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Al-Bashayreh, M., Almajali, D., Altamimi, A., Masa’deh, R., & Al-Okaily, M. (2022). An Empirical Investigation of Reasons Influencing Student Acceptance and Rejection of Mobile Learning Apps Usage. Sustainability (Switzerland), 14(7). https://doi.org/10.3390/su14074325
Al-Rahmi, W. M., Yahaya, N., Aldraiweesh, A. A., Alturki, U., Alamri, M. M., Saud, M. S. B., & Alhamed, O. A. (2019). Big Data Adoption and Knowledge Management Sharing: An Empirical Investigation on Their Adoption and Sustainability as a Purpose of Education. IEEE Access, 7, 47245–47258.
Alsa, A., Sovitriana, R., Ekasari, A., & Endri, E. (2021). Psychological Well-being of Mothers with Autistic Chil-dren. Journal of Educational and Social Research, 11(6), 247-254. https://doi.org/10.36941/jesr-2021-0144
Alhumaid, K., & AAssali, M. (2023). Understanding the role of digital information in enhancing Education in UAE: An investigation of the factors that drive continuous adoption. International Journal of Data and Network Science, 7(2), 513-522.
Ali, S., Lu, W., & Wang, W. (2013). Comparison of entrepreneurial intentions among college students in China and Pakistan. International Journal of Pluralism and Economics Education, 4(1), 51.
Almaiah, M. A., & Al Mulhem, A. (2019). Analysis of the essential factors affecting of Intention to use of mobile learning applications: A comparison between universities adopters and non-adopters. Education and Information Technologies, 24(2), 1433–1468.
Almulla, M. A. (2022). Using Digital Technologies for Testing Online Teaching Skills and Competencies during the COVID-19 Pandemic. Sustainability (Switzerland), 14(9).
Alshboul, Y., & Al. Hamouri, N. (2023). Cybersecurity antecedents of trust: toward OPS adoption in Jordan. International Journal of Information and Decision Sciences, 15(1), 73–93.
Alshurideh, M., & Kurdi, B. (2023). Factors affecting social networks acceptance: An extension to the technology acceptance model using PLS-SEM and Machine Learning Approach. International Journal of Data and Network Science, 7(1), 489–494.
Alturki, U., & Aldraiweesh, A. (2022). Adoption of Google Meet by Postgraduate Students : The Role of Task Technology Fit and the TAM Model. Sustainability, 14(23), 15765.
Bandura, A. (2009). Cultivate Self-Efficacy for Personal and Organizational Effectiveness, in Handbook of Principles of Organizational Behavior. (E.A. Locke). Oxford, United Kingdom: Blackwell.
Berry, L. L., Seiders, K., & Grewal, D. (2002). Understanding service convenience. Journal of Marketing, 66(3), 1–17. https://doi.org/10.1509/jmkg.66.3.1.18505
Buabeng-Andoh, C. (2021). Exploring University Students' Intention to use mobile learning: A research model approach. Education and Information Technologies, 26(1), 241–256.
Chang, C. C., Liang, C., Yan, C. F., & Tseng, J. S. (2013). The Impact of College Students’ Intrinsic and Extrinsic Motivation on Continuance Intention to Use English Mobile Learning Systems. Asia-Pacific Education Researcher, 22(2), 181–192. https://doi.org/10.1007/s40299-012-0011-7
Chang, C. C., Yan, C. F., & Tseng, J. S. (2012). Perceived convenience in an extended technology acceptance model: Mobile technology and English learning for college students. Australasian Journal of Educational Technology, 28(5), 809–826. https://doi.org/10.14742/ajet.818
Cheng, Y, M. (2015). Towards an understanding of the factors affecting m-learning acceptance: Roles of technological characteristics and compatibility. Asia Pacific Management Review, 20(3), 109–119.
Cheng, Y. M. (2014). Exploring the Intention to use mobile learning: the moderating role of personal innovativeness. Journal of Systems and Information Technology, 16(1), 40–61.
de Luna, I. R., Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2019). Mobile payment is not all the same: The adoption of mobile payment systems depends on the technology applied. Technological Forecasting and Social Change, 146(August), 931–944.
Duarte, P., & Pinho, J. C. (2019). A mixed methods UTAUT2-based approach to assess mobile health adoption. A Mixed Methods UTAUT2-Based Approach to Assess Mobile Health Adoption, 102, 140-150.
Endri, E., Syafarudin, A., Santoso, S., Imaningsih, E. S., Suharti, T., & Rinda, R. T. (2020). Consumption behavior patterns of generations Y Halal products in Indonesia. Academy of Entrepreneurship Journal, 26(2), 1-10.
Fatima, J, K., G., P., Khan, M., & Masico, R. D. (2017). Role of innovativeness and self-efficacy in tourism m-learning. Tourism Review, 72(3), 344–355.
Ferreira, M. C., & Dias, T. G. (2015). How to Encourage the Use of Public Transport? A Multiservice Approach Based on Mobile Technologies. In Lecture Notes in Business Information Processing (Vol. 201, pp. 314–325). https://doi.org/10.1007/978-3-319-14980-6_25
Ferreira, M. C., Dias, T. G., & Cunha, J. F. e. (2014). Design and Evaluation of a Mobile Payment System for Public Transport : the MobiPag STCP Prototype. MOBILITY 2014: The Fourth International Conference on Mobile Services, Resources, and Users, c, 71–77.
Fine, M., & Clark, M. (2016). Here to stay or a thing of the past? A study into the perception of quick response codes. Journal of Digital & Social Media Marketing, 3(2), 189–199.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage, 165.
Hapsari, D., Riyanto, S., & Endri, E. (2021). The Role of transformational leadership in building organizational citizen-ship: The civil servants of Indonesia. The Journal of Asian Finance, Economics and Business, 8(2), 595-604. DOI:10.13106/jafeb.2021.vol8.no2.0595
Holdack, E., Lurie-Stoyanov, K., & Fromme, H. F. (2022). The role of perceived enjoyment and perceived informativeness in assessing the acceptance of AR wearables. Journal of Retailing and Consumer Services, 65, 102259.
Huang, R. T., & Yu, C. L. (2022). Exploring online green behavior among college students in Taiwan: A moderated mediation model of perceived compatibility. Multimedia Tools and Applications, 81, 421–436.
Hubert, M., Blut, M., Brock, C., Wenjiao Zhang, R., Koch, V., & Riedl, R. (2019). The influence of acceptance and adoption drivers on smart home usage. European Journal of Marketing, 53(6), 1073–1098.
Husainah, N., Paulina, J., Misrofingah, M., Pradipta, I., Maulana, A., & Fahlevi, M. (2023). Determining factors of digital wallet actual usage: A new model to identify changes in consumer behavior. International Journal of Data and Network Science, 7(2), 933-940.
Indrasari, A., Nadjmie, N & Endri, E. (2022). Determinants of satisfaction and loyalty of e-banking users during the COVID-19 pandemic. International Journal of Data and Network Science, 6(2), 497-508. DOI: 10.5267/j.ijdns.2021.12.004
Ismail, H. A. (2016). Intention to Use Smartphone Through Perceived Compatibility, Perceived Usefulness, and Perceived Ease of Use. JDM (Jurnal Dinamika Manajemen), 7(1), 1–10.
Jasin, M. (2022). The effect of perceived ease of use on behavior intention through perceived enjoyment as an intervening variable on digital payment in the digital era. Journal of Industrial Engineering & Management Research, 3(5), 127–133.
Kanchanatanee, K., Suwanno, N., & Jarernvongrayab, A. (2014). Effects of attitude toward using, perceived usefulness, perceived ease of use, and perceived compatibility on Intention to use E-marketing. Journal of Management Research, 6(3), 1.
Kariapper, R. (2021). Application of technology acceptance model (TAM) in consumer behavioral intention towards online shopping. Systematic Reviews in Pharmacy, 12(3), 322-332.
Kim, T., & Chiu, W. (2019). Consumer acceptance of sports wearable technology: the role of technology readiness. International Journal of Sports Marketing and Sponsorship, 20(1), 109–126.
Kim, Y. J., Chun, J. U., & Song, J. (2009). Investigating the role of attitude in technology acceptance from an attitude strength perspective. International Journal of Information Management, 29(1), 67–77. https://doi.org/10.1016/j.ijinfomgt.2008.01.011
Kowalczuk, P. (2018). Consumer acceptance of smart speakers: a mixed methods approach. Journal of Research in Interactive Marketing, 12(4), 418–431.
Krishnan, V. V., & Koshy, B. I. (2021). Evaluating the factors influencing purchase intention of electric vehicles in households owning conventional vehicles. Case Studies on Transport Policy, 9(3), 1122–1129.
Kumar, J. A., Bervell, B., Annamalai, N., & Osman, S. (2020). Behavioral Intention to use mobile learning: Evaluating the role of Self-efficacy, subjective norm, and WhatsApp use habit. IEEE Access, 8, 208058–208074. https://doi.org/10.1109/ACCESS.2020.3037925
Kurniasih, D., Setyoko, P. I., & Saputra, A. S. (2022). The Influence of Digital Electronic Performance, Competence, and Motivation on Government Organization Employee's Performance During the Digital Era. Journal of Industrial Engineering & Management Research, 3(5), 86–99.
Lerner, T. (2013). Mobile payment. Wiesbaden: Springer.
Li, J., Ma, Q., Chan, A. H. S., & Man, S. S. (2019). Health monitoring through wearable technologies for older adults: Smart wearables acceptance model. Applied Ergonomics, 75, 162–169.
Liao, S., Hong, J. C., Wen, M. H., Pan, Y. C., & Wu, Y. W. (2018). Applying Technology Acceptance Model (TAM) to explore Users’ Behavioral Intention to Adopt a Performance Assessment System for E-book Production. Eurasia Journal of Mathematics, Science and Technology Education, 14(10), 1–12. https://doi.org/10.29333/ejmste/93575
Liébana-Cabanillas, F., Molinillo, S., & Ruiz-Montañez, M. (2019). To use or not to use, that is the question: Analysis of the determining factors for using NFC mobile payment systems in public transportation. Technological Forecasting and Social Change, 139(March), 266–276. https://doi.org/10.1016/j.techfore.2018.11.012
Liébana-Cabanillas, F., Singh, N., Kalinic, Z., & Carvajal-Trujillo, E. (2021). Examining the determinants of continuance intention to use and the moderating effect of the gender and age of users of NFC mobile payments: A multi-analytical approach. Information Technology and Management, 33, 133-161.
Liñán, F., & Chen, Y. (2006). Testing the Entrepreneurial Intention Model on a Two-country Sample. Documents de Treball, 06/7, 1–37.
Lu, L. (2019). Mobile Payments—Why They Are So Successful? Open Journal of Business and Management, 07(03), 1131–1143. https://doi.org/10.4236/ojbm.2019.73078
Luik, P., & Taimalu, M. (2021). Predicting the Intention to use technology in Education among student teachers: A path analysis. Education Sciences, 11(9). https://doi.org/10.3390/educsci11090564
Luszczynska, A., & Schwarzer, R. (2015). Social cognitive theory. In: M. Conner & P. Norman (Eds.), Predicting and changing health behaviour: Research and practice with social cognition models (pp. 225–251). Open University Press.
Mansur, S., Saragih, N., Susilawati, S., Udud, Y., & Endri, E. (2021). Consumer Brand Engagement and Brand Communi-cations on Destination Brand Equity Maritime Tourism in Indonesia. Journal of Environmental Management and Tour-ism, 14(4), 1032-1042. https://doi.org/10.14505//jemt.v12.4(52).16
Mastenbroek, N. J. J. M., Jaarsma, A. D. C., Scherpbier, A. J. J. A., Van Beukelen, P., & Demerouti, E. (2014). The Role of Personal Resources in Explaining Well-Being and Performance: A Study among Young Veterinary Professionals. European Journal of Work and Organizational Psychology, 23(2), 190–202.
Moghavvemi, S., Salleh, N. A. M., & Standing, C. (2016). Entrepreneurs adoption of information system innovation: The impact of individual perception and exogenous factors on entrepreneurs behavior. Internet Research, 26(5), 1181–1208.
Mohamad, M. A., Hanafiah, M. H., & Radzi, S. M. (2021). Understanding tourist mobile hotel booking behaviour: Incorporating perceived enjoyment and perceived price value in the modified Technology Acceptance Model. Tourism & Management Studies, 17(1), 19-30.
Najib, M., Ermawati, W.J., Fahma, F., Endri, E., & Suhartanto, D. (2021). FinTech in the Small Food Business and Its Re-lation with Open Innovation. Journal of Open Innovation: Technology, Market, and Complexity, 7(1), 88. https://doi.org/10.3390/joitmc7010088
Ngubelanga, A., & Duffett, R. (2021). Modeling mobile commerce applications’ antecedents of customer satisfaction among millennials: An extended tam perspective. Sustainability (Switzerland), 13(11), 1–29. https://doi.org/10.3390/su13115973
Nugroho, A., Siagian, H., Oktavio, A., & Tarigan, Z. J. H. (2022). The effect of e-WOM on customer satisfaction through ease of use, perceived usefulness and ewallet payment. International Journal of Data and Network Science, 7, 153–162.
Pahala, Y., Widodo, S., Kadarwati., Azhari, M., Muliyati., Lestari, N.I., Madjid, S.A., Sidjabat, S., Limakrisna, N., & En-dri, E. (2021). The effects of service operation engineering and green marketing on consumer buying interest. Uncer-tain Supply Chain Management, 9(3), 603–608. https://doi: 10.5267/j.uscm.2021.5.011
Park, S. Y., Nam, M. W., & Cha, S. B. (2012). University students' behavioral Intention to use mobile learning: Evaluating the technology acceptance model. British Journal of Educational Technology, 43(4), 592–605. https://doi.org/10.1111/j.1467-8535.2011.01229.x
Patel, V., Das, K., Chhatterjee, R., & Shukla, Y. (2020). Does the interface quality of mobile shopping apps affect purchase intention? An empirical study. Australasian Marketing Journal, 28(4), 300-309.
Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., & Pahnila, S. (2004). Consumer acceptance of online banking: An extension of the technology acceptance model. Internet Research, 14(3), 224–235.
Polatoglu, V. N., & Ekin, S. (2001). An empirical investigation of the Turkish consumers’ acceptance of Internet banking services. International Journal of Bank Marketing, 19(4), 156–165.
Rahmi, B. A. K. I., Birgoren, B., & Aktepe, A. (2018). A meta analysis of factors affecting perceived usefulness and perceived ease of use in the adoption of e-learning systems. Turkish Online Journal of Distance Education, 19(4), 4-42.
Ramos-de-Luna, I., Montoro-Ríos, F., Liébana-Cabanillas, F., & Luna, J. G. D. (2017). NFC technology acceptance for mobile payments: A Brazilian Perspective. Review of Business Management, 19(63), 82–103.
Ratten, V. (2014). A US-China comparative study of cloud computing adoption behavior: The role of consumer innovativeness, performance expectations and social influence. Journal of Entrepreneurship in Emerging Economies, 6(1), 53–71.
Ricardianto, P., Christy, E., Pahala, Y., Abdurachman, E., Soekirman, A., Purba, O., Prasetiawan, S., Wiguna, E., Wiba-wanti, A & Endri, E. (2023). Digitalization and logistics service quality: Evidence from Indonesia national shipping companies. International Journal of Data and Network Science, 7(2), 781-790. DOI: 10.5267/j.ijdns.2023.1.011
Ricardianto, P., Wibowo, H., Agusinta, L., Abdurachman, E., Suryobuwono, A., Fachrial, P., Setiawan, A., Rafi, S., Maemunah, S & Endri, E. (2022). Determinants of airport train operational performance. International Journal of Da-ta and Network Science, 6(1), 91-98. doi: 10.5267/j.ijdns.2021.9.019.
Rini, R. S., & Wijayanti, M. (2018). Frontliner Services In PT KAI Commuter Jabodetabek New Klender Station, East Jakarta. SCIENTIFIC JOURNAL OF REFLECTION: Economics, Accounting, Management and Business, 1(3), 91–100.
Riyanto, S., Endri E., & Herlisha, N. (2021). Effect of work motivation and job satisfaction on employee performance: Mediating role of employee engagement. Problems and Perspectives in Management, 19(3), 162-174. doi:10.21511/ppm.19(3).2021.14
Schmidt, D. A., Baran, E., Thompson, A. D., Mishra, P., Koehler, M. J., & Shin, T. S. (2009). Technological pedagogical content knowledge (Track): The development and validation of an assessment instrument for preservice teachers. Journal of Research on Technology in Education, 42(2), 123–149. https://doi.org/10.1080/15391523.2009.10782544
Segal, G., Borgia, D., & Schoenfeld, J. (2005). The motivation to become an entrepreneur. International Journal of Entrepreneurial Behaviour and Research, 11(1), 42–57.
Setiawan, P. Y., & Widanta, A. B. P. (2021). The effect of trust on travel agent online use: Application of the technology acceptance model. International Journal of Data and Network Science, 5(2), 173–182.
Sharma, P. K., & Kumra, R. (2022). Relationship between mindfulness, depression, anxiety, and stress: Mediating role of self-efficacy. Personality and Individual Differences, 186, 111363.
Siagian, H., Tarigan, Z., Basana, S., & Basuki, R. (2022a). The effect of perceived security, perceived ease of use, and perceived usefulness on consumer behavioral intention through trust in digital payment platform. International Journal of Data and Network Science, 6(3), 861-874.
Siagian, H., Tarigan, Z., & Ubud, S. (2022b). The effect of electronic word of mouth on online customer loyalty through perceived ease of use and information sharing. International Journal of Data and Network Science, 6(4), 1155-1168.
Simanjuntak, M., Mansur, S., Saragih, N., Hayati, S & Endri, E. (2022). The role of quality and trust on using website news. International Journal of Data and Network Science, 6(3), 683-692. DOI: 10.5267/j.ijdns.2022.4.004
Singh, N., & Sinha, N. (2020). How perceived trust mediates merchant's Intention to use a mobile wallet technology. Journal of Retailing and Consumer Services, 52, 101894.
So, K. K. F., Kim, H., & Oh, H. (2021). What makes Airbnb experiences enjoyable? The effects of environmental stimuli on perceived enjoyment and repurchase intention. Journal of Travel Research, 60(5), 1018-1038.
Sophea, D., Sungsuwan, T., & Viriyasuebphong, P. (2022). Factors influencing students' behavioral Intention on using mobile learning (M-learning) in tourism and hospitality major in Phnom Penh, Cambodia. Current Applied Science and Technology, 22(2).
Stal, J., & Paliwoda-Pękosz, G. (2019). Mobile technology acceptance model: An empirical study on users’ acceptance and usage of mobile technology for knowledge providing. Lecture Notes in Business Information Processing, 341, 547–559. https://doi.org/10.1007/978-3-030-11395-7_42
Taufik, N., & Hanafiah, M. H. (2019). Airport passengers’ adoption behaviour towards self-check-in Kiosk Services: the roles of perceived ease of use, perceived usefulness and need for human interaction. Heliyon, 5(12), e02960.
Tong, X. (2010). A cross‐national investigation of an extended technology acceptance model in the online shopping context. International Journal of Retail & Distribution Management., 38(10), 742–759.
Ulkhaq, M. M., Widodo, A. K., Izati, N., Santoso, S. Y., Sutrimo, W. H. W. M., & Akshinta, P. Y. (2019). Assessing the operations of commuter rail: A case study in KRL commuter line of Jakarta Metropolitan Area. MATEC Web of Conferences, 272, 01034.
Venkatesh, V., & Davis, F. D. (2000). Theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186–204.
Virgiawan, A. R., Riyanto, S., & Endri, E. (2021). Organizational Culture as a Mediator Motivation and Transformational Leadership on Employee Performance. Academic Journal of Interdisciplinary Studies, 10(3), 67-79.https://doi.org/10.36941/ajis-2021-0065
Wang, Y., & Hazen, B. T. (2016). Consumer product knowledge and Intention to purchase remanufactured products. International Journal of Production Economics, 181, 460–469. https://doi.org/10.1016/j.ijpe.2015.08.031
Wahyuni, T., Ricardianto, P., Harits, A., Thamrin, M., Liana, E., Anggara, D., Abidin, Z., Setyowati, T., Sugiyanto, S & Endri, E. (2022). The implementation of minimum service standards on ship operational performance: Empirical evi-dence from Indonesia.Uncertain Supply Chain Management, 10(4), 1297-1304. DOI: 10.5267/j.uscm.2022.7.010
Wardana, A. A., Saputro, E. P., Wahyuddin, M., & Abas, N. I. (2022). The effect of convenience, perceived ease of use, and perceived usefulness on Intention to use e-wallet. International Conference on Economics and Business Studies (ICOEBS 2022), Atlantis Press.
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. The Journal of Asian Finance, Economics, and Business, 8(2), 1189-1200.
Yang, H., Luo, Y., Qiu, Y., Zou, J., Masukujjaman, M., & Ibrahim, A. M. (2023). Modeling the Enablers of Consumers’ E-Shopping Behavior: A Multi-Analytic Approach. Sustainability, 15(8), 6564.
Yap, Y. Y., Tan, S. H., & Choon, S. W. (2022). Elderly's Intention to use technologies: A systematic literature review. Heliyon, 8(1). https://doi.org/10.1016/j.heliyon.2022.e08765
Yoon, C., & Kim, S. (2007). Convenience and TAM in a ubiquitous computing environment: The case of wireless LAN. Electronic Commerce Research and Applications, 6(1), 102–112. https://doi.org/10.1016/j.elerap.2006.06.009
Yusoff, Y. M., Muhammad, Z., Zahari, M. S. M., Pasah, E. S., & Robert, E. (2009). Individual differences, perceived ease of use, and perceived usefulness in e-library usage. Computer and Information Science, 2(1), 76-83.
Zhang, L., Nyheim, P., & Mattila, A. S. (2014). The effect of power and gender on technology acceptance. Journal of Hospitality and Tourism Technology, 5(3), 299–314.
Zuniarti, I., Yuniasih, I., Martana, I. ., Setyaningsih, E. D., Susilowati, I. H., Pramularso, E. Y., & Astuti, D. (2021). The effect of the presence of e-commerce on consumer purchasing decisions. International Journal of Data and Network Science, 5(3), 479–484.