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To understand the rationale for foreign direct investment of Chinese electronic companies, their location decisions and entry mode choices

Secondary data on foreign direct investment of the top 100 companies in China’s electronics industry are analysed. The first part covers an exploratory analysis of the industry and the second part presents a comparative longitudinal analysis of three case studies of representative companies: Haier, Huawei, and Lenovo.

The three key findings are: (1) market-seeking is the primary motivation for foreign direct investment of Chinese companies in the electronics industry, yet the strategic-asset-seeking gains importance as the internationalization of the company advances; (2) foreign investment path normally starts at adjacent foreign markets, but more distant markets are gradually targeted and become more important for the company; (3) wholly owned investments are the preferred market entry modes in the international expansion.

This research is based on secondary data, and more in-depth, interview-based studies are needed to explore the perceptions of decision-makers, and a plethora of contextual factors, which result in specific market entry decisions. As only the 100 largest companies were studied, future research should put under scrutiny also internationalization of smaller firms.

Implications of such findings are discussed in the light of classic internationalization theories as well as the current research on internationalization of companies from emerging/developing countries.

Provides an account of foreign direct investment in a context of a substantial and growing importance for the practice of international business, and identifies an agenda for promising future scholarly inquiries.

The COVID-19 pandemic, which globally affected all the countries of the world both economically and socially, has become one of the biggest crises after the 1929 world economic depression. During this period, not only people's health but also the economic health of countries was affected. In this process, people have created intense connection traffic on the internet to meet their needs, and this has accelerated the digitalization processes of businesses. Thus, the concept of digital transformation began to be widely used. Today, digital transformation processes have become an external environmental variable that covers all sectors, not businesses in a single sector. This situation has revealed the necessity of creating new business/management strategies that increase customer value for business managers. Digital transformation has shown itself in all business functions. In other words, the demands and priorities of each function and its managers have also changed. Therefore, business and department managers are required that they perceive digital transformation processes correctly and integrate their businesses/departments into this process with the right business/management strategies, without conflicting with the digital transformation processes. In this study, various ideas and evaluations put forward about sustainable business/management strategies that can be applied against the current and future importance of the digitalization/digital transformation process and its possible effects on businesses are included.

In recent years, a great number of top conferences and workshops on artificial intelligence (AI) were held in China, showing Chinese AI plays an important role in the world. Meanwhile, Chinese government announced an ambitious scheme, “New Generation Artificial Intelligence Development Plan,” for the country to become a world leader in AI technologies by 2030. The AI research in China has covered various aspects, ranging from chips to algorithms. This chapter attempts to give an overview of the recent advances of AI research and development in China, as well as some perspectives on the future development of AI in China.

The increasing importance and proliferation of text data provide a unique opportunity and novel lens to study human communication across a myriad of business and marketing applications. For example, consumers compare and review products online, individuals interact with their voice assistants to search, shop, and express their needs, investors seek to extract signals from firms' press releases to improve their investment decisions, and firms analyze sales call transcripts to increase customer satisfaction and conversions. However, extracting meaningful information from unstructured text data is a nontrivial task. In this chapter, we review established natural language processing (NLP) methods for traditional tasks (e.g., LDA for topic modeling and lexicons for sentiment analysis and writing style extraction) and provide an outlook into the future of NLP in marketing, covering recent embedding-based approaches, pretrained language models, and transfer learning for novel tasks such as automated text generation and multi-modal representation learning. These emerging approaches allow the field to improve its ability to perform certain tasks that we have been using for more than a decade (e.g., text classification). But more importantly, they unlock entirely new types of tasks that bring about novel research opportunities (e.g., text summarization, and generative question answering). We conclude with a roadmap and research agenda for promising NLP applications in marketing and provide supplementary code examples to help interested scholars to explore opportunities related to NLP in marketing.

This chapter discusses the high adoption of plastic bags/packages by food providers in Malaysia during pandemic that resulted in a long-time lockdown. Under the federal government act of ‘Movement Order Control’ (MCO), people had no choice but to order food or purchase food ingredients via online food delivery services. Such situation made the food delivery business instantly one of the top and essential economic contributors. However, this also severely impacted our environment specifically the growing usage of plastic bag, plastic food container, and parcel packaging. While the food delivery company introduces a campaign to reduce and replace the plastic bag/packages, the awareness level is still very low. This chapter highlights the introduction of food delivery business striving in the COVID-19 pandemic, the severity of plastic usage and challenges of sustainability marketing campaign in Malaysia.

Waste management is one of the vital objectives for the EU since it has a substantial effect on the environment. European Commission expects annual waste creation on Earth to increase by 70% by 2050. European Commission also estimates that efficient waste management might boost the EU economy's gross domestic product (GDP) by 0.5% by 2030. Hence, it is essential to conduct research including both efficiency and influencing factors analysis for effective waste management. First, we employ both slack-based measure (SBM) and super-SBM data envelopment analysis approaches to investigate the waste management efficiency of the EU region and distinguish between efficient countries. The countries with small areas such as Luxembourg and Ireland have demonstrated super efficiency. Second, we maintain our empirical research with ordinary least square analysis to explore the determinants of waste management. We also conclude that population density, GDP per capita, and tourism rise the amount of waste generated in the EU region.

The adverse effect of plastic pollution on the tourism industry is one of the emerging research areas in the field of sustainable tourism over the past years. However, there is a lack of discussion on this issue in the academic platforms. Considering this, in this chapter, a scientometric analysis of 110 academic publications from the Web of Science (WoS) between 1999 and 2021 related to plastic pollution and tourism is presented. A bibliometric analysis using CiteSpace was utilised to analyse the data to present the keyword timezone, collaboration network and co-citation network. The analysis shows that the publications in this field have increased rapidly, and it has become an emerging and interdisciplinary research topic. Scholars from Australia, Spain, Brazil and China have published most on the topic. The Chinese Academy of Science with four articles is the largest contributor in this field among other institutions. Moreover, citizen science is found to be a new keyword coming up in recent years, and human health is one of the major concerns. The findings from this study provide valuable insights for the academicians and policy makers in understanding the issue.