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

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

Shalini Shukla (Babu Banarasi Das University, Lucknow, India) and Rakesh Kumar (Motilal Nehru National Institute of Technology, Prayagraj, India)
Copyright: © 2020 |Pages: 17
DOI: 10.4018/IJTHI.2020070103

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.
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Rationale Of The Study

TAM has emerged as one of the most widely used behavioural models in the area of technology diffusion. Scholars from different disciplines have used TAM in a myriad of research areas such as: online MBA course by Hsu, Wang and Chiu (2009), use of SPSS by Brezavscek Petra and Znidarsic (2014), technology in teaching by Nair and Das (2012), e-learning by Park (2009), science learning in students by Tuan, Chin and Shieh (2005), web-based learning by Khorasani and Zeyun (2014), ERP usage by Shih and Huang (2009), multiple learning environments by Saadé, Nebebe and Tan (2007), e-learning system by Lee Hsieh and Hsu (2011), use of Bitcoins (Lennon, & Folkinshteyn, 2017) and Chuang, Lin, Chang and Kaewmeesri (2017), etc. However, the field related to the use of statistical software by researchers and academics is less explored, especially with reference to developing countries, where the accessibility of software is one of the very influential factors. Indeed, the use of statistical software is important in the whole research process because it not only improves the accuracy and the quality of research findings but also the generalizability. This gap of research work makes this study novel in terms of its contribution, especially for the multimillion-dollar software industry targeting the emerging nations as a potential market. Thus, it is imperative to understand the factors affecting the usage and adoption of statistical software by researchers in their studies.

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