Abstract. This paper investigates the suitability of the ArchiMate modelling language for the purposes of modelling value and related concepts and approaches. Based on this we propose several improvement which can help enterprise architects come one step closer to being able to model all aspects of an organisation, from its strategy, to the value it should create and deliver, to the abilities which are needed to realise this value, and to the architecture which supports this value creation and delivery. This can aid with motivating the value of a project, making changes directly aimed at improving customer value, and visualising the value exchanges within the value network of the organisation.

This paper investigates whether the ArchiMate modelling language can be used to model the most commonly used strategy models and concepts. This can be considered as an important step into closing the gap between Business and IT. By having a better understanding of what is needed to model strategy, we can analyse if the current version of the ArchiMate modelling language is sufficient or what additions need to be made. Also by knowing how the strategic concepts are used in the context of business we hope to improve the way they are modelled with ArchiMate. In order to do this, we start by taking a look at the strategic planning process and identify its main concepts. It starts by presenting the strategic planning process and its corresponding concepts and strategy models. This is followed by an analysis of the suitability of ArchiMate in which we argue that resource and capability concepts are concepts that should be included in the next versions of the language. Lastly, we demonstrate how strategy can be modelled with the help of a case study.

Processing IoT applications directly in the cloud may not be the most efficient solution for each IoT scenario, especially for time-sensitive applications. A promising alternative is to use fog and edge computing, which address the issue of managing the large data bandwidth needed by end devices. These paradigms impose to process the large amounts of generated data close to the data sources rather than in the cloud. One of the considerations of cloud-based IoT environments is resource management, which typically revolves around resource allocation, workload balance, resource provisioning, task scheduling, and QoS to achieve performance improvements. In this paper, we review resource management techniques that can be applied for cloud, fog, and edge computing. The goal of this review is to provide an evaluation framework of metrics for resource management algorithms aiming at the cloud/fog and edge environments. To this end, we first address research challenges on resource management techniques in that domain. Consequently, we classify current research contributions to support in conducting an evaluation framework. One of the main contributions is an overview and analysis of research papers addressing resource management techniques. Concluding, this review highlights opportunities of using resource management techniques within the cloud/fog/edge paradigm. This practice is still at early development and barriers need to be overcome.

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This review paper aims to explore state-of-the-art research and scientific literature about Enterprise Architecture (EA) resilience. Based on a systematic literature review, 850 articles have been subjected to evaluation for relevance. Based on the findings in 58 selected papers, we conclude that the field of EA resilience is still in its infancy. We identified several definitions and classified six types of resilience measures, based on information type (qualitative/quantitative), the source of the disruption (internal/external), and the duration of the resilience (short-term/long-term). Based on the review, we found 19 metrics that are candidates for EA practitioners to consider for the design of measurement and assessment methods for EA resilience. In addition, we identified relevant research from Information Systems sub-domains and other sciences that can be incorporated to create a holistic view on EA resilience. Based on published definitions of resilience in the selected papers, we propose a definition of the concept of EA resilience. This definition is validated using expert opinion and creates a starting point for reasoning about EA resilience and future research.

Solving urbanization problems, especially in developing countries, solely through the adoption of smartness in urban areas is insufficient as urbanization is mostly driven by the wide urban-rural economic gap. To narrow this gap, the adoption of smartness needs to be extended into rural areas. However, studies in that direction are still lacking. Therefore, we developed a theoretical model that explains the determinants of rural smartness and its subsequent consequences on rural economic welfare. We validated the model with survey data from 179 villages in West Java Province, Indonesia. The results suggest that rural smartness is determined by the interplay of organizational, environmental, and technological readiness, and has a strong positive impact on innovativeness which, in turn, improves the competitiveness of the rural business ecosystem. This model can serve as a reference for further studies of rural smartness and as the foundation for the design of information platforms supporting it.

The utilisation of information technology to facilitate “smartness” is considered as a promising approach to improve the rural economy. However, the explanation of how the adoption of smartness in rural areas can lead to an improvement in the citizen’s economic welfare is still lacking in current studies. This paper aims to formulate a theoretical model that explains the causal mechanism of smartness adoption in rural areas to contribute to the improvement of rural citizen’s economic welfare. To achieve this, we conducted a systematic literature review based on three research questions resulting in 119 selected articles, which we used to formulate a theoretical model. The proposed model posits that rural smartness has a mediating effect on the citizen’s economic welfare through its positive impact on the competitiveness and innovativeness of rural business entities. Additionally, the proposed theoretical model highlights the necessity of adopting a smart service platform, representing the IT artefact for smartness. We argue that the adoption of such a platform would have a significant moderating effect on the competitiveness and innovativeness of rural business entities. We also contribute a comprehensive set of candidate measures we extracted from the selected literature as operationalisation of the proposed model. In terms of contribution to practice, the proposed theoretical model can be used as the starting point to guide the diffusion of smartness in rural areas.

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