Abstract
Much of IS design theory makes an assumption that if data is required by data consumers, it needs to be captured by the information systems (IS) explicitly and directly. With the pervasiveness of direct representation in IS development and research, academia has offered little support for cases where not all data elements required by data consumers are collected and stored directly. With the explosive proliferation of business analytics, it is becoming increasingly effective to mine existing data sources for unanticipated and novel insights. We developed and implemented GroceryBer - an online prototype for the crowdsourcing grocery delivery service in which we intentionally designed information as a by-product of the grocery delivery process.
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Yaramreddy, S., Knight, K., Kona, N.R., Jain, N., Salgado, A., Lukyanenko, R. (2016). Designing Information as a By-Product. In: Parsons, J., Tuunanen, T., Venable, J., Donnellan, B., Helfert, M., Kenneally, J. (eds) Tackling Society's Grand Challenges with Design Science. DESRIST 2016. Lecture Notes in Computer Science(), vol 9661. Springer, Cham. https://doi.org/10.1007/978-3-319-39294-3_21
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DOI: https://doi.org/10.1007/978-3-319-39294-3_21
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