EconPapers    
Economics at your fingertips  
 

Tourism-industrial atmosphere and executive change: How can they impact firms? - A mixed context analysis study

Hui Li and Xi-Zhuo Chen

Annals of Tourism Research, 2024, vol. 109, issue C

Abstract: The current context-turnover paradigm offers a theoretical understanding related to the influence of executive turnover, emphasizing the significance of the internal and physical factors. However, there is a lack of well-theorized and empirical evidence regarding the role of industrial atmosphere. We argue that tourism firms can time executive turnover to optimize its influence by referring to event-atmosphere context. We propose a context analytic approach to comprehensively investigate the aforementioned impacts, shaping an industrial context-turnover theory. Tourism firm performance after executive turnover is significantly moderated by the competitive and seasonal context of the tourism industry. Involuntary executive turnovers are particularly affected, compared to voluntary ones. Tourism-industrial atmosphere contributes significantly to foresee the consequence, and event-driven context forecasting accurately estimates the outcome.

Keywords: Tourism firm value; Tourism corporate governance; Context-emergent turnover theory; Context forecasting; Event study approach; Artificial intelligence (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0160738324001245
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:anture:v:109:y:2024:i:c:s0160738324001245

DOI: 10.1016/j.annals.2024.103847

Access Statistics for this article

Annals of Tourism Research is currently edited by John Tribe

More articles in Annals of Tourism Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:anture:v:109:y:2024:i:c:s0160738324001245