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With the clarification of three effective methods (share holding, decision participation and promotion of technical grade) to govern R&D teams in software enterprises, the purpose of this paper is to provide an empirical investigation of the application of these methods in Chinese software enterprises.

The research is based on a quantitative approach with 34 items designed in the questionnaire to measure the indicators. All items were rated by respondents on a five‐point Likert‐type scale. In order to testify the validity of the three methods of R&D team governance, a correlation analysis and a linear regression were made to examine the relationship between these methods of R&D team governance and R&D performance.

The evidence shows that decision participation and promotion of technical grades are the two most effective methods to govern R&D teams in Chinese software enterprises, while share holding is not conducive to R&D performance. The share holding level of R&D staffs is fairly low; even “no share.” What is more important is that many software enterprises regard it as a welfare institution but not an incentive method. Therefore, the shareholding mechanism cannot enhance R&D performance. In addition, relevant regulations have not been established completely. There are many deficiencies in the process of intellectual property management of Chinese enterprises. These factors have hindered the effective performance of R&D staff.

The research findings emphasize the importance of governance of R&D teams in the Chinese software industry and highlight the critical issues that need to be addressed in order to enhance the performance of R&D staff.

The concept of R&D team governance is examined and elaborated within the context of China, which points to the need of developing new direction of R&D team management.

This paper summarises three empirical studies investigating staff attitudes towards client sexuality, with special consideration of issues surrounding HIV infection. A questionnaire survey design was employed, with 585 participants completing three separate questionnaires. Between 1990 and 1998 staff attitudes towards client sexuality became more positive, with a significant reduction in the number of staff agreeing with mandatory HIV testing over the three studies. In the final study, a significant number of staff Reported being unaware of, or uninfluenced by, organisational sexuality policy. The interaction between policy, staff beliefs and practice is discussed. When staff are aware of the policies on sexuality, their beliefs and attitudes appear to filter these policies, with staff behaviour influenced by an interaction between policies and beliefs. In conclusion, policy development needs to involve inter‐agency collaboration, as well as staff and client user input, for best practice in sexuality.

Gives an in depth view of the strategies pursued by the world’s leading chief executive officers in an attempt to provide guidance to new chief executives of today. Considers the marketing strategies employed, together with the organizational structures used and looks at the universal concepts that can be applied to any product. Uses anecdotal evidence to formulate a number of theories which can be used to compare your company with the best in the world. Presents initial survival strategies and then looks at ways companies can broaden their boundaries through manipulation and choice. Covers a huge variety of case studies and examples together with a substantial question and answer section.

This paper aims to examine the effect of innovation-driven polices on innovation efficiency of sport firms listed on the new Third Board in China.

Firm innovation efficiency, including comprehensive innovation efficiency, pure technical efficiency and scale innovation efficiency were calculated by using data envelopment analysis (DEA) models. The input variables and output variable in the DEA model were selected through correlation analysis. The effects of several innovation-driven policies on the innovation efficiency of sport firms were analyzed by a series of multiple regression analyses.

Regarding the innovation efficiency evaluation of sport firms, total research and development (R&D) investment and total R&D staff are two suitable input variables, and total profit, sales revenue and new effective patent are three suitable output variables. Income tax relief for high-tech enterprise has a positive effect on comprehensive innovation efficiency and pure technical efficiency, and governmental subsidies have a negative effect on comprehensive innovation efficiency and pure technical efficiency. However, pretax deduction of R&D expenses does not have a significant effect on comprehensive innovation efficiency, pure technical efficiency and scale innovation efficiency, and income tax relief for high-tech enterprise and pretax deduction of R&D expenses also have no effect on scale innovation efficiency. For a large-scale sport firm, the negative effect of “governmental subsidies” and the positive effect of “income tax relief for high-tech enterprise” on its pure technical efficiency are more significant. For a sport firm with more R&D staff, governmental subsides and “income tax relief for high-tech enterprise” have more positive effect on its innovation efficiency.

The study findings could potentially provide practical guidance to both managers and government-industry policymakers in the sports industry.

Firstly, this paper focused on Chinese sport firms from a rising industry in a developing country (China). The related conclusions are conducive to the governmental management of new industries and the innovation management of new enterprises. Second, this paper analyzed the effect of three special innovation-driven policies on three types of innovation efficiency and explored enterprise innovation development in more detail. Third, this paper not only discusses the effect of innovation-driven policies on innovation efficiency, but also the heterogeneity of their effects.

The purpose of this paper is to examine the relationship between knowledge acquisition, knowledge absorptive capacity, and innovation performance in small and medium enterprises (SMEs).

Questionnaire data were collected from research and development (R&D) managers or owners of 49 SMEs of the bicycle industry in Taiwan. The questionnaire was designed to measure variables including: knowledge absorptive capacity, knowledge acquisition of company, technical and industrial experiences of owner's and the R&D staff, innovation performance measures, and control variables.

The results show that the depth and the breadth of its owner's technical and industrial experiences best explained absorptive capacity of an SME. In turn, the absorptive capacity and the knowledge acquisition activities of an SME affect its innovation performance.

The findings show that, first, SME owners' technical and industrial experiences are contributing factors to their companies' knowledge absorptive capacity; second, instead of R&D investment, SME personnel's scientific knowledge collection and diversity of knowledge sources contribute to innovation performance of companies. Because the data were limited to bicycle industry, future studies need to validate these findings in the SMEs of other industries.

The value of the paper lies in the fact that SME owner's and its personnel's contributions to company's knowledge absorptive capacity and the concomitant effects of knowledge acquisition and knowledge absorption capacity on a firm's innovation performance are two issues seldom addressed in previous studies.

The core of any manufacturing company is formed by production, marketing and research and development (R&D). In the future production and R&D need to integrate their efforts to solve problems more quickly and to generate more effective plant designs. For production/R&D links the most important new technologies are the use of computers and their intercommunication. Computer Aided Design (CAD) and its extensions are probably the most important, but others such as expert systems and modelling will play a part. The key factor is the creation of common data bases holding as much relevant information as is practical. These will only be useful if production and R&D analyse purposes, methodologies and data storage and usage together.

This study aims at the sudden outbreak of COVID-19, which had an unprecedented negative impact on the Chinese economy, with firms being affected most. Firms differ in terms of their specific internal environment, shaping their ability to respond to the outbreak, so the impact may also vary.

In this paper Chinese listed firms are selected as samples to investigate the mediating effect of prior digital technology on the relationship between R&D (research and development) investment (funds and staff) and firm performance during the epidemic. Firm size and diversification are then introduced as moderating variables to explore the conditional mediating effect of digital technology.

The results indicate that the higher the firm's prior R&D investment, the higher its digital technology level, and thus the stronger its resistance to the epidemic. Moreover, compared with large-scale firms, small-scale firms have the advantage of strategic flexibility to technological changes, which can help them accumulate experience from R&D activities for digital transformation, thus attenuating the negative impact of the COVID-19 on firm performance. Finally, the results also show that digital technology mediates more strongly between R&D investment and firm performance in diversified firms than in centralized firms.

The study builds a mediation model to reveal the process mechanism through which R&D investment affects firm performance via digital technology. Firm size and diversification are then innovatively introduced as situational factors to build the moderated mediation model, which opens up a new perspective for understanding the effect of firm internal factors on the relationship between R&D investment, digital transformation and firm performance.

With the aim of building a research conscious workforce, the former Northern and Yorkshire Research and Development office explored the nature and purpose of research and development (R&D) support for NHS staff. Part of the study used a questionnaire to seek healthcare professionals’ R&D education and training needs. Some findings were unexpected, such as the significant differences between professional groups’ needs and preferences. Recommendations, therefore, include local, flexible R&D education and training programmes.

The aim of this study was to determine whether customer satisfaction can be used as a reliable measure of the performance of the management of a research and development (R&D) department. A study of a research and development department of an Australian manufacturing company was undertaken in 1995. R&D performance and external customer satisfaction were measured using seven dimensions of technical performance and seven dimensions of service quality. Expectations of external customer satisfaction were measured from the internal (staff of R&D department) and external customers’ (production, sales and administration) points of view. This was to highlight the gap between the staffs’ perceptions and the external customers’ perceptions of service provided. The study provides research and development managers with an additional tool for measuring their management performance.

The purpose of this paper is to construct a novel delay grey incidence analysis model to analyze drivers and obstacles of university R&D performance.

With respect to the fact that university R&D activities typically experience two stages of knowledge creation and technology transfer, and different drivers and obstacles come into play to affect the conversion of R&D investment to outcomes at each stage, based on the thought of grey incidence analysis and the specific characteristics of science and technology (sci-tech) development, a novel delay grey incidence analysis model is proposed in this paper, and then according to the yearbook statistical data, Chinese university R&D activities are investigated and the drivers and obstacles of university R&D performance are analyzed.

The results show that the R&D full-time staff and R&D funds of basic research are the key drivers of influencing factors, and the sci-tech innovation talents in universities’ R&D institutions and experiment development funds are the restraining factors to improve R&D performance in the stage of knowledge creation; the expenses of R&D achievement application and technology service and the full-time staff of achievement application and technology service are the key drivers and obstacles of influencing the aggregate amount of patent sale respectively.

This research helps policy makers to reflect on their university R&D policies and understand how to enhance the technology transfer rate in China.

The paper succeeds in identifying key drivers and obstacles of affecting university R&D performance in China by examining the input and output incidence at both the knowledge creation and technology transfer stages.