The HCL Review Podcast

Learn more about Dr. Westover's research, "Strategic Human Resource Management in the Dual TransformationEra: Integrating Post-Pandemic Work Redesign with Industry 4.0/5.0 Technologies."

Learn more about Dr. Westover's research, "Identity Work in Ethical Gray Zones: How Professional Identity Shapes Emotional Decision-Making in Boundary-Spanning Digital Work."

Learn more about Dr. Westover's research, "Navigating Power Dynamics in Sustainability Transformation: ExtendingIntegration Mechanisms Across Organizational Boundaries."

Abstract: Organizations face astronomical numbers of potential innovation pathways, yet most successfully navigate toward useful combinations of ideas, technologies, and processes. This article examines how theory-driven experimentation generates combinatorial salience within organizational contexts, enabling practitioners to identify promising innovations among indefinite possibilities. Drawing on recent advances in combinatorial innovation theory and cognitive science, we argue that organizational innovation depends on the capacity of organizational actors to theorize, reason causally, and experiment systematically. Through examination of contemporary organizational cases spanning healthcare, manufacturing, and technology sectors, we identify evidence-based interventions for building theory-driven innovation capacity. The article contributes to practice by offering actionable strategies for cultivating organizational environments where theory-laden experimentation accelerates learning cycles and enables discovery of novel yet feasible innovations.

Abstract: Organizations increasingly deploy artificial intelligence systems as active participants in decision-making processes, fundamentally altering traditional authority structures and accountability frameworks. This transformation requires systematic redesign of decision rights—the formal and informal protocols governing who decides what, when, and with what level of AI involvement. Drawing on organizational design theory and human-computer interaction research, this article examines how organizations are reconfiguring decision authority in human-machine systems. Evidence suggests that effective AI augmentation depends less on technical sophistication than on clarity of decision rights allocation, transparency mechanisms, and structured human-AI collaboration protocols. The analysis presents evidence-based interventions spanning governance architecture, capability development, and sociotechnical system design, offering practitioners actionable frameworks for navigating this transition while preserving human agency and organizational accountability.

Learn more about Dr. Jonathan H. Westover's research, "Navigating Paradox for Sustainable Futures: OrganizationalCapabilities and Integration Mechanisms in Sustainability Transformation."

Learn more about Dr. Jonathan H. Westover's research, "Navigating Power Dynamics in Sustainability Transformation: Extending Integration Mechanisms Across Organizational Boundaries."

Learn more about Dr. Jonathan H. Westover's research, "The Invisible AI Workforce: Redefining Technical Talent Acquisition for Artificial Intelligence."

Learn more about Dr. Westover's research, "The Strategic Recalibration of HR Leadership: Industry Migration Patternsand Organizational Implications."

An overview of Jonathan H. Westover's interdisciplinary career.