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Predicting the core determinants of cloud-edge computing adoption (CECA) for sustainable development in the higher education institutions of Africa: A high order SEM-ANN analytical approach

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  • Hiran, Kamal Kant
  • Dadhich, Manish

Abstract

In the recent past, many studies have been conducted to elucidate the determinants affecting cloud computing adoption at different institutional levels. The study aims to identify how technological, organizational, environmental, and socio-culture factors influence the adoption of cloud edge technologies.

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  • Hiran, Kamal Kant & Dadhich, Manish, 2024. "Predicting the core determinants of cloud-edge computing adoption (CECA) for sustainable development in the higher education institutions of Africa: A high order SEM-ANN analytical approach," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    • Handle: RePEc:eee:tefoso:v:199:y:2024:i:c:s0040162523006649
    DOI: 10.1016/j.techfore.2023.122979
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    1. Shim, Tae Eun & Lee, Song Yi, 2020. "College students’ experience of emergency remote teaching due to COVID-19," Children and Youth Services Review, Elsevier, vol. 119(C).
    2. Arturo Calvo-Mora & Araceli Picón-Berjoyo & Carolina Ruiz-Moreno & Lourdes Cauzo-Bottala, 2015. "Contextual and mediation analysis between TQM critical factors and organisational results in the EFQM Excellence Model framework," International Journal of Production Research, Taylor & Francis Journals, vol. 53(7), pages 2186-2201, April.
    3. Sharma, Mahak & Singh, Anupama & Daim, Tugrul, 2023. "Exploring cloud computing adoption: COVID era in academic institutions," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    4. Yue, Lili & Li, Gaorong & Lian, Heng & Wan, Xiang, 2019. "Regression adjustment for treatment effect with multicollinearity in high dimensions," Computational Statistics & Data Analysis, Elsevier, vol. 134(C), pages 17-35.
    5. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    6. Leong, Lai-Ying & Hew, Teck-Soon & Ooi, Keng-Boon & Wei, June, 2020. "Predicting mobile wallet resistance: A two-staged structural equation modeling-artificial neural network approach," International Journal of Information Management, Elsevier, vol. 51(C).
    7. Gudergan, Siegfried P. & Ringle, Christian M. & Wende, Sven & Will, Alexander, 2008. "Confirmatory tetrad analysis in PLS path modeling," Journal of Business Research, Elsevier, vol. 61(12), pages 1238-1249, December.
    8. Poonam Garg & Bhumika Gupta & Ajay Kumar Chauhan & Uthayasankar Sivarajah & Shivam Gupta & Sachin Modgil, 2021. "Measuring the perceived benefits of implementing blockchain technology in the banking sector," Post-Print hal-03145195, HAL.
    9. Garg, Poonam & Gupta, Bhumika & Chauhan, Ajay Kumar & Sivarajah, Uthayasankar & Gupta, Shivam & Modgil, Sachin, 2021. "Measuring the perceived benefits of implementing blockchain technology in the banking sector," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    10. Schlecht, Laura & Schneider, Sabrina & Buchwald, Arne, 2021. "The prospective value creation potential of Blockchain in business models: A delphi study," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    11. Sabi, Humphrey M. & Uzoka, Faith-Michael E. & Langmia, Kehbuma & Njeh, Felix N., 2016. "Conceptualizing a model for adoption of cloud computing in education," International Journal of Information Management, Elsevier, vol. 36(2), pages 183-191.
    12. Leong, Lai-Ying & Hew, Teck-Soon & Ooi, Keng-Boon & Chong, Alain Yee-Loong, 2020. "Predicting the antecedents of trust in social commerce – A hybrid structural equation modeling with neural network approach," Journal of Business Research, Elsevier, vol. 110(C), pages 24-40.
    13. Gallego Sánchez, María del Carmen & De-Pablos-Heredero, Carmen & Medina-Merodio, Jose-Amelio & Robina-Ramírez, Rafael & Fernandez-Sanz, Luis, 2021. "Relationships among relational coordination dimensions: Impact on the quality of education online with a structural equations model," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    14. Dong-Hee Shin, 2015. "User value design for cloud courseware system," Behaviour and Information Technology, Taylor & Francis Journals, vol. 34(5), pages 506-519, May.
    15. Oughton, Edward J. & Lehr, William & Katsaros, Konstantinos & Selinis, Ioannis & Bubley, Dean & Kusuma, Julius, 2021. "Revisiting Wireless Internet Connectivity: 5G vs Wi-Fi 6," Telecommunications Policy, Elsevier, vol. 45(5).
    16. Liébana-Cabanillas, Francisco & Marinkovic, Veljko & Ramos de Luna, Iviane & Kalinic, Zoran, 2018. "Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 117-130.
    17. Peter J Jordan & Ashlea C Troth, 2020. "Common method bias in applied settings: The dilemma of researching in organizations," Australian Journal of Management, Australian School of Business, vol. 45(1), pages 3-14, February.
    18. Gugssa, Mulugeta Awayehu, 2023. "Characterizing environmental education practices in Ethiopian primary schools," International Journal of Educational Development, Elsevier, vol. 102(C).
    19. Hart O. Awa & Ojiabo Ukoha & Bartholomew C. Emecheta, 2016. "Using T-O-E theoretical framework to study the adoption of ERP solution," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1196571-119, December.
    20. Gupta, Prashant & Seetharaman, A. & Raj, John Rudolph, 2013. "The usage and adoption of cloud computing by small and medium businesses," International Journal of Information Management, Elsevier, vol. 33(5), pages 861-874.
    21. Sharon Rudansky-Kloppers & Kobus Van den Bergh, 2019. "The absorption and usage of cloud accounting technology by accounting firms in Cape Town for services provided to their clients," African Journal of Science, Technology, Innovation and Development, Taylor & Francis Journals, vol. 11(2), pages 161-180, February.
    22. Lin, Hsiu-Fen, 2014. "Understanding the determinants of electronic supply chain management system adoption: Using the technology–organization–environment framework," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 80-92.
    23. Liébana-Cabanillas, Francisco & Marinković, Veljko & Kalinić, Zoran, 2017. "A SEM-neural network approach for predicting antecedents of m-commerce acceptance," International Journal of Information Management, Elsevier, vol. 37(2), pages 14-24.
    24. Patil, Kiran & Ojha, Divesh & Struckell, Elisabeth M. & Patel, Pankaj C., 2023. "Behavioral drivers of blockchain assimilation in supply chains – A social network theory perspective," Technological Forecasting and Social Change, Elsevier, vol. 192(C).
    25. Oesterreich, Thuy Duong & Teuteberg, Frank, 2019. "Behind the scenes: Understanding the socio-technical barriers to BIM adoption through the theoretical lens of information systems research," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 413-431.
    26. Seok-Keun Yoo & Bo-Young Kim, 2018. "A Decision-Making Model for Adopting a Cloud Computing System," Sustainability, MDPI, vol. 10(8), pages 1-15, August.
    27. Chatterjee, Sheshadri & Rana, Nripendra P. & Dwivedi, Yogesh K. & Baabdullah, Abdullah M., 2021. "Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
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    Cited by:

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    2. Chen, Yan & Zhang, Ruiqian & Lyu, Jiayi & Ma, Xin, 2024. "The butterfly effect of cloud computing on the low-carbon economy," Technological Forecasting and Social Change, Elsevier, vol. 204(C).

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