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With the advance of the Silk Road Initiative proposed by China, it has been a focus of China government to develop strategic emerging industries. The development of strategic emerging industries needs the support of competitive intelligence on many aspects such as strategical planning, policy making, industrial structure adjustment, and technology innovation. However, so far there are few studies toward the competitive intelligence systems for strategic emerging industries. In this article, we focus on a number of issues related to the competitive intelligence for strategic emerging industries in China. First, we conduct a strengths, weaknesses, opportunities, and threats analysis on the situations of strategic emerging industries in China, based on which the necessity of building a competitive intelligence (CI) service system for strategic emerging industries is discussed. Next, the authors present a framework of a CI service system for strategic emerging industries in China. The principles, components, working process, and product forms are deeply described. The CI service system proposed in this article consists of a cooperation network platform, three layered organizations, and three systems, which integrates organizations, information, people, network, and service platforms into an ecosystem to offer competitive intelligence supports for government, industry, and enterprises. Finally, the authors discuss a case study of the proposed CI service system for the new energy automobile industry.

A recent stream of research in strategy has demonstrated the effect of boundary of the firm decisions on firm performance by integrating concepts and methods from organizational ecology with predictions from transaction cost economics (e.g. Silverman et al., 1997; Bigelow, 1999; Nickerson & Silverman, 2003; Argyres & Bigelow, 2005). This work has confirmed that managing organizational boundary choices (or governance structures) efficiently has ramifications for firms’ survival chances. But further questions delineating the conditions under which governance structure alignment has a greater or lesser effect on firm survival remain. In this paper, we consider how selection pressures may differ according to a firm's adoption of either a mature or an evolving technology. Using ecological insights regarding competitive intensity and sub-population density, we test for the evidence of the role of sub-population organizational (governance) structure within a technology class. We present preliminary results using an 18-year panel of the population of U.S. automobile manufacturers from 1916 to 1934.

The primary preliminary findings: Within a population, individual misalignment diminishes survival. However, the aggregate governance structure of firms within a technology sub-population has a greater effect on the survival of a focal firm than the governance choice of the individual firm. These findings suggest that governance choices in aggregate within technologically localized sub-populations may influence firm survival. Further, this paper adds to a body of work that utilizes ecological concepts to extend organizational theory.

Industry 4.0 has been identified as a key cornerstone to modernise economies where man and machines complement each other seamlessly to achieve synergies in decision-making and productivity for contributing to SDG 8: Decent Work and Economic Growth and SDG 9: Industry, Innovation and Infrastructure. The integration of Industry 4.0 remains a challenge for the developing world, depending on their current status in the industrial revolution journey from its predecessors 1.0, 2.0 and 3.0. This chapter reviews reported findings in literature to highlight how robotics and automated systems can pave the way to implementing and applying the principles of Industry 4.0 for developing countries like Mauritius, where data collection, processing and analysis for decision-making and prediction are key components to be integrated or designed into industrial processes centred heavily on the use of artificial intelligence (AI) and machine learning techniques. Robotics has not yet found its way into the various industrial sectors in Mauritius, although it has been an important driver for Industry 4.0 across the world. The inherent barriers and transformations needed as well as the potential application scenarios are discussed.

We discuss the ways in which the tensions between deregulation and bailouts create fundamentally inefficient markets. Although there is an appetite for the rhetoric of a laissez-fair economic system in the United States, we do not have the political will to operate such a system, as there are always cries for bailouts when a crisis emerges. And bailouts rob markets of the crucial ability to discipline capital for risky behavior. Using the case of China as an example, we argue that the post-Cold War conclusion that state ownership is fundamentally inefficient is premature. The key issue is not state versus private ownership per se but, rather, how well aligned the incentives are within a given system. Some of the economic models we find in reform-era China are actually better aligned and perhaps as transparent as their counterparts in the market economies of the capitalist West. Finally, because China is not caught up on the categorical assumption that private firms are efficient while state-owned firms are inefficient, the country has been able to be an institutional innovator in the area of public–private partnerships, leading to radical new corporate forms.

This chapter investigates the relevance of sustainability accounting practice (SAP) in the actualisation of the United Nations (UN) sustainable development goals (SDGs) 2030. Whilst the SDGs appear general, broad and far-reaching, the sustainable development agenda (SDA) impliedly places responsibilities on member nations to evolve strategies that will ensure the achievement of the SDGs in their respective countries in accordance with national circumstances and peculiar challenges. This brings to bear the need to consider measures to translate the SDGs to realities, especially in developing countries. We use a structured questionnaire to collect data on the application of SAP from publicly listed manufacturing companies in Nigeria. Secondary data on economic performance were obtained from the annual reports of companies for 5 years (2014–2018). Structural Equation Modelling and Mann-Whitney test were applied to analyse data. Result suggests that whilst the implementation level of SAP by companies is generally moderate, internalities/‘pull factors’ such as market orientation and deliberate strategy formulation significantly determine the sophistication level of SAP. The insignificant effect of the externalities/‘push factors’ (i.e. environmental uncertainty, structure of ownership and control, and intensity of competition) on SAP suggests that external pressure on companies to implement sustainability initiatives is weak. We also find that extensive usage of SAP can sustain economic performance in the long run. The chapter provides empirical evidence that manufacturing companies extensively implementing SATs can sustain economic performance and would likely have enough economic resources to implement some initiatives that are fundamental to the actualisation of the SDGs 2030. The chapter contributes to the sparse literature on sustainability practice in developing countries, and incrementally adds to knowledge on the factors driving SAP in a jurisdiction characterised by lax regulatory framework and weak institutional apparatus on sustainability. As evident in our findings, SAP engenders sustainable economic performance.

Purpose: The purpose of the chapter is to highlight the game-changing potential of emerging technologies and how these will change the very face of companies cutting across industries. Our work also aims to highlight the converging point of these technologies and describes how these new-age inventions can be more effective if stakeholders adopt a collaborative approach rather than competing against each other.

Design/Methodology/Approach: Using real-world case studies, the chapter identifies the most significant emerging technologies heralding a new era of efficiency across business categories. This identification has been made based on both secondary data and expert interviews. The opinions of the domain and industry experts have also been included to select six emerging technologies for the analysis.

Findings: Based on secondary and primary data, the chapter has identified the five emerging technologies that are expected to change how businesses are run completely today. The technologies are: (1) Metaverse Platforms, (2) Blockchain Technology, (3) Non-fungible Tokens (NFTs), (4) Decentralised Finance, and (5) Cryptocurrency.

Research Limitations/Implications: By identifying emerging technologies and their application domains, the chapter contributes significantly to both the world of academia and practice. The research has important implications for scholars and practitioners as these stakeholders must prepare themselves to realise the maximum potential of these new-age inventions. Policymakers also need to contribute constructively so that the adoption and implementation of these technologies can be done smoothly and seamlessly.

Originality/Value: The research is unique in the sense that it identifies the most-significant emerging technologies and offers a constructive roadmap for stakeholders to integrate these new inventions into their functional procedures and operational mechanisms effectively and efficiently.

This chapter focuses on how corporate entrepreneurs seize opportunities and deal with threats through resource acquisition, control, and use. When corporate entrepreneurs fail to gain control of preferred resources they must rely on their ability to optimize their use of resources on hand in order to avoid the typical limitations inherent in a constrained set of resources. However, control of resources, whether existing or supplementary, by itself is an insufficient basis for influencing performance. Performance also depends on an organization’s capacity to deploy resources in combination with strategically important organizational processes to affect a desired end. The way in which corporate entrepreneurs utilize their resources is likely to have a more significant effect on performance than is merely having control of them. The current research aims to elaborate on how corporate entrepreneurs can become more resourceful by using a vacillation approach to resource acquisition and utilization. In this context, vacillation is movement between exploration and exploitation, or knowledge acquisition and knowledge integration from a knowledge management perspective. Vacillation is distinguished from the “balance” hypothesis prevalent in the organizational ambidexterity literature. A balance hypothesis states that both exploration and exploitation may be pursued simultaneously either by creating structural or contextual organizational ambidexterity. Here, we explain how vacillation enables an organization’s corporate entrepreneurship posture to lead to improved performance. In this chapter, we first describe the extant literature and construct relationships between corporate entrepreneurship posture, organizational resource level, vacillation, and organizational performance. We then analyze the learning processes associated with vacillation and discuss the research and managerial implications associated with the proposed relationships.

This chapter explains how electric driving has been transforming car mobility in The Netherlands since 1990, highlighting the role of a specific Dutch policy mix as direct factor, and the conditions through which this policy mix came about as indirect factors. The analysis is based on triangulation of findings from three methods: (1) discourse analysis of national newspapers and online blogs to understand the changing meanings of car mobility as well as changing stakeholder competences; (2) interview analysis with Dutch stakeholders to understand policy effects as well as their changing competences; and (3) analysis of relevant documents that provide the numbers of vehicles sold, implemented infrastructures and policy instruments. The study describes market changes in terms of ‘reconfiguring’ (entangled) practices of Dutch motorists, vehicle manufacturers and policy-makers, constituted by the (changing) relations between meanings, materialities, competences and policy incentives. The analysis finds a gradual reconfiguration of car mobility in three stages: The hegemony of Internal Combustion Engine (ICE) mobility (1990–2008), Surge in Plug-in Hybrid Electric Vehicle (HEV) mobility (2009–2015), and Surge in full-electric mobility (2016–2020). The analysis shows that the specific Dutch policy incentives were critical to orchestrating the co-evolution of ICE-based and electric mobility towards low-carbon alternatives, that is, towards more electrification. The policy mix was adapted in three successive steps, in which inconsistencies towards electric mobility (e-mobility) were solved, entailing three distinct reconfiguration pathways in each period. The relatively strong policy incentives for e-mobility in The Netherlands can be explained by the absence of an established car industry as well as particular air quality challenges in cities (triggering local support for the provision of charging infrastructure). The conclusion includes policy recommendations for countries that seek to promote e-mobility, although further research should clarify how contextual differences require specific elements in the policy mix.