Mind-sets are expected to influence the process of designing, which require designers to successfully integrate complex decision-making processes into good design solutions. The study reported here analyses whether differences in mind-sets shown by design students can influence their design processes and impact the quality of the design solutions that they produce. The considerations, design activities and quality of solutions that design students produced in response to a given design task are examined to make an inference of mind-sets in actual design situations. 45 undergraduate students majoring in industrial design filled in a questionnaire that assessed their mind-set, and engaged in a design task. Two general types of mindsets can be discerned empirically: discerning and opportunistic. Significant differences between design students with a discerning or opportunistic mind-set could be observed. Evidence for the cultivation of a discerning mind-set in designing is found. Building on these results, recommendations on how to potentially support design teaching and learning are discussed.

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This paper describes a study designed to investigate the effect of concept representation types on the use of abductive reasoning by decision makers when selecting early stage innovation concepts for further development. According to prior research, abductive reasoning can be instrumental to decision makers in terms of generating testable hypotheses about an innovation concept's future developments into concrete, viable product or service offerings. It has furthermore been linked with an increase in project acceptance rates. Here, an experiment is described testing whether visual concept representations promotes higher levels of abductive reasoning than textual concept representations or a combination of visuals and text. The results show that when purely visual concept representations were used, the participants showed a significant higher level of abductive reasoning than when this visual representation was complemented with text. This has managerial implications pertaining to how innovation concepts could/should be presented to selection committees or individuals in companies seeking to increase the amount of innovation projects that pass through a first screening process.@en

Design learning can be improved by understanding the differences between individual characteristics of students and its connection with their learning processes and outcomes. This paper focusses on the differences between discerning and opportunistic mind-sets. 91 students from industrial, product or automotive design courses participated in a quasi-experiment where they were required to generate solutions for a design problem, answer a Q&A survey and fill in a questionnaire. The obtained data were analysed using qualitative and quantitative metrics. We found evidence of individual characteristics, processes and outcomes that differentiate the discerning and opportunistic mind-sets. Based on these findings the paper proposes and discusses potential implications for design education.

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Function modelling is proposed in textbooks to support solution finding early in a development process. Although it has great potential to support the comprehensiveness and systematisation of conceptual design, it has been taken up in design practice only to a limited extent. Based on a literature review, potential barriers hampering its widespread application are discussed. A central problem revolves around the abstract nature of function modelling, which makes it difficult to apprehend the concrete benefits from its implementation. The article contributes to related research by showcasing success stories in the implementation of function modelling in six companies. The implemented models include morphological charts, use case modelling and two approaches developed in-house. The paper presents an interview study with managers and design leaders investigating the motivations and reasons leading up to the decision to newly implement function modelling in the companies. Furthermore, the paper explores the interviewees’ reflections on experiences gained while (gradually) implementing function models, the specific advantages attained, and also the challenges faced in doing so. The findings show that shared function modelling has great potential to support interdisciplinary collaboration and comprehension and to lead to a significant increase in the efficiency of the design process.

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Selecting innovative design concepts for further development entails decision making under conditions of sometimes extreme uncertainty pertaining to technical feasibility and market potential. In such situations, decision makers all too often become risk averse and reliant on known metrics that are inherently based on deductive and inductive logics. In prior research, however, good decision making on innovation has been linked with the complementary use of another form of logic: Abductive reasoning. Abductive reasoning changes the mind-set of decision makers to become intrinsically forward thinking and explorative towards innovation opportunity. In this paper, we present an experimental study suggesting that the cognitive, creative capabilities of humans correlate positively with their use of abductive reasoning in decision making. We are further able to show that a higher level of abductive reasoning leads to significantly better, i.e. more accurate, decisions in selecting successful innovation concepts. These findings have strong implications for companies seeking to improve their innovative performance, specifically, how and by whom decisions on innovation should be made.

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Function modelling is proposed in the literature from different disciplines, in interdisciplinary approaches, and used in practice with the intention of facilitating system conceptualisation. However, function models across disciplines are largely diverse addressing different function modelling perspectives and using different structures and forms for representing the contained information. This hampers the exchange of information between the models and poses particular challenges to joint modelling and shared comprehension between designers from different disciplines. This article proposes an integrated function modelling framework, which specifically aims at relating between the different function modelling perspectives prominently addressed in different disciplines. It uses interlinked matrices based on the concept of DSM and MDM in order to facilitate cross-disciplinary modelling and analysis of the functionality of a system. The article further presents the application of the framework based on a product example. Finally, an empirical study in industry is presented. Therein, feedback on the potential of the proposed framework to support interdisciplinary design practice as well as on areas of further improvement has been obtained from participants working in industry.@en

Purpose
– Managers spend a great deal of time in meetings making decisions critical to organisational success, yet the design aspects of meetings remain largely understudied. The purpose of this paper is to elaborate on the potential impact of one critical design aspect of meetings – namely, whether a decision to be taken (or the meeting in general) was scheduled or not – on the use of distributed information, information elaboration, conflict, speed of decision making, and, ultimately, decision-making effectiveness.

Design/methodology/approach
– The research presented in this paper combines a literature review with empirical data obtained from questionnaires and direct observation of decision making meetings on organisational issues in a hospital. One meeting was scheduled, the other two were unscheduled. A second questionnaire was administered 12 months after the respective decision making meetings to explore and evaluate the efficiency of the decisions made and their implementation.

Findings
– This paper suggests that a scheduled meeting with a shared agenda of all decisions to be taken may induce decision makers to form opinions upfront at the meeting, with these opinions eventually serving as sources of conflict during group discussion. Because of the nature of the conflict generated, these meetings are more likely to run long and to not deliver the expected outcomes
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Originality/value
– The study contributes to the debate on group decision-making processes by examining the effect of meeting scheduling on information elaboration and conflict in real-world decision-making settings. Although robust evidence has supported the existence of relationships between information elaboration, conflict, and decision-making effectiveness, previous studies have mainly focused on the effects of these processes during scheduled meetings and experimental settings. The findings of the present study show the effect of meeting scheduling on decision-making effectiveness in real-world settings.
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Designing complex systems is an iterative process requiring constant updating of models representing related information. To ease consistent modelling, this paper focuses on linking function modelling with quantitative modelling. Therein, the IFM framework is used as vantage point which is to be coupled with the CPM/PDD approach. An extended class structure for the IFM framework is proposed incorporating the data model of CPM to enable the transition of information between them. This is illustrated with an example. Finally, implications and potentials for future research are discussed.@en

Interdisciplinary system development requires the integration of diverse expertise to combine different engineering technologies and—increasingly often—services, in order to provide users with expected value and desired functionality in newly developed products. Failure to achieve integration of disciplines can result in design errors posing a direct threat to the users and to the company. Function modelling is expected to provide suitable means for the integration of disciplines early in the development process. However, a plethora of function models can be found within different disciplines or even across, and their divergence has proven to hamper shared, cross-disciplinary function modelling in design teams. This article presents research on function modelling in different disciplines in practice. Conducted research comprises empirical studies in ten companies developing mechatronic systems and/or Product-Service Systems in diverse market areas. The studies provide insights into the utilisation of different function models in different disciplines and across, as well as the specific needs and preferences of practicing designers regarding interdisciplinary function modelling. Finally, the obtained insights and their implications for supporting interdisciplinary function modelling are being discussed. Indications are derived which may guide future research endeavours pertaining to the development of support for collaborative, (cross-)disciplinary function modelling.@en