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Security requirements play an important role in software development. These can be specified both in enterprise architecture models and in business processes. Enterprises increasingly carry out larger amounts of business processes where security plays a major role. Business processes including security can be automatically obtained from enterprise architecture models by applying a model-driven architecture approach, through a CIM to CIM transformation. The aim of this article is to present the specification of transformation rules for the correspondence between enterprise architecture and business process model elements focusing on security.

This work utilizes motivational aspects of the ArchiMate language to model security in the business layer of enterprise architectures. Next, a set of transformation rules defined with the Atlas Transformation Language are utilized to obtain the correspondence of the enterprise architecture elements in a business process, modelled with a security extension of BPMN.

A total of 19 transformation rules have been defined. These rules are more complex than element to element relations, as they take into consideration the context of the elements for establishing the correspondence. Additionally, the prototype of a tool that allows the automatic transformation between both models has been developed.

The results of this work demonstrate the possibility to tackle complex transformations between both models, as previous literature focuses on semantic correspondences. Moreover, the obtained models can be of use for software developers applying the model-driven approach.

The purpose of this paper is to ease the ISO 31000 standard understanding and provide mechanisms that allow organizations to adopt and adapt this standard to their reality.

The research methodology adopted in this research was the design science research methodology.

Key finding is that enterprise architecture (EA) models and EA tools can help reduce the complexity of the ISO 31000 standard and improve the communication between stakeholders.

The research proposal serves the purpose of supporting the evidence collection for an enterprise risk management (ERM) initiative in an as-was, as-is, or to-be perspective.

Traditional ERM efforts operate on silos, limiting the sharing of risk information and the achievement of an organization-wide view of risks. EA can provide a common way to model complex business systems, from the strategic level to implementation details. This paper proposes the use of an EA model and an EA tool (Atlas) to represent ISO 31000, allowing a better understanding on the value of assets that can be affected from the manifestation of some risks over time.

In smart cities pervasive systems are deployed by enterprises and stakeholders in municipalities to provide digital services to citizens. But cities are faced with the challenge of achieving system pluggability, mainly service integration due to numerous actors and systems needed for smart urban transformation. Hence, there is need to employ a comprehensive and holistic approach to help achieve service integration of pervasive platforms. Therefore, this study presents an Enterprise Architecture Framework (EAF) to support smart urban transformation.

In this study the design science research methodology is adopted based on a multi-case studies of two organizations and data is collected using semi-structured interview from an organizations and municipality in Norway to validate how service integration can be achieved by the developed EAF to address pluggability challenges faced in urban environment.

Findings suggest that the presented EAF provides the structure to manage changes and maintain urban transformation and aims to align the business with the underlying information systems from the perspective of the stakeholders. Additionally, findings from the case studies modelled in ArchiMate language depict how service integration of different pervasive platforms provide digital services for smart urban transformation.

This research only employed semi-structured interviews to validate service integration of digital platforms, other identified dimensions of pluggability were not fully addressed in this study.

Findings from the case studies provides insights on how pervasive platforms can be integrated to achieve a pluggable digital service from different stakeholders and data sources in practice. The developed EAF presented in this study provide a model that supports collection and exchange of data from different data sources in smart urban environment to enable the provision and consumption of digital services.

The developed EAF aids system pluggability of actors and systems in providing digital service such as smart urban transformation that contributes to sustainable use of electric mobility in cities.

As cities increasingly deploy pervasive platforms to support urban innovation, researchers are seeking to explore how these platforms shape urban transformation. Presently, prior studies do not offer important insights into pervasive platform management from urban perspective. Against this backdrop, this study employs the information systems perspective of digital platforms literature roots in software development and physical product development to depict how the EAF can be employed to describe specific cases that integrate different pervasive platforms deployed by different stakeholders communicating to co-create collective digital services to citizens.

Enterprise architecture (EA) is a means of a high level of abstraction of a business’ levels which helps organise planning and taking better decisions. Evidence has shown that the scope of EA is not restricted to technology planning, but the lack of business strategy and processes is the most common problem of EA frameworks. Consequently, a challenge stems from the fact that the formulation of strategy should not be modelled separately but as a holistic approach. The purpose of this paper is to evaluate the contemporary problems in existing EA modelling frameworks concerning the optimisation of business strategy concepts and to identify areas for improvement.

Studies were spotted using a three phased literature review methodology which was suggested by Webster and Watson (2002).

Although, previous studies have attempted to use tools and models to visualise the technological business planning, limited previous study has focussed on modelling strategic planning. Due to issues concerning the lack of guidelines for modelling business strategy, a holistic approach is needed to be made.

The paper contributes to the existing literature by assessing the current EA modelling languages and their skilfulness to modelling strategy. Moreover, it contributes to the determination of difficulties in modelling, as well as to the examination of ease of use of language in the context of strategy. Second, this paper provides an overview to practitioners who would like to develop effective EA modelling projects, as well as to architects who try to solve the problems of business complexity.

Smart city services are supported by information and communication technologies (ICT) referred to as digital technologies which increasingly promise huge opportunities for growth but are faced with system alignment and data integration issues when providing digital services. Therefore, this study aims to use enterprise architecture (EA) in digital transformation of cities by developing an architecture to address system alignment and data integration in digital transformation of cities.

Qualitative method is applied to evaluate the presented architecture based on electric-mobility (e-mobility) scenario, and data was collected using case study via interviews from a municipality in Norway to validate the applicability of EA for digital transformation of city services.

Findings from the interviews were represented in ArchiMate language to model the digital transformation of e-mobility in smart cities. Findings suggest that the architecture serves as a guide to recommend urban administrators of the potential of EA and digital transformation in addressing system alignment and data integration issues in smart cities.

Data used in this study is from a single case, hence there is a need to evaluate the application of EA for digital transformation of city services with data collected from multi-cases.

This study adopts enterprise architecture approach to support city transformation as it has been widely applied by institutions to align business and ICT components.

This study provides implication on how municipalities can use EA and digital transformations towards a sustainable smart city.

An architecture is presented that can be used as a guide to help urban developers and designers in deploying sustainable transport policies for smart cities. Additionally, EA is used to foster digitalization towards achieving system alignment and data integration in cities to support urban environment as they digitally transform services provided to citizens.

This paper aims to propose a conceptualization of the supply chain resilience domain using conceptual modelling techniques formalized through a metamodel and illustrated through an example.

This research uses conceptual modelling techniques to build and modularize the metamodel, the latter to manage complexity. The metamodel was built iteratively and subsequently instantiated with an example of a yogurt factory to analyse its usefulness and theoretical relevance, and thus its contributions to the domain.

Conceptual modelling techniques can represent a complex domain such as supply chain resilience simply, and the proposed metamodel makes it possible to create models that become valuable decision support tools.

Consolidation and structuring of concepts in the supply chain resilience domain through conceptual modelling techniques.

The creation of a service is enabled by a “strategic‐level” business model (BM), while the implementation or execution of the service is described by “operational‐level” business processes (BPs). In many innovation projects, especially trans‐sector projects, a lack of alignment between the strategic “what to do” and the operational “how to do it” is often a severe obstacle undermining BM viability and feasibility. The purpose of this paper is to propose a framework that identifies the generic horizontal and vertical inter‐organizational and intra‐organizational interaction components to bridge BM with underlying BPs, with the aim of improving the alignment between the two levels.

This conceptual paper identifies a theoretical gap between strategic BM and operational BPs. Building on existing literature the authors synthesize various theoretical concepts to create a generic framework to analyze the theoretical gap.

The proposed conceptual framework is useful in innovation projects, especially in complex scaled‐up trans‐sector innovation projects, where numerous BPs stemming from multiple actors from diverse industries should support a collective BM. This framework can be used as an analytical basis for further research into BM/BP alignment.

There are many BM theories and concepts, and BP ontologies available. The proposed alignment framework can be used to bridge the gap between the BM theories and concepts such as BMO Canvas and BP tools and ontology's (e.g. ARIS, ArchiMate or BPMN).

Through a novel integration of a number of relevant theoretical concepts, a generic conceptual BM/BPs alignment framework is proposed and the practical implications and applications of the proposed framework are presented.

The purpose of this paper is to address the role of intermediaries in open innovation networks in achieving ICT-enabled innovations. The ultimate goal of open innovation networks is to create value for endusers and providers, and to share the risks and rewards. The aim of this paper is to analyse the competences that intermediaries in open innovation networks need to master and exploit during the exploration and exploitation phases of an innovation process.

Based on 14 cases, all of which are examples of collaborative multi-party projects with a focus on ICT-enabled innovations, the paper inductively develops a competence model for intermediaries that can be applied at different stages in the innovation.

The research shows that intermediaries can play an effective role in open innovation, provided they have the right set of competences. It can be concluded that the role of innovation intermediary is most relevant in the creation and development phases.

This study certainly has its limitations. The researchers were involved in several cases, which may have biased their views, even though an external expert who was familiar with the case and the work of the intermediary was involved to minimize the risk. Most importantly, the cases all involved of a single intermediary, albeit with many different private and public partners. The cases were primarily located in the Netherlands. It would be interesting to complement this study with results from other innovation intermediaries.

The paper identified which competences of organizations in innovation are required, and how to balance the competences between the different partners, including the innovation intermediary. The study allows to link the type of goal of the collaboration to a number of best practices, including the competences and roles that are required at different stages.

The paper combines the core innovation competences with the innovation value chain concept developed, and evaluate the resulting model in 14 different cases. The model is new and relevant in practice.

The modelling landscape experiences a rich proliferation of modelling language, or metamodel. The emergence of cross-disciplinary disciplines, such as enterprise engineering and service engineering, necessitates a multi-perspective approach to traverse the component from strategic level to technological aspect. This paper aims to find a unifying structure of metamodels introduced by academics and industries.

A grounded approach is taken to define the structure by collating the metamodels to form an emerging structure. Metamodels were collected from a literature survey from several interrelated disciplines: software engineering, system engineering, enterprise architecture, service engineering, business process management and financial accounting.

The result suggests seven stereotypes of metamodel, characterized by its label: goal, enterprise, business model, service, process, software and system. The aspect of “process” holds a central role in connecting all other aspect in the modelling continuum. Service engineering can be viewed as an alternative abstraction of enterprise engineering in containing the concepts of “business model”, “capability”, “value”, “interaction”, “process” and “software”.

Metamodel collection was performed to emphasize on representativeness rather than comprehensiveness, in which old and unpopular metamodel were disregarded unless it offer unique characteristic not yet represented in the collection. Owing to its bottom-up approach, the paper is not intended to identify a gap in metamodel offering.

This paper produces a structure of metamodel landscape in a graphical format to illustrate correlation between metamodels in which evolutive patterns of metamodel proliferation can be observed. The produced structure can serve as map in metamodel continuum.

Because of the use of digital technologies in smart cities, municipalities are increasingly facing issues related to urban data management and are seeking ways to exploit these huge amounts of data for the actualization of data driven services. However, only few studies discuss challenges related to data driven strategies in smart cities. Accordingly, the purpose of this study is to present data driven approaches (architecture and model), for urban data management needed to improve smart city planning and design. The developed approaches depict how data can underpin sustainable urban development.

Design science research is adopted following a qualitative method to evaluate the architecture developed based on top-level design using a case data from workshops and interviews with experts involved in a smart city project.

The findings of this study from the evaluations indicate that the identified enablers are useful to support data driven services in smart cities and the developed architecture can be used to promote urban data management. More importantly, findings from this study provide guidelines to municipalities to improve data driven services for smart city planning and design.

Feedback as qualitative data from practitioners provided evidence on how data driven strategies can be achieved in smart cities. However, the model is not validated. Hence, quantitative data is needed to further validate the enablers that influence data driven services in smart city planning and design.

Findings from this study offer practical insights and real-life evidence to define data driven enablers in smart cities and suggest research propositions for future studies. Additionally, this study develops a real conceptualization of data driven method for municipalities to foster open data and digital service innovation for smart city development.

The main findings of this study suggest that data governance, interoperability, data security and risk assessment influence data driven services in smart cities. This study derives propositions based on the developed model that identifies enablers for actualization of data driven services for smart cities planning and design.

This study explores the enablers of data driven strategies in smart city and further developed an architecture and model that can be adopted by municipalities to structure their urban data initiatives for improving data driven services to make cities smarter. The developed model supports municipalities to manage data used from different sources to support the design of data driven services provided by different enterprises that collaborate in urban environment.