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With the holistic approaches of Industry 4.0, products, services, standards, and application techniques have been improved. This digitalization era has not only impacted the production and service dynamics, but also added advanced dimensions to logistics and supply chain management. According to the current world standards, consumer behavior makes the logistics and supply chain processes more challenging. Especially during the COVID-19 outbreak, logistics and supply chain operations became more crucial for the firms, as most consumers have tended toward online shopping while they are in lockdown. Therefore, the competitive environment today enables firms to adapt the technologies and approaches of Logistics 4.0 and smart/digital supply chain, as they must respond to consumers' demands quickly. Moreover, firms need to have strong relations with their supply chain partners via these technologies. The technologies such as the Internet of Things (IOT), cyber-physical system, Big Data, and cloud computing help to change the fundamentals of logistics and supply chain and improve processes for all industries. This study aims to analyze the transformation of traditional logistics and supply chain activities into Logistics 4.0 and smart/digital supply chain. Primarily, we hope to analyze the existing studies by investigating the concept of Logistics 4.0 within Industry 4.0 dynamics. As firms develop their logistics operations, their supply chain processes will be shaped by the technologies and applications, and this situation also leads us to find out the importance of smart or digital supply chain operations. Discussing the potentials of smart or digital supply chain also lets us to reveal how companies handle their logistics operations during the COVID-19 period.

The success of an organization that is operating in a volatile industry and in an increasingly uncertain external environment depends on various factors. Although existing literature mentions factors that could be considered as prerequisites of success for the continuity of business, there is limited research done specifically in the fuel/energy logistics industry within the context of United Arab Emirates. Using case study as a methodology, the present authors aim at understanding the growth model and strategic success factors of an energy logistics company, established in Dubai, the “Tristar Group.” With a presence in more than 21 countries, the group has over 22 years of history with 4 major service offerings under its portfolio. During its tenure, Tristar has achieved more than 70 awards and accolades, both regional and global in the field of corporate social responsibility (CSR), safety, quality, employee engagement, and strategic partnerships. The strategic drivers that have influenced the success of the organization include: responsible leadership and strategic agility, building a safety culture through strategic alliances, customer retention through service excellence, CSR and sustainability initiatives, employee empowerment & engagement, and enhanced service offerings through integrative growth strategy. In conclusion, the case study recommends the following future areas for research, namely, the impact of global scanning on corporate growth strategies, the types and nature of tools & interventions to be used for sustaining a safety led culture and the capabilities required for an organization to be resilient and anti-fragile.

The convergence of the digital supply chain (DSC) with sustainability presents promising opportunities and notable challenges for today's enterprises. This chapter explores the relationship between digital supply chain management (DSCM) and sustainability within the context of supply chain management. It begins by providing a detailed overview of the digital transformation in supply chain management, emphasizing its rapid evolution and its profound impact on sustainability. The chapter then delves into the various sustainability challenges that manifest within DSCs, including issues related to energy consumption, e-waste management, and environmental impact. It goes beyond environmental considerations, exploring social and ethical dimensions, such as the potential consequences of digitalization on socioeconomic disparities. Moreover, the chapter presents a comprehensive framework of best practices and strategies aimed at navigating these challenges. It highlights the utilization of digital technologies like artificial intelligence (AI), Internet of Things (IoT), and blockchain to enhance transparency, efficiency, and responsible sourcing. Real-world case studies are included to exemplify successful implementations of sustainable practices across diverse industries. In conclusion, the chapter emphasizes the imperative of a holistic, authentically sustainable supply chain transformation, underpinned by digital technologies, to advance sustainability objectives while adeptly addressing emerging challenges in the ever-evolving landscape of supply chain management.

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.

Airports are the portals where international air transport networks, which are increasingly important in a globalized, services-oriented economy, intersect with regional and metropolitan ground transportation networks. Our hypothesis is that, at this nexus, the degree of international connectivity at an airport and distance from the airport manifests itself in the value of commercial properties. As such airports are shaping the urban form around them and highlight the importance of integrated metropolitan and airport planning. Looking at Canada’s two largest international airports at Toronto, Ontario and Vancouver, BC, and controlling for other factors, we see evidence that commercial properties decrease in value as distance to the airport increases and increase in value as the range of international frequencies and destinations available at the airport increase. We introduce a new concept of land-use at and around airports of “aviation-dependent” which would include hotels and corporate head offices, in addition to the traditional “aviation-related” and “aviation-compatible” uses. We see the effects of distance and connectivity are particularly pronounced on commercial properties occupied by aviation-dependent uses.

This chapter investigates the potential of integrating multiple criteria decision-making (MCDM) techniques with decision support systems of digital supply chain management (DSCM) to achieve optimal outcomes. Digital supply chain (DSC) employs digital technologies (DTs) such as artificial intelligence (AI), Internet of Things (IoT), and big data analytics to provide extensive datasets and valuable insights pertaining to supply chain operations. MCDM techniques employ these realizations to facilitate informed decision-making through the assessment of multiple competing criteria. Usually MCDM approaches are used in the academic research with comparatively lesser application in industry. We argue that MCDM methodologies can play an instrumental role in DSCM, specifically in the areas of supplier selection, demand forecasting, and inventory management. Nevertheless, the integration of MCDM like AHP, ANP, DEMATEL, etc., with decision support systems presents several challenges, including concerns regarding the quality of data and the intricate task of assigning weights to various factors.

Improved production with quality, safety, and security is the biggest challenge of the food industry. Modern technologies, including robotics and automation systems, can help to cope with such issues. This chapter gives a brief view of robotics and automation for the sustainable food industry along with packaging, warehousing, distribution, marketing, and consumer services. It describes the recently implemented solutions of robotic automation in different supply chain operations and various food commodities. The benefits of robotic and automation technology for perishable and semi-perishable items have also been covered. The present research may assist the food industry professionals, supply chain managers, and academicians in implementing automation and robotics in the food industry.