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Despite the important role that exploitation plays in innovation and new product development (NPD), research on the relative impact of internal organisational stocks of existing knowledge on subsequent exploitation is largely absent. In particular, there is lack of clarity within the extant literature regarding the associations between organisational exploitation and, respectively, the distal-proximal technological experience and radical-incremental innovative experience generated by multiproduct firms. Thus, this study seeks to further enhance researchers’ theoretical understanding on the relationship between organisational exploitation and internal knowledge stocks categorised along two dimensions of organisational experience accumulated by multiproduct firms that have not previously been considered jointly.

This paper pursues a focussed literature review approach and applies the underlying theory of exploitation to develop a theory explaining the possible relationships between organisational exploitation and internal knowledge stocks.

Based on the theory of exploitation, this paper proposes a new direction in studying the various internal knowledge stocks and their respective impact on subsequent organisational exploitation.

The proposed research direction suggests an emerging framework of possible relationships between exploitative new radical products development in firms, and respectively, proximal and distal technological experience, and radical and incremental innovative experience, accumulated in multiproduct firms. This novel framework can guide further research on this topic.

To fill a research gap regarding the possible relationships between subsequent exploitative endeavours and two dimensions of organisational experience that have been traditionally associated with the exploration-exploitation construct, this paper proposes and develops a novel typology of knowledge stocks categorised along two dimensions of organisational experience accumulated by multiproduct firms that have not previously been considered jointly in the literature.

The aim of this paper is double. First, it provides a conceptual framework linking human resource management, organisational learning and knowledge management. Second, the paper builds a causal model and tests it with a sample of firms from the Spanish manufacturing industry, using a structural equation modelling technique. In particular, after the performance of a cluster analysis, a group of 72 learning firms is identified and used to test our model. Finally, major conclusions and implications for management are drawn and further avenues for research are suggested.

The purpose of this paper is to identify how organizational learning processes influence perceived organizational performance and examine the moderating roles of organizational justice and trust in managers therein.

This study develops a theoretical model to exhibit how knowledge acquisition and transfer activities influence perceived organizational performance. Data were collected from 515 respondents and analyzed by PROCESS macro for SPSS.

This study found that feedback learning flows are strongly mediated between learning stocks and organizational performance. It also found that organizational justice moderates the effect of learning stocks on organizational performance through feed-forward learning flows, while trust in manager moderates the effect of learning stocks on organizational performance through feedback learning flows.

This study has a limitation in which it uses self-report data to measure all constructs. The objective measure may be necessary for future study.

The implications of this study are twofold. First, it finds that the higher organizational justice, the better the transfer of knowledge from the bottom up. When firms need to explore new knowledge, fairness in procedure and the distribution system is critical. Second, the higher the trust in management, the better the transfer of knowledge from the top down. The role of managers is instrumental in persuading employees and disseminating knowledge.

Combining functionalist and critical perspectives and developing a theoretical model, this study contributes to the understanding of how trust and justice facilitate learning activities within organizations.

The owners of mega projects typically assemble multiple academic research units and enterprises to form an innovation alliance, which carries out knowledge transfer and knowledge creation targeting technical challenges in the process of engineering construction. Due to high technical and management complexity of mega projects, factors affecting knowledge transfer among innovation subjects are complex and diverse. This study proposes a mixed system dynamics (SD) method to build and simulate the process of knowledge transfer in mega projects innovation and analyzes the driving mechanism that enhances knowledge stock of enterprises and engineering innovation results.

First, this paper proposes a conceptual model for knowledge transfer in mega projects by adopting event analysis of the data gained from investigations and interviews. Then, a qualitative model of knowledge transfer that considers mutual influences of the owner, academic research unit and enterprises is developed. Based on that, mathematical relationship among variables of the qualitative model is determined and a quantitative model of knowledge transfer that considers heterogeneity of knowledge sender is built. Finally, simulation is achieved using Vensim software.

The factors affecting knowledge stock of enterprises are analyzed from three aspects: (1) the individual motives and capability of academic research units and enterprises; (2) the gap between academic research units and enterprises; (3) the heterogeneity of academic research units. The results show that the willingness and capability of knowledge reception by enterprises, specific knowledge transfer context such as relational distance and organization distance between academic research units and enterprises and academic research units with high knowledge stock have key influences on the knowledge stock of enterprises.

Factors affecting knowledge transfer within the alliance of innovation in mega projects and their correlations are highly complicated and difficult to determine. Despite massive investigations and interviews on many long-span bridges in China in this study, it is barely possible to directly obtain accurate data for all variables in the model. Limitations of historical data result in limitations on applications of the proposed model.

By building the mega projects knowledge transfer model and conducting simulation analysis, this paper has generated practical values for the owners of mega projects on fostering, organizing, coordinating and managing of innovations. Especially, this study provides specific strategies and suggestions on selection of innovation subjects, motivation and guaranteed efficiency of knowledge transfer and knowledge creation of academic research units and enterprises.

This study proposes a conceptual model for factors affecting knowledge transfer that applies to innovations in mega project context, which fills the gap in the research of knowledge management in mega project innovations. Additionally, combining with the method of SD, the unique role of owner in knowledge transfer of mega projects and the differences among various knowledge senders and their influences on knowledge stocks of enterprises are thoroughly considered, and the research method of modeling and simulation of knowledge transfer mechanism is supplemented and extended.

Strategy researchers have become fascinated with the possibilities for developing theoretical perspectives rooted in knowledge and intellectual assets as drivers of superior performance. However, there have been many different schools of thought, each with its own conceptualization lenses and operationalization approaches. In this chapter, we focus on three schools of thought: (1) knowledge as stocks; (2) knowledge as flow; and (3) knowledge as a driver of an organizational capability. We use them to: (a) lay out the distinct approaches to conceptualization and operationalization of strategy-related concepts; and (b) identify specific ways to enhance theory-method correspondence. We believe that considerable progress could be made towards developing a knowledge-based view of strategy but only when accompanied by serious attention to measurement and methodological issues.

This paper analyzes how organizations may use different knowledge management styles according to higher or lower emphasis on (1) techno‐structural initiatives for information processing, and (2) behavioral solutions for knowledge sharing by organizational members. As a consequence, the effects of these styles on learning capacity are also different. The empirical analysis of the present study found that knowledge management practices can be categorized into four styles: (1) passive, (2) behavioral, (3) techno‐structural, and (4) active. The active style, which implies superior management of both techno‐structural and behavioral tools of knowledge management has been the most effective in the development of learning capacity. In contrast, the passive style, which implies weak management of both kinds of knowledge management initiatives, results in lower learning capacity. Hence, this work focuses on suggesting and empirically testing a characteristic framework for how a set of knowledge management initiatives interact and influence learning capacity in organizations.

There has been little research that includes reliable deductions about the positive influence of learning capability on business performance. For this reason, the main objective of the present study is to empirically explore the link between learning capability in organizations and business performance evaluated in both financial and non‐financial terms.

Using data from 111 Spanish companies, research was conducted through a structural equation modelling. In doing so, a measurement model was conducted for the main constructs – learning capability, financial performance and non‐financial performance‐ and examine the paths between them.

The analysis shows the positive link existing between: learning capability and non‐financial performance; and non‐financial performance and financial performance.

This is a detailed empirical examination of learning capability as a source of performance in organizations. It should be of value to all those who think about the role of learning processes and knowledge in organizations, and who care about their effects on competitiveness.

This study aims to investigate how the inter-organizational learning (inter-OL) of small and medium enterprises (SMEs) promote intra-organizational learnings (intra-OL) and how inter- and intra-OL jointly promote organizational innovation in the Korean electronics industry. This study also examines the moderating effect of organizational dynamism.

A unique theoretical model shows how inter-OL promotes organizational innovation through intra-OL, knowledge flows and stocks. Data was collected from 201 SMEs in the Korean electronics industry and analyzed by structural equation modeling.

The findings show that inter-OL directly and indirectly influences innovation. Inter-OL promotes both knowledge flows and stocks, but the only feedforward flows influence innovation through knowledge stocks while feedback flows directly influence innovation. Additionally, the study finds an indirect effect of inter-OL on knowledge stocks and a strong direct effect on innovation when dynamism is high. Intra-OL activities fully mediate between inter-OL and innovation when dynamism is low.

This study uses single informants to measure all constructs. Future studies should use multiple informants.

This study shows that OL in SMEs is shaped by internal processes and external collaborations. Maintaining a connection with various external knowledge sources and creating collaborative opportunities to share learning experiences is critical to innovation.

This study is the first to empirically examine the relationship between inter- and intra-OL activities within a conceptual framework. The study provides a strategic view of how to facilitate OL activities considering the degree of organizational dynamism.

This study aims to develop and empirically test a “stocks and flows”-based model of intellectual capital (IC) that examines how human-embodied knowledge (i.e., human capital) can be transformed into organisational non-embodied knowledge (i.e., organisational capital) through the mediating roles of social capital and the knowledge management (KM) process of knowledge transfer.

A structural model was developed and empirically tested using a survey data set of 295 questionnaires collected from the “knowledge-intensive” pharmaceutical manufacturing industry in Jordan.

Empirical results revealed that each of human capital, social capital and knowledge transfer has a positive and significant effect on organizational capital. In particular, knowledge transfer emerged as having the strongest effect. Social capital, on the other hand, emerged as having a positive and significant effect on knowledge transfer. Mediation analysis revealed that while human capital significantly affects organizational capital, such an effect is partially and significantly mediated by each of social capital as well as knowledge transfer.

This study provides senior managers in pharmaceutical manufacturing firms with valuable insights pertaining to the development of their IC, in terms of how to exploit their knowledge stocks (i.e. human-embodied knowledge and organizational non-embodied knowledge) through managing knowledge flows between them. This was shown to be significantly leveraged by the mediating roles of social capital as well as knowledge transfer.

This study provides important theoretical and empirical contributions to the extant literature in a number of ways. It provides better understanding of the intricate linkages among IC dimensions, and how these play complementary roles in organizational capital development. It has also provided important empirical evidence highlighting the vital mediating roles of social capital and knowledge transfer in facilitating knowledge flows, which aid in transforming human-embodied knowledge stocks into organizational-embodied ones.