Determinants of health-conscious consumers’ intention to adopt fitness apps

  • 519 Views
  • 257 Downloads

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License

This study aims to investigate the factors influencing consumers’ intention to adopt health fitness apps. The target population for this study were current users of health fitness apps. The data collection process was completed using a Google e-mail form with a cover letter for the convenience of customers, wherein 308 respondents were the final sample size. Data were collected from current members of health clubs and fitness centers in Dhaka, Bangladesh. Most of the respondents were males (56%, n = 308), whereas females were 44%, n = 134. Five-point Likert scale was used, where ‘1’ means ‘Strongly Disagree’ and ‘5’ ‘Strongly Agree’, to clarify the item-wise questionnaire. SPSS data analysis software for research purposes was used to evaluate the hypotheses. Cronbach Alpha (α) value was used to justify the reliability of the variables. Four items measure price value; perceived performance, health consciousness, facilitating condition, hedonic motivation are measured by two items; self-efficacy – by three. The results show that the selected six determinants positively and significantly affect consumers’ intention to use health fitness apps. Overall, these variables can explain 55.50% of the variance in predicting behavioral intentions to adopt health fitness apps. Furthermore, this results could provide significant clues to health fitness app developers that can severely influence users to adopt health fitness apps for their wellbeing.

view full abstract hide full abstract
    • Figure 1. Study framework
    • Figure 2. Regression results
    • Table 1. Reliability and validity analysis
    • Table 2. Demographic information
    • Table 3. Regression coefficient analysis
    • Table 4. Hypothesis testing summary
    • Conceptualization
      Md. Atikur Rahaman, Rupali Dilip Taru
    • Data curation
      Md. Atikur Rahaman, Rupali Dilip Taru
    • Investigation
      Md. Atikur Rahaman, Rupali Dilip Taru
    • Methodology
      Md. Atikur Rahaman, Rupali Dilip Taru
    • Supervision
      Md. Atikur Rahaman, Rupali Dilip Taru, Aman Gupta
    • Writing – original draft
      Md. Atikur Rahaman, Rupali Dilip Taru
    • Writing – review & editing
      Md. Atikur Rahaman, Rupali Dilip Taru, Aman Gupta, Vikash Prajapat, Emran Ahmed
    • Software
      Rupali Dilip Taru
    • Formal Analysis
      Aman Gupta, Vikash Prajapat, Emran Ahmed
    • Funding acquisition
      Aman Gupta, Vikash Prajapat, Emran Ahmed
    • Project administration
      Aman Gupta, Vikash Prajapat, Emran Ahmed
    • Resources
      Aman Gupta, Vikash Prajapat
    • Validation
      Aman Gupta, Vikash Prajapat, Emran Ahmed
    • Visualization
      Aman Gupta, Vikash Prajapat, Emran Ahmed