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With respect to the guiding “ideas” of Humboldt and their consequences for the constitution of science, describes the transition to a modern research university with the emergence of theory‐based practice, science‐based technology and technology‐based industry. The pure research imperative is endangered or even substituted by a new technological imperative

This study aims to pose one major research question, i.e. why and how to use knowledge management methods in order to enhance knowledge creation in academia – at universities and research institutes?

The paper defines KM in academia as any systematic activity related to support and enhancement of the creation of scientific knowledge and achievement of research goals, including both social process and relevant computer technology tools. Two surveys and case studies were carried out to achieve the research purpose at Japan Advanced Institute of Science and Technology (JAIST). The first survey focused on knowledge management in academia and investigated the current KM situations, special and diverse requirements from researchers. The second survey concentrated on supporting the creative processes of academic research and investigated which aspects of knowledge creation processes should be supported in particular. Based on survey findings, the practical solutions are further presented aimed to improve the creative environment for scientific knowledge creation.

The findings from the first survey showed that the KM obstacles reflected on various aspects: technological support, the people involved in creation activities, laboratory cultural, and so on. The seven most critical questions and three most important questions were evaluated by responders with respect to academic knowledge creation process in the second survey.

The study advances the belief that knowledge management (KM) is applicable not only in industrial and market organizations, but also in academia.

With respect to the survey results, it is suggested that a creative environment in academia should be enhanced from both “soft” and “hard” aspects under the guidelines of a systems thinking framework for KM in scientific labs. From the soft side, by using personalization strategies, a knowledge‐sharing culture has to be built in labs to facilitate scientific communication, debate and team work. From the hard side, by using technology strategies, a practical example is presented in JAIST concerning the implementation of the hard aspect of creative environment. It is hoped that the research can launch further debate and prompt practical steps to help research institutes or universities improve their management and increase the research efficiency.

An essential point is that the study is based on the feedback from knowledge creators in a typical knowledge creation organization, which makes the analyses and conclusions more comprehensive and persuasive from both the theoretical and practical points of view. The research not only explores some hidden or tacit problems existing in academic knowledge management and scientific knowledge creation, but also proposes solutions for scientific knowledge creation that were found to be valuable by university management.

No scholar or researcher is able to provide robust evidence that counters the scant reflection on metatheory – mostly ontology and epistemology – underlying management studies in general, and industrial marketing and purchasing research in particular. This paper is a contribution to the indispensable discussion of metatheoretical alternatives in research, and most importantly, the strengths and shortcomings thereof, and respective implications on research questions, objectives, and findings.

The knowledge economy and the knowledge work that fuels it have created much debate in relation to the types of workers it requires and how they should be managed. The central issue is that “knowledge workers” are only valuable while possessing a body of knowledge to utilise in the process of their work. The management of workers with knowledge runs counter to the more mainstream Taylorist systems based on the assimilation of knowledge into the organisation. The purpose of this paper is to theoretically analyse the usefulness of Scientific Management as a management system for controlling knowledge work.

Through a review of relevant literature this paper compares the main principles of scientific management with the theory of knowledge work in an attempt to understand their relationship.

This paper finds that: despite the need for workers to retain knowledge the main principles of scientific management can still be applied; and the application of Scientific Management to knowledge work will result in an increasing division of knowledge, as opposed to division of task, which compliments the trend towards increasing occupational specialisation.

This article proposes that Scientific Management should be considered as a useful tool to manage knowledge work. This view runs counter to more mainstream accounts where Scientific Management and knowledge work are seen as incompatible. This paper partially fills the gap in understanding of how knowledge workers should be managed and is useful to academics seeking to characterise knowledge work and practitioners seeking to manage in the knowledge economy.

Knowledge-intensive entrepreneurial firms (KIE) strongly rely on scientific and strategic research and development (R&D) capabilities to achieve higher performance levels. Hence, the purpose of this paper is to disentangle the effects of scientific capabilities and strategic R&D on KIE performance; and how the constituent elements of these dimensions can be configured to generate conditions for high performance.

The authors’ empirical setting involves companies that submitted projects to the Innovative Research in Small Businesses (PIPE) program in Brazil. The authors then run partial least square structural equation modeling to verify how scientific and strategic R&D capabilities influence the performance construct. Second, the authors apply fuzzy-set qualitative comparative analysis to identify configurations that are equifinal in terms of generating superior performance.

Findings indicate a strong association between scientific capabilities and KIE performance. The configurational approach outlines the existence of multiple paths to success, but human capital stands as a core condition throughout estimations.

The authors’ assessment has implications for how KIE firms are managed according to their organizational profiles and trajectories. Also, it advances the authors’ comprehension on how entrepreneurship policies can better target these distinct profiles.

The authors’ analysis provides new evidence on the inherent complexity behind the generation of high performance in KIE when addressing their portfolios of knowledge-related capabilities. More than that, the authors were able to identify the existence of heterogeneous profiles that can equally lead to higher levels of performance.

By establishing a conceptual path through the field of artificial intelligence for objectivistic knowledge artifacts (KAs), the purpose of this paper is to propose an extension to their design principles. The author uses these principles to deploy KAs for knowledge acquired in scientific processes, to determine whether these principles steer the design of KAs that are amenable for both human and computational manipulation.

Adopting the design principles mentioned above, the author describes the deployment of KAs in collaboration with a group of scientists to represent knowledge gained in scientific processes. The author then analyzes the resulting usage data.

Usage data reveal that human scientists could enter scientific KAs within the proposed structure. The scientists were able to create associations among them, search and retrieve KAs, and reuse them in drafts of reports to funding agencies. These results were observed when scientists were motivated by imminent incentives.

Previous work has shown that objectivistic KAs are suitable for representing knowledge in computational processes. The data analyzed in this work show that they are suitable for representing knowledge in processes conducted by humans. The need for imminent incentives to motivate humans to contribute KAs suggests a limitation, which may be attributed to the exclusively objectivistic perspective in their design. The author hence discusses the adoption of situativity principles for a more beneficial implementation of KAs.

The suitability for interaction with both human and computational processes makes objectivistic KAs candidates for use as metadata to intersect humans and computers, particularly for scientific processes. The author found no previous work implementing objectivistic KAs for scientific knowledge.

Environmental behavior studies suggest that knowledge, in addition to other psychological and social factors, can play an important role in consumers’ environmental behavior change. The purpose of this paper is to understand the relationship between knowledge and various psychological factors which encourage consumers’ participation in pro-environmental behaviors. The relationships that link an individual’s attitudes toward science, environmental values, different types of knowledge (i.e. scientific facts, environmental facts, and subjective environmental knowledge), environmental risk perception, and willingness to pay (WTP) for the environment with pro-environmental behavior were examined.

Theoretically guided hypotheses and model were formulated and tested with multiple linear regression models. The study was based on measures and data obtained from the large-sample secondary database of the 2010 General Social Survey (n=2,044).

Results indicated that while attitudes toward science had direct effects on knowledge of scientific facts and knowledge of environmental facts, environmental values showed effects on knowledge of environmental facts and subjective knowledge on environmental issues. The results also indicated that from different types of knowledge, subjective knowledge on environmental issues had effects on both environmental risk perception and WTP for the environment. Knowledge on environmental facts, on the other hand, was able to predict only environmental risk perception. The scientific factual knowledge did not show an effect on mediator of pro-environmental behavior. Also, subjective knowledge indicated indirect effects on pro-environmental behavior through environmental risk perception and WTP for the environment.

Although research on understanding factors influencing pro-environmental behaviors and potential relations to individual knowledge has grown in recent years, there has been very little attempt at distinguishing between different types of knowledge and investigating their potential roles in the context of environmentally relevant behaviors. This study will help understand the functioning of different types of consumer environmental knowledge and their impacts on pro-environmental behaviors more in depth.

The purpose of this paper is to investigate how a combination of diverse sources of knowledge is important for generation of new ideas and address how institutional infrastructures and practices support integration of knowledge across organizations in medicine and life sciences.

The paper investigates new product ideas that emerge from hospital and university employees, and looks at the extent of interaction between clinical and scientific environments in the idea generation process. The paper utilizes data about all new product ideas within life science that were reported in South-Eastern Norway in 2009-2011, as well as information about the individuals and teams that had been involved in disclosing these ideas. Interviews with inventors have also been carried out.

Interaction and integration across scientific and clinical domains are common and important for generating new product ideas. More than half of the disclosed life science ideas in the database come from groups representing multiple institutions with both scientific and clinical units or from individuals with multiple institutional affiliations. The interviews indicate that the infrastructure for cross-domain interaction is well-developed, particularly for research activities, which has a positive effect on invention.

The paper uses an original data set of invention disclosures and investigates the hospital-science interface, which is a novel setting for studies of inventive activities.