Trialing or combining? Understanding consumer partial switching in mobile application usage from the variety seeking perspective

Purpose The purpose of this paper is twofold: first, to clarify what specific behaviors are involved in consumers' partial switching in mobile application (app) usage, and, second, to explore the common and differential motivations of these behaviors. Design/methodology/approach This paper specified two behaviors in consumers' partial switching in mobile app usage, trialing and combining behaviors, and conceptualized them as different types of variety seeking behaviors. A theoretical model contrasting intrinsic motivations and extrinsic motivations on the two behaviors was developed and tested with a sample of 561 mobile app users in China. Findings The findings showed that both trialing and combining behaviors could be motivated by intrinsic individual-related and extrinsic technology-related factors. Besides, intrinsic individual-related factors were more effective in motivating trialing behavior, whereas extrinsic technology-related factors were more effective in motivating combining behavior. All these findings are applicable and consistent in both hedonic and utilitarian apps. Originality/value This study extends and advances the literature on information technology switching by investigating consumer use behaviors from a new perspective of partial switching and multiple competing apps usage. This study also contributes to variety seeking literature by extending the understanding of variety seeking to the context of mobile app usage. Finally, by investigating the associations and distinctions of trialing and combining behavior, this study not only helps to fully understand the partial switching but also enriches the understanding of different types of variety seeking behaviors.

Automated summary

This study examined the behaviors and motivations of consumers' partial switching in mobile app usage. The research found that intrinsic individual-related factors and extrinsic technology-related factors have different impacts on trialing and combining behaviors. These findings are consistent across different types of apps.