Access to open data from governments can benefit citizens by increasing transparency, accountability, and economic growth. While governments' open data initiatives are increasing, there is a lack of understanding of the factors influencing the adoption of open data mobile apps, which serve as an essential channel for open data use. Drawing from the signaling theory and IS success literature, this study investigates how information-related intrinsic cues available to potential users influence open data apps' adoption. Based on an analysis of open data apps in the Google Play store, we find that information cues such as whether an open data app provides complete and current information and is accessible in offline mode influence its adoption. Our findings contribute to the open data literature and provide implications for stakeholders in open data ecosystems such as governments, citizens, and organizations providing open data-related products and services.
Agrawal, D., Zhang, C., Kettinger, W. J., & Adeli, A. M. (2022). Spy it before you try it: Intrinsic Cues and Open Data App Adoption. Communications of the Association for Information Systems, 50, pp-pp. https://doi.org/10.17705/1CAIS.05026
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