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This paper seeks to address the importance of knowledge production and capabilities for the construction industry; and the implications of the challenges associated with their effective exploitation for the construction industry in China.

A thorough review of extant literature and 31 detailed semi‐structured interviews with practitioners from 14 large, medium and small organisations in the UK construction industry. Content analysis was adopted as the analytical approach.

The main triggers of knowledge production in the construction industry are: the need to effectively deal with complex projects; the effective use of new, innovative building materials, systems, services; managing change (both project change and organisational change); coping with the uniqueness of projects; and managing team member interfaces (e.g. consultant‐contractor). Knowledge production is a complex process which can occur through a number of ways (e.g. formal research, reflective practice, transformation and combination of existing knowledge). Organisational culture influences knowledge production both positively and negatively.

This paper addresses the main ways in which knowledge production can benefit construction organisations and can impact positively to organisational innovations. It addresses the role of leadership and culture in knowledge production in organisations. Skilled and competent workforce is key in knowledge production, especially in addressing problem‐solving situations. Appropriate and focused training programmes (e.g. continuing professional development events, other short courses, in‐house programmes‐mentoring, coaching, and job rotation) are important in stimulating approaches for improved knowledge production in organisations. As shortages of skilled personnel are rife in construction in China, organisations need to take the issue of knowledge production more seriously.

The purpose of this research is to investigate the time structure characteristics of collaborative knowledge production behaviors in Q&A (question-and-answer) communities for explicit and tacit knowledge, and systematically investigate the supply side and the demand side of knowledge production.

Taking Zhihu as the research object, using the methods of recurrence plot and recurrence quantification analysis, this paper analyzes the recursive characteristics of the motion trajectories of the three behavioral sequences of questioning, answering, and discussion, qualitatively and quantitatively analyzing the generation and evolution mechanism of explicit and tacit knowledge.

The results show that compared with the demand-side behavior sequence, the supply-side behavior sequence exhibits higher stability, complexity and periodicity. Compared with the tacit knowledge topics, the demand-side behavior sequence of the explicit knowledge topics shows stronger nonlinearity, and the supply-side behavior sequence shows lower complexity.

The research conclusions provide preliminary evidence for the effectiveness of the recurrence plot method in distinguishing different types of knowledge production behaviors and have important application value for the “crowdsourcing” knowledge generation and identification under the knowledge economy and the sustainable development of the socialized question-and-answer community.

The purpose of this paper is to describe the knowledge generation in a cross‐disciplinary group in Norway that developed a new medical device. The aim is to shed light on how knowledge was generated and how the relationships between different communities of practice were mediated. In particular, the paper seeks to examine how material objects and contextual conditions influenced the innovation process.

In this longitudinal case study an innovation process was followed for five years, and the research material was constructed through extensive observations, interviews and document analysis.

The innovation process exhibited different themes in varying degrees of blend throughout the process. First, the practices of constructing the device and ascertaining technical feasibility are described. Then the enacted nature of the work is outlined; how it was significantly dependent on circumstantial factors, but also strongly shaped by the need to ensure clinical usability of the device. Finally, the work to package the innovation and turn it into a commercial product is explored.

In contrast with many previous studies, this study follows large parts of the innovation process, and it emphasises how knowing and practice are a result of networked, and changing, relations between both human and non‐human actors. Rather than one community of practice emerging around the innovation work, what can be called an object‐centred assemblage of communities of practice was seen, which grew and changed according to the changing nature of knowledge needs for the project to continue and succeed. This has interesting implications for the understanding of cross‐disciplinary innovation processes.

The purpose of this paper is to show why the establishment of “learning organisations” must be a central element of knowledge management – especially in firms operating on markets where product innovation is an important parameter of competition.

The argument straddles and combines insights related to management and organisation theory with an evolutionary economic analysis of the relationship between innovation, learning and knowledge. It is supported by an empirical analysis of survey data on Danish private sector firms. The survey was addressed to all firms in the private urban sector with 25 or more employees, supplemented with a stratified proportional sample of firms with 20‐25 employees.

The analysis shows that firms that introduce several organisational practices, assumed to characterise the learning organisation, are more innovative than the average firm.

The empirical findings are limited to the private sector and do not cover public sector organisations.

The learning organisation characteristics have a positive impact on dynamic performance and there are obviously lessons to be learned from the successful firms operating in turbulent environments that introduce specific organisational characteristics such as job rotation, inter‐divisional teams, delegation of responsibility and reducing the number of levels in the organisational hierarchy.

The paper puts “knowledge management” into the wider concept of “learning economy” and shows how a key element of knowledge management is to enhance the learning capacity of the firm.

The purpose of this study is to contribute to the understanding of the failure of science parks to become a central actor in the knowledge economy and, with the help of new organizational theory, to propose new solutions.

The paper reviews a number of recent studies of science parks and their effect on innovation and economic growth, measured by revenue or survival rate of new firms, but demonstrating no positive result of the parks. The paper then introduces modern organization theory, specializing in analyzing the processes of creating, managing, organizing, and transferring knowledge distributed through a number of networks and other volatile organizations in order to investigate the set‐up of science parks in the knowledge economy.

Using Nonaka's concept of ba as a metaphor for the new tradition in organizational theory, the paper finds very few – if any – signs of these new ways of organizing in traditional science parks. The paper argues that principles from modern knowledge organizations has to be installed in science parks if the parks are to regain the initiative and become an important actor in the new regime of knowledge production. Otherwise, science parks must be viewed as an outdated institution, left over from the industrial society.

The paper proposes a system of certification and quality assessment that might speed up the change in science parks from organizations formed by the industrial society to organizations serving the needs of the knowledge society.

The paper is an original contribution to the theory of science parks and innovation policy. The use of new organizational theory on knowledge management, illustrated by Nonaka's concept of ba, presents a new solution to overcome the traditional thinking on how to organize science parks.

Academic journals still navigate the relatively closed space of academic peer domains, but knowledge production explodes and blows up in a cloud of expanding “gases” of knowledges slowly solidifying into tectonically mobile continents. This paper seeks to address these issues. It also provides an overview of seven published papers.

This paper uses a viewpoint approach as well as introducing the current issue.

The paper finds that “everything in knowledge production and dissemination has changed”, which will have consequences and implications in areas such as research domain independence and the role of the academic journal.

This paper raises the issues of change in knowledge production and dissemination, and of possible redefinition in the areas of change management and cross‐cultural knowledge. It also introduces the seven papers in the current issue.

The purpose of this paper is to analyse the development and evolution of industrial innovation ecosystems of Around-Tongji Knowledge Economy Circle from the three levels mentioned above, focusing on knowledge-producing populations, core populations and service-supporting populations, and to further develop this research framework by combining with the latest developments.

Based on the five-helix theory and economic census statistical data, this paper adopts geographic information system technology and examines the characteristics of the industrial innovation ecosystem and the synergistic evolution process in Around-Tongji knowledge economy circle.

The knowledge product populations lead the development of industries in Around-Tongji Knowledge Economy Circle. It contributes political capital output for the government. It innovates community cooperation and governance mode, and it improves the natural ecological environment. In the face of the changes and challenges in the development environment, the future development must be recognised from the height of the iterative development of the interaction mode between university knowledge production and economic and social development.

Based on the five-helix theory and economic census statistical data, this paper examines the characteristics of the industrial innovation ecosystem and the synergistic evolution process in Around-Tongji Knowledge Economy Circle. It further expands the research framework used to develop a synergistic evolution model, which reveals the interactive and synergistic relationship among the populations and the evolution characteristics of the entire industrial innovation ecosystem. This paper also provides useful perspectives for the study of the industrial innovation ecosystem.

The purpose of this study is to explore in depth the anatomy of post-truth in the quest to set a new research agenda. The author interrogates knowledge production/dissemination and the political positions of those behind them. This study diagnoses and challenges existing claims of supremacy of certain hegemonic epistemological and ontological orthodoxies that have been weaponized.

This study philosophically engages with different worlds of credible ‘pluriversal’ knowledge(s) and leads to the exposure of historically ‘taken-for-granted’ definitions of the nature and composition of acceptable truth and how it is deeply entrenched in interest group politics.

Each generation in different contexts has had to battle with specific troubling forces of deception and organized hypocrisy. Here, both new social actors and incumbents influence the disgruntled, deceive the gullible or connect with the enlightened masses at the emotional level whilst strongly undermining the rules-of-logic and fact-based discourses using disruptive social media technologies. The author specifies how the five P’s: political power, profits, populism, politics and the private visions of technologists and scientists will continue to play very influential roles in how knowledge production will affect future policies and global governance.

Based on historicized explanations, the author argues that deception and mass ignorance as weaponized features of global governance and its capitalist order are typical Machiavellian strategies for gaining control over knowledge production/information dissemination. Massive changes are not expected in the future unless society and academia introduce novel science, technology and political platforms for engaging society and policy-makers.

The author provides ample historical illustrations to support the claims made in this study that public insights into the postulated structures of post-truth remain extremely superficial, making people insufficiently informed to engage in crucial discourses about knowledge production and dissemination that affect their futures. This study provides several ingredients for stimulating further debate.

The purpose of this paper is to discuss how practical relevance of management accounting knowledge relates to research paradigms and theoretical pluralism.

The paper is conceptual in nature.

As the management accounting discipline is considered to be an applied discipline, a number of authors claim that management accounting research should develop relevant theory that can be used in practice. This call for increased practical relevance of management accounting knowledge interrelates with a debate on the desirability of theoretical pluralism and paradigm diversity in management accounting research. Drawing on the work of Nicolai and Seidl, the paper distinguishes different forms of practical relevance, and analyses the effects of theoretical pluralism on these different forms. The paper argues how theoretical pluralism particularly enhances relevance in a conceptual sense rather than an instrumental sense. The conceptual relevance of research may further be enhanced by interpretive research that acknowledges complexity and that has the potential to challenge the performativity of mainstream management accounting knowledge, without challenging the pursuit of efficiency as such. This is different from critical research. The instrumental relevance stemming from mainstream management accounting research entails de‐contextualization and simplification, and might create unintended self‐fulfilling prophecies.

The paper broadens the concept of relevance so that it includes conceptual relevance and legitimative relevance. It links these concepts of relevance to three research paradigms: a mainstream paradigm, an interpretive paradigm and a critical paradigm. For each paradigm, relevance is related to the use of theory.

The paper broadens the concept of relevance and advocates the pursuit of conceptual relevance, particularly through interpretive research.

This paper aims to investigate knowledge‐capital relationship through tracking the history of knowledge commercialization.

Theoretical exploration, historical evidence and interviews are used in this research. Firstly it recalls the convergence of academic knowledge and industrial capital. Then the knowledge‐capital marriage is observed. Finally, the paper discusses the impact of the marriage on future enterprise development.

The combination of knowledge and capital is inevitable; the knowledge‐capital marriage is the origin of contemporary academic enterprise; the future enterprise will more rely on knowledge‐capital combination.

This study is helpful to policymaking: to promote the combination of knowledge and capital in less developed countries or regions, achieving knowledge‐capital interaction in innovation system.