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Designing innovative digital technologies for knowledge management and data-driven business: a case study

Published: 21 October 2015 Publication History

Abstract

This paper presents a case study on co-designing digital technologies for knowledge management and data-driven business for an SME. The goal of the case study was to analyse the status quo of technology usage and to develop design suggestions in form of mock-ups tailored to the company's needs. We used both requirements engineering and interactive system design methods such as interviews, workshops, and mock-ups for work analysis and system design. The case study illustrates step-by-step the processes of knowledge extraction and combination (analysis) and innovation creation (design). These processes resulted in non-functional mock-ups, which are planned to be implemented within the SME.

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Published In

cover image ACM Other conferences
i-KNOW '15: Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business
October 2015
314 pages
ISBN:9781450337212
DOI:10.1145/2809563
  • General Chairs:
  • Stefanie Lindstaedt,
  • Tobias Ley,
  • Harald Sack
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 October 2015

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Author Tags

  1. data-driven business
  2. design
  3. innovative digital technologies
  4. knowledge management
  5. mock-up development

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i-KNOW '15

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i-KNOW '15 Paper Acceptance Rate 25 of 78 submissions, 32%;
Overall Acceptance Rate 77 of 238 submissions, 32%

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