The effects of industrial trends, diversification strategy and corporate policies on the operating performance of international tourist hotels

Lou, Chen-Chi; Lee, Tian–Shyug; Wang, Yen–Chen

doi:10.1504/ijltm.2012.046444

Cited by 1 publication

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“…Historical examples are the visitations of French wine and chocolate factories, Greek shoe producers and Dutch malt and cheese producers. Since 1900s, tourists and residents of Paris had the opportunity to elect different tours (Lou et al , 2012). The tours include the visitations of textile factories to mortuaries and slaughterhouses.…”

Section: Industrial Tourismmentioning

confidence: 99%

Analysis of an industrial tourism business network using social network approach: the case of Isfahan, Iran

Saghafi

Jalilvand

Ahmadiyeh

et al. 2023

JIMA

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Purpose Industrial tourists can contribute to the local sites income. Apart from large and well-known industrial units, small industrial units can also introduce their products to the market by organizing tourism tours. This study aims to analyze an industrial tourism business network established in Isfahan, a large, industrial and historic city in central of Iran, as a case study. Design/methodology/approach Participants were managers and experts of organizations operated in the Industrial Tourism Network in Isfahan city. A sample of 30 participates was selected through purposive and snowball sampling approaches. Data was analyzed by qualitative content analysis and social network analysis using UCINET software. Findings Twenty-eight organizations participated in the Industrial Tourism Business Network of Isfahan. Macro indices of the network revealed that: density is relatively low; most of the relationships among network member organizations are reciprocal; transitivity is relatively weak indicating low network stability against environmental player; clustering is low, indicating a relatively low tendency of members to form different clusters. Micro indices indicated that in-degree and out-degree centralizations are low; overall centralization is poor. In addition, six actors were in the center and 22 actors were in the peripheral. Finally, the number of interactions of central organizations was triple than the peripheral organizations. Research limitations/implications Limitations of this study include: The data obtained in this study only reflected the relationships among the actors studied during a specific period of time; this paper only focused on actors engaged in an industrial tourism network. Therefore, the sample might involve some bias. The results of the study contribute to our understanding of the role of networking in tourism destinations, particularly industrial sites. Practical implications According to the results, the authors may be able to advise firms operating in the tourism industry, particularly actors operate in industrial tourism, regarding how to increase their collaboration with both internal and external environment to achieve better performance. Originality/value To the best of the authors’ knowledge, this is the first paper that has addressed an industrial tourism business network.

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Section: Industrial Tourismmentioning

confidence: 99%