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Purpose Despite the continued focus on online sharing through social media, little consumer research has looked at this behavior as an independent construct or tried to determine how it relates to other consumer behaviors. Consequently, this study aims to explore the concept of social media sharing disposition (SMSD), proposes a measure of the construct, and, in five studies, assesses its reliability and validity and its relationship to other online and offline consumer behaviors. Design/methodology/approach Five studies using surveys were carried out to assess the SMSD construct. The studies gathered data to assess the properties and validities of SMSD, as well as its ability to assess offline and online sharing behavior. Findings The results indicate that SMSD is a useful construct that helps to explain people’s social media and offline sharing behavior, although its focus is primarily on social media sharing. It also displays convergent, discriminant and predictive validity. These results indicate that SMSD can be used to predict the likelihood of consumers sharing online information. They also confirm that SMSD works effectively in different cultural contexts. SMSD can also be used to assess consumer offline sharing behavior. Research limitations/implications There was neither an investigation of actual differences in behaviors among consumers in the number of posts or online reviews they undertook, based on SMSD, nor a study of whether individuals are more likely to incorporate brand information into their posts. Future research could explore these behaviors to determine whether they can be explained by SMSD. There was also no focus on a rationale for engaging in social media sharing; that is, there are no proposed antecedents of SMSD. Additional studies could assess antecedents of this construct. Practical implications Marketers interested in engaging consumers as participants in the dissemination of online (electronic) information can segment and target consumers on the basis of SMSD. Therefore, it can be used to determine who should be targeted with information to disperse to other consumers. It is likely that there is a relationship between SMSD and social media influencer (SMI) activity, so it could also be used to identify SMIs among consumer bases. It can also be adapted and applied to understanding offline sharing behavior. Originality/value The paper reports on SMSD and establishes that it is an additional construct that can help explain consumer information sharing. The construct relates to a social media context, where it may be increasingly difficult to identify consumers who engage in differential sharing of digital information.

Artificial Intelligence AI is increasingly becoming a foundation of competitive planning for contemporary organizations. However, even though the implementation of AI in organizations is a critical intervention that can unlock new forms of value, many of these implementations do not meet the expected outcomes. They may result in substantial financial, operational, and reputational negative consequences. This systematic literature review starts with a sample of 3104 articles from well-reputed journals published between 2010-2024. It aims to examine several questions that surround the occurrence of AI failure in organizations: the reasons behind those failures, the categories of the failures, and the disciplinary areas of the failures. Moreover, customers', employees', and management's points of view are considered in the review to extrapolate the potential consequences of the failure of AI systems. The result demonstrates that the AI breakdown often results from a mixture of technology, organization, and people problems and that different industries exhibit diverce types of failures.

Social media influencers (SMI) are considered effective marketing weapons that firms increasingly use to endorse their products and brands. However, with the enormous diversity of social media and the multiplicity of SMI, marketers need to understand how to choose the right SMI on the right social media for a specific product or brand. This study aims to improve understanding of the influence of SMI followers' behaviors by studying how parasocial relationship (PSR) interacts with SMI's expertise for products with different levels of involvement to impact consumers' behaviors. The authors proposed a three-hypotheses (nine sub-hypotheses) model that was tested via a scenarios-based survey. Data was collected from 1230 Instagram users living in Qatar. These results confirm the importance of PSR, SMI's perceived expertise, and product involvement in predicting the effectiveness of an SMI endorsement. They also highlight the need to consider the different interactions between these three variables.

This paper focuses on the consumption experience of a cosmetics box issued from subscription-based e-commerce. On the basis of a netnographic analysis of videos and comments on YouTube, we highlight that the value typology developed by Holbrook (1999) applies to that new form of e-commerce and consumption experience.

This study investigates the impact of innovation on job satisfaction in retail networks. We test hypotheses about the effects of three different forms of innovation-organizational, process, and product-on store managers' job satisfaction. Using the partial least squares method to analyze data from a survey of 95 stores in retail networks located in Tunisia, we find that only organizational innovation is positively related to store managers' job satisfaction. The paper provides new understanding about innovation management and its consequences for retailing in Tunisia.

La présente étude a comme objectif d’analyser l’impact de l’innovation sur la satisfaction du travail dans les réseaux commerciaux. En particulier, nous testons des hypothèses sur l’effet de trois formes d’innovation (organisationnelle, procédé et produit) sur la satisfaction des gérants des points de ventes appartenant aux réseaux de distribution. L’analyse des données collectées auprès de 95 points de ventes appartenant aux réseaux de distribution implantés en Tunisie, moyennant la méthode PLS ( Partial Least Squares ), montre que seulement l’innovation organisationnelle qui affecte positivement la satisfaction des gérants des points de ventes. Ceci constitue une contribution à la compréhension de la gestion de l’innovation et ses conséquences dans le secteur de la distribution en Tunisie. This study investigates the impact of innovation on job satisfaction in retail networks. We test hypotheses about the effects of three different forms of innovation—organizational, process, and product—on store managers’ job satisfaction. Using the partial least squares method to analyze data from a survey of 95 stores in retail networks located in Tunisia, we f ind that only organizational innovation is positively related to store managers’ job satisfaction. The paper provides new understanding about innovation management and its consequences for retailing in Tunisia.

La présente étude a comme objectif d’analyser l’impact de l’innovation sur la satisfaction du travail dans les réseaux commerciaux. En particulier, nous testons des hypothèses sur l’effet de trois formes d’innovation (organisationnelle, procédé et produit) sur la satisfaction des gérants des points de ventes appartenant aux réseaux de distribution. L’analyse des données collectées auprès de 95 points de ventes appartenant aux réseaux de distribution implantés en Tunisie, moyennant la méthode PLS ( Partial Least Squares ), montre que seulement l’innovation organisationnelle qui affecte positivement la satisfaction des gérants des points de ventes. Ceci constitue une contribution à la compréhension de la gestion de l’innovation et ses conséquences dans le secteur de la distribution en Tunisie.

La présente étude a comme objectif d'analyser l'impact de l'innovation sur la satisfaction du travail dans les réseaux commerciaux. En particulier, les auteurs testent des hypothèses sur l'effet de trois formes d'innovation (organisationnelle, procédé et produit) sur la satisfaction des gérants des points de ventes appartenant aux réseaux de distribution. L'analyse des données collectées auprès de 95 points de ventes appartenant aux réseaux de distribution implantés en Tunisie, moyennant la méthode PLS (Partial Least Squares), montre que seulement l'innovation organisationnelle qui affecte positivement la satisfaction des gérants des points de ventes. Ceci constitue une contribution à la compréhension de la gestion de l'innovation et ses conséquences dans le secteur de la distribution en Tunisie. Document de fond avec quelques données chiffrées. Article en anglais. Pas de chiffres.

This chapter aims to identify the factors in decision making for accepting e-ticketing by Tunisian individuals. Based on constructs from the technology acceptance model, a model is developed for studying consumers' acceptance towards e-ticketing system of a national air travel company. The travelers' intention to purchase e-tickets is chosen as dependent variable in the model. The several variables in the model are then identified and operationalized according to previous research. Data were collected among air travel potential customers in Tunisia through survey, and are analyzed using regression analysis. The findings are discussed with regard to limitations of the study and managerial insights are addressed.