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Even though design as a purposeful activity naturally fits into the realm of cybernetics, the emphasis on control has limited the scope of using cybernetic principles in design. The idea of organization, another fundamental concept in cybernetics, has received less attention in design research and seems worthy of further exploration. The purpose of the paper is to review the two concepts and clarify their role and meaning in design. Overall, using insights from complex systems science, the paper attempts to recast the relationship between cybernetics and design.

The treatment uses category theory as a language and methodological approach in order to formally express the concepts of “organization” “control” and “design” and then study the relations between them.

Organization is defined using the mathematical concept of sketch, i.e. as a characterization of the complementary relation between theories and models. The paper demonstrates that the peculiarity of design rests on the fact that the distinction between theories and models is an anticipated but emergent state. In contrast, control‐based representations assume that the theory‐model distinction is given in advance, as an intrinsic characteristic. The paper demonstrates that design is a distinct paradigm in relation to control, yet it falls within the domain of cybernetic and complex systems enquiry.

The paper contributes to the understanding of design as a distinct type of problem in cybernetics by exposing differences between control and design problems. The paper also further lays the foundations for developing a cybernetic theory of design based on the concept of organization.

Six Sigma is a well-established powerful business strategy for achieving operational excellence (OPEX). However, previous studies have suggested that the Six Sigma may negatively impact organizational creativity and innovation. The C-K theory is one of the most widely used technique for design reasoning which promotes the creativity and innovation. The purpose of this paper is to integrate the Six Sigma methodology and C-K theory for enhancing innovative capacity of Six Sigma for achieving OPEX.

The paper proposes an integration methodology of C-K theory and Six Sigma using the extant literature. Also, a case study is conducted based on the proposed integration model.

The paper suggests a step-by-step integration methodology for integrating Six Sigma with C-K theory for both (DMAIC and DMADV). The methodology when applied to a live case in mining logistics the results are very encouraging. The solution was cost effective and also technically superior compared to previous solutions.

The paper proposes a step-by-step methodology for the integration of Six Sigma with C-K tools. The methodology is practically applied in a live case. Organizations can use findings from this paper to implement an integration model of Six Sigma with C-K theory.

This is the first paper that proposes an integration methodology of Six Sigma with C-K theory to enhance the innovation capability to achieve the OPEX.

The purpose of this study is to demonstrate that Strategic Enterprise Management (SEM) and Business Intelligence (BI) have the potential to integrate management decisions vertically through an organization’s hierarchy. This study also aims to present a design theory framework and build a model dimension using eight principles serving as mid-range theories.

This study uses a design science perspective to posit how organizations can successfully implement SEMBI (a union of SEM and BI). This study then completes the design theory by building the method dimension using two principles. Finally, the study presents testable hypotheses for the theory and an evaluation using stakeholder attitudes and judgments as proxies for objective measures.

In the search for a prescription for SEMBI success, this study finds that the notion of the Capability Maturity Model (CMM) is a good artifact with which to organize the principles the authors are seeking. CMM has since been adapted to suit different contexts by incorporating relevant principles from those domains. Hereafter, this study refers to SEMBI–CMM as the adapted solution for SEMBI's success.

This study coins and uses the term SEMBI to represent the union of SEM and BI. This term retains its distinct identities and principles and forms a holistic and integrated view of SEM and BI implementation strategies. In an effort to advance this line of research, this study employs a design science perspective to address the question of how an organization can successfully implement SEMBI.

The purpose of this paper is to give a structured literature review, design concepts, and research propositions related to a product‐oriented design theory for information services. Information services facilitate the exchange of information goods with or without transforming these goods. Exemplar information services are e‐publishing, electronic communities‐of‐practice, and management reporting. The importance of information services in the current economy merits the development of an explicit product‐ and process‐oriented design theory.

This article focuses on the product‐oriented design theory by applying Walls et al.'s framework. A product‐oriented design theory of information services identifies relevant descriptive and explanatory insights (i.e. content, use, value, and revenue), meta‐requirements, and meta‐designs. The paper describes design problems for information services, and gives key requirements for information services. Next, it describes the information, organizational and information technological components of an information service, and identifies at least four information service architectures. Finally, it gives research hypotheses, research ideas, and discusses practical implications.

The results form a product‐oriented design theory for information services. The paper gives a structured way for practitioners to analyze information service design challenges, and suggestions are given for requirements and design decisions on three aspects (content, use feature, and revenue).

Given the previously fragmented nature of the literature, this paper gives new opportunities for research and practice.

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”.

The purpose of this paper is to address the problem of designing artificial complex adaptive systems, like information systems and organisations, by developing a proof‐of‐concept conceptual proto‐agent model.

The paper develops an exploratory proto‐agent model and evaluates its suitability for implementation as agent‐based simulation.

The paper focuses on understanding the effect of emergence when designing artificial complex adaptive systems and produces a proto‐agent model that identified agents and their behavioural rules for modelling.

In deferred action, agents act in emergent organisation to achieve predetermined goals. Since emergence cannot be predicted, information systems and organisation design approaches that cater for emergent organisation are required.

The deferred action construct is a synthesis of planned approaches and contingency approaches to design information systems. It recognises the effect of emergence on information systems.

This article aims to explore, by drawing on, and coordinating and combining Cultural Historical Activity Theory and Community of Practice theoretical perspectives, what we might learn about how to design for Lesson Study that best supports both collective and individual learning.

The article primarily makes a theoretical contribution. It does, however, draw on, and is informed by, the design of a large-scale study that sought to improve teaching and learning in mathematics with the particular aim of improving grades of post-16 learners in national examinations in England. Lesson Study was central to the designed intervention and such design is explored from the two theoretical perspectives.

Theoretical analysis suggests how the careful design of Lesson Study can facilitate both individual and collective learning in terms of the theories networked here. In particular, it is suggested that supporting collective learning requires careful attention to how “disturbances” in activity systems need to be designed for rather than being left to chance and how architectures that can support individual learning in terms of identity development should pay attention to supporting emerging practices as well as defining what is non-negotiable.

The article takes a novel approach by coordinating and combining two different, and well established, theoretical approaches, which, significantly, are used quite widely in social science research. Together they provide a rich view of learning at both individual and collective levels and suggest ways in which we might better support design for Lesson Study.

Design-based research (DBR) involves multiple iterations, and innovations are needed in analytical methods for understanding how learners experience a learning experience in ways that both embrace the complexity of learning and allow for data-driven changes to the design of the learning experience between iterations. The purpose of this paper is to propose a method of crafting design moves in DBR using network analysis.

This paper introduces learning experience network analysis (LENA) to allow researchers to investigate the multiple interdependencies between aspects of learner experiences, and to craft design moves that leverage the relationships between struggles, what worked and experiences aligned with principles from theory.

The use of network analysis is a promising method of crafting data-driven design changes between iterations in DBR. The LENA process developed by the authors may serve as inspiration for other researchers to develop even more powerful methodological innovations.

LENA may provide design-based researchers with a new approach to analyzing learner experiences and crafting data-driven design moves in a way that honors the complexity of learning.

LENA may provide novice design-based researchers with a structured and easy-to-use method of crafting design moves informed by patterns emergent in the data.

To the best of the authors’ knowledge, this paper is the first to propose a method for using network analysis of qualitative learning experience data for DBR.

The organisational design of production systems is thought to be one of the key determinants of their performance. Therefore, in order to enable them to contribute effectively to the successful creation of products and services, OM practitioners need up‐to‐date, comprehensive and sufficiently detailed organisation design theory. However, 27 case studies aimed at identifying and explaining design performance relationships produced results that could not be explained using organisation theory (OT), while operations management (OM) theory did not provide much help either. OM, because the discipline lacks good organisation design theory. OT, because of some severe limitations, which are mostly due to the paradigmatic directions this discipline has taken. Consequently, OM has to take up the gauntlet itself. An agenda for OM‐driven organisation research is proposed, which builds on the strengths of OT, takes away its major weaknesses, and is believed to contribute to the development of actionable organisation design theory.

The purpose of this paper is to show how the viable system model (VSM) and de Sitter's design theory can complement each other in the context of the diagnosis and design of viable organizations.

Key concepts from Beer's model and de Sitter's design theory are introduced and analyzed in order to show how they relate.

The VSM provides insight into the related systems necessary and sufficient for viability. As such, it specifies criteria supporting the diagnosis and design of organizational infrastructures, i.e. of organizational structures, HR systems, and technology. However, it does not explicitly conceptualize and provide a detailed heuristic for the design of organizational structures. De Sitter's theory fills in this gap.

The paper illustrates how, based on a rudimentary model of organizational viability, de Sitter's design theory positively addresses the question of how to diagnose and design organizational structures that add to the viability of organizations.