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Despite an increasingly explicit professional nature, the futures studies field has suffered an increasing constraining to a collection of specific techniques. The purpose of this paper is to harness the foundational shortcomings of current futures studies methods, namely the lack of a well‐defined underpinning theory and of rigorous, rational, systematic, repeatable, traceable, documentable, and transferable method. It proposes a rigorous theory for futures studies whereby futures can be logically designed.

This paper envisages the futures design activity as an extension and a generalization of decision theories and problem solving. The process is made comprehensible and interpretable thanks to a co‐generation referencing between two spaces named Concepts and Knowledge. It works by undertaking a formal mathematical approach on undecidable root concepts, bearing no logical status, by logically expanding them until a validable proposition in the knowledge space is reached. The paper is based on the concept‐knowledge theory (C‐K theory) from Ecole des Mines ParisTech, explains why it is needed, illustrates it and uses it on two illustrative futures studies examples.

The proposed research opens a new method for designing futures based on the C‐K theory that has the intrinsic capacity of constructing radical innovations for futures scenarios. While setting clear departure from, for example, brainstorming techniques or Delphi‐based methods, it offers a systematic method for designing futures that rests upon solid theoretical foundation that explains the nonsense or contradictions in producing futures.

While the C‐K theory is fully supported by a scientific basis founded on mathematics and is in widening use in domain‐specific industrial sectors at large, it is still being expanded both theoretically and epistemologically. The theory is not aimed at choosing or formulating suitable or appropriate root concepts, this being the role of domain professionals. Its implementation, however coherent, is only as extensive and covering the problematic at hand as the implementers are congruous to the application domain.

The proposed research can help futurists to develop new breakthrough plans, solutions and alternatives with essential and novel benefits: to help control the rationale of a futures scenario development, to control the degree of innovation (e.g. change, reform, progress, create …) to reach, and to bring to decision makers and policy‐makers the traced explanation of different design paths.

The benefits of the C‐K approach are detailed and elements founding further theoretical research are provided, including possible developments of C‐K theory specifically helpful for futurists. The research offers a collective design method for revisiting futures sciences by defining, understanding and developing creative futures alternatives that can collectively mobilize stakeholders. Workshops with stakeholders remain necessary, with experienced coaches catalyzing its field implementation.

The paper pushes the edge of the discussion on philosophical, ontological and epistemological grounds and supplies a theoretical underpinning for futures studies at large. The research is inherited from the creative power of modern mathematics as developed and proven by the C‐K theory, a powerful approach for discussing design phenomena. The author argues that it constitutes a suitable and useful asset for futures scientists insofar as to imagine, understand, develop, manipulate, and assess creative futures alternatives. The paper introduces and discusses the notion of futuron, which can be seen as a “logical quantum particle of future”.

Product configurators are expert systems that support product customization by defining how predefined entities and their properties may be combined. Developers of configuration systems act as designers, although they do not often recognize that they are performing as such. Moreover, exploring solution spaces is typically not integral to configuration projects, as this task is typically perceived as mapping existing knowledge to the configurator. This article argues that developing configurators may be understood by distinguishing between the problem and solution spaces using design thinking (DT).

A multiple-case-study approach with four configuration projects is adopted to study two projects involving DT and compare them to two similar projects not involving DT. Data collection depended on multiple data sources via workshops and semi-structured interviews.

First, DT methods and concept–knowledge (C-K) theory are integrated into configuration projects. Second, the application of DT during configurator development is presented through workshops and interviews, which demonstrates the benefits of DT in overcoming existing challenges.

The case studies demonstrate the successful implementation of DT in developing configurators. However, a limited number of cases in only one company limits the generalizability of the results.

The framework's individual steps create a structured approach to supporting industrial companies with a toolbox of DT techniques and methods for configuration projects.

The results show that the application of DT to configuration projects can improve user motivation, stakeholder satisfaction and knowledge acquisition.

The purpose of this paper is to present a fresh approach to stimulate individual creativity. It introduces a mathematical representation for creative ideas, six creativity operators and methods of matrix-algebra to evaluate, improve and stimulate creative ideas. Creativity begins with ideas to resolve a problem or tackle an opportunity. By definition, a creative idea must be simultaneously novel and useful. To inject analytic rigor into these concepts of creative ideas, the author introduces a feature-attribute matrix-construct to represent ideas, creativity operators that use ideas as operands and methods of matrix algebra. It is demonstrated that it is now possible to analytically and quantitatively evaluate the intensity of the variables that make an idea more, equal or less, creative than another. The six creativity operators are illustrated with detailed multi-disciplinary real-world examples. The mathematics and working principles of each creativity operator are discussed.

The unit of analysis is ideas, not theory. Ideas are man-made artifacts. They are represented by an original feature-attribute matrix construct. Using matrix algebra, idea matrices can be manipulated to improve their creative intensity, which are now quantitatively measurable. Unlike atoms and cute rabbits, creative ideas, do not occur in nature. Only people can conceive and develop creative ideas for embodiment in physical, non-physical forms, or in a mix of both. For example, as widgets, abstract theorems, business processes, symphonies, organization structures, and so on. The feature-attribute matrix construct is used to represent novelty and usefulness. The multiplicative product of these two matrices forms the creativity matrix. Six creativity operators and matrix algebra are introduced to stimulate and measure creative ideas. Creativity operators use idea matrices as operands. Uses of the six operators are demonstrated using multi-disciplinary real-world examples. Metrics for novelty, usefulness and creativity are in ratio scales, grounded on the Weber–Fechner Law. This law is about persons’ ability to discern differences in the intensity of stimuli.

Ideas are represented using feature-attribute matrices. This construct is used to represent novel, useful and creative ideas with more clarity and precision than before. Using matrices, it is shown how to unambiguously and clearly represent creative ideas endowed with novelty and usefulness. It is shown that using matrix algebra, on idea matrices, makes it possible to analyze multi-disciplinary, real-world cases of creative ideas, with clarity and discriminatory power, to uncover insights about novelty and usefulness. Idea-matrices and the methods of matrix algebra have strong explanatory and predictive power. Using of matrix algebra and eigenvalue analyses, of idea-matrices, it is demonstrated how to quantitatively rank ideas, features and attributes of creative ideas. Matrix methods operationalize and quantitatively measure creativity, novelty and usefulness. The specific elementary variables that characterize creativity, novelty and usefulness factors, can now be quantitatively ranked. Creativity, novelty and usefulness factors are not considered as monolithic, irreducible factors, vague “lumpy” qualitative factors, but as explicit sets of elementary, specific and measurable variables in ratio scales. This significantly improves the acuity and discriminatory power in the analyses of creative ideas. The feature-attribute matrix approach and its matrix operators are conceptually consistent and complementary with key extant theories engineering design and creativity.

First to define and specify ideas as feature-attribute matrices. It is demonstrated that creative ideas, novel ideas and useful ideas can be analytically and unambiguously specified and measured for creativity. It is significant that verbose qualitative narratives will no longer be the exclusive means to specify creative ideas. Rather, qualitative narratives will be used to complement the matrix specifications of creative ideas. First to specify six creativity operators enabling matrix algebra to operate on idea-matrices as operands to generate new ideas. This capability informs and guides a person’s intuition. The myth and dependency, on non-repeatable or non-reproducible serendipity, flashes of “eureka” moments or divine inspiration, can now be vacated. Though their existence cannot be ruled out. First to specify matrix algebra and eigen-value methods of quantitative analyses of feature-attribute matrices to rank the importance of elementary variables that characterize factors of novelty, usefulness and creativity. Use of verbose qualitative narratives of novelty, usefulness and creativity as monolithic “lumpy” factors can now be vacated. Such lumpy narratives risk being ambiguous, imprecise, unreliable and non-reproducible, Analytic and quantitative methods are more reliable and consistent. First to define and specify a method of “attacking the negatives” to systematically pinpoint the improvements of an idea’s novelty, usefulness and creativity. This procedure informs and methodically guides the improvements of deficient ideas.

The purpose of this paper is to review the literature on design for maintainability with emphasis on psychology and cognitive sciences and suggest possible gaps from the point of view of researchers and practitioners.

The paper systematically reviews the published literature and then analyzes it methodically.

The paper discusses a new shift in engineering design, in general, and design for maintainability (DFM) of mechanical systems, in particular.

Literature on DFM of mechanical systems with psychological factors has so far been very limited. This paper reviews a number of papers from the field of mechanical engineering and other related branches of engineering, along with important papers from the field of psychology and cognitive sciences. Subsequently, various merging trends in the field of DFM are identified to help researchers specifying gaps in the literature and direct the research efforts suitably.

The paper contains a comprehensive listing of publications in the field of maintainability from the psychology point of view. The paper will be useful to researchers, designers, maintenance professionals and others concerned with maintainability of a system. This paper is equally useful for the researchers and design professionals from the domain of engineering design irrespective of their field of application.

In further conceptualizing a novel generative knowledge management system (KM/KMS), this paper aims to focus on identifying and mitigating the risks related to its envisaged scaling from a prototype to an application with a rapidly growing user base.

It follows up on prior publications using design science research (DSR) methodologies in compliance with theory effectiveness, a principle expecting system designs to be purposeful in terms of utility and communication. The KMS perspective taken prioritizes a decentralizing agenda benefiting knowledge workers while also aiming to foster a fruitful co-evolution with conventional organizational KM approaches.

The utilization and further extension of the CKDT and a “scalable innovation” heuristic are assisting the detecting of potential scaling risks related to the logics and logistics, generative interoperability, technological capacitating, knowledge dynamics and value chain which further validates the viability of the proposed KM concept and system.

Although the prototype development is still in progress, the paper conforms to the DSR practice to report on early visions of technology impact on users, organizations and society but also reflects on expectations of viability, desirability and commitment, as well as the system’s prospect as a general-purpose-technology or disruptive innovation.

In addition to the novel KM-related perspectives, the paper’s practical emphasis on the scaling of more complex systems is rarely dealt with in the literature due to the respective projects’ often large-scale collaborative nature, broad methodological scope and diverse stakeholders’ interests. In this case, the task is eased as prior DSR outputs can be referred to.

The purpose of this paper is to present a framework of ideation pathways that organically extend the current stock of knowledge to generate new and useful knowledge. Although detailed, granular guidance is available in the strategy literature on all aspects of empirically testing theory, the other key aspect of theory development – theory generation – remains relatively neglected. The framework developed in this paper addresses this gap by proposing pathways for how new theory can be generated.

Grounded in two foundational principles in epistemology, the Genetic Argument and the open-endedness of knowledge, I offer a framework of distinct pathways that systematically lead to the creation of new knowledge.

Existing knowledge can be deepened (through introspection), broadened (through leverage) and rejuvenated (through innovation). These ideation pathways can unlock the vast, hidden potential of current knowledge in strategy.

The novelty and doability of the framework can potentially inspire research on a broad, community-wide basis, engaging PhD students and management faculty, improving knowledge, democratizing scholarship and deepening the societal footprint of strategy research.

Knowledge is open-ended. The more we know, the more we appreciate how much we don’t know. But the lack of clear guidance on rigorous pathways along which new knowledge that advances both theory and practice can be created from prior knowledge has stymied strategy research. The paper’s framework systematically pulls together for the first time the disparate elements of transforming past learning into new knowledge in a coherent epistemological whole.

This paper examines events management as a Community of Practice (CoP) and to demonstrate that knowledge management and practice within events operate as a CoP. The paper adds to the events management literature which is currently superficial in considering events conceptually as a CoP.

An interpretive and inductive approach was adopted for the research which incorporated quantitative and qualitative methods undertaken in a United Kingdom setting. Twenty-five in-depth semi-structured interviews with event professionals were conducted and this was complemented by a survey of 215 event professionals.

The findings demonstrate that within the evolving events industry, as well as reflected in aspects of the academic literature, events can be depicted as a “domain” which connects event professionals to a “community”. The themes emerging revealed that there are modes of working, shared values and practices, a shared identity and a desire to work as a wider collective in order to maintain and enhance knowledge and practice, which are in keeping with a CoP framework.

This study provides new insight on an under-researched area concerning knowledge and practice development within events management.

This is a novel study that considers how the emergent field of events management should be considered as a CoP. It addresses a gap in the literature pertaining to knowledge and practice creation within events management from a CoP perspective.

In the era of industry 4.0, managing the design is a challenging mission. Within a dynamic environment, several disciplines have adopted the complex adaptive system (CAS) perspective. Therefore, this paper aims to explore how we may deepen our understanding of the design process as a CAS. In this respect, the key complexity drivers of the design process are discussed and an organizational decomposition for the simulation of the design process as CAS is conducted.

The proposed methodology comprises three steps. First, the complexity drivers of the design process are presented and are matched with those of CAS. Second, an analysis of over 111 selected papers is presented to choose the appropriate model for the design process from the CAS theory. Third, the paper provides methodological guidelines to develop an organizational decision support system that supports the complexity of the design process.

An analysis of the key drivers of design process complexity shows the need to adopt the CAS theory. In addition to that, a comparative analysis between all the organizational methodologies developed in the literature leads the authors to conclude that agent-oriented Software Process for engineering complex System is the appropriate methodology for simulating the design process. In this respect, a system requirements phase of the decision support system is conducted.

The originality of this paper lies in the fact of analysing the complexity of the design process as a CAS. In doing so, all the richness of the CAS theory can be used to meet the challenges of those already existing in the theory of the design.

The purpose of this study is to examine how firms deal with a situation of true uncertainty about their potential markets and technologies. Specifically, it asks how firms can create products when the corresponding market does not exist.

This paper is based on a longitudinal study of a high‐tech firm, combined with analysis of existing theory in product design and entrepreneurship.

Markets and products are usually a defining choice made early on by firms in their strategic process. Such a choice guides their development by providing a “stable concept” to which decisions can be related. When markets do not exist yet, however, this approach is not effective. Early choice of products and markets limits firms' flexibility by constraining their ability and willingness to adapt, while fundamental new technical and market information is likely to emerge during the project that will prove the initial assumptions wrong. The paper shows an alternative approach where products and markets actually result from a generic process of products and markets exploration driven by the firm. It is suggested that this approach forms a robust design in that it allows the firm to deal with the uncertainty by simultaneously developing its products and exploring markets, while preserving the flexibility to adapt to the changing environment.

The practical implication of this paper is to suggest an alternative approach to deliberate planning in high‐tech ventures. With this approach, rather than markets and products, strategy defines a market and technology exploration process.

The paper is original in three ways. It links the product design and market exploration processes in high‐tech firm development; it is based on an in‐depth longitudinal study; and it results from an academic‐practitioner collaborative work.