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“I Love It” Versus “I Recommend It”: The Impact of Implicit and Explicit Endorsement Styles on Electronic Word-of-Mouth Persuasiveness
No full textInternational audienceConsumers usually endorse tourism products differently when sharing positive electronic word-of-mouth (eWOM). Thisresearch examines the relative persuasiveness of two endorsement styles, that is, explicit endorsement (e.g., ‘‘I recommendit’’) and implicit endorsement (e.g., ‘‘I love it’’). Drawing on the persuasion knowledge model, we propose that explicit endorsements are less persuasive than implicit endorsements because the former trigger stronger persuasion knowledge. We further argue that source trustworthiness mitigates the persuasion effect difference between the two endorsement styles. Thisarticle assesses these hypotheses across different sources (anonymous reviewers, friends, influencers), channels (online community, social commerce platform, social networking app), and products (hotels, restaurants) using secondary data analysis and two experiments. Three studies provide support for our hypotheses. By revealing the relationship between endorsementstyles and eWOM persuasiveness, this article provides important implications for implementing effective product endorsement
Generalized generosity: Lessons from a social and educational organization
No full textInternational audienceWhile the personal and social benefits of generosity have been demonstrated in sociological studies, little is known about the levers and mechanisms of generosity within organizations. This article explores how members of a social and educational organization can participate in the culture of generosity. Based on an analysis of 89 semi-structured interviews with members of five different institutions oriented toward youth education, the authors provide insight into the different ways to contribute to disseminating generosity. Our study reveals how certain managerial practices can be effective levers for developing generalized generosity within an educational organization. We also show that each member of this type of organization is assigned specific roles of giver and receiver to enable their participation in the educational project
The effect of IoT capability on supply chain integration and firm performance: An Empirical study in the UK Retail industry.
No full textInternational audiencePurpose- The purpose of this study is to use empirical data to examine the hierarchical impact of the Internet of Things capability on supply chain integration, supply chain capability and firm performance in the UK retail industry.Design/Methodology/approach-A deductive approach was employed to carry out this research. Structural Equation modelling (SEM) was performed using the Partial Least Square method (SmartPLS 3.3.3) to test theoretical predictions which underlie the relationships among IoTC, SCI, SCC, and firm performance. Data is collected using an online survey completed by senior executives of 66 large, medium, and small firms within the UK retail industry.Findings- The empirical results of this research reveal that IoTC has a significant positive effect on the UK retail industry firm performance through the mediating role of supply chain integration and supply chain capability.Practical Implications- The research results from this study provide useful management insights for firms within the retail industry into the development of effective strategies for integrating their supply chain alongside the adoption of IoTC into supply chain integration, consequently leading to improvements in firm performance.Originality/value- Although previous studies have explored the impact of IoT on firm performance through the sequential mediating role of SCI and SCC, few have explored the impact of the IoT capability on firm performance through sequential mediators, i.e., SCI and SCC. This study examines the relationship between IoT capability, SCI, SCC and FP in the UK retail industry supply chain to address this knowledge gap. Moreover, this study examines the effects ofIoT capability on firm performance by applying PLS-SEM techniques. Testing the sequential mediating role of SCI and SCI is undertaken, and analysing the relationships among IoT-enabled SCI and SCC to improve firm performance. The robustness check's result through PLSpredict analysis also confirms the power of the model proposed in this study
L'éthique en situations: Une recherche-intervention avec les concepteurs d’une IA émotionnelle pour la famille
No full textNational audienceCet article rend compte d’une recherche-action conduite avec les concepteurs d’une IA émotionnelle qui tentaient de s’éloigner du modèle de capture des technologies affectives. Un tel déplacement implique de rattacher une approche critique et des pratiques d’intervention. Saisir et faire agir forment un couple qui vient compléter une éthique des devoirs ou des conséquences, non plus en aidant les concepteurs à arbitrer entre des principes ou des calculs, mais en leur offrant de repartir de leurs expériences, et celles de leurs usagers, pour concevoir une innovation socialement désirable. Cette promesse est rendue possible par une éthique en situations, un cadrage opérationnel permettant de saisir, par la voie d’une ethnographie sensible, ce qui est à disposition dans les situations vécues par les usagers et par les concepteurs ; de mettre à leur disposition, par des approches participatives, des objets intermédiaires facilitant la transition vers des imaginaires autres ; et de se tenir à disposition pour des médiations nouvelles, en s’appuyant sur des méthodes créatives et projectives
Hope for the Environment : Influence of Goal and Temporal Focus of Emotions on Behavior
No full textInternational audienceAlthough positive emotions generally influence pro-environmental behaviors positively, this is not always the case. Across one correlational and two experimental studies, we address this issue by investigating the temporal dimension of pro-environmental actions and how emotions can affect them. In the first study, we focused on the temporal dilemma behind pro-environmental behaviors, confirming the importance of “thinking about the future of the planet” for the adoption of various pro-environmental behaviors. In the second study, we examined the effect of eliciting positive emotions and the mediating role of the temporal focus induced by emotion. In this second study, we observed the superior effectiveness of eliciting future positive emotions (hope) compared with present positive emotions (amusement) in the adoption of pro-environmental behaviors. Finally, in a third study, we distinguished between integral and incidental hope, showing that the effect on pro-environmental behaviors is the strongest when hope is experienced about the future of the planet compared with when there is a general unspecific hope. Overall, our findings show the importance of investigating the unique effect of positive emotions, providing clear indications for practitioners about the beneficial effect of integral hope in the environmental context
Virtual influencers and data privacy: Introducing the multi-privacy paradox
No full textInternational audienceVirtual influencers have a growing presence in social media, reshaping the traditional interactions between influencers and followers. Through an interdisciplinary orientation, we assess the implications of this phenomenon for data privacy. Specifically, we argue that, given that the virtual influencer is not a human being, an unbalanced privacy risk arises from 2 possible data vulnerability, cybercrime, and the creation of fake profiles. We explore these risks through a qualitative exploratory study with 28 followers of virtual influencers. Our work culminates with a conceptual framework that highlights what we define as a multiprivacy paradox. We offer actionable ways for organizations to manage privacy and protect consumers dealing with virtual influencers in the metaverse
Digital media, democracy and civil society in Central and Eastern Europe
No full textInternational audienceCEE countries faced significant political, economic, social, and technological transformations over the last four decades. Democratic processes, after relative stabilisation, tremble again around polarizing values, populist leaders, or nationalistic ideologies. Online communication, especially social media platforms, play a vital role in shaping how citizens interact with the state, political actors, media, and other citizens. The collection of manuscripts focuses on some of the challenges democratic institutions in the region face, in transforming and sustaining civil society and attempts to capture how the digital media environments mitigate or exacerbate those challenges. Included manuscripts focus on the role that online platforms play in the satisfaction with democracy in the CEE region, the interactions between journalists and political actors, the strategic media coverage of elections, affective polarisation and political antagonism, and discursive attempts to discourage young people from civic engagement
Foreign ownership and bribery in Chinese listed firms: An institutional perspective
No full textInternational audienceWhile financial globalization serves to diffuse positive corporate practices worldwide, there remains a scarcity of studies investigating the potential of foreign ownership in alleviating corporate bribery-a pervasive illegal practice in emerging markets. This study, rooted in institutional theory, examines how foreign ownership affects corporate bribery expenditures in emerging markets, incorporating crucial factors that encapsulate local regulatory, normative, and cognitive pressures. Leveraging longitudinal panel data on Chinese listed firms, our findings reveal that foreign ownership significantly reduces corporate bribery expenditures, underscoring the disciplining role of foreign investors. Moreover, such effect is weakened by regional corruption and regional gambling prevalence, yet amplified by the overseas experience of top executives. These findings yield insights into how international investors affect bribery in investee firms, considering the intricate fabric of local institutional contexts
From black gold to financial fallout: Analyzing extreme risk spillovers in oil-exporting nations
No full textInternational audienceConsidering various critical periods including the COVID-19 pandemic and the ongoing Russian-Ukraine war, this paper investigates the dynamics of extreme spillover effects from the crude oil market to the financial markets of major oil-exporting countries. With the increased integration of global financial systems, oil market fluctuations can have far-reaching implications for economies that are heavily reliant on oil exports. We employ a wavelet approach to explore the co-movement and lead-lag relationships between the oil market and the financial markets of the considered countries. Next, we follow the newly introduced frequency-based connectedness approach of Hanif et al. (2023) to explore the dynamic connectedness and risk transmission among these markets. First, results from the wavelet coherency technique show that the degree of co-movement during the Russia-Ukraine war was significantly lower than it was under both the pre-crises and COVID-19 pandemic periods as shown by fewer regions with warmer colors (red), which show significant dependence at the 5% level, especially for Canada. Secondly, the dynamic connectedness of these markets was largely driven by long-term dynamics during the Russia-Ukraine crisis period, unlike the short-term driven connectedness observed during the COVID-19 pandemic. The average degree of connectedness at high frequencies (short-term) forms a smaller proportion of the average level of connectedness at low frequencies (long-term), indicating a stronger long-term influence of the crisis on the interconnectedness of these markets. Additionally, we find that Canada and the United States were the major net transmitters of shocks to the network during the conflict period, while Iraq exhibited the strongest level of idiosyncratic shocks. Interestingly, the crude oil market was observed to send stronger shocks to the network at the onset of the war, with the impact gradually diminishing as the conflict progressed. Our study provides valuable insights for policymakers and investors as a guide toward more informed decision-making and appropriate risk management strategies in the face of oil price volatility in these regions.Considering various critical periods including the COVID-19 pandemic and the ongoing Russian–Ukraine war, this paper investigates the dynamics of extreme spillover effects from the crude oil market to the financial markets of major oil-exporting countries. With the increased integration of global financial systems, oil market fluctuations can have far-reaching implications for economies that are heavily reliant on oil exports. We employ a wavelet approach to explore the co-movement and lead–lag relationships between the oil market and the financial markets of the considered countries. Next, we follow the newly introduced frequency-based connectedness approach of Hanif et al. (2023) to explore the dynamic connectedness and risk transmission among these markets. First, results from the wavelet coherency technique show that the degree of co-movement during the Russia–Ukraine war was significantly lower than it was under both the pre-crises and COVID-19 pandemic periods as shown by fewer regions with warmer colors (red), which show significant dependence at the 5% level, especially for Canada. Secondly, the dynamic connectedness of these markets was largely driven by long-term dynamics during the Russia–Ukraine crisis period, unlike the short-term driven connectedness observed during the COVID-19 pandemic. The average degree of connectedness at high frequencies (short-term) forms a smaller proportion of the average level of connectedness at low frequencies (long-term), indicating a stronger long-term influence of the crisis on the interconnectedness of these markets. Additionally, we find that Canada and the United States were the major net transmitters of shocks to the network during the conflict period, while Iraq exhibited the strongest level of idiosyncratic shocks. Interestingly, the crude oil market was observed to send stronger shocks to the network at the onset of the war, with the impact gradually diminishing as the conflict progressed. Our study provides valuable insights for policymakers and investors as a guide towards more informed decision-making and appropriate risk management strategies in the face of oil price volatility in these regions
Artificial intelligence in logistics and supply chain management: A primer and roadmap for research.
No full textInternational audienceThe dawn of generative artificial intelligence (AI) has the potential to transform logistics and supply chain management radically. However, this promising innovation is met with a scholarly discourse grappling with an interplay between the promising capabilities and potential drawbacks. This conversation frequently includes dystopian forecasts of mass unemployment and detrimental repercussions concerning academic research integrity. Despite the current hype, existing research exploring the intersection between AI and the logistics and supply chain management (L&SCM) sector remains limited. Therefore, this editorial seeks to fill this void, synthesizing the potential applications of AI within the L&SCM domain alongside an analysis of the implementation challenges. In doing so, we propose a robust research framework as a primer and roadmap for future research. This will give researchers and organizations comprehensive insights and strategies to navigate the complex yet promising landscape of AI integration within the L&SCM domain