The importance of leadership is increasingly recognized in relation to digital transformation. Therefore, middle management and top management must have the competencies required to lead such a transformation. The purpose of this paper is to investigate the relationship between the digital leader competencies as set out by the European e-competence framework (e-CF) and the digital transformation of organizations. Also, the relationship between digital leadership competency (DLC) and IT capability is examined. An empirical investigation is presented based on a sample of 433 respondents, analyzed using PLS-SEM. The results strongly support our hypotheses. DLC has a strong impact on organizational digital transformation. A post-hoc analysis showed this is predominantly the case for the e-CF competencies of business plan development, architecture design, and innovating while business change management and governance do not seem to affect organizational digital transformation. This is the first empirical study to conceptualize, operationalize and validate the concept of DLC, based on the e-competence framework, and its impact on digital transformation. These findings have significant implications for researchers and practitioners working on the transformation toward a digital organization.
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Big data analytics received much attention in the last decade and is viewed as one of the next most important strategic resources for organizations. Yet, the role of employees' data literacy seems to be neglected in current literature. The aim of this study is twofold: (1) it develops data literacy as an organization competency by identifying its dimensions and measurement, and (2) it examines the relationship between data literacy and governmental performance (internal and external). Using data from a survey of 120 Dutch governmental agencies, the proposed model was tested using PLS-SEM. The results empirically support the suggested theoretical framework and corresponding measurement instrument. The results partially support the relationship of data literacy with performance as a significant effect of data literacy on internal performance. However, counter-intuitively, this significant effect is not found in relation to external performance.
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Although governments are investing heavily in big data analytics, reports show mixed results in terms of performance. Whilst big data analytics capability provided a valuable lens in business and seems useful for the public sector, there is little knowledge of its relationship with governmental performance. This study aims to explain how big data analytics capability led to governmental performance. Using a survey research methodology, an integrated conceptual model is proposed highlighting a comprehensive set of big data analytics resources influencing governmental performance. The conceptual model was developed based on prior literature. Using a PLS-SEM approach, the results strongly support the posited hypotheses. Big data analytics capability has a strong impact on governmental efficiency, effectiveness, and fairness. The findings of this paper confirmed the imperative role of big data analytics capability in governmental performance in the public sector, which earlier studies found in the private sector. This study also validated measures of governmental performance.
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