Penerimaan Teknologi “Lapak Asik” BPJS Ketenagakerjaan: Studi Kasus Banda Aceh

Nurhayati Nurhayati, Rusdi Rusdi

Abstract


Penelitian sebelumnya telah memberikan wawasan berharga tentang bagaimana dan mengapa karyawan membuat keputusan tentang adopsi dan penggunaan teknologi informasi (TI) di tempat kerja. Dari sudut pandang organisasi, bagaimanapun, masalah yang lebih penting adalah bagaimana manajer membuat keputusan tentang intervensi yang dapat menyebabkan penerimaan yang lebih besar dan pemanfaatan TI yang efektif. Ada penelitian terbatas dalam literatur implementasi TI yang berhubungan dengan peran intervensi untuk membantu pengambilan keputusan manajerial tersebut. Khususnya, ada kebutuhan untuk memahami bagaimana berbagai intervensi dapat mempengaruhi determinan adopsi dan penggunaan TI yang diketahui. Untuk mengatasi kesenjangan dalam literatur ini, kami mengambil dari banyak penelitian tentang model penerimaan teknologi (TAM), khususnya pekerjaan pada faktor penentu kegunaan yang dirasakan dan kemudahan penggunaan yang dirasakan, dan: (i) mengembangkan jaringan nomologis yang komprehensif (model terintegrasi) dari faktor-faktor penentu adopsi dan penggunaan tingkat individu (TI); (ii) menguji secara empiris model terintegrasi yang diusulkan; dan (iii) menyajikan agenda penelitian yang berfokus pada potensi intervensi sebelum dan sesudah implementasi yang dapat meningkatkan adopsi dan penggunaan TI oleh nasabah. Temuan dan agenda penelitian kami memiliki implikasi penting untuk pengambilan keputusan manajerial pada implementasi TI dalam organisasi.


Keywords


Penerimaan Teknologi, Layanan, BPJS Ketenagakerjaan

Full Text:

PDF

References


Abdullah, F., Ward, R., & Ahmed, E. (2016). Investigating the influence of the most commonly used external variables of TAM on students’ Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of e-portfolios. Computers in Human Behavior, 63, 75–90. https://doi.org/10.1016/j.chb.2016.05.014

Abu Samah, B., Shaffril, H. A. M., Abu Hassan, M., & D’Silva, J. L. (2011). Can Technology Acceptance Model be Applied on the Rural Setting: The Case of Village Development and Security Committee in Malaysia. Journal of Social Sciences, 7(2), 113–119. https://doi.org/10.3844/jssp.2011.113.119

Adeyemi, I. R., Razak, S. A., & Salleh, M. (2016). Understanding online behavior: Exploring the probability of online personality trait using supervised machine-learning approach. Frontiers in ICT, 3(MAY), 1–15. https://doi.org/10.3389/fict.2016.00008

Agarwal, R., & Karahanna, E. (2000). Time Files When You’re Fun : Cognitive Absorption and Beliefs about Information Technology Usage. MIS Quarterly, 24(4), 665–694.

Ajibade, P. (2019). Technology acceptance model limitations and criticisms: Exploring the practical applications and use in technology-related studies, mixed-method, and qualitative researches. Library Philosophy and Practice, 2019.

Ajzen, I., & Fisbbein, M. (1974). Factors Influencing Intentions and the Intention-Behavior Relation. Human Relations, 27(1), 1–15. https://doi.org/10.1177/001872677402700101

Alkhwaldi, A., & Kamala, M. (2017). Why Do Users Accept Innovative Technologies? A Critical Review of Models and Theories of Technology Acceptance in The Information System Literature. Journal of Multidisciplinary Engineering Science and Technology (JMEST), 4(8), 2458–9403. www.jmest.org

Amiruddin, Pontoh, G. T., & Sriningsih, E. (2021). Determinants of Attitudes of Computer Users: an Approach to the Technology Acceptance Model and Social Cognitive Theory. Webology, 18, 92–111. https://doi.org/10.14704/WEB/V18SI03/WEB18022

Ananda, D., Fitroh, Ratnawati, S., & Sistem, J. (2015). Evaluasi Penerimaan Pengguna Sistem Otomasi TULIS pada Pusat Perpustakaan UIN Syarif Hidayatullah Jakarta dengan Menggunakan Metode UTAUT. Jurusan Sistem InformasiFakultas Sains Dan Teknologi, 1–9.

Avey, J. B., Luthans, F., & Youssef, C. M. (2010). The additive value of positive psychological capital in predicting work attitudes and behaviors. Journal of Management, 36(2), 430–452. https://doi.org/10.1177/0149206308329961

Ayyagari, R. (2006). Examination of Hedonism in TAM Research. Information Systems, 197–204.

Azis, M. D. (2019). Pengaruh Kualitas Layanan, Kompetensi Tenaga Penjual Dan Citra Perusahaan Terhadap Keputusan Menggunakan Kembali Jasa Pada PT. Mandala Multifinance Cabang Palu. E-Jurnal Katalogis, 2(7), 58–67.

Bashir, I., & Madhavaiah, C. (2014). Revisiting Technology Acceptance Model (TAM) at the Individual Internet Banking Adoption Level. Metamorphosis: A Journal of Management Research, 13(1), 42–56. https://doi.org/10.1177/0972622520140107

Bedwell, W. L., Pavlas, D., Heyne, K., Lazzara, E. H., & Salas, E. (2012). Toward a taxonomy linking game attributes to learning: An empirical study. Simulation and Gaming, 43(6), 729–760. https://doi.org/10.1177/1046878112439444

Caplan, S. E. (2002). Problematic Internet use and psychosocial well-being: Development of a theory-based cognitive-behavioral measurement instrument. Computers in Human Behavior, 18(5), 553–575. https://doi.org/10.1016/S0747-5632(02)00004-3

Casidy, R., Duhachek, A., Singh, V., & Tamaddoni, A. (2021). Religious Belief, Religious Priming, and Negative Word of Mouth. Journal of Marketing Research, 58(4), 762–781. https://doi.org/10.1177/00222437211011196

Castells, M. (2014). The impact of the internet on society: A Global Perspective. Open Mind, 25.

Chao, C. M. (2019). Factors determining the behavioral intention to use mobile learning: An application and extension of the UTAUT model. Frontiers in Psychology, 10(JULY), 1–14. https://doi.org/10.3389/fpsyg.2019.01652

Ching-Ter, C., Hajiyev, J., & Su, C. R. (2017). Examining the students’ behavioral intention to use e-learning in Azerbaijan? The General Extended Technology Acceptance Model for E-learning approach. Computers and Education, 111, 128–143. https://doi.org/10.1016/j.compedu.2017.04.010

Compeau, D., Higgins, C. A., & Huff, S. (1999). Social cognitive theory and individual reactions to computing technology: A longitudinal study. MIS Quarterly: Management Information Systems, 23(2), 145–158. https://doi.org/10.2307/249749

Dönmez-Turan, A., & Kir, M. (2019). User anxiety as an external variable of technology acceptance model: A meta-analytic study. Procedia Computer Science, 158, 715–724. https://doi.org/10.1016/j.procs.2019.09.107

Donmez, C. C., Sen, D., Dereli, A. F., Horasan, M. B., Yildiz, C., & Kaplan Donmez, N. F. (2021). An Investigation of Fiat Characterization and Evolutionary Dynamics of the Cryptocurrency Market. SAGE Open, 11(1). https://doi.org/10.1177/2158244021994809

Fajrin, M. U., Tiorida, E., & Kunci, K. (2020). Faktor yang Memengaruhi Minat Perilaku Penggunaan Teknologi ( Studi : Pengguna Aplikasi Video Conference selama Physical Distancing ). Prosiding The 11th Industrial Research Workshop and National Seminar, 977–984.

Farfar, G. (2021). Efektifitas Penggunaan Aplikasi Zoom Meeting Dalam Pembelajaran. ISTORIA: Jurnal Pendidikan Dan Sejarah, 17(1).

Fishbein, M., & Ajzen, I. (1975). Intention and Behavior: An introduction to theory and research. Addison-Wesley Publishing Company, Inc. Phillipines.

Gao, L., Bai, X., & Park, A. (Tony). (2017). Understanding Sustained Participation in Virtual Travel Communities from the Perspectives of is Success Model and Flow Theory. In Journal of Hospitality and Tourism Research (Vol. 41, Issue 4). https://doi.org/10.1177/1096348014563397

Gerhana, Y. A., Irfan, M., & Slamet, C. (2017). Implementasi Technology Acceptance Model untuk Mengukur Penerimaan Guru terhadap Inovasi Pembelajaran (Studi Kasus Model Pembelajaran CBR di SMK). Jurnal Teknik Informatika UIN Sunan Gunung Djati Bandung, X(2), 1–18.

Guimaraes, T., Igbaria, M., & Lu, M. ‐t. (1992). The Determinants of DSS Success: An Integrated Model. Decision Sciences, 23(2), 409–430. https://doi.org/10.1111/j.1540-5915.1992.tb00397.x

Hamdan, A., Din, R., & Abdul Manaf, S. Z. (2013). Penerimaan m-Pembelajaran dalam Sintem Pendidikan di Malaysia melalui The Unified Theory of Acceptance and Use of Technology (UTAUT): Satu Analisis Literatur. 1st International Conference on Mobil Learning, Applications, and Services (Mobilcase2012), 1(2), 93–97.

Hamza, A., Sharma, M. K., Anand, N., Marimuthu, P., Thakur, P. C., Baglari, H., & Singh, P. (2017). Urban and rural pattern of Internet use among youth and its association with mood state. Journal of Family Medicine and Primary Care, 6(2), 169–170. https://doi.org/10.4103/jfmpc.jfmpc

Hanifah Salsabila, U., Irna Sari, L., Haibati Lathif, K., Puji Lestari, A., & Ayuning, A. (2020). Peran Teknologi Dalam Pembelajaran Di Masa Pandemi Covid-19. Al-Mutharahah: Jurnal Penelitian Dan Kajian Sosial Keagamaan, 17(2), 188–198. https://doi.org/10.46781/al-mutharahah.v17i2.138

Hennig-Thurau, T., Malthouse, E. C., Friege, C., Gensler, S., Lobschat, L., Rangaswamy, A., & Skiera, B. (2010). The impact of new media on customer relationships. Journal of Service Research, 13(3), 311–330. https://doi.org/10.1177/1094670510375460

Holden, H., & Rada, R. (2011). Understanding the influence of perceived usability and technology self-efficacy on teachers’ technology acceptance. Journal of Research on Technology in Education, 43(4), 343–367. https://doi.org/10.1080/15391523.2011.10782576

Hornbæk, K., & Hertzum, M. (2017). Technology acceptance and user experience: A review of the experiential component in HCI. ACM Transactions on Computer-Human Interaction, 24(5). https://doi.org/10.1145/3127358

Igbaria, M., Guimaraes, T., & Davis, G. B. (1995). Testing the Determinants of Microcomputer Usage via a Structural Equation Model. Journal of Management Information Systems, 11(4), 87–114. https://doi.org/10.1080/07421222.1995.11518061

Igbaria, M., Parasuraman, S., & Baroudi, J. J. (1996). A Motivational Model of Microcomputer Usage. Journal of Management Information Systems, 13(1), 127–143. https://doi.org/10.1080/07421222.1996.11518115

Ilmi, M., Setyo Liyundira, F., Rachmawati, A., Juliasari, D., & Habsari, P. (2020). Perkembangan Dan Penerapan Theory Of Acceptance Model (TAM) Di Indonesia. Relasi : Jurnal Ekonomi, 16(2), 436–458. https://doi.org/10.31967/relasi.v16i2.371

Islam, S. (2011). Adoption of mobile phones among the farmers : A case study from rural Bangladesh Submitted by. In Orebro University (Vol. 2011).

Islam, S. M., & Grönlund, Å. G. (2012). Factors Influencing the Adoption of Mobile Phones among the Farmers in Bangladesh: Theories and Practices. International Journal on Advances in ICT for Emerging Regions (ICTer), 4(1), 4. https://doi.org/10.4038/icter.v4i1.4670

Kevin Ford, J. (2008). Transforming Our Models of Learning and Development: How Far Do We Go? Industrial and Organizational Psychology, 1(4), 468–471. https://doi.org/10.1111/j.1754-9434.2008.00087.x

Kholifah, N., Christy, A., Gadi, Z., Emy, S., Suprihatin, Y., & Zuhnikhayati, E. (2020). Penggunaan Zoom Cloud Meeting Sebagai Alternatif.

Kimathi, F. A., & Zhang, Y. (2019). Exploring the General Extended Technology Acceptance Model for e-Learning Approach on Student’s Usage Intention on e-Learning System in University of Dar es Salaam. Creative Education, 10(01), 208–223. https://doi.org/10.4236/ce.2019.101017

King, W. R., & He, J. (2006). A meta-analysis of the technology acceptance model. Information and Management, 43(6), 740–755. https://doi.org/10.1016/j.im.2006.05.003

Kivinen, J., Smola, A. J., & Williamson, R. C. (2004). Online learning with kernels. IEEE Transactions on Signal Processing, 52(8), 2165–2176. https://doi.org/10.1109/TSP.2004.830991

Kurniabudi, Sharipuddin, & Assegaff, S. (2015). A Literature Review: Acceptance Models for e-learning Implementation in Higher Institution. Proceedings of the 2014 International Conference on Advances in Education Technology, 11(October). https://doi.org/10.2991/icaet-14.2014.20

Lai, V. S., & Li, H. (2005). Technology acceptance model for internet banking: An invariance analysis. Information and Management, 42(2), 373–386. https://doi.org/10.1016/j.im.2004.01.007

Landers, R. N. (2014). Developing a Theory of Gamified Learning: Linking Serious Games and Gamification of Learning. Simulation and Gaming, 45(6), 752–768. https://doi.org/10.1177/1046878114563660

Lim, W. M. (2018). Research Note Dialectic Antidotes to Critics of the Technology Acceptance Model 1. Australasian Journal of Information Systems Lim, 22, 1–10.

Lo, T. T., Schnabel, M. A., & Moleta, T. J. (2017). Gamification for User Oriented Housing Design. International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), 63–72.

Long, N. N., & Khoi, B. H. (2020). The Intention to Study Using Zoom During the SARSCoV-2 Pandemic. International Journal of Emerging Technologies in Learning, 15(21), 195–216. https://doi.org/10.3991/ijet.v15i21.16777

Lowell, J. (2012). Managers and Moral Dissonance: Self Justification as a Big Threat to Ethical Management? Journal of Business Ethics, 105(1), 17–25. https://doi.org/10.1007/s10551-011-0931-9

Lowry, P. B., Gaskin, J. E., Twyman, N. W., Hammer, B., & Roberts, T. L. (2013). Taking “fun and games” seriously: Proposing the hedonic-motivation system adoption model (HMSAM). Journal of the Association for Information Systems, 14(11), 617–671. https://doi.org/10.17705/1jais.00347

Maikomo, J. M., Targema, T. S., & Obun-Andy, M. K. (2021). COVID-19 and the New normal in Developing Societies: An Appraisal of Nigerians’ Adaptation to Digital Life in Public and Private Spheres. Journal of Developing Societies, 1, 1–29. https://doi.org/10.1177/0169796X21996830

Mar’ah, N. K., Rusilowati, A., & Sumarni, W. (2020). Perubahan Proses Pembelajaran Daring Pada Siswa Sekolah Dasar. Prosiding Seminar Nasional Pascasarjana UNNES.

Neacsiu, A. D., Rompogren, J., Eberle, J. W., & McMahon, K. (2018). Changes in Problematic Anger, Shame, and Disgust in Anxious and Depressed Adults Undergoing Treatment for Emotion Dysregulation. Behavior Therapy, 49(3), 344–359. https://doi.org/10.1016/j.beth.2017.10.004

Nikijuluw, G. M. E., Rorong, A., & Londa, V. Y. (2020). PERILAKU MASYARAKAT DI ERA DIGITAL (STUDI DI DESA WATUTUMOU III KECAMATAN KALAWAT KABUPATEN MINAHASA UTARA). Jurnal Administrasi Publik, 6(92), 103–111.

Olushola, T., & Abiola, J. O. (2017). The Efficacy of Technology Acceptance Model: A Review of Applicable Theoretical Models in Information Technology Researches. Quest Journals Journal of Research in Business and Management, 4(11), 2347–3002.

Pizzi, G., & Scarpi, D. (2020). Privacy threats with retail technologies: A consumer perspective. Journal of Retailing and Consumer Services, 56(May), 102160. https://doi.org/10.1016/j.jretconser.2020.102160

Purnomo, S. H., & Lee, Y. H. (2013). E-learning adoption in the banking workplace in Indonesia: An empirical study. Information Development, 29(2), 138–153. https://doi.org/10.1177/0266666912448258

Putra, N. P. (2020). Solusi Pembelajaran Jarak Jauh Menggunakan Aplikasi Zoom Dan Whatsapp Group Di Era New Normal Pada Warga Belajar Paket C Di Pusat Kegiatan Belajar Masyarakat (Pkbm) Bina Insani. Jipsindo, 7(2), 162–176. https://doi.org/10.21831/jipsindo.v7i2.34939

Rajabi, S., Lashgarara, F., Chowdhury, A., Rashvand, H., & Daghighi, H. S. (2021). Improving Effectiveness of Rural Information and Communication Technology Offices : The Case of Qazvin Province in Iran. Asia-Pacific Journal of Rural Development, 1(1), 1–19. https://doi.org/10.1177/10185291211027455

Seaborn, K., & Fels, D. I. (2015). Gamification in theory and action: A survey. International Journal of Human Computer Studies, 74, 14–31. https://doi.org/10.1016/j.ijhcs.2014.09.006

Secor, A. J. (2002). The veil and urban space in Istanbul: Women’s dress, mobility and Islamic knowledge. Gender, Place and Culture, 9(1), 5–22. https://doi.org/10.1080/09663690120115010

Setiyowati, A., Salsabila, U. H., Zulaika, R., & ... (2020). Peran Teknologi Pendidikan Dalam Penggunaan E-Learning Sebagai Platform Pembelajaran Dimasa Pandemi C0Vid-19. EDURELIGIA: Jurnal …, 04(02), 196–206. https://www.ejournal.unuja.ac.id/index.php/edureligia/article/view/1497

Suh, B., & Han, I. (2002). E ffect of trust on customer acceptance of Internet banking. Electronic Commerce Research and Applications, 1(3–4), 9.

Sun, Y., & Zhang, H. (2021). What Motivates People to Pay for Online Sports Streaming? An Empirical Evaluation of the Revised Technology Acceptance Model. Frontiers in Psychology, 12(May), 1–11. https://doi.org/10.3389/fpsyg.2021.619314

Szajna, B. (1996). Empirical evaluation of the revised technology acceptance model. Management Science, 42(1), 85–92. https://doi.org/10.1287/mnsc.42.1.85

Szentágotai-Tǎtar, A., & Miu, A. C. (2016). Individual differences in emotion regulation, childhood trauma and proneness to shame and guilt in adolescence. PLoS ONE, 11(11), 1–13. https://doi.org/10.1371/journal.pone.0167299

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

Tambotoh, J. J. C., Manuputty, A. D., & Banunaek, F. E. (2015). Socio-economics Factors and Information Technology Adoption in Rural Area. Procedia Computer Science, 72, 178–185. https://doi.org/10.1016/j.procs.2015.12.119

Veblen, T. (2017). Thorstein Veblen: The Theory of the Leisure Class. In Oxford University Press Great Britain. Oxford University Press Great Britain. https://doi.org/10.1007/978-3-658-08184-3_4

Venkatesh, V., & Bala, H. (2008). Venkatesh_et_al-2008-Decision_Sciences. Journal of Decision Sciences Institute, 39(2), 273–315. https://www.mendeley.com/catalogue/technology-acceptance-model-3-research-agenda-interventions-2/

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). USER ACCEPTANCE OF INFORMATION TECHNOLOGY: TOWARD A UNIFIED VIEW. Research Article, 27(3), 425–478.

Viswanath Venkatesh, & Xu, J. Y. L. T. and X. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.1109/MWSYM.2015.7167037

Wang, Y. S., Wang, Y. M., Lin, H. H., & Tang, T. I. (2003). Determinants of user acceptance of Internet banking: An empirical study. In International Journal of Service Industry Management (Vol. 14, Issue 5). https://doi.org/10.1108/09564230310500192

Winarno, W. A., Mas’ud, I., & Palupi, T. W. (2021). Perceived Enjoyment, Application Self-efficacy, and Subjective Norms as Determinants of Behavior Intention in Using OVO Applications. Journal of Asian Finance, Economics and Business, 8(2), 1189–1200. https://doi.org/10.13106/jafeb.2021.vol8.no2.1189

Wu, J. H., & Wang, S. C. (2005). What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Information and Management, 42(5), 719–729. https://doi.org/10.1016/j.im.2004.07.001

Wu, J., & Lu, X. (2013). Effects of extrinsic and intrinsic motivators on using utilitarian, hedonic, and dual-purposed information systems: A meta-analysis. Journal of the Association for Information Systems, 14(3), 153–191. https://doi.org/10.17705/1jais.00325

Xu, X., Hou, Z., Lian, C., & He, H. (2013). Online learning control using adaptive critic designs with sparse kernel machines. IEEE Transactions on Neural Networks and Learning Systems, 24(5), 762–775. https://doi.org/10.1109/TNNLS.2012.2236354

Yeou, M. (2016). An Investigation of Students’ Acceptance of Moodle in a Blended Learning Setting Using Technology Acceptance Model. Journal of Educational Technology Systems, 44(3), 300–318. https://doi.org/10.1177/0047239515618464

Yzer, M. (2012). Perceived behavioral control in reasoned action theory: A dual-aspect interpretation. Annals of the American Academy of Political and Social Science, 640(1), 101–117. https://doi.org/10.1177/0002716211423500

Zafarullah, H., & Ferdous, J. (2021). Cyberspace at the Grassroots: E-Governance and Citizen/Stakeholder Perceptions at the Local Level in Bangladesh. Journal of Development Policy and Practice, 6(2), 168–187. https://doi.org/10.1177/24551333211034082

Zaremohzzabieh, Z., Samah, B. A., Muhammad, M., Omar, S. Z., Bolong, J., Hassan, M. S., & Shaffril, H. A. M. (2015). A Test of the Technology Acceptance Model for Understanding the ICT Adoption Behavior of Rural Young Entrepreneurs. International Journal of Business and Management, 10(2), 158–169. https://doi.org/10.5539/ijbm.v10n2p158

Zaric, N., Roepke, R., Lukarov, V., & Schroeder, U. (2021). Gamified learning theory: The moderating role of learners’ learning tendencies. International Journal of Serious Games, 8(3), 71–91. https://doi.org/10.17083/IJSG.V8I3.438

Zulherman, Z., Nuryana, Z., Pangarso, A., & Zain, F. M. (2021). Factor of zoom cloud meetings (ZCM): Technology adoption on the pandemic covid-19. International Journal of Evaluation and Research in Education (IJERE), 10(3), 816–825. https://doi.org/10.11591/ijere.v10i3.21726




DOI: https://doi.org/10.29103/e-mabis.v23i2.859

Copyright (c) 2022 Nurhayati Nurhayati, Rusdi Rusdi

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.