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Many researches have dedicated their work in IT Governance and numerous methods, techniques and tools for making decisions to align IT to a business strategy were proposed in the last decade. In the meantime new digital business models developed rapidly and aligning business with IT have become more difficult ever. Governance frameworks are widely used to reduce complexity in the decision making process and organisations tend to use several topic related governance frameworks beside IT Governance. Different governance frameworks are related, dependent and interact under each other and since they all have their own method of measurement and evaluation, the interaction suffers of a lack of data consistency or they do not take all dimensions of decision making into account. Furthermore the lack of consistency is caused by definition of governance frameworks itself and lead to concurring goals among governing bodies. My work proposes a design goal for a method of measurement by (1) critically review the existing state of art of measurement and evaluation concepts of governance frameworks by following a comprehensive review of the normative literature dealing with the measurement aspects of IT Governance and (2) analysing a dataset (n=51) of a preliminary study done in spring 2017 with Swiss companies and (3) introduce design principles for data collection in order to gather consistency of evaluation in Enterprise Governance of IT (EGIT).

The study examines the relationship between the governance program teams, business user participation, and innovation in data compliance projects. Many firms continue to struggle with their governance programs as its effective implementation requires organizational change and a higher rate of involvement of those with significant knowledge of the context of the system use. Leadership elements are observed in governance teams and the way how these elements impact both, participation and innovation in recent General Data Protection Regulation (GDPR) data compliance efforts. To test the hypotheses, a quantitative method with Structural Equation Modelling and Partial Least Squares (PLS) in SmartPLS tool are used. The empirical data are collected from 98 data management professionals involved in projects associated with customers' data in larger organizations across European Union (EU). Research findings show that Governance Team Leadership (GTL) influence positively Line-of-Business Stakeholders Participation (LOBSP) and LOBSP influence positively Data Compliance Innovation (DCI) in GDPR efforts. Moreover, it shows that LOBSP is the underlying mechanism (mediator) of the relationship GTL and DCI. Data governance transfers data and information management towards managerial functions and strategic management. Data has become embedded within nearly every department and business unit, and its proper enterprise-wide governance requires much more rigorous alignment with business users and formation of one cross-functional unit – data stewardship team of proactive leaders. In opportunities and restrictions of data revolution underway, evidence of any sustainable organizational practices leading to innovations and competitive advantage is beneficial.

Many researchers have dedicated their work in IT Governance, and numerous methods, techniques and tools for making decisions to align IT to a business strategy were proposed in the last decade. In the meantime, new digital business models developed rapidly and aligning business with IT has become more difficult than ever. Governance frameworks are widely used to reduce complexity in the decision-making process and organisations tend to use several topics related governance frameworks besides IT Governance. Different governance frameworks are related, dependent and interact under each other, and since they all have their own method of measurement and evaluation, the interaction suffers from a lack of data consistency or they do not take all dimensions of decision-making into account. Furthermore, the lack of consistency is caused by the definition of governance frameworks itself and leads to concurring goals among governing bodies. This paper proposes a design goal for a method of measurement by (1) critically reviewing the existing state of art of measurement and evaluation concepts of governance frameworks, by following a comprehensive review of the normative literature dealing with the measurement aspects of IT Governance, and (2) analysing a dataset (n=51) of a preliminary study done in spring 2017 with Swiss companies.

Many researches have dedicated their work in IT Governance and numerous methods, techniques and tools for making decisions to align IT to a business strategy were proposed in the last decade. In the meantime new digital business models developed rapidly and aligning business with IT have become more difficult ever. Governance frameworks are widely used to reduce complexity in the decision making process and organisations tend to use several topic related governance frameworks beside IT Governance. Different governance frameworks are related, dependent and interact under each other and since they all have their own method of measurement and evaluation, the interaction suffers of a lack of data consistency or they do not take all dimensions of decision making into account. Furthermore the lack of consistency is caused by definition of governance frameworks itself and lead to concurring goals among governing bodies. This paper proposes a design goal for a method of measurement by (1) critically review the existing state of art of measurement and evaluation concepts of governance frameworks by following a comprehensive review of the normative literature dealing with the measurement aspects of IT Governance and (2) analysing a dataset (n=51) of a preliminary study done in spring 2017 with Swiss companies.

Many researches have dedicated their work in IT Governance and numerous methods, techniques and tools for making decisions to align IT to a business strategy were proposed in the last decade. In the meantime new digital business models developed rapidly and aligning business with IT have become more difficult ever. Governance frameworks are widely used to reduce complexity in the decision making process and organisations tend to use several topic related governance frameworks beside IT Governance. Different governance frameworks are related, dependent and interact under each other and since they all have their own method of measurement and evaluation, the interaction suffers of a lack of data consistency or they do not take all dimensions of decision making into account. Furthermore the lack of consistency is caused by Definition of governance frameworks itself and lead to concurring goals among governing bodies. This paper proposes a design goal for a method of measurement by (1) critically review the existing state of art of measurement and evaluation concepts of governance frameworks by following a comprehensive review of the normative literature dealing with the measurement aspects of IT Governance and (2) analysing a dataset (n=51) of a preliminary study done in spring 2017 with Swiss companies.

This study examines the variables of digital maturity of companies. The framework for enterprise architectures Archimate 3.0 is used to compare the variables. The vari¬ables are assigned to the six layers of architecture: Strategy, Business Environment, Applications, Technology, Physical and Implementation and Migration. On the basis of a literature overview, 15 "digital maturity models" with a total of 147 variables are analyzed. The databases Scopus, EBSCO – Business Source Premier and ProQuest are used for this purpose.The results of the work will help researchers and managers to identify which digitiza¬tion variables affect the different layers of the company. This enables researchers or managers to use the right model for a specific purpose or to create a new model from a combination of existing models for the entire company or just one architectural layer.On the basis of a more precise assessment of the digital maturity of a company, better actions can be derived. This work is important for companies, as the digitization of enterprises and markets changed similarly to the invention of the steam engine did. Websites, sensors, mobile devices, apps, etc. are combined into new digital products and services. The competitors in the market have to adapt. If this is not done, they will increasingly disappear.Finally, the authors suggests a conclusion about the current situation regarding the measurement of digital maturity in companies and show in which areas further studies could be carried out.