Kollwitz C, Perez Mengual M, Dinter B (2018)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2018
Book Volume: 11
Conference Proceedings Title: Proceedings of the 2018 Pre-ICIS SIGDSA Symposium.
Event location: San Francisco
URI: https://aisel.aisnet.org/sigdsa2018/11/
In today's digital world, data has become an essential resource for companies’ business success. However, many organizations still struggle to use this resource effectively. We argue that one major reason for this problem is the lack of data literacy of individuals. In this paper we design a boundary object, called data vignette, which is proposed to enable cross-disciplinary teams to design data-driven products and / or services by reducing knowledge boundaries. Therefore, we apply design science research (DSR) and draw back on established standards like Dublin Core Metadata Element and feedback from experts from data science as well as service designers. Following the DSR approach we present a first artificial and naturalistic evaluation. Based on the naturalistic evaluation, which we conducted at a service design jam we derive potential improvements for the design and application of the data vignette. The paper concludes with an outlook on further application scenarios and development.
APA:
Kollwitz, C., Perez Mengual, M., & Dinter, B. (2018). Cross-Disciplinary Collaboration for Designing Data-Driven Products and Services. In Proceedings of the 2018 Pre-ICIS SIGDSA Symposium.. San Francisco.
MLA:
Kollwitz, Christoph, Maximilian Perez Mengual, and Barbara Dinter. "Cross-Disciplinary Collaboration for Designing Data-Driven Products and Services." Proceedings of the 2018 Pre-ICIS SIGDSA Symposium on Decision Analytics Connecting People, Data & Things, San Francisco 2018.
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