The Effect of Performance Expectancy, Effort Expectancy, Social Influences, and Facilitating Conditions on Behavioural Intention among User Telecommunications

Abbad, M. M. (2021). Using the UTAUT model to understand students’ usage of e-learning systems in developing countries. Education and information technologies, 26(6), 7205-7224.
Abu-Taieh, E. M., AlHadid, I., Abu-Tayeh, S., Masa’deh, R. E., Alkhawaldeh, R. S., Khwaldeh, S., & Alrowwad, A. 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), 120.
Ajzen, I. (2018). Consumer attitudes and behaviour. In Handbook of consumer psychology (pp. 529-552). Routledge.
Al-Adwan, A. S., Al-Madadha, A., & Zvirzdinaite, Z. (2018). Modeling students’ readiness to adopt mobile learning in higher education: An empirical study. International Review of Research in Open and Distributed Learning, 19(1).
Al-Debei, M. M., Dwivedi, Y. K., & Hujran, O. (2022). Why would telecom customers continue to use mobile value-added services?. Journal of Innovation & Knowledge, 7(4), 100242.
Almarashdeh, I., Eldaw, K. E., Alsmadi, M., Alghamdi, F., Jaradat, G., Althunibat, A., ... & Mohammad, R. M. A. (2021). The adoption of bitcoins technology: The difference between perceived future expectation and intention to use bitcoins: Does social influence matter?. International Journal of Electrical and Computer Engineering, 11(6), 5351.
Anggraeni, R., Hapsari, R., & Muslim, N. A. (2021). Examining factors influencing consumers intention and usage of digital banking: evidence from Indonesian digital banking customers. APMBA (Asia Pacific Management and Business Application), 9(3), 193-210.
Arslan, I. K. (2020). The importance of creating customer loyalty in achieving sustainable competitive advantage. Eurasian Journal of Business and Management, 8(1), 11-20.
Bajunaied, K., Hussin, N., & Kamarudin, S. (2023). Behavioural intention to adopt FinTech services: An extension of unified theory of acceptance and use of technology. Journal of Open Innovation: Technology, Market, and Complexity, 9(1), 100010.
Banda, L., Mzyece, M., & Mekuria, F. (2022). 5G business models for mobile network operators—A survey. Ieee Access, 10, 94851-94886.
Barakabitze, A. A., Ahmad, A., Mijumbi, R., & Hines, A. (2020). 5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges. Computer Networks, 167, 106984.
Cao, H., Chen, Z., Cheng, M., Zhao, S., Wang, T., & Li, Y. (2021). You recommend, i buy: How and why people engage in instant messaging based social commerce. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW1), 1-25.
Cavaliere, L. P. L., Khan, R., Sundram, S., Jainani, K., Bagale, G., Chakravarthi, M. K., ... & Rajest, S. S. (2021). The Impact of customer relationship management on customer satisfaction and retention: The mediation of service quality. Turkish Journal of Physiotherapy and Rehabilitation, 32(3), 22107-22121.
Chao, C. M. (2019). Factors determining the behavioural intention to use mobile learning: An application and extension of the UTAUT model. Frontiers in psychology, 10, 1652.
Che Hassan, A. H. (2021). An explorative study of Malaysian television content in the mobile environment (Doctoral dissertation, University of Glasgow).
Chowdhury, M. Z., Shahjalal, M., Ahmed, S., & Jang, Y. M. (2020). 6G wireless communication systems: Applications, requirements, technologies, challenges, and research directions. IEEE Open Journal of the Communications Society, 1, 957-975.
Combes, B. (2021, March). The Net Generation: Tech-savvy or lost in virtual space?. In IASL Annual Conference Proceedings.
Constantino, S. M., Sparkman, G., Kraft-Todd, G. T., Bicchieri, C., Centola, D., Shell-Duncan, B., ... & Weber, E. U. (2022). Scaling up change: A critical review and practical guide to harnessing social norms for climate action. Psychological science in the public interest, 23(2), 50-97.
Dadhich, M., Rathore, S., Gyamfi, B. A., Ajibade, S. S. M., & Agozie, D. Q. (2023). Quantifying the Dynamic Factors Influencing New?Age Users’ Adoption of 5G Using TAM and UTAUT Models in Emerging Country: A Multistage PLS?SEM Approach. Education Research International, 2023(1), 5452563.
Dong, X. (2019). Performance expectancy, effort expectancy, social influence, facilitating conditions, and relative advantage affecting chinese customers’ decision to use mobile payment in Bangkok.
Edrak, B., Nor, Z. M., & Shaik, A. R. (2022). The readiness of Malaysia digital economy: a study of three government policies from 1991 to 2020. International Journal of Economics and Finance, 14(12), 1-84.
Eom, S. J., & Lee, J. (2022). Digital government transformation in turbulent times: Responses, challenges, and future direction. Government Information Quarterly, 39(2), 101690.
Ermeç, A. (2022). How effective are social media influencers' recommendations? The effect of message source on purchasing intention and e-word of mouth (WOM) from a para-social interaction perspective. ??letme Ara?t?rmalar? Dergisi, 14(1), 1077-1095.
Fedorko, I., Ba?ik, R., & Gavurova, B. (2021). Effort expectancy and social influence factors as main determinants of performance expectancy using electronic banking. Banks and Bank Systems, 16(2), 27.
Gammoudi, F., Sendi, M., & Omri, M. N. (2022). A survey on social media influence environment and influencers identification. Social Network Analysis and Mining, 12(1), 145.
Gieure, C., del Mar Benavides-Espinosa, M., & Roig-Dobón, S. (2020). The entrepreneurial process: The link between intentions and behaviour. Journal of Business Research, 112, 541-548.
Grande, E. (2019). The new role of the state in telecommunications: an international comparison. In The State in Western Europe (pp. 138-157). Routledge.
Gupta, K., & Arora, N. (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(1), 88-114.
Hadi, N. U., Aslam, N., & Gulzar, A. (2019). Sustainable service quality and customer loyalty: the role of customer satisfaction and switching costs in the Pakistan cellphone industry. Sustainability, 11(8), 2408.
Hair Jr, J. F., Howard, M. C., & Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of business research, 109, 101-110.
Hair, J., & Alamer, A. (2022). Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example. Research Methods in Applied Linguistics, 1(3), 100027.
Hajar, M. A., Alkahtani, A. A., Ibrahim, D. N., Al-Sharafi, M. A., Alkawsi, G., Iahad, N. A., ... & Tiong, S. K. (2022). The effect of value innovation in the superior performance and sustainable growth of telecommunications sector: Mediation effect of customer satisfaction and loyalty. Sustainability, 14(10), 6342.
Hamamurad, Q. H., Jusoh, N. M., & Ujang, U. (2022). Factors affecting stakeholder acceptance of a Malaysian smart city. Smart Cities, 5(4), 1508-1535.
Hassim, A. A., & Shamsudin, M. F. (2023). Determinants of Customer Loyalty in Malaysia’s Telecommunication Industry. Journal of Postgraduate Current Business Research, 8(1), 8-8.
Hijazin, A. F. (2024). Driving digital transformation: Strategies and Innovations in the Jordanian Telecom industry. Doctoral thesis, Universidad de Granada.
Hillyer, R. S. (2021). Staying connected: Effects of online platforms on transnational family relations and social capital. Contemporary Japan, 33(1), 3-23.
Hooda, A., Gupta, P., Jeyaraj, A., Giannakis, M., & Dwivedi, Y. K. (2022). The effects of trust on behavioural intention and use behaviour within e-government contexts. International Journal of Information Management, 67, 102553.
Hoque, R., & Sorwar, G. (2017). Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model. International journal of medical informatics, 101, 75-84.
Ibáñez-Sánchez, S., Flavián, M., Casaló, L. V., & Belanche, D. (2022). Influencers and brands successful collaborations: A mutual reinforcement to promote products and services on social media. Journal of Marketing Communications, 28(5), 469-486.
Isamudin, N. F., & Islam, I. B. (2023). Factors influencing young consumer trust in online purchase decision of luxury perfume in Malaysia: A preliminary qualitative study. International Journal of Economics, Management and Accounting, 31(2), 299-323.
Kiezer, J. (2023). The use of digital channels to serve customers in the telecommunications industry. [Master’s dissertation, University of the Witwatersrand, Johannesburg].
Leong, C. M., Tan, K. L., Puah, C. H., & Chong, S. M. (2021). Predicting mobile network operators users m-payment intention. European Business Review, 33(1).
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.
Morwitz, V. G., & Munz, K. P. (2021). Intentions. Consumer psychology review, 4(1), 26-41.
Ooi, K. B., Lee, V. H., Hew, J. J., Leong, L. Y., Tan, G. W. H., & Lim, A. F. (2023). Social media influencers: an effective marketing approach?. Journal of Business Research, 160, 113773.
Privitera, G. J. (2023). Statistics for the behavioural sciences. Sage publications.
Purohit, S., & Arora, R. (2024). From Word-of-Mouth to AI-Powered Engagement: The Dynamic Evolution of Influencer Marketing in the Digital Era. In Advances in Data Analytics for Influencer Marketing: An Interdisciplinary Approach (pp. 29-40). Cham: Springer Nature Switzerland.
Rahi, S., Othman Mansour, M. M., Alghizzawi, M., & Alnaser, F. M. (2019). Integration of UTAUT model in internet banking adoption context: The mediating role of performance expectancy and effort expectancy. Journal of Research in Interactive Marketing, 13(3), 411-435.
Ramayah, T. J. F. H., Cheah, J., Chuah, F., Ting, H., & Memon, M. A. (2018). Partial least squares structural equation modeling (PLS-SEM) using smartPLS 3.0. An updated guide and practical guide to statistical analysis, 1(1), 1-72.
Reddick, C. G., Enriquez, R., Harris, R. J., & Sharma, B. (2020). Determinants of broadband access and affordability: An analysis of a community survey on the digital divide. Cities, 106, 102904.
Ribeiro, H., Barbosa, B., Moreira, A. C., & Rodrigues, R. (2024). Customer experience, loyalty, and churn in bundled telecommunications services. SAGE Open, 14(2), 21582440241245191.
Sanni, A. M. (2024). Technological Driven Corporate Social Responsibilities of Telecommunication Industry and Business Communities in Kwara (Master's thesis, Kwara State University (Nigeria))
Shahid Iqbal, M., Ul Hassan, M., & Habibah, U. (2018). Impact of self-service technology (SST) service quality on customer loyalty and behavioural intention: The mediating role of customer satisfaction. Cogent Business & Management, 5(1), 1.
Sindakis, S., & Showkat, G. (2024). The digital revolution in India: bridging the gap in rural technology adoption. Journal of Innovation and Entrepreneurship, 13(1), 29.
So?tysik-Piorunkiewicz, A., & Zdonek, I. (2021). How society 5.0 and industry 4.0 ideas shape the open data performance expectancy. Sustainability, 13(2), 917.
Spears, R. (2021). Social influence and group identity. Annual review of psychology, 72(1), 367-390.
Teng, Z., Cai, Y., Gao, Y., Zhang, X., & Li, X. (2022). Factors affecting learners’ adoption of an educational metaverse platform: An empirical study based on an extended UTAUT model. Mobile Information Systems, 2022(1), 5479215.
Trivedi, S. K., Patra, P., Srivastava, P. R., Kumar, A., & Ye, F. (2022). Exploring factors affecting users' behavioural intention to adopt digital technologies: The mediating effect of social influence. IEEE Transactions on Engineering Management.
Tseng, T. H., & Lee, C. T. (2018). Facilitation of consumer loyalty toward branded applications: The dual-route perspective. Telematics and Informatics, 35(5), 1297-1309.
Utomo, P., Kurniasari, F., & Purnamaningsih, P. (2021). The effects of performance expectancy, effort expectancy, facilitating condition, and habit on behaviour intention in using mobile healthcare application. International Journal of Community Service & Engagement, 2(4), 183-197.
Vahdat, A., Alizadeh, A., Quach, S., & Hamelin, N. (2021). Would you like to shop via mobile app technology? The technology acceptance model, social factors and purchase intention. Australasian Marketing Journal, 29(2), 187-197.
Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly, 157-178.
Wang, M., Lin, Y., Tian, Q., & Si, G. (2021). Transfer learning promotes 6G wireless communications: Recent advances and future challenges. IEEE Transactions on Reliability, 70(2), 790-807.
Wang, W. T., Ou, W. M., & Chen, W. Y. (2019). The impact of inertia and user satisfaction on the continuance intentions to use mobile communication applications: A mobile service quality perspective. International Journal of Information Management, 44, 178-193.
Wirtz, J., & Lovelock, C. (2021). Services marketing: People, technology, strategy. World Scientific.
Wirtz, J., & Pitardi, V. (2023). How intelligent automation, service robots, and AI will reshape service products and their delivery. Italian Journal of Marketing, 2023(3), 289-300.
Wu, Y., Nambisan, S., Xiao, J., & Xie, K. (2022). Consumer resource integration and service innovation in social commerce: the role of social media influencers. Journal of the Academy of Marketing Science, 50(3), 429-459.
Zaheer, H., Breyer, Y., Dumay, J., & Enjeti, M. (2019). Straight from the horse's mouth: Founders' perspectives on achieving ‘traction’in digital start-ups. Computers in Human Behaviour, 95, 262-274.

Halil, M. H. Bin, & Ahmad, F. S. (2025). The Effect of Performance Expectancy, Effort Expectancy, Social Influences, and Facilitating Conditions on Behavioural Intention among User Telecommunications. International Journal of Academic Research in Business and Social Sciences, 15(7), 997–1015.

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