Analysing the factors for effective data governance: Indian e-governance context

Purpose This study aims to identify the critical factors and their inter-relationship structure as framework for data governance in e-governance in perspective of India. These critical factors are also been further explored for their priority along with classification into cause and effect categories. Design/methodology/approach For this paper, semi-structured interviews were conducted with experts to collect the data. The collected data are further analysed by applying ISM (interpretive structural modeling), MICMAC (matrix impact cross multiplication applied to classification) and DEMATEL (decision-making trial and evaluation laboratory) methodology. Findings This study finds 13 critical factors for success of data governance in government. Out of these, “Clear Role and Responsibility” is the most critical factor and “Stakeholder Selection” is the least critical factor. An inter-relationship stricture also been developed using these factors. Practical implications The study reveals the critical factors and their relationship for data governance in government. Overall, the results demonstrate a framework that can help public and private organizations to handle important factors for effective and successful data governance in e-governance. Originality/value There is lack of study for development of framework for critical factors of data governance in government. This study empirically contributes to literature by exploration and analysis of critical factors and their inter-relationship framework for data governance in government as first study and fill the research gap.