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Analyzing the technology of acceptance model of Ghanaian crowdfunding stakeholders

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  • Djimesah, Isaac Edem
  • Zhao, Hongjiang
  • Okine, Agnes Naa Dedei
  • Li, Yao
  • Duah, Elijah
  • Kissi Mireku, Kingsford

Abstract

This study is intended to analyze the influential factors of the Technology Acceptance Model (TAM) for crowdfunding stakeholders’ behaviors and intention to use. A sequential explanatory approach of a mixed-method is adopted for this study, using quantitative data of 538 respondents in eight regional capitals of Ghana. The data collection process involves a comprehensive interview and questionnaire filling by the respondents. Even though the outcomes demonstrate that all the TAM hypotheses proposed are accepted, the research also attested to the ease in crowdfunding, creating the perception of usefulness in stakeholders’ thinking. And the ease of use is an essential stimulus that encourages them to use crowdfunding. Meanwhile, the usefulness perception proves to be a driver for using crowdfunding. Finally, when stakeholders engage in crowdfunding usage, they want to use it again. The study originality demonstrated how the ease of use influences perceived usefulness while the ease of use affects intention; however, the study reveals that perceived usefulness influences its intention.

Suggested Citation

  • Djimesah, Isaac Edem & Zhao, Hongjiang & Okine, Agnes Naa Dedei & Li, Yao & Duah, Elijah & Kissi Mireku, Kingsford, 2022. "Analyzing the technology of acceptance model of Ghanaian crowdfunding stakeholders," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    • Handle: RePEc:eee:tefoso:v:175:y:2022:i:c:s004016252100754x
    DOI: 10.1016/j.techfore.2021.121323
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    References listed on IDEAS

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    1. 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.
    2. Raouf Jaziri & Mohammad Miralam, 2019. "Modelling the crowdfunding technology adoption among novice entrepreneurs: an extended tam model," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 6(4), pages 2159-2179, June.
    3. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    4. Djimesah Isaac Edem & Hongjiang Zhao & Okine Agnes Naa Dedei & Duah Elijah, 2021. "Determinant Factors of Crowdfunding Success and Its Influence on SMEs in West African Countries," Journal of Enterprising Culture (JEC), World Scientific Publishing Co. Pte. Ltd., vol. 29(02), pages 109-139, June.
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    Cited by:

    1. Yung-Tsan Jou & Klint Allen Mariñas & Charmine Sheena Saflor & Michael Nayat Young, 2022. "Investigating Accessibility of Social Security System (SSS) Mobile Application: A Structural Equation Modeling Approach," Sustainability, MDPI, vol. 14(13), pages 1-18, June.
    2. Kraus, Sascha & Kumar, Satish & Lim, Weng Marc & Kaur, Jaspreet & Sharma, Anuj & Schiavone, Francesco, 2023. "From moon landing to metaverse: Tracing the evolution of Technological Forecasting and Social Change," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    3. Badghish, Saeed & Shaik, Aqueeb Sohail & Sahore, Nidhi & Srivastava, Shalini & Masood, Ayesha, 2024. "Can transactional use of AI-controlled voice assistants for service delivery pickup pace in the near future? A social learning theory (SLT) perspective," Technological Forecasting and Social Change, Elsevier, vol. 198(C).

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