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I. INTRODUCTION This study attempts to extend and expand previous research conducted by the Department of Marketing at Strathclyde on the adoption and diffusion of industrial products.

Open innovation breadth (OIB) considers the diversity of external collaboration partners for innovation. The authors investigate the moderating effect of OIB on the relationship between industrial innovation activities (innovation inputs) and industrial innovation results (innovation outputs).

This study is based on secondary data from the Brazilian innovation survey, representing more than 30,000 innovative companies across 55 industrial sectors.

This study’s results show that OIB has different moderating effects regarding the several innovation input–output relationships. While OIB benefits some relationships, others are hampered by the diversity of collaboration partners.

Few studies have addressed OIB at the macro level. Using the perspective of transaction cost economics (TCE), the authors discuss the contributions and limitations of OIB at the industry level.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

This article sets out to answer two interrelated questions: is it advisable for developing countries to use public procurement efforts for development, and should more developing countries join the World Trade Organization (WTO) Government Procurement Agreement (GPA)? We survey key arguments for and against joining the GPA, and argue that government procurement should not be seen only as an indirect support measure for development, but also as a direct vehicle for promoting innovation and industries and, thus, growth and development. We also show that using public procurement for development assumes high levels of policy capacity, which most developing countries lack. In addition, we show how the GPA as well as other WTO agreements make it complicated for the developing countries to benefit from public procurement for innovation. The article suggests that the developing countries could apply a mix of direct and indirect (so-called soft) public-procurement-for-innovation measures. In order to do this, developing countries need to develop the policy capacity to take advantage of the complex and multi-layered industrial policy space still available under WTO rules.

The purpose of the paper is to examine the coevolutionary dynamics between multistage overseas mergers and acquisitions (M&A) integration and knowledge network reconfiguration and the impact of this coevolution on industrial technology innovation.

This paper builds a coevolution analysis framework in stages and constructs structural equation models for empirical tests using the Chinese technology-sourcing overseas M&A events that occurred from 2001 to 2012.

Overseas M&A integration and knowledge network reconfiguration are in a coevolutionary relationship, driving industrial technology innovation. The acquirer adopts initial integration degree that matches the resource relatedness between the acquiring and acquired parties, promoting initial industrial technology innovation through initial knowledge network reconfiguration. Initial knowledge network reconfiguration will feed back to the M&A integration decision in the mid-to-late stage through increasing knowledge similarity and narrowing network position difference. The higher the improvement of mid-to-late integration degree, the more it can drive mid-to-late industrial technology innovation through mid-to-late knowledge network reconfiguration.

Future research can accurately classify overseas M&A integration stages through case tracking and explore other network attributes.

Practical guidelines are provided for managers on how to implement a multistage overseas M&A integration strategy, optimize knowledge network reconfiguration and promote industrial technology innovation. Significant practical implications are presented, especially in academia, society and quality of life.

Different from the previous research considering M&A integration as a single-stage decision, this paper emphasizes the dynamics of the M&A integration process and explores the coevolution mechanism of multistage overseas M&A integration and knowledge network reconfiguration.

Researchers continue to seek understanding of industrialization as a state managed process. How to create and implement new industries based on advanced knowledge is on the policy agenda of many advanced nations. Measures that promote these developments include national capacity building in science and technology, the formation of technology transfer systems, and the establishment of industrial clusters. What these templates often overlook is an analysis of use. This chapter aims to increase the understanding of the processes that embed new solutions in structures from an industrial network perspective. The chapter describes an empirical study of high-technology industrialization in Taiwan that the researcher conducts to this end. The study shows that the Taiwanese industrial model is oversimplified and omits several important factors in the development of new industries. This study bases its findings on the notions that resource combination occurs in different time and space, the new always builds on existing resource structures, and the users are important as active participants in development processes.

Robots are widely used in industrial manufacturing and service industries around the world. However, most of the previous studies on industrial robots use data at the national or industry level in the context of developed countries. This study examines the impact of imported industrial robots on firm innovation at the firm level in China.

Drawing on a large dataset of more than three million records in China, including non-publicly traded small and medium firms, the authors adopt a difference-in-differences method to investigate the impact and channels of industrial robots on firm innovation.

The authors find that the application of industrial robots increases firm innovation. Two possible channels are identified through which robots promote innovation: alleviation of financial constraints and the improvement of human capital. Further analysis shows that the effect of robots on innovation is more pronounced for firms that are highly dependent on external financing, belong to high-tech industries, import high-end robots, have insufficient supply of skilled labor and private firms (non-SOEs). The authors also find that industrial robots increase the firms' innovation quality and the marginal contribution of innovation to firms' total factor productivity.

This study provides big data evidence of the unintended positive consequences of industrial robots on firm innovation. The results are helpful to clarify the controversy of industrial robots. It also has important implications for government industrial policy making, firm innovation and human resource management.

The purpose of this article is to examine, appraise and highlight the significance of promoting innovation in aid of industrial development.

A comprehensive range of published literature is critiqued first to understand why industrial development constitutes a major objective of a country's economic strategy and government policy. Then, through a theoretical review of industrial policy works, relevant issues (e.g. how efficient industrial development sustains economic growth) are highlighted for discussion. For instance, the importance of private sector‐led industrial development and the need to adopt a primary focus on innovation‐driven industrial policy.

By drawing lessons from the developed world, the article explains why industrial policy‐making must address the pursuit of innovation as a prime mover of economic development; and further outlines the role of government in innovation‐driven industrial policy. As a case study, evolutionary perspectives of Singapore's industrialisation process are elaborated to illustrate a government's role in industrial policy‐making.

Future research could provide better guidance to address new emergent challenges of industrial policy‐making.

The discussion on industrial policy issues raised in this article is expected to be of interest to policy makers, industry planners, academic researchers and business practitioners.

This article offers insights into effective industrial policy‐making for developing nations that may help to transform their economies.

This paper aims to investigate the relation between technological innovation modes and their impact on eco-efficiency of industrial enterprises in China.

This paper first constructs a model to evaluate and measure the eco-efficiency of industrial enterprises in China from 2006 to 2010. Second, this paper compares the role of technological innovation modes – specifically, domestic independent innovation, foreign technology import and domestic technology transfer – in improving eco-efficiency of industrial enterprises in the Eastern, Central and Western regions of China by logarithmic regression.

The study finds that domestic independent innovation has a positive significant influence in improving eco-efficiency of industrial enterprises in the Eastern region; domestic technology transfer has a positive significant role in the Central region; and foreign technology import and domestic technology transfer positively affect the Western region.

This paper is the first to identify the role of technological innovation modes in improving eco-efficiency. The findings can help enterprises in the three regions adopt the most effective technological innovation mode. In addition, the results provide valuable insights into policy development to improve China’s overall eco-efficiency and to balance economic and industrial development among the three regions.

Knowledge input development and innovation implementation are new features of industrial technology innovation. The purpose of this study is to find the process of coordination and ecological spiral in the ambidextrous innovation of industrial technology.

To design the model of industrial technology ambidextrous innovation based on knowledge ecology spiral, an input-output model of knowledge for ambidextrous innovation and a spiral model of knowledge ecology were constructed based on an improved Lotka-Volterra model. Then, the equilibriums in different knowledge inputs and the spiral evolution of knowledge ecology were analyzed. Finally, the ambidextrous coordination mechanism of the core organization was revealed.

By coordinating the knowledge inputs and the knowledge ecology spiral, enterprises extend the R&D investments in the innovation chain, which will facilitate the knowledge inputs of the exploitative and exploratory innovation. Implementing the ambidextrous coordination in the technology innovation chain and the knowledge ecology chain has the advantage of promoting knowledge inputs, mobility and ecological spiral. Meanwhile, it can achieve the “multi-source, integration and coordination” development of industrial technology innovation.

The two-element innovative knowledge input coordination model and the knowledge ecological spiral model based on the improved Lotka-Volterra model are constructed, which extends the modeling way of the traditional knowledge input-output profit model. It is expected to reduce the amount of knowledge input of a single member and provide theoretical reference for improving the efficiency of knowledge input by constructing the inter-dependent regenerative and inter-generative knowledge interaction.