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Data-Driven Sustainable Services: A Technology Affordance Perspective

In: Sustainable Product-Service Systems

Author

Listed:
  • Tanvir Ahmed

    (Linköping University, Centre for Business Model Innovation (CBMI), Department of Management and Engineering (IEI))

  • Christian Kowalkowski

    (Linköping University, Centre for Business Model Innovation (CBMI), Department of Management and Engineering (IEI))

Abstract

This chapter explores how manufacturing firms can leverage data to enable sustainable digital servitization, enhancing both environmental and financial performance. Using affordance theory, it presents a framework for identifying and actualizing data affordances to create sustainable services. It introduces the concept of data debt, emphasizing risks from data disaffordances, when firms underutilize data, undermining decision-making and return on investment. The proposed three-step framework involves: (1) data shaping, converting raw data into insights; (2) identifying first-order affordances to develop descriptive services for operational optimization; and (3) leveraging feedback loops to identify second-order affordances that support prescriptive services and sustainable product usage. This cascading nature of affordances highlights lower-order affordances to enable higher-order affordances to foster sustainable data-driven servitization. The chapter outlines four service orientations: managing depreciation, extending lifecycles, reducing environmental impact, and improving efficiency. It highlights the practice-oriented value of advanced data analytics and reuse through data sharing and expert collaboration.

Suggested Citation

  • Tanvir Ahmed & Christian Kowalkowski, 2026. "Data-Driven Sustainable Services: A Technology Affordance Perspective," Springer Books, in: Marko Kohtamäki & Rodrigo Rabetino & Vinit Parida & David Sjödin & Tim Baines & Ali Ziaee Bigdeli (ed.), Sustainable Product-Service Systems, pages 167-183, Springer.
    • Handle: RePEc:spr:sprchp:978-3-032-07765-3_10
    DOI: 10.1007/978-3-032-07765-3_10
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