Developing a Framework for Shared Responsibility: The Role of Digital Technology

Shiting Wang () and Haiat Perozzo ()
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Shiting Wang: Copenhagen Business School
Haiat Perozzo: LIUC – Cattaneo University

A chapter in Technologies for Organizations and Society, 2025, pp 369-386 from Springer

Abstract: Abstract In the realm of Information Systems (IS), shared responsibility is a crucial yet ambiguously defined concept. This study addresses the research gap by applying the Gioia Methodology to a dataset of first-order concepts derived from a systematic literature review. These concepts were distilled into second-order concepts and further aggregated into three overarching dimensions: Technological Adoption and Resistance, Information Control and Power Dynamics, and Trust and Transparency. Our findings emphasize the critical role of digital technologies in mediating shared responsibility. By comparing Internet of Things (IoT) and Generative Artificial Intelligence (Generative AI) technologies, we illustrate how each influence these aggregated dimensions differently. IoT enhances operational efficiency and transparency but can reinforce existing power structures, while Generative AI democratizes access to advanced capabilities yet complicates accountability due to its black-box nature. This study contributes to the IS field by providing a structured framework for understanding and defining shared responsibility, highlighting the evolving dynamics of human-technology interaction. Future research should focus on developing robust frameworks to support transparent and trustworthy relationships in digital ecosystems.

Keywords: Shared responsibility; Digital technology; IoT; Generative AI (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-032-01697-3_18

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DOI: 10.1007/978-3-032-01697-3_18

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