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Technology acceptance among micro-entrepreneurs in marginalized social strata: The case of social innovation in Bangladesh

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  • Rahman, Syed Abidur
  • Taghizadeh, Seyedeh Khadijeh
  • Ramayah, T.
  • Alam, Mirza Mohammad Didarul

Abstract

Technology adoption by the marginalized community is indeed an important issue in global poverty reduction. To realize it, this paper contributes by doing an empirical test of the technology acceptance model, amongst those users typically always deprived in the existing social structure. Firstly, the study aims to examine the influence of Technology Readiness Index (TRI) 2.0′s four indicators (optimism, innovativeness, discomfort and insecurity) on bKash entrepreneurs' perceived ease of use (PEOU) and perceived usefulness (PU) of bKash technology. Secondly, it aims to investigate the effect of ‘bKash’ entrepreneurs' PEOU and PU on their well-being. A total of 360 usable data were collected from the bKash agents in Bangladesh. We employed SEM-PLS3.0 for data analysis. The results indicate that optimism and innovativeness strongly drive perceived ease of use and perceived usefulness. Subjective well-being was found to be strongly predicted by perceived ease of use and perceived usefulness. The study indicates that poor people are somewhat ready to use and accept technology that leads to a sense of well-being. Bringing together the concept of subjective well-being with TRI and Technology Acceptance Model (TAM) is this paper's contribution to the knowledge domain.

Suggested Citation

  • Rahman, Syed Abidur & Taghizadeh, Seyedeh Khadijeh & Ramayah, T. & Alam, Mirza Mohammad Didarul, 2017. "Technology acceptance among micro-entrepreneurs in marginalized social strata: The case of social innovation in Bangladesh," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 236-245.
    • Handle: RePEc:eee:tefoso:v:118:y:2017:i:c:p:236-245
    DOI: 10.1016/j.techfore.2017.01.027
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    6. Dey, Bidit L. & Babu, Mujahid Mohiuddin & Rahman, Mizan & Dora, Manoj & Mishra, Nishikant, 2019. "Technology upgrading through co-creation of value in developing societies: Analysis of the mobile telephone industry in Bangladesh," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 413-425.
    7. Sepasgozar, Samad M.E. & Hawken, Scott & Sargolzaei, Sharifeh & Foroozanfa, Mona, 2019. "Implementing citizen centric technology in developing smart cities: A model for predicting the acceptance of urban technologies," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 105-116.
    8. Arvind Ashta, 2018. "News and Trends in Fintech and Digital Microfinance: Why Are European MFIs Invisible?," FIIB Business Review, , vol. 7(4), pages 232-243, December.
    9. Saqib Ali & Habib Ullah & Minhas Akbar & Waheed Akhtar & Hasan Zahid, 2019. "Determinants of Consumer Intentions to Purchase Energy-Saving Household Products in Pakistan," Sustainability, MDPI, vol. 11(5), pages 1-20, March.
    10. Crittenden, Victoria L. & Crittenden, William F. & Ajjan, Haya, 2019. "Empowering women micro-entrepreneurs in emerging economies: The role of information communications technology," Journal of Business Research, Elsevier, vol. 98(C), pages 191-203.
    11. Jang, Hyunmi & Haddoud, Mohamed Yacine & Roh, Saeyeon & Onjewu, Adah-Kole Emmanuel & Choi, Taeeun, 2023. "Implementing smart factory: A fuzzy-set analysis to uncover successful paths," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    12. Senyo, PK & Osabutey, Ellis L.C., 2020. "Unearthing antecedents to financial inclusion through FinTech innovations," Technovation, Elsevier, vol. 98(C).
    13. Engås, Karen G. & Raja, Jawwad Z. & Neufang, Isabelle Fabienne, 2023. "Decoding technological frames: An exploratory study of access to and meaningful engagement with digital technologies in agriculture," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    14. Calderini, Mario & Fia, Magali & Gerli, Francesco, 2023. "Organizing for transformative innovation policies: The role of social enterprises. Theoretical insights and evidence from Italy," Research Policy, Elsevier, vol. 52(7).
    15. Pillai, Rajasshrie & Sivathanu, Brijesh & Dwivedi, Yogesh K., 2020. "Shopping intention at AI-powered automated retail stores (AIPARS)," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
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