Determinants of employees' innovative behavior. Issue 3 (19th March 2018)

• Record Type: Journal Article
• Authors: Bani-Melhem, Shaker; Zeffane, Rachid; Albaity, Mohamed
• Is Part Of: International journal of contemporary hospitality management. Volume 30:Issue 3(2018)
• Page Start: 1601
• Page End: 1620
• Publication Date: 2018-03-19
• Subjects: United Arab Emirates -- Job stress -- Innovative behavior -- Coworker support -- Hotels sector -- Workplace happiness; Hospitality industry -- Management -- Periodicals; 647.94068
• DOI: 10.1108/IJCHM-02-2017-0079
• Languages: English
• ISSNs: 0959-6119

Abstract

Abstract : Purpose: This study aims to examine the impact of workplace happiness, coworker support and job stress on employee innovative behavior. The mediating effects of coworker support and job stress are also explored. Design/methodology/approach: The study uses survey data from 328 employees from different departments in four- and five-star hotels in the United Arab Emirates (UAE). Based on an extensive literature review, five main hypotheses were formulated and explored. These were tested through multiple regression analysis using the SPSS Process Macro plugin. Findings: Workplace happiness is the most significant determinant of employees' innovative behavior, while coworker support plays a significant mediating role. Contrary to the study hypothesis and assumption, job stress alone is not a significant mediator; it only plays a mediating role when combined with coworker support. Research limitations/implications: The sample is from a single sector (hotels) in a single country. Future research would benefit from examining the above relationships in other sectors (such as health and education) in the UAE. It could also explore the validity of these relationships in the tourism/hotels sector of other countries in the Middle East and Gulf regions. Originality/value: Few studies have attempted to investigate factors that may promote or impede innovative behavior among employees in the hotels sector, particularly in the UAE. The data, model and findings of this study address this gap and add to the current state of knowledge.