AIS Logo
← Back to Library
Digital Transformation Toward Data-Driven Decision-Making: Theorizing Action Strategies in Response to Transformation Challenges

Digital Transformation Toward Data-Driven Decision-Making: Theorizing Action Strategies in Response to Transformation Challenges

Sune D. Müller, Michael Zaggl, Rose Svangaard, Anja M. Jakobsen
This study investigates and theorizes how business leaders can overcome the challenges of digital transformation toward data-driven decision-making. Using an in-depth, qualitative case study of Smukfest, a large Danish festival, the research develops a framework of action strategies for leadership.

Problem Many organizations fail to achieve their digital transformation objectives because business leaders are often overwhelmed by the associated technical, organizational, and societal challenges. There is significant uncertainty and a lack of actionable guidance on how leaders should strategize and manage the transition to a data-driven culture.

Outcome - Business leaders face significant organizational challenges (e.g., resistant culture, fear of surveillance) and strategic challenges (e.g., balancing intuition with objectivity, unifying the leadership team).
- Leaders can manage these challenges through mitigating actions such as creating a sense of digital urgency, developing digital competencies, using storytelling to communicate potential, and acting as role models.
- The paper proposes the 'Executive Action Strategies of Engagement (EASE)' framework, which outlines four strategies (Unite, Organize, Manage, Participate) to guide leaders.
- The EASE framework provides a new, empirically grounded perspective on managing digital transformation by clarifying the roles and actions required of business leaders.
Digital Transformation, Leadership, Data-Driven Decision-Making, Case Study, EASE Framework, Organizational Culture, Action Strategies