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The purpose of this paper is to examine the Records in Contexts proposal of a conceptual model (RiC-CM) from the International Council on Archives’ (ICA) archival description and to propose an OWL ontology for its implementation in the semantic web.

The various elements of the model are studied and are related to earlier norms in order to understand their structure and the modeling of the ontology.

The analysis reveals the integrating nature of RiC-CM and the possibilities it offers for greater interoperability of data from archival descriptions. Two versions of an OWL ontology were developed to represent the conceptual model. The first makes a direct transposition of the conceptual model; the second optimizes the properties and relations in order to simplify the use and maintenance of the ontology.

The proposed ontology will follow the considerations of the final version of the ICA’s RiC-CM.

The analysis affords an understanding of the role of RiC-CM in publishing online archival data sets, while the ontology is an initial approach to the semantic web technologies involved.

This paper offers an overview of Records in Contexts with respect to the advantages in the field of semantic interoperability, and supposes the first proposal of an ontology based on the conceptual model.

Identifies the significant role of conceptual research methods in theory building and contrasts it with the theory‐testing research currently prevalent in operations management. The research stages of description, explanation and testing are used to distinguish between theory building and theory testing. Short‐circuiting any one of these stages results in dysfunctional research activities which produce war stories, black boxes, or ivory‐tower prescriptions. Defines some terms relevant to conceptual research methods and describes different conceptual classification schemes. Finally, discusses the differences between conceptual models, frameworks, and theories and illustrates each method with examples from the literature.

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.

Gives an overview of quantitative model‐based research in operations management, focusing on research methodology. Distinguishes between empirical and axiomatic research, and furthermore between descriptive and normative research. Presents guidelines for doing quantitative model‐based research in operations management. In constructing arguments, builds on learnings from operations research and operations management research from the past decades and on research from a selected number of other academic disciplines. Concludes that the methodology of quantitative model‐driven empirical research offers a great opportunity for operations management researchers to further advance theory.

The purpose of this study is to systematically analyse and synthesise the existing research published on offsite manufacturing/construction. The study aims to highlight and associate the core elements for adopting the offsite concept in different construction contexts. This ultimately facilitates the enhancement of the offsite uptake.

The research study was carried out through a systematic literature review (SLR). The SLR was conducted to identify and understand the existing themes in the offsite research landscape, evaluate contributions and compile knowledge, thereby identifying potential directions of future research. The grand electronic databases were explored to gather literature on the offsite concept, lean and agile principles and simulation. A total of 62 related articles published between 1992 and 2015 have been included in this study. The relevant literature was systematically analysed and synthesised to present the emerging offsite themes.

The descriptive and thematic analyses presented in this paper have identified related offsite research studies that have contributed to setting a firm foundation of the offsite concept in different construction contexts. Each of the 62 articles was examined for achieving the aim and objectives of this study, the method of data collection and coverage of offsite themes. The results of the analyses revealed that the articles mostly provide information on the offsite concept and its definitions (53 per cent) and offsite barriers and/or drivers (27 per cent). However, limited attention has been paid to the integration of lean and agile principles (13 per cent) and simulation (7 per cent) within the offsite concept, which are therefore more open to research within the offsite concept.

The literature review highlights the main themes and components of the offsite construction concept. This forms a solid basis and motivation for researchers and practitioners to build on to enhance the uptake of the offsite concept in different contexts. This study also presents a research roadmap within the offsite concept, along with a recommendation for further research to be conducted using the research framework proposed in this study. The framework could lead to validation of using simulation to integrate lean and agile principles within the offsite concept.

This paper presents a systematic review of the literature related to offsite construction in different contexts. The emerging components, that is, offsite definitions, drivers and/or barriers, lean and agile principles and simulation have been highlighted and discussed thematically. A research framework that enables pursuit of the integration of lean and agile principles offsite through the lens of simulation has been proposed. The framework is expected to open up new opportunities on the effectiveness of offsite development in different contexts.

This paper aims to analyze a conceptual framework of supplier-manufacturer relationship in a lean supply chain environment, which considers two different configurations for the integration of information and material flows, aiming to better understand the applicability of such kind of approach to realistic cases.

Two different configurations for the integration of transport and material flows will be comparatively simulated and tested, aiming to better understand scientific implications and the applicability of such kind of approach to realistic cases in terms of performance of delivery service level and lead time.

The findings indicate that the conceptual model provides a framework to define threshold values of production variability to support the decision-making process regarding finished goods lean strategy. Furthermore, as the conceptual model considers as inputs the process variability of both supplier and customer’s production rates, it allows for the verification of the influence of supplier’s efficiency in the inventory sizing adopted in each case.

This study contributes to the body of literature on lean supply chain by proposing a simulation-based model that analyzes two different theoretical scenarios enabling the assessment of trade-offs among delivery service level, inventory strategy and production stability. This analysis provides theoretical arguments that may be extrapolated to real case situations, and considered other sources of instability that can impact the performance.

The scope for using dedicated facilities management information technology to stimulate advancements in facilities management (FM) is discussed. The concept is put forward that a synergistic interaction occurs between the process of FM and the specialist information technology (IT) used for FM. This co‐operation can produce co‐maturation or co‐stagnation of their capability. The mechanism of this interaction between specialist FM IT and the FM process appears to be dependent on the relative capabilities of the process and the IT. This paper presents a conceptual framework for describing the relationship between the FM process and FM IT, and a model for the dynamic mechanisms of their co‐operation. The paper commences by reviewing work done on modelling process capability for software procurement and the design and construction process, using the established capability maturity modelling (CMM) technique. The generalised principles of an existing model for the dynamic interaction between the design and construction process for buildings and specialist construction IT are discussed. The paper then considers their application and extension into the context of FM. The specific example of growth in specialist FM IT and FM process is examined for the case of space management. Finally, the implications of co‐maturation for FM IT and the FM process are explored.

The purpose of this paper is to provide further understanding of entrepreneurship education, seeking to comprehend the use of experience in this context. Based on the theory of experiential learning, the authors sought to develop and test a conceptual model for teaching entrepreneurship at the undergraduate degree level.

Due to the need to develop a model, the authors used design science research as a method to develop and test an artifact. First, bibliographic research was conducted to develop the model, which was then tested through empirical application. This empirical application was conducted at a Brazilian educational institution, with the participation of 110 students. A total of 440 activities were analyzed through content analysis.

The authors found advantages and disadvantages regarding the use of experience in entrepreneurship learning, such as greater student engagement, sense of empowerment and aspects related to the course and assessments.

In this paper, the authors offer suggestions for undergraduate teachers and to faculty members on how to teach entrepreneurship, with the student as the main actor in the learning process. Furthermore, the authors have access to a study addressing a contemporary theme that is emerging in Brazilian universities.

In this paper, the authors contribute with the debate on entrepreneurship education, realizing that the understanding of this issue continues to require closer study due to a lack of empirical consensus in previous works. Its originality lies in the development and testing of a model for undergraduates, drawn from a theory whose main use is in graduate school.

Automating the task of identifying process weaknesses using process models is promising, as many organizations have to manage a large amount of process models. The purpose of this paper is to introduce a pattern-based approach for automatically detecting potential process weaknesses in semantic process models, thus supporting the task of business process improvement.

Based on design research, combined with a case study, the authors explore the design, application and evaluation of a pattern-based process weakness detection approach within the setting of a real-life case study in a German bank.

Business process weakness detection can be automated to a remarkable extent using pattern matching and a semantic business process modeling language. A case study provided evidence that such an approach highly supports business process analysts.

The presented approach is limited by the fact that not every potential process weakness detected by pattern matching is really a weakness but just gives the impression to be one. Hence, after detecting a weakness, analysts still have to decide on its authenticity.

Applying weakness patterns to semantic process models via pattern matching allows organizations to automatically and efficiently identify process improvement potentials. Hence, this research helps to avoid time- and resource-consuming manual analysis of process model landscapes.

The approach is not restricted to a single modeling language. Furthermore, by applying the pattern matching approach to a semantic modeling language, the authors avoid ambiguous search results. A case study proves the usefulness of the approach.

The booming of the Internet of things (IoT) and artificial intelligence (AI) techniques contributes to knowledge adoption and management innovation for the healthcare industry. It is of great significance to transport the medical resources to required places in an efficient way. However, it is difficult to exactly discover matched transportation resources and deliver to its destination due to the heterogeneity. This paper studies the medical transportation resource discovery mechanism, leading to efficiency improvement and operational innovation.

To solve the transportation resource semantic discovery problem under the novel cloud environment, the ontology modelling approach is used for both transportation resources and tasks information modes. Besides, medical transportation resource discovery mechanism is proposed, and resource matching rules are designed including three stages: filtering reasoning, QoS-based matching and user preferences-based rank to satisfy personalized demands of users. Furthermore, description logic rules are built to express the developed matching rules.

An organizational transportation case is taken as an example to describe the medical transportation logistics resource semantic discovery process under cloud medical service scenario. Results derived from the proposed semantic discovery mechanism could assist operators to find the most suitable resources.

The case study validates the effectiveness of the developed transportation resource semantic discovery mechanism, contributing to knowledge management innovation for the medical logistics industry.

To improve task-resource matching accuracy under cloud scenario, this study develops a transportation resource semantic discovery procedure from the viewpoint of knowledge management. The novel knowledge management practice contributes to operational management of the cloud medical logistics service by introducing ontology modelling and creative management.