Ainara Novales , Martin Mocker , Eric van Heck , Jan Dul
{"title":"Realizing desired effects from digitized product affordances: A case study of key inhibiting factors","authors":"Ainara Novales , Martin Mocker , Eric van Heck , Jan Dul","doi":"10.1016/j.dss.2024.114365","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"189 ","pages":"Article 114365"},"PeriodicalIF":6.7000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Decision Support Systems","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167923624001982","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍:
The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs).