Factors Influecing Continuance Intention of PLN Mobile Applications at PT. PLN (Persero)
Abstract
The company-developed mobile application aims to enhance its services. PLN Mobile is an app created by PT. PLN (Persero). This study analyzes factors influencing continuance intention of the PLN Mobile application, using constructs that shape trust and the UTAUT-2 extended model. Data were collected through online questionnaires from 358 respondents. Partial Least Square Structural Equation Modeling (PLS-SEM) was employed for data analysis. The results indicate that trust, epistemic value, satisfaction, and habit influence continuance intention. This study enhances understanding of determinants of PLN Mobile app continuance intention in the Indonesian state-owned electricity company.
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Abbasi, G. A., Sandran, T., Ganesan, Y., & Iranmanesh, M. (2022). Go cashless! Determinants of continuance intention to use E-wallet apps: A hybrid approach using PLS-SEM and fsQCA. Technology in Society, 68. https://doi.org/10.1016/j.techsoc.2022.101937
Abdul-Halim, N. A., Vafaei-Zadeh, A., Hanifah, H., Teoh, A. P., & Nawaser, K. (2022). Understanding the determinants of e-wallet continuance usage intention in Malaysia. Quality and Quantity, 56(5), 3413–3439. https://doi.org/10.1007/s11135-021-01276-7
Abu-Taieh, E. M., AlHadid, I., Abu-Tayeh, S., Masa’deh, R., Alkhawaldeh, R. S., Khwaldeh, S., & Alrowwad, A. (2022). Continued Intention to Use of M-Banking in Jordan by Integrating UTAUT, TPB, TAM and Service Quality with ML. Journal of Open Innovation: Technology, Market, and Complexity, 8(3). https://doi.org/10.3390/joitmc8030120
Ahmad, S. Z., & Khalid, K. (2017). The adoption of M-government services from the user’s perspectives: Empirical evidence from the United Arab Emirates. International Journal of Information Management, 37(5), 367–379. https://doi.org/10.1016/j.ijinfomgt.2017.03.008
Akdim, K., Casaló, L. V., & Flavián, C. (2022). The role of utilitarian and hedonic aspects in the continuance intention to use social mobile apps. Journal of Retailing and Consumer Services, 66. https://doi.org/10.1016/j.jretconser.2021.102888
Alarabiat, A., Soares, D., & Estevez, E. (2021). Determinants of citizens’ intention to engage in government-led electronic participation initiatives through Facebook. Government Information Quarterly, 38(1). https://doi.org/10.1016/j.giq.2020.101537
Alkhowaiter, W. A. (2022). Use and behavioural intention of m-payment in GCC countries: Extending meta-UTAUT with trust and Islamic religiosity. Journal of Innovation and Knowledge, 7(4). https://doi.org/10.1016/j.jik.2022.100240
Alruwaie, M., El-Haddadeh, R., & Weerakkody, V. (2020). Citizens’ continuous use of eGovernment services: The role of self-efficacy, outcome expectations and satisfaction. Government Information Quarterly, 37(3). https://doi.org/10.1016/j.giq.2020.101485
Al-Saedi, K., Al-Emran, M., Ramayah, T., & Abusham, E. (2020). Developing a general extended UTAUT model for M-payment adoption. Technology in Society, 62. https://doi.org/10.1016/j.techsoc.2020.101293
Anam, K. (2022). Top! Aplikasi PLN Mobile Diunduh 35 Juta Lebih Pengguna. Cnbcindonesia. https://www.cnbcindonesia.com/news/20221227170321-4-400579/top-aplikasi-pln-mobile-diunduh-35-juta-lebih-pengguna
APJII. (2022). Profil Internet Indonesia 2022. Asosiasi Penyelenggara Jasa Internet Indonesia.
Aprilia, C., & Amalia, R. (2023). Perceived Security and Technology Continuance Theory: An Analysis Of Mobile Wallet Users’ Continuance Intention. Global Business Review. https://doi.org/10.1177/09721509221145831
Baabdullah, A. M., Alalwan, A. A., Rana, N. P., Kizgin, H., & Patil, P. (2019). Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model. International Journal of Information Management, 44, 38–52. https://doi.org/10.1016/j.ijinfomgt.2018.09.002
Baishya, K., & Samalia, H. V. (2020). Extending unified theory of acceptance and use of technology with perceived monetary value for smartphone adoption at the bottom of the pyramid. International Journal of Information Management, 51. https://doi.org/10.1016/j.ijinfomgt.2019.11.004
Chakraborty, D., Siddiqui, A., Siddiqui, M., Rana, N. P., & Dash, G. (2022). Mobile payment apps filling value gaps: Integrating consumption values with initial trust and customer involvement. Journal of Retailing and Consumer Services, 66. https://doi.org/10.1016/j.jretconser.2022.102946
Chan, V. H. Y., Chiu, D. K. W., & Ho, K. K. W. (2022). Mediating effects on the relationship between perceived service quality and public library app loyalty during the COVID-19 era. Journal of Retailing and Consumer Services, 67. https://doi.org/10.1016/j.jretconser.2022.102960
Chin, A. G., Harris, M. A., & Brookshire, R. (2018). An Empirical Investigation of Intent to Adopt Mobile Payment Systems Using a Trust-based Extended Valence Framework. Springer329, 329–347. https://doi.org/10.1007/s10796-020-10080-x/Published
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748
Ding, Y., & Chai, K. H. (2015). Emotions and continued usage of mobile applications. Industrial Management and Data Systems, 115(5), 833–852. https://doi.org/10.1108/IMDS-11-2014-0338
Dwivedi, Y. K., Shareef, M. A., Simintiras, A. C., Lal, B., & Weerakkody, V. (2016). A generalised adoption model for services: A cross-country comparison of mobile health (m-health). Government Information Quarterly, 33(1), 174–187. https://doi.org/10.1016/j.giq.2015.06.003
Ferrin, D. L., Rao, H. R., & Kim, D. J. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544–564. https://doi.org/10.1016/j.dss.2007.07.001
Goyal, S., Chauhan, S., & Gupta, P. (2022). Users’ response toward online doctor consultation platforms: SOR approach. Management Decision, 60(7), 1990–2018. https://doi.org/10.1108/MD-02-2021-0268
Gu, J. C., Lee, S. C., & Suh, Y. H. (2009). Determinants of behavioral intention to mobile banking. Expert Systems with Applications, 36(9), 11605–11616. https://doi.org/10.1016/j.eswa.2009.03.024
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). MULTIVARIATE DATA ANALYSIS EIGHTH EDITION. www.cengage.com/highered
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, Marko. (2017). A primer on partial least squares structural equation modeling (PLS-SEM).
Hausman, A. V., & Siekpe, J. S. (2009). The effect of web interface features on consumer online purchase intentions. Journal of Business Research, 62(1), 5–13. https://doi.org/10.1016/j.jbusres.2008.01.018
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
Herjanto, H., & Amin, M. (2020). Repurchase intention: the effect of similarity and client knowledge. International Journal of Bank Marketing, 38(6), 1351–1371. https://doi.org/10.1108/IJBM-03-2020-0108
Jun, M., & Cai, S. (2001). The key determinants of Internet banking service quality: a content analysis. http://www.emerald-library.com/ft
Kapinga, A. F., Suero Montero, C., & Mbise, E. R. (2019). Mobile marketing application for entrepreneurship development: Codesign with women entrepreneurs in Iringa, Tanzania. Electronic Journal of Information Systems in Developing Countries, 85(2). https://doi.org/10.1002/isd2.12073
Kapoor, A., Sindwani, R., Goel, M., & Shankar, A. (2022). Mobile wallet adoption intention amid COVID-19 pandemic outbreak: A novel conceptual framework. Computers and Industrial Engineering, 172. https://doi.org/10.1016/j.cie.2022.108646
Kar, A. K. (2021). What Affects Usage Satisfaction in Mobile Payments? Modelling User Generated Content to Develop the “Digital Service Usage Satisfaction Model.” Information Systems Frontiers, 23(5), 1341–1361. https://doi.org/10.1007/s10796-020-10045-0
Laricchia, Federica. (2023). Global smartphone penetration rate as share of population from 2016 to 2022. Statista. https://www.statista.com/statistics/203734/global-smartphone-penetration-per-capita-since-2005/#:~:text=Smartphone%20penetration%20worldwide%20as%20share%20of%20global%20population%202016%2D2022&text=The%20global%20smartphone%20penetration%20rate,population%20of%20around%207.4%20billion
Lee, T. (2005). The impact of perceptions of interactivity on customer trust and transaction intentions in mobile commerce. In Journal of Electronic Commerce Research (Vol. 6, Issue 3).
Lin, H., Fan, W., & Chau, P. Y. K. (2014). Determinants of users’ continuance of social networking sites: A self-regulation perspective. Information and Management, 51(5), 595–603. https://doi.org/10.1016/j.im.2014.03.010
Liu, J. Y. W., Sorwar, G., Rahman, M. S., & Hoque, M. R. (2023). The role of trust and habit in the adoption of mHealth by older adults in Hong Kong: a healthcare technology service acceptance (HTSA) model. BMC Geriatrics, 23(1). https://doi.org/10.1186/s12877-023-03779-4
Malhotra, N. K. (2020). Naresh K. Malhotra - Marketing research _ an applied orientation (2020) - libgen.li. Pearson.
Malik, A., Suresh, S., & Sharma, S. (2017). Factors influencing consumers’ attitude towards adoption and continuous use of mobile applications: A conceptual model. Procedia Computer Science, 122, 106–113. https://doi.org/10.1016/j.procs.2017.11.348
Manrai, R., Goel, U., & Yadav, P. D. (2021). Factors affecting adoption of digital payments by semi-rural Indian women: extension of UTAUT-2 with self-determination theory and perceived credibility. Aslib Journal of Information Management, 73(6), 814–838. https://doi.org/10.1108/AJIM-12-2020-0396
Maqableh, M., Hmoud, H. Y., Jaradat, M., & Masa’deh, R. (2021). Integrating an information systems success model with perceived privacy, perceived security, and trust: the moderating role of Facebook addiction. Heliyon, 7(9). https://doi.org/10.1016/j.heliyon.2021.e07899
Omoregie, O. K., Addae, J. A., Coffie, S., Ampong, G. O. A., & Ofori, K. S. (2019). Factors influencing consumer loyalty: evidence from the Ghanaian retail banking industry. International Journal of Bank Marketing, 37(3), 798–820. https://doi.org/10.1108/IJBM-04-2018-0099
Ong, M. H. A., Yusri, M. Y., & Ibrahim, N. S. (2023). Use and behavioural intention using digital payment systems among rural residents: Extending the UTAUT-2 model. Technology in Society, 74, 102305. https://doi.org/10.1016/j.techsoc.2023.102305
Sankaran, R., & Chakraborty, S. (2021). Factors Impacting Mobile Banking in India: Empirical Approach Extending UTAUT2 with Perceived Value and Trust. IIM Kozhikode Society and Management Review, 11(1), 7–24. https://doi.org/10.1177/2277975220975219
Shahid, S., Islam, J. U., Malik, S., & Hasan, U. (2022). Examining consumer experience in using m-banking apps: A study of its antecedents and outcomes. Journal of Retailing and Consumer Services, 65. https://doi.org/10.1016/j.jretconser.2021.102870
Sheth, J. N., Newman, B. I., & Gross, B. L. (1991). Why we buy what we buy: A theory of consumption values. Journal of Business Research, 22(2), 159–170. https://doi.org/10.1016/0148-2963(91)90050-8
Shiferaw, K. B., & Mehari, E. A. (2019). Modeling predictors of acceptance and use of electronic medical record system in a resource limited setting: Using modified UTAUT model. Informatics in Medicine Unlocked, 17. https://doi.org/10.1016/j.imu.2019.100182
Shon, T.-H., & Swatman, P. M. C. (1998). Identifying Effectiveness Criteria For Internet Payment Systems. Internet Research : Electronic Networking Application and Policy, 8, 202–218.
Sivathanu, B. (2019). Adoption of digital payment systems in the era of demonetization in India: An empirical study. Journal of Science and Technology Policy Management, 10(1), 143–171. https://doi.org/10.1108/JSTPM-07-2017-0033
Tafradzhiyski, Nayden. (2023). Mobile App Retention. BusinessofApps. https://www.businessofapps.com/guide/mobile-app-retention/
Talwar, S., Dhir, A., Kaur, P., & Mäntymäki, M. (2020). Why do people purchase from online travel agencies (OTAs)? A consumption values perspective. International Journal of Hospitality Management, 88. https://doi.org/10.1016/j.ijhm.2020.102534
Taylor, D. G., & Levin, M. (2014). Predicting mobile app usage for purchasing and information-sharing. International Journal of Retail and Distribution Management, 42(8), 759–774. https://doi.org/10.1108/IJRDM-11-2012-0108
Teo, T. S. H., & Wang, C. (2020). Online service quality and perceived value in mobile government success: An empirical study of mobile police in China. International Journal of Information Management, 52. https://doi.org/10.1016/j.ijinfomgt.2020.102076
Upadhyay, N., Upadhyay, S., Abed, S. S., & Dwivedi, Y. K. (2022). Consumer adoption of mobile payment services during COVID-19: extending meta-UTAUT with perceived severity and self-efficacy. International Journal of Bank Marketing, 40(5), 960–991. https://doi.org/10.1108/IJBM-06-2021-0262
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. In Quarterly (Vol. 27, Issue 3).
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. In Source: MIS Quarterly (Vol. 36, Issue 1).
Wirtz, J., & Lovelock, C. H. (2022). Services marketing : people, technology, strategy (9th ed.).
Xiong, L., Wang, H., & Wang, C. (2022). Predicting mobile government service continuance: A two-stage structural equation modeling-artificial neural network approach. Government Information Quarterly, 39(1). https://doi.org/10.1016/j.giq.2021.101654
Yan, M., Filieri, R., & Gorton, M. (2021). Continuance intention of online technologies: A systematic literature review. In International Journal of Information Management (Vol. 58). Elsevier Ltd. https://doi.org/10.1016/j.ijinfomgt.2021.102315
DOI: https://doi.org/10.51849/j-p3k.v6i2.696
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