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Eco-innovations and Job Satisfaction: A Moderated Mediation Approach

Author

Listed:
  • Alice Falchi
  • Gilles Grolleau
  • Naoufel Mzoughi
  • Sanja Pekovic
Abstract
Does adopting eco-innovations lead to more satisfied employees? Eco-innovations have the potential to enhance (and sometimes decrease) the job satisfaction of employees for several reasons, such as their positive effects on performances and wages, contribution to the wellbeing of others, or increased alignment between employee and company values. We examine empirically the relationship between eco-innovations and job satisfaction in a large number of observations using a moderated mediation model. We posit that the effect of adopting eco-innovations is mediated by job recognition, while the effect of the latter is moderated by job insecurity. Our structural equation modeling findings based on a sample of 5,384 respondents show that (i) eco-innovations do not directly lead to increased job satisfaction, (ii) job recognition mediates positively the relationship between the adoption of eco-innovations and job satisfaction, and (iii) job insecurity moderates negatively the positive mediating effect between the adoption of eco-innovations and job satisfaction. JEL Codes: J28, Q59

Suggested Citation

  • Alice Falchi & Gilles Grolleau & Naoufel Mzoughi & Sanja Pekovic, 2023. "Eco-innovations and Job Satisfaction: A Moderated Mediation Approach," Journal of Innovation Economics, De Boeck Université, vol. 0(3), pages 185-199.
    • Handle: RePEc:cai:jiedbu:jie_pr1_0142
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Eco-innovations; Job Satisfaction; Moderated Mediation; Structural Equation Modeling; Wellbeing;
    All these keywords.

    JEL classification:

    • J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy
    • Q59 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Other

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