The Impacts of Role Overload and Role Conflict on Physicians’ Technology Adoption
Keywords:Physicians’ technology adoption, multiple roles, role overload, role conflict
Technology adoption is an important solution for physicians to increase work efficiency, and thus deal with role conflict among their multiple job roles. Prior studies have not investigated how multiple job roles and role conflict influence physicians’ technology adoption intentions. Based on role strain theory and role identity theory, we present a model of physicians’ technology adoption intentions to support their primary (clinical care) versus secondary (teaching or research) job roles. We test the model using surveys with 156 physicians at nine medical schools in Korea. The results of our data analysis largely support our hypotheses. Role overload in each of their job roles increases role conflict between any pair of associated roles. Furthermore, role conflict between a physician’s primary and secondary role is affected more by role overload in the secondary role than by overload in the primary role. Moreover, the impact of role conflict on technology adoption intentions is also influenced by the hierarchical relationship between two roles. This study contributes to technology adoption research by demonstrating how physicians’ job characteristics affect technology adoption.
Ahmad, R. W., Salah, K., Jayaraman, R., Yaqoob, I., Ellahham, S., & Omar, M. (2021). The role of blockchain technology in telehealth and telemedicine. International Journal of Medical Informatics, 148, 1-10.
Ahmady, S., Changiz, T., Masiello, I., & Brommels, M. (2007). Organizational role stress among medical school faculty members in Iran: dealing with role conflict. BMC Medical Education, 7(1), 1-10. doi:https://doi.org/10.1186/1472-6920-7-14
Ahuja, M. K. (2002). Women in the information technology profession: A literature review, synthesis and research agenda. European Journal of Information Systems, 11(1), 20-34. doi:https://doi.org/10.1057/palgrave.ejis.3000417
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. doi:https://doi.org/10.1016/0749-5978(91)90020-T
Ansong, E., & Boateng, R. (2018). Organisational adoption of telecommuting: Evidence from a developing country. The Electronic Journal of Information Systems in Developing Countries, 84(1), 1-15.
Aria, R., & Archer, N. (2018). Using an educational video vs. in-person education to measure patient perceptions of an online self-management support system for chronic illness. Computers in Human Behavior, 84, 162-170. doi:https://doi.org/10.1016/j.chb.2018.01.041
Ayyagari, R., Grover, V., & Purvis, R. (2011). Technostress: technological antecedents and implications. MIS Quarterly, 35(4), 831-858. doi:https://doi.org/10.2307/41409963
Barnett, R. C., & Baruch, G. K. (1985). Women's involvement in multiple roles and psychological distress. Journal of Personality and Social Psychology, 49(1), 135-145. doi:https://doi.org/10.1037/0022-35220.127.116.11
Baruch, G. K., & Barnett, R. C. (1986). Role quality, multiple role involvement, and psychological well-being in midlife women. Journal of Personality and Social Psychology, 51(3), 578-585. doi: https://doi.org/10.1037/0022-3518.104.22.1688
Barzansky, B., & Kenagy, G. (2010). The full-time clinical faculty: what goes around, comes around. Academic Medicine, 85(2), 260-265.
Beaton, D. E., Bombardier, C., Guillemin, F., & Ferraz, M. B. (2000). Guidelines for the process of cross-cultural adaptation of self-report measures. Spine, 25(24), 3186-3191.
Beatty, P. C., & Willis, G. B. (2007). Research synthesis: The practice of cognitive interviewing. Public Opinion Quarterly, 71(2), 287-311.
Belias, D., Koustelios, A., Sdrolias, L., & Aspridis, G. (2015). Job satisfaction, role conflict and autonomy of employees in the Greek banking organization. Procedia-Social and Behavioral Sciences, 175, 324-333. doi:https://doi.org/10.1016/j.sbspro.2015.01.1207
Berger, S., & Bruch, H. (2021). Role strain and role accumulation across multiple teams: The moderating role of employees' polychronic orientation. Journal of Organizational Behavior, 42(7), 835-850.
Bhalla, P., Qazi, S., & Miralam, M. S. (2019). Effect of organizational role stress on organizational culture: evidence from service-sector. Journal of Business and Retail Management Research, 13(4), 1-8.
Bolino, M. C., & Turnley, W. H. (2005). The personal costs of citizenship behavior: the relationship between individual initiative and role overload, job stress, and work-family conflict. Journal of Applied Psychology, 90(4), 740-748. doi:https://doi.org/10.1037/0021-9010.90.4.740
Bretschneider, S., & Wittmer, D. (1993). Organizational adoption of microcomputer technology: the role of sector. Information Systems Research, 4(1), 88-108. doi:https://doi.org/10.1287/isre.4.1.88
Bulut, S., Yıldız, A., & Kaya, S. (2019). Evaluation of transition to electronic prescriptions in Turkey: perspective of family physicians. International Journal of Health Policy and Management, 8(1), 40.
Bunton, S. A., Corrice, A. M., Pollart, S. M., Novielli, K. D., Williams, V. N., Morrison, L. A., . . . Fox, S. (2012). Predictors of workplace satisfaction for US medical school faculty in an era of change and challenge. Academic Medicine, 87(5), 574-581. doi:https://doi.org/10.1097/ACM.0b013e31824d2b37
Burke, P. J., & Stets, J. E. (2009). Identity Theory. New York: Oxford University Press.
Callero, P. L. (1992). The meaning of self-in-role: A modified measure of role-identity. Social Forces, 71(2), 485-501. doi:https://doi.org/10.1093/sf/71.2.485
Chau, P. Y., & Hu, P. J. H. (2001). Information technology acceptance by individual professionals: A model comparison approach. Decision Sciences, 32(4), 699-719. doi:https://doi.org/10.1111/j.1540-5915.2001.tb00978.x
Clarke, N., & Higgs, M. (2020). Political skill and role overload as antecedents of innovative work behavior in the public sector. Public Personnel Management, 49(3), 444-469.
Cohen, P., West, S. G., & Aiken, L. S. (2014). Applied Multiple Regression/Correlation Analysis for the behavioral Sciences. New York: Psychology press.
Coser, L. A. (1974). Greedy Institutions; Patterns of Undivided Commitment. New York: Free Press.
Coverman, S. (1989). Role overload, role conflict, and stress: Addressing consequences of multiple role demands. Social Forces, 67(4), 965-982.
Dasgupta, P. (2012). Effect of role ambiguity, conflict and overload in private hospitals’ nurses’ burnout and mediation through self Efficacy. Journal of Health Management, 14(4), 513-534. doi:https://doi.org/10.1177/0972063412468980
Davidson, E. J., & Chismar, W. G. (2007). The interaction of institutionally triggered and technology-triggered social structure change: An investigation of computerized physician order entry. MIS Quarterly, 31(4), 739-758.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of Information Technology. MIS Quarterly, 13(3), 319-340.
Davis, K., Doty, M. M., Shea, K., & Stremikis, K. (2009). Health information technology and physician perceptions of quality of care and satisfaction. Health Policy, 90(2), 239-246. doi:https://doi.org/10.1016/j.healthpol.2008.10.002
Deng, Q., Zheng, Y., Lu, J., Zeng, Z., & Liu, W. (2021). What factors predict physicians' utilization behavior of contrast-enhanced ultrasound? Evidence from the integration of the Theory of Planned Behavior and Technology Acceptance Model using a structural equation modeling approach. BMC Medical Informatics and Decision Making, 21(1), 1-10.
Dünnebeil, S., Sunyaev, A., Blohm, I., Leimeister, J. M., & Krcmar, H. (2012). Determinants of physicians’ technology acceptance for e-health in ambulatory care. International Journal of Medical Informatics, 81(11), 746-760. doi:https://doi.org/10.1016/j.ijmedinf.2012.02.002
Eatough, E. M., Chang, C.-H., Miloslavic, S. A., & Johnson, R. E. (2011). Relationships of role stressors with organizational citizenship behavior: A meta-analysis. Journal of Applied Psychology, 96(3), 619-632. doi:https://doi.org/10.1037/a0021887
Edwards, A. B., Zarit, S. H., Stephens, M. A. P., & Townsend, A. (2002). Employed family caregivers of cognitively impaired elderly: An examination of role strain and depressive symptoms. Aging & Mental Health, 6(1), 55-61.
Ellinas, E. H., Kaljo, K., Patitucci, T. N., Novalija, J., Byars-Winston, A., & Fouad, N. A. (2019). No room to “lean in”: A qualitative study on gendered barriers to promotion and leadership. Journal of Women's Health, 28(3), 393-402.
Engle, R. L., & Prince, M. (2005). The impact of role strain on work and life: A cross-cultural comparison. Insights to a Changing World, 1, 1-13.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. doi:https://doi.org/10.1177/002224378101800104
Goldschmidt, P. G. (2005). HIT and MIS: implications of health information technology and medical information systems. Communications of the ACM, 48(10), 68-74. doi:https://doi.org/10.1145/1089107.1089141
Goode, W. J. (1960). A theory of role strain. American Sociological Review, 25(4), 483-496. doi:https://doi.org/10.2307/2092933
Gruber, M., & MacMillan, I. C. (2017). Entrepreneurial behavior: A reconceptualization and extension based on identity theory. Strategic Entrepreneurship Journal, 11(3), 271-286.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. (2010). Multivariate Data Analysis. Upper Saddle River, NJ: Prentice Hall.
Hall, D. T. (1972). A model of coping with role conflict: The role behavior of college educated women. Administrative Science Quarterly, 17(4), 471-486. doi:https://doi.org/10.2307/2393827
Harrer, S., Shah, P., Antony, B., & Hu, J. (2019). Artificial intelligence for clinical trial design. Trends in Pharmacological Sciences, 40(8), 577-591.
Ho, J. L. Y., Wu, A., & Xu, S. X. (2011). Corporate governance and returns on information technology investment: Evidence from an emerging market. Strategic Management Journal, 32(6), 595-623. https://doi.org/10.1002/smj.886
Hopkins, L., Hampton, B. S., Abbott, J. F., Buery-Joyner, S. D., Craig, L. B., Dalrymple, J. L., . . . Pradham, A. (2018). To the point: medical education, technology, and the millennial learner. American Journal of Obstetrics and Gynecology, 218(2), 188-192.
Hu, P. J., Chau, P. Y., Sheng, O. R. L., & Tam, K. Y. (1999). Examining the technology acceptance model using physician acceptance of telemedicine technology. Journal of Management Information Systems, 16(2), 91-112. doi:https://doi.org/10.1080/07421222.1999.11518247
Im, G., & Straub, D. W. (2015). The critical role of external validity in advancing organizational theorizing. Communications of the Association for Information Systems, 37(44), 911-964. doi:https://doi.org/10.17705/1CAIS.03744
Jayaseelan, R., Prasanth, K., & Pichandy, C. (2020). Technology acceptance by medical doctors in India: an analysis with UTAUT model. International Journal of Scientific & Technology Research, 9(1), 3854-3857.
Jeon, W., & Kim, A. (2017). Present and future of Korean medical education - the role of Yonsei University`s medical education. Yonsei Journal of Medical History, 20(1), 51-68.
Jiang, S., Ma, G., Jia, J., Wu, M., & Wu, Z. (2022). Mobile ICT overuse in the construction industry: Effects on job burnout of project managers. Journal of Construction Engineering and Management, 148(6), 04022024.
Karahanna, E., Straub, D. W., & Chervany, N. L. (1999). Information technology adoption across time: A cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly, 23(2), 183-213. doi:https://doi.org/10.2307/249751
Karimi, R., Omar, Z. B., Alipour, F., & Karimi, Z. (2014). The influence of role overload, role conflict, and role ambiguity on occupational stress among nurses in selected Iranian hospitals. International Journal of Asian Social Science, 4(1), 34-40.
Khalid, J., Weng, Q. D., Luqman, A., Rasheed, M. I., & Hina, M. (2021). After-hours work-related technology use and individuals' deviance: the role of other-initiated versus self-initiated interruptions. Information Technology & People, 35(7), 1955-1979. https://doi.org/10.1108/ITP-03-2020-0136
Kilroy, S., Flood, P. C., Bosak, J., & Chênevert, D. (2016). Perceptions of high‐involvement work practices and burnout: the mediating role of job demands. Human Resource Management Journal, 26(4), 408-424.
Kim, S. H. (2008). Moderating effects of job relevance and experience on mobile wireless technology acceptance: Adoption of a smartphone by individuals. Information & Management, 45(6), 387-393. doi:https://doi.org/10.1016/j.im.2008.05.002
Leidner, D. E., & Kayworth, T. (2006). A review of culture in information systems research: Toward a theory of information technology culture conflict. MIS Quarterly, 30(2), 357-399.
Leidner, D. E., Sutanto, J., & Goutas, L. (2022). Multifarious roles and conflicts on an interorganizational green IS. MIS Quarterly, 46(1), 591-608.
Lenaghan, J. A., & Sengupta, K. (2007). Role conflict, role balance and affect: A model of well-being of the working student. Journal of Behavioral and Applied Management, 9(1), 88-109. doi:https://doi.org/10.1037/t06070-000
Lindell, M. K., & Whitney, D. J. (2001). Accounting for common method variance in cross-sectional research designs. Journal of Applied Psychology, 86(1), 114-121.
Ma, H., Qiao, H., Qu, H., Wang, H., Huang, Y., Cheng, H., . . . Zhang, N. (2020). Role stress, social support and occupational burnout among physicians in China: a path analysis approach. International Health, 12(3), 157-163.
MacKinnon, D. P., Lockwood, C. M., Hoffman, J. M., West, S. G., & Sheets, V. (2002). A comparison of methods to test mediation and other intervening variable effects. Psychological Methods, 7(1), 83-104. doi:https://doi.org/10.1037/1082-989X.7.1.83
Malhotra, N. K., Kim, S. S., & Patil, A. (2006). Common method variance in IS research: A comparison of alternative approaches and a reanalysis of past research. Management Science, 52(12), 1865-1883.
Marks, S. R. (1977). Multiple roles and role strain: Some notes on human energy, time and commitment. American Sociological Review, 42(6), 921-936.
Marks, S. R., & MacDermid, S. M. (1996). Multiple roles and the self: A theory of role balance. Journal of Marriage and Family, 58(2), 417-432. doi:https://doi.org/10.2307/353506
Marshall, N. L., & Barnett, R. C. (1993). Work-family strains and gains among two-earner couples. Journal of Community Psychology, 21(1), 64-78. doi:https://doi.org/10.1002/1520-6629(199301)21:1<64::AID-JCOP2290210108>3.0.CO;2-P
Martikainen, P. (1995). Women's employment, marriage, motherhood and mortality: A test of the multiple role and role accumulation hypotheses. Social Science & Medicine, 40(2), 199-212. doi:https://doi.org/10.1016/0277-9536(94)E0065-Z
Mechanic, D. (2003). Physician discontent - challenges and opportunities. JAMA, 290(7), 941-946. doi:https://doi.org/10.1001/jama.290.7.941
Mittal, M., & Bhakar, S. S. (2018). Examining the impact of role overload on job stress, job satisfaction and job performance-a study among married working women in banking sector. International Journal of Management Studies, 2(7), 1-11.
Moon, M. J., & Bretschneiber, S. (2002). Does the perception of red tape constrain IT innovativeness in organizations? Unexpected results from a simultaneous equation model and implications. Journal of Public Administration Research and Theory, 12(2), 273-292.
Mostaghimi, A., Levison, J. H., Leffert, R., Ham, W., Nathoo, A., Halamka, J., Prout, C., Arky, R. A., Tosteson, D. C., & Quattrochi, J. (2006). The doctor’s new black bag: Instructional technology and the tools of the 21st century physician. Medical Education Online, 11, 1-3. doi:http://nrs.harvard.edu/urn-3:HUL.InstRepos:33785888
O'Brodovich, H., Beyene, J., Tallett, S., MacGregor, D., & Rosenblum, N. D. (2007). Performance of a career development and compensation program at an academic health science center. Pediatrics, 119(4), e791-e797. doi:https://doi.org/10.1542/peds.2006-2207
O’Brodovich, H., Pleinys, R., Laxer, R., Tallett, S., Rosenblum, N., & Sass-Kortsak, C. (2003). Evaluation of a peer-reviewed career development and compensation program for physicians at an academic health science center. Pediatrics, 111(1), e26-e31. doi:https://doi.org/10.1542/peds.111.1.e26
O’Dowd, E., O’Connor, P., Lydon, S., Mongan, O., Connolly, F., Diskin, C., . . . Reid-McDermott, B. (2018). Stress, coping, and psychological resilience among physicians. BMC Health Services Research, 18(1), 1-11.
Owens, T. J., Robinson, D. T., & Smith-Lovin, L. (2010). Three faces of identity. Annual Review of Sociology, 36, 477-499. doi:https://doi.org/10.1146/annurev.soc.34.040507.134725
Ozdemir, S., & Trott, P. (2009). Exploring the adoption of a service innovation: A study of Internet banking adopters and non-adopters. Journal of Financial Services Marketing, 13(4), 284-299. doi:https://doi.org/10.1057/fsm.2008.25
Palacholla, R. S., Fischer, N., Coleman, A., Agboola, S., Kirley, K., Felsted, J., . . . Jethwani, K. (2019). Provider-and patient-related barriers to and facilitators of digital health technology adoption for hypertension management: Scoping review. JMIR Cardio, 3(1), e11951.
Park, Y. H., Im, S., Seo, K. H., Lee, B. I., & Park, C. H. (2012). A Study on the Faculties' Satisfaction of Korean Medical Schools for their Educational, Medical and Research Environment
Improvement. Retrieved from Korean Medical Association:
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903.
Poon, E. G., Blumenthal, D., Jaggi, T., Honour, M. M., Bates, D. W., & Kaushal, R. (2004). Overcoming Barriers To Adopting And Implementing Computerized Physician Order Entry Systems In U.S. Hospitals. Health Affairs, 23(4), 184-190. doi:10.1377/hlthaff.23.4.184
Pullins, E., Tarafdar, M., & Pham, P. (2020). The dark side of sales technologies: how technostress affects sales professionals. Journal of Organizational Effectiveness: People and Performance.
Reay, T., Goodrick, E., Waldorff, S. B., & Casebeer, A. (2017). Getting leopards to change their spots: Co-creating a new professional role identity. Academy of Management Journal, 60(3), 1043-1070.
Román, S., Rodríguez, R., & Jaramillo, J. F. (2018). Are mobile devices a blessing or a curse? Effects of mobile technology use on salesperson role stress and job satisfaction. Journal of Business & Industrial Marketing.
Rorong, E. (2021). Working from home during pandemic Covid-19: Effects of mobile technology use, supervisor support and job insecurity on employee’s role stress and job satisfaction. Jurnal Akuntansi, Manajemen dan Ekonomi, 23(2), 20-33.
Rubel, M. R. B., Kee, D. M. H., & Rimi, N. N. (2017). The mediating role of work–family conflict on role stressors and employee turnover intention relationship in labour-oriented organizations. Global Business Review, 18(6), 1384-1399.
Schaufeli, W. B., Bakker, A. B., Van der Heijden, F. M., & Prins, J. T. (2009). Workaholism, burnout and well-being among junior doctors: The mediating role of role conflict. Work & Stress, 23(2), 155-172. doi:https://doi.org/10.1080/02678370902834021
Seo, K. H., Lim, S. M., Lee, B. I., Park, C. H., & Park, Y. H. (2012). A survey on the education, medical practice, research, and fringe benefits of Korean medical school faculty. Journal of the Korean Medical Association, 55(11), 1128-1141.
Seppänen, M., Pajarre, E., & Kuparinen, P. (2015). The effects of performance-monitoring technology on privacy and job autonomy. International Journal of Business Information Systems, 20(2), 139-156.
Shah, J. M., Jacqueline, B., & Don, K. (2020). Meta-design knowledge for Clinical Decision Support Systems. Australasian Journal of Information Systems, 24(0). doi:https://doi.org/10.3127/ajis.v24i0.2049
Shamsi, M., Iakovleva, T., Olsen, E., & Bagozzi, R. P. (2021). Employees’ WORK-RELATED WELL-BEING during COVID-19 pandemic: An Integrated perspective of technology acceptance model and JD-R theory. International Journal of Environmental Research and Public Health, 18(22), 11888.
Sieber, S. D. (1974). Toward a theory of role accumulation. American Sociological Review, 39(4), 567-578. doi:https://doi.org/10.2307/2094422
Speier, C., & Venkatesh, V. (2002). The hidden minefields in the adoption of sales force automation technologies. Journal of Marketing, 66(3), 98-111. doi:https://doi.org/10.1509/jmkg.22.214.171.12410
Steinert, Y., O’Sullivan, P. S., & Irby, D. M. (2019). Strengthening teachers’ professional identities through faculty development. Academic Medicine, 94(7), 963-968.
Sumra, M. K., & Schillaci, M. A. (2015). Stress and the multiple-role woman: Taking a Closer look at the “Superwoman”. PLoS ONE, 10(3), 1-24.
Svider, P. F., Pashkova, A. A., Choudhry, Z., Agarwal, N., Kovalerchik, O., Baredes, S., . . . Eloy, J. A. (2013). Comparison of scholarly impact among surgical specialties: an examination of 2429 academic surgeons. The Laryngoscope, 123(4), 884-889. doi:https://doi.org/10.1002/lary.23951
Tarafdar, M., Qiang, T. U., Ragu-Nathan, B. S., & Ragu-Nathan, T. S. (2007). The Impact of Technostress on Role Stress and Productivity. Journal of Management Information Systems, 24(1), 301-328. doi:https://doi.org/10.2753/MIS0742-1222240109
Teo, H. H., Wei, K. K., & Benbasat, I. (2003). Predicting Intention to adopt interorganizational linkages: An institutional perspective. MIS Quarterly, 27(1), 19-49.
Thoits, P. A. (1992). Identity structures and psychological well-being: Gender and marital status comparisons. Social Psychology Quarterly, 55(3), 236-256.
Thomas, P. A., Diener-West, M., Canto, M. I., Martin, D. R., Post, W. S., & Streiff, M. B. (2004). Results of an Academic promotion and career path survey of faculty at the Johns Hopkins University School of Medicine. Academic Medicine, 79(3), 258-264.
Thun, S., Halsteinli, V., & Løvseth, L. (2018). A study of unreasonable illegitimate tasks, administrative tasks, and sickness presenteeism amongst Norwegian physicians: an everyday struggle? BMC Health Services Research, 18(1), 1-9.
Touati, N., Rodríguez, C., Paquette, M.-A., Maillet, L., & Denis, J.-L. (2019). Professional role identity: at the heart of medical collaboration across organisational boundaries. International Journal of Integrated Care, 19(2).
Turan, A. H., & Koç, T. (2022). Health information technology adoption and acceptance of Turkish physicians-A model proposal and empirical assessment. Health Informatics Journal, 28(2), 1-23.
Venkatesh, V. (2006). Where to go from here? Thoughts on future directions for research on individual‐level technology adoption with a focus on decision making. Decision Sciences, 37(4), 497-518. doi:https://doi.org/10.1111/j.1540-5414.2006.00136.x
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
Venkatesh, V., Sykes, T., Chan, F. K., Thong, J. Y., & Hu, P. J. (2019). Children's Internet addiction, family-to-work conflict, and job outcomes: a study of parent-child dyads. MIS Quarterly, 43(3), 903-927.
Venkatesh, V., Sykes, T. A., & Zhang, X. (2011). Just what the doctor ordered: a revised UTAUT for EMR system adoption and use by doctors. Paper presented at the Proceedings of the 44th Hawaii International Conference on System Sciences, Honolulu, HI.
Ward, C. R. (1986). The meaning of role strain. Advances in Nursing Science, 8(2), 39-50. doi:https://doi.org/10.1097/00012272-198601000-00008
Ward, J., Gordon, J., Field, M. J., & Lehmann, H. P. (2001). Communication and information technology in medical education. The Lancet, 357(9258), 792-796.
Wiener, M., Mähring, M., Remus, U., & Saunders, C. (2016). Control configuration and control enactment in information systems projects: Review and expanded theoretical framework. MIS Quarterly, 40(3), 741-774.
Yang, S., Qiu, Y., & He, J. (2021). Meta-analysis of the impact of role stress on the turnover intention of medical staff in tertiary hospitals. Annals of Palliative Medicine, 10(1), 469-478.
Zobair, K. M., Louis, S., Luke, H., Kuldeep, S., & Md Jahirul, I. (2021). Health seekers’ acceptance and adoption determinants of telemedicine in emerging economies. Australasian Journal of Information Systems, 25. doi:https://doi.org/10.3127/ajis.v25i0.3071
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