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After three decades of reform and opening up, China’s economy has experienced huge changes. Against the background of economic globalization, foreign direct investment (FDI) plays an important role in China’s economy. China has become one of the world’s largest FDI inflow countries, which has had an important impact on its economic development. FDI has preferred the industrial sector, which also has serious environmental pollution. This study will consider vertical and horizontal FDI location choice theory and conduct theoretical analysis concerning the FDI location choice within the industrial sectors, as well as empirical analysis to test the distribution of FDI in pollution-intense industries. Furthermore, the “Catalog of Industries for Foreign Investment” is one of China’s important industrial policies to guide foreign investment. Since being implemented in 1995, it has made five adjustments. The analysis of the distribution of FDI in the polluting industries and the impact of the change process will provide advice instructive for the government to amend the catalog.

The chapter is devoted to considering the aspects of the COVID-19 pandemic influence on the global and Russian electronics industry. The work aims to examine the impact of the COVID-19 pandemic on the electronic industry in the world and Russia from various angles. As a result of the study, the main features of the global electronic industry are highlighted, including leadership of Western European countries, Japan and the United States in the segment of high price electronics; the leadership of the new industrial countries in a lower price segment; active development of microelectronics as an electronics industry segment and its colossal role in the economy of modern countries; the trend towards acquisitions of small companies by large corporations and other industry. Key problems of the Russian electronics are identified, including a small fraction of the global electronics dependence of Russian industry on imported electronic components, a huge backlog of electronic industry of Russia in comparison of world leaders and the newly industrialized countries, technological backwardness of many enterprises of electronic industry, the low level of qualification as a whole industry. The novelty of the research is highlighting the impact of the COVID-19 pandemic on the electronics industry. The study highlights both negative consequences (decline in production of many electronic enterprises, disruption of supply chains, insufficient financing of the industry) and positive aspects (active growth of the segment of household appliances and electronics), as well as an impetus to the development of new directions of world electronics (radio-photonics, optoelectronic and quantum technologies, artificial intelligence, laser technology).

Reducing construction waste generation and carbon emission in the construction industry is crucial for the “dual carbon” goal. Evaluating the efficiency of reducing construction waste generation and carbon emission in the construction industry at the regional level is an important evaluation basis for the sustainable development of the construction industry. It provides a basis for formulating construction waste and carbon reduction policies tailored to local conditions and comprehensively promote the sustainable development of the construction industry.

A three stage SBM-DEA model based on non-expected outputs is proposed by combining the SBM-DEA model with the SFA method. The proposed model is used to evaluate the efficiency of construction waste and carbon reduction in the construction industry in 30 regions of China from 2010 to 2020. Moreover, the study explores the impact of environmental variables such as urbanization level, proportion of construction industry employees, resident consumption level, and technological progress.

From 2010 to 2020, the efficiency of construction waste and carbon reduction in China’s construction industry has been increasing year by year. Provinces with higher efficiency of construction waste and carbon reduction in the construction industry are mainly concentrated in the eastern coastal areas, showing an overall pattern of “East>West>Northeast>Middle”. There is a clear correlation between the level of urbanization, the proportion of construction industry employees, residents’ consumption level, technological progress, labor input, machinery input, and capital investment. The construction waste and carbon emission efficiency of the construction industry in various provinces is greatly influenced by environmental factors.

The research results provide policy makers and business managers with effective policies for reducing construction waste generation and carbon emission in the construction industry, especially circular economy policies. To provide empirical support for further understanding the connotation of construction waste and carbon reduction in the construction industry, to create innovative models for construction waste and carbon reduction, and to promote the multiple benefits of construction waste and carbon reduction in the construction industry, and to provide empirical support for countries and enterprises with similar development backgrounds in China to formulate relevant policies and decision-making.

The construction industry is a high investment, high energy consumption, and high pollution industry. This study uses the three stage SBM-DEA model to explore the efficiency of construction waste and carbon reduction in the construction industry, providing a new perspective for the evaluation of sustainable development in the construction industry, enriching and improving the theory of sustainable development.

Autonomous and connected mobility technologies have led to a reconfiguration of the automotive industry value chain. This may involve an impact on the geography of the European automotive industry, especially for peripheral countries. The aim of the paper is to analyse the repositioning of a peripheral country (Portugal) in the core-periphery model of the automotive industry derived from this new technological context.

An eclectic theoretical framework, based on the global value chain (GVC) approach, the spatial division of labour and location theory, supports this research. Moreover, an original empirical study was developed. This study comprised a comparative analysis of two samples of firms based on the key variables related to country position. One sample comprised Portuguese traditional automotive firms and the other Portuguese firms linked to autonomous and connected mobility technologies.

The results highlight the upgrading of Portugal in the European core-periphery model of the automotive industry. This is due to the presence of domestic firms, especially multinationals, linked to autonomous and connected mobility technologies in the country. The decision power derived from their position on the first levels of supply and the added value of activities and technological innovation of these new actors change the role of the country in the European automotive industry. The main implication is that managers of domestic firms and policy makers in peripheral countries can upgrade a country’s position in the European core-periphery model by shifting its competitiveness toward knowledge-based activities linked to the new mobility technologies.

This research is supported by a novel eclectic theoretical framework based on the global value chain (GVC) approach, the spatial division of labour and location theory. Moreover, country position is analysed through empirical evidence. An original comparative empirical study based on the key variables defined under this theoretical framework was developed.

In the context of an absence of studies examining the interrelationship between Indian construction industry and residential real estate sector, the study aims to develop and test a conceptual framework to stimulate construction industry through optimisation of housing market in India. The developed conceptual framework lays down a blueprint to assess the interaction between construction industry and housing market in other countries.

Means of stimulation of construction industry by residential real estate sector were identified. Housing market was examined to identify factors constituting consumer-centric delivery and consumer-empowered demand. Supply side of housing market was probed to identify underlying factors stifling housing delivery. The identified factors were put together to form the conceptual framework. A questionnaire was developed and administered to the delivery-side stakeholders of housing market.

The study demonstrates significant correlations between real estate investment-led construction industry output stimulation and consumer-centric residential real estate delivery. The deterrents to consumer-centric housing delivery have been ascertained to be having an impact on time, cost and scope of housing projects. Significant correlations have been ascertained between the deterrents. On the demand-side, skills, awareness and engagement of consumers are strongly correlated with each other. Affordability of housing is rightfully correlated with all the three means of stimulation of construction industry output.

Specific to the Indian context, the study presents and validates a novel conceptual framework aimed at stimulation of construction industry output through interventions in housing market.

This research is intended to assess the nickel smelter industry’s investment competitiveness in Indonesia and identify ways to improve its competitive advantage for the nation.

This research uses a sequential mixed-methods approach, expanding on a first qualitative phase with a second quantitative phase. Interviews are used in the qualitative phase to identify the underlying causes of issues and potential solutions to increase the competitiveness of the nickel smelter industry, while a system dynamics (SD) model is used to conduct the quantitative phase. This study uses the idea of a country’s competitive advantage from Porter’s diamond model (PDM). The model was tested and validated using SD simulation resulting in a new policy scenario, which was evaluated in metallurgy expert conferences and high policymaker discussion forums.

The results reveal the complexity of the nickel smelter industry in Indonesia and conclude that the integrated export duty beneficence policy is the most effective way to boost competitiveness. This policy gives a significant improvement both in the number of smelters and state revenue compared to the current policy. The industry’s investment competitiveness is enhanced by the six factors of the diamond model, with the first three factors being integrated strategy, limited export of excess production and export duty beneficence, while the remaining factors are metal price fluctuation, domestic demand and mineral supply which are related to mining conditions uncertainty.

The research creates a SD model to support Indonesia’s competitive advantage in the smelter industry. Despite limitations like interpretations and distorted semantic analysis, it provides a useful framework for exploring complex industry themes, excluding social factors due to limited data and knowledge requirements.

The findings of this research offer a framework for policymaking by the government to enhance the competitiveness of investments in Indonesia’s nickel smelter industry.

This study delves into Indonesia’s nickel industry competitiveness using PDM. Using a more detailed SD model with quantitative analysis, it goes beyond strategy development to provide a comprehensive approach to the nickel smelter industry.

The purpose of this study is to examine the impact of the characteristics and competencies of entrepreneurs on business performance within the creative industry in Indonesia. By creative industry, is refer to market-oriented enterprises that use creativity and intellectual capital to create, produce, distribute and disseminate creative goods and services through media channels.

This study measured six entrepreneurial characteristics: creative and innovative, risk-taking, need for achievement, leadership, autonomy and proactiveness. In addition, it measured five entrepreneurial competencies: opportunity, strategy, relationship, organization and learning. Data collection was conducted using a questionnaire administered to 294 entrepreneurs operating businesses within the creative industry in Java, Sumatra and Kalimantan, Indonesia.

The findings of this study demonstrated that entrepreneurial characteristics and competencies had a significantly positive effect on business performance. Creativity and innovation emerged as the most influential characteristics, whereas strategy stood out as the most influential competency.

This study aimed to examine whether the personal qualities of entrepreneurs as identified within conventional industries − specifically their entrepreneurial characteristics and competencies − had an impact on business performance in the creative industry in Indonesia. Conventional industries, unlike creative industries, are characterized by the production and distribution of physical goods or basic services, with less emphasis on creative innovation as the core driver.

This study offers practical insights into how generative artificial intelligence (AI) can enhance responsible manufacturing within the context of Industry 5.0. It explores how manufacturers can strategically maximize the potential benefits of generative AI through a synergistic approach.

The study developed a strategic roadmap by employing a mixed qualitative-quantitative research method involving case studies, interviews and interpretive structural modeling (ISM). This roadmap visualizes and elucidates the mechanisms through which generative AI can contribute to advancing the sustainability goals of Industry 5.0.

Generative AI has demonstrated the capability to promote various sustainability objectives within Industry 5.0 through ten distinct functions. These multifaceted functions address multiple facets of manufacturing, ranging from providing data-driven production insights to enhancing the resilience of manufacturing operations.

While each identified generative AI function independently contributes to responsible manufacturing under Industry 5.0, leveraging them individually is a viable strategy. However, they synergistically enhance each other when systematically employed in a specific order. Manufacturers are advised to strategically leverage these functions, drawing on their complementarities to maximize their benefits.

This study pioneers by providing early practical insights into how generative AI enhances the sustainability performance of manufacturers within the Industry 5.0 framework. The proposed strategic roadmap suggests prioritization orders, guiding manufacturers in decision-making processes regarding where and for what purpose to integrate generative AI.

Effective knowledge management has played a crucial role in propelling the green transformation of organisations and industries. Nevertheless, its underutilisation in the real estate sector has impeded the progress of green transformation. Therefore, the purpose of this paper is to offer a theoretical and practical analysis of the green transformation of the real estate industry through the lens of knowledge management and to provide a valuable reference to facilitate the industry’s green transformation.

This study entailed applying induction and deduction method, using China’s real estate industry as a typical case, and collecting and analysing the public data, corporate reports and literature of China’s real estate industry. On this basis, the authors conducted an in-depth analysis of the mechanisms through which the green transformation has empowered the sustainable development of China’s real estate industry, as well as the critical role of knowledge management.

The study has revealed that the primary challenges encountered by China’s real estate industry during the green transformation have stemmed from significant disparities in the knowledge base among different industry entities, the complexities related to knowledge integration and the “difficulty” of applying green knowledge across the entire life cycle. To address these issues, the authors recommend several strategic actions, including creating a dedicated green knowledge platform for the real estate industry, establishing a knowledge-sharing mechanism, enhancing knowledge acquisition on both the supply and demand sides and intensifying the focus on the application of green knowledge within the real estate industry.

This research holds considerable theoretical and practical significance concerning the comprehension and promotion of knowledge management’s role in the green transformation of China’s real estate industry. These insights can be applied to significantly enhance the theoretical framework of knowledge management, and the research outcomes provide substantial support for propelling the green transformation in China’s real estate industry and contributing to the sustainable development of the overall economy in China.

From a knowledge management perspective, this study introduces a series of solutions and recommendations, presenting new research ideas and pathways for advancing the green transformation of the real estate industry. In addition to guiding the industry’s sustainable development, it also significantly contributes to enhancing the theoretical framework of knowledge management.

The Sustainable Development Goals (SDGs) provide a blueprint for UN member states to achieve prosperity and peace. A resilient construction industry should positively contribute to the achievement of all SDGs. Yet it is currently unclear if the industry helps or hinders SDG achievement. This research aims to explore if the industry is positively engaging with all SDGs.

This research is split into two phases. The first is an objectivist Qualitative Content Analysis (QCA) of sustainability reports from the ten leading UK contractors to identify direct and indirect SDG references. The second research phase adopts a subjectivist ontological position consisting of twenty-one semi-structured interviews with a range of construction industry project-based professionals. Narrative analysis is used to structure the interview questions and analyse the data gained.

Many SDGs are excluded from sustainability reports, and where discussed, only some are engaged with substantially. The SDG knowledge held by construction professionals is reduced further still, and SDG progress is rarely measured. The ambiguity surrounding the SDGs enables discrepancies between reporting and professional perceptions. There is also a lack of regard for fellow contractor collaboration through fear of reduced competitive advantage.

This paper addresses a gap in the literature between contractor SDG knowledge and action. This serves as a platform for future research agendas regarding how the SDGs can be better understood and actioned in a construction management context. For industry, inconsistencies between organisational sustainability reporting and the knowledge and awareness of staff are exposed, due to the lack of collaborative practices currently adopted.