Survey dataset of Dynamic Capabilities for leading and managing Digital Transformation initiatives

The dataset presented in this article originates from a study aimed at developing a Dynamic Capabilities (DC) framework for managing Digital Transformation (DT) initiatives in organizations, integrating Change Management (CM).
The data were collected using a mixed-methods approach, which included qualitative expert interviews and two quantitative surveys. The two surveys that were conducted: Expert Survey and Mass Survey. The first (Expert Survey) consisted of 130 questions and included responses from 31 DT experts, assessing their expertise in DT and the importance, difficulty, and extent performed of DC (Sensing , Seizing, and Transforming) routine activities. The second survey (Mass Survey) consisted of 38 questions and comprised 446 responses from professionals across fifty-one countries and various industries; it evaluated the framework’s applicability in real-world organizational contexts. The Mass Survey included the DT challenges, organizational culture profiles, dynamic capabilities, and demographic details such as level of focus and organization size. Both surveys asked participants to rate their level of DT success and specify their organisation’s industry type.
The data from both surveys are structured into categorical and Likert scale responses. The dataset can be used for further analysis, including comparative studies of DT strategies across sectors or regions, and for developing tools for managing DT. Additionally, it holds potential for reuse in training and educational materials for managers and practitioners overseeing DT projects.
The Excel sheet has four tabs: (1) Variables Expert Survey, (2) Expert Survey Data, (3) Variable Mass Survey, and (4) Mass Survey Data. The Variable tabs (1 and 3) provide the variables that were used in the Expert and Mass Surveys respectively. The Data sheets (2 and 4) are the raw datasets that were collected from participants.