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The purpose of this paper is to demonstrate that process mining techniques can help to discover process models from event logs, using conventional high-level process modeling languages, such as Business Process Model and Notation (BPMN), leveraging their representational bias.

The integrated discovery approach presented in this work is aimed to mine: control, data and resource perspectives within one process diagram, and, if possible, construct a hierarchy of subprocesses improving the model readability. The proposed approach is defined as a sequence of steps, performed to discover a model, containing various perspectives and presenting a holistic view of a process. This approach was implemented within an open-source process mining framework called ProM and proved its applicability for the analysis of real-life event logs.

This paper shows that the proposed integrated approach can be applied to real-life event logs of information systems from different domains. The multi-perspective process diagrams obtained within the approach are of good quality and better than models discovered using a technique that does not consider hierarchy. Moreover, due to the decomposition methods applied, the proposed approach can deal with large event logs, which cannot be handled by methods that do not use decomposition.

The paper consolidates various process mining techniques, which were never integrated before and presents a novel approach for the discovery of multi-perspective hierarchical BPMN models. This approach bridges the gap between well-known process mining techniques and a wide range of BPMN-complaint tools.

This paper aims to present how iterative round‐trip modelling between two different business process modelling tools can be enabled on a conceptual level. Iterative round‐trip modelling addresses model transformations between high‐level business and executable process models, and how to maintain these transformations in change time. Currently, the development of these process models is supported by different tools. To the authors' best knowledge, no coherent collaborative tool environment exists that supports iterative round‐trip modelling.

This paper is primarily based on a literature review of state‐of‐the‐art business to IT transformations regarding business process modelling. The architecture of integrated information systems (ARIS) and Cordys tools are used as an example case in this research. ARIS is a business process analysis (BPA) tool suited for analyzing and designing business processes, while the execution and monitoring of these processes is allowed by Cordys, a business process management suite (BPMS). The theory is used for transforming between ARIS event‐driven process chains from the business perspective and business process modelling notation in Cordys from the IT perspective.

A conceptual framework is proposed to couple a BPA and BPMS tool for round‐trip business process modelling. The framework utilizes concepts from the model‐driven architecture for structurally addressing interoperability and model transformations. Ensuring iterative development with two tools requires traceability of model transformations.

In many organizations, BPA and BPMS tools are used for business process modelling. These are in practice often two different worlds, while they concern around the same business processes. Maintaining multiple versions of the same process models across two tools is a considerable task, as they often are subject to design changes. Interoperability between a BPA and BPMS tool will minimize redundant activities, and reduce business to IT deployment time.

This research provides a theoretical base for coupling a BPA and BPMS tool regarding iterative round‐trip modelling. It provides an overview of the current state‐of‐the‐art literature of business process modelling transformations, and what is necessary for maintaining interoperability between tools. The findings indicate what is expected in tool support for iterative development in business process modelling from analysis and design to execution.

The purpose of this research is to explore the mechanisms of knowledge management (KM) for innovation and provide an approach for enterprises to leverage KM activities into continuous innovation.

By reviewing the literature from multidisciplinary fields, the concepts of knowledge, KM and innovation are investigated. The physical, human and technological perspectives of KM are distinguished with the identification of two core activities for innovation: knowledge creation and knowledge usage. Then an essential requirement for continuous innovation – an internalization phase – is defined. The systems thinking and human‐centered perspectives are adopted for providing a comprehensive understanding about the mechanisms of KM for innovation.

A networking process of continuous innovation based on KM is proposed by incorporating the phase of internalization. Three sources of organizational knowledge assets in innovation are identified. Then, based on the two core activities of innovation, a meta‐model and a macro process of KM are proposed to model the mechanisms of KM for continuous innovation. Then, in order to operationalize the KM mechanisms, a hierarchical model with four layers is constructed by integrating three sources of knowledge assets, the meta‐model and the macro process into the process of continuous innovation.

According to the lessons learned about KM practices in previous research, the three perspectives of KM should collaborate with one another for successful implementation of KM projects for innovation; the networking process of innovation provides a new way to integrate KM process in innovation; the hierarchical model provides a suitable architecture to implement systems of KM for innovation.

The meta‐model and macro process of KM explain how the next generation of KM can help the value creation and support the continuous innovation from the systems thinking perspective. The hierarchical model illustrates the complicated knowledge dynamics in the process of continuous innovation.

In this paper we present a new approach for integrating knowledge management and business process management. We focus on the modelling of weakly‐structured knowledge‐intensive business processes. We develop a framework for modelling this type of processes that explicitly considers knowledge‐related tasks and knowledge objects and present a workflow tool that is an implementation of our theoretical meta‐model. As an example, we sketch one case study, the process for granting full old age pension as it is performed in the Greek Social Security Institution. Finally we briefly describe some related approaches and compare them to our work and draw the main conclusions and further research directions.

In the existing BPR methodologies there exists a big division in business analysis techniques due to the black and white approach used in most cases. In some of them, cost is the central issue, in others generic management or the successful use of IT. As a result business analysis techniques are directed towards this central issue ignoring any other means of analysis. Agent relationship morphism analysis (ARMA) is a BRP methodology that applies different analysis techniques from various disciplines in different perspectives. These techniques are influenced from organizational theories, IS development and existing work in BPR giving business analysis a more holistic approach. The main focus of business analysis in ARMA is the analysis of the business models with a view of developing solutions for the subsequent stage of redesign. The emphasis is on why the operations and processes of the organization are performed the way they are performed. The aim is to develop solutions that enhance the levels of efficiency and effectiveness in these operations and processes. The dimensions of improvement include service, quality, timeliness or cost.

The paper has the purpose of demonstrating that (business) process modelling can be used to portray facilities management as a hierarchical set of activities which combine to satisfy the business needs of the client organisation. The paper aims to show, through a top‐down approach, how service provision must be set in a wide context if its role in fulfilling those needs is to be successful. The question of whether or not to outsource services is given particular prominence. A secondary purpose is to show how best practice and attempts to improve current practice can benefit from the modelling approach.

Business process (IDEF0) modelling is used to portray the facilities management process from the perspective of the client organisation.

Service provision must be set in a wide context if decisions and their outcomes are to be consistent with the delivery of best value and customer satisfaction. The model of the facilities management process presented in the paper shows, for instance, where and how the decision to outsource or retain services in‐house fits into the total picture. The transparency afforded by the model and the procedures that can be derived from it will enable clients to reach a competent decision and not one based on incomplete consideration. Furthermore, clients are able pursue a policy of continual improvement and with that practices that can be regarded as “best” in their context. As a template of current best practice, the model is also the context for evaluating the worth of new insights and novel practices.

The model is limited to a top‐down approach to the facilities management process; as such, it does not consider very detailed issues.

There exists no authoritative model of the facilities management process from the client's perspective. The issue of context has not received adequate treatment in the literature.

The purpose of this paper is to describe and analyse the change trajectory in a large, global, project‐oriented company, with focus on standardization of project work, and on how the company's structure, processes and employment‐base changed in line with the company's increasing volume of projects.

The stance taken is to define firm‐based projects as temporary organisations embedded in, and coupled to their parent company. Narratives of employees' working history were combined with historical company data. The outcome is a trajectory of the company's history from four different perspectives, shown in parallel with the development of the company's project operations.

The projectification history was found to be connected with two parallel movements: a push towards project decoupling countered by a pull towards standardization of project management practices to tighten the coupling. The direction of the movements was influenced from current project management trends.

The model of a projectified company as a loosely‐coupled system provides a novel way of analysing an organisation and its interfaces to its projects. Even though the work focuses on a unique company's projectification history, the intention is to provide a means to better understand the forces impacting the transformation of organisations increasingly using projects as a work‐form.

Adding the notion of coupling gives a new dimension to the transformation of project‐oriented companies. The model for analysing projects by means of their patterns of loose and tight coupling provides arguments for the shift in focus from the individual project to the interplay between structure, people and processes in the project‐oriented company.

Collaborative processes are relatively complex and are therefore difficult to handle. Representing the joint processes and capturing the interactions among stakeholders in a structured way are critical to improve the collaboration productivity. This paper aims to present a generic collaborative process model that improves on current approaches by explicitly representing the perspectives of stakeholders and their evolution traversing a work process.

This approach provides a mechanism to identify the interdependencies among tasks and stakeholders, and realizes collaboration through process management. A web‐based information system using the model to support collaborative process management is also described.

The research work provides collaboration management systems with the ability to analyze and control the processes through sharing perspectives.

The models and methods described in this paper are an important part of a pervasive, resilient and predictable means for business process management over the internet.

This study aims to construct mechanisms of big data-driven business model innovation from the market, strategic and economic perspectives and core logic of business model innovation.

The authors applied deductive reasoning and case analysis method on manufacturing firms in China to validate the mechanisms.

The authors have developed an integrated framework to deduce the elements of big data-driven business model innovation. The framework comprises three elements: perspectives, business model processes and big data-driven business model innovations. As we apply the framework on to three Chinese companies, it is evident that the mechanisms of business model innovation based on big data is a progressive and dynamic process.

The case sample is relatively small, which is a typical trade-off in qualitative research.

A robust infrastructure that seamlessly integrates internet of things, front-end customer systems and back-end production systems is pivotal for companies. The management has to ensure its organization structure, climate and human resources are well prepared for the transformation.

When provided with a convenient crowdsourcing platform to provide feedback and witness their suggestions being implemented, users are more likely to share insights about their use experience.

Extant studies of big data and business model innovation remain disparate. By adding a new dimension of intellectual and economic resource to the resource-based view, this paper posits an important link between big data and business model innovation. In addition, this study has contributed to the theoretical lens of value by contextualizing the value components of a business model and providing an integrated framework.

The purpose of this paper is to propose a representation scheme based on the i* strategic actor model to represent the process owner information and show how to incorporate this approach into the event driven process chain and Business Process Modeling Notation-BPMN meta-models and also into the aspect-oriented business process modeling (BPM) context.

The authors use a case study in a real setting to evaluate the proposal and a controlled experiment to get more evidence about its relevance.

The authors presented evidence both from a case study in a real-world library showing the importance of representing – previously unavailable – process owner information, and from an experiment which involved participants analyzing the same models of the case study, confirming the preliminary evidences. It is important to stress the recognition that the proposed representation provided more transparency, in terms of ownership, than the usual BPM models. These benefits are due to the combination of the aspect-oriented approach and the strategic actor model, providing ownership information in a more transparent way.

The authors not only argue the importance of clearly established process ownership, both of the core process and the aspectual process, but also the authors presented an approach to represent the actor involved in process and aspect ownership as an instantiation of the i* strategic actor. Using this approach, the process owner can be defined in terms of actors instead of the activities performed. It is also possible to define the aspect owner and to include the aspectual process concept in the business process model.