Business and Information Technology Alignment Measurement -- a recent Literature Review

Since technology has been involved in the business context, Business and Information Technology Alignment (BITA) has been one of the main concerns of IT and Business executives and directors due to its importance to overall company performance, especially today in the age of digital transformation. Several models and frameworks have been developed for BITA implementation and for measuring their level of success, each one with a different approach to this desired state. The BITA measurement is one of the main decision-making tools in the strategic domain of companies. In general, the classical-internal alignment is the most measured domain and the external environment evolution alignment is the least measured. This literature review aims to characterize and analyze current research on BITA measurement with a comprehensive view of the works published over the last 15 years to identify potential gaps and future areas of research in the field.Comment: 12 pages, Preprint version, BIS 2018 International Workshops, Berlin, Germany, July 18 to 20, 2018, Revised Paper

On exposing strategic and structural mismatches between business and information systems: misalignment symptom detection based on enterprise architecture model analysis = Stratégiai és strukturális összehangolási zavarok feltárása az üzleti és informatikai területek között: összehangolási zavarok tüneteinek azonosítása vállalati architektúra modellek elemzésével

One of the most important issues on information systems (IS) research is the need to align business with information systems and information technology (IT). Since information systems facilitate the success of business strategies, the importance of business-IT (or strategic) alignment is unquestionable. While organisations address alignment achievement, they are continually suffering from misalignments. These difficulties (the misalignments) encumber the achievement of alignment, and lead us to the phenomenon of misalignment. This Ph.D. dissertation deals with the concept of misalignment, with special attention on enterprise architecture (EA)-based analytical potential. The main purpose of the proposed research is to analyse strategic misalignment between the business dimension and the information systems dimension. The problem of business-IT alignment is translated into the aspects of enterprise architecture. The study aims to accomplish an EA-based, systematic analysis of mismatches between business and information systems

A systematic literature review on business-IT misalignment research

There has been a large body of research on strategic alignment between business and information technology, which has also been summarised in several literature reviews. All of these studies describe that business-IT alignment has remained a focal point among business and IT leaders. However, little is known about a specific perspective, namely, on business-IT misalignment, on which, although some analytical works have been carried out over the last twenty years, no literature review has been summarised. The purpose of this article is to display and analyze relevant literature regarding business-IT misalignment and map the influential issues by conducting a systematic literature review. This study collected in sum 642 papers published from the Scopus and Google Scholar databases. Finally, 62 articles were selected for the systematic review. The study examined eight research questions for business-IT misalignment derived from recent, high-impact business-IT alignment literature reviews. Results are analyzed qualitatively to find a better understanding of the current body of knowledge in business-IT misalignment and to provide a research agenda

An Artifact-Based Framework for Business-IT Misalignment Symptom Detection

Part 2: Regular PapersInternational audienceEnterprise architecture-based approaches give an in-depth analytic potential for alignment and misalignment assessment. The ability to incorporate these analytic potentials is an ongoing concern in the state-of-the-art strategic alignment literature. This paper proposes a framework for EA artifact-based misalignment symptom detection. The framework aims to perform a systematic, EA-based analysis of mismatches between the business and IT dimensions of the traditional Strategic Alignment Model (SAM). By operating the framework, containing EA-artifacts and suitable EA analysis types are connected to typical misalignment symptoms along the traditional alignment perspectives. The operation of the framework is illustrated with a case study about a fleet management project at a road management authority