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The purpose of this study is to evaluate a bidimensional tool to measure overall service satisfaction: the evaluative space grid (GRID scale). The GRID scale provides a common measure for both positivity and negativity through 25 grid cells. The authors propose to use the GRID scale as an integrated measure of both satisfaction and dissatisfaction to capture mixed reactions or ambivalence.

Within a cross-sectional between-subjects survey design, this study compares overall satisfaction with bank services as measured on the GRID scale versus a traditional semantic differential (SD) scale.

The results show that the GRID scale performs as well as the SD scale with respect to different criteria, such as reliability and discriminant, convergent, nomological and predictive validity. However, it allows to measure separately indifference and ambivalence.

Such a distinction assists decision-makers with recommendations on different strategies not only to create customer loyalty based on satisfaction but also to encourage them to think how to decrease the levels of dissatisfaction and ambivalence.

The GRID scale would address survey needs of every business suffering from average performances. This tool provides them better in-depth overall satisfaction information, especially regarding the “middle-ground” customers.

Prior research has advanced several explanations for social media influencers' (SMIs’) success in the burgeoning computer-mediated marketing environments but leaves one key topic unexplored: the moderating role of SMIs in service failure and recovery strategies.

Drawing on a social constructivist perspective and an inductive approach, 59 in-depth interviews were conducted with millennials from three European countries (Italy, France and the United Kingdom). Building on social influence theory and commitment-trust theory, this study conceptualises four distinct pathways unifying SMIs' efforts in the service failure recovery process.

The emergent model illustrates how source credibility and message content moderate service failure severity and speed of recovery. The insights gained from this study model contribute to research on the pivotal uniqueness of SMIs in service failure recovery processes and offer practical explanations of variations in the implementation of influencer marketing. This study examines a perspective of SMIs that considers the cycle of their influence on customers through service failure and recovery.

The study suggests that negative reactions towards service failure and recovery are reduced if customers have a relationship with influencers prior to the service failure and recovery compared with the reactions of customers who do not have a relationship with the influencer.