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The purpose of this paper is to identify interdependent barriers to the search and selection of new technologies by design engineers at industry, organisation and individual levels. A “proof of concept” HyCon tool is presented to demonstrate the role of information technology design support tools in supporting designers to overcome these inhibitors, in this case for hybrid concrete, by providing immersive and interactive, information‐rich environments to explore design solutions.

The HyCon tool was developed through a prototyping methodology encompassing a testing, analysis, design and coding iterative cycle. This was supported by case studies and industry workshops.

The results of a collaborative research project are presented, which describes the HyCon design support tool to promote the understanding and use of hybrid concrete in structural frames. This tool is built around a knowledge creation, application, storage, and retrieval cycle to envision and support the use of this new technology.

This paper fulfils an identified need to integrate technology management and design process considerations within the context of an information technology design support tool, and offers a “proof of concept” HyCon tool to demonstrate key issues and potential utilities and applications.

To be successful, pervasive computing requires a balance of computing, design, and business requirements to be considered throughout the design process. Achieving this synthesis requires a level of interdisciplinary design that is not present in current pervasive design tools. To understand the state of the art and provide insight to future tool designers, the purpose of this paper is to present a survey of design tools for pervasive computing and consider their ability to be used in interdisciplinary design.

The authors have performed a survey of tools covering many areas within pervasive computing and have evaluated the abilities of each tool with established metrics for pervasive design tools.

While the paper has found many design tools are available for constructive pervasive applications, few are suitable through all phases of the design cycle or useful across all the intended application domains of pervasive computing.

This survey provides an understanding of the state of pervasive design tools, with regards to interdisciplinary design, which has not previously been performed. Additionally, the authors provide evaluations of the pervasive tools when used in an interdisciplinary setting. These evaluations provide insight to key metrics and allow tool designers to understand the needs of their intended audience.

Design-Build (DB) is known as the alternative for Design-Bid-Build in the Malaysian construction industry. For DB projects, it is critical to adopt effective decision support tool to ensure the execution of a systematic decision-making technique. This study aimed to examine the impact of a decision support tool for novice decision makers to reject or adopt DB for their construction projects.

Literature review and qualitative input from experts identified several key-selection factors pertaining to critical success factors and design-build drivers. This resulted in the development of Decision Support Tool for Design-Build (DST-DB). A quasi-experiment, which involved 382 novice decision makers in the construction industry, was conducted to test the DST-DB quantitatively. The participants were required to compare two construction projects using DST-DB and traditional decision-making methods. Multivariate analysis was performed to analyse all collected data.

The quasi-experiment data suggests that DST-DB enables significantly higher usability, likelihood, precision, confidence and satisfaction rate when compared to the traditional decision-making process. The pre- and post-surveys indicated that the DST-DB is effective in improving decision-making performance through selection factors of client-briefing, maximised resources and sharing expertise. The participants also agreed that DST-DB is easy to use and helps them to gain better understanding of the decision-making process for construction projects.

This research contributes to the existing body of knowledge through the impact of DST on the decisions of novices. The novice decision makers found that DST-DB is practically adaptable and comparatively effective for decision-making process than traditional decision-making methods. This contributes to the practical application of construction companies to provide DST-DB training to the fresh graduate employees to enhance their competencies in the decision-making process.

Action design research (ADR) has become widely accepted as a prominent research method within information systems when managing design-oriented research projects. One purpose of the ADR method is to provide methodological guidance for the building of IT artefacts. However, several scholars have reported a lack of guidance of method support at the micro level. This article aims to complement the macro level of the ADR method by integrating prescriptive method support at the micro level.

A qualitative approach including direct content analysis. An empirical ADR project was analysed in order to identify method support that could be integrated into the ADR method.

Method support at the micro level was identified for all the stages of the ADR method. The method support consists of procedural support, guiding concepts, and various techniques for the documentation of project tasks stated in the ADR method.

The contribution to theory consists of aspects concerning the integration of macro and micro levels: relationships between normative and prescriptive support, continuous focus shifts, and method completeness.

The contribution to practice consists of explicit suggestions for method support that could be integrated into the ADR method.

This study extends previously provided knowledge by offering empirical evidence concerning theoretical constructions consisting of explicit relationships between ADR tasks and integrated method support, and elaboration on the integration of macro and micro levels.

This paper aims to present a model of collaborative inquiry play: rule-based imaginary situations that provide challenging problems and support agentic multiplayer interactions (c.f., Vygotsky, 1967; Salen and Zimmerman, 2003). Drawing on problem-based learning (PBL, Hmelo-Silver, 2004), this paper provides a design case to articulate the relationship between the design goals and the game-based learning environment.

Drawing on conjecture mapping (Sandoval, 2014), this paper presents an iterative development of the conjecture map for crystal island: ecojourneys and highlights the development of the story and tools in crystal island: ecojourneys, an immersive game based on PBL pedagogy. By articulating this development, the authors highlight the affordances and constraints of designing for collaborative inquiry play and address challenges in supporting learner agency.

The PBL inquiry process served as the foundation of collaborative inquiry play. Attending to the rules of inquiry fostered student agency, and in turn, playful engagement in the game-based learning environment. Agency however meant holding students accountable to actions undertaken, especially as it pertained to generating group-based explanations and reflecting on productive collaboration. Moreover, socially shared regulation of learning and systems thinking concepts (i.e. phenomenon, mechanisms, and components) must also be externalized in representations and interactions in the game such that students have the agency to decide on their learning paths.

This paper presents the model of collaborative inquiry play and highlights how to support player agency and design content-rich play environments which are not always completely open.

The purpose of this paper is to propose a new software tool to support design for quality (DfQ) in the electronics manufacturing sector where quality and reliability are critical.

An integrated modelling framework that enables complete and realistic representations of manufacturing systems is proposed. A software tool, developed based on this framework, offers two modules to support DfQ: simulation and root cause analysis. This paper focuses on the latter.

Integrated models enable tracing back effects to their root causes. Software tools based on these, kind of models can provide support in finding and eliminating the cause of a particular effect. This capability can be used to perform DfQ in an effective and accurate way.

The approach proposed strongly depends on the quality models within the integrated modelling framework. The models currently available are little and simplified. Future work includes the enrichment of the software by developing and more quality models.

The adoption of the proposed approach in an industrial context requires formalised information to fulfil the data required by the integrated modelling framework.

The main contribution of the paper is the integrated modelling framework definition and its implementation in the form of a software tool. The adoption of this tool in printed circuit assembly companies can support the solution of real quality problems and consequently, help to optimise manufacturing systems in the domain.

This paper investigates the suitability of fuzzy-logic-based support tools for initial screening of manufacturing reshoring decisions.

Two fuzzy-logic-based support tools are developed together with experts from a Swedish manufacturing firm. The first uses a complete rule base and the second a reduced rule base. Sixteen inference settings are used in both of the support tools.

The findings show that fuzzy-logic-based support tools are suitable for initial screening of manufacturing reshoring decisions. The developed support tools are capable of suggesting whether a reshoring decision should be further evaluated or not, based on six primary competitiveness criteria. In contrast to existing literature this research shows that it does not matter whether a complete or reduced rule base is used when it comes to accuracy. The developed support tools perform similarly with no statistically significant differences. However, since the interpretability is much higher when a reduced rule base is used and it require fewer resources to develop, the second tool is more preferable for initial screening purposes.

The developed support tools are implemented at a primary-criteria level and to make them more applicable, they should also include the sub-criteria level. The support tools should also be expanded to not only consider competitiveness criteria, but also other criteria related to availability of resources and strategic orientation of the firm. This requires further research with regard to multi-stage architecture and automatic generation of fuzzy rules in the manufacturing reshoring domain.

The support tools help managers to invest their scarce time on the most promising reshoring projects and to make timely and resilient decisions by taking a holistic perspective on competitiveness. Practitioners are advised to choose the type of support tool based on the available data.

There is a general lack of decision support tools in the manufacturing reshoring domain. This paper addresses the gap by developing fuzzy-logic-based support tools for initial screening of manufacturing reshoring decisions.

The use of supportive digital technology – the provision of supportive services and self-management health tools using digital platforms – by marketers is increasing alongside research interest in the topic. However, little is known about the motivations to use these tools and which tool features provide different forms of social support (informational, emotional, instrumental, network or esteem). The purpose of this paper is thus to explore consumer perceptions of supportive healthcare self-management and preferences for different levels of interactive features as social support in a health services context.

A qualitative approach involving 30 semi-structured interviews with consumers interested in two common preventative health services that use supportive digital tools (SDTs) (skin-cancer checks and sexually transmitted infection checks) was undertaken. Thematic analysis was used to analyse the verbatim transcripts.

This research identified there is a lack of motivation to initiate the search for SDTs; consumers are motivated by a desire to control and monitor health concerns and avoid overuse of the health system. The findings showed a preference for social support to go beyond informational support, with a need for interactivity that personalised support in a proactive manner.

SDTs are positively perceived by consumers as part of health services. The motivation to use these tools is complex, and the social support needed is multifaceted and preferably interactive.

This research assists service marketers to better design informational and instrumental support for preventative self-managed healthcare services.

This paper extends knowledge about the motivation and social support required from SDTs in a preventative health service context.

The purpose of this paper is to explore the clinical perspective of the practicality, utility and face-validity of the dynamic support database (DSD) Red, Amber, Green (RAG) rating support tool within adult learning disabilities services in a North West NHS Foundation Trust. The aim of the current project is to evaluate the practicality, utility and face-validity of the DSD RAG rating support tool, as reported by clinicians who have been employing it.

A mixed-methods design was utilised by asking clinicians to complete a questionnaire in relation to the DSD Support Tool. Questionnaires were distributed across three community learning disability teams within the North West. A total of 50 clinicians completed the questionnaire which included rated responses for quantitative analysis and free-text comments for qualitative analysis.

Positive ratings given by clinicians suggested good practicality, utility and face-validity in relation to the tool. Analysis of the free-text comments suggested that the tool supported clinical judgement in a standardised way and helped discussions with commissioners. Feedback also provided insights into how the DSD support tool could be improved.

Further investigation would be required to yield higher numbers of participation across NHS Trusts to add reliability to the present findings.

The DSD support tool has been used within the NHS Foundation Trust for the last 12 months however the practicality, utility and face-validity of the tool had not been explored from the clinician perspective.

The purpose of this paper is to describe the framework of conceptual design support tool (CDST) developed to assist designers during conceptual design process. The premise of the study is that, by combining human creativity with computer capabilities, it is possible to perform conceptual design process more efficiently than solely manual design. The study aims to show how conceptual design knowledge can be captured from experienced designers and kept in the computer system for later use and how the developed tool assists designers by handling some of the repetitive and time‐consuming tasks.

A conceptual design process model, which integrates systematic design approach with knowledge‐based system, is proposed. Based on this model, a CDST, which consists of function library, alternative concepts database, different modules for conceptual design activities, and a knowledge‐based system is developed. The alternative concepts database is built based on design reuse philosophy. Furthermore, the tool is designed to accept and save new concepts from the user through its knowledge acquisition module without modifying the source code. The CDST is developed using public domain open source programming environments namely CLIPS, Python, wxPython, and PyCLIPS.

Through its graphical user interface, CDST assists designers in performing the conceptual design process such as functional modelling, using standard vocabularies of functions, generating concepts and displaying on morphology chart, concept combination, and concept evaluation. The functionality and interaction between the user and the CDST is demonstrated with an example.

Currently, the alternative concepts database consists of concepts from subsea process equipment design and few general mechanical designs. The database can be enhanced by adding more concepts through the knowledge acquisition module provided.

The tool can be used as a knowledge management system in industry by capturing expertise knowledge and to train novice designers. It augments designer's knowledge by providing concepts from past designs.

The research output from this paper can be valuable resource in industry to support designers with computers. The research represents one of the attempts to develop domain independent conceptual design tool that can acquire new concepts throughout its lifetime.