comparison of different estimators in the structural equation modeling
Nataša Kovačić (Author), Darja Topolšek (Author), Dejan Dragan (Author)

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;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UM FL - Faculty of Logistics
UDC: 338.48
COBISS: 512729661 Link will open in a new window
ISSN: 2232-4968
Views: 820
Downloads: 154
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: Slovenian
Secondary keywords: turistični sektor;modeliranje strukturnih enačb;metode ocenjevanja;eksterna integracija;učinkovitost;turistične agencije;logistika;
URN: URN:SI:UM:
Type (COBISS): Scientific work
Pages: str. 11-24
Volume: ǂVol. ǂ6
Issue: ǂiss. ǂ1
Chronology: 2015
DOI: 0.1515/jlst-2015-0007
ID: 9599388
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