Digitalization level, corruptive practices, and location choice in the hotel industry
Ana M. Romero-Martínez and
Fernando E. García-Muiña
Journal of Business Research, 2021, vol. 136, issue C, 176-185
Abstract:
Based on institutional and agency theories, this paper examines the role of host corruptive practices on country choice for the hotel industry, as well as the power of digitalization as an anti-corruption tool. Digitalization level can boost transparency and can help monitor corruptive practices and other unethical behaviours. Relying on data from the Spanish hotel industry, the results confirm that the existence of corruptive or weak institutions has a significant impact on country choice, while a high digitalization level reduces the possibility of corruptive practices. We contribute by analysing the precise effect of host corruptive practices on country choice and the powerful effect of digitalization level as an anti-corruption instrument. This study is particularly interesting for the hotel industry, as a service sector, where multinationals need to carry out most of activities in the host country and maintain close interactions with foreign agents.
Keywords: Corruption; Corruptive practices; Digitalization level; Location choice; Service industry; Hotel industry (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296321005154
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:136:y:2021:i:c:p:176-185
DOI: 10.1016/j.jbusres.2021.07.032
Access Statistics for this article
Journal of Business Research is currently edited by A. G. Woodside
More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().