Eco-innovations and Job Satisfaction: A Moderated Mediation Approach
Alice Falchi (),
Gilles Grolleau,
Naoufel Mzoughi and
Sanja Pekovic
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Alice Falchi: ESSCA Research Lab - ESSCA - ESSCA – École supérieure des sciences commerciales d'Angers = ESSCA Business School
Gilles Grolleau: ESSCA - ESSCA – École supérieure des sciences commerciales d'Angers = ESSCA Business School
Sanja Pekovic: UCG - University of Montenegro
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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 well-being of others, or increased alignment between employees' and company values. We examine empirically the relationship between eco-innovations and job satisfaction on 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 5384 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.
Keywords: eco-innovations; job satisfaction; moderated mediation; structural equation modeling; well-being. (search for similar items in EconPapers)
Date: 2023-12-31
New Economics Papers: this item is included in nep-env and nep-hme
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Published in Journal of Innovation Economics & Management, 2023, Prépublication, pp.I142-XLII. ⟨10.3917/jie.pr1.0142⟩
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Journal Article: Eco-innovations and Job Satisfaction: A Moderated Mediation Approach (2023) 
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04198163
DOI: 10.3917/jie.pr1.0142
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