{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,25]],"date-time":"2026-10-25T17:33:30Z","timestamp":1792949610394,"version":"4.5.0"},"reference-count":80,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T00:00:00Z","timestamp":1792627200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["WORK: A Journal of Prevention, Assessment &amp; Rehabilitation"],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Artificial intelligence (AI) is rapidly reshaping academic work, yet its occupational health implications for academicians remain under-examined. The Job Demands-Resources (JD-R) framework offers a dual lens for understanding AI as both a performance-enhancing resource and a source of job demands, but no systematic review has applied this framework across the full spectrum of academic roles.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This systematic review examines how AI impacts academicians\u2019 performance across four core domains\u2014teaching, research, community engagement, and professional development\u2014using the JD-R framework to understand AI's dual nature as both a resource and a demand.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Following PRISMA guidelines and the five-stage framework of Khan et al.,\n                      <jats:sup>\n                        <jats:xref ref-type=\"bibr\">1<\/jats:xref>\n                      <\/jats:sup>\n                      we systematically searched Scopus and Web of Science databases for empirical studies published between 2021 and 2025. After screening 868 records, 30 peer-reviewed journal articles met the inclusion criteria. A two-phase coding approach (deductive and inductive) was employed, with intercoder reliability (Cohen's Kappa = 0.91) indicating strong agreement. Thematic analysis was guided by the JD-R framework.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Teaching performance dominates the literature (70%), reflecting AI's immediate impact on instructional practices. AI functions as a job resource through enhanced personalized learning, assessment automation, and administrative efficiency when supported by self-efficacy, AI literacy, and institutional resources. However, AI creates significant job demands including academic integrity management, assessment redesign, continuous upskilling, and ethical dilemmas. Professional development (27%) exhibits the most severe demand-resource imbalance, with faculty experiencing skill obsolescence anxiety, technostress, and imposter syndrome. Research performance (20%) shows a relatively balanced profile, while community engagement (7%) remains critically understudied. Identity-threatening demands\u2014academic integrity in teaching, authorship ambiguity in research, and skill obsolescence in professional development\u2014generate disproportionate psychological strain requiring specialized buffers.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>AI's impact on academic work is inherently dualistic, with outcomes determined by the balance between available resources and demand intensity. Psychological resources, particularly self-efficacy, emerge as the most powerful enablers mediating the effectiveness of institutional and knowledge resources. The review extends JD-R theory by identifying identity-threatening demands as a distinct demand category and proposing a Resource Cascade Model wherein distal organizational resources foster proximal psychological resources. Institutions must adopt systemic, autonomy-supportive interventions addressing the full spectrum of AI's impact on academic work.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/10519815261493099","type":"journal-article","created":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T12:29:16Z","timestamp":1792672156000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Dual effects of AI on academic work performance: A job demands-resources theory systematic review"],"prefix":"10.1177","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0228-7714","authenticated-orcid":false,"given":"Sheref Betabo","family":"Gogsido","sequence":"first","affiliation":[{"name":"Department of Management, Werabe University, Werabe, Ethiopia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7108-7882","authenticated-orcid":false,"given":"Matewos Kebede","family":"Refera","sequence":"additional","affiliation":[{"name":"Department of Accounting and Fianance, Werabe University, Werabe,\u00a0Ethiopia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7846-7960","authenticated-orcid":false,"given":"Abdilkerim Seman","family":"Asrar","sequence":"additional","affiliation":[{"name":"Department of Management, Werabe University, Werabe, Ethiopia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-5515-6590","authenticated-orcid":false,"given":"Baqer Khudair","family":"Al-Hadrawi","sequence":"additional","affiliation":[{"name":"Department of Management, Al-Furat AL-Wasat Technical University, Nejaf, Iraq"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,10,22]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1177\/014107680309600304"},{"key":"e_1_3_3_3_2","unstructured":"McKinsey & Company. The state of AI in 2023: Generative AI\u2019s breakout year. 2023 Aug. https:\/\/www.mckinsey.com\/capabilities\/quantumblack\/our-insights\/the-state-of-ai-in-2023-generative-ais-breakout-year"},{"key":"e_1_3_3_4_2","first-page":"123456","article-title":"The rapid evolution of artificial intelligence tools in the global market: trends and implications","volume":"205","author":"Tong Y","year":"2025","unstructured":"Tong Y, Wang L, Zhang J. The rapid evolution of artificial intelligence tools in the global market: trends and implications. Technol Forecast Soc Change 2025; 205: 123456.","journal-title":"Technol Forecast Soc Change"},{"key":"e_1_3_3_5_2","first-page":"1457","article-title":"Artificial intelligence adoption in higher education: a systematic review from the stakeholder perspective","volume":"30","author":"Alkhawaja MI","year":"2025","unstructured":"Alkhawaja MI, Abd Rahman H, Halim MSA. Artificial intelligence adoption in higher education: a systematic review from the stakeholder perspective. Educ Inf Technol 2025; 30: 1457\u20131489.","journal-title":"Educ Inf Technol"},{"key":"e_1_3_3_6_2","first-page":"1","article-title":"Artificial intelligence in human resource management: a systematic review and research agenda","volume":"36","author":"Jooss S","year":"2025","unstructured":"Jooss S, Burbach R, Ruel H. Artificial intelligence in human resource management: a systematic review and research agenda. Int J Hum Resour Manag 2025; 36: 1\u201332.","journal-title":"Int J Hum Resour Manag"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.caeai.2024.100221"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.3390\/su151612451"},{"key":"e_1_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1037\/ocp0000056"},{"key":"e_1_3_3_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbusres.2025.115296"},{"key":"e_1_3_3_11_2","doi-asserted-by":"publisher","DOI":"10.3390\/educsci14101090"},{"key":"e_1_3_3_12_2","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-orgpsych-120920-053933"},{"key":"e_1_3_3_13_2","doi-asserted-by":"publisher","DOI":"10.30935\/cedtech\/17406"},{"key":"e_1_3_3_14_2","first-page":"104789","article-title":"A systematic review of artificial intelligence in teacher education: trends, gaps, and future directions","volume":"145","author":"Tan SC","year":"2025","unstructured":"Tan SC, Lee AVY, Lee M. A systematic review of artificial intelligence in teacher education: trends, gaps, and future directions. Teach Teach Educ 2025; 145: 104789.","journal-title":"Teach Teach Educ"},{"key":"e_1_3_3_15_2","first-page":"45","article-title":"AI-driven job design in higher education institutions: challenges and opportunities for HR managers","volume":"8","author":"Eftimov L","year":"2024","unstructured":"Eftimov L, Kitanovikj B. AI-driven job design in higher education institutions: challenges and opportunities for HR managers. Eur J Hum Resour Manag Stud 2024; 8: 45\u201367.","journal-title":"Eur J Hum Resour Manag Stud"},{"key":"e_1_3_3_16_2","doi-asserted-by":"publisher","DOI":"10.3389\/fpubh.2026.1857108"},{"key":"e_1_3_3_17_2","first-page":"112","article-title":"Culturally responsive AI use in African higher education contexts: opportunities and challenges","volume":"52","author":"Essien ED","year":"2024","unstructured":"Essien ED, Akpan UU, Obot IM. Culturally responsive AI use in African higher education contexts: opportunities and challenges. J Afr Educ 2024; 52: 112\u2013134.","journal-title":"J Afr Educ"},{"key":"e_1_3_3_18_2","doi-asserted-by":"publisher","DOI":"10.3390\/ejihpe14080156"},{"key":"e_1_3_3_19_2","doi-asserted-by":"publisher","DOI":"10.5114\/biolsport.2023.125623"},{"key":"e_1_3_3_20_2","first-page":"345","article-title":"Faculty members\u2019 perceptions of artificial intelligence in higher education: benefits, challenges, and ethical concerns","volume":"39","author":"Shim J","year":"2023","unstructured":"Shim J, Choi H. Faculty members\u2019 perceptions of artificial intelligence in higher education: benefits, challenges, and ethical concerns. Korean J Educ Technol 2023; 39: 345\u2013372.","journal-title":"Korean J Educ Technol"},{"key":"e_1_3_3_21_2","first-page":"456","article-title":"Faculty perceptions of AI-based applications in higher education: benefits, challenges, and ethical considerations","volume":"51","author":"Kumar R.","year":"2023","unstructured":"Kumar R. Faculty perceptions of AI-based applications in higher education: benefits, challenges, and ethical considerations. J Educ Technol Syst 2023; 51: 456\u2013478.","journal-title":"J Educ Technol Syst"},{"key":"e_1_3_3_22_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10956-023-10039-y"},{"key":"e_1_3_3_23_2","first-page":"291","article-title":"Realist review: a theory-driven systematic review of complex interventions under realism philosophy","volume":"30","author":"Zhao JQ.","year":"2020","unstructured":"Zhao JQ. Realist review: a theory-driven systematic review of complex interventions under realism philosophy. Yixue Xinzhi Zazhi 2020; 30: 291\u2013301.","journal-title":"Yixue Xinzhi Zazhi"},{"key":"e_1_3_3_24_2","volume-title":"Scholarship reconsidered: Priorities of the professoriate","author":"Boyer EL.","year":"1990","unstructured":"Boyer EL. Scholarship reconsidered: Priorities of the professoriate. Princeton University Press, 1990."},{"key":"e_1_3_3_25_2","doi-asserted-by":"publisher","DOI":"10.1111\/1467-8551.00375"},{"key":"e_1_3_3_26_2","article-title":"The PRISMA 2020 statement: an updated guideline for reporting systematic reviews","volume":"372","author":"Page MJ","year":"2021","unstructured":"Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Br Med J 2021; 372: n71.","journal-title":"Br Med J"},{"key":"e_1_3_3_27_2","first-page":"1","article-title":"Factors influencing the adoption of artificial intelligence in higher education: a meta-analysis based on the UTAUT model","volume":"30","author":"Cai Q","year":"2025","unstructured":"Cai Q, Lin Y, Yu Z. Factors influencing the adoption of artificial intelligence in higher education: a meta-analysis based on the UTAUT model. Educ Inf Technol 2025; 30: 1\u201328.","journal-title":"Educ Inf Technol"},{"key":"e_1_3_3_28_2","first-page":"123","article-title":"Generative AI in higher education: a bibliometric analysis of emerging research trends","volume":"15","author":"Jorge ML","year":"2025","unstructured":"Jorge ML, Llerena-Aguirre C. Generative AI in higher education: a bibliometric analysis of emerging research trends. Educ Sci 2025; 15: 123.","journal-title":"Educ Sci"},{"key":"e_1_3_3_29_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.caeai.2021.100041"},{"key":"e_1_3_3_30_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbusres.2019.07.039"},{"key":"e_1_3_3_31_2","first-page":"89","article-title":"Artificial intelligence in higher education: a systematic review of faculty perspectives","volume":"17","author":"Sulisworo D","year":"2025","unstructured":"Sulisworo D, Ofluoglu S. Artificial intelligence in higher education: a systematic review of faculty perspectives. J Appl Res High Educ 2025; 17: 89\u2013108.","journal-title":"J Appl Res High Educ"},{"key":"e_1_3_3_32_2","volume-title":"Cochrane handbook for systematic reviews of interventions. Version 6.5","author":"Lefebvre C","year":"2024","unstructured":"Lefebvre C, Glanville J, Briscoe S, et al. Searching for and selecting studies. In: Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, Welch VA (eds) Cochrane handbook for systematic reviews of interventions. Version 6.5. Cochrane, 2024."},{"key":"e_1_3_3_33_2","first-page":"1","article-title":"The impact of generative AI tools on researchers and research: implications for academia in higher education","volume":"60","author":"Al-Zahrani AM.","year":"2023","unstructured":"Al-Zahrani AM. The impact of generative AI tools on researchers and research: implications for academia in higher education. Innov Educ Teach Int 2023; 60: 1\u201312.","journal-title":"Innov Educ Teach Int"},{"key":"e_1_3_3_34_2","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2025.1669247"},{"key":"e_1_3_3_35_2","first-page":"525","volume-title":"Cochrane handbook for systematic reviews of interventions","author":"Noyes J","year":"2018","unstructured":"Noyes J, Booth A, Cargo M, et al. Qualitative evidence. In: Cochrane handbook for systematic reviews of interventions. Cochrane, 2018, pp.525\u2013545."},{"key":"e_1_3_3_36_2","doi-asserted-by":"publisher","DOI":"10.3233\/EFI-180221"},{"key":"e_1_3_3_37_2","first-page":"1","article-title":"Exploring issues in the conduct of website searching and other online sources for systematic reviews: how can we be systematic?","volume":"11","author":"Stansfield C","year":"2022","unstructured":"Stansfield C, Dickson K, Bangpan M. Exploring issues in the conduct of website searching and other online sources for systematic reviews: how can we be systematic? Syst Rev 2022; 11: 1\u20139.","journal-title":"Syst Rev"},{"key":"e_1_3_3_38_2","first-page":"320","article-title":"Qualitative research synthesis: methodological guidance for systematic reviewers utilizing meta-aggregation","volume":"18","author":"Lockwood C","year":"2020","unstructured":"Lockwood C, Munn Z, Porritt K. Qualitative research synthesis: methodological guidance for systematic reviewers utilizing meta-aggregation. JBI Evid Implement 2020; 18: 320\u2013329.","journal-title":"JBI Evid Implement"},{"key":"e_1_3_3_39_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.sapharm.2012.04.004"},{"key":"e_1_3_3_40_2","unstructured":"HACITA Framework. Human-AI collaborative inductive thematic analysis: AI guided analysis and human interpretive authority. arXiv:2601.11850. 2026."},{"key":"e_1_3_3_41_2","first-page":"4582","article-title":"A foundation model for human-AI collaboration in medical literature mining","volume":"16","author":"Tang L","year":"2025","unstructured":"Tang L, Wang J, Zhang Y, et al. A foundation model for human-AI collaboration in medical literature mining. Nat Commun 2025; 16: 4582.","journal-title":"Nat Commun"},{"key":"e_1_3_3_42_2","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2022.1022102"},{"key":"e_1_3_3_43_2","first-page":"160940692412345","article-title":"Guidance on conducting qualitative evidence synthesis: an updated framework","volume":"23","author":"Xiao Y","year":"2024","unstructured":"Xiao Y, Watson M. Guidance on conducting qualitative evidence synthesis: an updated framework. Int J Qual Methods 2024; 23: 16094069241234567.","journal-title":"Int J Qual Methods"},{"key":"e_1_3_3_44_2","doi-asserted-by":"publisher","DOI":"10.3390\/soc13050118"},{"key":"e_1_3_3_45_2","doi-asserted-by":"publisher","DOI":"10.3389\/feduc.2024.1501819"},{"key":"e_1_3_3_46_2","doi-asserted-by":"publisher","DOI":"10.1186\/s41239-021-00292-9"},{"key":"e_1_3_3_47_2","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2024.1468900"},{"key":"e_1_3_3_48_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.chb.2022.107468"},{"key":"e_1_3_3_49_2","volume-title":"Self-efficacy: The exercise of control","author":"Bandura A.","year":"1997","unstructured":"Bandura A. Self-efficacy: The exercise of control. W. H. Freeman, 1997."},{"key":"e_1_3_3_50_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.pubrev.2026.102742"},{"key":"e_1_3_3_51_2","doi-asserted-by":"publisher","DOI":"10.1177\/21582440241290013"},{"key":"e_1_3_3_52_2","first-page":"45","article-title":"Exploring the factors influencing the adoption of artificial intelligence technology by university teachers","volume":"13","author":"Liu X.","year":"2025","unstructured":"Liu X. Exploring the factors influencing the adoption of artificial intelligence technology by university teachers. BMC Psychol 2025; 13: 45.","journal-title":"BMC Psychol"},{"key":"e_1_3_3_53_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.caeai.2024.100337"},{"key":"e_1_3_3_54_2","first-page":"100234","article-title":"Social influence, educational self-efficacy and academic integrity considerations as predictors of academics\u2019 adoption of AI models in research contexts","volume":"8","author":"Acosta-Enriquez BG","year":"2025","unstructured":"Acosta-Enriquez BG, Arbul Ballesteros MA, Huaman Jordan O, et al. Social influence, educational self-efficacy and academic integrity considerations as predictors of academics\u2019 adoption of AI models in research contexts. Comput Educ Artif Intell 2025; 8: 100234.","journal-title":"Comput Educ Artif Intell"},{"key":"e_1_3_3_55_2","first-page":"4567","article-title":"AI And the future of teaching: perceptions of university educators","volume":"28","author":"Alam A","year":"2023","unstructured":"Alam A, Mohanty A. AI And the future of teaching: perceptions of university educators. Educ Inf Technol 2023; 28: 4567\u20134589.","journal-title":"Educ Inf Technol"},{"key":"e_1_3_3_56_2","doi-asserted-by":"publisher","DOI":"10.1080\/10447318.2022.2049145"},{"key":"e_1_3_3_57_2","doi-asserted-by":"publisher","DOI":"10.3390\/su16167216"},{"key":"e_1_3_3_58_2","article-title":"Faculty performance in the age of generative AI: The role of organizational support systems and task-technology fit in higher education","volume":"2","author":"Aliazas JV","year":"2025","unstructured":"Aliazas JV, Cruz RD, Panoy JF, et al. Faculty performance in the age of generative AI: The role of organizational support systems and task-technology fit in higher education. Adv Consum Res 2025; 2.","journal-title":"Adv Consum Res"},{"key":"e_1_3_3_59_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10639-025-13393-z"},{"key":"e_1_3_3_60_2","doi-asserted-by":"publisher","DOI":"10.3389\/feduc.2025.1632742"},{"key":"e_1_3_3_61_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.caeai.2022.100076"},{"key":"e_1_3_3_62_2","doi-asserted-by":"publisher","DOI":"10.4018\/IJWLTT.376489"},{"key":"e_1_3_3_63_2","doi-asserted-by":"publisher","DOI":"10.1521\/978.14625\/28806"},{"key":"e_1_3_3_64_2","first-page":"45","article-title":"What ChatGPT means for universities: perceptions of scholars and students","volume":"6","author":"Firat M.","year":"2023","unstructured":"Firat M. What ChatGPT means for universities: perceptions of scholars and students. J Appl Learn Teach 2023; 6: 45\u201356.","journal-title":"J Appl Learn Teach"},{"key":"e_1_3_3_65_2","first-page":"123","article-title":"AI In higher education: ethical considerations","volume":"45","author":"McGrath C","year":"2023","unstructured":"McGrath C, Bhargava R, Bhaumik A. AI In higher education: ethical considerations. J High Educ Policy Manag 2023; 45: 123\u2013145.","journal-title":"J High Educ Policy Manag"},{"key":"e_1_3_3_66_2","first-page":"102876","article-title":"Generative AI tools in academic research: applications, benefits, and challenges","volume":"50","author":"Tamanna M","year":"2024","unstructured":"Tamanna M, Singh P. Generative AI tools in academic research: applications, benefits, and challenges. J Acad Librariansh 2024; 50: 102876.","journal-title":"J Acad Librariansh"},{"key":"e_1_3_3_67_2","first-page":"1678","article-title":"Generative AI in academic research: opportunities and threats","volume":"38","author":"Yaroshenko O","year":"2023","unstructured":"Yaroshenko O, Iaroshenko O. Generative AI in academic research: opportunities and threats. Digit Scholarsh Humanit 2023; 38: 1678\u20131692.","journal-title":"Digit Scholarsh Humanit"},{"key":"e_1_3_3_68_2","doi-asserted-by":"publisher","DOI":"10.1057\/s41599-024-03432-4"},{"key":"e_1_3_3_69_2","first-page":"100189","article-title":"AI Literacy in higher education: a systematic review","volume":"6","author":"Kong SC","year":"2024","unstructured":"Kong SC, Cheung WM, Zhang G. AI Literacy in higher education: a systematic review. Comput Educ Artif Intell 2024; 6: 100189.","journal-title":"Comput Educ Artif Intell"},{"key":"e_1_3_3_70_2","first-page":"15","article-title":"Academic integrity in the age of AI: challenges and strategies for higher education","volume":"19","author":"Tamanna M","year":"2023","unstructured":"Tamanna M, Sinha S, Kumar A. Academic integrity in the age of AI: challenges and strategies for higher education. Int J Educ Integr 2023; 19: 15.","journal-title":"Int J Educ Integr"},{"key":"e_1_3_3_71_2","first-page":"100089","article-title":"Generative artificial intelligence in higher education: evidence from an analysis of institutional policies and guidelines","volume":"3","author":"McDonald N","year":"2025","unstructured":"McDonald N, Johri A, Ali A, et al. Generative artificial intelligence in higher education: evidence from an analysis of institutional policies and guidelines. Comput Human Behav Artif Humans 2025; 3: 100089.","journal-title":"Comput Human Behav Artif Humans"},{"key":"e_1_3_3_72_2","first-page":"45","article-title":"Building trust with communities through culturally responsive AI applications in higher education outreach","volume":"17","author":"Al-Zahrani AM.","year":"2024","unstructured":"Al-Zahrani AM. Building trust with communities through culturally responsive AI applications in higher education outreach. J Community Engagem Scholarsh 2024; 17: 45\u201362.","journal-title":"J Community Engagem Scholarsh"},{"key":"e_1_3_3_73_2","doi-asserted-by":"publisher","DOI":"10.18844\/wjet.v16i3.9311"},{"key":"e_1_3_3_74_2","first-page":"1","article-title":"Rethinking job demands-resources-based interventions for evolving work environments: a problematizing review","volume":"1","author":"Yavuz Serekman M","year":"2026","unstructured":"Yavuz Serekman M, Ayaz I, Vural \u00d6zkan G, et al. Rethinking job demands-resources-based interventions for evolving work environments: a problematizing review. J Organ Eff People Perform 2026; 1\u20132: 1.","journal-title":"J Organ Eff People Perform"},{"key":"e_1_3_3_75_2","doi-asserted-by":"publisher","DOI":"10.1080\/02678373.2017.1304463"},{"key":"e_1_3_3_76_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-007-5640-3_4"},{"key":"e_1_3_3_77_2","first-page":"306","article-title":"Effects of technostress on the productivity of workers in ICT company: an observational study","volume":"59","author":"La Torre G","year":"2024","unstructured":"La Torre G, Shaholli D, Manai MV, et al. Effects of technostress on the productivity of workers in ICT company: an observational study. Riv Psichiatr 2024; 59: 306\u2013315.","journal-title":"Riv Psichiatr"},{"key":"e_1_3_3_78_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12998-016-0113-z"},{"key":"e_1_3_3_79_2","doi-asserted-by":"publisher","DOI":"10.30658\/hmc.7.4"},{"key":"e_1_3_3_80_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2024.e32942"},{"key":"e_1_3_3_81_2","first-page":"117","article-title":"The effect of sustainable human resource management on the sustainable competitive advantage in the University of Gondar: serial mediation role of organizational justice and wellbeing","volume":"1","author":"Gogsido S","year":"2024","unstructured":"Gogsido S, Alemu Z, Getahun D, et al. The effect of sustainable human resource management on the sustainable competitive advantage in the University of Gondar: serial mediation role of organizational justice and wellbeing. Am J Bus Sci Philos 2024; 1: 117\u2013144.","journal-title":"Am J Bus Sci Philos"}],"container-title":["WORK: A Journal of Prevention, Assessment &amp; Rehabilitation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/10519815261493099","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/10519815261493099","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/10519815261493099","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,25]],"date-time":"2026-10-25T16:48:08Z","timestamp":1792946888000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/10519815261493099"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10,22]]},"references-count":80,"alternative-id":["10.1177\/10519815261493099"],"URL":"https:\/\/doi.org\/10.1177\/10519815261493099","relation":{},"ISSN":["1051-9815","1875-9270"],"issn-type":[{"value":"1051-9815","type":"print"},{"value":"1875-9270","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,10,22]]},"article-number":"10519815261493099"}}