IT Governance and its Mechanisms
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ItemTowards a Taxonomy of Ecosystem Data Governance( 2021-01-05)Despite being in competitive relations, organizations increasingly engage in data-centric collaborations to utilize access and provision to distributed data sources. Over time, these relations have evolved from dyadic relationships to the emergence of complex ecosystems. These ecosystems are characterized by multiple autonomous organizations that engage in data sharing to leverage data-driven innovation. For value propositions based on data to materialize, the configuration of data governance can provide fundamental control mechanisms that influence the design, dynamics and success of the collaboration. In the context of ecosystems, data governance is considered an under-researched topic. This paper investigates both concepts and identifies the main conceptual characteristics of ecosystem data governance. We develop a taxonomy of ecosystem data governance that comprises eight dimensions and twenty four characteristics to improve the conceptual understanding of data governance in data ecosystems.
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ItemThe Role of Enterprise Architecture in Building and Sustaining Information Technology – Enabled Organizational Agility( 2021-01-05)To survive in a dynamic environment, an organization must possess the ability to swiftly sense changes and (re)deploy reconfigurable resources in response to the changes (i.e., organizational agility). The literature suggests information technology (IT) can enable and constrain organizational agility, making IT-enabled organizational agility usually fleeting. Drawing on a systematic review of 43 articles and on organizational agility theories, this study identifies two main roles that EA can play in building and sustaining IT-enabled organizational agility. First, EA can endow IT-enabled resources with architectural properties that make them reconfigurable. Second, EA process practices provide the ability to form, continually improve, and redeploy reconfigurable IT-enabled resources in response to emerging changes. The architecture properties and EA process practices, together with their implications are discussed. This study contributes to clarifying the link between EA and IT-enabled organizational agility and to explaining how EA can help build and sustain IT-enabled organizational agility.
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ItemHow Boards of Directors Can Contribute to Governing IT( 2021-01-05)Digital transformation is becoming ubiquitous as organizations increasingly rely on IT to create business value. As a result, IT strategy is increasingly intertwined with organizational strategy, with risks as IT becomes progressively more important, requiring both management and governance. Given boards of directors are ultimately accountable for strategic decision-making and control, these changes charge boards with accountability for governing digital assets. Whilst board-level IT governance should enable better organizational performance, research suggests that the value created by the board in governing IT depends on the roles they play. In exploring these roles, we use the more mature research domain of corporate governance to develop improved understanding of the type of board roles and the importance assigned by a board to governing IT.
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ItemExploring the Dimensions and Attributes of A Maturity Model for IT Governance Organizational Structures( 2021-01-05)Organizations active in today’s digitally transforming world require sound IT governance (ITG). Besides processes and relational mechanisms, organizational structures (e.g. IT steering committee) are a key component of ITG. In the context of improving ITG, most of the (limited) existing research however has focused on the process component. The goal of the present research is to determine how ITG structures can be systematically improved. By drawing on the maturity model concept, this paper presents the first version of a maturity model for ITG structures.
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ItemDesigning an IT Risk Management Ontology grounded on Systematic Literature Review( 2021-01-05)Organizations that operate digital-based services rely heavily on Information Technology (IT). Nonetheless, this IT dependency inducts risks that could impact the achievement of organizations goals and even its own survival. One usual solution is to enforce an IT Risk Management (RM) approach to cope with IT-related risks. However, due to IT RM complexity and diversity, many organizations are not able to implement it successfully. Therefore, an IT RM ontology capturing the essential of IT RM concepts and its relations constitute a positive step towards the simplification and clarification of IT RM, which by its turn facilitates the IT RM enforcement. This paper designs an IT RM ontology, using DEMO, that is grounded in a SLR that follows the Kitchenham (2004) guidelines. The objective is to prescribe what key concepts, relationships and processes should be enforced to reduce the IT RM implementation effort when compared with an implementation from scratch.
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ItemCapturing Co-evolutionary Information Systems Alignment: Conceptualization and Scale Development( 2021-01-05)Co-evolutionary approaches to business-IT alignment, such as Co-evolutionary information systems alignment (COISA), have gained attention from scholars and practitioners over the last decade. COISA is an organizational capability defined as continuously exercised alignment competencies, characterized by co-evolutionary interactions between heterogeneous IS stakeholders, in pursuit of a common interpretation and implementation of what it means to apply IT in an appropriate and timely way. In spite of some conceptual and empirical work on COISA, a validated operationalization for empirical measurements for science and practice is not available in the extant literature. We developed a measurement scale through acknowledged procedures, entailing a multivariate structural model consisting of specific facilitators leading to effective alignment competencies. To the best of our knowledge, we are the first to propose such a scale.
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ItemAssessing Requirements for Agile Enterprise Architecture Management: A Multiple-Case Study( 2021-01-05)Agile enterprise architecture management (EAM) is a means to cope with the pressure for continuous architectural change in the context of short innovation cycles. However, the literature states a lack of practical EAM approaches. Therefore, this study aims at fostering the development of agile enterprise architecture frameworks (EAFs) by providing agile requirements and implementation concepts based on a literature review and an exploratory multiple-case study in three organizations of the logistics and construction tools industry. The multiple-case study's ranking by importance sets the focus on three requirements, for which implementation concepts are revealed. The gained insights make the concept and benefits of agile EAM tangible, indicate a shared understanding between the cases, and afford opportunities for future research.
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ItemAn Empirical Assessment of the Impact of Strategy Implementation Actions on Digital Business Strategy( 2021-01-05)In this paper we investigate the effect of strategy implementation actions (SIA) on the implementation of a digital business strategy (DBS). The result presented in this paper are based on an online survey with 191 responses from senior vice presidents and vice presidents of a large German manufacturing organization. Using structural equation modeling (SEM), we find a positive significant effect SIA on the implementation of a DBS. This is an important implication for academics and practitioners alike, as the actions can serve as implementation guidelines in the future.
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ItemAn Approach for the Financial Viability Assessment of Cloud Migration Projects( 2021-01-05)Organisations moving legacy applications to the public cloud are increasingly having to reassess their decisions post-migration due to budget overruns resulting from insufficient planning and limited understanding of the constraints with the public cloud operating model. To date, there has been limited research on the assessment of public cloud suitability for legacy applications, which can lead to incomplete analysis and inappropriate platform choices and high-risk cost estimates. To address these shortcomings, we extend our previously proposed Cloud Decision Framework by incorporating a generalised Financial Viability Assessment process and methodology to help decision-makers make more efficient and effective migration decisions. The framework includes an automated approach for financial viability assessment using predefined application sizes via a Parametric Estimation Model. The proposed approach is validated by application to two real-world, anonymised case studies with results indicating that it is more likely to reduce budget overruns and increase productivity compared to current approaches.
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