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This paper aims to present a new approach for developing a framework based on a model driven architecture (MDA) for the modelling of technology‐independent collaborative processes.

The paper suggests a new collaborative process modelling approach based on an MDA and a metamodelling technique. The research method, based on the design science approach, was started by identifying the characteristics of the collaborative processes, which distinguish them from the classical intraorganizational ones. Then, the generic collaborative business process (CBP) modelling framework is developed based on MDA approach and definition of a set of transformation rules through three layers: business, process, and technical. After that, the core component of the framework was the proposition of a generic CBP metamodel at PIM/MDA level. The specific collaboration participant's business processes (expressed as BPMN model) are generated from the generic CBP model represented as an UML2 Profile activity diagram, which is compliant to CBP metamodel. Finally, as proof‐of‐concept, the architecture of an Eclipse‐based open development platform is developed implementing an e‐Procurement collaborative process.

The proposed framework for CBP modelling and the generic CBP metamodel contribute towards a more efficient methodology and have consequences for BPM‐related collaboration, facilitating the B2B processes modelling and implementation. In order to demonstrate and evaluate the practical applicability of the framework, the architecture of an Eclipse‐based open development platform is developed implementing a collaborative business application on the basis of an e‐Procurement use case.

There is a need to focus future research efforts on the improvement of the semi‐automatic transformation phase from public to private processes which needs human intervention by adding a suitable interfaces at both sides of the B2B interaction. In addition, the problem of semantic heterogeneities regarding the partner's business process elements (business documents, activity/task names) should be tackled by developing an approach that uses ontology.

Business processes developers find a B2B technology‐independent solution for implementing and using interorganizational information systems.

The paper provides a framework that enables the CBP modelling and integrates a generic CBP metamodel. Currently, to the best of the authors' knowledge, such a generic metamodel and his instantiation have not so far been developed.

In the last two decades, a proliferation of business process management (BPM) modeling languages, standards and software systems has given rise to much confusion and obstacles to adoption. Since new BPM languages and notation terminologies were not well defined, duplicate features are common. This paper seeks to make sense of the myriad BPM standards, organising them in a classification framework, and to identify key industry trends.

An extensive literature review is conducted and relevant BPM notations, languages and standards are referenced against the proposed BPM Standards Classification Framework, which lists each standard's distinct features, strengths and weaknesses.

The paper is unaware of any classification of BPM languages. An attempt is made to classify BPM languages, standards and notations into four main groups: execution, interchange, graphical, and diagnosis standards. At the present time, there is a lack of established diagnosis standards. It is hoped that such a classification facilitates the meaningful adoption of BPM languages, standards and notations.

The paper differentiates BPM standards, thereby resolving common misconceptions; establishes the need for diagnosis standards; identifies the strengths and limitations of current standards; and highlights current knowledge gaps and future trends. Researchers and practitioners may wish to position their work around this review.

Currently, to the best of one's knowledge, such an overview and such an analysis of BPM standards have not so far been undertaken.

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.

In collaborative settings, such as research and development projects, obtaining the maximum benefit from knowledge management systems depends on the ability of the different partners to understand the conceptualisation underlying the system’s knowledge organisation. This paper aims to show how information/knowledge organisation in a multi-organisation project can be made more effective if the domain experts are involved in the specification of the systems semantic structure. A particular aspect is further studied: the role of conceptual relations in the process of collaborative development of such structures.

An action-research approach was adopted, framed by a socio-semantic stance. A collaborative conceptual modelling platform was used to support the members of a research and development project in the process of developing a lightweight ontology aiming at reorganising all the project information in a wiki system. Data collection was carried out by means of participant observation, interviews and a questionnaire.

The approach to solve the content organisation problem revealed to be effective both in the result and the process. It resulted in a better-organised system, enabling more efficient project information retrieval. The collaborative development of the lightweight ontology embodied, in fact, a learning process, leading to a shared conceptualisation. The research results point to the importance of the elicitation of conceptual relations for structuring the project’s knowledge. These results are important for the design of methods and tools to support the collaborative development of conceptual models.

This paper studies the social process leading to a shared conceptualisation, a subject that has not been sufficiently researched. This case study provides evidence about the importance of the early phases of the construction of ontologies, mainly if domain experts are deeply involved, supported by appropriated tools and guided by well-structured processes.

This article proposes an architecture of an intelligent and autonomous recommendation system to be applied to any virtual learning environment, with the objective of efficiently recommending digital resources. The paper presents the architectural details of the intelligent and autonomous dimensions of the recommendation system. The paper describes a hybrid recommendation model that orchestrates and manages the available information and the specific recommendation needs, in order to determine the recommendation algorithms to be used. The hybrid model allows the integration of the approaches based on collaborative filter, content or knowledge. In the architecture, information is extracted from four sources: the context, the students, the course and the digital resources, identifying variables, such as individual learning styles, socioeconomic information, connection characteristics, location, etc. Tests were carried out for the creation of an academic course, in order to analyse the intelligent and autonomous capabilities of the architecture.

This paper aims to propose a service-oriented framework for performing content annotation and search, adapted to the task context. Media production workflows are becoming increasingly distributed and heterogeneous.The tasks of professionals in media production can be supported by automatic content analysis and search and retrieval services.

The processes of the framework are derived top-down, starting from business goals and scenarios in audiovisual media production. Formal models of tasks in the production workflow are defined, and business processes are derived from the task models. A software framework enabling the orchestrated execution of these models is developed.

This paper presents a framework that implements the proposed approach called Metadata Production Management Framework (MPMF). The authors show how a media production workflow for a real-world scenario is implemented using the MPMF.

The authors have demonstrated the feasibility of a model-based approach for media processing. In the reification step, there is still information that needs to be provided in addition to the task models to obtain executable processes. Future research should target the further automation of this process.

By means of this approach, the implementation of the business process defines the workflow, whereas the services that are actually used are defined by the configuration. Thus, the processes are stable and, at the same time, the services can be managed very flexibly. If necessary, service implementations can also be completely replaced by others without changing the business process implementation.

The authors introduce a model-based approach to media processing and define a reification process from business-driven task models to executable workflows. This enables a more task-oriented design of media processing workflows and adaptive use of automatic information extraction tools.

The purpose of this paper is to propose a method for identifying business process-relevant contextual information that is likely to impact on the process goal. The ORGANON method describes a semi-structured procedural guide alongside with a set of criteria and a matrix for analyzing ontological transactions, which can be used to identify which context information can be considered relevant to a business process.

The authors report on an evaluation of the ORGANON method through a case study conducted in an organization that works in the social security domain.

The results provide evidences of the feasibility of the method application in this scenario.

Our research contributes to the literature on business processes flexibility, specifically through a proposal for context identification that can be extended to current techniques for business process modeling and in turn forms the basis for existing approaches for making business processes more flexible. The work has implications for the strategic management of organizations, by suggesting a method that provides informational support to decision makers about when, where and why business processes need to be adapted.

Development and operations (DevOps) is complex in nature. Organizations are unsure how to effectively establish a DevOps capability for the continuous delivery of information management systems. This paper aims to compile and analyze DevOps by applying the well-known systematic literature review (SLR) approach. This review is intended to provide a knowledge base to support the informed, effective and less risky adoption of DevOps for information management systems.

In this qualitative research study, the SLR method was applied to identify 3,790 papers, of which, 32 relevant papers were selected and reviewed.

The results are organized using the well-known ISO/IEC 24744 metamodel elements: people (roles), process, technology and artifacts. In total 11 major roles, 6 processes, 23 technologies, 5 artifacts and 7 challenges (including 6 corresponding solutions) were found. DevOps engineer is becoming a newly identified role. Continuous delivery pipeline and continuous improvement are the most highlighted major DevOps processes. Build system technology is becoming the key focus of DevOps. Finally, major challenges are around people and culture and the misunderstanding of DevOps. Potential research areas are: DevOps analytics, artifacts and tool–chain integration.

The research findings will serve as a resource for both practitioners and researchers who have interest in the research and adoption of DevOps for information management systems.

This paper provides a comprehensive systematic review of the body of knowledge to support the ongoing research and adoption of emerging trends of DevOps for information management systems.

In the last decade, bureaucratic organizational hierarchies have been increasingly replaced with flatter organizational forms, bringing together people from different disciplines to form project teams within and between organizations. Distributed project teams often are self‐configuring networks of mobile and “fixed” people, devices, and applications. They are the natural next step in the evolution of distributed computing, after client‐server, web‐based, and peer‐to‐peer computing. Seeks to show that a newly emerging requirement is to facilitate not just mobility of content (i.e. to support a multitude of devices and connectivity modes) to project members, but also mobility of context (i.e. to provide traceable and continuous support of dynamic relationships between people, artifacts, and business processes).

The contribution of this paper is to present the design goals, the architecture, and implementation of a system aiming at supporting internet‐enabled workflow and groupware for project teams, enabling traceable and continuous support of associations (relationships) between people, artifacts, and business processes.

The findings indicate that building internet‐enabled workflow and groupware systems is valuable for virtual teamwork, since they provide a foundation for context‐aware and process‐aware information systems.

This article outlines some foundations of process‐aware collaborative work. Provides an analysis of current workflow and groupware shortcomings in respect of virtual teamwork, outlines the design goals, architecture and an implementation of a system aiming at supporting virtual teams on the internet.

In July 1999 the Australian Recordkeeping Metadata Schema (RKMS) was approved by its academic and industry steering group. The RKMS has inherited elements from and built on many other metadata standards associated with information management. It has also contributed to the development of subsequent sector specific recordkeeping metadata sets. The importance of the RKMS as a framework for mapping or reading other sets, and also as a standardised set of metadata available for adoption in diverse implementation environments, is now emerging. This paper explores the context of the Australian SPIRT1 Recordkeeping Metadata Project, and the conceptual models developed by the SPIRT Research Team as a framework for standardising and defining recordkeeping metadata. It then introduces the elements of the SPIRT Recordkeeping Metadata Schema and explores its functionality, before discussing implementation issues and future directions