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Challenges in developing data-based value creation

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationIC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
EditorsJorge Bernardino, Ana Salgado, Joaquim Filipe
PublisherSCITEPRESS
Pages370-376
Number of pages7
ISBN (Electronic)9789897583827
Publication statusPublished - 2019
Publication typeA4 Article in a conference publication
EventInternational Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Vienna, Austria
Duration: 17 Sep 201919 Sep 2019

Publication series

NameIC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Volume3

Conference

ConferenceInternational Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
CountryAustria
CityVienna
Period17/09/1919/09/19

Abstract

Understanding data-based value creation helps organizations to enhance its decision-making and to renew their business operations. However, organizations aiming to use modern data analytics face several severe challenges that are not usually so evident or visible beforehand. In this paper we study a Finnish manufacturing company's data empowerment and information and knowledge management practices in order to identify the potential challenges related to modern data-based value creation within industrial context. The empirical data is consisted of group discussions, relevant data sets acquired from the case company's information systems, and lastly, 12 thematic interviews of the key actors in the company in relation to service development. The study provides valuable insights for managing service development and decision-making and creates understanding on data-based value creation. Achieved understanding provides meaningful knowledge for organizations utilizing or having plans to utilize, for example, data analytic methods in their businesses.

ASJC Scopus subject areas

Keywords

  • Case Study, Data-based Value Creation, Information Management Process, Knowledge Management

Publication forum classification

Field of science, Statistics Finland