Efek Penolakan Perubahan Terhadap Niat Menggunakan Aplikasi Apotek K24klik
DOI:
https://doi.org/10.47747/jbme.v5i1.1607Keywords:
Intention to use, Resistance to change, Technological anxietyAbstract
This study examines the effect of resistance to change in the digitalization of pharmacy services on the intention to use the K24Klik application. The low intention to use the K24Klik application is caused by resistance to change, which is influenced by technological anxiety, security, and dispositional resistance. Data was obtained through questionnaires distributed to people who had never used the K24Klik application with a total sample size of 189—hypothesis testing using SEM (Structural Equation Modeling) with path analysis method. The results of this study show that security and dispositional resistance affect resistance to change, and technology anxiety has no effect on resistance to change, causing low intention to use the K24Klik application.
References
Alam, M. Z., Hoque, M. R., Hu, W., & Barua, Z. (2020). Factors influencing the adoption of mHealth services in a developing country: A patient-centric study. International Journal of Information Management, 50(April 2019), 128–143. https://doi.org/10.1016/j.ijinfomgt.2019.04.016
Balapour, A., Nikkhah, H. R., & Sabherwal, R. (2020). Mobile application security: Role of perceived privacy as the predictor of security perceptions. International Journal of Information Management, 52(January). https://doi.org/10.1016/j.ijinfomgt.2019.102063
Beldad, A. D., & Hegner, S. M. (2018). Expanding the Technology Acceptance Model with the Inclusion of Trust, Social Influence, and Health Valuation to Determine the Predictors of German Users’ Willingness to Continue using a Fitness App: A Structural Equation Modeling Approach. International Journal of Human-Computer Interaction, 34(9), 882–893. https://doi.org/10.1080/10447318.2017.1403220
Butt, S. A., Anjum, M. W., Hassan, S. A., Garai, A., & Onyema, E. M. (2021). Smart health application for remote tracking of ambulatory patients. Smart Healthcare System Design: Security and Privacy Aspects, June, 33–55. https://doi.org/10.1002/9781119792253.ch2
Calisir, F., Gumussoy, C., Bayraktaroglu, A., & Karaali, D. (2014). Predicting the intention to use a web-based learning system: Human Factors and Ergonomics in Manufacturing & Service Industries, 24(5), 515–531. https://doi.org/10.1002/hfm
Cao, Y., Li, J., Qin, X., & Hu, B. (2020). Examining the effect of overload on the mhealth application resistance behavior of elderly users: An sor perspective. International Journal of Environmental Research and Public Health, 17(18), 1–23. https://doi.org/10.3390/ijerph17186658
Chang, I. C., Lin, P. J., Chen, T. H., & Chang, C. H. (2020). Cultural impact on the intention to use nursing information systems of nurses in Taiwan and China: Survey and analysis. Journal of Medical Internet Research, 22(8), 1–11. https://doi.org/10.2196/18078
Cho, Y., Kim, M., & Choi, M. (2021). Factors associated with nurses’ user resistance to change of electronic health record systems. BMC Medical Informatics and Decision Making, 21(1), 1–12. https://doi.org/10.1186/s12911-021-01581-z
Damghanian, H., Zarei, A., & Siahsarani Kojuri, M. A. (2016). Impact of Perceived Security on Trust, Perceived Risk, and Acceptance of Online Banking in Iran. Journal of Internet Commerce, 15(3), 214–238. https://doi.org/10.1080/15332861.2016.1191052
Eriksson, N., Gökhan, A., & Stenius, M. (2021). A qualitative study of consumer resistance to mobile payments for in-store purchases. Procedia Computer Science, 181(2019), 634–641. https://doi.org/10.1016/j.procs.2021.01.212
Farid, A., Firdausy, A., Sulaiman, A., Simangunsong, D., Sulistyani, F., Varianti, F., Ong, K., Kristiany, L., Mustika, N., Febiani, N., Komalasari, S., Salsabila, S., Azzahra, S., Zulfah, Y., & Aryani, T. (2022). Efektivitas Penggunaan Layanan Telefarmasi di Era Pandemi COVID-19 dari Perspektif Masyarakat. Jurnal Farmasi Komunitas, 9(2), 152–157. https://doi.org/10.20473/jfk.v9i2.32924
Fleron, B., & Pries-Heje, J. (2021). Success and Resistance to Change in IT-Projects: A Case Study of a Large Healthcare IT Project. 12th Systems Scandinavian Conference on Information Systems, 1–15. https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1011&context=scis2021
Guo, X., Sun, Y., Wang, N., Peng, Z., & Yan, Z. (2013). The dark side of elderly acceptance of preventive mobile health services in China. Electronic Markets, 23(1), 49–61. https://doi.org/10.1007/s12525-012-0112-4
Harris, M. A., Brookshire, R., & Chin, A. G. (2016). Identifying factors influencing consumers’ intent to install mobile applications. International Journal of Information Management, 36(3), 441–450. https://doi.org/10.1016/j.ijinfomgt.2016.02.004
Hon, A. H. Y., Bloom, M., & Crant, J. M. (2014). Overcoming Resistance to Change and Enhancing Creative Performance. Journal of Management, 40(3), 919–941. https://doi.org/10.1177/0149206311415418
Jeng, M. Y., Pai, F. Y., & Yeh, T. M. (2022). Antecedents for Older Adults’ Intention to Use Smart Health Wearable Devices-Technology Anxiety as a Moderator. Behavioral Sciences, 12(4). https://doi.org/10.3390/bs12040114
Kamal, S. A., Shafiq, M., & Kakria, P. (2020). Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM). Technology in Society, 60(September 2019), 101212. https://doi.org/10.1016/j.techsoc.2019.101212
Khan, S. T., Raza, S. S., & George, S. (2017). Resistance to Change in Organizations: A Case of General Motors and Nokia. International Journal of Research in Management, 7(1), 16–25. http://indusedu.org
Kumar, A., & Thakur, R. R. (2019). Objectivity in performance ranking of higher education institutions using dynamic data envelopment analysis. International Journal of Productivity and Performance Management, 68(4), 774–796. https://doi.org/10.1108/IJPPM-03-2018-0089
Laumer, S., Maier, C., Eckhardt, A., & Weitzel, T. (2016). User personality and resistance to mandatory information systems in organizations: A theoretical model and empirical test of dispositional resistance to change. Journal of Information Technology, 31(1), 67–82. https://doi.org/10.1057/jit.2015.17
Liang, X., Zhao, J., Shetty, S., Liu, J., & Li, D. (2017). Integrating blockchain for data sharing and collaboration in mobile healthcare applications. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, 2017-Octob(October), 1–5. https://doi.org/10.1109/PIMRC.2017.8292361
Lines, B. C., Sullivan, K. T., Smithwick, J. B., & Mischung, J. (2015). Overcoming resistance to change in engineering and construction: Change management factors for owner organizations. International Journal of Project Management, 33(5), 1170–1179. https://doi.org/10.1016/j.ijproman.2015.01.008
Mani, Z., & Chouk, I. (2018). Consumer Resistance to Innovation in Services: Challenges and Barriers in the Internet of Things Era. Journal of Product Innovation Management, 35(5), 780–807. https://doi.org/10.1111/jpim.12463
Oreg, S. (2018). Resistance to Change and Performance: Toward a More Even-Handed View of Dispositional Resistance. Journal of Applied Behavioral Science, 54(1), 88–107. https://doi.org/10.1177/0021886317741867
Purwanto, E., & Budiman, V. (2020). Applying the technology acceptance model to investigate the intention to use E-health: A conceptual framework. Technology Reports of Kansai University, 62(05), 2569–2580. https://www.researchgate.net/publication/342701335_Applying_the_Technology_Acceptance_Model_to_Investigate_the_Intention_to_Use_E-health_A_Conceptual_Framework%0Ahttps://www.kansaiuniversityreports.com/article/applying-the-technology-acceptance-model-to-i
Setyawan, D., Pea, M. A. N., Noor, F. M., & Budiadi, N. A. (2022). Kepercayaan Sebagai Faktor Penguat Niat Untuk Loyal Pada Toko Online. Jurnal Ilmu Komputer Dan Bisnis, 13(1), 210–220. https://doi.org/10.47927/jikb.v13i1.311
Setyawan, D., Windari, L. D., Noor, F. M., & Kristanto, Y. (2019). Intentions to Online Transactions : An Empirical Study on Go-Med Application. 4464, 32–40. https://doi.org/10.36349/easjebm.2019.v02i01.005
Shahbaz, M., Gao, C., Zhai, L. L., Shahzad, F., & Hu, Y. (2019). Investigating the adoption of big data analytics in healthcare: the moderating role of resistance to change. Journal of Big Data, 6(1). https://doi.org/10.1186/s40537-019-0170-y
Shahbaz, M., Gao, C., Zhai, L., Shahzad, F., & Arshad, M. R. (2020). Moderating Effects of Gender and Resistance to Change on the Adoption of Big Data Analytics in Healthcare. Complexity, 2020. https://doi.org/10.1155/2020/2173765
Shikhy*, D. A. Al, Makhbul, P. Z. M., Rawshdeh, Z. A., Arshad, R., & Anuar, K. (2019). Dispositional Resistance to Change and User Resistance Behaviour to Use Human Resources Information Systems in the Healthcare Sector: The Moderating Role of Conscientiousness. International Journal of Recent Technology and Engineering (IJRTE), 8(4), 565–572. https://doi.org/10.35940/ijrte.d7305.118419
Taherdoost, H. (2018). A review of technology acceptance and adoption models and theories. Procedia Manufacturing, 22, 960–967. https://doi.org/10.1016/j.promfg.2018.03.137
Talukder, M. S., Sorwar, G., Bao, Y., Ahmed, J. U., & Palash, M. A. S. (2020). Predicting antecedents of wearable healthcare technology acceptance by elderly: A combined SEM-Neural Network approach. Technological Forecasting and Social Change, 150. https://doi.org/10.1016/j.techfore.2019.119793
Talwar, S., Talwar, M., Kaur, P., & Dhir, A. (2020). Consumers’ resistance to digital innovations: A systematic review and framework development. Australasian Marketing Journal, 28(4), 286–299. https://doi.org/10.1016/j.ausmj.2020.06.014
Tariq, N., Qamar, A., Asim, M., & Khan, F. A. (2020). Blockchain and smart healthcare security: A survey. Procedia Computer Science, 175(2019), 615–620. https://doi.org/10.1016/j.procs.2020.07.089
Tsai, J. M., Cheng, M. J., Tsai, H. H., Hung, S. W., & Chen, Y. L. (2019). Acceptance and resistance of telehealth: The perspective of dual-factor concepts in technology adoption. International Journal of Information Management, 49(May 2018), 34–44. https://doi.org/10.1016/j.ijinfomgt.2019.03.003
Tsai, T. H., Lin, W. Y., Chang, Y. S., Chang, P. C., & Lee, M. Y. (2020). Technology anxiety and resistance to change behavioral study of a wearable cardiac warming system using an extended TAM for older adults. PLoS ONE, 15(1), 1–24. https://doi.org/10.1371/journal.pone.0227270
Turgut, S., Michel, A., Rothenhöfer, L. M., & Sonntag, K. (2016). Dispositional resistance to change and emotional exhaustion: moderating effects at the work-unit level. European Journal of Work and Organizational Psychology, 25(5), 735–750. https://doi.org/10.1080/1359432X.2016.1157583
Widhiarso, A., & Widayati, A. (2022). Faktor Yang Berhubungan Dengan Intensi Apoteker Dalam Pemanfaatan Media Sosial Dan Internet Untuk Pelayanan Informasi Obat: Studi Pada Apotek Jaringan. Program Studi Magister Farmasi, II(September), 5–6. http://journal.ukrim.ac.id/index.php/jfki/article/view/341/277
Yan, M., Filieri, R., Raguseo, E., & Gorton, M. (2021). Mobile apps for healthy living: Factors influencing continuance intention for health apps. Technological Forecasting and Social Change, 166(June 2020), 120644. https://doi.org/10.1016/j.techfore.2021.120644
Zhou, T. (2014). Examining continuance usage of mobile Internet services from the perspective of resistance to change. Information Development, 30(1), 22–31. https://doi.org/10.1177/0266666912468762
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Ariefah Yulandari, Arif Rizki Satria, Didik Setyawan, Nang Among Budiadi
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright for this article is retained by the author(s), with first publication rights granted to the journal.
This is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/)
![http://creativecommons.org/licenses/by/4.0/](https://journal.jis-institute.org/index.php/jbme/management/settings/<a rel="license" href="http:/creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https:/i.creativecommons.org/l/by/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="http:/creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>.){kind=link}