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Realizing desired effects from digitized product affordances: A case study of key inhibiting factors
Decision Support Systems ( IF 6.7 ) Pub Date : 2024-11-04 , DOI: 10.1016/j.dss.2024.114365
Ainara Novales, Martin Mocker, Eric van Heck, Jan Dul

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.

中文翻译:


从数字化产品可供性中实现预期效果:关键抑制因素的案例研究



尽管富含 IoT 的数字化产品具有潜力,但公司仍难以产生预期的影响。我们调查了已实现的数字化产品潜力(即可供性)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内部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,并探讨了抑制因子的出现如何阻止预期效果的产生。使用必要条件分析 (NCA),确定了六个关键抑制因素。我们的研究结果以三种方式为可供性理论和数字创新研究做出贡献:a) 我们提供了一个扩展的可供性-实现模型,该模型将新出现的关键抑制因素通过实施(重新)行动来解决出现的关键抑制因素的过程进行理论化,以产生与实现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并重新审视的六个关键抑制因素数据在可供性理论中与“技术”元素的作用,以及 (c) 我们首次将 NCA 应用于可供性理论,并展示它如何有助于在实现技术潜力期间识别关键因素。
更新日期:2024-11-04
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