Data in sustainable production chain management

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific

Abstract

The aim of this paper is to innovate the role of data in sustainable production chain management by identifying drivers, challenges and future solutions related to sustainability and data utilisation. The research data was collected from a literature review, a sustainability seminar entitled “Strong Stronger Responsible” and interviews with company representatives. The interviewees represented operators in the renewable forest and chemical industries and the companies serving them. This study examines sustainability data on the wood fibre-based production chain, from the forest to the consumer. The results show that for sustainability data, production chains have challenges and development needs in terms of indicators, data collection, quality and sharing. Sustainability data should guide decision making in processes at all levels of the organisation, as well as in the production chain.
Original languageEnglish
Title of host publicationProceedings of XXXIV ISPIM Innovation Conference
Subtitle of host publicationInnovation and Circular Economy
EditorsIain Bitran, Leandro Bitetti, Steffen Conn, Jessica Fishburn, Eelko Huizingh, Paavo Ritala, Marko Torkkeli, Jialei Yang
Place of PublicationLjubljana, Slovenia
PublisherInternational Society for Professional Innovation Management ISPIM
Number of pages11
ISBN (Electronic)978‐952‐65069‐3‐7
Publication statusPublished - 7 Jun 2023
MoE publication typeB3 Non-refereed article in conference proceedings
EventXXXIV ISPIM Innovation Conference: Innovation and Circular Economy - The Cankarjev Dom (CD) Congress Centre, Ljubljana, Slovenia
Duration: 4 Jun 20237 Jun 2023
Conference number: XXXIV
https://www.ispim-innovation-conference.com

Conference

ConferenceXXXIV ISPIM Innovation Conference
Country/TerritorySlovenia
CityLjubljana
Period4/06/237/06/23
Internet address

Keywords

  • sustainability
  • production chain
  • manufacturing companies
  • sustainability data
  • data utilisation

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