Modélisation probabiliste de l'influence des émotions sur l'acceptabilité des innovations

Abstract : In response to a high failure rate in innovation projects, being able to anticipate and explain an innovation’s acceptance before its development is an interesting yet differentiating asset for companies. To some extent, acceptance models proposed in the literature allow identifying factors that have a significant influence on the intentions to use innovations. The latest extensions of these pioneer models show an increasing importance in considering the role of affects in the acceptance of innovations. However, these models propose a relatively disparate and unstructured conceptualization of emotional dimensions. In response to this issue, the objective of this work is to propose a framework for studying the relationships between emotions and acceptance of innovations. First, studies 1, 2 and 3 will demonstrate how innovations are perceived as complex and how this could be detrimental to their adoption. We will show that this effect is however qualified when taking the attitude towards innovation into account. Second, studies 4, 5, 6 and 7 will allow us to study precisely the relationships between emotional components and acceptance. Finally, an integrative analysis of some of the results is carried out in order to propose a probabilistic model of the relationships between emotion and acceptance. This model, named Eminosa®, offers three new possibilities: inferring the subjective experiences that an innovation generates by measuring cognitive appraisals, inferring cognitive appraisals by measuring subjective experiences, and finally inferring the acceptance of an innovation by measuring cognitive appraisals or subjective experiences. The implications of the model for the scientific literature and for the application perspectives in terms of innovation support will give rise to a set of recommendations.
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Florian Loeser. Modélisation probabiliste de l'influence des émotions sur l'acceptabilité des innovations. Psychologie. Université Grenoble Alpes, 2019. Français. ⟨NNT : 2019GREAH003⟩. ⟨tel-02295284⟩

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