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The paper investigates the effects of strategic human resource practices on intellectual capital and new product development performance in knowledge-based firms.

A quantitative approach was adopted to conduct the present study. The respondents were sampled from knowledge-based firms in Iran. Overall, 120 managers in 60 knowledge-based firms were selected using convenience sampling. A confirmatory factor analysis was conducted to ascertain the validity and reliability of the observed items, and a structural equation model was employed for testing the proposed hypotheses.

In the studied firms, strategic human resource practices have a positive and significant effect on intellectual capital. Moreover, the findings of this study indicate that those firms that use their intellectual capital have a higher new product development performance.

The study focuses on knowledge-based firms in Iran, which limits the generalizability of the research results. Therefore, future studies should be carried out with samples from other settings and countries. Moreover, as the study was cross-sectional, the causal relationships could not be inferred directly.

With regard to key areas of improvement identified in this study, knowledge-based firms should focus on increasing new product development performance by improving employees' training, involving them in their job-related decision-making process, empowering employees to innovate, developing intellectual capital and monitoring the customer's satisfaction level of new products.

The study extends the intellectual capital literature by linking strategic human resource practices to new product development performance in knowledge-based firms via intellectual capital as a mediator.

The purpose of this paper is to explore the latent factorial structure of task performance and to establish its construct validity among academics working at private universities in Pakistan.

Through a cross-sectional research design, purposive sampling and quota sampling were used to allocate a sample of 347 academics from 21 private universities in the Punjab/Islamabad Capital Territory of Pakistan. SPSS 20 and SmartPLS 2.0 software were used to perform exploratory factor and partial least squares analyses on the data.

The presence of two new constructs – student development performance and knowledge development performance – in the task performance of academics was confirmed in the private higher education industry in Pakistan.

This research has extended the theory of task performance of academics conceptually based on the articulated and validated emergence of student development performance and knowledge development performance as two separate constructs.

This research extends the theory of academics’ task performance conceptually, based on the articulation and validation of student development performance and knowledge development performance as two separate constructs. Moreover, the emergence of these two distinct constructs has practical implications in the education industry among Asian and western managers and employees.

A two-factor solution that best fits the data has emerged from the researchers’ observations. This contributes to the taxonomy of research in the domain of academics’ task performance in the private higher education industry in Pakistan.

This study seeks to systematically and practically explore, for the first time, task performance within the context of Pakistan’s private higher education industry. From the data analysis, the researchers were able to identify, establish and label two new latent constructs in academics’ task performance.

Although previous studies have examined the influence of asset specificity on firm performance, the literature has not focused on the influence of supplier asset specificity on product development, or the transformation that induces this. This study aims to propose a model by using the relational exchange perspective to explain the mechanism in which supplier investment in specific assets on behalf of buyers influences buyer performance in product development.

Empirical data were collected from research and development staff in Taiwanese listed electronic firms and tested using structural equation modeling to verify the fit of the hypothetical model.

The result demonstrates that supplier investment in specific assets for buyers positively impacts buyer's perceived relationship quality, which in turn affects knowledge sharing between buyers and suppliers and buyer product development performance. However, asset specificity does not directly affect knowledge sharing.

This study illuminates the contribution of asset specificity to knowledge sharing and product development performance, by clarifying the mediation effects resulting from relationship quality and knowledge sharing.

Purpose – This research aims to understand inter-subsidiary innovation transfers from a subsidiary business network perspective. We examine transfer performance with particular interest in the influence of subsidiary business networks in innovation development stage. The moderating effect of knowledge inputs, that is, external and internal business partners, on transfer efficiency and effectiveness are hypothesized.

Methodology/approach – This study utilizes the data of 129 inter-subsidiary transfer projects from 19 multinational corporations. The empirical analysis specifically examines how and to what extent the development partnership – source of knowledge inputs – affects the efficiency and effectiveness of innovation transfer between subsidiaries.

Findings – The results indicate that the source of knowledge inputs influence transfer performance indirectly, but not directly. The impact is made through the dyadic relationship to the transfer performance. The findings complement the literature on innovation/knowledge transfer by incorporating innovation development into scrutiny and gauging transfer efficiency and effectiveness explicitly.

Value of paper – The empirical evidence highlights the significance of dyadic willingness to both transfer efficiency and effectiveness. Its influence to transfer performance exceeds that of dyadic similarity or previous collaboration experience. The result provides useful managerial implications to MNCs headquarters and subsidiaries. The lack of previous collaboration experience or technical similarity may pose the down side for innovation transfer between subsidiaries. But that should not put off the initiatives to conduct innovation transfers. Such problem could be effectively remedied by strong willingness between the dyad. The resources and support that subsidiaries receive could counteract the hurdle of dissimilarity and unfamiliarity.

Customer firms and suppliers are valuable knowledge resources that can be used for achieving superior new service development (NSD) performance. This study aims to investigate how supply chain relationship quality (SCRQ) and knowledge sharing promote the success of NSD, and examines service modularity as an important contingency factor that enhances NSD performance in supply chains.

Based on service-dominant logic, this study builds a conceptual model to empirically explore the impacts of SCRQ and knowledge sharing on NSD performance, and highlights the moderating effect of service modularity by means of survey methodology of 295 Chinese service firms to test the research hypotheses.

Regression analysis results show that SCRQ has significant positive effects on knowledge sharing and NSD performance; knowledge sharing plays a partial intermediary role between SCRQ and NSD performance; and service modularity partially moderates the relationships between SCRQ, knowledge sharing and NSD performance.

Generalizations here are limited to Chinese service firms. Service modularity in manufacturing firms experimenting with servitization has yet to be examined and provides a good avenue for future research.

This study contributes to service management literature by providing empirical understanding of how service modularity affects NSD performance in multiprovider contexts. Furthermore, this study offers novel insights on the impacts of inter-firm relationship quality and knowledge sharing in modular collaborative innovation.

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.

A firm's inventions provide technical information for product planning and technical support for new product development (NPD). In the knowledge-based theory, inventing is regarded as a process of knowledge combination. This paper aims to classify the firm's inventive capabilities based on the combinatorial view and investigate the effects of inventive capabilities on NPD performance.

Four types of inventive capabilities are identified concerned with the knowledge used to combine in the inventive activities. By utilizing a dataset of 572 firms from China's automotive manufacturing industry, the roles of different inventive activities in the generation of new inventions are compared. Then the effects of different inventive capabilities on NPD performance are empirically examined by using negative binomial regression analysis.

The time series for the number of patented inventions derived from different types of combinations generally exhibits a steady upward trend, and the number of patents derived from recombination is much higher. The empirical results demonstrate that the inventive capabilities associated with reused recombination and creative recombination exhibit positive effects on NPD performance, and the inventive capabilities associated with novel combination and original combination exhibit non-linear effects on NPD performance.

The findings contribute to NPD literature by investigating the effects of different inventive capabilities on NPD performance. This study also provides guidelines for manufacturing managers to improve NPD performance by building appropriate inventive capabilities.

This paper argues that current research into knowledge management fails to recognize and offer a detailed understanding about the role of knowledge in improving firm performance. Instead of focusing, exclusively, on the nature and attributes of knowledge, and the management of learning, research should also direct attention to the factors that enable knowledge to contribute to performance. To aid in this, this paper suggests that the concept of knowledge management is divided into three instances; development, utilization and capitalization, based on the assumption that knowledge is not always utilized, and that utilized knowledge does not always result in improved performance. The paper also identifies challenges and solutions in relation to each of the instances. Empirical findings are based on empirical study of three knowledge ventures within a European manufacturing MNC.

The purpose of this research was to model the impact of customer knowledge on the performance of organization with a focus on information technology industry. Furthermore, it is intended to analyze the effect of customer knowledge investment on the performance measures, by reviewing investment policies.

The relationship between customer knowledge and performance measures was specified using literature review and grounded theory method. The system dynamics approach was then applied to analyze the impact of the customer knowledge on the performance measures.

This study provided a dynamic model on the causal relationship between customer knowledge and organizational performance. The results showed that measures such as product development, financial performance, idea generation, technical knowledge and knowledge maturity were affected by the customer knowledge while the relationship with customer loyalty and the number of customers was not proven. Besides, it was found that to increase the impact of customer knowledge on organizational performance, knowledge maturity was essential, and investing on customer knowledge without investing on knowledge maturity would reduce the organizational performance. The results also showed that more knowledge investment would not necessarily increase financial strength of the organization.

Results of this study could be useful for strategy formulation and deployment especially for IT-based companies showing the importance of investment on customer knowledge on the one hand and the knowledge maturity in the organization on the other hand.

In this research, the impact of customer knowledge on both financial and nonfinancial performance measures was studied showing new findings on the dynamism of their relationships.

This research seeks to explore the transfer and sharing of knowledge in entrepreneurial product development (EPD).

The effects of organizational complexity and of the temporal locus of learning on knowledge sharing are closely examined through a qualitative case study of four projects in a mid‐size manufacturing firm.

Distinguishing between the prior and resulting shared knowledge, this paper uses case studies to establish the importance of learning‐before‐doing over learning‐by‐doing under conditions of entrepreneurial resource constraints.

This paper revisits and extends the Hoopes and Postrel knowledge integration framework to include the mediating effects of organizational complexity and timing of learning on EPD performance in technology‐based firms.

In order to better capture the impact of knowledge sharing on EPD, the paper also develops a method for measuring knowledge transfer directly in terms of three knowledge dimensions: depth, scope, and action.

The paper revisits and advances the conversation on knowledge sharing to highlight the importance of learning before doing in (entrepreneurial) firms facing resource constraints, where pure reliance on “on the job learning” may impede efficiencies and delay the absorption of knowledge for effective collaboration, integration and gains.