Realizing desired effects from digitized product affordances: A case study of key inhibiting factors
Despite the potential of IoT-enriched digitized products, firms struggle to generate desired impact. We investigate the alignment of actualized digitized product potentials (i.e., affordances) with organizational goals, examining how the emergence of critical inhibiting factors affect the generation of desired effects. We conduct an embedded single case study of four actualized digitized product potentials within a professional equipment manufacturer and explore how the emergence of inhibiting factors prevents the generation of desired effects. Using Necessary Condition Analysis (NCA), six key inhibiting factors are identified. Our findings contribute to affordance theory and digital innovation research in three ways: a) we provide an extended affordance-actualization model that theorizes the process by which emerging key inhibiting factors are addressed via the implementation of (re-)actions to generate desired effects that are aligned with the organizational goals of actualized digitized product potentials, (b) we identify six key inhibiting factors that affect the generation of desired effects and that re-examine the role of data with respect to the “technology” element in affordance theory, and (c) we apply NCA to affordance theory for the first time and show how it can contribute to identifying critical factors during the realization of technology potentials. • Literature review: We have added more detail in appendix A about how we conducted our systematic literature review. • Formulation of propositions in Table 1 : To avoid redundancy in the formulation of the propositions, we have rewritten the propositions in the table creating three high-level propositions for each category and relating them to the investigated subfactors. • Contribution to digital innovation management: We have rewritten parts of the contribution to clarify how our findings add to the body of literature.
Authors
- Martin Mocker
- Jan Dul (ORCID: https://orcid.org/0000-0001-6844-2225)
- Eric van Heck (ORCID: https://orcid.org/0000-0002-8058-6640)
- Ainara Novales
Institutions
- IIT@MIT (US)
- Reutlingen University (DE)
- Erasmus University Rotterdam (NL)
Publication Details
- Journal
- Decision Support Systems
- Published
- 2024-11-04
- DOI
- https://doi.org/10.1016/j.dss.2024.114365
- Citations
- 5
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 2.64