References
Al-Maatouk, Q., Othman, M. S., Aldraiweesh, A., Alturki, U., Al-Rahmi, W. M., & Aljeraiwi, A. A. (2020). Task-technology fit and technology acceptance model application to structure and evaluate the adoption of social media in academia. IEEE Access, 8, 78427-78440. https://doi.org/10.1109/ACCESS.2020.2990420
Search via ReFindit
Al-Rahmi, A. M., Al-Rahmi, W. M., Alturki, U., Aldraiweesh, A., Almutairy, S., & Al-Adwan, A. S. (2021). Exploring the factors affecting mobile learning for sustainability in higher education. Sustainability, 13(14), 7893. https://doi.org/10.3390/su13147893
Search via ReFindit
Al-Rahmi, A. M., Al-Rahmi, W. M., Alturki, U., Aldraiweesh, A., Almutairy, S., & Al-Adwan, A. S. (2022). Acceptance of mobile technologies and M-learning by university students: An empirical investigation in higher education. Education and Information Technologies, 1-22. https://doi.org/10.1007/s10639-022-10934-8
Search via ReFindit
Al-Rahmi, A. M., Shamsuddin, A., Alturki, U., Aldraiweesh, A., Yusof, F. M., Al-Rahmi, W. M., & Aljeraiwi, A. A. (2021b). The influence of information system success and technology acceptance model on social media factors in education. Sustainability, 13(14), 7770. https://doi.org/10.3390/su13147770
Search via ReFindit
Al-Rahmi, W. M., & Alkhalaf, S. (2021c). An empirical investigation of adoption Big Data in higher education sustainability. Entrepreneurship and Sustainability Issues, 9(2), 108. https://doi.org/10.9770/jesi.2021.9.2(7)
Search via ReFindit
Al-Rahmi, W. M., Yahaya, N., Alturki, U., Alrobai, A., Aldraiweesh, A. A., Omar Alsayed, A., & Kamin, Y. B. (2020a). Social media–based collaborative learning: The effect on learning success with the moderating role of cyberstalking and cyberbullying. Interactive Learning Environments, 1-14. https://doi.org/10.1080/10494820.2020.1728342
Search via ReFindit
Alamri, M. M., Almaiah, M. A., & Al-Rahmi, W. M. (2020a). The role of compatibility and task-technology fit (TTF): On social networking applications (SNAs) usage as sustainability in higher education. IEEE Access, 8, 161668-161681. https://doi.org/10.1109/ACCESS.2020.3021944
Search via ReFindit
Alamri, M. M., Almaiah, M. A., & Al-Rahmi, W. M. (2020b). Social media applications affecting students’ academic performance: a model developed for sustainability in higher education. Sustainability, 12(16), 6471. https://doi.org/10.3390/su12166471
Search via ReFindit
Alhussain, T., Al-Rahmi, W. M., & Othman, M. S. (2020). Students’ perceptions of social networks platforms use in higher education: A qualitative research. Int. J. Adv. Trends Comput. Sci. Eng, 9. https://doi.org/10.30534/ijatcse/2020/16932020
Search via ReFindit
Alyoussef, I. Y., Alamri, M. M., & Al-Rahmi, W. M. (2019). Social media use (SMU) for teaching and learning in Saudi Arabia. Int. J. Recent Technol. Eng. (IJRTE), 8, 942-946. https://doi.org/10.35940/ijrte.d7569.118419
Search via ReFindit
Bagozzi, R. P., Yi, Y., & Nassen, K. D. (1998). Representation of measurement error in marketing variables: Review of approaches and extension to three-facet designs. Journal of Econometrics, 89(1-2), 393-421. 00068-2 https://doi.org/10.1016/S0304-4076(98)
Search via ReFindit
Bansah, A. K., & Agyei, D. D. (2022). Perceived convenience, usefulness, effectiveness and user acceptance of information technology: evaluating students’ experiences of a Learning Management System. Technology, Pedagogy and Education, 1-19. https://doi.org/10.1080/1475939X.2022.2027267
Search via ReFindit
Batko, K., & Ślęzak, A. (2022). The use of Big Data Analytics in healthcare. Journal of Big Data, 9(1), 1-24. https://doi.org/10.1186/s40537-021-00553-4
Search via ReFindit
Behera, A. K., Mohapatra, S., Mahapatra, R., & Das, H. (2022). Effect of Big Data Analytics in Reverse Supply Chain: An Indian Context. International Journal of Information Systems and Supply Chain Management (IJISSCM), 15(1), 1-14. https://doi.org/10.4018/ijisscm.287128
Search via ReFindit
Brossard, P. Y., Minvielle, E., & Sicotte, C. (2022). The path from big data analytics capabilities to value in hospitals: a scoping review. BMC Health Services Research, 22(1), 1-16. https://doi.org/10.1186/s12913-021-07332-0
Search via ReFindit
Cabrera-Sánchez, J. P., Villarejo-Ramos, Á. F., Liébana-Cabanillas, F., & Shaikh, A. A. (2021). Identifying relevant segments of AI applications adopters–Expanding the UTAUT2’s variables. Telematics and Informatics, 58, 101529. https://doi.org/10.1016/j.tele.2020.101529
Search via ReFindit
Chatterjee, S., Chaudhuri, R., & Vrontis, D. (2022). Big data analytics in strategic sales performance: mediating role of CRM capability and moderating role of leadership support. EuroMed Journal of Business. https://doi.org/10.1108/emjb-07-2021-0105
Search via ReFindit
Chauhan, S., & Jaiswal, M. (2016). Determinants of acceptance of ERP software training in business schools: Empirical investigation using UTAUT model. The International Journal of Management Education, 14(3), 248-262. https://doi.org/10.1016/J.IJME.2016.05.005
Search via ReFindit
Chen, C., Choi, H. S., & Ractham, P. (2022). Data, attitudinal and organizational determinants of big data analytics systems use. Cogent Business & Management, 9(1), 2043535. https://doi.org/10.1080/23311975.2022.2043535
Search via ReFindit
Cheng, C., Ebrahimi, O. V., & Luk, J. W. (2022). Heterogeneity of Prevalence of Social Media Addiction Across Multiple Classification Schemes: Latent Profile Analysis. Journal of medical Internet research, 24(1), e27000. https://doi.org/10.2196/27000
Search via ReFindit
D’Hauwers, R., & Walravens, N. (2022). Do you trust me? Value and governance in data sharing business models. In Proceedings of Sixth International Congress on Information and Communication Technology (pp. 217-225). Springer, Singapore. https://doi.org/10.1007/978-981-16-2377-6_22
Search via ReFindit
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340. https://doi.org/10.2307/249008
Search via ReFindit
Di Vaio, A., Hassan, R., & Alavoine, C. (2022). Data intelligence and analytics: A bibliometric analysis of human–Artificial intelligence in public sector decision-making effectiveness. Technological Forecasting and Social Change, 174, 121201. https://doi.org/10.1016/j.techfore.2021.121201
Search via ReFindit
Ead, H.A., Fadallah, S.M., Fahmy, H.M., Rezk, M.R.A., Piccinetti, L., & Sakr, M.M. (2021). Awareness of foresight through education in Egypt: a case study from Egyptian university. Insights into Regional Development, 3(4), 10-20. http://doi.org/10.9770/IRD.2021.3.4(1)
Search via ReFindit
Fayda-Kinik, F. S. (2022). The role of organisational commitment in knowledge sharing amongst academics: an insight into the critical perspectives for higher education. International Journal of Educational Management. https://doi.org/10.1108/ijem-03-2021-0097
Search via ReFindit
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50. https://doi.org/10.1177/002224378101800104
Search via ReFindit
Georgiadis, G., & Poels, G. (2022). Towards a privacy impact assessment methodology to support the requirements of the general data protection regulation in a big data analytics context: A systematic literature review. Computer Law & Security Review, 44, 105640. https://doi.org/10.1016/j.clsr.2021.105640
Search via ReFindit
Gusc, J., Bosma, P., Jarka, S., & Biernat-Jarka, A. (2022). The Big Data, Artificial Intelligence, and Blockchain in True Cost Accounting for Energy Transition in Europe. Energies, 15(3), 1089. https://doi.org/10.3390/en15031089
Search via ReFindit
Gvishiani, A. D., Dobrovolsky, M. N., Dzeranov, B. V., & Dzeboev, B. A. (2022). Big Data in Geophysics and Other Earth Sciences. Izvestiya, Physics of the Solid Earth, 58(1), 1-29. https://doi.org/10.1134/s1069351322010037
Search via ReFindit
Habibi, A., Yusop, F. D., & Razak, R. A. (2020). The role of TPACK in affecting pre-service language teachers’ ICT integration during teaching practices: Indonesian context. Education and Information Technologies, 25(3), 1929-1949. https://doi.org/10.1007/s10639-019-10040-2
Search via ReFindit
Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the academy of marketing science, 40(3), 414-433. https://doi.org/10.1007/s11747-011-0261-6
Search via ReFindit
Iftikhar, A., Purvis, L., Giannoccaro, I., & Wang, Y. (2022). The impact of supply chain complexities on supply chain resilience: the mediating effect of big data analytics. Production Planning & Control, 1-21. https://doi.org/10.1080/09537287.2022.2032450
Search via ReFindit
Jain, N., & Raman, T. V. (2022). The interplay of perceived risk, perceive benefit and generation cohort in digital finance adoption. EuroMed Journal of Business. https://doi.org/10.1108/EMJB-09-2021-0132
Search via ReFindit
Karnan, L. (2022, January). A Hybrid Approach to Classifying Crime Big Data. In 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT) (pp. 1127-1133). IEEE. https://doi.org/10.1109/ICSSIT53264.2022.9716399
Search via ReFindit
Kaur, S., & Arora, S. (2022). Understanding customers’ usage behavior towards online banking services: an integrated risk–benefit framework. Journal of Financial Services Marketing, 1-25. https://doi.org/10.1057/s41264-022-00140-5
Search via ReFindit
Kornelia, B., & Andrzej, Ś. (2022). The use of Big Data Analytics in healthcare. Journal of Big Data, 9(1). https://doi.org/10.1186/s40537-021-00553-4
Search via ReFindit
Kumar, A., & Kumar, T. V. (2022). Multi-Objective Big Data View Materialization Using MOGA. International Journal of Applied Metaheuristic Computing (IJAMC), 13(1), 1-28. https://doi.org/10.4018/IRMJ.2021040101
Search via ReFindit
Li, W., Mao, Y., & Liu, C. (2022). Understanding the intention to donate online in the Chinese context: The influence of norms and trust. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 16(1). https://doi.org/10.5817/cp2022-1-7
Search via ReFindit
Liu, K., & Tao, D. (2022). The roles of trust, personalization, loss of privacy, and anthropomorphism in public acceptance of smart healthcare services. Computers in Human Behavior, 127, 107026. https://doi.org/10.1016/j.chb.2021.107026
Search via ReFindit
Matthews, J., Love, P. E., Porter, S. R., & Fang, W. (2022). Smart data and business analytics: A theoretical framework for managing rework risks in mega-projects. International Journal of Information Management, 65, 102495. https://doi.org/10.1016/j.ijinfomgt.2022.102495
Search via ReFindit
McDowall, A., Mills, C., Cawte, K., & Miller, J. (2021). Data use as the heart of data literacy: An exploration of pre-service teachers’ data literacy practices in a teaching performance assessment. Asia-Pacific Journal of Teacher Education, 49(5), 487-502. https://doi.org/10.1080/1359866X.2020.1777529
Search via ReFindit
Mitra, T., Kapoor, R., & Gupta, N. (2022). Studying key antecedents of disruptive technology adoption in the digital supply chain: an Indian perspective. International Journal of Emerging Markets. https://doi.org/10.1108/IJOEM-07-2021-1052
Search via ReFindit
Moturi, C. A., Okemwa, V. O., & Orwa, D. O. (2022). Big data analytics capability for digital transformation in the insurance sector. International Journal of Big Data Management, 2(1), 42-59. https://doi.org/10.1504/ijbdm.2022.119435
Search via ReFindit
Naderi, N., Monavvarifard, F., & Salehi, L. (2022). Fostering sustainability-oriented knowledge-sharing in academic environment: A key strategic process to achieving SDGs through development of students' sustainable entrepreneurship competences. The International Journal of Management Education, 20(1), 100603. https://doi.org/10.1016/j.ijme.2022.100603
Search via ReFindit
Ogbuke, N. J., Yusuf, Y. Y., Dharma, K., & Mercangoz, B. A. (2022). Big data supply chain analytics: ethical, privacy and security challenges posed to business, industries and society. Production Planning & Control, 33(2-3), 123-137. https://doi.org/10.1080/09537287.2020.1810764
Search via ReFindit
Osakwe, C. N., Hudik, M., Říha, D., Stros, M., & Ramayah, T. (2022). Critical factors characterizing consumers’ intentions to use drones for last-mile delivery: Does delivery risk matter?. Journal of Retailing and Consumer Services, 65, 102865. https://doi.org/10.1016/j.jretconser.2021.102865
Search via ReFindit
Park, J. H., & Kim, Y. B. (2021). Factors activating big data adoption by Korean firms. Journal of Computer Information Systems, 61(3), 285-293. https://doi.org/10.1080/08874417.2019.1631133
Search via ReFindit
Park, S. U., Jeon, J. W., Ahn, H., Yang, Y. K., & So, W. Y. (2022). Big Data Analysis of the Key Attributes Related to Stress and Mental Health in Korean Taekwondo Student Athletes. Sustainability, 14(1), 477. https://doi.org/10.3390/su14010477
Search via ReFindit
Ranjan, J., & Foropon, C. (2021). Big data analytics in building the competitive intelligence of organizations. International Journal of Information Management, 56, 102231. https://doi.org/10.1016/j.ijinfomgt.2020.102231
Search via ReFindit
Rolf, E., Knutsson, O., & Ramberg, R. (2022). Components of learning in upper secondary teachers’ pedagogical patterns. Technology, Pedagogy and Education, 1-13. https://doi.org/10.1080/1475939X.2021.1979638
Search via ReFindit
Saravanan, V., Hussain, F., & Kshirasagar, N. (2022). Role of big data in Internet of Things networks. In Research Anthology on Big Data Analytics, Architectures, and Applications (pp. 336-363). IGI Global. https://doi.org/10.4018/978-1-6684-3662-2.ch016
Search via ReFindit
Sayaf, A. M., Alamri, M. M., Alqahtani, M. A., & Al-Rahmi, W. M. (2021). Information and communications technology used in higher education: An empirical study on digital learning as sustainability. Sustainability, 13(13), 7074. https://doi.org/10.3390/su13137074
Search via ReFindit
Sayaf, A. M., Alamri, M. M., Alqahtani, M. A., & Alrahmi, W. M. (2022). Factors Influencing University Students’ Adoption of Digital Learning Technology in Teaching and Learning. Sustainability, 14(1), 493. https://doi.org/10.3390/su14010493
Search via ReFindit
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, 102870. https://doi.org/10.1155/2021/5591446
Search via ReFindit
Shank, D. B., Wright, D., Lulham, R., & Thurgood, C. (2021). Knowledge, perceived benefits, adoption, and use of smart home products. International Journal of Human–Computer Interaction, 37(10), 922-937. https://doi.org/10.1080/10447318.2020.1857135
Search via ReFindit
Singh, R., Sharma, P., Foropon, C., & Belal, H. M. (2022). The role of big data and predictive analytics in the employee retention: a resource-based view. International Journal of Manpower. https://doi.org/10.1108/ijm-03-2021-0197
Search via ReFindit
Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision sciences, 39(2), 273-315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
Search via ReFindit
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478. https://doi.org/10.2307/30036540
Search via ReFindit
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. https://doi.org/10.2307/41410412
Search via ReFindit
Wu, X., Liang, L., & Chen, S. (2022). How big data alters value creation: through the lens of big data competency. Management Decision. https://doi.org/10.1108/MD-09-2021-1199
Search via ReFindit
Yeong, Y. C., Kalid, K. S., Savita, K. S., Ahmad, M. N., & Zaffar, M. (2022). Sustainable cryptocurrency adoption assessment among IT enthusiasts and cryptocurrency social communities. Sustainable Energy Technologies and Assessments, 52, 102085. https://doi.org/10.1016/j.seta.2022.102085
Search via ReFindit
Zhang, G., Wang, W., & Liang, Y. (2021). Understanding the complex adoption behavior of cloud services by SMEs based on complexity theory: a fuzzy sets qualitative comparative analysis (fsQCA). Complexity, 2021. https://doi.org/10.1155/2021/5591446
Search via ReFindit
RSS 1.0
