Determining Interrelationship Between Factors Impacting Foreign Direct Investment in Tourism: An ISM-based Approach

Anjali Gupta, S. Gupta, Shekhar
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引用次数: 4

Abstract

The burgeoning spectrum of tourist demand and changing tastes and preferences calls for developing the nation’s tourism profile. India, one of the fastest-growing economies and a potential attractor of tourists, is estimated to be the world’s third-largest tourism economy by 2028 (as per World Tourism and Travel Council [WTTC] estimates) and is expected to draw massive investment in this sector. Thus, the present study aims to analyse various factors impacting foreign flows in the tourism sector and develops a hierarchical structure among the identified factors through the interpretive structural modelling (ISM) technique. A MICMAC (Matrix of Cross-Impact Multiplications Applied to Classification) analysis is performed to categorise the identified factors based on the driving power and dependence level. The interrelationships among the variables were derived from the opinion gardened from 50 research and industry experts. The results showed that political stability plays a critical component in driving other variables in the system. Also, a stable system is likely to impact the economic environment of a nation positively, thus, creating a desirable profile for investors to invest in tourism businesses or the development of destinations.
旅游外商直接投资影响因素的相互关系分析:基于ism的方法
不断增长的旅游需求和不断变化的品味和偏好要求发展国家的旅游形象。印度是增长最快的经济体之一,也是潜在的游客吸引国,预计到2028年将成为世界第三大旅游经济体(根据世界旅游和旅行理事会[WTTC]的估计),预计将在该领域吸引大量投资。因此,本研究旨在分析影响旅游部门外国流量的各种因素,并通过解释结构建模(ISM)技术在确定的因素之间建立层次结构。一个MICMAC(交叉影响乘法应用于分类的矩阵)分析进行分类识别的因素基于驱动功率和依赖程度。变量之间的相互关系是从50位研究和行业专家的意见中得出的。结果表明,政治稳定在驱动系统中其他变量方面起着关键作用。此外,稳定的制度可能会对一个国家的经济环境产生积极的影响,从而为投资者投资旅游事业或开发目的地创造理想的形象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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