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The purpose of this study is to characterize construction management research at the interface of explanatory science and design science.

The dual nature of construction management research is analyzed by relating this field of research to natural science, design science and its interface. Research at the interface of explanatory science and design science is characterized by identifying studies published on this interface in high quality construction management journals.

Research at this interface should focus on technological rules developed through testing in practical contexts as in design science as well as grounding in the explanatory sciences. The nature of testing technological rules is highly similar to the replication logic recommended for comparative case studies.

Developing and testing technological rules combines the design science and the explanatory science mode of knowledge production in construction management research, while it also respects some of the methodological differences between the two modes.

Developing and testing technological rules is the common ground on which research in construction management practice and research can meet and reduce the relevance gap between science and the world of practice.

This chapter outlines a design-science perspective of entrepreneurship. It zooms in on the junction between present and future to distinguish entrepreneurship as a natural and as an artificial phenomenon. While the current study of entrepreneurship speaks to the former, it has been silent on the latter. The chapter discusses design as a distinct mode of research, opportunity as a design artifact, and the generative power of recursive action to make the case for problematizing entrepreneurial action as a focus of research. It then defines its research questions, discusses the logic and process for addressing them, and outlines the nature of research outputs.

This study aims to analyze and synthesize the design features of existing digital transformation maturity models with a developed classification scheme and propose a generic maturity model development wireframe based on design science research.

A systematic literature review is conducted on digital transformation maturity models in peer-reviewed journals, including the Emerald Insight, Science Direct, Scopus, Taylor & Francis and Web of Science databases, which resulted in 21 studies. A concept-centric tabular approach is used to analyze the studies, and intersectional demonstrations are used to synthesize the findings regarding the design features.

The classification scheme derived from the tabular concept-centric approach and iteratively evolved results in three main and 25 subcategories related to the design features. Analysis and synthesis of the studies reveal the granularity of the existing digital transformation maturity models concerning the design features. Furthermore, considering the design features in the classification scheme, a generic maturity model development wireframe is proposed to guide the researchers.

The generic maturity model development wireframe and the classification scheme that represents the design features of existing maturity models guide the researchers for the maturity model development roadmap.

The existing literature review studies do not focus on the design feature of digital transformation maturity models within a systematic literature review perspective. A unique classification scheme derived from the tabular concept-centric approach aims to analyze the granularity level of the existing models. Furthermore, the generic maturity model development wireframe includes the guidelines and recommendations of design science studies and presents a roadmap for maturity model researchers.

The systems approach is an exemplar of design science research (DSR), whereby specific designs yield generic knowledge. DSR is increasingly being adopted in logistics and operations management research, but many point to neglect of the human aspects of solutions developed. The authors argue that it is possible to look back at the history of the systems movement to seek precedent for ‘dealing’ with the social components, providing a methodologically pluralistic ‘research design’ framework. Thereby, systems approaches are foundational to providing a design-based ‘science’ to progressing the logistics and supply chain management field, dealing with contemporary topics such as resilience.

The authors undertake a discursive assessment of relevant streams of engineering, social science and systems research, with a conceptual development of how the latter influences supply chain design approaches.

Building on a phenomenological framework, the authors create a generic design science research design (DSRD) that enables researchers to choose and integrate the right tools and methods to address simple, complicated and complex problems, dealing with technological, process and social problems.

The DSRD provides a framework by which to exploit a range of methodological stances to problem solving, including quantitative modelling perspectives and ‘soft’ systems social science approaches. Four substantive gaps are identified for future research – establishing the root cause domain of the problem, how to deal with the hierarchy of systems within systems, establishing appropriate criteria for the solution design and how best to deal with chaotic and disordered systems.

The authors argue that the systems approaches offer methodological pluralism by which a generic DSRD may be applied to enhance supply chain design. The authors show the relevance of the DSRD to supply chain design problems including in reducing supply chain dynamics and enhance resilience. In doing so, the study points towards an integrated perspective and future research agenda for designing resilient supply chains.

This paper aims to propose a framework for the evaluation of artefacts in Design Science and test it using an exemplar case of a knowledge management system (KMS) developed for an Australian refrigeration manufacturing company.

The research uses Design Science research methodology in a specific case study context. The artefact studied was developed using an ontology based on an engineering design conceptualisation and created using an ontology generator, Protégé. Research data for the evaluation of the framework were collected using a combination of document analysis, interviews, shadowing and observations.

The evaluation framework developed for the research and applied to the KMS specifically built for the company was shown to be useful in determining the efficacy and effectiveness of the research outcomes in terms of usefulness to the company engineers in the technical analysis of their work, and for the CEO and COO as part of their strategic planning for the company. The evaluation framework helped the researcher and the engineers as collaborators to demonstrate the extent of improvement in the design and build processes in the company.

Prior research in both Information System and Design Science has not provided a specific, generalizable, evaluation framework for system developers to use as a guide during the systems development process. This research proposes an evaluation framework which covers all broad aspects of evaluation and efficacy, accepting that evaluation frameworks must be flexible in enabling changes to accommodate variations in the types and purposes of artefacts developed.

Contemporary literature reveals that, to date, the poultry livestock sector has not received sufficient research attention. This particular industry suffers from unstructured supply chain practices, lack of awareness of the implications of the sustainability concept and failure to recycle poultry wastes. The current research thus attempts to develop an integrated supply chain model in the context of poultry industry in Bangladesh. The study considers both sustainability and supply chain issues in order to incorporate them in the poultry supply chain. By placing the forward and reverse supply chains in a single framework, existing problems can be resolved to gain economic, social and environmental benefits, which will be more sustainable than the present practices.

The theoretical underpinning of this research is ‘sustainability’ and the ‘supply chain processes’ in order to examine possible improvements in the poultry production process along with waste management. The research adopts the positivist paradigm and ‘design science’ methods with the support of system dynamics (SD) and the case study methods. Initially, a mental model is developed followed by the causal loop diagram based on in-depth interviews, focus group discussions and observation techniques. The causal model helps to understand the linkages between the associated variables for each issue. Finally, the causal loop diagram is transformed into a stock and flow (quantitative) model, which is a prerequisite for SD-based simulation modelling. A decision support system (DSS) is then developed to analyse the complex decision-making process along the supply chains.

The findings reveal that integration of the supply chain can bring economic, social and environmental sustainability along with a structured production process. It is also observed that the poultry industry can apply the model outcomes in the real-life practices with minor adjustments. This present research has both theoretical and practical implications. The proposed model’s unique characteristics in mitigating the existing problems are supported by the sustainability and supply chain theories. As for practical implications, the poultry industry in Bangladesh can follow the proposed supply chain structure (as par the research model) and test various policies via simulation prior to its application. Positive outcomes of the simulation study may provide enough confidence to implement the desired changes within the industry and their supply chain networks.

The knowledge of artefact design in design science research can have an important application in the improvement of decision support systems (DSS) development research. Recent DSS literature has identified a significant need to develop user-centric DSS method for greater relevance with respect to context of use. The purpose of this paper is to develop a collective DSS design artefact as method in a practical industry context.

Under the influence of goal-directed interaction design principles the study outlines the innovative DSS artefact based on design science methodology to deliver a cutting-edge decision support solution, which provides user-centric provisions through the use of design environment and ontology techniques.

The DSS artefact as collective information technology applications through the application of design science knowledge can effectively be designed to meet decision makers’ contextual needs in an agricultural industry context.

The study has limitations in that it was developed in a case study context and remains to be fully tested in a real business context. It is also assumed that the domain decisions can be parameterised and represented using a constraint programming language.

The paper concludes that the DSS artefact design and this development successfully overcomes some of the limitations of traditional DSS such as low-user uptake, system obsolescence, low returns on investment and a requirement for continual re-engineering effort.

The design artefact has the potential of increasing user uptake in an industry that has had relevancy problems with past DSS implementation and has experienced associated poor uptake.

The design science paradigm provides structural guidance throughout the defined process, helping ensure fidelity both to best industry knowledge and to changing user contexts.

The aim of this paper is to benchmark the quality of web sites of major public accounting (PA) firms by seeking the opinions of potential clients and analysing the data to establish best quality practice for PA web sites.

The study was conducted in a controlled laboratory setting in which potential clients of PA firms used a modified version of the WebQual™ questionnaire to evaluate the web sites of six leading PA firms. Design science provided the guiding paradigm but its weaknesses were ameliorated by drawing on constructivism and pragmatism to provide context and practicality for the research.

The study established web site quality profiles of six leading PA firms. The interpretation of findings is influenced by axiology and rhetoric and are both unbiased (determined by statistical means) and biased (influenced by the researchers' values). Data analysis clearly showed that the usability construct reflected the highest quality at all levels while riskiness was the construct with the lowest quality level.

The use of multiple paradigms (design science, constructivism, and pragmatism) produced the desired insights to determining web site quality issues for the PA sector for the key reason that they complemented each other rather than being in conflict. However, the usefulness of the approach is dependent on follow‐up research to confirm the findings with the PA firms concerned and to monitor any action taken by them in response to the study's findings.

By benchmarking a number of PA web sites, practices within the sector will be able to learn from the findings and be able to improve the quality of their web sites thereby retaining the competitive edge to meet their clients' needs.

The paper reflects on the value of the multi paradigm approach to web site quality research design and conduct and discussion of findings. It was concluded that design science provided the necessary research rigour while the other two paradigms enabled the researchers to bring their worldviews on ontology, epistemology, axiology and rhetoric to the research.

This paper aims to present an overview of the design thinking (DT) methodology applied to information science research focusing on the user journey. DT stages are essential to understand, create and implement solutions based on the identified problems.

The paper applies bibliographic, theoretical and exploratory research based on the literature from DT methodology and information science.

The area of information science has not fully incorporated DT methodology on its practices, and DT presents considerable potential to support user experience.

Raise awareness of the information science community regarding the DT methodology as an alternative to apply to various types of research.

DT brings a unique contribution to engage people toward innovation in information centers; the paper is original, as it provides insights on the application of DT to improve the user journey related to information.

The proliferation of customer-related data provides companies with numerous service opportunities to create customer value. The purpose of this study is to develop a framework to use this data to provide services.

This study conducted four action research projects on the use of customer-related data for service design with industry and government. Based on these projects, a practical framework was designed, applied, and validated, and was further refined by analyzing relevant service cases and incorporating the service and operations management literature.

The proposed customer process management (CPM) framework suggests steps a service provider can take when providing information to its customers to improve their processes and create more value-in-use by using data related to their processes. The applicability of this framework is illustrated using real examples from the action research projects and relevant literature.

“Using data to advance service” is a critical and timely research topic in the service literature. This study develops an original, specific framework for a company’s use of customer-related data to advance its services and create customer value. Moreover, the four projects with industry and government are early CPM case studies with real data.