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Supply chains deliver goods and services between shippers and receivers, covering collection, transportation, distribution as well as their handling and storage in between. In particular, transportation services are carried out by different transport modes. In some modern supply chains, different categories of air cargo carriers – combinations, freighter-only, and/or integrators – provide critical transport services.

This chapter develops a methodology for estimating the performance of supply chains served by an air cargo carrier network. The methodology is based on indicators of infrastructure use, technical/technological level, operational factors, economic factors, and environmental performance. This proposed methodology is applied to estimate performance of supply chains served by an integrated air cargo carrier – FedEx Express – operating a single hub in the US domestic air network. Results indicate that the methodology may be useful for estimation of overall supply chain performance under the condition that relevant data are available.

This paper attempts to explore the interrelationships between the split-share structure reform and privatization processes in light of the interplay between the listing announcements of the non-traditional shares of the Chinese firms within the steel industry and market reaction to these listed shares, as well as to analyze the value gained by the firms due to the privatization processes.

The paper examines market reaction to the listing announcements of non-traditional shares as traditional shares by employing event-study methodology. To determine the success of privatization process and value creation to the firm, the paper utilizes multivariate analysis.

The exogenous factors emphasized in a topographical order, explicitly profitability, efficiency, and leverage, are related to the privatization processes and split-share structure reform that impact the market. The study supports that market reacts positively to the listing announcements of non-traditional shares. Being listed improves value to the firm.

The limitation of this study is the lack of data on country, industry, and firm factors; and this study merely relates to one specific industry and one country.

The paper fills a gap in the literature by articulating the impact of privatization and split-share structure reform on both market reaction and firm value. It focuses on the impact of a dynamic process rather than the impact of a static constituent on market reaction and firm value, as the previous studies have been concentrating on. The research shows that there is an accelerated privatization process of state-owned firms in Chinese steel industry and their integration in capital markets.

This chapter investigates the geographical variations and approaches that shape the implementation of smart city projects on a global scale. Recognizing the significant influence of contextual factors on smart city initiatives, this chapter aims to comprehend the dynamics that drive the objectives and approaches of smart city projects across different countries. This chapter provides an overview of the strategic and geographical factors that impact smart city implementation, considering organizational drivers and practices, such as the Hofstede model in context. It explores the role of citizen-based, technology-based, and decision-making-based development in smart city implementation. Moreover, this chapter examines the strategic, cultural, socioeconomic, and geographical differences that influence smart city projects worldwide. It analyzes the geographical influence and internal drivers of smart city projects, focusing on Europe, North America, Latin America, and East and South Asia. This analysis offers insights into diverse approaches to smart city development, encompassing top-down and bottom-up approaches. By examining various perspectives and experiences from smart city initiatives worldwide, this chapter sheds light on the challenges and opportunities associated with implementing smart city strategies in different contexts.

The objective of this research work is to study the artificial intelligence (AI)-based product benefits and problems of the agritech industry. The research variables were developed from the existing review of literature connecting to AI-based benefits and problems, and 90 samples of primary data from agritech industry managers were gathered using a survey of a well-structured research questionnaire. The statistical package of IBM-SPSS 21 was utilized to analyze the data using the statistical techniques of descriptive and inferential statistical analysis. Results show that better information for faster decision-making has been ranked as the topmost AI benefit. This implies that the executives of agritech units have a concern about the quality of decisions they make and resistance to change from employees and internal culture has been ranked as the topmost AI problem.

Today’s China has striven to exclude street vendors through political campaigns such as “National Sanitary City” and “National Civilized City.” Such campaigns pursue modernity and beautiful urban spaces by deeming street vendors to be disorderly, unsanitary, and obsolete. Taking a single Chinese city as a case study, this research analyzes why and how local bureaucratic apparatuses apply rapidly-changing and ambiguous political treatment to street vendors. This research also examines street vendors’ struggles and coping strategies with these ever-changing politics.

The data for this study were obtained during a total of ten months of fieldwork, beginning in 2013 and ending in 2016. In-depth interviews were conducted with fifty-one street vendors and six government officials; additionally, the researcher consulted newspaper reports, archives, and relevant official publications.

First, regarding the governance of street vendors, the local administration has shifted their stance between two distinct patterns – suppression and tolerance – depending on the timing of certain political campaigns. Second, the corruption and laziness of government officials has provided niches for the revival of street vending after campaigns are over, though with limitations. Third, street vendors in China tend to be passive recipients of government suppression, unable to forge effective resistance because of a lack of strong leadership and general organization.

This research will add to the general understanding of the government-vendor relationship by revealing the complexity, uncertainty, and flexibility inherent in interactions between these two groups.

This research attempts to understand how individuals prevent themselves from exposure to COVID-19 when dining out at a restaurant and what situational factors shaping their COVID-19 preventive behavior (CPB) are. It collects 303 questionnaires responded by restaurant patrons in the United Arab Emirates. The resultant data reveals the ranks of the relative importance among the five CPBs proposed by this study that wearing a mask is considered the most critical CPB. In contrast, wearing gloves is the least desirable CPB. Concerning five health-risk factors under investigation, there is no difference in CPB between the vaccinated and non-vaccinated. People suffering from issues with their immune system show a significant inclination to stress social distancing compared to those without any immune issues. Those having an inflected family member are apt to wear gloves. Further, individuals bearing risk factors concerning chronic illness, an immune problem, and an infected family member are inclined to wash their hands and wear gloves. Lastly, this research finds six situational factors affecting an individual's CPB.