Global Companies Research Articles

Government Subsidies and Business Resilience of Chinese Electric Vehicle Enterprises: The Roles of ESG and Technological Capability

In the context of increasing global macroeconomic policy uncertainty, the effectiveness of Chinese government subsidies in promoting the business resilience of electric vehicle (EV) enterprises and the sustainable development of the EV industry has attracted significant attention. This paper utilizes panel data from Chinese listed EV companies from 2013 to 2022 to examine the impact of government subsidies on the business resilience of these enterprises. It also analyzes the moderating roles of corporate ESG (Environmental, Social, and Governance) performance and technological capability. This study finds that government subsidies significantly enhance business resilience, particularly for companies with a high ESG performance and a strong technological capability, which can better leverage these subsidies to further enhance their resilience amidst market fluctuations and uncertainties. Moreover, as an external support measure, government subsidies complement internal corporate factors like ESG performance and technological capability, promoting the sustainable development of the industry. Policymakers should consider corporate ESG performance and technological capability when designing subsidy programs to maximize their effectiveness.

CMMI & Lean-Based Metrics Governance Model to Ensure Data Accuracy & Consistency for Ai/Ml Applications for Sustainable Operations in Mining Industry

In today’s competitive business environment, even small improvements in productivity and efficiency can have a huge impact on company’s profitability. Whether it is through reduced lead time/waste, minimized downtime or improved quality, operation managers are looking for any advantage at every stage. Lean management is a long-term operational discipline that methodically seeks to enhance efficiency and quality by eliminating wastage. The concept is being used in varied industries and helped by improved productivity, safety & better management. Lean in being used by few mining companies also at a small scale, which has helped them in limited way. AI/ML is another important technology used by many organizations. Many global mining companies have also used it for improving operational efficiency, which have helped miners in a limited ways in improving the productivity and safety. Mining companies have to deal with tons of data set generated from heavy machinery and plants, which have to be stored, processed, and stored. There are many challenges in the data set generated/used by AI/ML-application for mining operations. One of the key challenges in AI/ML is accessibility and availability of accurate & consistent data. To ensure consistency of data there is a need for a governance structure which will guarantee the availability of required accurate data set for AI/ML system. One possible solution could be, CMMI’s metrics processes used by IT companies and have helped in improving quality. CMMI’s Metrics related processes are being used extensively by the organizations for better monitoring & control of key measures. This paper explores the possibility of usage of CMMI’s metrics practices with lean implementation in mining for ensuring availability of accurate data sets for AI/ML applications. The proposed framework will put a governance model in place to ensure accuracy & consistency of data to be used for AI/ML-applications in Mining.

Collective attention overload in a global manufacturing company: a case study

AbstractThe rapid evolution of information technology (IT) platforms has enabled the collection of vast volumes of data for decision support. These technologies have facilitated an increase in information sharing and collaboration, promising to accelerate problem-solving and foster innovation. However, despite the advancements in this sophisticated and evolving technological landscape, scholars have raised concerns that the collective attention of organizations may be compromised primarily due to the overwhelming volume of information that employees are exposed to daily. Given the limited nature of human attention, this excessive information can impair decision-making and restrict an organization’s capacity to achieve performance enhancements. To understand the IT impact on collective attention, we conducted a case study in a multinational organization in the engineering and electronics sector. Our participants described how an IT platform designed to encourage information sharing and collaboration affected collective mindfulness of opportunities for collaboration and innovation. Despite an innovation culture and careful implementation, the IT platform induced a level of information sharing and collaboration that overwhelmed collective attention, leading to employees failing to achieve the anticipated performance improvements. Our findings caution organizations about how emerging technologies may induce attention overload, undermine collective attention, and detract from collective mindfulness of business opportunities. Our research findings confront the prevalent assumption that an abundance of high-quality information invariably leads to enhanced organizational performance. The article concludes by proposing a research agenda aimed at defining guidelines for the adoption of collaborative IT platforms that prevent overloading collective attention.

Cross-functional integration between demand and supply processes: a case study about the role of digital technologies

PurposeThe objective of this article is to analyze the integration between the internal functions related to demand and supply processes. The studied object was an agribusiness company that uses digital technologies to operate its inbound logistics.Design/methodology/approachA case study was conducted in a global agribusiness company that went through a restructuring process with the implementation of a shared service center. In-depth interviews were conducted with employees from the demand and supply areas. The analysis involved description of cross-functional integration processes from the areas of demand and supply, the identification of technologies from Industry 4.0 present in the activities of those areas and their role in the integration process.FindingsThe analysis revealed the mediating role of technology in cross-functional integration, the presence of new integration factors and their impact on process performance. A framework was developed that describes the relationship between technology and integration factors, their impacts, and the implications for theory and practice.Practical implicationsRegarding this study, the focal company migrated its activities, which were previously isolated and dispersed across branches, to a centralized shared services unit. This research contributes by providing managers with elements to support their investment decisions in technologies that facilitate the integration process, mainly in the areas of planning and execution. It also contributes to the planning of processes, helping managers who are implementing or migrating activities and areas to new management structures.Originality/valueThis paper brings two new assumptions that may guide future investigations about cross-functional integration and its effects on demand and supply integration (DSI): (1) Digital technologies are able to support cross-functional integration in order to provide information integrity, team alignment, agile and assertive decision making within supply and demand processes; (2) Cross-functional integration, mediated by digital technologies, can generate agility and accuracy of information in the demand and supply processes. This accuracy and agility provide improvements in demand and supply process performance metrics, such as predictability, assertiveness, standardization, productivity and response time.

Using Websites to Become Global Players in International Education: Insights from a Chinese University

Despite the emerging scholarship on efforts of (semi)peripheral countries to take up internationalization of higher education (HE), little attention has been paid to how these universities market international education to prospective students on their websites. These websites are a multimodal space marketing internationalization that has been rarely investigated from a diachronic perspective. This study focuses on a Chinese university and uses a multimodal semiotic approach to unpack (dis)similarities of its present website from its other earlier websites to uncover how internationalization of HE has been integrated from a comparative point of view. The research also investigates how internationalization discourses, ideologies and practices are mobilized and disseminated through website design. It reveals that the university under scrutiny has kept utilizing the same salient modes in its layout, video, text, and image to communicate to potential students. The (dis)similarities were supported by an increase in branding and marketing, which shapes internationalization of HE in China and beyond. This paper ends by discussing the practical implications for countries seeking to claim greater competitiveness in international HE.

Credit Risk Prediction Using Machine Learning and Deep Learning: A Study on Credit Card Customers

The increasing population and emerging business opportunities have led to a rise in consumer spending. Consequently, global credit card companies, including banks and financial institutions, face the challenge of managing the associated credit risks. It is crucial for these institutions to accurately classify credit card customers as “good” or “bad” to minimize capital loss. This research investigates the approaches for predicting the default status of credit card customer via the application of various machine-learning models, including neural networks, logistic regression, AdaBoost, XGBoost, and LightGBM. Performance metrics such as accuracy, precision, recall, F1 score, ROC, and MCC for all these models are employed to compare the efficiency of the algorithms. The results indicate that XGBoost outperforms other models, achieving an accuracy of 99.4%. The outcomes from this study suggest that effective credit risk analysis would aid in informed lending decisions, and the application of machine-learning and deep-learning algorithms has significantly improved predictive accuracy in this domain.

Digital recognition: cybersecurity and internet infrastructure in UAE–Israel diplomacy

Abstract The 2020 Israel–UAE Abraham Accords normalized these states' relations, with heavy emphasis on digital technologies. International Relations theories of recognition, however, hardly consider the role digital technologies play in establishing recognition between states. What role, then, did digital technologies play in this landmark shift in UAE–Israel recognition? This article uses three aspects of digital technologies in the UAE–Israel case—cybersecurity cooperation, cloud computing, and subsea cables—to inductively develop three propositions regarding the role of digital technologies in state recognition. First, states use digital technologies—and private sector companies that own and operate them—as diplomatic lubrication: a means to navigate around and overcome difficult diplomatic relationships, building momentum towards recognition. Second, digital competition between states leads them to conform their national economic structures towards global technology companies in similar ways, thereby recognizing each other as equal participants in a global market—which we term market-oriented homogenization. Third, states involved in transnational internet infrastructure projects together develop technical working practices, interests, and dependencies that facilitate diplomatic recognition—which we term infrastructural integration. Building on these three propositions, we put forward an overall concept of ‘digital recognition’ to capture their common theme: the influence of digital technologies, their owners or their operators on state recognition.

Spiritual Branding and Corporate Profit in the Japanese Modern Mystery School

This article analyzes the irreducibility of spiritual branding, theologies of self-divinity and the business practices of a global esoteric company. Based on fieldwork with the Modern Mystery School (MMS) in Tokyo, I show how initiates, by purchasing an ascending syllabus of esoteric courses, recognize their own divinity and parlay this recognition into a spiritual brand that helps them market to their own clientele niche. The spiritual transformation of recognizing one’s transcendent individual royalty is necessarily monetized as Adepts transition from paying clients to income-generating spiritual therapists. Parallel to this, top leadership have consciously fused MMS as an ancient hermetic lineage with a modern-day entertainment company, fashion company and lifestyle magazine. This has given MMS in Japan a recognizable public aesthetic which, combined with teachings about opposite but complementary Divine Masculinity and Femininity, advances gender normative ideologies often experienced by followers as spiritual alternativity. This article theorizes the intertwined relationship of other-worldly self-branding and this-worldly business acumen without reifying the binary between religion and economy or reducing meaningful spiritual transformation to corporate profit.

Evaluating the financial case for investing in, or divesting from, tobacco investments.

Tobacco Free Portfolios urges institutions to pledge against investing in, and to withhold financial services from, tobacco companies. Their goal is to create a 'tobacco-free world'. They argue that without financial and investor support, these companies' operations will become less sustainable. To assess the financial rationale for investing in, or divesting from, tobacco companies. Using data sourced from Bloomberg from 2008 to 2023, we evaluate historical sales volumes, real revenue, real gross profit per cigarette, stock performance and price-to-earnings trends for nine leading listed global tobacco companies. Cigarette sales volumes have steadily declined from 2008 to 2023. Despite efforts to diversify towards novel products, revenues from these products remain small, and cigarettes remain the primary revenue source. Excluding inorganic growth, six of the nine companies experienced real revenue declines from 2008 to 2023. Since 2016, many companies experienced declines in real gross profit per cigarette, indicating that they find it increasingly difficult to offset reduced cigarette sales through net-of-tax price increases. Since 2016, all nine tobacco companies' stocks have substantially underperformed the market. This stands in contrast to the 2008-2016 period, during which all nine companies' stocks substantially outperformed the market. Tobacco companies have experienced deteriorating financial performance since 2016, amidst ever-escalating regulation. It remains unclear whether the growth in novel products will be rapid enough to mitigate the decline in cigarette sales. This uncertainty poses heightened risks for investors, and there is a real possibility of continued poor stock performance.

Greensill capital and the use of the administration process in UK company law: an incomplete case study

ABSTRACT This paper examines the Greensill collapse, with a central focus on the UK company administration procedure under the Insolvency Act 1986, exploring its broader implications for international corporate finance regulation. It analyses the events leading to Greensill’s collapse and the challenges encountered during the administration process, shedding light on stakeholder rights and the delicate balance between national and international legal frameworks. This case illustrates the intricacies of contemporary administration practices, demonstrating how administration can serve as both a rescue mechanism and as a tool for a more efficient liquidation, aimed at maximising asset value to provide better dividends for creditors. Ultimately, the paper underscores the risks inherent in financial innovation, offering lessons for the ongoing evolution as regards to the usage of administration. As the Greensill saga continues, the paper anticipates future developments, emphasising the need for systematic understanding and vigilance in complex financial scenarios.

Innovating for sustainability in food and beverage companies: the role of governance and environmental factors in climate change mitigation

PurposeFocusing on the food and beverage (F&B) sectors, this study aims to identify combinations of external environmental factors (natural disasters and water stress) and internal corporate governance factors (corporate social responsibility [CSR] sustainability committee, board gender diversity and stakeholder engagement) that lead to the integration of climate change mitigation innovation and technologies.Design/methodology/approachA fuzzy set qualitative comparative analysis (fsQCA) was conducted on a global sample of 262 listed companies in the F&B sectors. Two additional analyses were performed for European and Asian companies.FindingsIn the three models, the presence of CSR sustainability committees and stakeholder engagement was crucial for achieving the integration of climate change mitigation innovation and technologies. The relevance of board gender diversity differs between the European and Asian models, highlighting potential regional influences on corporate climate innovation decisions. The combination of external and internal factors is the key to justifying different approaches to achieving climate innovation.Originality/valueThis study offers insights into the factors driving the integration of climate change mitigation innovation and technologies into company strategies. Related strategies must combine external and internal factors to enhance the climate resilience and competitiveness of F&B companies while reducing their environmental impact.

Identarian Atlanticism and foreign policy implications: a study of European public attitudes

ABSTRACT An increasing number of scholars have studied the role of identity in shaping states’ foreign policy. In Europe, the existence of diverse national identities renders shared senses of European identity an important foundation for any foreign policy requiring supra-national coordination. Most studies support the view that strengthening senses of European identity promote ‘Europeanist’ foreign policy paradigms that emphasize the importance for Europe to act as an autonomous and independent global player. However, we suggest that the effects of European identification on citizens’ foreign policy preferences remain poorly understood. In this paper, using novel survey data, we statistically assess the linkages between citizens’ sense of European identity and their preferences to align with the United States. We find European identity to be strongly tied to ‘Atlanticist’ foreign policy attitudes and attribute much of this effect to feelings of ideational proximity. Our results provide insights into the future of Europe’s international positioning and showcase the importance of considering the relative proximity in actors’ identities when studying the impact of such identities on foreign policy attitudes.

The Effects of Governance-Related Regulatory Reform: Ownership Structure and Earnings Management in Vietnamese Listed Firms

The purpose of this study is to examine how the influence of the internal corporate governance mechanism, namely ownership structure, on firms’ earnings management (EM) practices and insider choices between accrual-based and real EM changed after regulatory reform in Vietnam. The author considers the role of three ownership types, managerial, state and foreign, and assess how the relation between ownership structure and EM was affected by the Code of Corporate Governance reform. The study relies on a comprehensive sample of 4,408 firm-year observations of 596 firms listed on either the HOSE or HNX between 2008 and 2016. The study finds a significant effect of the reform on the relation between ownership structure and EM. Thus, the reform mitigated agency problems of managers and foreign investors in Vietnamese listed firms. The study contributes to the literature as it provides a more complete picture of the effects of managerial, state and foreign ownership on EM where the protection of minority investors is generally weak and legal enforcement is low in a developing economy.

Refining the Scrum Paradigm: A Comprehensive Study of Software Development Practices (2020-2023)

This article presents a complex vision on software production practices aimed at enhancing the Scrum methodology within software project management. The recommended best practices are closely aligned with contemporary trends in the IT sector, including the total digitalization and virtualization of production processes, the transition to fully remote software development models, the incorporation of artificial intelligence technologies, and the implementation of cost-effective models in team organization. The modifications to software production processes discussed herein are grounded in research conducted between 2020 and 2023, encompassing insights from leading Russian, European, and global IT companies. This research underscores a significant transformation in IT business practices, reflecting a shift towards new benchmarks for Scrum team efficiency. These benchmarks emphasize the data-driven formalization of production models, automation facilitated by AI tools, and noticeable cost optimization within engineering teams, which collectively align with the evolving demands of the modern IT landscape. The article details a series of management strategies designed to adapt to these shifts, including the formalization of sprint goals and processes within Scrum, management of technical debt, and the cost-efficient organization of development teams.

Managing Financial Risks of Global Companies Through Corporate Social Responsibility: The Specifics of Sustainable Employment in Developed and Developing Countries

The motivation for this research was the desire to disclose the social nature of the financial risks of global companies: the authors attempted a scientific explanation of the influence of corporate social responsibility, which is manifested through the preservation and creation of additional jobs, on the financial risks of global companies. The research aims to establish the interdependence between financial risks and sustainable employment in global companies. This goal is achieved using the SEM (structural equation modeling) method based on corporate statistics from the Fortune “Global 500” rankings for 2021–2023. As a result, the consequences of global companies’ CSR (corporate social responsibility) practices in personnel management and financial risk management are modeled and described through quantitative and qualitative patterns. The established regularities proved that for developed and developing countries, the larger the number of employees, the lower the financial risks of global companies—the risk of a decrease in profitability, the risk of loss of profit, and the risk of depreciation of assets. The main conclusion is that there is a close systemic relationship between the financial risks of global companies and their workforce size, suggesting that CSR is key to highly effective financial risk management. A clear distinction between the practices of financial risk management through CSR in developed and developing countries forms the basis of the theoretical significance of the research results. The authors provide recommendations to improve the current practice of financial risk management in global companies by integrating it more closely with personnel management practices, highlighting their managerial relevance. It is proposed that corporate strategies for global companies in developed countries should focus on reducing the risk of declining profitability, as CSR has the most pronounced and consistent impact on this particular financial risk. In developing countries, corporate strategies are recommended to be structured by diversifying the areas of CSR application, with the most promising in financial risk management being the reduction in asset depreciation risk and the reduction in profitability risk. The findings of this research have practical significance because they enhance the predictability of CSR activities of global companies and open up opportunities for highly accurate forecasting of the financial risk implications of ensuring sustainable employment by global companies, considering the specificities of developed and developing countries.

An Experimental Study to Explore the Effectiveness of a 3D Maritime Serious Game Prototype: Maritime Leaders at Sea

This paper conducts a comprehensive experimental study designed to investigate the effectiveness of a maritime serious game called Maritime Leaders at Sea (ML@S). The 3D cutting-edge prototype targets to enhance leadership and teamwork skills of undergraduate maritime students via engaging them in immersive gameplay scenarios reflective of real-world challenges at sea. Competing the ML@S sessions, the number of 76 students were included in the feedback assessment survey to assess their perceptions and attitudes on the simulated environment. The feedback is also linked to the learning analytics perspective to involve time and scoring data of players through different levels at operational scenarios. Preliminary analyses reveal promising results, suggesting a positive correlation between participation in ML@S, feedbacks after sessions, and improvements in leadership and teamwork as key competencies. It is anticipated that this study will make significant contributions towards game developers, technology start-ups, educational institutions, and global shipping companies. The implications of the study offer valuable insights for the development of future serious games aimed at enhancing essential skills of maritime human resources in dynamic and high-stakes environments.

Digging deeper: Unpacking the subnational political drivers of Chinese extractive investment in Latin America

There is a long scholarly tradition that argues that political variables figure prominently in international corporations’ decisions to invest abroad. Most of this literature has focused on the national political determinants of investment allocation. Yet, in some sectors, the bulk of this investment is local. Chief among these sectors are extractive industries where assets are endowed to different local jurisdictions. How do political factors shape extractive foreign direct investment (EFDI) in local jurisdictions? We focus on Latin America, a region of the world that is rich in natural resources, and that has recently attracted a sizable amount of Chinese investment. Drawing on a novel dataset on subnational Chinese EFDI in Argentina, Brazil, and Mexico (2002–2018), and using a logistic model with time series cross-national data we find that multilevel partisan alignment is a strong determinant of Chinese EFDI. In highly decentralized countries, Chinese EFDI is primarily targeted to subnational districts ruled by governors who are politically aligned with presidents. We illustrate the logics of this allocation with two case studies. Our findings make a valuable contribution to three growing fields of study: the subnational determinants of foreign investments, multilevel governance, and the political factors driving Chinese investments in developing countries.

Impact of Servitization on Employee Satisfaction with Performance Evaluation Systems: A Case Study of China’s New Energy Sector Amid Power Market Reforms

This study investigates the mechanisms by which service-oriented transformation affects employee satisfaction with performance evaluation systems within the context of China’s electricity market reform. Using CGN New Energy’s Guangxi Branch as a case study and applying the grounded theory method, the research systematically analyzes employees’ perceptions of fairness, transparency, and career development during the transition from a product-oriented to a service-oriented model, based on in-depth interviews and surveys. The findings reveal that while servitization enhances employee skill development and career satisfaction, it also introduces challenges, such as increased work pressure and the demand for more transparent performance evaluation systems. This study provides valuable insights into optimizing management practices and performance evaluation systems in renewable energy companies, contributing both theoretically and practically to the literature on organizational transformation in the energy sector. These conclusions are not only significant for Chinese enterprises but also offer important reference points for global energy companies undergoing similar transitions.

The Impact of the Digital Transformation of Chinese Cultural Products on Marketing and Communication Strategies

In an era defined by globalization and rapid technological advancement, Chinas cultural industry is undergoing a significant transformation. This study investigates the profound effects of digital transformation on Chinas cultural industry, focusing on digital cultural innovation products such as digital art, virtual reality experiences, and online cultural creations. As globalization and technological advancements reshape cultural production, dissemination, and consumption, Chinas digital cultural sector has emerged as a significant global player. This research systematically reviews literature, industry reports, and case studies to analyze how Chinese digital cultural products are influencing marketing and communication strategies. The findings reveal that advancements in virtual reality, augmented reality, and artificial intelligence are leading to the creation of immersive and diverse cultural experiences, significantly enhancing consumer engagement and market reach. The study also highlights the transformative role of digital tools in marketing, including dynamic content creation and interactive experiences, while addressing challenges such as market saturation and the need for balanced engagement strategies. Future research should incorporate quantitative and qualitative data to further explore these dynamics.

Looking to Livestock: Gauging the Evolution of the EU's Agri-Climate Law and Policy

Abstract Awareness of agricultural climate impacts is growing. In the European Union (EU), the agricultural sector is responsible for significant greenhouse gas emissions while continuing to receive considerable EU budgetary support. A large share of agricultural emissions is linked to livestock husbandry, a sector the direct and indirect climate impacts of which the EU's ‘green’ agricultural policies have historically ignored. This blind spot extends to the sizeable global deforestation footprint from EU livestock feed imports that remains unaddressed, despite the EU's aspired status as a global climate leader and major global agricultural market player. This article benchmarks the evolution of EU agri-climate legal and policy developments, using livestock emissions as a case study to highlight the importance of learning from the successes and failures of the EU experience, to realize future attempts to tackle global agricultural emissions.