Research Design

Data Analysis and Qualitative Coding

To attain a "systematic, transparent and reproducible review process", and identify research streams and seminal works, we first performed a bibliometric analysis of the initial dataset of 790 articles. In order to map the origin and evolution of the academic debate on digital transformation and leadership, a systematic coding analysis was conducted on the entire set of articles. Then, the iterative reading and discussion of the final dataset of articles highlighted the following emerging categories that guided our analysis: (i) theoretical or empirical papers; (ii) research methodology; (iii) level of analysis (micro and macro); (iv) definition of leadership and digitalization; (v) main themes or objectives of the article; (v) main underlying theories; (vi) field of study (e.g., Management and Planning, Economics and Business, Psychology and so forth). Based on this coding scheme, the three authors independently read and coded all articles. Subsequently, they discussed their coding attribution until an agreement on the final coding of each article was reached.