Use and behavioural intention using digital payment systems among rural residents: Extending the UTAUT-2 model

Technology in Society - Tập 74 - Trang 102305 - 2023
Mohd Hanafi Azman Ong1, Muhammad Yassar Yusri1, Nur Syafikah Ibrahim1
1College of Computing, Informatics and Media, Universiti Teknologi MARA Cawangan Johor, Kampus Segamat, 85000, Segamat, Johor, Malaysia

Tài liệu tham khảo

Alshahrani, 2023, The adoption of the e-learning portfolio management system in the Technical and Vocational Training Corporation (TVTC) in Saudi Arabia, International Journal of Information Management Data Insights, 3, 10.1016/j.jjimei.2022.100148 Upadhyay, 2022, Consumer adoption of mobile payment services during COVID-19: extending meta-UTAUT with perceived severity and self-efficacy, Int. J. Bank Market., 40, 960, 10.1108/IJBM-06-2021-0262 Bommer, 2022, A meta-analysis of eWallet adoption using the UTAUT model, Int. J. Bank Market., 40, 791, 10.1108/IJBM-06-2021-0258 Naeem, 2020, Developing the antecedents of social influence for Internet banking adoption through social networking platforms: evidence from conventional and Islamic banks, Asia Pac. J. Mark. Logist., 33, 185, 10.1108/APJML-07-2019-0467 Manrai, 2021, Factors affecting adoption of digital payments by semi-rural Indian women: extension of UTAUT-2 with self-determination theory and perceived credibility, Aslib J. Inf. Manag., 73, 814, 10.1108/AJIM-12-2020-0396 Arjun, 2021, Developing banking intelligence in emerging markets: systematic review and agenda, International Journal of Information Management Data Insights, 1 Auroza, 2021, Why people use digital payments: evidence from micro data in Peru, Latin American Journal of Central Banking, 2 Frączek, 2021, Financial inclusion as an important factor influencing digital payments in passenger transport: a case study of EU countries, Research in Transportation Business & Management, 41, 10.1016/j.rtbm.2021.100691 Capgemini Internet Users Survey 2018, 2018, 1823 Balakrishnan, 2021, Drivers and inhibitors for digital payment adoption using the Cashless Society Readiness-Adoption model in Malaysia, Technol. Soc., 65, 10.1016/j.techsoc.2021.101554 The Star Statista Venkatesh, 2012, Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology, MIS Q., 1, 157, 10.2307/41410412 Sitar-Taut, 2021, Mobile learning acceptance and use in higher education during social distancing circumstances: an expansion and customization of UTAUT2, Online Inf. Rev., 45, 1000, 10.1108/OIR-01-2021-0017 Yeoh, 2022, Exploring home health-care robots' adoption in Malaysia: extending the UTAUT model, Int. J. Pharmaceut. Healthc. Market., 16, 392, 10.1108/IJPHM-11-2020-0099 Singh, 2018, Predicting the intention to use mobile banking in India, Int. J. Bank Market., 36, 357, 10.1108/IJBM-12-2016-0186 Chaudhary, 2019, Usability, security and trust in password managers: a quest for user-centric properties and features, Computer Science Review, 33, 69, 10.1016/j.cosrev.2019.03.002 Berraies, 2017, Identifying the effects of perceived values of mobile banking applications on customers: comparative study between baby boomers, generation X and generation Y, Int. J. Bank Market., 35, 1018, 10.1108/IJBM-09-2016-0137 Balapour, 2020, Mobile application security: role of perceived privacy as the predictor of security perceptions, Int. J. Inf. Manag., 52, 10.1016/j.ijinfomgt.2019.102063 Sivathanu, 2019, Adoption of digital payment systems in the era of demonetization in India: an empirical study, Journal of Science and Technology Policy Management, 10, 143, 10.1108/JSTPM-07-2017-0033 Kaur, 2020, Role of perceived risk in online banking and its impact on behavioral intention: trust as a moderator, Journal of Asia Business Studies, 15, 1, 10.1108/JABS-08-2019-0252 Owusu Kwateng, 2019, Acceptance and use of mobile banking: an application of UTAUT2, J. Enterprise Inf. Manag., 32, 118, 10.1108/JEIM-03-2018-0055 Gupta, 2019, Factors influencing adoption of payments banks by Indian customers: extending UTAUT with PC, Journal of Asia Business Studies, 13, 173, 10.1108/JABS-07-2017-0111 Carlson, 2019, Feel the VIBE: examining value-in-thebrand-page-experience and its impact on satisfaction and customer engagement behaviours in mobile social media, J. Retailing Consum. Serv., 46, 149, 10.1016/j.jretconser.2017.10.002 Karjaluoto, 2021, Consumption values and mobile banking services: understanding the urban–rural dichotomy in a developing economy, Int. J. Bank Market., 39, 272, 10.1108/IJBM-03-2020-0129 Tran, 2021, Co-creating blockchain adoption: theory, practice and impact on usage behavior, Asia Pac. J. Mark. Logist., 33, 1667, 10.1108/APJML-08-2020-0609 Raman, 2021, To continue or not to continue: a structural analysis of antecedents of mobile payment systems in India, Int. J. Bank Market., 39, 242, 10.1108/IJBM-04-2020-0167 Ramos, 2022, Factors influencing customers' continuance usage intention of food delivery apps during COVID-19 quarantine in Mexico, Br. Food J., 124, 833, 10.1108/BFJ-01-2021-0020 Alowayr, 2022, Determinants of mobile learning adoption: extending the unified theory of acceptance and use of technology (UTAUT), International Journal of Information and Learning Technology, 39, 1, 10.1108/IJILT-05-2021-0070 Zhang, 2022, A model about students' behavioural intention to use university WeChat Library, Digital Library Perspectives, 38, 429, 10.1108/DLP-03-2021-0026 Hanif, 2022, What attracts me or prevents me from mobile shopping? An adapted UTAUT2 model empirical research on behavioral intentions of aspirant young consumers in Pakistan, Asia Pac. J. Mark. Logist., 34, 1031, 10.1108/APJML-09-2020-0659 Yang, 2021, Interactive service quality on the acceptance of self-service ordering systems for the restaurant industry, Journal of Hospitality and Tourism Technology, 12, 271, 10.1108/JHTT-02-2020-0041 Rahman, 2022, Teenagers' behavioural intention towards wearable technologies and intention to recommend others: an empirical study in Bangladesh, Journal of Science and Technology Policy Management, 13, 110, 10.1108/JSTPM-05-2020-0088 Alalwan, 2017, Factors influencing adoption of mobile banking by Jordanian bank customers: extending UTAUT-2 with trust, Int. J. Inf. Manag., 37, 99, 10.1016/j.ijinfomgt.2017.01.002 Musa, 2015, Factors influence consumers' adoption of mobile payment devices in Qatar, Int. J. Mobile Commun., 13, 670, 10.1504/IJMC.2015.072100 Rahi, 2022, Assessing individual behavior towards adoption of telemedicine application during COVID-19 pandemic: evidence from emerging market, Libr. Hi Technol., 40, 394, 10.1108/LHT-01-2021-0030 Gupta, 2020, Investigating consumer intention to accept mobile payment systems through unified theory of acceptance model: an Indian perspective, South Asian Journal of Business Studies, 9, 88, 10.1108/SAJBS-03-2019-0037 Odei-Appiah, 2022, Fintech use, digital divide and financial inclusion, Digital Policy, Regulation and Governance, 24, 435, 10.1108/DPRG-09-2021-0111 Kar, 2021, What affects usage satisfaction in mobile payments? Modelling user generated content to develop the digital service usage satisfaction model, Inf. Syst. Front, 23, 1341, 10.1007/s10796-020-10045-0 Hafez, 2022, Examining the effect of consumption values on mobile banking adoption in Bangladesh: the moderating role of perceived security, Kybernates, 10.1108/K-03-2022-0333 Al-Okaily, 2022, Does financial awareness increase the acceptance rate for financial inclusion? An empirical examination in the era of digital transformation, Kybernetes, 10.1108/K-08-2021-0710 Sánchez-Torres, 2018, E-banking in Colombia: factors favouring its acceptance, online trust and government support, Int. J. Bank Market., 36, 170, 10.1108/IJBM-10-2016-0145 Talwar, 2020, Why do people purchase from online travel agencies (OTAs)? A consumption values perspective, Int. J. Hospit. Manag., 88, 10.1016/j.ijhm.2020.102534 Ray, 2021, Exploring values affecting e-learning adoption from the user-generated-content: a consumption-value-theory perspective, J. Strat. Market., 29, 430, 10.1080/0965254X.2020.1749875 Amponsah, 2022, Improving the financial security of national health insurance using Cloud-based blockchain technology application, International Journal of Information Management Data Insights, 2, 10.1016/j.jjimei.2022.100081 Hasan, 2022, Technology attachment, e-Attitude, perceived value, and behavioral intentions towards Uber-ridesharing services: the role of hedonic, utilitarian, epistemic, and symbolic value, Journal of Contemporary Marketing Science, 5, 239, 10.1108/JCMARS-01-2022-0002 Zolkepli, 2021, Mobile consumer behaviour on apps usage: the effects of perceived values, rating, and cost, J. Market. Commun., 27, 571, 10.1080/13527266.2020.1749108 Johor State Planning Division (2021) available at: https://bpen.johor.gov.my/index.php/data-asas-ekonomi-johor/. Baptista, 2015, Understanding mobile banking: the unified theory of acceptance and use of technology combined with cultural moderators, Comput. Hum. Behav., 50, 418, 10.1016/j.chb.2015.04.024 Churchill, 1984, Research design effects on the reliability of rating scales: a Metanalyses, J. Market. Res., 21, 360, 10.1177/002224378402100402 Finstad, 2010, Response interpolation and scale sensitivity: evidence against 5-point scales, Journal of Usability Studies, 5, 104 Creswell, 2018, Research designs qualitative, quantitative, and mixed methods approaches George, 2010 Lewis, 2013, An analysis of survey reporting in the imaging professions: is the issue of non-response bias being adequately addressed?, Radiography, 19, 240, 10.1016/j.radi.2013.02.003 Armstrong, 1977, Estimating non-response bias in mail surveys, J. Market. Res., 14, 396, 10.1177/002224377701400320 Podsakoff, 2003, Common method biases in behavioral research: a critical review of the literature and recommended remedies, J. Appl. Psychol., 88, 879, 10.1037/0021-9010.88.5.879 MacKenzie, 2012, Common method bias in marketing: causes, mechanisms, and procedural remedies, J. Retailing, 88, 542, 10.1016/j.jretai.2012.08.001 Hair, 2011, PLS-SEM: indeed, a silver bullet, J. Market. Theor. Pract., 19, 139, 10.2753/MTP1069-6679190202 Henseler, 2010, On the convergence of the partial least square path modelling algorithm, Comput. Stat., 25, 107, 10.1007/s00180-009-0164-x Ringle, 2015 Hair, 2017 Henseler, 2015, A new criterion for assessing discriminant validity in variance-based structural equation modelling, J. Acad. Market. Sci., 43, 115, 10.1007/s11747-014-0403-8 Kock, 2015, Common method bias in PLS-SEM: a full collinearity assessment approach, Int. J. e-Collaboration, 11, 1, 10.4018/ijec.2015100101 Mamonov, 2021, Unlocking the smart home: exploring key factors affecting the smart lock adoption intention, Inf. Technol. People, 34, 835, 10.1108/ITP-07-2019-0357 Chopdar, 2022, Exploring factors influencing bicycle-sharing adoption in India: a UTAUT 2 based mixed-method approach, Int. J. Emerg. Mark., 10.1108/IJOEM-06-2021-0862 García-Milon, 2021, Tourist purchases in a destination: what leads them to seek information from digital sources?, Eur. J. Manag. Bus. Econ., 30, 243, 10.1108/EJMBE-09-2019-0153 Ozturk, 2021, Factors affecting attendees continued use of mobile event applications, Journal of Hospitality and Tourism Technology, 12, 307, 10.1108/JHTT-03-2020-0058 Addy, 2022, Predicting the adoption of e-procurement in construction project delivery in Sub-Saharan Africa: an application of UTAUT2, Construct. Innovat., 10.1108/CI-09-2021-0174 Damberg, 2022, Predicting future use intention of fitness apps among fitness app users in the United Kingdom: the role of health consciousness, Int. J. Sports Mark. Spons., 23, 369 Rudhumbu, 2022, Applying the UTAUT2 to predict the acceptance of blended learning by university students, Asian Assoc. Open Univ. J., 17, 15, 10.1108/AAOUJ-08-2021-0084