The rapid release strategy, as one of the representative release practices adopted by software platforms, has ignited discussions among software developers, users, and researchers, raising concerns regarding impacts on product quality, testing and bug fix as well as usage. However, little is known about synchronized app update behavior resulting from platform rapid release practices. The objective of this study thus is to investigate the role of rapid release strategy in explaining and predicting app update behaviors (e.g., responsiveness, degree, and quality of app update). Building on boundary resources perspective, we theorized a research model that incorporates rapid release strategy, technical boundary resources, market boundary resources, and app update behaviors. We plan to validate the research model using a longitudinal dataset of 1,042 apps from Firefox over 105 weeks. Practice and research implications are discussed.
Song, Peijian; Wang, Alex; Fang, Yulin; and LI, Huifang, "Untangling Synchronized App Update Behaviors within the Ecosystem of Software Platform" (2022). PACIS 2022 Proceedings. 207.
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