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Are students ready for robots in higher education? Examining the adoption of robots by integrating UTAUT2 and TTF using a hybrid SEM-ANN approach

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  • Suhail, Faisal
  • Adel, Mouhand
  • Al-Emran, Mostafa
  • AlQudah, Adi Ahmad

Abstract

Robots have been heavily utilized in many industries, including education. However, the determinants driving robot adoption for educational purposes, particularly in developing countries, are not yet well understood. Additionally, the existing literature does not examine the fitness between robot capabilities and education-related tasks. Therefore, this research integrates the extended unified theory of acceptance and use of technology (UTAUT2) and task-technology fit (TTF) to examine robot adoption in higher education. Based on 177 responses collected from university students, the proposed model is verified using a hybrid structural equation modeling and artificial neural network (SEM-ANN) approach. The findings indicated that effort expectancy is positively affected by individual technology fit and task technology fit. Further, performance expectancy is significantly driven by task technology fit, but not individual technology fit. The results also supported the role of performance expectancy, social influence, facilitating conditions, and hedonic motivation in affecting behavioral intention, with a variance of 65% in the latter. With a normalized value of 94.5%, the ANN results revealed that social influence is the most important factor affecting robot adoption. These empirical findings provide several theoretical contributions and will help higher education institutions to promote students’ adoption of robots while enhancing their practical value.

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  • Suhail, Faisal & Adel, Mouhand & Al-Emran, Mostafa & AlQudah, Adi Ahmad, 2024. "Are students ready for robots in higher education? Examining the adoption of robots by integrating UTAUT2 and TTF using a hybrid SEM-ANN approach," Technology in Society, Elsevier, vol. 77(C).
    • Handle: RePEc:eee:teinso:v:77:y:2024:i:c:s0160791x24000721
    DOI: 10.1016/j.techsoc.2024.102524
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    1. Koh, Le Yi & Lee, Jia Yi & Wang, Xueqin & Yuen, Kum Fai, 2023. "Urban drone adoption: Addressing technological, privacy and task–technology fit concerns," Technology in Society, Elsevier, vol. 72(C).
    2. Yogesh K. Dwivedi & Nripendra P. Rana & Anand Jeyaraj & Marc Clement & Michael D. Williams, 2019. "Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model," Information Systems Frontiers, Springer, vol. 21(3), pages 719-734, June.
    3. Khan, Ikram Ullah, 2022. "How does culture influence digital banking? A comparative study based on the unified model," Technology in Society, Elsevier, vol. 68(C).
    4. Anil Gupta & Nikita Dogra, 2017. "Tourist adoption of mapping apps: a UTAUT2 perspective of smart travellers," Tourism and Hospitality Management, University of Rijeka, Faculty of Tourism and Hospitality Management, vol. 23(2), pages 145-1416-1, November.
    5. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    6. Larbi-Siaw, Otu & Xuhua, Hu & Owusu, Ebenezer & Owusu-Agyeman, Abigail & Fulgence, Brou Ettien & Frimpong, Samuel Akwasi, 2022. "Eco-innovation, sustainable business performance and market turbulence moderation in emerging economies," Technology in Society, Elsevier, vol. 68(C).
    7. Zhou, Min & Huang, Jinlong & Wu, Kexin & Huang, Xin & Kong, Nan & Campy, Kathryn S., 2021. "Characterizing Chinese consumers’ intention to use live e-commerce shopping," Technology in Society, Elsevier, vol. 67(C).
    8. Arpaci, Ibrahim & Karatas, Kasim & Kusci, Ismail & Al-Emran, Mostafa, 2022. "Understanding the social sustainability of the Metaverse by integrating UTAUT2 and big five personality traits: A hybrid SEM-ANN approach," Technology in Society, Elsevier, vol. 71(C).
    9. Foroughi, Behzad & Nhan, Pham Viet & Iranmanesh, Mohammad & Ghobakhloo, Morteza & Nilashi, Mehrbakhsh & Yadegaridehkordi, Elaheh, 2023. "Determinants of intention to use autonomous vehicles: Findings from PLS-SEM and ANFIS," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    10. Sarstedt, Marko & Wilczynski, Petra & Melewar, T.C., 2013. "Measuring reputation in global markets—A comparison of reputation measures’ convergent and criterion validities," Journal of World Business, Elsevier, vol. 48(3), pages 329-339.
    11. Ola Michalec & Cian O’Donovan & Mehdi Sobhani, 2021. "What is robotics made of? The interdisciplinary politics of robotics research," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-15, December.
    12. Giacomo Migliore & Ralf Wagner & Felipe Schneider Cechella & Francisco Liébana-Cabanillas, 2022. "Antecedents to the Adoption of Mobile Payment in China and Italy: an Integration of UTAUT2 and Innovation Resistance Theory," Information Systems Frontiers, Springer, vol. 24(6), pages 2099-2122, December.
    13. 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.
    14. Ong, Ardvin Kester S. & Kurata, Yoshiki B. & Castro, Sophia Alessandra D.G. & De Leon, Jeanne Paulene B. & Dela Rosa, Hazel V. & Tomines, Alex Patricia J., 2022. "Factors influencing the acceptance of telemedicine in the Philippines," Technology in Society, Elsevier, vol. 70(C).
    15. Alam, Mohammad Zahedul & Hu, Wang & Kaium, Md Abdul & Hoque, Md Rakibul & Alam, Mirza Mohammad Didarul, 2020. "Understanding the determinants of mHealth apps adoption in Bangladesh: A SEM-Neural network approach," Technology in Society, Elsevier, vol. 61(C).
    16. Shahzad, Fakhar & Xiu, Guoyi & Shafique Khan, Muhammad Aamir & Shahbaz, Muhammad, 2020. "Predicting the adoption of a mobile government security response system from the user's perspective: An application of the artificial neural network approach," Technology in Society, Elsevier, vol. 62(C).
    17. Khayer, Abul & Talukder, Md. Shamim & Bao, Yukun & Hossain, Md. Nahin, 2020. "Cloud computing adoption and its impact on SMEs’ performance for cloud supported operations: A dual-stage analytical approach," Technology in Society, Elsevier, vol. 60(C).
    18. Lian, Jiunn-Woei & Li, Ji, 2021. "The dimensions of trust:An investigation of mobile payment services in Taiwan," Technology in Society, Elsevier, vol. 67(C).
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    Keywords

    Robots; Technology adoption; Higher education; UTAUT2; TTF; SEM-ANN;
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