Search results

Internet + and Electronic Business in China is a comprehensive resource that provides insight and analysis into E-commerce in China and how it has revolutionized and continues to revolutionize business and society. Split into four distinct sections, the book first lays out the theoretical foundations and fundamental concepts of E-Business before moving on to look at internet+ innovation models and their applications in different industries such as agriculture, finance and commerce. The book then provides a comprehensive analysis of E-business platforms and their applications in China before finishing with four comprehensive case studies of major E-business projects, providing readers with successful examples of implementing E-Business entrepreneurship projects.

Internet + and Electronic Business in China is a comprehensive resource that provides insights and analysis into how E-commerce has revolutionized and continues to revolutionize business and society in China.

Purpose – This study examines the meaning of shopping for Taiwanese students visiting England. It asks how this activity takes place, what purposes it serves for the students, and how the resulting purchases make meaning for the students once they return to Taiwan.

Methodology/approach – The study is ethnographic, involving observation and interviews in England as well as visual elicitation and interviews with the students once they returned to Taiwan and also some time later.

Findings – Shopping for souvenirs in England is found to be part of the process by which young Taiwanese tourists come to understand cultural differences. It is also a part of the process by which these students fulfill social obligations to those family members who have largely funded their trips. It is also a way of engaging with locals through the medium and excuse of shopping. Both the items selected and the memories they encode form thesomewhat stereotypical condensations of the experience of going abroad to “The West.”

Research limitations/implications (if applicable) – Those studied represent a young group with limited prior travel experience. Their retrospective recollections are subject to some distortion, although this is a part of the normal process of remembering.

Practical implications (if applicable) – For those planning foreign educational exchange programs, the critical role of shopping in this process should not be neglected.

Originality/value of paper – The researcher accompanied the students on their trip to England and also followed up with them once they returned home to Taiwan. This produced a rare insight into the process of tourist meaning-making during and after their trip abroad.

Inner city centers not only provide opportunities for shopping, dining, and entertainment, but with their lively atmosphere and other vital attributes, also create attractive destinations for residents and tourists alike. However, inner city retailing, potentially the most important reason to visit an inner city, is facing serious competition from e-commerce and out-of-town shopping malls. Dying inner city centers have become a severe issue in recent years, worldwide. To counteract this devastating trend and ensure the vitality and viability of inner city centers, stakeholders from the public and private sectors regularly join their forces in initiatives to strengthen urban structures. However, academic insights into the contribution of retailing on perceived city attractiveness remain sparse. Relying on an extensive data set that combines survey and observational data, the authors are able to quantify a variety of inner city characteristics, ranging from its store and service provider portfolio to its ambience and accessibility, and measure their association with its perceived attractiveness. They show that a city's portfolio of retail stores is not only related to people's perceptions of the city's overall attractiveness but also perceptions of its ambience. However, not all retail categories contribute the same way; while the presence of clothing stores or booksellers is strongly associated with cities' ambience as well as attractiveness, other retail categories such as optometrists or electronics stores are negatively associated with consumers' inner city perceptions. Importantly, these relationships also depend on the size of the focal city. Based on their results, the authors provide important managerial and societal implications on how to leverage the local retailing environment to improve inner city attractiveness. For example, the results may inform (local) governments on which sectors to subsidize in order to attract those store and service provider categories that benefit inner city attractiveness.

Artificial intelligence (AI) has already changed the financial industry by increasing the accessibility and inclusiveness of financial services. While acknowledging the challenges posed by AI, this chapter provides insights into the positive impact of AI in promoting financial inclusion. AI has greatly enhanced credit scoring and risk assessment through the use of non-traditional data sources, enabling individuals with limited credit histories and low incomes to access loans and financial products. In addition, the implementation of AI-powered customer identification and verification systems has enhanced security measures while reducing the risk of fraudulent activity. However, the digital divide still remains a challenge to achieve wide financial inclusion. Limited access to technology and digital skills keeps some people from fully benefiting from AI-powered financial services. Access to loans through AI systems may seem convenient, but it also raises concerns about excess borrowing and the resulting unsustainable debt levels. In the age of digital finance, privacy and data security are still key issues. The chapter concludes by highlighting that more research is needed to address these challenges. By fully understanding the potential of AI, as well as its limitations, the power of technology can be harnessed to create more inclusive economic opportunities for everyone, especially those living in poorer areas.

Purpose – This chapter examines the role of payment platforms in the United States in sex censorship in which platforms have a pattern of denying financial services to people and businesses involved in publishing legal sexual content. It answers the following questions: what explains payment platforms’ regulation of lawful sexual content and what are the consequences? Methodology/Approach – Drawing from the platform governance literature, this chapter closely examines the corporate policies for PayPal and the credit card companies that prohibit certain types of sexual content and services. Findings – This chapter argues that payment platforms’ censorship of sexual expression is shaped by the distinctive nature of and market concentration within the online payment industry. Payment actors’ systematic campaign of sexual censorship disproportionately affects small businesses and individual operators in the sex and adult entertainment industries and amounts to “digital redlining,” a form of financial discrimination. Originality/Value – Payment providers’ role in regulating sex online has received considerably less scholarly attention than research on social media platforms. This gap in scholarship is notable as big payment actors have systematically denied services for about a decade relating to sexually oriented goods and services (see Blue, 2015a).

The mid-1990s marked a paradigm shift in the way physical activity is promoted, and walking is now considered the most suitable type of physical activity for widespread promotion. Accurate measurement underpins public health practice, hence the aims of this chapter are to: (1) provide a typology for the measurement of walking; (2) review methods to assess walking; (3) present challenges in defining walking measures; (4) identify issues in selecting instruments for the evaluation of walking and (5) discuss current efforts to overcome measurement challenges and methodological limitations. The taxonomy of walking indicates that secondary purpose walking is a more complex set of behaviours than primary purpose walks. It has many purposes and no specific domain or intensity, may lack regularity, and therefore poses greater measurement challenges. Objective measurement methods, such as accelerometers, pedometers, smartphones and other electronic devices, have shown good approximation for walking energy expenditure, but are indirect methods of walking assessment. Global Positioning System technology, the ‘Smartmat’ and radio-frequency identification tags are potential objective methods that can distinguish walkers, but also require complex analysis, are costly, and still need their measurement properties corroborated. Subjective direct methods, such as questionnaires, diaries and direct observation, provide the richest information on walking, especially short-term diaries, such as trip records and time use records, and are particularly useful for assessing secondary purpose walking. A unifying measure for health research, surveillance and health promotion would strongly advance the understanding of the impact of walking on health.

The nature of technologies that are recognised as Artificial Intelligence (AI) has continually changed over time to be something more advanced than other technologies. Despite the fluidity of understanding of AI, the most common theme that has stuck with AI is ‘human-like decision making’. Advancements in processing power, coupled with big data technologies, gave rise to highly accurate prediction algorithms. Analytical techniques which use multi-layered neural networks such as machine learning and deep learning have emerged as the drivers of these AI-based applications. Due to easy access and growing information workforce, these algorithms are extensively used in a plethora of industries ranging from healthcare, transportation, finance, legal systems, to even military. AI-tools have the potential to transform industries and societies through automation. Conversely, the undesirable or negative consequences of AI-tools have harmed their respective organisations in social, financial and legal spheres. As the use of these algorithms propagates in the industry, the AI-based decisions have the potential to affect large portions of the population, sometimes involving vulnerable groups in society. This chapter presents an overview of AI’s use in organisations by discussing the following: first, it discusses the core components of AI. Second, the chapter discusses common goals organisations can achieve with AI. Third, it examines different types of AI. Fourth, it discusses unintended consequences that may take place in organisations due to the use of AI. Fifth, it discusses vulnerabilities that may arise from AI systems. Lastly, this chapter offers some recommendations for industries to consider regarding the development and implementation of AI systems.

Peer-to-Peer (P2P) lending, which makes borrowers and investors meet directly through online platforms bypassing traditional financial institutions, is an emerging financing market after the traditional financial institutions crushed during the global financial crisis from 2007 to 2009. P2P lending platforms meet the credit demand more efficiently and play a vital role for the credit market and economic activity. This study sheds light on whether the credit spread of P2P lending is well predictive of economic activity compared to the bond credit spread which has been fully investigated in prior studies. Our findings show that the P2P credit spread performs similarly in predicting the economic activity as bond credit spread only during the financial crisis. However, the predictive power of P2P credit spread becomes inverse during the noncrisis periods since P2P lending platforms provide an alternative and easier financing channel to individuals who hardly borrow money for refinancing from traditional financial institutions. This study highlights the alternative role of P2P lending platform in financing and provides the evidence of different predictive powers of P2P credit spread on economic activity in different time periods.