Li, Z., Stamolampros, P. orcid.org/0000-0001-8143-7244 and Zhao, X. (2024) Dynamics in the asymmetric effects of job attributes on employee satisfaction: A mixed-method approach using big data Tourism Management. Tourism Management, 105. 104967. ISSN 0261-5177
Abstract
Given its direct influence on customer satisfaction and firm profitability, employee satisfaction has attracted much attention from scholars in the hospitality industry. However, the moderating variables that shape the asymmetric relationship between job attributes and employee satisfaction remain largely unexplored. We aim to fill this gap by considering the influence of employee position and organizational tenure on the relationship. We reveal the asymmetric relationships between employee satisfaction and various job attributes by performing an impact-asymmetry analysis and using a hybrid approach that integrates the big textual data from online reviews written by employees. Our results highlight some differences between managers and non-managers, with the former giving priority to organizational culture and work environment and the latter setting high expectations on employee benefits. These results also underscore the dynamic effect of organizational tenure on the aforementioned asymmetric relationships. Our empirical findings can guide managers in the hospitality industry in designing targeted strategies that can effectively maximize the satisfaction of their employees.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 Elsevier Ltd. All rights reserved. This is an author produced version of an article published in Tourism Management made available under the CC-BY-NC-ND 4.0 license (http://creativecommons.org/licenses/by-nc-nd/4.0) in accordance with the publisher's self-archiving policy. |
Keywords: | Employee satisfaction; Three-factor theory; Employee online reviews; Employee position; Organizational tenure; Impact-asymmetry analysis |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Management Division (LUBS) (Leeds) > Management Division Decision Research (LUBS) |
Depositing User: | Symplectic Publications |
Date Deposited: | 02 Aug 2024 14:14 |
Last Modified: | 02 Aug 2024 14:14 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.tourman.2024.104967 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:212441 |
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