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The Sustainable Stewardship Management Model for Green IS
Mälardalen University, School of Business, Society and Engineering, Industrial Economics and Organisation.ORCID iD: 0000-0001-7334-2480
Mälardalen University, School of Business, Society and Engineering, Industrial Economics and Organisation.ORCID iD: 0000-0001-8220-6085
Mälardalen University, School of Business, Society and Engineering, Industrial Economics and Organisation.ORCID iD: 0000-0003-1463-1746
Mälardalen University, School of Business, Society and Engineering, Industrial Economics and Organisation.
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2023 (English)In: 29th Annual Americas Conference on Information Systems, AMCIS 2023, Association for Information Systems , 2023Conference paper, Published paper (Refereed)
Abstract [en]

Triple bottom-line challenges are increasingly related to the long-term survival of companies. Both researchers and businesses understand that the transformation towards a sustainable future is dependent on green IS initiatives. However, companies base their decisions on business cases when investing in IS. Many of the required changes that green IS can offer—especially when it comes to new systems that require new business models—are not captured by business cases. This paper presents a model that widens the perspective on value creation. The presented Sustainable Stewardship Management Model (SSMM) allows companies that strive for a stewardship role to evaluate both existing and new forms of green IS by combining casual and effectual decision-making. The model is a result of a collaboration with several large Swedish commercial real estate companies, their tenants, and a non-governmental organization (NGO). The model will be tested in a follow-up project.

Place, publisher, year, edition, pages
Association for Information Systems , 2023.
Keywords [en]
business case, effectuation, green IS, service-dominant logic, Triple bottom-line, Information systems, Information use, Existing forms, Management Model, New business models, New forms, Triple Bottom Line, Value creation, Decision making
National Category
Economics and Business
Identifiers
URN: urn:nbn:se:mdh:diva-66661Scopus ID: 2-s2.0-85192943535ISBN: 9781713893592 (print)OAI: oai:DiVA.org:mdh-66661DiVA, id: diva2:1859624
Conference
29th Annual Americas Conference on Information Systems: Diving into Uncharted Waters, AMCIS 2023. Panama City10 August 2023 through 12 August 2023
Available from: 2024-05-22 Created: 2024-05-22 Last updated: 2025-01-07Bibliographically approved

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Ekman, PeterRöndell, JimmieErixon, CeciliaAnastasiadou, ElenaBerglind, MagnusDahlin, PeterHolmstedt, MatthiasThompson, Steven

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Ekman, PeterRöndell, JimmieErixon, CeciliaAnastasiadou, ElenaBerglind, MagnusDahlin, PeterHolmstedt, MatthiasThompson, Steven
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Industrial Economics and Organisation
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Citation style
  • apa
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Language
  • de-DE
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