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1.
Integration of travel agencies with other supply chain members
Darja Topolšek, Dejan Dragan, 2016, original scientific article

Abstract: The performance of tourism supply chains depends on the efficiency of all members involved, including the travel agencies. The paper addresses the analysis of relationships between the agencies' external integration with other supply chain members on one side, and the efficiency of the agencies on the other. The data envelopment analysis is applied for the estimation of efficiencies, while the structural equation modelling (SEM) is conducted for identification of possible integration impacts on the efficiency. Results show that integration with other supply chain members indeed has some positive impacts on the agencies' efficiency. Also, the developed SEM model implies that in-depth forms of collaboration would enable more effective exploitation of the identified relations between the integration and efficiency of the agencies. This finding could be an important guideline for the agencies' management in the sense of achieving more satisfied customers and bigger profits, as well as reduced operational costs.
Keywords: tourism sector, supply chains, structural equation modeling, external integration, efficiency, travel agencies, logistics
Published: 03.04.2017; Views: 265; Downloads: 46
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2.
Tourism sector, travel agencies, and transport suppliers
Nataša Kovačić, Darja Topolšek, Dejan Dragan, 2015, original scientific article

Abstract: The paper addresses the effect of external integration (EI) with transport suppliers on the efficiency of travel agencies in the tourism sector supply chains. The main aim is the comparison of different estimation methods used in the structural equation modeling (SEM), applied to discover possible relationships between EIs and efficiencies. The latter are calculated by the means of data envelopment analysis (DEA). While designing the structural equation model, the exploratory and confirmatory factor analyses are also used as preliminary statistical procedures. For the estimation of parameters of SEM model, three different methods are explained, analyzed and compared: maximum likelihood (ML) method, Bayesian Markov Chain Monte Carlo (BMCMC) method, and unweighted least squares (ULS) method. The study reveals that all estimation methods calculate comparable estimated parameters. The results also give an evidence of good model fit performance. Besides, the research confirms that the amplified external integration with transport providers leads to increased efficiency of travel agencies, which might be a very interesting finding for the operational management.
Keywords: tourism sector, structural equation modeling, estimation methods, external integration, efficiency, travel agencies, logistics
Published: 03.04.2017; Views: 346; Downloads: 90
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