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This study aims to examine the trend of industrial competition between the US and China, which is the most crucial determinant in the future development of the global economy. For decades, the global economy has strengthened the global production network based on the division of labor between countries. Thus, the ripple effect of competition between the two countries should be analyzed in terms of the global production network. Therefore, this study uses the product space model, which explains the development process of industries with comparative advantage by country. We constructed the model based on the products of HS 4-digit code for the 2010–2019 period. The analysis results on the trend of the industrial competitiveness of major countries are as follows. First, the current industrial competitiveness of China is concentrated on low-tech industries. In the case of high-tech items, China shows a tendency of lower export sophistication compared to major manufacturing powerhouses such as Germany, the US, Japan, and Korea. Second, with respect to the possibility of a future industrial structure upgrade evaluated by density, the trend of China overtaking other manufacturing powerhouses is observed. As implied by the product space model, the advancement of the industrial structure through active participation in international trade enhances the industrial competitiveness. Therefore, the outcome of US-China industrial competition depends on who ensures more openness and industrial complexity.

The impact of competition on innovation has been extensively studied, but with ambiguous findings. We study the impact of import competition on U.S. corporate innovation and present some new perspectives. We conjecture that U.S. firms view import competition from high-wage countries (HWCs) as “neck-and-neck” competition and will respond by intensifying innovation. In contrast, U.S. firms will reduce innovation in response to import competition from low-wage countries (LWCs), because such competition does not always increase the potential benefits from innovation. Our empirical results are supportive. We find that, when confronting HWC import competition, U.S. firms increase R&D spending while intensifying and improving innovation output (file more patents, receive more citations to their patents, and produce more breakthrough patents). Moreover, U.S. firms closest to the technological frontier – largest firms, firms with the largest stocks of knowledge, and most profitable firms – increase and improve their innovation the most in response to HWC competition. These results shed light on the relationship between product market competition and innovation, and point to the origin of import competition as a determinant of innovation decisions made by different U.S. companies.

This study aims to investigated the control mechanisms of headquarters exercised over their subsidiaries and is conducted with the help of primary data.

The headquarters–subsidiary model used in this study has four components of control in it: personal centralised control (PCC), bureaucratic formalised control (BFC), output control (OUT) and informal control (INFO). These controls (as an agency mechanism) provide a solid platform on which other mechanisms can be built. Using a data collected from 147 multinational enterprises (MNEs) operating in the Kingdom of Saudi Arabia, the influence of each of these factors on this selection is empirically tested with the help of primary data.

The study found that Anglo-Saxon countries heavily use impersonal types of control mechanisms, specifically bureaucratic formalised control and output control. Compared to the USA, the level of control in Oriental subsidiaries is less; or, put differently, the latter enjoy a greater degree of autonomy than US subsidiaries. The complementarities of these control mechanisms may be linked to earlier studies that show that successful organisations combine tight control with more open, informal and flexible information and communication exchanges. A focus that bends too much towards formal control or too much towards informal control may threaten a company’s existence. This research provides an empirical explanation on this premise.

The methodology adopted for this study can be extended for similar studies in the Middle East or in Gulf Council Cooperation countries.

The study show that MNEs from different countries often have different dominant control mechanisms and organisational models. This is partly due to different industry distributions, but it is also related to cultural/societal differences between countries. These differences should be considered when searching for a partner in cross-national mergers and acquisitions. Failure to do so could hinder the successful operation of a merger that seems to be perfect from a financial and competitive point of view.

The study explored variations in the extent of control mechanisms, according to country of origin and organisational characteristics, in a challenging country of domicile. This empirical work not only replicates earlier studies, retesting propositions encountered in the existing literature, but also sheds new light on the challenges of doing business in the Gulf region, and the consequences of the large scale usage of expatriates.

The purpose of this paper is to review the empirical literature on the relationship between the characteristics of the top management teams (TMTs) and the performance of entrepreneurial firms.

A literature review was carried out on 33 empirical studies related to TMTs and performance through analyzing and summarizing the quantitative studies conducted in this area.

The results of the literature review show that the relationship between TMTs (demographics and heterogeneity) and the performance of entrepreneurial firms is not straightforward and further investigation is still needed in this area.

The author maps the theoretical and empirical research of TMT demographics and heterogeneity in relation to firms’ performance and possible moderators and mediators, which govern the relationship between TMT composition and firms’ performance.

The author presents a detailed future research agenda for the purpose of advancing the theoretical and empirical knowledge on TMT-performance links. The review provides a comprehensive picture of TMT-firms’ performance literature and what should be done to enrich the literature.

This paper empirically explored the influence of external and internal factors on technological and non-technological innovation of 5747 Indian firms. The study also explored novel insights about manufacturing firms by segregating them into high-technology and low-technology industries.

The study employed hierarchical regression analysis to analyse a cross-sectional dataset gathered from the World Bank enterprise survey. The firms are segregated into high-technology and low-technology industries based on the technology-intensity classification of the manufacturing industry given by the Organisation for Economic Co-operation and Development.

The main results highlight that technological and non-technological innovation was primarily driven by internal resources and capabilities rather than external factors. The authors found the highest effect of research and development spending on both forms of innovation. In both high-tech and low-tech industries, technology transfer is positively associated with technological innovation and negatively associated with non-technological innovation. Furthermore, external business support has substantially influenced non-technological innovation in low-tech industries.

This study used two-step hierarchical regression to explore the influence of external and internal factors on technological and non-technological innovation separately. Exploring determinants of innovation in high-technology and low-technology industries also brings the distinct prerequisites of enhancing innovation to the attention of policymakers and industry experts.

Though certain characteristics of micro-firms affect the likelihood of their participation in external relationships, how cooperation in craft enterprises differs from low and high-tech enterprises has not been investigated yet. Therefore, this study aims to fill the above gap in the literature.

This study adopts a descriptive approach by extensively reviewing relevant literature to explore the unique characteristics and nature of micro-firm's co-operative behavior. The theoretical approach of this research is grounded in resource-based view and dynamic capabilities theories.

This study finds that handicraft micro-firms possess special and unique characteristics that differentiate them from low- and high-tech firms. Further, handicraft micro-firms' co-operative behavior also differs from other firms in terms of cooperation motives, breadth, depth and factors that inhibit or promote cooperation. Additionally, in small handicraft firms, the co-operation is more informal, personal and through social networks, whereas in the corporate sector, it is more formal, direct and through supply chains. This study also argues that contrary to handicraft and low-tech firms, high-tech firms are more likely to cooperate with external partners and invest heavily in R&D for new product development (often radical in nature).

This study enriches our understanding of handicraft micro-firms' special and unique characteristics that differentiate them from low- and high-tech micro-firms. This research also provides in-depth knowledge to understand the handicraft micro-firms’ co-operative behavior and how it differs from low- and high-tech firms.

Efficiency and productivity has always being a key issue in economic science. The analysis of the impact of research and development (R&D) has been extensively studied in industries and countries of more or less aggregated level. This chapter aims to investigate the impact of corporate R&D in performance of low-tech industries, medium-tech, and high-tech in OECD countries.

This chapter aims to answer the questions: Is the impact of R&D significant for all types of industries? If so, what are the differences and the magnitude of these effects in each of these types of industries?

To this end, an unbalanced data set from 2000 to 2011 was collected for the main countries of Europe and the United States concerning low-, medium-, and high-tech to analyze the impact of the magnitude of corporate R&D and capital accumulation on productivity of these industries. The productivity of industries was measured by stochastic parametric frontier functions, in order to measure the efficiency of R&D and accumulation of capital on labor productivity.

The main results highlight the impact of corporate R&D on productivity of high-tech industries, but for other industries those relations are not clear. However, capital accumulation became crucial on low technology to improve their performance. These results, although needing to include a more extensive data set of industries across countries, refer the need for policy and decision makers to allocate public funds for R&D in high-tech industries, while the investment in capital seems crucial, particularly in low-tech industries to improve the productivity.

This paper aims to examine the different impacts of six variables on firm technological innovation performance in different high-tech industries in China. Through a comparative analysis of data about growth enterprises market board (GEM)-listed companies, this study attempts to get some conclusions, to help firms in different high-tech industries use resources more rationally and to improve technological innovation performance more effectively.

This paper constructs semi-parametric models based on the relevant data of GEM-listed companies during 2010 to 2015 for different high-tech industries. These models can ensure that the influencing factors of firm technological innovation performance are no longer restricted to a particular aspect but can provide a comprehensive comparative analysis of the effects of factors on firm technological innovation performance in different high-tech industries.

The empirical results show that R&D expenditures have a significant positive impact on firm technological innovation performance in most high-tech industries, but not in electronic and communication equipment manufacturing industry; R&D personnel investment and government subsidies have significant positive impacts on firm technological innovation performance in knowledge-oriented industries; technology diversity has a significant positive impact on firm technological innovation performance in technology-oriented industries; the proportion of exports shows an inverted U-shaped relationship with firm technological innovation performance in electronic and communication equipment manufacturing industry, while firm size shows an inverted U-shaped relationship with firm technological innovation performance in general equipment manufacturing industry; and the effect of semi-parametric model fit is superior to the general parameters model.

Drawing on the resource dependence perspective, this paper is the first to consider a comprehensive treatment of differential effects of internal resources (R&D personnel, R&D expenditure), external resources (government subsides) and firm characteristics (firm size, export ratio) on firm technological innovation performance in different high-tech industries in an emerging country, in particular in contrast to previous studies that have focused on a single industry or taken the type of industry as a control variable. In addition, most studies about the determinants of firm innovation performance are based on survey questionnaires, which may introduce large subjective errors. Setting the relationship between variables in advance may also introduce fit error when using a general-parameter model. Semi-parametric regression which is used in this paper is able to prevent this shortcoming effectively. When constructing a regression model, this can be exempted from the formal constraints, thus estimating data more accurately and ensuring superior fit.

Looks at the 2000 Employment Research Unit Annual Conference held at the University of Cardiff in Wales on 6/7 September 2000. Spotlights the 76 or so presentations within and shows that these are in many, differing, areas across management research from: retail finance; precarious jobs and decisions; methodological lessons from feminism; call centre experience and disability discrimination. These and all points east and west are covered and laid out in a simple, abstract style, including, where applicable, references, endnotes and bibliography in an easy‐to‐follow manner. Summarizes each paper and also gives conclusions where needed, in a comfortable modern format.

This study aims to explore the strategic impact of R&D and export activity on the diverse dimensions of US manufacturing firms’ performance. It also explores, using a predictive analytic model, the interactive synergistic effect that R&D and exports have on firm performance.

This study presents an innovative two-stage regression-neural network approach. Complementing conventional statistical analysis, the predictive backpropagation neural network explores the relative impact of R&D and exports and their synergistic effect on firm performance.

This study demonstrates the significant and positive effect of R&D and export strategy/activity on the economic performance of leading US manufacturing firms, particularly on their market-based performance (i.e. sustained growth rate or SGR). Furthermore, this study finds that the synergistic effect of R&D and exports on short-term performance (i.e. return on investment) is positive in high-tech firms but negative in low-tech firms. However, the synergistic effect on SGR is increasingly positive regardless of the level of technology.

In addition to traditional statistical analysis, this study uniquely investigates the relative importance of selected strategic variables, along with R&D and export activity and their differential synergistic effects, for firms’ economic performance in contrasting industry settings (high-tech vs low-tech).