Switching Intent in Smart Factories: Understanding Key Influencers

Abstract

In the rapidly evolving landscape of Industry 4.0, understanding the factors influencing smart factory users’ intention to switch systems is paramount. This study aims to uncover the key determinants driving switching intention among smart factory users. Our theoretical framework emphasizes the significance of alternative attractiveness, peer influence, satisfaction, and switching cost in this context. We analyzed data from 163 smart factory users employing partial least squares structural equation modeling. The findings underscore that switching intention is majorly influenced by factors such as alternative attractiveness, peer influence, and switching cost. Further, perceived ease of use directly influences perceived usefulness and satisfaction. Moreover, satisfaction is found to be closely tied to perceived usefulness. Intriguingly, personal innovativeness stands out as a primary factor in shaping user satisfaction. We conclude by outlining the academic and practical implications of our findings, highlighting the need for organizations to strategize based on these insights.