Peer-Reviewed Publications
Generative AI Models as Wicked Resources: A Dynamic Perspective on Resource Governance
Journal of Management | 2026 | Link
The proliferation of generative AI models fundamentally alters organizational capabilities, enabling novel value creation while challenging incumbent governance frameworks. Employing a phenomenon-driven approach, this study integrates and extends property rights theory (PRT) and stakeholder resource-based theory (SRBT) to address governance challenges posed by generative AI. By leveraging system dynamics modeling, we conceptualize the dynamic interplay among stakeholder claims, institutional arrangements, and value appropriation outcomes, highlighting how feedback loops, delays, and accumulations shape these interactions. Our analysis reveals two insights: First, stable equilibrium states in stakeholder claims and property rights arrangements may not invariably lead to equitable outcomes, due to stakeholder power disparities and attribution ambiguity associated with generative AI. Second, framing the evolution of generative AI models as organizational resources from the complementary perspectives of PRT and SRBT reveals distinct resource features largely unexamined in the strategy literature. Hence, we introduce the concept of “wicked resources,” characterizing generative AI models by their inherent attribution ambiguity and emergent unpredictability. Building on prior research on resource complexity and uncertainty in the strategy literature, wicked resources are marked by the difficulty firms face in delineating and enforcing control within shifting sociopolitical contexts. This paper makes three key contributions: addressing the dynamic, multi-stakeholder nature of generative AI governance; introducing wicked resources as a novel resource category in strategy and management literatures; and identifying theoretical gaps, advocating for a dynamic, systemic approach to property rights and stakeholder bargaining.
Strategic Agility, Exaptation, and Business Model Innovation: The Case of an SME
IEEE Transactions on Engineering Management | 2024 | Link
This study adopts a process view on business model innovation (BMI) to address multiple issues pertaining to theory and practice. First, BMI is challenging for most firms in part due to resource constraints that impose limitations on activities for opportunity identification and resource acquisition. To overcome these constraints, exaptation has recently been proposed by scholars as a way to innovate business models through the utilization of existing resources in new domains. However, research to date on exaptation in the context of BMI is limited with inadequate attention to the conditions that lead to exaptation. Second, in line with this research gap, scholars call for further process studies on BMI to explore the role of and the interdependencies among the antecedents in different contexts. To resolve these issues, this article investigates how strategic agility, an established organizational antecedent in the literature, leads to BMI through exaptation with a qualitative, in-depth, single-case study on a small- to medium-sized enterprise (SME). The findings of this study are threefold. First, the BMI process in the case unfolds in line with the stages of exaptation proposed in the literature. Second, the relationship between the underlying elements of strategic agility (SA) and BMI is highly complex and at times reciprocal, with SA and BMI switching roles in the causal relationship along the process. Third, strategic sensitivity and resource fluidity, two of the three metacapabilities underlying SA, in combination trigger exaptation, which leads to BMI. Therefore, this study proposes strategic agility as an enabling capability for exaptation.