THE ROLE OF DATA ANALYTICS MATURITY, ORGANIZATIONAL LEARNING, AND KNOWLEDGE-ORIENTED LEADERSHIP IN SUPPORTING ORGANIZATIONAL EXPLORATIVE AND EXPLOITATIVE INNOVATION CAPABILITY

• Main Author: Ratna A.K.K., Destina
• Format: Dissertations
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/80405
• Institution: Institut Teknologi Bandung

Introduction: The ability to continuously innovate has been widely realized as crucial for organizations to survive and be sustainable. Hence, the activity of explorative and exploitative innovation becomes essential for organizations. One of the keys to successful innovation in a turbulent environment is leadership from top management and executives in organizations. Moreover, the role of knowledge-oriented leadership in promoting innovation within organizations has received considerable attention in recent studies. Besides knowledge-oriented leadership, organizational learning is also considered an important factor in boosting innovation capability in organizations. Purpose: Developing a data analytics maturity model and testing the influence of data analytics maturity, organizational learning, and knowledge-oriented leadership in increasing the company's explorative and exploitative innovation capabilities. Method: This study examined both the indirect and direct impacts of knowledge- oriented leadership and organizational learning on fostering explorative and exploitative innovation through data analytics maturity. Data were collected from 116 participants working in medium and large organizations across different industries in Indonesia using a web-based questionnaire. Data were analyzed using partial least squares-structural equation modeling (PLS-SEM). Results: Organizational learning has a significant direct impact on both explorative and exploitative innovation. The findings also show that although knowledge-oriented leadership does not directly impact both kind of innovation, it still demonstrates a strong indirect impact on explorative and exploitative innovation through data analytics maturity. Hence, this study confirms that as a third-order construct comprising five dimensions (organizational culture, data governance, strategy management, skills, and technology), data analytics maturity plays an important role in fostering explorative and exploitative innovation in companies.