E-Government Service for Driving Digital Creative Economy in Developing Region: Perspective of Technology Readiness Index and PLS-SEM
Abstract
E-government plays an important role in digital economic transformation by improving access to public services and driving economic growth. One implementation in West Papua Province is Rumahekraf, a digital marketing platform for creative economy players in the local region. However, the adoption of this platform is still low, and not many studies have examined factors that influence public acceptance of this service. Therefore, this study aims to identify factors that contribute to and inhibit users' intentions to adopt this platform in West Papua. We combine the Technology Readiness Index (TRI) and Technology Acceptance Model (TAM) to understand this phenomenon. Data was gathered via an online survey utilizing Google Forms, consisting of 157 merchants/business owners. The information was examined employing Partial Least Squares Structural Equation Modeling (PLS-SEM). The research indicates that innovativeness, perceived ease of use (PEOU), and facilitating conditions play an important role in increasing users’ intention to adopt Rumahekraf (R² = 59.4%). Additionally, PEOU also contributes to increased perceived usefulness (PU) (R² = 41.1%), which in turn strengthens the benefits perceived by users (R² = 55.7%). Optimism significantly affects PEOU but not usefulness. Meanwhile, insecurity and discomfort were not found to be major barriers to the adoption of this platform. This research provides insights for local government and platform development in improving the effectiveness of e-government implementation in West Papua by providing more adequate infrastructure and increasing public trust in the platform.
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S. M. Sholihah, A. Subiyakto, S. Ratnawati, and M. N. Azizah, “Qualitative evaluation of user acceptance readiness to the implementation of the health center management information system (SIMPUS) at the south tangerang city health center,” Applied Information System and Management (AISM), vol. 5, no. 1, pp. 1–6, Apr. 2022.
Y. K. Dwivedi et al., “Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy,” Int J Inf Manage, vol. 57, pp. 1–49, Apr. 2021.
N. P. Rana, S. Luthra, S. K. Mangla, R. Islam, S. Roderick, and Y. K. Dwivedi, “Barriers to the development of smart cities in indian context,” Information Systems Frontiers, vol. 21, no. 3, pp. 503–525, Jun. 2019.
E. Prasetyo, T. M. Mazya, and N. Nurimani, “Penerapan model tata kelola digital pada pelayanan publik daring application of digital governance model in online public services,” Journal Governansi, no. 2, pp. 81–94, Oct. 2023.
I. K. Ofori, D. B. Osei, and I. P. Alagidede, “Inclusive growth in Sub-Saharan Africa: Exploring the interaction between ICT diffusion, and financial development,” Telecomm Policy, vol. 46, no. 7, pp. 1–32, Aug. 2022.
V. Kenny and C. M. Firdausy, “Pengaruh Performance expectation, effort expectation, social influence, dan facilitating condition terhadap behavioral intention pada pengguna shopeepay di jakarta,” Jurnal Manajemen Bisnis Dan Kewirausahaan, vol. 6, no. 3, pp. 272–277, Aug. 2021.
A. Purwanto and Y. Sudargini, “Partial least squares structural squation modeling (PLS-SEM) analysis for social and management research: A literature review,” Journal of Industrial Engineering & Management Research, vol. 2, no. 4, pp. 114–123, 2021.
U. Chotijah and F. Retrialisca, “Analysis of information technology readiness in furniture business in indonesia,” Indonesian Journal of Information Systems (IJIS), vol. 3, no. 1, pp. 14–22, Aug. 2020.
C. Wu and G. G. Lim, “Investigating older adults users’ willingness to adopt wearable devices by integrating the technology acceptance model (UTAUT2) and the Technology Readiness Index theory,” Front Public Health, vol. 12, pp. 1–20, 2024.
N. Larasati, “Technology readiness and technology acceptance model in new technology implementation process in low technology SMEs,” International Journal of Innovation, Management and Technology, vol. 8, no. 2, pp. 113–117, Apr. 2017.
D. K. Rinjany, “Does Technology Readiness and Acceptance Induce more Adoption of E-Government? 68 Does Technology Readiness and Acceptance Induce more Adoption of E-Government? Applying the UTAUT and TRI on an Indonesian Complaint-Based Application,” Policy & Governance Review, vol. 4, no. 3, pp. 68–86, Jan. 2020.
R. Edmunds, M. Thorpe, and G. Conole, “Student attitudes towards and use of ICT in course study, work and social activity: A technology acceptance model approach,” British Journal of Educational Technology, vol. 43, no. 1, pp. 71–84, Jan. 2012.
Y. Helena Chiu, S. Fang, and C. Tseng, “Early versus potential adopters,” International Journal of Retail & Distribution Management, vol. 38, no. 6, pp. 443–459, May 2010.
H. S. H. Gombachika and G. Khangamwa, “ICT readiness and acceptance among TEVT students in university of malawi,” Campus-Wide Information Systems, vol. 30, no. 1, pp. 35–43, Dec. 2012.
A. Parasuraman and C. L. Colby, “An updated and streamlined technology readiness index: TRI 2.0,” J Serv Res, vol. 18, no. 1, pp. 59–74, Feb. 2015.
A. Alawneh, H. Al-Refai, and K. Batiha, “Measuring user satisfaction from e-government services: Lessons from jordan,” Gov Inf Q, vol. 30, no. 3, pp. 277–288, Jul. 2013.
Y. K. Dwivedi, N. P. Rana, A. Jeyaraj, M. Clement, and M. D. Williams, “Re-examining the unified theory of acceptance and use of technology (UTAUT): Towards a revised theoretical model,” Information Systems Frontiers, vol. 21, no. 3, pp. 719–734, Jun. 2019.
A. Parasuraman, “Technology readiness index (TRI) a multiple-item scale to measure readiness to embrace new technologies,” J Serv Res, vol. 2, no. 4, pp. 307–320, May 2000.
I. A. Khumaidi and R. H. Kusumaningtyas, “Technology acceptance model perilaku pengguna pada sistem enterprise dompet dhuafa,” Applied Information System and Management (AISM), vol. 4, no. 1, pp. 11–16, Apr. 2021.
Davis, “Perceived usefulness, perceived ease of use, and user acceptance of information technology,” MIS Quarterly, vol. 13, no. 3, pp. 319–340, Sep. 1989.
V. Venkatesh, R. H. Smith, M. G. Morris, G. B. Davis, F. D. Davis, and S. M. Walton, “User acceptance of information technology: Toward a unified view1,” MIS Quarterly, vol. 27, no. 3, pp. 425–478, 2003.
V. Venkatesh, S. M. Walton, J. Y. L. Thong, and X. Xu, “Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology,” MIS Quarterly, vol. 36, no. 1, pp. 157–178, 2012.
M. Felea, M. Bucur, C. Negruțiu, M. Nițu, and D. A. Stoica, “Wearable technology adoption among romanian students: A structural model based on Tam,” Amfiteatru Economic, vol. 23, no. 57, pp. 376–391, 2021.
K. J. Kim and D.-H. Shin, “An acceptance model for smart watches,” Internet Research, vol. 25, no. 4, pp. 527–541, Aug. 2015.
M. J. Kang and Y. C. Hwang, “Exploring the factors affecting the continued usage intention of iot-based healthcare wearable devices using the TAM Model,” Sustainability (Switzerland), vol. 14, no. 19, pp. 1–25, Oct. 2022.
I. Ajzen, “The theory of planned behavior,” Organ Behav Hum Decis Process, vol. 50, no. 2, pp. 179–211, Dec. 1991.
R. Agarwal and J. Prasad, “A conceptual and operational definition of personal innovativeness in the domain of information technology,” Information Systems Research, vol. 9, no. 2, pp. 204–215, 1998.
M. L. Meuter, A. L. Ostrom, M. J. Bitner, and R. Roundtree, “The influence of technology anxiety on consumer use and experiences with self-service technologies,” J Bus Res, vol. 56, no. 11, pp. 899–906, Nov. 2003.
A. Ardiansyah, R. Risnita, and M. S. Jailani, “Teknik pengumpulan data dan instrumen penelitian ilmiah pendidikan pada pendekatan kualitatif dan kuantitatif,” Jurnal Pendidikan Islam, vol. 1, no. 2, pp. 1–9, Jul. 2023.
J. W. Creswell, Research design: qualitative, quantitative, and mixed methods approaches. Sage Publications, 2003.
I. Etikan, “Comparison of Convenience sampling and purposive sampling,” American Journal of Theoretical and Applied Statistics, vol. 5, no. 1, pp. 1–4, 2016.
F. Faul, E. Erdfelder, A.-G. Lang, and A. Buchner, “G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences,” Behav Res Methods, vol. 39, no. 2, pp. 175–191, 2007.
M. Firmansyah, I. Dewa, and K. Yudha, “The essence of the difference between qualitative and quantitative methods,” Jurnal Ekonomi Pembangunan, vol. 3, no. 2, pp. 156–159, Sep. 2021.
J. F. . Hair, G. T. M. . Hult, C. M. . Ringle, and Marko. Sarstedt, A primer on partial least squares structural equation modeling (PLS-SEM). Sage, 2017.
J. Henseler, C. M. Ringle, and R. R. Sinkovics, “The use of partial least squares path modeling in international marketing,” Advances in International Marketing, vol. 20, pp. 277–319, 2009.
M. Sarstedt, C. M. Ringle, and J. F. Hair, “Partial Least Squares Structural Equation Modeling,” in Handbook of Market Research, Springer International Publishing, 2021, pp. 1–47.
D. I. Inan et al., “Factors influencing mobile tourism recommender systems adoption by smart travellers: Perceived value and parasocial interaction perspectives,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, 2020, pp. 52–62.
J. F. Hair, J. J. Risher, M. Sarstedt, and C. M. Ringle, “When to use and how to report the results of PLS-SEM,” European Business Review, vol. 31, no. 1, pp. 2–24, Jan. 2019.
A. Susanto, Q. Aini, and A. Fitriyani, “Integrasi model: Uji empiris keberhasilan perdagangan elektronik berbasis individu (C2C e-commerce),” Applied Information System and Management (AISM), vol. 6, no. 1, pp. 29–38, Apr. 2023.
D. I. Inan et al., “How personal, technical, social environments affecting generation Z to utilise video-based sharing platform in learning process during crisis?,” Res Pract Technol Enhanc Learn, vol. 19, pp. 1–20, May 2023.
Y. Religia, M. Ekhsan, M. Huda, and A. D. Fitriyanto, “TOE framework for e-commerce adoption by MSMEs during the COVID-19 pandemic: Can trust moderate?,” Applied Information System and Management (AISM), vol. 6, no. 1, pp. 47–54, Apr. 2023.
M. Sarstedt, C. M. Ringle, and J. F. Hair, “Partial Least Squares Structural Equation Modeling,” in Handbook of Market Research, Springer International Publishing, 2021, pp. 1–47.
J. H. Kandami, D. Iskandar Inan, R. Juita, L. Yertas Baisa, M. Sanglise, and M. Indra, “Development and evaluation of android-based infrastructure rental application: A design science research approach,” Jurnal Teknologi dan Manajemen Informatika, vol. 10, no. 1, pp. 37–47, 2024.
M. Patabang, Dedi Iskandar Inan, Amestina Matualage, and M. Indra, “The Moderation effect of technology anxiety on digital transformation readiness in public universities: An organizational readiness approach,” JUSIFO (Jurnal Sistem Informasi), vol. 10, no. 2, pp. 59–70, Dec. 2024.
D. I. Inan et al., “Service quality and self-determination theory towards continuance usage intention of mobile banking,” Journal of Science and Technology Policy Management, vol. 14, no. 2, pp. 303–328, Mar. 2023.
D. I. Inan et al., “Technology anxiety and social influence towards intention to use of ride-hailing service in Indonesia,” Case Stud Transp Policy, vol. 10, no. 3, pp. 1591–1601, Sep. 2022.
A. D. Oktavia, D. I. Inan, R. N. Wurarah, and O. A. Fenetiruma, “Analysis of determinants of e-wallet adoption in west papua: extended UTAUT 2 and perceived risk,” MALCOM: Indonesian Journal of Machine Learning and Computer Science, vol. 4, no. 2, pp. 587–600, Mar. 2024.
I. S. Wijaya, “Analysis of edmodo e-learning success by adopting the delone & mclean model at universitas dinamika bangsa,” Jurnal Teknik Informatika dan Sistem Informasi, vol. 9, no. 3, pp. 2547–2557, 2022.
D. Vantissha, A. H. Azizah, and S. Arifin, “Assessing hospital management information systems success using human organization and technology fit model,” Applied Information System and Management (AISM), vol. 5, no. 1, pp. 37–44, Apr. 2022.
P. M. Podsakoff, S. B. MacKenzie, J. Y. Lee, and N. P. Podsakoff, “Common method biases in behavioral research: A critical review of the literature and recommended remedies,” Journal of Applied Psychology, vol. 88, no. 5, pp. 879–903, Oct. 2003.
C. F. Risdiyanto, D. I. Inan, R. N. Wurarah, and O. A. Fenetiruma, “Analisis faktor-faktor pendukung dan penghambat beralih mengadopsi mobile banking di papua barat memanfaatkan PLS-SEM dan perspektif status quo bias,” MALCOM: Indonesian Journal of Machine Learning and Computer Science, vol. 4, no. 2, pp. 637–646, Mar. 2024.
J. F. Hair Jr, L. M. Matthews, R. L. Matthews, and M. Sarstedt, “PLS-SEM or CB-SEM: updated guidelines on which method to use,” International Journal of Multivariate Data Analysis, vol. 1, no. 2, p. 107, Jan. 2017, doi: 10.1504/ijmda.2017.087624.
N. Kock, “Common method bias in PLS-SEM: A full collinearity assessment approach,” International Journal of e-Collaboration, vol. 11, no. 4, pp. 1–10, 2015.
DOI: https://doi.org/10.15408/aism.v8i1.45514
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