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This paper aims to concentrate on the conscious and systematic managerial activities associated with handling knowledge in an organization [i.e. knowledge management (KM) practices] for the purpose of improving innovation performance through proactive management of knowledge assets. This study explores the impact of KM practices on innovation performance in the research and training center of government apparatus.

This research provides empirical evidence on how various KM practices influence innovation performance. The results are based on the survey data collected in four areas of research and training centers of government apparatuses in Indonesia. Partial least squares are used to test the hypothesized relationships between KM practices and innovation performance.

The study found that IT practices and work organizations are positively and significantly related to innovation performance. This means that better implementation of information and technology will push innovation performance. The study also points out that knowledge-based compensation practice is one of the KM practice variables which is negatively and significantly related to innovation performance. This result shows that innovation performance will decrease by compensating knowledge improvement.

This study implies that in developing innovation performance, the research and training center should not focus on providing compensation, as it will only increase the costs rather than the innovation performance itself.

This study adds a knowledge-based view of government agencies by demonstrating the significance of KM for innovation performance. This study is also valuable from a managerial perspective, as it highlights the most effective KM practice to improve organizational innovation performance.

Because the discontinuous and uncertain characteristics of knowledge-based innovation cannot be reasonably interpreted by conventional management approaches, quantum mechanics which begins with uncertainty and concerns with a dynamic process of the complex system, has been exploratorily used in the management field. Although the theoretical new insights are provided by pioneering studies, quantitative research is in short supply. This paper aims to propose a quantum mechanics-based framework for quantitative research, thus extending the application of quantum mechanics in the knowledge management area from a dynamic system evolutionary standpoint.

Based on the similarity comparison between knowledge-based system evolution and atomic motion, the authors construct the atom-like structure of the knowledge-based system and elaborate the evolutionary mechanism of the knowledge-based system, thereby establishing the quantitative model. Apple and Zhongxing Telecom Equipment were selected for an empirical study to demonstrate the usefulness of the models for research on knowledge-based innovation and explore the unique knowledge-based innovation characteristics of the two firms.

First, the transition force of dynamic knowledge shows an inverted U shape; accumulating dynamic knowledge to a moderate degree not only facilitates transforming dynamic knowledge into static knowledge but also balances the relationship between the influence of knowledge force range and dynamic knowledge transformation. Second, existing knowledge is gradually substituted by new knowledge and knowledge density at a high knowledge energy level distinctly increases with a narrower bandwidth. Third, the investment loss is associated with resource configuration, resource utilization and the amount of accumulative dynamic knowledge before investment. Knowledge loss is negatively correlated with the knowledge compatibility coefficient.

The authors use the advanced method in quantum mechanics to legitimately unveil the emergence mechanism of knowledge-based innovation. Meanwhile, the authors capture the non-linear transformation relationship of heterogeneous knowledge and expose the change in ways of both investment loss and knowledge loss that cannot be quantified by conventional models. In doing so, the authors not only reveal the principle of qualitative knowledge change but also offer practical implications for developing flexible and targeted innovation strategies.

First, by proposing a complete quantum mechanics-based framework, the authors not only supplement the quantitative research contents to knowledge-based innovation literature which proposed calls to conduct research in way of quantum mechanics but also overcome the difficulties of knowledge-based system conceptualization and measurement. Second, the authors reveal the uncertain change of knowledge transformation and measure the loss of investment and knowledge, which contribute to identifying defects of firms in knowledge-based innovation. Third, the authors explore the internal mechanism that led to knowledge-based innovation exhibits non-linear characteristics and capture unique dynamic relationships between different variables which affect the emergence of knowledge-based innovation.

Dealing with intellectual capital (IC), the purpose of this paper is to provide a strategic tool for management activities in knowledge-based organizations. In particular, in the contribution, an integrated framework for intangibles’ representation, evaluation and control in Science Parks is developed.

Starting from a review of the main instruments for measuring intangible resources in an organization, an integrated model of IC for Science Parks is formulated.

The paper demonstrates that Science Parks are big repositories of knowledge but they are neither familiar with the IC management nor with the use of methodologies functional for the resources representations and for the variations dynamics of their value. Thereby it answers to questions related to the IC process representation, responding to managerial exigencies and to measurability and repeatability as strategic activities for business running.

Unlike the great number of studies on IC that formulate objective metrics of the value of firms’ intangible assets, the paper presents a model not to describe but to shape processes in a knowledge-based organization and to achieve and communicate results both for management and for increasing transparency of communication with external stakeholders.

The purpose of this paper is to explain bio-economy dimensions as a new stream of knowledge-based economy that exists in the new era of the information and communications technology.

Bio-economy refers to the production of a wide range of goods and services from plant, animal and forest-based material. It is more than just grain-based bio-fuels or bio-diesel as extensively highlighted in Latin America. It is related to biotechnology and other bio-activities based on knowledge generated from the bio-activities and extension of the knowledge-based economy.

The main concern of developing bio-economy is the environmental damage caused through the undesirable output produced by the bio-economy activities. Bio-economy is centred on research and development (R&D) collaborations across different sectors, including the public and private sectors, in order to breakthrough new products through invention and innovation.

For bio-economy to be realised and put into practice, it should have a well-developed regulatory framework as a platform in order to run and work smoothly.

One of the most challenging issues businesses face today is seeking ways toward gaining competitive advantage (CA). Although previous research considered several aspects in this regard, the literature has largely overlooked the process of gaining CA via knowledge-based marketing (KBM) capabilities. This paper aims to conceptualize KBM, to develop a new scale for KBM and to examine how to gain CA through KBM.

Drawing from the related literature and building on the concept of KBM, this paper conducted a mixed-method approach. After reaching a pool of items using qualitative methods, this paper developed new scales and validated them. This paper developed the model by highlighting the antecedent role of KBM toward CA. In the quantitative phase, using data collected from both public/private and manufacturing/service firms, this paper classified the extracted items into five critical factors. Moreover, the relationship between KBM and CA was tested.

The results indicate that KBM construct consists of five critical capabilities, including market research, competitive intelligence, supply chain management, customer relationship management and new product development. Moreover, there is a positive and significant relationship between KBM and CA.

The traditional ways to achieve CA no longer work. Instead, success in the existing business context necessitates firms to seek CA through their knowledge capabilities. Previous research did not fully address KBM antecedents toward CA in a comprehensive model. By developing a new scale for KBM, this paper tested its relationship with CA, which has hitherto received scant attention in the field of knowledge and competition.

Current financial accounting and reporting systems provide too little information on the kinds of intellectual assets that would appear to be important in a knowledge economy. But there has been little progress in changing financial information, or improving non‐financial information. Government could play a role in guiding reporting of new information that would allow investors to make better informed decisions.

Studies have demonstrated the role of human resource management (HRM) practices and knowledge management processes (KMPs) in innovative performance. However, there is limited focus on the role of HRM practices in facilitating KMPs in organizations, most especially in small and medium enterprises (SMEs) that are constrained by lack of adequate resources, making them dependent on external sources of knowledge. In addressing this gap, this study aims to investigate the link between knowledge-based HRM practices and open innovation (OI) activities through KMPs in Jordanian SMEs.

Following the survey method, 500 manufacturing SMEs in Jordan were randomly selected as participants, with a total of 335 responses collated. The structural equation modeling technique, based on AMOS, was used in analyzing the collected data.

The findings revealed a significant positive relationship between knowledge-based HRM practices and OI. In addition, KMPs was determined to be a significant mediator of the relationship between knowledge -based HRM practices and OI.

The study contributes to the literature by emphasizing the organizational elements that boost OI in SMEs. The findings hold significant implications for enhancing the performance of innovativeness, competitiveness and the socioeconomic advancement in the SMEs sector.

With the fierce competition in a knowledge economy, knowledge-intensive enterprises (KIEs) make technological progress in their catching-up processes through implementing product innovation and process innovation. In this study, the aim is to understand the determinants of enterprise innovation type in China's catch-up environment. Further, this paper intends to deal with two related questions. First, what effect does the internal knowledge base have on KIEs' technology innovation activities? Second, considering the technology gap and technology development speed, what are the different impacts of the knowledge base on the type of technology innovation activities?

This paper collected data from 212 KIEs in China through a two-stage questionnaire survey, combined with statistical data for research. The hypothesis was tested by regression analysis. Specifically, descriptive statistics and regression analysis are introduced to test the hypothetical relationship between the knowledge base and technology innovation. Meanwhile, multiple regression is used to test whether there is any difference in the influence of technology gap and technology development speed on enterprise knowledge base and technology innovation. Finally, the corresponding robustness tests are done.

This study finds that in a sample of Yangtze River Delta KIEs, firms' knowledge base influences innovation types. Specifically, the knowledge base width (KBW) and knowledge base depth (KBD) positively influence process innovation, and KBD positively affects product innovation. Regarding the effects of catch-up context factors on KIEs’ innovation choice, a wide technology gap tends to positively influence product innovation in industries with high levels of KBW. Moreover, when technology development speed is high, its potential positive influence on process innovation will be more significant for industries with deeper knowledge bases.

This paper fills the research gap that existing studies ignore the relationship between types of technology innovation and knowledge base dimensions, especially for KIEs. First, this paper deepens the understanding of the impact mechanism of KIEs' existing knowledge base on innovation activities; the unique use of resources by enterprises is the basis of enterprises' competitive advantage and will become enterprises' competitive advantage. Second, this study indicates that against different backdrops of technology gap and technology development speed, enterprises with different knowledge bases will adopt different types of technology innovation activities. Third, this paper shows that a wider technology gap provides broader innovation space, so the technology gap plays a pulling role in KBW and product innovation, thus pushing forward enterprises' technological catch-up.

Higher education institutions, particularly in developing countries, are striving for superior innovation performance to cope with the challenges of contemporary educational environment. Drawing on the knowledge management capability model and knowledge-based view of firms, this study aims to determine the impact of knowledge management enablers, namely, top management knowledge value, knowledge-oriented culture and knowledge-based rewards, on innovation speed and quality and assessing the mediating role of knowledge sharing process.

Data are collected from 234 academics of higher education institutions in Pakistan and analyzed through the partial least squares structural equation modeling technique.

The results indicate that top management knowledge value and knowledge-based rewards have a positive effect on innovation speed and quality. Although knowledge-oriented culture also contributes to innovation quality, it does not influence the innovation speed. Moreover, the knowledge sharing process mediates the effect of all these knowledge management enablers on innovation speed and quality.

This study underscores the importance of three key knowledge management enablers in higher education institutions. The findings of this study suggest that signaling knowledge value from the top management, fostering knowledge-oriented culture and enacting a knowledge-based reward system are critical in facilitating knowledge sharing process and enhancing innovation speed and quality in higher education institutions.

This is among one of the earlier studies that investigates the influence of top management knowledge value, knowledge-oriented culture and knowledge-based rewards on innovation speed and quality, particularly in higher education institutions, and determines the mediating role of the knowledge sharing process.

The aim of the paper is to explore the requirements of knowledge‐based management in the regional development network of the Tampere region in Finland.

The requirements of knowledge‐based management are analysed on the basis of the perceptions of the regional developers interviewed (n=13) and by using the extended SECI model and intellectual capital framework as analytical tools.

Different regions benefit from different knowledge‐based management activities according to their performance in the cycle of the extended SECI model and the intellectual capital available among the regional developers. When the knowledge‐based management requirements of a regional development network are identified by applying these two frameworks, more appropriate investments (e.g. for ICT infrastructure) and development activities can be made.

The perspectives of knowledge creation (i.e. the extended SECI model) and intellectual capital provide one approach for evaluating the call for knowledge‐based management of regional development. Other perspectives are also expected to be valuable as the understanding of regional knowledge‐based management in different contexts is enhanced.

The study contributes by proposing and applying a method for evaluating the requirements of regional knowledge‐based management.