An Overview of Tourism Supply Chains Management and Optimization Models (TSCM – OM)

Abstract

Around the world tourism industry represents economic benefits to the countries in where the tourist attractions are located. The purpose of this chapter is to search and review recent researches related to the area of tourism under supply chain management and optimization models perspectives. The main aim of this chapter is to identify and discuss how the tourism supply chain is studied when it is subject to different economic, market, and optimization strategies. Considering the period of 2005 to 2016, a systematic review was performed using research studies in the area of tourism supply chain management. The results show that game theory is used as a theoretical base in the majority of the cases, but several novel approaches are also incorporated to the analysis. This review can be used as a complement of the previous works and a valuable information source for the decision makers involved in the tourism area.

Big data analytics capabilities and green supply chain performance: investigating the moderated mediation model for green innovation and technological intensity

“…Supply chain sustainability can be viewed as a source of value creation for customers (Ganji et al, 2022) by increasing the interdependence between the networks of relationships between suppliers and major customers, contributing to achieving financial returns for these firms (Avil es-Gonz alez et al, 2017), and leading to creating new competitive advantages (Ivanov et al, 2017). Several empirical studies such as Feng et al (2022), Kaur et al (2022) and Permatasari et al (2022) examined the importance of supply chain response to disruptions and changes in its external environment, especially in the context of using big data analytics techniques (Friedman and Ormiston, 2022), which offer innovative and new ways to improve supply chain performance (Pawar and Paluri, 2022).…”

“…Supply chain sustainability can be viewed as a source of value creation for customers (Ganji et al. , 2022) by increasing the interdependence between the networks of relationships between suppliers and major customers, contributing to achieving financial returns for these firms (Avilés-González et al. , 2017), and leading to creating new competitive advantages (‏Ivanov et al.…”

Application of rough set and netnography in tourism marketing analysis

“…Panda (2014) described the coordination mechanism of a socially responsible supply chain while any one firm is socially responsible for its stakeholders. Aviles-Gonzalez et al (2016) searched recent reviews of tourism supply chain and studied tourism supply chain models considering different economics, marketing and optimization strategies. In the following, the basic concepts of netnography and RST are reviewed.…”