Organizational change is the central challenge of contemporary leadership. The pace of environmental change — technological disruption, competitive dynamics, regulatory shifts, workforce demographic change, geopolitical realignment — demands that organizations change faster than they are naturally inclined to. Leaders who can successfully catalyze organizational change at scale — not merely announce change, but actually shift employee behaviors, redesign organizational processes, and sustain the momentum of transformation through the inevitable resistance, setbacks, and competing priorities — are among the most valuable and difficult to develop in the leadership landscape. DB8630 develops the scholarly and practical foundations for this capability.
Organizational change management frameworks
Evidence-based frameworks for leading organizational transformation
- Kotter's 8-step model: DB8630 examines John Kotter's (1996, 2014) change management framework — one of the most widely adopted models in organizational change practice. The eight steps (establish urgency, create a guiding coalition, develop a vision and strategy, communicate the vision, empower broad-based action, generate short-term wins, consolidate gains and produce more change, anchor new approaches in the culture) emerged from Kotter's analysis of what distinguished successful from failed major change efforts. The model has been updated to an "dual operating system" (Kotter, 2014) concept that distinguishes the change network (fast, agile, experimental) from the management hierarchy (stable, reliable, efficient) — and argues that high-performing organizations need both operating simultaneously. The evidence on Kotter's model is primarily case-based rather than experimental, reflecting the difficulty of randomized study of organization-wide change, but the model's widespread adoption reflects its face validity and practical usefulness as an organizing framework
- Lewin's force field analysis and change model: Kurt Lewin's (1947) unfreezing-changing-refreezing model — one of the earliest formal change management frameworks — remains influential because its underlying social-psychological logic is sound. Unfreezing (creating motivation to change by disrupting the status quo equilibrium); moving (changing behaviors, processes, and structures toward the desired state); and refreezing (stabilizing the new equilibrium by reinforcing and institutionalizing the changes). Lewin's force field analysis (mapping the driving forces pushing toward change and the restraining forces resisting it, then identifying which forces can be strengthened or weakened to shift the equilibrium) provides a practical diagnostic tool for change strategy development. Critics note that the model's assumption of a stable "refreezen" equilibrium is less appropriate in environments of continuous change — Weick's (2000) critique of the model from a continuous change perspective suggests that change is better understood as ongoing adaptation rather than discrete freeze-change-refreeze cycles
- ADKAR and prosci models: The ADKAR model (Hiatt, 2006) — Awareness, Desire, Knowledge, Ability, Reinforcement — provides an individual-level change framework that complements organizational-level models. Each ADKAR element represents a necessary condition for successful individual behavior change: awareness of the need to change; desire to participate in and support the change; knowledge of how to change; ability to implement the required skills and behaviors; and reinforcement to sustain the change. The ADKAR model is particularly useful for diagnosing why change implementations stall — identifying the specific barrier point (typically desire or reinforcement) where individuals are getting stuck
Enterprise agility and agile workforce transformation
DB8630 examines enterprise agility — the organizational capability to sense environmental changes rapidly and reconfigure resources, processes, and strategies in response — as a core competitive requirement in high-velocity business environments. Enterprise agility extends beyond software development's Agile methodologies (Scrum, Kanban, SAFe) to encompass organizational design principles that enable rapid adaptation across all organizational functions: modular organizational structures that can be reconfigured without extensive bureaucratic process; decision rights pushed to the level closest to the relevant information; short feedback loops that surface performance information rapidly; experimentation cultures that tolerate failure in service of learning; and psychological safety that enables candid discussion of performance gaps and strategic pivots. The course examines the agile workforce transformation challenge — how organizations that were designed for stability (hierarchical, process-standardized, role-specialized) transform toward agility (networked, adaptive, multi-skilled) without losing the coordination, quality, and reliability advantages that their current structures provide. Research on agile transformation at scale (McKinsey research on Agile at Scale; Deloitte's enterprise agility research) suggests that the most successful transformations start with senior leadership commitment and organization design change rather than with scaling Agile methodology adoption — technology and methodology are enablers, but structural and cultural change is the core transformation challenge.
Leading complex change: employee behavior change
DB8630 examines the behavioral science of employee behavior change — what the psychological research tells us about how individuals change, what facilitates and impedes change, and how leaders can design change processes that work with rather than against human psychological tendencies. Richard Thaler and Cass Sunstein's nudge theory (2008) demonstrates that environmental design (the architecture of choices) can substantially influence behavior without coercion or incentives — making desired behaviors easier and default while making undesired behaviors require active effort. James Clear's Atomic Habits framework (2018) — drawing on behavior science research — identifies four factors that determine habit formation: cue (the trigger that initiates the behavior), craving (the motivation or desire for change), response (the behavior itself), and reward (the satisfying consequence that reinforces the behavior). Change leaders who redesign the cue-craving-response-reward cycle for target behaviors can produce more durable behavior change than traditional training-and-incentive approaches. The course also examines resistance to change through both psychological and sociological lenses: individual-level resistance (threat to status, competence anxiety, loss of control, violation of implicit psychological contracts); group-level resistance (group norms that penalize deviance from the status quo, loss of collective identity); and organizational-level resistance (structural inertia from sunk costs, complementary assets, and political interests embedded in existing structures — Hannan and Freeman's structural inertia theory).
Data collection and CITI ethical research certification
DB8630 develops data collection competencies for change research and assessment, and provides CITI (Collaborative Institutional Training Initiative) certification for ethical conduct of human subjects research — a requirement for DBA capstone research involving organizational data collection. The course examines quantitative data collection approaches for change research: pre-post survey designs that measure attitudinal and behavioral change from baseline to post-implementation; pulse surveys that provide continuous change monitoring during implementation; and organizational performance metrics that measure change outcomes at the team and unit level. Qualitative data collection approaches for change research: structured and semi-structured interviews with change participants to understand their experience of and response to the change initiative; focus groups for exploring collective sense-making around change; and observation protocols for documenting whether espoused behavior changes are reflected in actual practice. The CITI certification component covers human subjects research ethics: the Belmont Report principles (respect for persons, beneficence, justice) as the foundational ethical framework; informed consent requirements and procedures; IRB review processes and exemption criteria; confidentiality and data security obligations; and the specific ethical considerations that arise in organizational research where participants are subordinates of the researcher and where the power relationship complicates voluntariness of participation.
DB8630 assignments include change management analyses, agility assessments, employee behavior change plans, and data collection designs
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Frequently asked questions
DB8630 addresses this question directly — because understanding the failure modes of organizational change is as important as understanding success models, and because the "70% of change initiatives fail" statistic (which is frequently cited but poorly sourced) has generated more anxiety than insight. The rigorous research on change success and failure identifies several patterns. Insufficient attention to the human dynamics of change: change initiatives that focus on the technical and process dimensions of change (new systems, new structures, new processes) while neglecting the people dimensions (addressing resistance, building commitment, developing capability, managing the emotional journey of transition) consistently underperform. John Kotter's research found that most failed transformations were undermined at the early stages — insufficient urgency, insufficient coalition, insufficient vision communication — rather than at the implementation stages, suggesting that front-loading change planning investment on building the social and psychological foundations of change is more important than perfecting the change plan itself. Underestimating organizational inertia: structural inertia (Hannan and Freeman) and cultural inertia (Schein) mean that organizations are far more resistant to fundamental change than their leaders assume — not because people are obstinate, but because organizations have evolved multiple mutually reinforcing structures and routines that collectively resist deviation. Leaders who underestimate this inertia set unrealistic timelines, declare victory prematurely (Kotter's warning about the short-term wins trap), and abandon change before it is embedded enough to sustain without active change management attention. The honest evidence base: while change management frameworks provide useful organizing principles, the rigorous experimental or quasi-experimental evidence on which specific practices most reliably produce successful large-scale organizational change is thinner than the practitioner literature suggests. DB8630 develops the scholarly perspective to evaluate change management claims critically rather than accepting them on authority.