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

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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. In the following study, the problem of business-IT alignment will be translated into the aspects and concepts of enterprise architecture. The main purpose of the proposed research is to analyse strategic misalignment between the business dimension and the information systems dimension. In this Ph.D. dissertation, an analytical solution will be built to approach the topic of strategic alignment from an EA-based perspective. The study aims to accomplish an EA-based, systematic analysis of mismatches between business and information systems. The operation, the correctness, as well as the relevance of the framework will be validated via a case study. The contribution of the proposed study lies in connecting typical misalignment symptoms to relevant EA analysis types along traditional alignment perspectives. The significance of the proposed research is the clear and accurate compound of research methods and implementation instruments to approach EA-based misalignment symptom detection. The results of the proposed research will contribute to alignment assessment by expanding the ways of addressing alignment problems. The proposed research framework has the potential to extend our understanding on assessing the state of misalignment in a complex EA model structure.

The impact of the COVID pandemic was not only health-related but also had a significant impact on the way companies operate. Most commonly, the impact of enforced digitalisation can be mentioned, which was dominated by the implementation of enforced remote working. We aim to explore how Hungarian SMEs were facing challenges of the COVID-19 situation and using digital technologies to overcome these challenges, what were the changes which reflected in their operations. To understand the impact of the pandemic and to explore the role of digital technologies in the first part of the research a survey was conducted. 120 companies participated, 58% were SMEs and the rest are enterprises. Data was collected in the third quarter of 2021, more than one year after the emergence of the epidemic in Europe, and by then we had passed the third wave of the epidemic in Hungary.