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Education 5.0 challenges and sustainable development goals in emerging economies: A mixed-method approach

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  • Agarwal, Vernika
  • Verma, Palak
  • Ferrigno, Giulio

Abstract

The education sector has experienced transformative shifts with increased integration of artificial intelligence (AI) and Learning Analytics in higher education, notably within universities. This evolution necessitates the integration of Education 5.0 with Industry 5.0, especially in emerging economies like India, where teaching professionals play an essential part in facilitating this transition. Despite the opportunities for skills enhancement, significant obstacles impede the sustainable technological empowerment of academicians. This study recognizes these challenges in the context of Indian higher education and explores solutions to accelerate the acceptance of Education 5.0. Utilizing a mixed-methods approach, semi-structured interviews with 14 academicians were conducted, followed by thematic analysis using NVIVO and ranking via the Best-worst Multi-criteria Decision-Making Process (BWM). The research indicates that resolving these challenges can streamline the transition to AI-enabled educational technologies. The study highlights the significance of university management in formulating targeted policies and training programs that minimize these challenges, ultimately enhancing the educational infrastructure and fostering a technologically proficient academic workforce. Theoretically, this research enriches the discourse on technology empowerment in education by mapping the interplay between educational advancements and organizational change, offering an understanding that can be applied to similar contexts globally.

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  • Agarwal, Vernika & Verma, Palak & Ferrigno, Giulio, 2025. "Education 5.0 challenges and sustainable development goals in emerging economies: A mixed-method approach," Technology in Society, Elsevier, vol. 81(C).
    • Handle: RePEc:eee:teinso:v:81:y:2025:i:c:s0160791x25000041
    DOI: 10.1016/j.techsoc.2025.102814
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    1. Raj, Alok & Mukherjee, Abheek Anjan & de Sousa Jabbour, Ana Beatriz Lopes & Srivastava, Samir K., 2022. "Supply chain management during and post-COVID-19 pandemic: Mitigation strategies and practical lessons learned," Journal of Business Research, Elsevier, vol. 142(C), pages 1125-1139.
    2. Culot, Giovanna & Nassimbeni, Guido & Orzes, Guido & Sartor, Marco, 2020. "Behind the definition of Industry 4.0: Analysis and open questions," International Journal of Production Economics, Elsevier, vol. 226(C).
    3. Alok Raj & Abheek Anjan Mukherjee & Ana Beatriz Lopes de Sousa Jabbour & Samir K. Srivastava, 2022. "Supply chain management during and post-COVID-19 pandemic: Mitigation strategies and practical lessons learned," Post-Print hal-04275089, HAL.
    4. Giulio Ferrigno & Nicola Del Sarto & Andrea Piccaluga & Alessandro Baroncelli, 2023. "Industry 4.0 base technologies and business models: a bibliometric analysis," European Journal of Innovation Management, Emerald Group Publishing Limited, vol. 26(7), pages 502-526, August.
    5. Ramadani, Veland & Rahman, Md. Mizanur & Salamzadeh, Aidin & Rahaman, Md. Saidur & Abazi-Alili, Hyrije, 2022. "Entrepreneurship Education and Graduates' Entrepreneurial Intentions: Does Gender Matter? A Multi-Group Analysis using AMOS," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    6. Leon, Ramona Diana, 2023. "Employees’ reskilling and upskilling for industry 5.0: Selecting the best professional development programmes," Technology in Society, Elsevier, vol. 75(C).
    7. Spencer, David A., 2023. "Technology and work: Past lessons and future directions," Technology in Society, Elsevier, vol. 74(C).
    8. Nascimento, Lígia & Correia, Manuela Faia & Califf, Christopher B., 2024. "Towards a bright side of technostress in higher education teachers: Identifying several antecedents and outcomes of techno-eustress," Technology in Society, Elsevier, vol. 76(C).
    9. Kumar, Satish & Rao, Purnima & Singhania, Shubham & Verma, Shubhangi & Kheterpal, Myra, 2024. "Will artificial intelligence drive the advancements in higher education? A tri-phased exploration," Technological Forecasting and Social Change, Elsevier, vol. 201(C).
    10. Wang, Jason X. & Burke, Haydn & Zhang, Abraham, 2022. "Overcoming barriers to circular product design," International Journal of Production Economics, Elsevier, vol. 243(C).
    11. Karmaker, Chitra Lekha & Bari, A.B.M. Mainul & Anam, Md. Zahidul & Ahmed, Tazim & Ali, Syed Mithun & de Jesus Pacheco, Diego Augusto & Moktadir, Md. Abdul, 2023. "Industry 5.0 challenges for post-pandemic supply chain sustainability in an emerging economy," International Journal of Production Economics, Elsevier, vol. 258(C).
    12. James, Ajith Tom & Kumar, Girish & Tayal, Pushpal & Chauhan, Ashwin & Wadhawa, Chirag & Panchal, Jasmin, 2022. "Analysis of human resource management challenges in implementation of industry 4.0 in Indian automobile industry," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    13. Dell'Era, Claudio & Di Minin, Alberto & Ferrigno, Giulio & Frattini, Federico & Landoni, Paolo & Verganti, Roberto, 2020. "Value capture in open innovation processes with radical circles: A qualitative analysis of firms’ collaborations with Slow Food, Memphis, and Free Software Foundation," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    14. Çipi, Amali & Fernandes, Ana Cláudia R.D. & Ferreira, Fernando A.F. & Ferreira, Neuza C.M.Q.F. & Meidutė-Kavaliauskienė, Ieva, 2023. "Detecting and developing new business opportunities in society 5.0 contexts: A sociotechnical approach," Technology in Society, Elsevier, vol. 73(C).
    15. Mukherjee, Abheek Anjan & Raj, Alok & Aggarwal, Shikha, 2023. "Identification of barriers and their mitigation strategies for industry 5.0 implementation in emerging economies," International Journal of Production Economics, Elsevier, vol. 257(C).
    16. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    17. Ishii, Kazuyoshi & Ichimura, Takaya & Ikeda, Hiroshi & Tsuchiya, Akinori & Nakano, Makoto, 2009. "Development of educational program for production manager leading new perspectives on manufacturing technology," International Journal of Production Economics, Elsevier, vol. 122(1), pages 469-478, November.
    18. Asif, Muhammad & Searcy, Cory & Castka, Pavel, 2023. "ESG and Industry 5.0: The role of technologies in enhancing ESG disclosure," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    19. Heidary-Dahooie, Jalil & Rafiee, Mostafa & Mohammadi, Mehdi & Meidute-Kavaliauskienė, Ieva, 2022. "Proposing a new LSGDM framework based on BWM with hesitant fuzzy information for prioritizing blockchain adoption barriers in supply chain," Technology in Society, Elsevier, vol. 71(C).
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