Realizing desired effects from digitized product affordances: A case study of key inhibiting factors

IF 6.7 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Ainara Novales , Martin Mocker , Eric van Heck , Jan Dul
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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.
实现数字化产品可视性的预期效果:关键抑制因素的案例研究
尽管物联网丰富的数字化产品具有潜力,但企业难以产生预期的影响。我们研究了实现的数字化产品潜力(即可视性)与组织目标的一致性,研究了关键抑制因素的出现如何影响预期效果的产生。我们对一家专业设备制造商的四个已实现的数字化产品潜力进行了嵌入式单一案例研究,并探讨了抑制因素的出现如何阻止预期效果的产生。通过必要条件分析(NCA),确定了6个关键的抑制因素。我们的研究结果在三个方面为支持理论和数字创新研究做出了贡献:A)我们提供了一个扩展的可视性-实现模型,该模型将通过实施(重新)行动来解决新兴关键抑制因素的过程理论化,以产生与已实现的数字化产品潜力的组织目标一致的预期效果;(b)我们确定了影响预期效果产生的六个关键抑制因素,并重新审视了数据在可视性理论中与“技术”元素相关的作用。(c)我们首次将NCA应用于功能化理论,并展示了它如何有助于识别技术潜力实现过程中的关键因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Decision Support Systems
Decision Support Systems 工程技术-计算机:人工智能
CiteScore
14.70
自引率
6.70%
发文量
119
审稿时长
13 months
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).
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