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This article aims at contributing to the development of a Marxist theory of the production of knowledge, and in particular of natural sciences and techniques (NST), under capitalism. It rejects the double critique that the labor theory of value has become obsolete under modern capitalism and that Marx’s theoretical structure cannot accommodate mental production. The paper starts with two preliminary sections. First, some relevant aspects of dialectics as a tool of social research are submitted. Then, notions such as Information Society or Service Society are debunked. On this basis, the production of individual and of social knowledge is inquired into and the conditions for knowledge production to be production of (surplus) value are analyzed. Next, the question is tackled as to why and how this knowledge (and in particular NST) is functional for the interests of the capitalist class, even though in a contradictory way. Several examples are provided. Particular attention is paid to the computer and to biotechnology and genetic engineering. The most common objections against the thesis of the class determination of knowledge are dealt with. It is argued that class determination of knowledge can explain why the science and techniques developed in one society and by one class can be used in other societies and by other classes. Examples are provided of trans-class and trans-epochal elements of knowledge. Finally, the last section submits that a radically different type of NST can originate only from a radically different type of society, based on radically different production relations.

This chapter attempts to theorize the role of knowledge in the determination of the value of commodities. This draws from the South Korean controversy on the value and price of information commodities such as computer software and digital music. One group of writers has argued that the value of software copies (=commodities) is contributed by the labor time expended to produce the source code (=knowledge) in a piecemeal fashion. For another group, the source code has nothing to do with the production of the value of copies given that the source code is unnecessary for the (re)production of copies, and thus the value of software copies is approximately zero and its price is a high monopoly price. Both approaches are flawed. In the case of the former, no value can actually be transferred from the source code to copies because no changes are made to the source code before or after the production of copies. In case of the latter, knowledge is viewed as having nothing to do with value production. On the basis of this critique, an alternative view is put forward, in which knowledge plays an important role in value production by determining the productivity and/or complexity of labor. Knowledge “virtually intensifies” labor. It is also argued that intellectual property rights should be theorized in a way to refine and reproduce the role of knowledge – the virtual intensification of labor – at more complex and concrete levels of analysis.

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.

Research in business processes has been developed around a disciplinary approach toward the production of traditional knowledge, known as Mode 1. The problems studied with this approach are solved in a context in which academic knowledge prevails, with no major concerns regarding its practical applicability. Thus, the purpose of this paper is to propose a structure for knowledge production based on Mode 2 for business process researches.

A bibliometric research was conducted to define and conceptualize the classes of disciplinary problems, by assessing the years 2007-2012 of the Business Process Management Journal publications.

A framework for the Mode 2 knowledge production was proposed in the development of research in business process and conceptualized classes of problems related to this issue.

This work was carried out with specific focus on research in business process, so the defined classes of problems cannot be generalized.

The studies identified by this research are in the form of a disciplinary approach toward the production of traditional knowledge, known as Mode 1. This paper aims to fill the gap of a transdisciplinary production of knowledge and practical application, known as Mode 2 in the context of business process.

The authors revisit the notion of co-production, highlight more critical and re-politicized forms of co-production and introduce three principles for its operationalization. The paper’s viewpoint aims to find entry points for enabling more equitable disaster research and actions via co-production.

The authors draw insights from the authors’ reflections as climate and disaster researchers and literature on knowledge politics in the context of disaster and climate change, especially within critical disaster studies and feminist political ecology.

Disaster studies can better contribute to disaster risk reduction via political co-production and situating local and Indigenous knowledge at the center through three principles, i.e. ensuring knowledge plurality, surfacing norms and assumptions in knowledge production and driving actions that tackle existing knowledge (and broader sociopolitical) structures.

The authors draw out three principles to enable the political function of co-production based on firsthand experiences of working with local and Indigenous peoples and insights from a diverse set of co-production, feminist political ecology and critical disaster studies literature. Future research can observe how it can utilize these principles in its respective contexts.

This paper enhances our understanding of how national culture impacts manufacturing performance (assembly speed, consistency between teams, etc.) during a production process move. The authors also investigate the efficacy of co-location as a strategy to enhance knowledge transfer from one organization to another.

To study the impact of national culture on production process moves, the authors develop and employ a team-based behavioral experiment within and between an individualist society (the United States) and a collectivist one (China). The authors also examine the impact of co-location on knowledge transfer effectiveness within and between these two unique cultures.

Interestingly, co-location has little impact on the performance of US recipient teams. Without co-location, Chinese recipient team performance lags significantly behind the US teams. However, firms can overcome these knowledge transfer challenges by co-locating source and recipient team members. These results suggest that firms should assess the national cultural context when considering co-location to manage their production move. There are contexts where co-location may be incredibly useful to facilitate an effective knowledge transfer (e.g. collectivist cultures like China) and contexts where this approach may not be as valuable (e.g. individualistic cultures such as the United States).

This research contributes to the academic literature in several ways. First, while past research demonstrates that national culture can be an essential barrier to information and knowledge sharing, this paper extends these findings showing that co-location may effectively overcome this barrier. After the authors offer and test the merits of co-location, they also establish the boundary conditions of this approach by showing that the effect of co-location on knowledge transfer is contingent on the cultural context. This contribution enhances our understanding of the relationship between national culture and knowledge sharing and has implications for managers developing approaches to transfer knowledge between cultures. Second, the authors develop and execute a novel cross-country experimental design. While cross-country experiments have been done before (e.g. Ozer et al. 2014, Kuwabara et al. 2007, etc.), it is still rare to see such experiments due to them being “technically difficult and costly” (Ozer et al. 2014, p. 2437). This research not only offer insights into how teams of people from individualist and collectivist societies send, receive and comprehend production knowledge. It also documents how these teams convert this knowledge into production results.

The purpose of this paper is to compare two distinct network structures to determine and show which structure is more profitable. Specifically, it aims to show which factors render the lead factory concept advantageous.

Based on a simple, two‐stage model for prototype and serial production, the authors highlight factors that determine the relative advantages and disadvantages of the lead factory concept in comparison to an archetype network. The archetype network mirrors those networks that have not implemented special strategic plant roles.

The analysis shows that the lead factory concept benefits from an efficient knowledge transfer. Particularly, it is more profitable than the archetype network under the following conditions: there are a high number of production plants; the adaptation costs for implementing the transferred prototype from the lead factory to the plant are low; the manufacturing costs for the prototype are high; and the manufacturing processes are not highly specific or knowledge intensive.

The paper enables better understanding of the conditions under which the lead factory concept is advantageous for transferring knowledge within an intra‐firm network.

The purpose of this paper is to present research work based on the authors’ conceptual framework reported in the VRAP Conference 2013. It is related with an efficient method to obtain an optimal part build orientation for additive manufacturing (AM) by using AM features with associated AM production knowledge and multi-attribute decision-making (MADM). The paper also emphasizes the importance of AM feature and the implied AM knowledge in AM process planning.

To solve the orientation problem in AM, two sub-tasks, the generation of a set of alternative orientations and the identification of an optimal one within the generated list, should be accomplished. In this paper, AM feature is defined and associated with AM production knowledge to be used for generating a set of alternative orientations. Key attributes for the decision-making of the orientation problem are then identified and used to represent those generated orientations. Finally, an integrated MADM model is adopted to find out the optimal orientation among the generated alternative orientations.

The proposed method to find out an optimal part build orientation for those parts with simple or medium complex geometric shapes is reasonable and efficient. It also has the potential to deal with more complex parts with cellular or porous structures in a short time by using high-performance computers.

The proposed method is a proof-of-concept. There is a need to investigate AM feature types and the association with related AM production knowledge further so as to suite the context of orientating parts with more complex geometric features. There are also research opportunities for developing more advanced algorithms to recognize AM features and generate alternative orientations and refine alternative orientations.

AM feature is defined and introduced to the orientation problem in AM for generating the alternative orientations. It is also used as one of the key attributes for decision-making so as to help express production requirements on specific geometric features of a desired part.

This paper aims to explore the topic of client co-production in knowledge-intensive business services (KIBS). The paper first sketches a theoretical background and reviews previous studies on factors affecting successful client co-production in such companies and then examines these factors via case study research among a small KIBS company and its five customers.

The paper is based on an in-depth analysis of literature devoted to client co-production in KIBS firms and on the results of case studies analysis. The authors explore theoretically and empirically the perception of factors behind a successful client co-production process of a KIBS company from the point of view of both customers and service provider. The examination resulted in the clarification of what a successful client-KIBS firm cooperation should look like and what kind of actions KIBS firms should undertake to provide it.

As the analysis shows, to perceive client-KIBS firm cooperation as successful, customers desire on hand immediate effects that would justify and compensate their time and money investments (e.g. new clients or brand recognition) and on the other hand, some of them desire positive changes in longer-term, which tangible form is associated with the newly obtained knowledge and more importantly, freshly developed and written strategy. Among the factors that influence the co-production process one can list teamwork, trust, communication and knowledge flows.

Research results are limited to one KIBS company operating in Poland and its five customers. As such, they are not conclusive for the whole KIBS sector. The findings of both literature review and case study analysis indicate that there are several outcomes that are expected from the point of view of a KIBS customer when selecting the service of a KIBS company. The paper examines important aspect of service co-production and provides practical guidelines how cooperation between KIBS firms and their customers should look like.

The paper examines the relationship between a client and a KIBS company and explores the factors influencing the successful outcome of this relation. The paper provides guidelines on how this type of relation should be handled by managers or owners of KIBS firms.

The paper contributes to the literature on KIBS firms, especially in the scarce area of practical mechanics of their cooperation with customers. The paper also suggests further research possibilities in this area.

With the aim to support offshore production line replication, the specific purpose of this paper is to explore the use of templates and principles to transfer expansive productive knowledge embedded in a production line and understand the contingencies that influence the mix of these approaches.

A total of two case studies are introduced. Empirical data were collected over a period of two years based on interviews and participating observations.

The findings show that knowledge transfer within the replication of a production line is a stepwise expansive process; and rather than being viewed as alternative approaches, templates and principles should be seen as complementary once the transfer motive moves beyond pure replication.

The concepts introduced in this paper were derived from two Danish cases. While acceptable for theory exploration, the small sample size is an obvious limitation for generalisation.

A roadmap for knowledge transfer within the replication of a production line is suggested, which, together with four managerial suggestions, provides strong support and clear directions to managers.

Research in replication to date has mostly focused on templates and has mainly taken an organizational perspective. This paper shows its potential contribution on bridging the relevant theoretical gaps by addressing the effects of principles; and exploring how to use templates and principles to transfer productive knowledge in a specific context, which, in this paper, is a production line.