Explaining technology migration against the change in terms of use: an fsQCA approach
本研究以WhatsApp用户协议变更为案例，基于推拉锚定模型和组态视角，通过fsQCA分析624名用户数据，识别出导致高和低切换意图的多种路径，为社交媒体平台吸引和保留用户提供参考。
Purpose During the past few years, social media has faced the challenge of maintaining its user base. Reports show that the social media giants such as Facebook and Twitter experienced a decline in their users. Taking WhatsApp's recent change of its terms of use as the case of this study and using the push-pull-mooring model and a configurational perspective, this study aims to identify pathways for switching intentions. Design/methodology/approach Data were collected from 624 WhatsApp users recruited from Amazon Mechanical Turk and analyzed using fuzzy set qualitative comparative analysis (fsQCA). Findings The findings identify seven configurations for high switching intentions and four configurations for low intentions to switch. Firm reputation and critical mass increase intention to switch, while low firm reputation and absence of attractive alternatives hinder switching. Research limitations/implications This study extends extant literature on social media migration by identifying configurations that result in high and low switching intention among messaging applications. Practical implications The study identifies factors the technology service providers should consider to attract new users and retain existing users. Originality/value This study complements the extant literature on switching intention that explains the phenomenon based on a net-effect approach by offering an alternative view that focuses on the existence of multiple pathways to social media switching. It further advances the authors’ understanding of the relevant importance of switching factors.