Exploring the Role of Self-leadership in Nurses' Technology Acceptance in the Digital Era
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Abstract
Introduction: Information system in hospital is a crucial key factor for high performance to support efficacy and efficiency. Nurses play important role in patient care as they do most tasks in medical and management aspect. Researches in technology acceptance has revealed some factors that contribute to the usage of information system. Self-leadership as a process to achieve self-direction is necessary to have good performance in modern days. Research of the correlation these two factors is limited. Thus, this research aimed to analyze correlation between self-leadership and technology acceptance in nurses. Materials and methods: A questionnaire (RSLQ) to measure self-leadership variables and technology acceptance (UTAUT) variables was given to clinical nurses of nursing department. Simple random sampling brought out sample size of 104-validated questionnaires from 149 population. Data analysis had been done for descriptive values and non-parametric test for correlation coefficient of each variable and sub-variables. Results: Respondents are mostly female (76.9%) with dominant age group 20 – 29 years old (41.3%). The highest score of self-leadership variable is self-goal setting (3.20 ± 0.422) and technology acceptance variable is social influences (3.22 ± 0.460). The result shows significant correlation between self-leadership and technology acceptance (p<0.05) and all its three sub-variables (p<0.05). Conclusion: Self-leadership is correlated to technology acceptance and its sub-variables. Increasing self-leadership could improve technology acceptance among nurses. Low technology acceptance of nurse could be caused by still developing information system at hospital and other factors.
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Park HJ, Kim SK, Yu S. Validity and Reliability of the Korean Version of the Self-Leadership Questionnaire for Nursing Students. Sage Open. 2024 Jan 1;14(1).
Nientied P, Toska M. SELF-LEADERSHIP AND EMPOWERING LEADERSHIP IN A WESTERN BALKAN CONTEXT. International Review of Management and Marketing. 2021 Jan 18;11(1):36–47.
Nygren JM, Lundgren L, Bäckström I, Svedberg P. Strengthening Digital Transformation and Innovation in the Health Care System: Protocol for the Design and Implementation of a Multidisciplinary National Health Innovation Research School. JMIR Res Protoc. 2023;12.
Iljashenko O, Bagaeva I, Levina A. Strategy for establishment of personnel KPI at health care organization digital transformation. In: IOP Conference Series: Materials Science and Engineering. Institute of Physics Publishing; 2019.
Kebede M, Adeba E, Adeba E, Chego M. Evaluation of quality and use of health management information system in primary health care units of east Wollega zone, Oromia regional state, Ethiopia. BMC Med Inform Decis Mak. 2020 Jun 12;20(1).
Ologeanu-Taddei R, Morquin D, Domingo H, Bourret R. Understanding the acceptance factors of an Hospital Information System: evidence from a French University Hospital. AMIA Annual Symposium Proceedings [Internet]. 2015 Nov [cited 2024 Feb 26];2015:1001–7. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4765578/
Holden RJ, Karsh BT. The Technology Acceptance Model: Its past and its future in health care. Vol. 43, Journal of Biomedical Informatics. 2010. p. 159–72.
Alqudah AA, Al-Emran M, Shaalan K. Technology acceptance in healthcare: A systematic review. Vol. 11, Applied Sciences (Switzerland). MDPI; 2021.
Chau PY, Jen-Hwa Hu P. Investigating healthcare professionals’ decisions to accept telemedicine technology: an empirical test of competing theories. Information and Management. 2001 Apr;39(2002):297–311.
Latip MSA, Noh I, Tamrin M, Latip SNNA. Students’ Acceptance for e-Learning and the Effects of Self-Efficacy in Malaysia. International Journal of Academic Research in Business and Social Sciences. 2020 May 27;10(5).
Taherdoost H. A review of technology acceptance and adoption models and theories. In: Procedia Manufacturing. Elsevier B.V.; 2018. p. 960–7.
Taherdoost H. A review of technology acceptance and adoption models and theories. In: Procedia Manufacturing. Elsevier B.V.; 2018. p. 960–7.
Alqudah AA, Al-Emran M, Shaalan K. Technology acceptance in healthcare: A systematic review. Vol. 11, Applied Sciences (Switzerland). MDPI; 2021.
Venkatesh V, Davis FD. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Manage Sci. 2000;46(2):186–204.
Latip MSA, Noh I, Tamrin M, Latip SNNA. Students’ Acceptance for e-Learning and the Effects of Self-Efficacy in Malaysia. International Journal of Academic Research in Business and Social Sciences. 2020 May 27;10(5).
Holden RJ, Karsh BT. The Technology Acceptance Model: Its past and its future in health care. Vol. 43, Journal of Biomedical Informatics. 2010. p. 159–72.
Rahimi B, Nadri H, Afshar HL, Timpka T. A systematic review of the technology acceptance model in health informatics. Vol. 9, Applied Clinical Informatics. Georg Thieme Verlag; 2018. p. 604–34.
Goldsby E, Goldsby M, Neck CB, Neck CP. Under pressure: Time management, self-leadership, and the nurse manager. Adm Sci. 2020 Sep 1;10(3).
Houghton JD, Dawley D, DiLiello TC. The Abbreviated Self-Leadership Questionnaire (ASLQ): A More Concise Measure of Self-
Houghton JD, Neck CP. The revised self-leadership questionnaire:Testing a hierarchical factor structure for self-leadership. Journal of Managerial Psychology. 2002 Dec 1;17(8):672–91.
Harari MB, Williams EA, Castro SL, Brant KK. Self-leadership: A meta-analysis of over two decades of research. J Occup Organ Psychol. 2021 Dec 1;94(4):890–923.
Prinsloo C, Jooste K. Self-leadership of nurses in a critical care outreach service: The development of a conceptual framework. Health SA Gesondheid. 2022;27.
Goldsby MG, Goldsby EA, Neck CB, Neck CP, Mathews R. Self-leadership: A four decade review of the literature and trainings. Adm Sci. 2021;11(1).
Houghton JD, Neck CP. The revised self-leadership questionnaire:Testing a hierarchical factor structure for self-leadership. Journal of Managerial Psychology. 2002 Dec 1;17(8):672–91.
Nugroho HSW, Notobroto HB, Rosyanti L. Acceptance model of a mandatory health information system in Indonesia. Healthc Inform Res. 2021;27(2):127–36.
Legris P, Ingham J, Collerette P. Why do people use information technology? A critical review of the technology acceptance model. Information and Management. 2003 Jun 19;40(2003):191–204.
Kamal SA, Shafiq M, Kakria P. Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM). Technol Soc. 2020 Feb 1;60.
Strudwick G. Predicting Nurses’ Use of Healthcare Technology Using the Technology Acceptance Model: An Integrative Review. CIN - Computers Informatics Nursing. 2015 May 1;33(5):189–98.
Kim S, Lee KH, Hwang H, Yoo S. Analysis of the factors influencing healthcare professionals’ adoption of mobile electronic medical record (EMR) using the unified theory of acceptance and use of technology (UTAUT) in a tertiary hospital. BMC Med Inform Decis Mak. 2015 Dec;16(1).
Idoga PE, Toycan M, Nadiri H, Çelebi E. Factors Affecting the Successful Adoption of e-Health Cloud Based Health System from Healthcare Consumers’ Perspective. IEEE Access. 2018;6:71216–28.
Kalayou MH, Endehabtu BF, Tilahun B. The applicability of the modified technology acceptance model (Tam) on the sustainable adoption of ehealth systems in resource-limited settings. J Multidiscip Healthc. 2020;13:1827–37.
Ibrahim S, Donelle L, Sidani S, Regan S. Factors influencing Registered Nurses’ intention to use Health Information Technology in clinical practice: An integrative literature review cjni.net/journal. Canadian Journal of Nursing Informatics [Internet]. 2019 Apr [cited 2024 Feb 26];14(1–2). Available from: https://cjni.net/journal/?p=5981
Yosiana Y, Hermawati A, Mas’ud MH. The Analysis of Workload and Work Environment on Nurse Performance with Job Stress as Mediation Variable. Journal of Socioeconomics and Development. 2020 May 12;3(1):37.
Cho H, Steege LM. Nurse Fatigue and Nurse, Patient Safety, and Organizational Outcomes: A Systematic Review. Vol. 43, Western Journal of Nursing Research. SAGE Publications Inc.; 2021. p. 1157–68.
Daba L, Beza L, Kefyalew M, Teshager T, Wondimneh F, Bidiru A, et al. Job performance and associated factors among nurses working in adult emergency departments at selected public hospitals in Ethiopia: a facility-based cross-sectional study. BMC Nurs. 2024 Dec 1;23(1).
Brown J, Pope N, Bosco AM, Mason J, Morgan A. Issues affecting nurses’ capability to use digital technology at work: An integrative review. J Clin Nurs. 2020 Aug 1;1–19.
van Dorssen-Boog P, de Jong J, Veld M, Van Vuuren T. Self-Leadership Among Healthcare Workers: A Mediator for the Effects of Job Autonomy on Work Engagement and Health. Front Psychol. 2020 Jul 16;11.
Asurakkody TA, Kim SH. Effects of knowledge sharing behavior on innovative work behavior among nursing Students: Mediating role of Self- leadership. Int J Afr Nurs Sci. 2020 Jan 1;12.
Abid G, Arya B, Arshad A, Ahmed S, Farooqi S. Positive personality traits and self-leadership in sustainable organizations: Mediating influence of thriving and moderating role of proactive personality. Sustain Prod Consum. 2021 Jan 1;25:299–311.
Manz CC. Improving Performance through Self-Leadership. National Productivity Review [Internet]. 1983 [cited 2024 Feb 26];2(3):288–97. Available from: https://onlinelibrary.wiley.com/doi/abs/10.1002/npr.4040020308
Prinsloo C, Jooste K. Self-leadership of nurses in a critical care outreach service: The development of a conceptual framework. Health SA Gesondheid. 2022;27.
Sjöblom K, Juutinen S, Mäkikangas A. The Importance of Self-Leadership Strategies and Psychological Safety for Well-Being in the Context of Enforced Remote Work. Challenges. 2022 Apr 4;13(1):14.
Manz CC. Self-Leadership: Toward an Expanded Theory of Self-Influence Processes in Organizations. Vol. 11, Goldfried & Merbaum. Mills; 1986.
Furtner MR, Sachse P, Exenberger S. Learn to influence yourself: Full range self-leadership training. Journal of the Indian Academy of Applied Psychology. 2012;2:299–309.
Brown J, Pope N, Bosco AM, Mason J, Morgan A. Issues affecting nurses’ capability to use digital technology at work: An integrative review. J Clin Nurs. 2020 Aug 1;1–19.
Taherdoost H. Importance of Technology Acceptance Assessment for Successful Implementation and Development of New Technologies. Global Journal of Engineering Sciences. 2019 Jan 8;1(3).