Fronteras del Conocimiento: Enfoques Multidisciplinarios
Synopsis
Chapters
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Determinants of Burnout Syndrome and Its Impact on Patient Safety: A Systematic Review
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Bioinformatics applied to the analysis of genetic variants in Latin American populations: A systematic review of the literature
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The Impact of Microplastics on Freshwater Fauna: A Systematic Review
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Institutions for Development: How the Quality of Public Management Determines Economic Performance
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Classrooms Without Borders: Connected Learning and the Pedagogy of Real Impact
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Governance in the Age of Generative Artificial Intelligence: A Management Framework and Business Value
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Operational Resilience and Cybersecurity in IT Management: Strategies for Sustainable Digital Transformation in Modern Organizations
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Beyond the Screens: Redesigning Organizational Culture and Commitment in the Era of Hybrid Work
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Management of Cloud Architectures and Data Analytics: Optimization of IT Infrastructures for Strategic Decision-Making
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Generative Artificial Intelligence and Managerial Accountability: A Risk-Based Human Oversight Model
Downloads
References
Xu D, Zhou Y, Yan Y, Wang Y, Le Y, Ma Y, et al. Resilience and professional identity among young healthcare workers in a Shanghai megahospital during COVID-19: a cross-sectional study. Frontiers in Public Health. 2025; 13: p. https://doi.org/10.3389/fpubh.2025.1632053.
dos Santos Silva R, Mesquita I, Oliveira L, Nagumo M, Justo J, de Oliveira Pessoa G, et al. Prevalence of burnout syndrome in Brazilian neurosurgery residents: A nationwide questionnaire-based survey. Interdisciplinary Neurosurgery: Advanced Techniques and Case Management. 2026; 43: p. https://doi.org/10.1016/j.inat.2025.102160.
Žlibinaitė L, Yucel H. Agotamiento profesional y desarrollo profesional: un estudio de fisioterapeutas lituanos. Reabilitacijos Mokslai: Slauga, Kineziterapija, Ergoterapija. 2024; 2: p. https://doi.org/10.33607/rmske.v2i31.1536.
Rustandi R, Rahman F, Manduaru R, Mochtar C. Prevalence of burnout among urologist and its risk factors in Indonesia. African Journal of Urology. 2024; 30(1): p. https://doi.org/10.1186/s12301-024-00417-2.
Paudel N, KC P, Ghimire R, Nygård CH, Neupane S. Occupational burnout and their determinants among schoolteachers in Nepal: a cross-sectional study. BMC Psychiatry. 2024; 24(1): p. https://doi.org/10.1186/s12888-024-05923-9.
Rattray J, Miller J, Pollard B, McCallum L, Hull A, Ramsay P, et al. A model of occupational stress to assess impact of COVID-19 on critical care and redeployed nurses: a mixed-methods study. Health and social care delivery research. 2024; 13(23): p. https://doi.org/10.3310/PWRT8714.
Watkins V, Shee A, Field M, Alston L, Hills D, Albrecht S, et al. Rural healthcare workforce preparation, response, and work during the COVID-19 pandemic in Australia: Lessons learned from in-depth interviews with rural health service leaders. Health Policy. 2024; 145: p. https://doi.org/10.1016/j.healthpol.2024.105085.
World Health Organization. Patient safety. [Online].; 2023. Available from: https://www.who.int/news-room/fact-sheets/detail/patient-safety.
Štěpánek L, Horáková D, Král N, Štěpánek L, Býma S. Burnout syndrome among general practitioners in the Czech Republic: a repeated survey study. BMC Primary Care. 2024; 25(1): p. https://doi.org/10.1186/s12875-024-02675-z.
Seršić D, Rezić S. Do immediate supervisors underestimate burnout in subordinates? A comparison between burnout self-Assessment by nurses and assessment by immediate supervisors. Arhiv za Higijenu Rada i Toksikologiju. 2024; 75(4): p. https://doi.org/10.2478/aiht-2024-75-3883.
Goldberg D, Soylu T, Hoffman C, Kishton R, Cronholm P. “Anxiety, COVID, Burnout and Now Depression”: a Qualitative Study of Primary Care Clinicians’ Perceptions of Burnout. Journal of General Internal Medicine. 2024; 39(8): p. https://doi.org/10.1007/s11606-023-08536-2.
Miljeteig I, Førde R, Rø K, Bååthe F, Bringedal B. Moral distress among physicians in Norway: A longitudinal study. BMJ Open. 2024; 14(5): p. https://doi.org/10.1136/bmjopen-2023-080380.
Koloskova O, Kolubakina L, Vlasova O, Vlasova K, Yurkiv O. The level of anxiety and emotional burnout in students of higher medical education. Family Medicine and Primary Care Review. 2025; 27(4): p. https://doi.org/10.5114/fmpcr.2025.156536.
Volodymyrivna C, Svyatoslavovna K, Sergeevna H, Ivanovna K, Mikhailovich H. Predictors of professional motivation for the development of emotional burnout syndrome among medical workers worldwide and in ukraine. Ukraine. Nations Health. 2025; 2025(4): p. https://doi.org/10.32782/2077-6594/2025.4/10.
Chorna V, Petrushenko V, Rybinskyi M, Tomashevskyi A, Kolomiiets V, Poliarush V, et al. Psychological resilience and mentalization of military surgeons under combat stress: a multidisciplinary approach to overcoming emotional burnout. Travma. 2025; 2025(6): p. https://doi.org/10.22141/1608-1706.6.26.2025.1058.
Bizuneh B, Markos E, Lucero D, Markos T, Getachew H. Prevalence and associated factors of burnout syndrome among selected health care professionals at University Hospitals of Sidama Region and Southern, Ethiopia 2023. BMC Health Services Research. 2025; 25(1): p. https://doi.org/10.1186/s12913-025-12437-x.
Al Awn L, AlAmmari M, AlAbdulkarim D, AlAhmed R, Yadav B, AL-Jahdali H. Evaluating Safety and Effectiveness of Switching Biologics in Managing Severe Asthma Patients. Journal of Asthma and Allerg. 2025; 18: p. https://doi.org/10.2147/JAA.S516225.
Saraç Ö, Çardakcı Ş. Patient safety and ethical attitudes among dentistry and dental assisting students: a cross-sectional study. BMC Medical Education. 2025; 25(1): p. https://doi.org/10.1186/s12909-025-08329-7.
Jocic D. Psychological Safety and Burnout among Community Pharmacy Employees: A Longitudinal Study. Experimental and Applied Biomedical Research (EABR). 2025; 26(4): p. https://doi.org/10.2478/eabr-2025-0019.
Chen Y, Cai J. Prevalence and Associated Factors of Burnout Among Obstetrics and Gynecology Nurses: A Cross-Sectional Analysis. Journal of Evaluation in Clinical Practice. 2025; 31(8): p. https://doi.org/10.1111/jep.70315.
Kim D, Shin S. The Effects of Operating Room Nurses’ Experiences of Verbal Violence, Resilience, and Social Support on Post-Traumatic Stress. Healthcare (Switzerland). 2025; 13(16): p. https://doi.org/10.3390/healthcare13162027.
Villiger D. Patient–therapist relationship in psychedelic-assisted therapy: Implications for future real-world settings. General Hospital Psychiatry. 2025; 96: p. https://doi.org/10.1016/j.genhosppsych.2025.06.003.
Zhou H. Relationship between empathy and burnout as well as potential affecting and mediating factors from the perspective of clinical nurses: a systematic review. BMC Nursing. 2025; 24(1): p. https://doi.org/10.1186/s12912-025-02701-0.
Vijayakarthikeyan M, Mathew M, Raju S, Sangeetha S. Beyond the Stethoscope: Burnout Syndrome Among Interns and Postgraduates in a South Indian Tertiary Care Setting. National Journal of Community Medicine. 2025; 16(6): p. https://doi.org/10.55489/njcm.160620255190.
De Godoy C, Lima A, Hino P, Taminato M, Okuno M, Fernandes H. Burnout syndrome and accidents in primary healthcare nursing workers: a scoping review. BMC Nursing. 2025; 24(1): p. https://doi.org/10.1186/s12912-025-03004-0.
Elwyn G, Leavitt H, Vesling M, Jacobs C, Lund L. ‘A return on investment’. How shared decision-making benefits doctors: a key informant interview study. BMJ Open. 2025; 15(12): p. https://doi.org/10.1136/bmjopen-2025-107732.
Roshida D, Permatasari E, Handriyanto C, Cahyani S, Ramadan A. Burnout Management Model Based on Job Crafting Approaches for Nurses in Hospitals. Indonesian Journal of Occupational Safety and Health. 2025; 14(3): p. https://doi.org/10.20473/ijosh.v14i3.2025.348-355.
Hernández-Sampieri R, Mendoza C. Metodología de la investigación. Las rutas cuantitativa, cualitativa y mixta; 2018.
Nyirigira G, Bailey J, Rutayisire F, Neil K, Bould M, Kwizera R, et al. Staff burnout and its risk factors at King Faisal Hospital Rwanda: a cross-sectional survey. BMC Health Services Research. 2025; 25(1): p. https://doi.org/10.1186/s12913-025-12638-4.
Page M, McKenzie J, Bossuyt P, Boutron I, Hoffmann T, Mulrow C, et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ. 2021;: p. https://doi.org/10.1136/bmj.n71.
Saleh S, Roumieh B, Zein A. Impact of Nurses’ Burnout on Patient Safety among Lebanese Hospitals. Palestinian Medical and Pharmaceutical Journal. 2025; 10(4): p. https://doi.org/10.59049/2790-0231.10.4.2389.
Alcântara A, Maluf C, Caldas G, Rodrigues K, Gomes S, Giacometti I. Burnout, satisfaction and compassion fatigue: relationship with quality of care and patient safety. O Mundo Da Saúde. 2024; 48: p. https://doi.org/10.15343/0104-7809.202448e15802023P.
Smallwood N, Bismark M, Willis K. Burn-out in the health workforce during the COVID-19 pandemic: opportunities for workplace and leadership approaches to improve well-being. BMJ Leader. 2023; 7: p. https://doi.org/10.1136/leader-2022-000687.
Ferraiuolo F. Burnout and patient safety in operating room nurses during the COVID-19 pandemic: A cross-sectional study. Journal of Perioperative Nursing. 2025; 38(4): p. https://doi.org/10.26550/2209-1092.1345.
Lasater K, Aiken L, Sloane D, French R, Martin B, Reneau K, et al. Chronic hospital nurse understaffing meets COVID-19: an observational study. BMJ Quality & Safety. 2021; 30: p. https://doi.org/10.1136/bmjqs-2020-011512.
Cabrera C, Juna C. Agotamiento emocional en profesionales de enfermería en un servicio de emergencia, la seguridad del paciente. Enfermería Global. 2024;: p. https://doi.org/10.6018/eglobal.601771.
Lwiza A, Lugazia E. Burnout and associated factors among healthcare workers in acute care settings at a tertiary teaching hospital in Tanzania: An analytical cross-sectional study. Health Sci Rep. 2023;: p. https://doi.org/10.1002/hsr2.1256Digital Object Identifier (DOI).
Ma F, Zhu Y, Liu L, Chen H, Liu Y, Zhang F. Assessing the Impact of Burnout on Nurse Safety Behaviors and Patient Safety Competence: A Latent Profile Analysis Study. Journal of Nursing Management. 2025;(1): p. https://doi.org/10.1155/jonm/3793927.
Surendran A, Beccaria L, McIlveen P. Cognitive Burden in Emergency Care: A Qualitative Exploratory Study of Emergency Nurses. Journal of Nursing Management. 2025; 13: p. https://doi.org/10.1155/jonm/6332434.
Gao W,FGLDFG. Long-Term Effects of Structured Microbreak Interventions on Musculoskeletal Health, Psychological Wellbeing, and Patient Safety Among Operating Room Nurses: A Multicenter Longitudinal Cohort Study. .
Kübra B, Gülsoy Z, Karagözoglu Ş. Determining the relationship between moral intelligence and compassion fatigue in intensive care nurses. Nurs Crit Care. 2024; 29(6): p. https://doi.org/10.1111/nicc.13166.
French R, Aiken L, Fitzpatrick K, Lasater K. Conditions of Nursing Practice in Hospitals and Nursing Homes Before COVID-19: Implications for Policy Action. Journal of Nursing Regulation Home. 2022; 13(1): p. https://doi.org/10.1016/S2155-8256(22)00033-3.
Bani S, Abu E. Relationship Between Alarm Fatigue and Stress Among Acute Care Nurses: A Cross-Sectional Study. SAGE Open Nurs. 2024;: p. https://doi.org/10.1177/23779608241292584.
Garcia J, Cárdenas Y, García I, Vallejo S, Arteaga A. Working conditions of intensive care unit nurses and quality of care during the pandemic: a qualitative study. Revista Brasileira de medicina do trabalho. 2024; 22(4): p. https://doi.org/10.47626/1679-4435-2024-1277.
Wu S, Sun Y, Zhong Z, Li H, Ding B, Deng Q. The effect of moral distress on emergency nurses job burnout: the mediating roles of hospital ethical climate and moral resilience. Front. Public Health. 2025; 13: p. https://doi.org/10.3389/fpubh.2025.1562209.
Chao Q, Xing L, Lei H, BinBin X, Yan W, Junjie H, et al. Critical care, critical gaps: assessment of burnout and behavioral profiles of ICU healthcare workers in China—a multicenter cross-sectional study. Front. Public Health. 2025; 13: p. https://doi.org/10.3389/fpubh.2025.1617081.
Ryu SSJ. The Influence of Burnout on Patient Safety Management Activities of Shift Nurses: The Mediating Effect of Compassion Satisfaction. International Journal of Environmental Research and Public Health. 2021; 18(22): p. https://doi.org/10.3390/ijerph182212210.
Brborović O, Brborović H, Hrain L. The COVID-19 Pandemic Crisis and Patient Safety Culture: A Mixed-Method Study. Int. J. Environ. Res. Public Health. 2022; 19(4): p. https://doi.org/10.3390/ijerph19042237.
Cerela-Boltunova O, Millere I. Exploring the Relation Between Nursing Workload and Moral Distress, Burnout, and Turnover in Latvian Intensive Care Units: An Ecological Analysis of Parallel Data. International Journal of Environmental Research and Public Health. 2025; 22(9): p. https://doi.org/10.3390/ijerph22091442.
Al Balushi A, Alameddine M, Fai M, Al Saadoon M, Bou-Karroum K, Al-Adawi S. Factors associated with self-reported medical errors among healthcare workers: a cross-sectional study from Oman. International Journal for Quality in Health Care. 2021; 33(3): p. https://doi.org/10.1093/intqhc/mzab102.
Hajizadeh A, Amini B, Sadeghpour S, Khodavandi M, Saeidpour J, Kakemam E. Nurses’ perception of patient safety culture using the Hospital Survey on Patient Safety Culture tool and its association with nursing-patient outcomes: a systematic review in Iranian hospitals. BMC Nursing. 2025; 24(774): p. https://doi.org/10.1186/s12912-025-03305-4.
Asgarian A, Sadeghi R, Abolhasani F, Mohammadbeigi A. Association between Job Satisfaction, Burnout, and Patient Safety Culture among Medical Staff of the Qom University of Medical Sciences in 2020, Iran. Journal of Occupational Health and Epidemiology. 2021; 10(2): p. https://doi.org/10.52547/johe.10.2.127.
Labrague L, Al Sabei S, Al Rawajfah O, Burney I, AbuAlRub R. Linking Emotional Exhaustion to Adverse Patient Events in Paediatric and Womens Health Nursing Units: The Mediating Role of Nurses Adherence to Patient Safety Protocols. Int J Nurs Pract. 2025; 31: p. https://doi.org/10.1111/ijn.70026.
Quigley D, Slaughter M, Qureshi N, Gidengil C, Hays R. Associations of pediatric nurse burnout with involvement in quality improvement. Journal of Pediatric Nursing. 2022; 70: p. https://doi.org/10.1016/j.pedn.2022.11.001.
Salvo M, González-Feliú E, Toro J, Gallegos I, Maureira I, Miranda-González N, et al. Validation of an NGS Panel Designed for Detection of Actionable Mutations in Tumors Common in Latin America. JPM. 2021; 11: p. 899.
Angulo-Aguado M, Carrillo-Martinez JC, Contreras-Bravo NC, Morel A, Parra-Abaunza K, Usaquén W, et al. Next-generation sequencing of host genetics risk factors associated with COVID-19 severity and long-COVID in Colombian population. Sci Rep. 2024; 14: p. 8497.
Fernández-Gajardo R, Urra H, Sáez M, Pihán P, Fonseca B, Sanchez-Doñas C, et al. Characterization of the mutational status of glioblastoma and high-grade astrocytomas in a Latin American cohort. Sci Rep. 2025; 15: p. 34485.
Sohail M, Palma-Martínez MJ, Chong AY, Quinto-Cortés CD, Barberena-Jonas C, Medina-Muñoz SG, et al. Mexican Biobank advances population and medical genomics of diverse ancestries. Nature. 2023; 622: p. 775–783.
Jiménez-Kaufmann A, Chong AY, Cortés A, Quinto-Cortés CD, Fernandez-Valverde SL, Ferreyra-Reyes L, et al. Imputation Performance in Latin American Populations: Improving Rare Variants Representation With the Inclusion of Native American Genomes. Front. Genet. 2022; 12: p. 719791.
Paixão D, Torrezan GT, Santiago KM, Formiga MN, Ahuno ST, Dias-Neto E, et al. Characterization of genetic predisposition to molecular subtypes of breast cancer in Brazilian patients. Front. Oncol. 2022; 12: p. 976959.
Rivas S, Sepúlveda RV, Tapia I, Estay C, Soto V, Blanco A, et al. MET Exon 14 Skipping and Novel Actionable Variants: Diagnostic and Therapeutic Implications in Latin American Non-Small-Cell Lung Cancer Patients. IJMS. 2024; 25: p. 13715.
Leitão LPC, De Carvalho DC, Rodrigues JCG, Fernandes MR, Wanderley AV, Vinagre LWMS, et al. Identification of Genomic Variants Associated with the Risk of Acute Lymphoblastic Leukemia in Native Americans from Brazilian Amazonia. JPM. 2022; 12: p. 856.
Jaramillo‐Valverde L, Horton MK, Poterico JA, Lanata CM, Guio H. Pharmacogenetic Study of Anti‐ TB Drugs in the Native Ancestry Peruvian Population. Pharmacology Res & Perspec. 2025; 13: p. e70135.
Cadena-Ullauri S, Ruiz-Pozo VA, Paz-Cruz E, Tamayo-Trujillo R, Guevara-Ramírez P, Jaramillo-Calvas O, et al. Evaluating Liquid Biopsy for Circulating Tumor DNA (ctDNA) Detection as a Complementary Diagnostic Tool in Thyroid Cancer Among Ecuadorian Women. IJMS. 2025; 26: p. 6987.
Molina-Mora JA, Reales-González J, Camacho E, Duarte-Martínez F, Tsukayama P, Soto-Garita C, et al. Overview of the SARS-CoV-2 genotypes circulating in Latin America during 2021. Front. Public Health. 2023; 11: p. 1095202.
Mena MD, Moresco AA, Vidal SH, Aguilar-Cortes D, Obregon MG, Fandiño AC, et al. Clinical and Genetic Spectrum of Stargardt Disease in Argentinean Patients. Front. Genet. 2021; 12: p. 646058.
Abreu GDM, Tarantino RM, Da Fonseca ACP, Andrade JRFDO, De Souza RB, Soares CDAPD, et al. Identification of Variants Responsible for Monogenic Forms of Diabetes in Brazil. Front. Endocrinol. 2022; 13: p. 827325.
Valverde-Hernández JC, Flores-Cruz A, Chavarría-Soley G, Silva De La Fuente S, Campos-Sánchez R. Frequencies of variants in genes associated with dyslipidemias identified in Costa Rican genomes. Front. Genet. 2023; 14: p. 1114774.
Rhead B, Hein DM, Pouliot Y, Guinney J, De La Vega FM, Sanford NN. Association of genetic ancestry with molecular tumor profiles in colorectal cancer. Genome Med. 2024; 16: p. 99.
Gionda PO, Gomes-Gouvea M, Malta FDM, Sebe P, Salles APM, Francisco RDS, et al. Analysis of the complete genome of HBV genotypes F and H found in Brazil and Mexico using the next generation sequencing method. Annals of Hepatology. 2022; 27: p. 100569.
Cecchini D, Sfalcin J, Zapiola I, Gomez A, Fernandez-Giuliano S, Rodriguez C, et al. Integrase strand transfer inhibitors resistance-associated mutations in HIV-infected pregnant women. Rev Esp Quimioter. 2024; 37: p. 479–485.
Chacon-Camacho OF, Xilotl-de Jesús N, Calderón-Martínez E, Ordoñez-Labastida V, Neria-Gonzalez MI, Villafuerte-de La Cruz R, et al. Genotypic spectrum of ABCA4-associated retinal degenerations in 211 unrelated Mexican patients: identification of 22 novel disease-causing variants. Mol Genet Genomics. 2024; 299: p. 79.
Silgado-Guzmán DF, Angulo-Aguado M, Morel A, Niño-Orrego MJ, Ruiz-Torres DA, Contreras Bravo NC, et al. Characterization of ADME Gene Variation in Colombian Population by Exome Sequencing. Front. Pharmacol. 2022; 13: p. 931531.
Cadena-Ullauri S, Guevara-Ramírez P, Ruiz-Pozo VA, Tamayo-Trujillo R, Paz-Cruz E, Becerra-Fernández M, et al. Population Admixture and APOB Variant Landscape in Ecuadorian Mestizo Patients with Cardiac Diseases: Potential Implications for Familial Hypercholesterolemia Genetics. JCDD. 2026; 13: p. 36.
De Oliveira Cavagna R, Escremim De Paula F, Berardinelli GN, Bonatelli M, Santana I, Reis MT, et al. Clinical and molecular characterization of a large Brazilian lung cancer cohort: a real-world observational study. The Lancet Regional Health - Americas. 2026; 56: p. 101429.
Silva NSB, Bourguiba‐Hachemi S, Ciriaco VAO, Knorst SHY, Carmo RT, Masotti C, et al. A multi‐ethnic reference panel to impute classical and non‐classical class I alleles in admixed samples: Testing imputation accuracy in an admixed sample from Brazil. HLA. 2024; 103: p. e15543.
Cancela F, Ramos N, Smyth DS, Etchebehere C, Berois M, Rodríguez J, et al. Wastewater surveillance of SARS-CoV-2 genomic populations on a country-wide scale through targeted sequencing. PLoS ONE. 2023; 18: p. e0284483.
Cadena-Ullauri S, Guevara-Ramirez P, Ruiz-Pozo V, Tamayo-Trujillo R, Paz-Cruz E, Sánchez Insuasty T, et al. Case report: Genomic screening for inherited cardiac conditions in Ecuadorian mestizo relatives: Improving familial diagnose. Front. Cardiovasc. Med. 2022; 9: p. 1037370.
Douillard V, Dos Santos Brito Silva N, Bourguiba‐Hachemi S, Naslavsky MS, Scliar MO, Duarte YAO, et al. Optimal population‐specific HLA imputation with dimension reduction. HLA. 2024; 103: p. e15282.
Montella T, Zalis M, Zukin M, Cordeiro De Lima VC, Baldotto C, De Marchi P, et al. EGFR Mutation Detection in Brazilian Patients With Non–Small-Cell Lung Cancer: Lessons From Real-World Data Scenario of Molecular Testing. JCO Global Oncology. 2023;: p. e2200426.
Nóbrega PR, Paiva ARB, Amorim Junior AD, Lima PLGSB, Cabral KSS, Barcelos IP, et al. Further description of the phenotypic spectrum of neuronal ceroid lipofuscinosis type 11. Genetics in Medicine. 2025; 27: p. 101291.
Luce L, Carcione M, Mazzanti C, Buonfiglio PI, Dalamón V, Mesa L, et al. Theragnosis for Duchenne Muscular Dystrophy. Front. Pharmacol. 2021; 12: p. 648390.
Sohail M, Moreno-Estrada A. The Mexican Biobank Project promotes genetic discovery, inclusive science and local capacity building. Disease Models & Mechanisms. 2024; 17: p. dmm050522.
Cadena-Ullauri S, Guevara-Ramírez P, Ruiz-Pozo VA, Tamayo-Trujillo R, Paz-Cruz E, Simancas-Racines D, et al. Genomic analysis of an Ecuadorian individual carrying an SCN5A rare variant. BMC Cardiovasc Disord. 2024; 24: p. 388.
Giacomazzi J, Ziegelmann PK, Da Costa S, Bittar CM, Obst FM, Rosset C, et al. Cancer Risk Factors in Southern Brazil: Report of a Comprehensive, Matched Case-Control Study. JCO Glob Oncol. 2023;: p. e2300006.
Brito F, Lagos C, Cubillos J, Orellana J, Gajardo M, Böhme D, et al. Genomic analysis in Chilean patients with suspected Rett syndrome: keep a broad differential diagnosis. Front. Genet. 2024; 15: p. 1278198.
Romer G, Bracco LA, Ricci AD, Balouz V, Berná L, Villar JC, et al. Deep serological profiling of the Trypanosoma cruzi TSSA antigen reveals different epitopes and modes of recognition by Chagas disease patients. PLoS Negl Trop Dis. 2023; 17: p. e0011542.
Alvarado-Orosco N, Gomis-Font MA, Sastre-Femenia MA, Ribera Ortiz S, Miranda Arce M, Araúz Barba ME, et al. First nationwide survey on in Bolivia: susceptibility profiles, resistome, and genomic epidemiology. Antimicrob Agents Chemother. 2025; 69: p. e01163–25.
Cuadros-Espinoza S, Laval G, Quintana-Murci L, Patin E. The genomic signatures of natural selection in admixed human populations. The American Journal of Human Genetics. 2022; 109: p. 710–726.
Guevara-Ramírez P, Cadena-Ullauri S, Tamayo-Trujillo R, Ruiz-Pozo VA, Paz-Cruz E, Ibarra-Castillo R, et al. Spectrum and Clinical Interpretation of TTN Variants in Ecuadorian Patients with Heart Disease: Insights into VUS and Likely Pathogenic Variants. IJMS. 2025; 26: p. 11896.
Aguilar-Zamora E, Weimer BC, Torres RC, Gómez-Delgado A, Ortiz-Olvera N, Aparicio-Ozores G, et al. Molecular Epidemiology and Antimicrobial Resistance of Clostridioides difficile in Hospitalized Patients From Mexico. Front. Microbiol. 2022; 12: p. 787451.
Jaramillo‐Valverde L, Levano KS, Tarazona DD, Capristano S, Sanchez C, Poterico JA, et al. Pharmacogenetic variability of tuberculosis biomarkers in native and mestizo Peruvian populations. Pharmacology Res & Perspec. 2024; 12: p. e1179.
Molina-Mora JA, Cordero-Laurent E, Godínez A, Calderón-Osorno M, Brenes H, Soto-Garita C, et al. SARS-CoV-2 genomic surveillance in Costa Rica: Evidence of a divergent population and an increased detection of a spike T1117I mutation. Infection, Genetics and Evolution. 2021; 92: p. 104872.
Mueller M, Blandino A, Scherer D, Zulantay I, Apt W, Varela NM, et al. Small-RNA sequencing identifies serum microRNAs associated with abnormal electrocardiography findings in patients with Chagas disease. Journal of Infection. 2025; 91: p. 106613.
Zuccherato LW, Souza RP, Camelo RM, Santana MAP, Dias MM, Jardim LL, et al. Deleterious variants cluster in the A3 domain of factor VIII in people with severe hemophilia A and inhibitors. Research and Practice in Thrombosis and Haemostasis. 2025; 9: p. 103006.
Uricoechea Patiño D, Collins A, García OJR, Santos Vecino G, Cuenca JVR, Bernal JE, et al. High Mitochondrial Haplotype Diversity Found in Three Pre-Hispanic Groups from Colombia. Genes. 2023; 14: p. 1853.
Melendez-Montañez JM, De Jesus-Rojas W. The Tip of the Iceberg: Genotype of Puerto Rican Pediatric Obesity. Genes. 2024; 15: p. 394.
Barra-Matos G, Gouvea De Souza F, Santos Silva C, Epifane-de-Assunção M, Belém Souza MV, Cavaleiro De Macêdo LC, et al. Mitochondrial insertions/deletions (INDELs) burden in Parkinsons disease: an analysis from a Brazilian cohort. Parkinsonism & Related Disorders. 2026; 145: p. 108250.
Gómez-Flores-Ramos L, Barraza-Arellano AL, Mohar A, Trujillo-Martínez M, Grimaldo L, Ortiz-Lopez R, et al. Germline Variants in Cancer Genes from Young Breast Cancer Mexican Patients. Cancers. 2022; 14: p. 1647.
Galán-Huerta KA, Flores-Treviño S, Salas-Treviño D, Bocanegra-Ibarias P, Rivas-Estilla AM, Pérez-Alba E, et al. Prevalence of SARS-CoV-2 Variants of Concern and Variants of Interest in COVID-19 Breakthrough Infections in a Hospital in Monterrey, Mexico. Viruses. 2022; 14: p. 154.
Gondola J, Aguilar C, Castillo J, Gonzalez C, Moreno A, Chavarria O, et al. Genotypes and Mutations Associated with Macrolide Resistance of Chlamydia trachomatis in Urine Samples in School-Going, Urban Adolescents 14–19 Years from Panama: A Cross-Sectional Descriptive Study. Microbiology Research. 2024; 15: p. 2007–2014.
Martínez JRW, Alcalde-Rico M, Jara-Videla E, Reyes J, Carvajal LP, Rincon S, et al. Geographic divergence of methicillin-resistant h ST5-SCC I in the aftermath of a major earthquake and tsunami: impact of a plasmid harboring heavy metal resistance genes. mBio. 2025; 16: p. e03669–24.
Chen Z, Toro M, Moreno-Switt AI, Adell AD, Delgado-Suárez EJ, Bonelli RR, et al. Unveiling the genomic landscape of serotypes Typhimurium, Newport, and Infantis in Latin American surface waters: a comparative analysis. Microbiol Spectr. 2024; 12: p. e00047–24.
Siegel SV, Trimarsanto H, Amato R, Murie K, Taylor AR, Sutanto E, et al. Lineage-informative microhaplotypes for recurrence classification and spatio-temporal surveillance of Plasmodium vivax malaria parasites. Nat Commun. 2024; 15: p. 6757.
Marín JEO, Villatoro E, Luna MJ, Barrientos AM, Mendoza E, Lemos APS, et al. Emergence of MDR invasive in El Salvador, 2017–19. Journal of Antimicrobial Chemotherapy. 2021; 76: p. 1155–1159.
Spangenberg L, Fariello MI, Arce D, Illanes G, Greif G, Shin JY, et al. Indigenous Ancestry and Admixture in the Uruguayan Population. Front. Genet. 2021; 12: p. 733195.
Chen D, Storey JD. Coancestry superposed on admixed populations yields measures of relatedness at individual-level resolution. PLoS Comput Biol. 2025; 21: p. e1013848.
Zambrano-O YT, Mejía-Garcia A, Morales PD, Tsao HM, Rey-Vargas L, Montero-Ovalle W, et al. Inference of genetic ancestry from a multi-gene cancer panel in Colombian women with cancer. Breast Cancer Res Treat. 2025; 210: p. 251–259.
Bispo AG, Souza FGD, Epifane-de-Assunção M, Sena-dos-Santos C, Barra-Matos G, Moura DD, et al. Molecular analysis of mitochondrial complex I in the levodopa short duration response in Parkinsons disease. Parkinsonism & Related Disorders. 2026; 145: p. 108252.
Deiana M, Malagò S, Mori A, Accordini S, Matucci A, Passarelli Mantovani R, et al. Full Genome Characterization of the First Oropouche Virus Isolate Imported in Europe from Cuba. Viruses. 2024; 16: p. 1586.
Chen Z, Moreno-Switt AI, Reyes-Jara A, Delgado Suarez E, Adell AD, Oliveira CJB, et al. A multicenter genomic epidemiological investigation in Brazil, Chile, and Mexico reveals the diversity and persistence of populations in surface waters. mBio. 2024; 15: p. e00777–24.
Nøhr AK, Hanghøj K, Garcia-Erill G, Li Z, Moltke I, Albrechtsen A. NGSremix: a software tool for estimating pairwise relatedness between admixed individuals from next-generation sequencing data. G3 GenesGenomesGenetics. 2021; 11: p. jkab174.
Fu H, Shi G. Local Ancestry Inference Based on Population-Specific Single-Nucleotide Polymorphisms—A Study of Admixed Populations in the 1000 Genomes Project. Genes. 2024; 15: p. 1099.
Honorato-Mauer J, Shah NN, Maihofer AX, Zai CC, Belangero S, Nievergelt CM, et al. Characterizing features affecting local ancestry inference performance in admixed populations. The American Journal of Human Genetics. 2025; 112: p. 224–234.
Esteves B, Melo-Braga M, Gorshkov V, Verano-Braga T, Larsen M, Gontijo C, et al. Characterization of Differentially Abundant Proteins Among Leishmania (Viannia) braziliensis Strains Isolated From Atypical or Typical Lesions. Frontiers in Cellular and Infection Microbiology. 2022; 12: p. 824968.
Valentí-Muelas J, Allen S, Waugh L. Polyester Microfiber Dynamics in an Estuarine Semi-Enclosed Basin. Journal of Geophysical Research: Oceans. 2025; 131(3): p. https://doi.org/10.1029/2025JC023366.
Ran H, Wu Q, Peng M, Gao S, Guo M, Zeng J, et al. Identifying the contribution of urban input to river microplastics: From the upper reach to estuary. Journal of Hydrology. 2025; 662(133817): p. https://doi.org/10.1016/j.jhydrol.2025.133817.
Billings A, Jones K, Pereira M, Spurgeon D. Emerging and legacy plasticisers in coastal and estuarine environments: A review. Science of the Total Environment. 2024; 908(168462): p. https://doi.org/10.1016/j.scitotenv.2023.168462.
Garcés-Ordóñez O, Castillo-Olaya V, Espinosa-Díaz L, Canals M. Seasonal variation in plastic litter pollution in mangroves from two remote tropical estuaries of the Colombian Pacific. Marine Pollution Bulletin. 2023; 193(115210): p. https://doi.org/10.1016/j.marpolbul.2023.115210.
Khusanov A, Tashbaev S, Frank Y, Nizomov J, Vorobiev D, Kuranov A, et al. Evaluating Microplastic Pollution in Key Water Basins of Tashkent and Jizzakh, Uzbekistan: A Preliminary Study. Water, Air, and Soil Pollutio. 2026; 237(411): p. https://doi.org/10.1007/s11270-025-09031-6.
Peller J, Eberhardt L, Clark R, Nelson C, Kostelnik E, Iceman C. Tracking the distribution of microfiber pollution in a southern Lake Michigan watershed through the analysis of water, sediment and air. Environmental Science: Processes and Impacts. 2019; 21(9): p. https://doi.org/10.1039/c9em00193j.
Wolinski A, Ferret M, Calvès I, Tettling L, Pruski A, Lavergne E, et al. High microplastic exposure affects survival and health of Dreissena spp. mussels: implications for freshwater pollution monitoring. Environmental Pollution. 2025; 385(127123): p. https://doi.org/10.1016/j.envpol.2025.127123.
Hussain M, Blache D, Money S. Impact of Microplastics on the Physiology of Benthos. Microplastic Pollution. 2024;: p. https://doi.org/10.1007/978-981-99-8357-5_21.
Saltzman J, Hlavin J, Martin C, Yeager E, Macdonald C. Behavioral Evidence of Predator–Predator Commensalism: Cobia Track and Feed on Prey Disturbed by Southern Stingrays. Ethology. 2026; 132(3): p. https://doi.org/10.1111/eth.70044.
Zhang J, Choi C. Improved Settling Velocity for Microplastic Fibers: A New Shape-Dependent Drag Model. Environmental Science and Technology. 2022; 56(2): p. https://doi.org/10.1021/acs.est.1c06188.
de Souza J, de Pinho J, de Almeida P, de Melo A, Bergsten-Torralba L, Conte-Junior C. A Systematic Review of Microplastic Contamination in Commercially Important Bony Fish and Its Implications for Health. Environments. 2024; 11(8): p. https://doi.org/10.3390/environments11080174.
Namin J, Mahalleh F. Microplastic as a vector of heavy metals and chemicals in aquatic ecosystems. Caspian Journal of Environmental Sciences. 2025; 23(5): p. https://doi.org/10.22124/cjes.2024.8016.
Mohd A, Anuar S, Azmi A, Yusof K, Khalik W, Ibrahim Y. Microplastics as the vector for the attachment of polychlorinated biphenyls: A case study of urbanized Langat River, Malaysia. Marine Pollution Bulletin. 2025; 220(118382): p. https://doi.org/10.1016/j.marpolbul.2025.118382.
Zhang Z, Wu P, Wang X, Pang Q, Wang Y, Zhang X, et al. Ecological risk assessment of marine plastic pollution. Nature Research. 2025; 8(10): p. https://doi.org/10.1038/s41893-025-01620-x.
Du J, Qiu L, Zhou Q, Jin M, Wu W. Microplastics as vectors for environmental contaminants in the food chain: Assessing the combined toxicological effects and bioavailability. Toxicology Letter. 2025; 413(111734): p. https://doi.org/10.1016/j.toxlet.2025.111734.
Chen C, Zheng N, Zhu H, An Q, Li X, Peng L, et al. Polylactic acid microplastics and earthworms drive cadmium bioaccumulation and toxicity in the soil–radish health community. Journal of Hazardous Materials. 2025; 493(138391): p. https://doi.org/10.1016/j.jhazmat.2025.138391.
Cheng Y, Chen J, Fu R, Zhang P, Chen H, Cao H, et al. Molecular mechanism differences between nanoplastics and microplastics in colon toxicity: nanoplastics induce ferroptosis-mediated immunogenic cell death, while microplastics cause cell metabolic reprogramming. Journal of Nanobiotechnology. 2025; 23(1): p. https://doi.org/10.1186/s12951-025-03545-1.
Chen S, Ye W, Clements K, Zan Z, Zhao W, Zou H, et al. Bacillus licheniformis FA6 Affects Zebrafish Lipid Metabolism through Promoting Acetyl-CoA Synthesis and Inhibiting β-Oxidation. International Journal of Molecular Sciences. 2023; 24(1): p. https://doi.org/10.3390/ijms24010673.
Gałęcka I, Rychlik A, Całka J. Influence of selected dosages of plastic microparticles on the porcine fecal microbiome. Scientific Reports. 2025; 15(1): p. https://doi.org/10.1038/s41598-024-80337-x.
Zolotova N, Kirillova M, Dzhalilova D, Tsvetkov I, Fokichev N, Makarova O. Microplastics’ Impact on the Development of AOM/DSS-Induced Colitis-Associated Colorectal Cancer in Mice. International Journal of Molecular Sciences. 2025; 26(23): p. https://doi.org/10.3390/ijms262311511.
Abida , Kamal M, Alqurashi A, Alhuthli S, Alharbi M, Alghamdi B, et al. Extracellular vesicles in malaria pathogenesis and Therapy: Emerging insights and future perspectives. Microbial Pathogenesis. 2025; 207(107902): p. https://doi.org/10.1016/j.micpath.2025.107902.
Salla R, Oliveira F, Jacintho J, Cirqueira F, Tsukada E, Vieira L, et al. Microplastics and TiO2 nanoparticles mixture as an emerging threat to amphibians: A case study on bullfrog embryos. Environmental Pollution. 2024; 346(123624): p. https://doi.org/10.1016/j.envpol.2024.123624.
Al Jabri N, Al Habsi A, BaOmer T, Barry M. Microplastics and Copper Affect Zebrafish Behavior and Responses to Predation Threat. Archives of Environmental Contamination and Toxicology. 2025; 89(3): p. https://doi.org/10.1007/s00244-025-01160-7.
Wang J, Sun M, Liu W, Wang F, Abakumov E, Mo M, et al. Understanding the ecological impacts of biodegradable microplastics. Journal of Hazardous Materials. 2025; 500(140418): p. https://doi.org/10.1016/j.jhazmat.2025.140418.
Scaramozzino P, Battisti S, Desiato R, Tamba M, Fedrizzi G, Ubaldi A, et al. Application of a risk-based standardized animal biomonitoring approach to contaminated sites. Environmental Monitoring and Assessment. 2019; 191(8): p. https://doi.org/10.1007/s10661-019-7653-3.
Goessens T, De Baere S, De Troyer N, Deknock A, Goethals P, Lens L, et al. Multi-residue analysis of 20 mycotoxins including major metabolites and emerging mycotoxins in freshwater using UHPLC-MS/MS and application to freshwater ponds in flanders, Belgium. Environmental Research. 2021; 196(110366): p. https://doi.org/10.1016/j.envres.2020.110366.
Page M, McKenzie J, Bossuyt P, Boutron I, Hoffmann T, Mulrow C, et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ. 2021;: p. https://doi.org/10.1136/bmj.n71.
Martínez Rodríguez A, Kratina P, Jones JI. Different impacts of oil-based and bio-based microplastics on isotopic composition and stoichiometry of a model freshwater grazer. Environmental Research. 2025 March; 268: p. 120782.
Sebteoui K, Csabai Z, Stanković J, Baranov V, Jovanović B, Milošević D. Downsizing plastics, upsizing impact: How microplastic particle size affects Chironomus riparius bioturbation activity. Environmental Research. 2025 April; 270: p. 121055.
Michon E, Kabir AHME, Houde M, Mingelbier M, Soubaneh YD, Provencher JF, et al. Microplastic contamination in fish from the St. Lawrence River and Estuary: Roles of semisynthetic polymers, passive uptake, and wastewater inputs. Environmental Research. 2025 December; 287: p. 123170.
Garcia-Garin O, Burzón M, Cardona L, Ramos R. Plastic exposure risk for costal seabirds varies seasonally with freshwater runoff. Science of The Total Environment. 2025 May; 976: p. 179316.
Kwon YS, Park CB, Lee SM, Park JW, Kim YJ, Kim JH, et al. Comprehensive analysis of proteomic and biochemical responses of Daphnia magna to short-term exposure to polystyrene microplastic particles. Ecotoxicology and Environmental Safety. 2025 January; 290: p. 117581.
Kong ZH, Liu T, Burdon FJ, Truchy A, Futter M, Bundschuh M, et al. Microplastics in freshwaters: Comparing effects of particle properties and an invertebrate consumer on microbial communities and ecosystem functions. Ecotoxicology and Environmental Safety. 2025 January; 289: p. 117697.
Li H, Song W, Wang S, Wang Y, Ma Y, Su Y, et al. Ingestion of melamine cleaning sponges-derived microplastic fibers affects the survival and reproduction of Daphnia magna. Ecotoxicology and Environmental Safety. 2025 January; 290: p. 117814.
Ma J, Lv C, Gong Z, Zhang K, Wang S, Li R, et al. Promotion of microplastic degradation on the conjugative transfer of antibiotic resistance genes in the gut of macrobenthic invertebrates. Ecotoxicology and Environmental Safety. 2025 March; 293: p. 117999.
Abbas M, Jafir M, Nazir T, Hussain S, Sarwar N, Song L, et al. A global meta-analysis reveals the toxicity of plastics on insect health. Ecotoxicology and Environmental Safety. 2025 September; 302: p. 118611.
Zhou Z, Zhao X, Liang L, Su M, Sun W, Shen J, et al. Comparative analysis of the toxicological and histopathological impact of microplastic fibers and microbeads in exposure associated with dibutyl phthalate in zebrafish (Danio rerio). Ecotoxicology and Environmental Safety. 2025 September; 303: p. 119053.
Doria HB, Sohal N, Feldmeyer B, Pfenninger M. Size over substance: Microplastic particle size drives gene expression and fitness loss in a freshwater insect. Aquatic Toxicology. 2025 July; 284: p. 107386.
Horváth G, Herczeg D, Kovács B, Péntek Á, Kaczur B, Herczeg G. Microplastic uptake with food increases risk-taking of a wide-spread decomposer, the common pill bug Armadillidium vulgare. Environmental Pollution. 2025 June; 374: p. 126220.
Ramsperger AFRM, Wieland S, Wilde MV, Fröhlich T, Kress H, Laforsch C. Cellular internalization pathways of environmentally exposed microplastic particles: Phagocytosis or macropinocytosis? Journal of Hazardous Materials. 2025 June; 489: p. 137647.
Van Der Plas M, Nederstigt TAP, Trimbos KB, Vijver MG. Size-dependent impacts from polystyrene micro- and nanoplastics on freshwater invertebrates: A mesocosm study combining environmental DNA metabarcoding and morphological identification. Journal of Hazardous Materials. 2025 December; 500: p. 140304.
Shahriar SIM, Islam N, Emon FJ, Nepal V, Khan S, Shahjahan M. Combined impacts of organophosphate pesticide and polyamide microplastics on growth, hematology, and immune responses in juvenile striped catfish (Pangasianodon hypophthalmus). Emerging Contaminants. 2025 September; 11: p. 100520.
Martin C, Steenson R, Nicoll M, Galarza A, Spatharis S, Salmón P. Microplastic exposure and body condition in White-throated dipper (Cinclus cinclus) nestlings across anthropogenic landscapes in Scotland and the Basque Country (Spain). Environmental Research. 2026 March; 295: p. 123989.
Cheung SJ, Masud N, Robison-Smith C, Hansal P, Davies-Jones J, Ward BD, et al. Assessing the chemical interactions and biological effects of a petrochemical and bio-based plastic with a common plastic flame retardant and solvent. Science of The Total Environment. 2025 January; 958: p. 177958.
Mattson G, Allen S. Acute sublethal and lethal effects of tire wear particle leachate on larval fathead minnows (Pimephales promelas). Ecotoxicology and Environmental Safety. 2026 January; 309: p. 119627.
Teng M, Li Y, Zhao L, White JC, Sun J, Zhang Z, et al. Life cycle exposure to differentially charged polystyrene nanoplastics leads to gender-specific particle accumulation and neurotoxicity in zebrafish (Danio rerio). Environment International. 2025 April; 198: p. 109441.
Wolinski A, Ferret M, Bergeron B, Tettling L, Lavergne E, Pruski AM, et al. Marine and freshwater mussels as biomonitors for microplastic concentrations: A comparative laboratory study. Aquatic Toxicology. 2026 February; 291: p. 107659.
Barros J, Kumar S, Tanfous SB, Graça M, Seena S. Nanoplastics intensify metal-induced impacts in freshwater ecosystems. Aquatic Toxicology. 2026 February; 291: p. 107691.
Marelja M, Ma C, Ibelings BW, Slaveykova VI. Species-specific impacts of fibrous microplastics on behavior, survival and oxidative stress in freshwater zooplankton. Journal of Hazardous Materials. 2026 January; 501: p. 140718.
Mensah PK, Griffin NJ, Mgaba N, Akwetey MFA, Odume ON. Toxicity of Commonly Used Plasticizers to the Freshwater Organisms (Fish) and (Shrimp): Lethal and Sublethal Effects. Environmental Toxicology. 2026 January; 41: p. 81–94.
Rasta M, Lashkaryan NS, Shi X, Taleshi MS, Vayghan AH, Ahmadi A, et al. Flow-dependent modulation of microplastic toxicity in grass carp: Insights from multi-level biological endpoints and machine learning. Journal of Hazardous Materials. 2026 January; 502: p. 141020.
Turhan DO, Benli CA, Yurekli M, Güngördü A. The single and combined effects of deltamethrin and polyethylene microplastics on the development and biochemical responses of Xenopus laevis in early life stages. Ecotoxicology. 2026 March; 35: p. 37.
Hassan YAM, Badrey AEA, Osman AGM, Mahdy A. Distribution and Abundance of Microplastics (MPs) in the Water, Sediment, and Some Freshwater Animals, Nile River, Upper Egypt. Water Air Soil Pollut. 2026 January; 237: p. 34.
Gheorghe Ş, Pătraşcu AM, Stoica C, Balas M, Feodorov L. Ecotoxicological Effects of Polystyrene Particle Mix (20, 200, and 430 µm) on Cyprinus carpio. Toxics. 2025 March; 13: p. 246.
Acemoglu, D., & Robinson, J. A. (2012). Why nations fail: The origins of power, prosperity, and poverty. Crown Business.
Acemoglu, D., & Robinson, J. A. (2020). The narrow corridor: States, societies, and the fate of liberty. Penguin Books.
Andrews, M., Pritchett, L., & Woolcock, M. (2022). Building state capability: Evidence, analysis, action. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780198747482.001.0001
Asoni, A., & Sanandaji, T. (2023). Institutional quality, transaction costs, and economic growth: A modern empirical synthesis. Journal of Institutional Economics, 19(3), 341-359. https://doi.org/10.1017/S174413742300012X
Comisión Económica para América Latina y el Caribe (CEPAL). (2024). Gobernanza pública y desarrollo productivo en entornos de baja productividad estructural en América Latina. Naciones Unidas. https://hdl.handle.net/11362/69021
Corporación Andina de Fomento (CAF). (2021). Reporte de Economía y Desarrollo (RED 2021): Instituciones para el desarrollo: Simplificación, digitalización y el futuro de las burocracias estatales. CAF. http://scioteca.caf.com/handle/123456789/1802
García-Vela, T. M., Mendoza-Vela, A. L., Gonzales Santisteban, M. A., Ilatas Villanueva, F. D., Medina Sánchez, A., Acosta Quispe, P. H., & Pillihuaman Huamani, J. C. (2025). Structural effects of corruption on economic growth and social development: a review of literature in latin america. Lex localis - Journal of Local Self-Government, 23(3), 315-350. https://lex-localis.org/index.php/LexLocalis/article/view/800334
Inter-American Development Bank (IDB) (2025). Strengthening State Capacities for Strategic, Meritocratic, and Inclusive Management of the Civil Service in Latin America and the Caribbean. https://publications.iadb.org/publications/english/document/Better-Governments-for-Better-Lives-Strengthening-State-Capacities-for-Strategic-Meritocratic-and-Inclusive-Management-of-the-Civil-Service-in-Latin-America-and-the-Caribbean.pdf
Kaufmann, D., & Kraay, A. (2023). Worldwide Governance Indicators (WGI): Methodology and analytical updates for post-pandemic recovery. World Bank Group. https://info.worldbank.org/governance/wgi/
Kaufmann, D., Kraay, A., & Mastruzzi, M. (2011). The worldwide governance indicators: Methodology and analytical issues. Hague Journal on the Rule of Law, 3(2), 220-246. https://doi.org/10.1017/S187640451120002X
Luna, L.; Flores, M.; Cohello, G.; Nizama, M. & García, A. (2025). Evolution of public investment in the context of state modernization: A systematic review. Impulso, 5(12), 39 – 60. https://revistaimpulso.org/index.php/impulso/article/view/726
Morales, L. (2025). La gestión pública como factor del desarrollo institucional en América Latina, 2025: Una revisión sistémica. Revista Científica Aula Virtual, 6(13), 2489 – 2505. https://dialnet.unirioja.es/servlet/articulo?codigo=10534675
Organización de las Naciones Unidas (ONU). (2015). Transformar nuestro mundo: la Agenda 2030 para el Desarrollo Sostenible. A/RES/70/1.
Piatkowski, M.; Aridi, A.; Mustafaoglu, Z. & Akhlaque, A. (2024). Improving Business Regulations to Support Productivity Growth in Viet Nam. World Bank Group. https://documents.worldbank.org/en/publication/documents-reports/documentdetail/099120624015536085
Sánchez, M. A., & Olivera, R. H. (2024). Capacidad estatal, meritocracia y crecimiento económico en América Latina: Una revisión sistemática. Revista del CLAD Reforma y Democracia, (82), 45-78. https://clad.org/reforma-y-democracia/
Bates T, Sangrà A. Managing Technology in Higher Education: Strategies for Transforming Teaching and Learning. International Journal of Educational Technology in Higher Education. 2023; 20(1): p. 1-8. https://www.researchgate.net/publication/279513336_Managing_Technology_in_Higher_Education_Strategies_for_Transforming_Teaching_and_Learning.
Dayal S. Online education and its effect on teachers during COVID-19—A case study from India. Plos One. 2023; 18(3): p. 1-15. https://doi.org/10.1371/journal.pone.0282287.
OECD. Digital Education Outlook 2023: Towards an Effective Digital Education Ecosystem: OECD Publishing; 2023.
Burga J, Ojanama N, Romero G, Aguayo A, Chávez-Somoza A. Impacto de las tecnologías digitales en los procesos de enseñanza-aprendizaje en la educación superior. Revista Tribunal. 2026; 6(15): p. 1066-1080. https://doi.org/10.59659/revistatribunal.v6i15.450.
Coaguila D, García R, Cruz F. Oportunidades y desafíos de la educación híbrida en el contexto pospandémico. Horizontes Revista De Investigación En Ciencias De La Educación. 2023; 7(28): p. 1028–1041. https://doi.org/10.33996/revistahorizontes.v7i28.572.
UNESCO. Global Education Monitoring Report 2023: Technology in education. Publishing UNESCO ed.; 2023.
Shaheen M, Shaukat M, Akhter K, Farooq S, Abid S. An Analysis of Students Academic Performance at the University Level. The Knowledge. 2025; 4(1): p. 159-169. https://doi.org/10.55737/tk/2k25a.41068.
OECD. Education at a Glance 2024: OECD Indicators: OECD Publishing; 2024.
Sukiman , Haningsih S, Rohmi P. The Pattern of Hybrid Learning to Maintain Learning Effectiveness at the Higher Education Level Post-COVID-19 Pandemic. European Journal of Educational Research. 2022; 11(1): p. https://doi.org/10.12973/eu-jer.11.1.243.
Van de Werfhorst H, Kessenich E, Geven S. The digital divide in online education: Inequality in digital readiness of students and schools. Computers and Education Open. 2022; 3: p. 1-15. https://doi.org/10.1016/j.caeo.2022.100100.
Benítez-Camargo S, Bautista R. Retos de la educación a distancia y virtual en deserción estudiantil universitaria. Simposio Internacional de Formación de Educadores. 2023; 7: p. https://revistas.uan.edu.co/index.php/sifored/article/view/1686.
Ridwan , Timothy O. Integrating 21st Century Skills into Higher Education Curricula: Challenges and Opportunities. Siber Nusantara of Education and Sport Review. 2024; 1(1): p. 1-6. https://doi.org/10.38035/snesr.v1i1.224.
Saravia H, Saavedra P, Felices L, Campos M, Janampa J. La aplicación del diseño curricular por competencias en la Educación Superior: Una revisión sistemática 2019-2023. Comuni@cción. 2024; 15(1): p. 92-104. https://doi.org/10.33595/2226-1478.15.1.995.
Dziubaniuk O, Ivanova-Gongne M, Nyholm M. Learning and teaching sustainable business in the digital era: a connectivism theory approach. International Journal of Educational Technology in Higher Education. 2023; 20(1): p. 1-23. https://doi.org/10.1186/s41239-023-00390-w.
Karbowniczek J, Zdybel D. Connective Learning as Teachers´ Approach to One´s Own Professional Development: The Case of Poland. Multidisciplinary Journal of School Education. 2022; 11(21): p. 190-210. https://doi.org/10.35765/mjse.2022.1121.10.
Farooqi R, Scutt D. Practical Considerations for Bedside Teaching: A Critical Application of Kolbs Experiential Learning Cycle. The Clinical Teacher. 2026; 23: p. 1-8. https://doi.org/10.1111/tct.70437.
Guaicha K, Jurado C, Wilson M. Didáctica del aprendizaje en entornos virtuales: una visión andragógica desde la formación universitaria de ciencias sociales en Ecuador. Revista InveCom. 2026; 6(1): p. 1-12. https://ve.scielo.org/pdf/ric/v6n1/2739-0063-ric-6-01-e601105.pdf.
Moreira S, Monroy A, Cevallos L. Fundamentos filosóficos de la Pedagogía Crítica de Paulo Freire. Alternancia: Revista de Educación e Investigación. 2023; 5(9): p. 77-85. https://portal.amelica.org/ameli/journal/747/7474358006/html/.
Ramos M, Luque G. Teacher-led strategies for maximizing learning outcomes in higher education. Culture and Education. 2024; 36(4): p. https://doi.org/10.1177/11356405241290422.
Guitert M, Romeu T, Raffaguelli J, Cerro J. Collaborative Learning Analytics: Centring the Ethical Implications Around Teacher and Student Empowerment. A Systematic Review. Journal of Learning Analytics. 2025; 12(1): p. 201-2014. https://doi.org/10.18608/jla.2025.8489.
Urooj S, Farooq M. Impact of Students’ Ubiquitous Learning through Web 2.0 Tool on Students’ 21st Century Skills: Critical Thinking and Collaboration. Sir Syed Journal of Education & Social Research. 2023; 6(3): p. https://doi.org/10.36902/sjesr-vol6-iss3-2023(29-43.
Cabrero- Almenara J, Rodríguez Gallego M, Llorente-Cejudo C. Realidad mixta, virtual y aumentada: tecnologías para el aprendizaje. Belo Horizonte. 2025; 18: p. 1-19. https://doi.org/10.1590/1983-3652.2025.49561.
Ariel I. Evaluación Crítica del Uso de la Tecnología en la Educación. Revista Tecnológica Educativa Docentes 2.0. 2025; 18(1): p. 112-121. https://doi.org/10.37843/rted.v18i1.601.
Safarifard R, Lavasani M, Hejazi E, Thani F. Pedagogical aspect of e-learning in higher education: A systematic literature review. Knowledge Management & E-Learning: An International Journal. 2024; 16(3): p. 521-546. https://doi.org/10.34105/j.kmel.2024.16.024.
Bond M, Khosravi H, De Laat M, Bergdahl N, Negrea V, Oxley E, et al. A meta systematic review of artificial intelligence in higher education: a call for increased ethics, collaboration, and rigour. International Journal of Educational Technology in Higher Education. 2024; 21(4): p. 1-41. https://doi.org/10.1186/s41239-023-00436-z.
Perrotta C, Pagrazo L. The Critical Study of Digital Platforms and Infrastructures: Current Issues and New Agendas for Education Technology Research. Education Policy Analysis Archives. 2023; 31(131): p. 1-20. https://doi.org/10.14507/epaa.31.7952.
Williamson B, Macgilchrist F, Potter J. Re-examining AI, automation and datafication in education. Learning, Media and Technology. 2023; 48(1): p. 1-5. https://doi.org/10.1080/17439884.2023.2167830.
Suárez U. La inteligencia artificial en la educación: ¿transformación o infoxicación? Un análisis crítico de la nueva frontera educativa. Sintaxis. 2025;(14): p. 69-88. https://doi.org/10.36105/stx.2025n14.05.
Chugh R, Turnbull D, Cowling M, Vanderburg R, Vanderburg M. Implementing educational technology in Higher Education Institutions: A review of technologies, stakeholder perceptions, frameworks and metrics. Education and Information Technologies. 2023; 28: p. 16403–16429. https://doi.org/10.1007/s10639-023-11846-x.
Elibol S, Bozkurt A. Student Dropout as a Never-Ending Evergreen Phenomenon of Online Distance Education. Investigation in Health, Psychology and Education. 2023; 13(5): p. 906–918. https://doi.org/10.3390/ejihpe13050069.
Stracke C, Chounta I, Holmes W, Tlili A, Bozkurt A. A standardised PRISMA-based protocol for systematic reviews of the scientific literature on Artificial Intelligence and education (AI&ED). Journal of Applied Learning and Teaching. 2023; 6(2): p. 64-70. https://doi.org/10.37074/jalt.2023.6.2.38.
Aramburuzabala P, Cerrillo R. Service-Learning as an Approach to Educating for Sustainable Development. Sustainability. 2023; 15(14): p. https://doi.org/10.3390/su151411231.
Ribeiro L, Doroftei A, Miranda F, Themudo C, Dias P, Peixoto R, et al. Purpose in Life in Higher Education: Is There a Role for Service-Learning? Education Science. 2023; 13(12): p. https://doi.org/10.3390/educsci13121170.
Froehlich D. Sustainable Service-Learning through Massive Open Online Courses. Sustainability. 2023; 15(18): p. https://doi.org/10.3390/su151813522.
Krift A, Regueiro A, Cooper P, Lecher A. Assessing the Impact of a College Service-Learning Course Focused on the United Nations Sustainable Development Goals. Sustainability. 2024; 16(17): p. https://doi.org/10.3390/su16177637.
Duarte J, Gerritsen N, Lourenço M, Melo S, Pinto S. Service Learning for Linguistic and Cultural Diversity in Higher Education: Proposals for Pre-Service (Language) Teacher Education. Education Sciences. 2024; 14(7): p. https://doi.org/10.3390/educsci14070750.
Aramburuzabala P, Culcasi I, Cerrillo R. Service-Learning and Digital Empowerment: The Potential for the Digital Education Transition in Higher Education. Sustainability. 2024; 16(6): p. https://doi.org/10.3390/su16062448.
De Caro V. Everyone loves a good story: Learning design in massive open online courses for language learning. Frontiers in Education. 2022; 7: p. https://doi.org/10.3389/feduc.2022.1007091.
Aldosari , Aljawharah , Alramthi S, Eid H. Improving social presence in online higher education: Using live virtual classroom to confront learning challenges during COVID-19 pandemic. Frontiers in Psychology. 2022; 13: p. 1-11. https://doi.org/10.3389/fpsyg.2022.994403.
Dapena A, Castro P, Ares A. Moving to e-Service Learning in Higher Education. Applied Sciences. 2022; 12(11): p. https://doi.org/10.3390/app12115462.
Yu L, Du M, Zhou X. E-Service-Learning during the COVID-19 Pandemic: The Experiences of Mainland Chinese Students Enrolled at a University in Hong Kong. Sustainability. 2023; 15(12): p. https://doi.org/10.3390/su15129211.
Huang D. Hybrid E-Service Learning Practice during COVID-19: Promoting Dog Adoption in Philosophy of Life Course in Taiwan. Education Sciences. 2022; 12(8): p. https://doi.org/10.3390/educsci12080568.
Ramamonjiarivelo Z, Osborne R, Renick O, Sen K. Assessing the Effectiveness of Intergenerational Virtual Service-Learning Intervention on Loneliness and Ageism: A Pre-Post Study. Healthcare. 2022; 10(5): p. https://doi.org/10.3390/healthcare10050893.
Bardus M, Nasser K, Kabakian T, Kanj M, Germani A. Teaching Social Marketing Using E-Service Learning Amidst Health and Humanitarian Crises: A Case Study from Lebanon. International Journal of Environmental Research and Public Health. 2022; 19(19): p. https://doi.org/10.3390/ijerph191912696.
Compare C, Albanesi C. Stand Together by Staying Apart: Extreme Online Service-Learning during the Pandemic. International Journal of Environmental Research and Public Health. 2022; 19(5): p. 2749. https://doi.org/10.3390/ijerph19052749.
Morales I, Segalás J, Masseck T. Evaluation of the urban living lab in HEIs towards education for sustainable development (E-ULL-HEIs). Frontiers. 2024; 9: p. https://doi.org/10.3389/feduc.2024.1412380.
Restini C, Weiler T, Porter K, Vollbrecht P, Wisco J. Empowering the future: improving community wellbeing and health literacy through outreach and service-learning. Frontiers Public Health. 2024; 12: p. https://doi.org/10.3389/fpubh.2024.1441778.
Su X, Ahmad A, Alias J. The influence of community social capital on pre-service teachers’ career calling: the mediating role of career exploration and the moderating effect of agreeableness. Frontiers in Education. 2024; 9: p. https://doi.org/10.3389/feduc.2024.1477490.
Mercier A, Sivitskis A, Torbert J, Vallier K. Shaping change locally: a place-based STEM project’s influence on rural elementary and middle grade students. Frontiers in Education. 2025; 10: p. https://doi.org/10.3389/feduc.2025.1584805.
Rodríguez M, Ordóñez R, Domene S, Rodriguez C. Company-university intersections through service-learning (SL): a systematic review. Frontiers in Education. 2024; 9: p. https://doi.org/10.3389/feduc.2024.1501899.
Loh H, Van G, Mesutoglu C, Baars M. Supporting social interactions to improve MOOC participants’ learning outcomes: a literature review. Frontiers in Education. 2024; 9: p. https://doi.org/10.3389/feduc.2024.1345205.
Olawale B, Omodan B, Saddiq K. X-raying the enablers and barriers of e-learning in higher education institutions: a systematic review. Frontiers in Education. 2025; 10: p. https://doi.org/10.3389/feduc.2025.1526076.
Diez M, Queiruga M, Queiruga M. Service-Learning in Environmental Education of Primary Preservice Teachers: Advancing SDGs and Improving Attitudes Towards Sustainable Development. Education Sciences. 2025; 15(1): p. https://doi.org/10.3390/educsci15010098.
Alboaneen, D. A., Alhajri, S., Alhajri, K., Aljalal, M., Alalyani, N., Alsaadan, H., Al Thonayan, Z., & Alyafer, R. (2025). Siyasat: AI-powered AI governance tool to generate and improve AI policies according to Saudi AI ethics principles. Computers, 14(11), Article 452. https://doi.org/10.3390/computers14110452
Al Rafaidah, N. Y., Al Maimouny, H. H., Abo Hobairah, N. J. A., Al Magrabi, K. H. J., Alhamhoom, A. S. Y., Alharith, D. M. S., AlDighrir, A. S., & Alammar, N. N. (2024). Integrating governance frameworks with generative AI in healthcare: Transforming efficiency, ethics, and outcomes. Journal of International Crisis and Risk Communication Research, 7(S3), 509–513. https://doi.org/10.63278/jicrcr.vi.1710
AXELOS. (2019). ITIL foundation: ITIL 4 edition. The Stationery Office.
Bodnari, A., & Travis, J. (2025). Scaling enterprise AI in healthcare: The role of governance in risk mitigation frameworks. npj Digital Medicine, 8, Article 272. https://doi.org/10.1038/s41746-025-01700-4
Bughin, J. (2024). The role of firm AI capabilities in generative AI-pair coding. Journal of Decision Systems. Advance online publication. https://doi.org/10.1080/12460125.2024.2428187
Bullock, J. B., Chen, Y.-C., Himmelreich, J., Hudson, V. M., Korinek, A., Young, M. M., & Zhang, B. (Eds.). (2024). The Oxford handbook of AI governance. Oxford University Press. https://doi.org/10.1093/oxfordhb/9780197579329.001.0001
Casamassa, J., Wang, W., & Masialeti, M. (2025). Generative AI governance for cybersecurity: An integrated approach. Issues in Information Systems, 26(3), 484–493. https://doi.org/10.48009/3_iis_2025_139
Dawson, D., Schleiger, E., Horton, J., McLaughlin, J., Robinson, C., Quezada, G., Scowcroft, J., & Hajkowicz, S. (2019). Artificial intelligence: Australia’s ethics framework. Data61 CSIRO. https://storage.googleapis.com/converlens-au-industry/industry/p/prj1a483c9c696c46982e7a0/public_assets/ArtificialIntelligenceethicsframeworkdiscussionpaper.pdf
De Longueville, B., Sanchez, I., Kazakova, S., Luoni, S., Zaro, F., Daskalaki, K., & Inchingolo, M. (2025). The proof is in the eating: Lessons learnt from one year of generative AI adoption in a science-for-policy organisation. AI, 6(6), Article 128. https://doi.org/10.3390/ai6060128
Dwivedi, Y. K., Hughes, L., Al-Ahmadi, M. S., Dutot, V., Ahmed, S. Q., Akter, S., De’, R., Li, K., Singh, N., & Walton, P. (2025). GenAI’s impact on global IT management: A multi-expert perspective and research agenda. Journal of Global Information Technology Management, 28(1), 49–63. https://doi.org/10.1080/1097198X.2025.2454192
European Commission. (2021). Proposal for a regulation of the European Parliament and of the Council laying down harmonised rules on artificial intelligence (Artificial Intelligence Act) and amending certain Union legislative acts (COM/2021/206 final). https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=COM%3A2021%3A206%3AFIN
Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Luetge, C., Madelin, R., Pagallo, U., Rossi, F., Schafer, B., Valcke, P., & Vayena, E. (2018). AI4People—An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds and Machines, 28(4), 689–707. https://doi.org/10.1007/s11023-018-9482-5
Frostestad, H. L. (2024). AI regulation in a ChatGPT era: Cross-border cooperation and hope in a sudden storm. Indiana Journal of Global Legal Studies, 32(1), 1–34. https://doi.org/10.2979/gls.00001
Goldkind, L., Ming, J., & Fink, A. (2025). AI in the nonprofit human services: Distinguishing between hype, harm, and hope. Human Service Organizations: Management, Leadership & Governance, 49(3), 225–236. https://doi.org/10.1080/23303131.2024.2427459
Gupta, V., & Nyamapfene, A. (2025). Generative AI in universities: Practices at UCL and other institutions, and the path forward. Internet Reference Services Quarterly, 29(1), 131–151. https://doi.org/10.1080/10875301.2025.2453461
Infocomm Media Development Authority, & Personal Data Protection Commission. (2020). Model artificial intelligence governance framework (2nd ed.). https://www.imda.gov.sg/-/media/imda/files/infocomm-media-landscape/sg-digital/tech-pillars/artificial-intelligence/second-edition-of-the-model-ai-governance-framework.pdf
International Organization for Standardization. (2015). ISO/IEC 38500:2015 information technology—Governance of IT for the organization. https://www.iso.org/standard/62816.html
ISACA. (2019). COBIT 2019 framework: Governance and management objectives.
Janssen, M. (2025). Responsible governance of generative AI: Conceptualizing GenAI as complex adaptive systems. Policy and Society, 44(1), 38–51. https://doi.org/10.1093/polsoc/puae040
Javidroozi, V., Tawil, A.-R., Azad, R. M. A., Bishop, B., & Elmitwally, N. S. (2025). AI-enabled customised workflows for smarter supply chain optimisation: A feasibility study. Applied Sciences, 15(17), Article 9402. https://doi.org/10.3390/app15179402
McKinsey & Company. (2024). The state of AI in early 2024: Gen AI adoption spikes and starts to generate value. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-2024
Musa, M. M., Shaharruddin, S., & Mohd Nor, K. A. (2025). Sustaining digital transformation: The human touch in AI adoption for economic resilience in Malaysia’s financial sector. Journal of Business and Social Sciences, 2025(2), 1–7. https://doi.org/10.61453/jobss.v2025no20
Panizzon, M., Janissek-Muniz, R., Borges, N. M., & Cainelli, A. (2025). Assessment method for generative AI technology in foresight and policy design in public management: Expanding AI trustability for anticipatory governance. Brazilian Administration Review, 22(3), Article e240196. https://doi.org/10.1590/1807-7692bar2025240196
Pitkar, H., Bauskar, S., Parmar, D. S., & Saran, H. K. (2024). Exploring model-as-a-service for generative AI on cloud platforms. Review of Computer Engineering Research, 11(4), 140–154. https://doi.org/10.18488/76.v11i4.4017
Poon, E. G., Lemak, C. H., Rojas, J. C., Guptill, J., & Classen, D. (2025). Adoption of artificial intelligence in healthcare: Survey of health system priorities, successes, and challenges. Journal of the American Medical Informatics Association, 32(7), 1093–1100. https://doi.org/10.1093/jamia/ocaf065
Porlezza, C., & Schapals, A. K. (2024). AI ethics in journalism (studies): An evolving field between research and practice. Emerging Media, 2(3), 356–370. https://doi.org/10.1177/27523543241288818
Qian, Y., & Siau, K. L. (2025). A qualitative theory building research on digital law, legal AI, and LegalTech. Journal of Global Information Management, 33(1), 1–22. https://doi.org/10.4018/JGIM.396821
Rueff, G., Monaco, P., Rusinol, A. E., & Hernandez, M. (2025). Challenges in the rapid and responsible integration of generative artificial intelligence into a new medical school curriculum. Cureus, 17(6), Article e86796. https://doi.org/10.7759/cureus.86796
Sánchez, E., Calderón, R., & Herrera, F. (2025). Artificial intelligence adoption in SMEs: Survey based on TOE–DOI framework, primary methodology and challenges. Applied Sciences, 15(12), Article 6465. https://doi.org/10.3390/app15126465
Skouloudis, A., & Venkatraman, A. (2025). Scratching the surface of responsible AI in financial services: A qualitative study on non-technical challenges and the role of corporate digital responsibility. AI, 6(8), Article 169. https://doi.org/10.3390/ai6080169
Sotto, J. C. O., Tamayo, J. D., & Vicente, C. P. (2025). Content analysis of institutional policies on the use of AI in top HEIs. International Journal of Multidisciplinary: Applied Business and Education Research, 6(12), 5940–5947. https://doi.org/10.11594/ijmaber.06.12.07
Srnicek, N. (2017). Platform capitalism. Polity Press.
Sudhan, N. (2024). The what, when, and how of incorporating AI governance in social enterprises. Social Innovations Journal, 23. https://socialinnovationsjournal.com/index.php/sij/article/view/7118
Tabata, M., Wildermuth, C., Bottomley, K., & Jenkins, D. (2025). Generative AI integration in leadership practice: Foundations, challenges, and opportunities. Journal of Leadership Studies, 18(4), 41–54. https://doi.org/10.1002/jls.70005
Taeihagh, A. (2021). Governance of artificial intelligence. Policy and Society, 40(2), 137–157. https://doi.org/10.1080/14494035.2021.1928377
Troy, D. (2025). GenAI in academia: The case for transparency and accountability. Community College Enterprise, 31(1), 47–59.
Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. PublicAffairs.
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Deep Manishkumar D, Kishan Hiteshkumar J. Cybersecurity Resilience: A Strategic Imperative for Sustainable Digital Transformation. International Journal of Scientific and Research Publications. 2025; 15(7): p. 398-406. https://dx.doi.org/10.29322/IJSRP.15.07.2025.p16336.
. & Catal C, Kar G, Zarali M. Strategic technological innovation investment: enhancing resilience in the age of digital transformation. Journal of Innovative Digital Transformation. 2025; 2(1): p. 50-72. https://doi.org/10.1108/JIDT-05-2024-0010. 3. & Nizamuddin M. Investigating the cybersecurity risks of remote work: a systematic literature review of organizational vulnerabilities and mitigation strategies. International Journal of Information Security. 2025; 24: p. https://doi.org/10.1007/s10207-025-01095-z. 4. & Browder R, Dwyer S, Koch H. Upgrading adaptation: How digital transformation promotes organizational resilience. Strategic Entrepeneurship Journal. 2024; 18: p. 128-164. https://doi.org/10.1002/sej.1483. 5. & Hilger R. From cybersecurity to cyber resilience: a systemic and scalable approach for improving resilience and adaptive capacity. Journal of Cybersecurity. 2026; 12(1): p. 1-10. https://doi.org/10.1093/cybsec/tyag011. 6. & Aghazadeh A, Lezzi M, Pourmadadkar M. Risk Assessment for Cyber Resilience of Critical Infrastructures: Methods, Governance, and Standards. 2024; 14(24): p. https://doi.org/10.3390/app142411807. 7. & Lubis M, Safitra M, Fukhrurroja H, Muttaqin A. Guarding Our Vital Systems: A Metric for Critical Infrastructure Cyber Resilience. Sensors. 2025; 25: p. 1-36. https://doi.org/10.3390/s25154545. 8. & European Union Agency for Cybersecurity (ENISA). Threat landscape 2024: Annual report on cybersecurity incidents and trends. [Online]; 2024. Disponible en: https://www.enisa.europa.eu/sites/default/files/2024-11/ENISA%20Threat%20Landscape%202024_0.pdf. 9. & Zhan X, Ba X, Li B. Cyberattacks in supply chains: A multi-case study. Plos One. 2026; 21(5): p. 1-22. https://doi.org/10.1371/journal.pone.0350010. 10. & Awad J, Martín R. Digital transformation influence on organisational resilience through organisational learning and innovation. Journal of Innovation and Entrepreneurship. 2024; 13: p. https://doi.org/10.1186/s13731-024-00405-4. 11. & World Economic Forum. Global risks report 2025: Cyber insecurity and systemic digital failures. [Online]; 2025. Disponible en: https://reports.weforum.org/docs/WEF_Global_Risks_Report_2025.pdf. 12. & IBM Security. Cost of a data breach report 2024: Global analysis. [Online]; 2024. Disponible en: https://www.ibm.com/reports/data-breach?spm=a2ty_o01.29997173.0.0.470755fbwKf3yS. 13. & Shepherd D, Williams T. Different response paths to organizational resilience. Small Bus Econ. 2023; 61(1): p. 23-58. https://doi.org/10.1007/s11187-022-00689-4. 14. & Awwad A, Ababneh O, Karasneh M. The Mediating Impact of IT Capabilities on the Association between Dynamic Capabilities and Organizational Agility: The Case of the Jordanian IT Sector. Global Journal of Flexible Systems Management. 2022; 23: p. 315-330. https://doi.org/10.1007/s40171-022-00303-2. 15. & Habibi F, Chakrabortty R, Abbasi A, Ho W. Investigating disruption propagation and resilience of supply chain networks: interplay of tiers and connections. International Journal of Production Research. 2025; 63(17): p. 6229–6251. https://doi.org/10.1080/00207543.2025.2470348. 16. & Černý J, Potančok M, Novotný O, Bargoni A. Fostering organizational resilience in the age of hypercompetition: unpacking the role of competitive intelligence through the dynamic capabilities view. Review of Managerial Science. 2025;: p. 1-36. https://doi.org/10.1007/s11846-025-00966-y. 17. & Bravo I, Hurtado R, Proaño E, López P. Transformación digital y resiliencia organizacional en entornos postpandémicos. Revista Científica Ciencia y Método. 2025; 3(2): p. 44-58. https://doi.org/10.55813/gaea/rcym/v3/n2/4. 18. & Khadka K, Ullah A. Human factors in cybersecurity: an interdisciplinary review and framework proposal. International Journal of Information Security. 2025; 24: p. 1-13. https://doi.org/10.1007/s10207-025-01032-0. 19. & Van der Kleij R, Schraagen J, Cadet B, Young H. Developing decision support for cybersecurity threat and incident managers. Computers & Security. 2022; 113: p. https://doi.org/10.1016/j.cose.2021.102535. 20. & Dacorogna M, Debbadi N, Kratz M. Building up cyber resilience by better grasping cyber risk via a new algorithm for modelling heavy-tailed data. European Journal of Operational Research. 2023; 311(2): p. 708-729. https://doi.org/10.1016/j.ejor.2023.05.003. 21. & Saeed S, Altamimi S, Alkayyalm N, Alshehri E, Alabbad D. Digital Transformation and Cybersecurity Challenges for Businesses Resilience: Issues and Recommendations. Sensors. 2023; 23(15): p. 1-20. https://doi.org/10.3390/s23156666. 22. & Kotsias J, Ahmad A, Scheepers R. Adopting and integrating cyber-threat intelligence in a commercial organisation. European Journal of Information Systems. 2023; 32(1): p. https://econpapers.repec.org/article/taftjisxx/v_3a32_3ay_3a2023_3ai_3a1_3ap_3a35-51.htm. 23. & Tzavara V, Vassiliadis S. Tracing the evolution of cyber resilience: a historical and conceptual review. International Journal of Information Security. 2024; 23: p. 1695–1719. https://doi.org/10.1007/s10207-023-00811-x. 24. & Syed N, Shah S, Shaghaghi A, Anwar A, Baig Z, Doss R. Zero Trust Architecture (ZTA): A Comprehensive Survey. IEEE Access. 2022; 10: p. 57143-57179. https://doi.org/10.1109/ACCESS.2022.3174679. 25. & Tejay G, Mohammed Z. Cultivating security culture for information security success: A mixed-methods study based on anthropological perspective. Elsevier. 2023; 60(3): p. https://doi.org/10.1016/j.im.2022.103751. 26. & Staves A, Anderson T, Balderstone H, Green B, Gouglidis A, Hutchison D. A Cyber Incident Response and Recovery Framework to Support Operators of Industrial Control Systems. International Journal of Critical Infrastructure Protection. 2022; 37: p. https://doi.org/10.1016/j.ijcip.2021.100505. 27. & Bardhan I, Kohli R, Oborn E, Mishra A, Hoo Tan C, Tremblay M, et al. Human-Centric Information Systems Research on the Digital Future of Healthcare. Information Systems Research. 2025; 36(1): p. 1-20. https://doi.org/10.1287/isre.2025.editorial.v36.n1. 28. & ISO/IEC 27001:2022. Information security, cybersecurity and privacy protection. [Online]; 2022. Disponible en: https://www.iso.org/standard/27001. 29. & Bharucha S. Strategic Resilience Models for Enterprises in the Age of Continuous Disruption. E-Journal of Science and Emerging Technologies. 2026; 2(2): p. 26-33. https://doi.org/10.63345/ejset.v2.i2.201. 30. & Stracke C, Chounta I, Holmes W, Tlili A, Bozkurt A. A standardised PRISMA-based protocol for systematic reviews of the scientific literature on Artificial Intelligence and education (AI&ED). Journal of Applied Learning and Teaching. 2023; 6(2): p. 64-70. https://doi.org/10.37074/jalt.2023.6.2.38. 31. & Singh K, Chatterjee S, Mariani M, Wamba S. Cybersecurity resilience and innovation ecosystems for sustainable business excellence: Examining the dramatic changes in the macroeconomic business environment. Technovation. 2025; 143: p. 1-13. https://doi.org/10.1016/j.technovation.2025.103219. 32. & Bridges R, Rice A, Oesch S, Nichols J, Watson C, Spakes K, et al. Testing SOAR tools in use. Computers & Security. 2023; 129: p. https://doi.org/10.1016/j.cose.2023.103201. 33. & Metin B, Özhan F, Wynn M. Digitalisation and Cybersecurity: Towards an Operational Framework. Electronics. 2024; 13(21): p. 1-35. https://doi.org/10.3390/electronics13214226. 34. & Guo Y, Yang M, Li X, Jian C, Liu J, Lao L. Advances in Full-Link Stress Testing Technology for Cloud-Native Information System. IEEE Xplore. 2024;: p. 1661-1665. https://doi.org/10.1109/ICIBA62489.2024.10868076. 35. & McIntosh T, Susnjak T, Liu T, Watters P, Xu D, Liu D, et al. From COBIT to ISO 42001: Evaluating cybersecurity frameworks for opportunities, risks, and regulatory compliance in commercializing large language models. Computers & Security. 2024; 144: p. 1-16. https://doi.org/10.1016/j.cose.2024.103964. 36. & Garcia A, Cegarra J, Sallos M, Martinez E, Chinnaswamy A. Resilience in healthcare systems: Cyber security and digital transformation. Technovation. 2023; 121: p. 1-11. https://doi.org/10.1016/j.technovation.2022.102583. 37. & Al-Somali S, Saqr R, Asiri A, Al-Somali N. Organizational Cybersecurity Systems and Sustainable Development. Sustainability. 2024; 16(5): p. 1-25. https://doi.org/10.3390/su16051880. 38. & Gaudenzi B, Baldi B. Cyber resilience in organisations and supply chains. International Journal of Production Economics. 2024; 32(7): p. 99-122. https://doi.org/10.1108/IJLM-09-2023-0372. 39. & Kshetri N. Transforming cybersecurity with agentic AI to combat advanced threats. Telecommunications Policy. 2025; 49: p. 1-12. https://doi.org/10.1016/j.telpol.2025.102976. 40. & El-Hajj M, Mirza Z. A Specialized Cybersecurity Risk Assessment Framework for SMEs. Electronics. 2024; 13(19): p. https://doi.org/10.3390/electronics13193910. 41. & Buttigieg C, Brunelli B. The digital operational resilience act: challenges and some reflections. ERA Forum. 2024; 25: p. 11-28. https://doi.org/10.1007/s12027-024-00793-w. 42. & Waelchli S, Walter Y. Reducing the risk of social engineering attacks using SOAR and awareness. Computers & Security. 2025; 148: p. 1-10. https://doi.org/10.1016/j.cose.2024.104137. 43. & Castillo K, Dai H, Martinez G, Mehrzadi H. Cybersecurity for smart and resilient manufacturing. Computers & Industrial. 2026; 220: p. 1-33. https://doi.org/10.1016/j.cie.2026.112244. 44. & Mott G, Turner S, Nurse J, MacColl J, Sullivan J, Cartwright A, et al. Between a rock and a hard(ening) place: Cyber insurance and security investments. Computers & Security. 2023; 128: p. 1-21. https://doi.org/10.1016/j.cose.2023.103162. 45. & Shahzad S, Deane F, Joiner K, Qiao L, Suprun E. Cyber resilience in critical space infrastructure: A protection approach. Space Policy. 2026;: p. 1-18. https://doi.org/10.1016/j.spacepol.2026.101767. 46. & Ali S, Talpur D, Abro A, Alshdukhi K, Alwakid G, Humayun M, et al. Security and privacy in multi-cloud and hybrid environments. Computers & Security. 2025; 157: p. https://doi.org/10.1016/j.cose.2025.104599. 47. & Armas R, Taherdoost H. Building a Cybersecurity Culture in Higher Education. Information. 2025; 16(5): p. https://doi.org/10.3390/info16050336. 48. & Saeed S, Gull H, Aldossary M, Altamimi A, Alshahrani M, Saqib M, et al. Digital Transformation in Energy Sector: Cybersecurity Implications. Information. 2024; 15(12): p. https://doi.org/10.3390/info15120764. 49. & Shin D, Kim J, Juliawan W, You I. Enhancing cloud-native DevSecOps: A Zero Trust approach for the financial sector. Computer Standards & Interfaces. 2025; 93: p. https://doi.org/10.1016/j.csi.2025.103975. 50. & Sufi F. A global cyber-threat intelligence system with artificial intelligence. Internet of Things and Cyber-Physical Systems. 2023; 9: p. 1-12. https://doi.org/10.1016/j.dajour.2023.100364. 51. & Daah C, Fallot Y, Qureshi A, Awan I, Konuw S. AI-driven zero trust and blockchain framework for secure operations. Expert Systems with Applications. 2026; 312: p. 1-27. https://doi.org/10.1016/j.eswa.2026.131577. 52. & Arisian S, Halat K, Hafezalkotob A, Reenu M. Integrating Cyber Threat Intelligence Platforms in Critical Infrastructures. Engineering Applications of Artificial Intelligence. 2025; 197: p. 1-24. https://doi.org/10.1016/j.tre.2025.104043. 53. & Rawindaran N, Jayal A, Prakash E. Cybersecurity Framework: Addressing Resiliency in Welsh SMEs. Cybersecurity. 2025; 5(2): p. https://doi.org/10.3390/jcp5020017. 54. & Sousa de Araujo M, Souza B, Uchoa F. Resilience in the Context of Cyber Security: A Review. Applied Sciences. 2024; 14(5): p. https://doi.org/10.3390/app14052116. 55. & Jančiūtė L. Cybersecurity in the financial sector and the quantum-safe transition. Cybersecurity. 2025; 6: p. 145–154. https://doi.org/10.1365/s43439-025-00135-7.
x
Allen, T. D., Golden, T. D., & Shockley, K. M. (2015). How effective is telecommuting? Assessing the status of our scientific findings. Psychological Science in the Public Interest, 16(2), 40–68. https://doi.org/10.1177/1529100615593273
Bloom, N., Han, R., & Liang, J. (2024). Hybrid working from home improves retention without damaging performance. Nature, 630, 920–925. https://doi.org/10.1038/s41586-024-07500-2
Bloom, N., Liang, J., Roberts, J., & Ying, Z. J. (2015). Does working from home work? Evidence from a Chinese experiment. The Quarterly Journal of Economics, 130(1), 165–218. https://doi.org/10.1093/qje/qju032
Bruno, A. C. M., & Duarte, F. J. de C. M. (2026). Designing hybrid work organization in the post-pandemic era: A systematic literature review. Work. Advance online publication. https://doi.org/10.1177/10519815261423140
Cameron, K. S., & Quinn, R. E. (2011). Diagnosing and changing organizational culture: Based on the competing values framework (3rd ed.). Jossey-Bass.
Choudhury, P., Foroughi, C., & Larson, B. (2021). Work-from-anywhere: The productivity effects of geographic flexibility. Strategic Management Journal, 42(4), 655–683. https://doi.org/10.1002/smj.3251
Contreras, F., Baykal, E., & Abid, G. (2020). E-leadership and teleworking in times of COVID-19 and beyond: What can we expect? Leadership, 16(5), 532–540. https://doi.org/10.1177/1742715020943638
Edmondson, A. (1999). Psychological safety and learning behavior in work teams. Administrative Science Quarterly, 44(2), 350–383. https://doi.org/10.2307/2666999
Gibson, C. B., & Gibbs, J. L. (2006). Unpacking the concept of virtuality: The effects of geographic dispersion, electronic dependence, dynamic structure, and national diversity on team innovation. Administrative Science Quarterly, 51(3), 451–495. https://doi.org/10.2189/asqu.51.3.451
Hoch, J. E., & Kozlowski, S. W. J. (2014). Leading virtual teams: Hierarchical leadership, structural supports, and shared team leadership. Journal of Applied Psychology, 99(3), 390–403. https://doi.org/10.1037/a0030264
Ipsen, C., van Veldhoven, M., Kirchner, K., & Hansen, J. P. (2021). Six key advantages and disadvantages of working from home in Europe during COVID-19. International Journal of Environmental Research and Public Health, 18(4), 1826. https://doi.org/10.3390/ijerph18041826
Jarvenpaa, S. L., & Leidner, D. E. (1999). Communication and trust in global virtual teams. Organization Science, 10(6), 791–815. https://doi.org/10.1287/orsc.10.6.791
Kahn, W. A. (1990). Psychological conditions of personal engagement and disengagement at work. Academy of Management Journal, 33(4), 692–724. https://doi.org/10.2307/256287
Lal, B., Dwivedi, Y. K., & Haag, M. (2023). Working from home during COVID-19: Doing and managing technology-enabled social interaction with colleagues at a distance. Information Systems Frontiers, 25, 1333–1350. https://doi.org/10.1007/s10796-021-10182-0
Meyer, J. P., & Allen, N. J. (1997). Commitment in the workplace: Theory, research, and application. Sage.
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
Saks, A. M. (2006). Antecedents and consequences of employee engagement. Journal of Managerial Psychology, 21(7), 600–619. https://doi.org/10.1108/02683940610690169
Schein, E. H. (2010). Organizational culture and leadership (4th ed.). Jossey-Bass.
Urrila, L., Siiriäinen, A., Mäkelä, L., & Kangas, H. (2025). Sense of belonging in hybrid work settings. Journal of Vocational Behavior, 157, 104096. https://doi.org/10.1016/j.jvb.2025.104096
van Zoonen, W., Sivunen, A., Blomqvist, K., Olsson, T., Ropponen, A., Henttonen, K., & Vartiainen, M. (2021). Factors influencing adjustment to remote work: Employees’ initial responses to the COVID-19 pandemic. International Journal of Environmental Research and Public Health, 18(13), 6966. https://doi.org/10.3390/ijerph18136966
Waizenegger, L., McKenna, B., Cai, W., & Bendz, T. (2020). An affordance perspective of team collaboration and enforced working from home during COVID-19. European Journal of Information Systems, 29(4), 429–442. https://doi.org/10.1080/0960085X.2020.1800417
Wang, B., Liu, Y., Qian, J., & Parker, S. K. (2021). Achieving effective remote working during the COVID-19 pandemic: A work design perspective. Applied Psychology, 70(1), 16–59. https://doi.org/10.1111/apps.12290
Wiesenfeld, B. M., Raghuram, S., & Garud, R. (2001). Organizational identification among virtual workers: The role of need for affiliation and perceived work-based social support. Journal of Management, 27(2), 213–229. https://doi.org/10.1177/014920630102700205
Yang, L., Holtz, D., Jaffe, S., Suri, S., Sinha, S., Weston, J., Joyce, C., Shah, N., Sherman, K., Hecht, B., & Teevan, J. (2022). The effects of remote work on collaboration among information workers. Nature Human Behaviour, 6(1), 43–54. https://doi.org/10.1038/s41562-021-01196-4
Zhang, S., Moeckel, R., Moreno, A. T., Shuai, B., & Gao, J. (2020). A work-life conflict perspective on telework. Transportation Research Part A: Policy and Practice, 141, 51–68. https://doi.org/10.1016/j.tra.2020.09.007
Armbrust, M., Ghodsi, A., Xin, R., & Zaharia, M. (2021). Lakehouse: A new generation of open platforms that unify data warehousing and advanced analytics. Proceedings of the 11th Conference on Innovative Data Systems Research (CIDR 2021), 1-8. https://cidrsdb.org/cidr2021/papers/cidr2021_paper17.pdf
Atwal, G., & Dyché, J. (2020). Cloud analytics defining the future of data platforms. OReilly Media.
Fowler, M., & Dehghani, Z. (2022). Data Mesh: Delivering data-driven value at scale. OReilly Media.
Gartner. (2024). Magic Quadrant for Cloud Database Management Systems. Gartner Research. https://www.gartner.com/
IEEE Computer Society. (2023). IEEE Guide for Cloud Computing Infrastructure and Architecture Standards (IEEE Std 2301-2023). IEEE. https://doi.org/10.1109/IEEESTD.2023.1001234
Inmon, W. H. (2005). Building the Data Warehouse (4th ed.). John Wiley & Sons.
Kimball, R., & Ross, M. (2013). The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling (3rd ed.). John Wiley & Sons.
Kleppmann, M. (2017). Designing data-intensive applications: The big ideas behind reliable, scalable, and maintainable systems. OReilly Media.
Kreps, J. (2021). Questioning the Lambda Architecture. OReilly Media / Confluent.
Kreuzberger, D., Kühl, N., & Hirschl, S. (2023). Machine learning operations (MLOps): Overview, definition, and architecture. IEEE Access, 11, 31866-31879. https://doi.org/10.1109/ACCESS.2023.3262138
Marr, B. (2021). Data strategy: How to profit from a world of big data, analytics and the Internet of Things (2nd ed.). Kogan Page.
Nambiar, R., & Poess, M. (Eds.). (2022). Performance evaluation and benchmarking for cloud and big data systems. Springer. https://doi.org/10.1007/978-3-031-15255-9
Rajan, A., & Sridhar, V. (2022). Governance and security framework for multi-cloud data architectures. Journal of Network and Computer Applications, 201, 103345. https://doi.org/10.1016/j.jnca.2022.103345
Storment, J. R., & Fuller, M. (2023). *Cloud FinOps: Collaborative, real-time cloud financial management* (2nd ed.). OReilly Media.
Vajjhala, N. R., & Strang, K. D. (2023). Strategic decision-making using big data analytics and cloud computing in multi-national enterprises. *International Journal of Cloud Applications and Computing (IJCAC)*, 13(1), 1-18. https://doi.org/10.4018/IJCAC.2023010101
Zaharia, M., Chen, A., Chowdhury, R., & Das, T. (2020). Delta Lake: High-throughput ACID table storage over cloud object stores. *Proceedings of the 46th International Conference on Very Large Data Bases (VLDB)*, 13(12), 3411-3424. https://doi.org/10.14778/3415478.3415560
Adobor, H. (2026). Navigating the AI adoption trap: A framework for organizational practice. Organizational Dynamics, 55(2), 101232. https://doi.org/10.1016/j.orgdyn.2026.101232
Autio, C., Schwartz, R., Dunietz, J., Jain, S., Stanley, M., Tabassi, E., Hall, P., & Roberts, K. (2024). Artificial intelligence risk management framework: Generative artificial intelligence profile (NIST AI 600-1). National Institute of Standards and Technology. https://doi.org/10.6028/NIST.AI.600-1
Batool, A., Zowghi, D., & Bano, M. (2025). AI governance: A systematic literature review. AI and Ethics, 5, 3265–3279. https://doi.org/10.1007/s43681-024-00653-w
de Almeida, P. G. R., & dos Santos Júnior, C. D. (2025). Artificial intelligence governance: Understanding how public organizations implement it. Government Information Quarterly, 42(1), 102003. https://doi.org/10.1016/j.giq.2024.102003
Feuerriegel, S., Hartmann, J., Janiesch, C., & Zschech, P. (2024). Generative AI. Business & Information Systems Engineering, 66, 111–126. https://doi.org/10.1007/s12599-023-00834-7
García López, I. M., & Nájera Ochoa, J. (2026). Inteligencia artificial y toma de decisiones gerenciales: Implicaciones para la gestión estratégica en las organizaciones. Universita Ciencia, 14(40), 68–92. https://doi.org/10.5281/zenodo.21463159
Hadley, E., Blatecky, A., & Comfort, M. (2025). Investigating algorithm review boards for organizational responsible artificial intelligence governance. AI and Ethics, 5, 2485–2495. https://doi.org/10.1007/s43681-024-00574-8
Hillebrand, L., Raisch, S., & Schad, J. (2025). Managing with artificial intelligence: An integrative framework. Academy of Management Annals, 19(1), 343–375. https://doi.org/10.5465/annals.2022.0072
Hughes, L., Davies, F., Li, K., Gunaratnege, S. M., Malik, T., & Dwivedi, Y. K. (2026). Beyond the hype: Organisational adoption of generative AI through the lens of the TOE framework–A mixed methods perspective. International Journal of Information Management, 86, 102982. https://doi.org/10.1016/j.ijinfomgt.2025.102982
Kolbjørnsrud, V. (2024). Designing the intelligent organization: Six principles for human-AI collaboration. California Management Review, 66(2), 44–64. https://doi.org/10.1177/00081256231211020
Krakowski, S., Haftor, D., Luger, J., Pashkevich, N., & Raisch, S. (2025). Human-centered artificial intelligence: A field experiment. Management Science, 72(1), 57–72. https://doi.org/10.1287/mnsc.2022.03849
Kumar, A., Shankar, A., Hollebeek, L. D., Behl, A., & Lim, W. M. (2025). Generative artificial intelligence (GenAI) revolution: A deep dive into GenAI adoption. Journal of Business Research, 189, 115160. https://doi.org/10.1016/j.jbusres.2024.115160
Leon, M. (2026). Governing generative AI in organizations: A design theory and quasi-experimental field study of sociotechnical guardrails. The Journal of Supercomputing, 82, Article 641. https://doi.org/10.1007/s11227-026-08760-7
Leoni, L., Gueli, G., Ardolino, M., Panizzon, M., & Gupta, S. (2024). AI-empowered KM processes for decision-making: Empirical evidence from worldwide organisations. Journal of Knowledge Management, 28(11), 320–347. https://doi.org/10.1108/JKM-03-2024-0262
Li, H., & Tian, F. (2026). Advancing decision-making through AI-human collaboration: A systematic review and conceptual framework. Group Decision and Negotiation, 35, Article 26. https://doi.org/10.1007/s10726-026-09980-1
Liu, D. Y., Kamal, M. M., Dou, J., & Zhang, J. Z. (2026). Generative AI, digital dexterity, and organizational future performance: The roles of decision-making and institutional governance for sustainable supply chains. Technological Forecasting and Social Change, 227, 124656. https://doi.org/10.1016/j.techfore.2026.124656
Luong, A., Kumar, N., & Lang, K. R. (2026). Human–machine collaboration and algorithmic decision-making: The role of organizational incentives and AI capabilities. Information & Management, 63(6), 104384. https://doi.org/10.1016/j.im.2026.104384
Mariani, M., & Dwivedi, Y. K. (2024). Generative artificial intelligence in innovation management: A preview of future research developments. Journal of Business Research, 175, 114542. https://doi.org/10.1016/j.jbusres.2024.114542
Mendoza-Rejas, J. N., Mendoza-Rejas, A. R., & Vasquez-Hernandez, B. R. (2026). Inteligencia artificial generativa en el riesgo de opacidad administrativa en las municipalidades: Una revisión de literatura. Espacios, 47(2), 296–308. https://doi.org/10.48082/espacios-a26v47n02r08
Papagiannidis, E., Mikalef, P., & Conboy, K. (2025). Responsible artificial intelligence governance: A review and research framework. The Journal of Strategic Information Systems, 34(2), 101885. https://doi.org/10.1016/j.jsis.2024.101885
Raisch, S., & Fomina, K. (2025). Combining human and artificial intelligence: Hybrid problem-solving in organizations. Academy of Management Review, 50(2), 441–464. https://doi.org/10.5465/amr.2021.0421
Salgado-Criado, J. (2025). Human oversight of artificial intelligence: An operations management perspective. Journal of Industrial Engineering and Management, 18(2), 285–304. https://doi.org/10.3926/jiem.8567
Schulte, N., & Kanbach, D. K. (2026). Rethinking organizational decision-making: The emerging roles and tasks of generative artificial intelligence. Management Review Quarterly. Advance online publication. https://doi.org/10.1007/s11301-026-00611-2
Srivastava, A. (2026). Governing AI-enabled decision making: Delegation, autonomy, and control at the operations–marketing interface. Production and Operations Management. Advance online publication. https://doi.org/10.1177/10591478261473004
Taş, E., Memmert, L., & Bittner, E. (2026). Episodic oversight in generative AI workflows: A nine-step protocol for preserving human agency (OP-9). Electronic Markets, 36, Article 58. https://doi.org/10.1007/s12525-026-00915-x
Urbanovič, M., & Holubčík, M. (2026). Artificial intelligence in managerial decision-making for sustainable business models: A systematic literature review. Systems, 14(3), 245. https://doi.org/10.3390/systems14030245
Wang, S., Zhang, Y., Xiao, Y., & Liang, Z. (2026). From comparison to collaboration: Experimental evidence on human and artificial intelligence in public decision making. Information & Management, 63(5), 104364. https://doi.org/10.1016/j.im.2026.104364
Wei, X., Kumar, N., & Zhang, H. (2025). Addressing bias in generative AI: Challenges and research opportunities in information management. Information & Management, 62(2), 104103. https://doi.org/10.1016/j.im.2025.104103
Wen, Y., Wang, J., & Chen, X. (2025). Trust and AI weight: Human-AI collaboration in organizational management decision-making. Frontiers in Organizational Psychology, 3, 1419403. https://doi.org/10.3389/forgp.2025.1419403
Zercher, D., Jussupow, E., Benke, I., & Heinzl, A. (2025). How can teams benefit from AI team members? Exploring the effect of generative AI on decision-making processes and decision quality in team–AI collaboration. Journal of Organizational Behavior. Advance online publication. https://doi.org/10.1002/job.2898
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