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Digital academic entrepreneurship in emerging economies: Antecedents of social media adoption for academic entrepreneurship

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Abstract

Digital technologies can lead to the provision of innovative opportunities for academic entrepreneurship. However, investigations on the rationale for the adoption of digital technologies for academic entrepreneurship, particularly in emerging economies, remain limited. As a result, the determinants of digital technology adoption for academic entrepreneurship are not fully understood. Drawing on technology adoption and entrepreneurship literature, we propose a research model to investigate the adoption of social media – a type of digital technology - for entrepreneurial activities among students in academic settings. Based on survey data collected from 312 participants, and a partial least square structural equation modeling technique for analysis, this study shows that computer self-efficacy and perceived enjoyment significantly influence perceived ease of use. In addition, perceived job relevance and perceived ease of use significantly influence perceived usefulness. Furthermore, perceived ease of use and students’ perceived entrepreneurial feasibility significantly affect behavioral intention. Moreover, the study shows that behavioral intention significantly affects actual usage. Through these findings, our study advances knowledge on the antecedents of social media adoption for entrepreneurship in academic settings in emerging economies.

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Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  • Abbad, M. M. (2021). Using the UTAUT model to understand students’ usage of e-learning systems in developing countries. Education and Information Technologies, 26(6), 7205–7224.

    Article  Google Scholar 

  • Adam, I. O., Effah, J., & Boateng, R. (2019). Activity theory analysis of the virtualisation of teaching and teaching environment in a developing country university. Education and Information Technologies, 24, 251–276.

    Article  Google Scholar 

  • Afful, B., & Akrong, R. (2020). WhatsApp and academic performance among undergraduate students in Ghana: Evidence from the University of Cape Coast. Journal of Education for Business, 95(5), 288–296.

    Article  Google Scholar 

  • Al Shamsi, J. H., Al-Emran, M., & Shaalan, K. (2022). Understanding key drivers affecting students’ use of artificial intelligence-based voice assistants. Education and Information Technologies, 27(6), 8071–8091.

    Article  Google Scholar 

  • Al-Qaysi, N., Mohamad-Nordin, N., & Al-Emran, M. (2023). Developing a comprehensive theoretical model for adopting socialmedia in higher education. Interactive Learning Environments, 31(7), 4324–4345.

    Article  Google Scholar 

  • Alalwan, N. (2022). Actual use of social media for engagement to enhance students’ learning. Education and Information Technologies, 27(7), 9767–9789.

    Article  Google Scholar 

  • Ansah, G. N. (2014). Re-examining the fluctuations in language in-education policies in post-independence Ghana. Multilingual Education, 4, 1–15.

    Article  Google Scholar 

  • Audretsch, D. B., & Kayalar-Erdem, D. (2005). Determinants of scientist entrepreneurship: An integrative research agenda (pp. 97–118). Interdisciplinary Perspectives.

  • Barfi, K. A., Bervell, B., & Arkorful, V. (2021). Integration of social media for smart pedagogy: Initial perceptions of senior high school students in Ghana. Education and Information Technologies, 26, 3033–3055.

    Article  Google Scholar 

  • Chang, C. T., Hajiyev, J., & Su, C. R. (2017). Examining the students’ behavioral intention to use e-learning in Azerbaijan? The general extended technology acceptance model for e-learning approach. Computers & Education, 111, 128–143.

    Article  Google Scholar 

  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Publishers: Lawrence Erlbaum Associates.

  • Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 189–211.

  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319–340.

  • Dell’Atti, V., Russo, G., Dicuonzo, G., & Palmaccio, M. (2023). Digital academic entrepreneurship: Knowledge and public value from an Italian case study. Knowledge Management Research & Practice, 21(5), 1–14.

    Article  Google Scholar 

  • Deng, X., & Yu, Z. (2023). An extended hedonic motivation adoption model of TikTok in higher education. Education and Information Technologies, 28, 13595–13617. https://doi.org/10.1007/s10639-023-11749-x

    Article  Google Scholar 

  • Faqih, K. M., & Jaradat, M. I. R. M. (2015). Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspective. Journal of Retailing and Consumer Services, 22, 37–52.

    Article  Google Scholar 

  • Fishbein, M., & Ajzen, I. (2011). Predicting and changing behavior: The reasoned action approach. Taylor & Francis.

  • Fitzgerald, M., Kruschwitz, N., Bonnet, D., & Welch, M. (2014). Embracing digital technology: A new strategic imperative. MIT Sloan Management Review, 55(2), 1.

    Google Scholar 

  • Ghana Statistical Service. (2023). Ghana fact sheet. Retrieved July, 2023, from https://statsghana.gov.gh/ghfactsheet.php#:~:text=Ghana%20has%20a%20young%20age,under%20the%20age%20of%2025

  • Giones, F., & Brem, A. (2017). Digital technology entrepreneurship: A definition and research agenda. Technology Innovation Management Review, 7(5), 44–51.

    Article  Google Scholar 

  • Guerrero, M., Urbano, D., & Fayolle, A. (2016). Entrepreneurial activity and regional competitiveness: Evidence from European entrepreneurial universities. The Journal of Technology Transfer, 41, 105–131.

    Article  Google Scholar 

  • Hair, J. F., Jr., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., Ray, S., et al. (2021). An introduction to structural equation modeling. In Partial least squares structural equation modeling (PLS-SEM) using R: a workbook (pp. 1–29).

  • Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Thiele, K. O. (2017). Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods. Journal of the Academy of Marketing Science, 45, 616–632.

  • Hair, J., & Alamer, A. (2022). Partial least squares structural equation modeling (PLS-SEM) in second language and education research: Guidelines using an applied example. Research Methods in Applied Linguistics, 1(3), 100027.

  • Jumpah, E. T., Ampadu-Ameyaw, R., & Owusu-Arthur, J. (2020). Youth employment in Ghana: Economic and social development policies perspective. World Journal of Entrepreneurship Management and Sustainable Development, 16(4), 413–427.

    Article  Google Scholar 

  • Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of Social Media. Business Horizons, 53(1), 59–68.

    Article  Google Scholar 

  • Kpessa-Whyte, M., & Dzisah, J. (2022). Digitalisation of basic services in Ghana: State of policies in action and lesson for progress. INCLUDE.

  • Krueger, N. (1993). The impact of prior entrepreneurial exposure on perceptions of new venture feasibility and desirability. Entrepreneurship Theory and Practice, 18(1), 5–21.

    Article  Google Scholar 

  • Lee, W., Wong, A., & Tong, C. (2014). A qualitative study of the software adoption of building information modelling technology in the Hong Kong construction industry. Business and Economic Research, 4(2), 222.

    Article  Google Scholar 

  • Liñán, F., & Santos, F. J. (2007). Does social capital affect entrepreneurial intentions? International Advances in Economic Research, 13, 443–453.

    Article  Google Scholar 

  • Liñán, F., & Fayolle, A. (2015). A systematic literature review on entrepreneurial intentions: citation, thematic analyses, and research agenda. International Entrepreneurship and Management Journal, 11, 907–933.

  • Liu, Y., Sun, J. C. Y., & Chen, S. K. (2021). Comparing technology acceptance of AR-based and 3D map-based mobile library applications: A multigroup SEM analysis. Interactive Learning Environments, 1–15. https://doi.org/10.1080/10494820.2021.1955271

  • MacKenzie, S. B., & Podsakoff, P. M. (2012). Common method bias in marketing: Causes, mechanisms, and procedural remedies. Journal of Retailing, 88 No(4), 542–555.

    Article  Google Scholar 

  • Matarirano, O., Panicker, M., Jere, N. R., & Maliwa, A. (2021). External factors affecting blackboard learning management system adoption by students: Evidence from a historically disadvantaged higher education institution in South Africa. South African Journal of Higher Education, 35(2), 188–206.

    Article  Google Scholar 

  • Mathieson, K. (1991). Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173–191.

  • Matthess, M., & Kunkel, S. (2020). Structural change and digitalization in developing countries: Conceptually linking the two transformations. Technology in Society, 63, 101428.

    Article  Google Scholar 

  • Ministry of Education. (2018). The Ghana education reform agenda. Ministry of Education. Retrieved July, 2023, from https://moe.gov.gh/index.php/education-reform/

  • Muafi, M., Syafri, W., Prabowo, H., & Nur, S. A. (2021). Digital entrepreneurship in Indonesia: A human capital perspective. Journal of Asian Finance Economics and Business, 8(3), 351–359.

    Google Scholar 

  • Nachira, F., Dini, P., & Nicolai, A. (2007). A network of digital business ecosystems for Europe: Roots, processes and perspectives. European Commission Bruxelles Introductory Paper, 106, 1–20.

    Google Scholar 

  • Nambisan, S., Lyytinen, K., Majchrzak, A., & Song, M. (2017). Digital innovation management. MIS Quarterly, 41(1), 223–238.

    Article  Google Scholar 

  • Nambisan, S. (2017). Digital entrepreneurship: Toward a digital technology perspective of entrepreneurship. Entrepreneurship Theory and Practice, 41(6), 1029–1055.

  • Oppong, G. Y. S., Singh, S., & Kujur, F. (2020). Potential of digital technologies in academic entrepreneurship–a study. International Journal of Entrepreneurial Behavior & Research, 26(7), 1449–1476.

    Article  Google Scholar 

  • Rice, M. F. (2003). Information and communication technologies and the global digital divide: Technology transfer, development, and least developing countries. Comparative Technology Transfer and Society, 1(1), 72–88.

    Article  Google Scholar 

  • Ringle, C. M., & Sarstedt, M. (2016). Gain more insight from your PLS-SEM results: The importance-performance map analysis. Industrial Management & Data Systems, 116(9), 1865–1886.

  • Rippa, P., & Secundo, G. (2019). Digital academic entrepreneurship: The potential of digital technologies on academic entrepreneurship. Technological Forecasting and Social Change, 146, 900–911.

    Article  Google Scholar 

  • Sasu, D. D. (2022). Total number of active social media users in Ghana from 2017 to 2022 (in millions). Retrieved June, 2023, from https://www.statista.com/statistics/1171445/number-of-social-media-users-ghana/

  • Sasu, D. D. (2023). Forecast of the e-commerce market revenue in Ghana from 2017 to 2027 (in million U.S. dollars). Retrieved July, 2023, from https://www.statista.com/forecasts/1343449/ecommerce-market-revenue-ghana

  • Secundo, G., Rippa, P., & Cerchione, R. (2020). Digital Academic Entrepreneurship: A structured literature review and avenue for a research agenda. Technological Forecasting and Social Change, 157, 120118.

    Article  Google Scholar 

  • Senyo, P. K., Liu, K., & Effah, J. (2019). Digital business ecosystem: Literature review and a framework for future research. International Journal of Information Management, 47, 52–64.

    Article  Google Scholar 

  • Shapero, A., & Sokol, L. (1982). The social dimensions of entrepreneurship. University of Illinois at Urbana-Champaign’s Academy for Entrepreneurial Leadership Historical Research Reference in Entrepreneurship.

  • Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J. H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: guidelines for using PLS predict. European Journal of Marketing, 53(11), 2322–2347.

  • Somsuk, N., & Laosirihongthong, T. (2014). A fuzzy AHP to prioritize enabling factors for strategic management of university business incubators: Resource-based view. Technological Forecasting and Social Change, 85, 198–210.

    Article  Google Scholar 

  • Tekic, Z., & Koroteev, D. (2019). From disruptively digital to proudly analog: A holistic typology of digital transformation strategies. Business Horizons, 62(6), 683–693.

    Article  Google Scholar 

  • Toniolo, K., Masiero, E., Massaro, M., & Bagnoli, C. (2020). A grounded theory study for digital academic entrepreneurship. International Journal of Entrepreneurial Behavior & Research, 26(7), 1567–1587.

    Article  Google Scholar 

  • Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451–481.

  • Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.

  • Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342–365.

  • Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315.

    Article  Google Scholar 

  • Völckner, F., Sattler, H., Hennig-Thurau, T., & Ringle, C. M. (2010). The role of parent brand quality for service brand extension success. Journal of Service Research, 13(4), 379–396.

  • Vorbach, S., Poandl, E. M., & Korajman, I. (2019). Digital entrepreneurship education: The role of MOOCs. International Journal of Engineering Pedagogy, 9(3), 99–111.

    Article  Google Scholar 

  • Zolait, A. H. S. (2014). The nature and components of perceived behavioural control as an element of theory of planned behaviour. Behaviour & Information Technology, 33(1), 65–85.

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  1. Department of Information Technology Studies, University of Professional Studies, Accra (UPSA), Madina, Ghana

    Samuel Attuquayefio, David Aboagye-Darko & Amanda Quist Okronipa

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  1. Samuel Attuquayefio
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  2. David Aboagye-Darko
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  3. Amanda Quist Okronipa
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Correspondence to David Aboagye-Darko.

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Attuquayefio, S., Aboagye-Darko, D. & Okronipa, A.Q. Digital academic entrepreneurship in emerging economies: Antecedents of social media adoption for academic entrepreneurship. Educ Inf Technol 29, 11765–11791 (2024). https://doi.org/10.1007/s10639-023-12286-3

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