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Researcher Intention to Use Statistical Software: Examine the Role of Statistical Anxiety, Self-Efficacy and Enjoyment

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  • Shalini Shukla

    (Babu Banarasi Das University, Lucknow, India)

  • Rakesh Kumar

    (Motilal Nehru National Institute of Technology, Prayagraj, India)

Abstract

The present study seeks to analyse researchers' willingness and intention to use statistical software packages by using the framework of the technology acceptance model. A sample of 380 researchers was taken from various academic institutions using convenience sampling. Data was collected using a structured questionnaire and respondents were asked to respond on five-point Likert scale. The findings of the study support the applicability of the technology acceptance model in explaining and predicting researchers' intention to use statistical software packages in their data analysis process. External variables such as statistical efficacy, computer attitude, statistical anxiety, perceived enjoyment and accessibility were found to have a significant relationship with the researchers' intention to use statistical software. The study provides some interesting and meaningful implications for researchers and marketing professionals involved in the development of statistical software; these are detailed in the article.

Suggested Citation

  • Shalini Shukla & Rakesh Kumar, 2020. "Researcher Intention to Use Statistical Software: Examine the Role of Statistical Anxiety, Self-Efficacy and Enjoyment," International Journal of Technology and Human Interaction (IJTHI), IGI Global, vol. 16(3), pages 39-55, July.
    • Handle: RePEc:igg:jthi00:v:16:y:2020:i:3:p:39-55
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    Citations

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    Cited by:

    1. Ben Sebian & Simin Ghaviferkr & Atila Yildirim, 2023. "Adoption and use of statistical software support in higher education: a cross-national analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4633-4656, October.
    2. Shalini Shukla & Rakesh Kumar, 2024. "Venturing into a New Business: Do Self-efficacy and Risk-taking Propensity Help?," Vikalpa: The Journal for Decision Makers, , vol. 49(1), pages 25-44, March.
    3. Rakesh Kumar & Rubee Singh & Kishore Kumar & Shahbaz Khan & Vincenzo Corvello, 2023. "How Does Perceived Risk and Trust Affect Mobile Banking Adoption? Empirical Evidence from India," Sustainability, MDPI, vol. 15(5), pages 1-21, February.

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