Applications of Data Envelopment Analysis (DEA) in Empirical Studies Regarding the Croatian Tourism

Author:

Fotova Čiković Katerina1ORCID,Lozić Joško1ORCID,Milković Marin1ORCID

Affiliation:

1. University North, Croatia

Abstract

Tourism is one of the largest and continuously booming economic sectors globally that significantly contributes primarily to GDP, employment, and prosperity. The efficiency of this sector is, therefore, closely researched and investigated by scholars across the globe. Data Envelopment Analysis (DEA henceforward) is one of the leading non-parametric methodologies that evaluates the performance and relative efficiency of complex and homogeneous entities called Decision-Making Units (DMUs). The main aim of this study is to explore, identify and present different applications of DEA in Croatian tourism, which is one of the sectors that contributes the most to the economy. Other goals are to present ten surveyed papers that employ the DEA methodology. To identify the surveyed studies, an extensive literature review has been conducted, and the Scopus, Web of Science, and CROSBI (Croatian Scientific Bibliography) databases have been browsed, with the keywords "DATA ENVELOPMENT ANALYSIS", "TOURISM "and "CROATIA ". Furthermore, the study of Neralić and Gardijan Kedžo (2019) has been used as a foundation of the literature review. The key findings indicate that most of these ten surveyed papers employ the DEA BCC output-oriented model, and most of the analyzed time frame is from 2011 onwards.

Publisher

Institute for Tourism

Subject

Tourism, Leisure and Hospitality Management,Geography, Planning and Development

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3