Paper Number
ICIS2025-1336
Paper Type
Short
Abstract
This research-in-progress study explores the role of data in responsible digital transformation (RDT) decision-making. Despite the ongoing efforts of organizations to align digital innovation with ethical, societal, and environmental values, the mechanisms through which data enables or hinders such normative alignment have not been sufficiently explored. We analyze three key perspectives—Responsible Digital Transformation (RDT), Corporate Digital Responsibility (CDR), and Co-Transformation (CT) or Twin Transformation, to understand how each frames the function of data in organizational change. Through a conceptual synthesis of recent literature, we identify how data serves both as a mechanism of sensemaking and as a contested, value-laden structure that shapes what becomes visible, actionable, or legitimate in transformation efforts. Our contribution lies in clarifying the conceptual foundations of responsibility across these frameworks and laying the groundwork for future empirical research into how data shapes decision-making in responsible digital transformation.
Recommended Citation
Islam, Ariful; Järveläinen, Jonna; and Koskelainen, Tiina, "Role of Data in Responsible Digital Transformation" (2025). ICIS 2025 Proceedings. 6.
https://aisel.aisnet.org/icis2025/ethical_is/ethical_is/6
Role of Data in Responsible Digital Transformation
This research-in-progress study explores the role of data in responsible digital transformation (RDT) decision-making. Despite the ongoing efforts of organizations to align digital innovation with ethical, societal, and environmental values, the mechanisms through which data enables or hinders such normative alignment have not been sufficiently explored. We analyze three key perspectives—Responsible Digital Transformation (RDT), Corporate Digital Responsibility (CDR), and Co-Transformation (CT) or Twin Transformation, to understand how each frames the function of data in organizational change. Through a conceptual synthesis of recent literature, we identify how data serves both as a mechanism of sensemaking and as a contested, value-laden structure that shapes what becomes visible, actionable, or legitimate in transformation efforts. Our contribution lies in clarifying the conceptual foundations of responsibility across these frameworks and laying the groundwork for future empirical research into how data shapes decision-making in responsible digital transformation.
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