Exploring the Social Impact of the Short-Stay Market (SSM) in Regional Areas: An Empirical Study

Author:

Ndaguba EmekaORCID,Brown Kerry,Marinova Dora,Jogulu Uma

Abstract

AbstractThe discourse on microentrepreneurs and their involvement in the short stay market (SSM) was non-existent until 2008. While several concepts and constructs have been developed and empirically tested since 2009, many of them relate to economics, leaving the social, cultural, and environmental factors underdeveloped. Thus, this study aimed to fill the gap and identify and assess the social impact of the short-stay market (SSM) in a regional area. The study included 16 face-to-face interview sessions conducted with 18 participants, and the Leximancer software was employed to analyse the data. The study revealed that the social impact on SSM is not generic, rather pluralistic, multidimensional, and dynamic. The study also found that the limitation clause instituted by the council is a direct disconnect between the council and property owners/managers. Furthermore, despite ample opportunities provided by the short-stay market (SSM) in regional areas, encumbrances cannot be overlooked. Therefore, there is a need for a comprehensive approach to understand the social impact on policy frameworks in regional areas.

Funder

Edith Cowan University

Publisher

Springer Science and Business Media LLC

Subject

General Social Sciences,Arts and Humanities (miscellaneous)

Reference118 articles.

1. Abdul-Samad, H. 2016. Cities with the least Airbnb legal issues. MASHVISOR. Accessed 31 December, 2018. https://www.mashvisor.com/blog/cities-least-airbnb-legal-issues/.

2. Al-Ababneh, M.M. 2020. Linking ontology, epistemology and research methodology. Science & Philosophy 8 (1): 75–91.

3. Arici, H.E., Cakmakoglu Arıcı, N. and Altinay, L., 2022. The use of big data analytics to discover customers’ perceptions of and satisfaction with green hotel service quality. Current Issues in Tourism, pp.1–19.

4. Aryal, A., Y. Liao, P. Nattuthurai, and B. Li. 2020. The emerging big data analytics and IoT in supply chain management: a systematic review. Supply Chain Management: An International Journal 25 (2): 141–156.

5. Aspebo, P., and L. Kriegel. 2021. Sharing Isn't Caring? A qualitative study focused on how industry incumbents can successfully compete with sharing. Economy Businesses. Inc.

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