Practical implications – The tourism companies can use the suggested model as a guide to evaluate their performance in terms of customer and internal dimensions through the value chain perspective. The framework has some implications for both practitioners and researchers. Therefore, it becomes critical to measure and manage the overall efficiency and effectiveness of the tourism product and services from a value chain management perspective. Findings – There is an opportunity to study the tourism industry as a value chain and to develop a value chain oriented performance management and measurement framework that would allow various players to communicate and coordinate their processes and activities in a more mature manner. A value chain performance measurement model for the tourism industry is suggested according to the value chain model developed. Design/methodology/approach – A tourism value chain model with four stages win order, pre-delivery support, delivery, and post-delivery support, is developed. This paper attempts to show the usability of value chain concept in the tourism industry to manage and measure the value chain processes. However, it seems that there is no attempt in the tourism management literature proposing frameworks or models, which can assist the tourism companies, evaluate and control the overall tourism value chain.
Purpose – The tourism industry consists of various players and tourism demand is met by the joint efforts of these players. Accordingly, new approaches to convergence should ensure that executives address the new technology demands to obtain significant gains in efficiency. The study recommends that successful and effective integration will enhance the development of new business models as well as the digital transformation of market corporations. The findings indicated that the integration challenges influencing the effective operations of blockchain, AI, and IoT as a single system involve security, scalability, accountability, and trust of communications. The exploratory research methodology was used in analyzing the issues affecting the integration of blockchain, artificial intelligence (AI), and the internet of things (IoT). This study offers a comprehensive exploratory appraisal of the issues influencing the successful integration of IoT and blockchain in regards to functionality and effectiveness of security, trust, and flawless communication issues. The introduction of the hybrid technique relies on the prediction performance that strives to override the limitations of any available architectural scheme.
The study argued that the recent developments in the field of IoT and blockchain prediction have involved the integration of innumerable classification schemes to establish a hybrid model. The purpose of this study is to appraise the integration or convergence issues influencing the mutual functioning of blockchain, AI, and IoT.