Motivation among travel agents in India: The moderating role of employee’s expertise and marital status

  • Received May 13, 2020;
    Accepted June 19, 2020;
    Published July 3, 2020
  • Author(s)
  • DOI
    http://dx.doi.org/10.21511/ppm.18(2).2020.37
  • Article Info
    Volume 18 2020, Issue #2, pp. 453-465
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This work is licensed under a Creative Commons Attribution 4.0 International License

This study contributes to the literature by offering insights over the relationship between job satisfaction and work stress with employees’ motivation among travel agencies in India. The paper aims to determine the impact of job satisfaction and work stress on employees’ motivation level with a specific focus on the moderating impact of employees’ expertise and marital status in the context of travel agencies in Southern India. A survey was conducted over employees of travel agencies in Southern India by adopting scales from the extant studies, and data were analyzed using structural equation modeling through Smart PLS. The outcome of the study reveals that job satisfaction has a strong significant effect on employees’ motivation, unlike work stress and employees’ expertise has a partial significant moderating effect on the relationship between work stress and motivation. The study stressed much about the combined effects of the mediators. The present study has tested the new composite scale to measure the overall motivational level, unlike the previous studies. The survey was conducted between November 2019 and December 2019 and entails 164 respondents, the majority of the subjects are millennials between 18 and 35 years, with 43.3% having master’s degree, all were found to be pre-qualified for the investigation.

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    • Figure 1. Hypothetical framework
    • Table 1. Summary of socio-demographic characteristics of respondents
    • Table 2. Constructs, definition, and their sources
    • Table 3. Factor loadings, construct reliability, and validity
    • Table 4. Test of discriminant validity – Fornell-Larcke’s criterion
    • Table 5. Path coefficient: Direct and Indirect relationship
    • Conceptualization
      Sandeep Kumar Dey, Khurram Ajaz Khan
    • Data curation
      Sandeep Kumar Dey
    • Formal Analysis
      Sandeep Kumar Dey, Khurram Ajaz Khan, Zuzana Tučkova
    • Investigation
      Sandeep Kumar Dey, Khurram Ajaz Khan, Zuzana Tučkova, Abdul Bashiru Jibril
    • Methodology
      Sandeep Kumar Dey, Khurram Ajaz Khan, Abdul Bashiru Jibril
    • Project administration
      Sandeep Kumar Dey, Khurram Ajaz Khan, Zuzana Tučkova, Abdul Bashiru Jibril
    • Validation
      Sandeep Kumar Dey
    • Visualization
      Sandeep Kumar Dey, Khurram Ajaz Khan, Abdul Bashiru Jibril
    • Writing – original draft
      Sandeep Kumar Dey
    • Writing – review & editing
      Sandeep Kumar Dey, Khurram Ajaz Khan, Abdul Bashiru Jibril
    • Funding acquisition
      Zuzana Tučkova
    • Resources
      Zuzana Tučkova
    • Supervision
      Zuzana Tučkova
    • Software
      Abdul Bashiru Jibril