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FNEGE 3, HCERES C; International audience; The contagious nature of COVID-19 has enhanced the use of digital technologies, such as contactless payment solutions, to help individuals avoid physical contact with people or objects and limit the possibility of contamination. This study seeks to understand the factors enabling contactless payment adoption during COVID-19 in relation to changes in lifestyle and health safety reasons. Although several researchers have investigated this subject, there is still a gap in explaining acceptance. To address this gap, this study applies the unified theory of acceptance and technology use extended with contamination avoidance, compatibility, trust, and intention to Recommend as model outcomes. Data were collected from a sample of 202 respondents in Asia and Europe and analyzed using the SEM-PLS approach. Our findings confirm the importance of compatibility and contamination avoidance and highlight the importance of habit for European users.

National audience

FNEGE 2, HCERES A, ABS 3; International audience; Charity and its corollary donations are often considered moral obligations in different cultures and religions. In the humanitarian aid field, trust in the donor is crucial, and scandals, inefficiencies, or corruption can undermine confidence in charity organizations. In this context, the characteristics of blockchain, which improve the transparency and traceability of transactions, are well-adapted to charity collection and humanitarian causes. This research investigates the acceptability of blockchain by donors and analyzes religion's moderating impact on the acceptance of such technology. The research framework was developed by applying and extending theories of reasoned action and planned behavior. A quantitative approach was selected, and a survey of 590 respondents issued by principal monotheist religions was collected in the USA between April 21, 2022, and May 18, 2022. The results confirmed the impact of transparency on attitudes and subjective norms and removed barriers. Second, attitudes and subjective norms strongly influence behavioral intention to give. Third, the moderating impact of religion on donations is partially verified. This article contributes to the literature related to blockchain.

International audience; While omnichannel strategies have become increasingly ubiquitous in franchising, there is a dearth of academic research on how franchisees perceive omnichannel retailing and how the latter impacts the franchise relationship. Yet, the rise of omnichannel strategies could modify the relationship between the franchisor and the franchisees in different ways. For instance, the diversity of channels could reduce the ability of franchisors to monitor their franchisees and could empower the latter (Lee et al., 2019). Some channels, mainly the brand’s website, could introduce new forms of intra-brand competition between the franchisor and franchisees’ units (Bridges, 2017; Cliquet and Voropanova, 2016). The present research seeks to address this gap in knowledge by focusing on the following research question: what impact does the implementation of an omnichannel strategy in franchised networks have on the franchiseefranchisor relationship quality?

International audience; Urban logistics is one of the key elements of urban mobility planning. The use of real-time information systems in logistics operations generates an enormous amount of data, nowadays used mainly for the purpose of monitoring and control of large flows of goods. At the same time, urban planners, business stakeholders, and city administrators are in need of adaptive, data-driven decision support solutions to address today's urban logistics problems. Recently, digital twins have received a lot of attention to support advanced experimentation, simulation and decision-making for on-demand logistics operations. Questions still remain on how to realize these for urban logistics management in a mixed public-private stakeholder context. We argue that this lack of a specific framework for city logistics with a model library for data mergers, linking physical and virtual data exchange, can compromise the timely adoption of digital twin technology. We contribute to filling this gap by presenting a systematic review of the literature, proposing a conceptual framework for digital twin applications in urban logistics, and providing use case scenarios for their demonstration. Together, these should advance the technical implementation of digital twins in a sustainable city logistics context.

International audience; The location of a restaurant is critical to its success or failure and the impact it has on the surrounding community. Business owners and customers alike are affected by the geographical spaces selected for restaurants. With the rise of fast-food delivery, people can have their food delivered within a specific time frame. The optimization of the wait time is vital to ensuring the efficiency of operations and customer satisfaction. The first objective of our study is to ascertain the proximity between restaurants and those who live within the study area. The second objective is to then suggest locations where couriers could park to be near the maximum number of restaurants, and thus able to make deliveries in the shortest amount of time possible.

We consider a single-server queueing system where a finite number of customers arrive over time to receive service. Arrivals are driven by appointments, with a scheduled appointment time associated with each customer. However, customers are not necessarily punctual and may arrive either earlier or later than their scheduled appointment times or may not show up at all. Arrival times relative to scheduled appointments are random. Customers are not homogeneous in their punctuality and show-up behavior. The time between consecutive appointments is allowed to vary from customer to customer. Moreover, service times are assumed to be random with a γ-Cox distribution, a class of phase-type distributions known to be dense in the field of positive distributions. We develop both exact and approximate approaches for characterizing the distribution of the number of customers seen by each arrival. We show how this can be used to obtain the distribution of waiting time for each customer. We prove that the approximation provides an upper bound for the expected customer waiting time when non-punctuality is uniformly distributed. We also examine the impact of non-punctuality on system performance. In particular, we prove that non-punctuality deteriorates waiting time performance regardless of the distribution of non-punctuality. In addition, we illustrate how our approach can be used to support individualized appointment scheduling.

FNEGE 3, HCERES B, ABS 2; International audience; This research aims to consider, in the context of smart objects, the interplay of motivated consumer innovativeness (MCI), satisfaction, and word-of-mouth (WOM). Following earlier behavioral research through three phases of attitudes (cognition, affection, and conation), the study proposes that functional, hedonic, and social MCI (cognition) are positively related to satisfaction (affection), thus positively influencing WOM engagement (conation). In addition, it is shown that functional and hedonic MCI moderate the relationship between social MCI and satisfaction. Two quantitative studies across two smart object categories (1129 users of wearables and 511 users of smart home objects) highlight that both functional and hedonic MCI positively relate to satisfaction and WOM. Though the effect of social MCI on satisfaction is non-significant for smart home objects and very low for wearables, our findings confirmed that social MCI has an indirect impact on satisfaction through functional and hedonic MCI in both product categories.

International audience; This research contributes to theory by extending the knowledge on power in franchise relationships to the case of omnichannel marketing. As the relative autonomy of franchisees can be an obstacle to optimal omnichannel integration, the research uncovers three broad forms of franchisor practices to align franchisees to the omnichannel strategy, rooted in an enforcing, a collaborative, and an empowering stance.

FNEGE 4, HCERES C, ABS 1; International audience; Following the restrictions on movement imposed during the COVID-19 pandemic, the greater demands placed on physicians and many healthcare infrastructures, a large number of health teleconsultation platforms have emerged around the world. The aim of this paper is to obtain a better understanding of the acceptance of teleconsultation platforms by patients. To this end, a survey of 1273 patients was carried out using a teleconsultation platform during the pandemic period in France (from 9 July to 29 October 2020). The questionnaire mobilized existing scales to measure Satisfaction, Perceived Justice and, finally, the intention to disseminate by Word-Of-Mouth (WOM). Data were analysed using a Partial Least Squares approach. The study confirms the impact of Distributive, Informational and Procedural Justice on Satisfaction and the impact of Distributive and Informational Justice on WOM. The findings emphasize the influence of Satisfaction on WOM. The results detect a mediating effect of Satisfaction on WOM and moderating effects of gender, age and long-standing use. This research contributes to both theoretical and practical COVID-19 research and may be used by healthcare professionals to develop teleconsultation services, one of the means of supporting interaction and satisfying patients’ treatment requirements during the pandemic.

FNEGE 2, HCERES B; International audience; Public health management faces in some countries major challenges, such as a lack of doctors or health infrastructure and materials, overburdened hospital emergency departments, areas underserved by health services, or, more recently, the crisis management to deal with the Covid-19 pandemic. E-health solutions could help solve some of these issues. Younger generations in particular tend to neglect their health, which can lead to serious future health problems. This article aims to analyze the perception of a teleconsultation device, the telemedicine cabin (TC), by young adults. The study is based on the Theory of Planned Behavior (Ajzen, 1991) and provides an extension to measure the influence of behavioral beliefs and perceived control on the intention to use TC. This study applies a quantitative methodology. The responses of 150 students enrolled in master’s programs in French business schools were taken into account for the analysis. The results, using a Partial Least Squares approach precisely the Structural Equation Model (PLS-SEM), confirmed the strong impact of model variables: compatibility and self-efficacy for the adoption of the cabin of telemedicine. This research also contradicts the personalization and privacy paradox, with a particular focus on healthcare. It also makes it possible to identify the technological paradox of the studied population, which is generally open to sharing its private information but is reluctant to share its health data. Our results could be used by health professionals and public authorities to respond to uncertainty regarding the quality of services provided by e-health solutions in order to manage better the allocation of resources in the public health system as well as address current and critical health service issues.; Les équipes de gestion de santé publique dans certains pays sont confrontées à des problèmes majeurs, tels que le manque de médecins ou d’infrastructures et de matériel de santé, des services d’urgence hospitaliers surchargés, des zones mal desservies par les services de santé ou, plus récemment, la mise en œuvre d’une gestion de crise pour faire face à la pandémie du Covid-19. Les solutions d’e santé pourraient aider à résoudre certaines de ces situations. Les jeunes générations en particulier auraient tendance à négliger leur santé, ce qui peut entraîner de futurs et graves problèmes de santé. Cet article vise à analyser la perception par les jeunes adultes d’un dispositif de téléconsultation, la cabine de télémédecine (CT). Il s’appuie notamment sur la Théorie du Comportement Planifié (Ajzen, 1991) et ses prolongements, pour mesurer l’influence des croyances comportementales et du contrôle perçu sur l’intention d’utiliser la CT. Cette étude applique une méthodologie quantitative. Les réponses de 150 étudiants inscrits en master dans des écoles de commerce françaises étaient prises en compte pour l’analyse. Les résultats, en utilisant une approche Partial Least Squares (moindres carrés partiels) précisément le Modèle d’équations structurelles (SEM), ont confirmé l’impact fort de variables du modèle : compatibilité et auto-efficacité pour l’adoption de la cabine de télémédecine. Cette recherche contredit par ailleurs le paradoxe de la personnalisation et de la vie privée, avec un accent particulier sur les soins de santé. Elle permet également d’identifier le paradoxe technologique de la population étudiée qui est généralement ouverte au partage de ses informations privées, mais qui est réticente à partager ses données de santé. Nos résultats pourraient être utilisés par les professionnels de santé et les pouvoirs publics pour répondre à l’incertitude concernant la qualité des services fournis par les solutions de e-santé, afin de mieux gérer l’allocation des ressources dans le système de santé publique ainsi que répondre aux problèmes actuels et cruciaux des services de santé.

International audience; The digital entrepreneurship indicator (DEI), which combines individual and institutional data, is designed to chart the vitality of metropolitan areas in terms of digital entrepreneurship on a suburban scale. In this study, we apply it to the case of the Greater Paris Metropolitan area. Using geographically weighted regression, we explore the spatial heterogeneity of the effect of digital entrepreneurial ecosystems on the location quotient of information and communication technology firms with fewer than 10 employees. The results highlight a positive link between the DEI and the location quotient of small ICT firms. In particular, the aspects of both ATTitudes and CAPacities (i.e., urbanization economies, Human Development Index, density of incubators, accounting and financial services, and fiber optic coverage) appear to have a significant effect on a suburban scale.

PurposeMost businesses strive to control the efficiency of their supply chains; however, luxury firms face additional challenges from counterfeit, gray market and copycat products. Blockchain technology can address these issues and enhance firms' supply chain management, guaranteeing the traceability and origin of luxury products. Therefore, this study aims to investigate the utility and contexts influencing the implementation of blockchain technology to optimize supply chain management and prevent fraud in the luxury industry.Design/methodology/approachThe research uses a qualitative approach based on the grounded theory method. Data are collected by semi-structured interviews with 12 stakeholders working on blockchain applications in the luxury business sector.FindingsHighlighting the problems faced by luxury brands' supply chains, this study presents blockchain technology as a solution for disintermediation, traceability and transparency in the luxury goods sector. The constraints faced by luxury brands incorporating this technology into their ecosystem include the knowledge gap, the multiplicity of third parties involved in the production process and bias toward short-term returns on investment.Originality/valueBlockchains promote greater transparency and efficiency within supply chains, which builds consumer trust and improves brand revenue. Considering luxury brands' reluctance to adopt blockchains, this study suggests that luxury firms adopt a staggered implementation of private blockchain networks starting with a small number of third-party suppliers.

This study aims to evaluate the cost of agents’ self‐routing in a service system with inbound and outbound customers. We assume that inbound customers arrive over time depending on the waiting time offered, while outbound customers can be contacted at all times. Furthermore, agents are in control of routing decisions and are aware of the state of the system. Accordingly, they decide whether to serve an inbound or outbound customer, or to idle. The system manager seeks to provide a suitable trade‐off between agents’ choice of serving inbound and outbound customers by incentivizing their actions through linear payouts. Hence, there arises a problem of determining the cost of agents’ self‐routing, which can be interpreted as a variant of the principal‐agent problem where the agents’ efforts are directed toward selecting their routing policy. Through a Markov decision process, we show that the agents’ optimal policy is a reservation threshold policy for inbound customers, and express the compensation parameters that minimize staffing cost. We conclude that motivating idling decisions through linear payouts incurs high costs. This justifies the current practice of using automated routing in call centers. Moreover, paying for idling cannot reduce staffing cost. However, discriminating between delayed and non‐delayed customers in the reward structure presents a high potential of reducing agents’ pay. Finally, in situations where agents do not know the status of their colleagues, our analysis argues in favor of not revealing the state of the system to them through delay announcements when the objective waiting time is low.

CNRS 3, FNEGE 2, HCERES A; International audience; Les antiques textes sacrés de l’Inde scandent les transformations cosmiques par les descentes (avatara) successives de Vishnou sous des formes contrastées : dieu-sanglier, dieu Krishna, demi-dieu Rama, et même Bouddha, intégré dans les textes les plus tardifs. Dans le lexique francophone, le terme avatar dénote aussi bien ces transformations successives d’un même principe (divin) qu’un « ennui, changement survenu à la suite de péripéties, incidents » (CNTRL). À travers les bouleversements du monde, au fil de l’histoire moderne, l’idée de souveraineté se déploie et se transforme. Ces avatars, au double sens du terme, sont l’objet du présent dossier et de son introduction. En effet, la Revue française de gestion et la SFM engagées dans l’élaboration de ce dossier spécial se sont efforcées de situer les sciences de gestion dans leur dimension de sciences du pilotage de l’action collective organisée et finalisée (Hatchuel, 2019), et d’ouvrir les recherches vers les sujets d’avenir (Denis, 2018). [...]

International audience; This paper investigates the link between business actors' perceptions of the compatibility between ecological responsiveness and business performance and the level of corporate commitment to address ecological issues. The dichotomy between peripheral (or symbolic) actions and embedded (or substantive) actions traditionally assumed in business research arguably reflects a limited conceptualisation of the link between ecological responsiveness and business performance. It fails to exhaustively explain how companies create, maintain, or disrupt practices that affect the natural environment. Combining insights from a conceptual framework that encompasses four scenarios of compatibility (trade-off, ambidexterity, synergy, and symbiosis) and 50 interviews with 25 management consultants, the results show that perceptions of compatibility are associated with a valence of business responses towards either maturation strategies (accommodative, philanthropic, progressive, and consolidative) or minimalistic strategies (lackadaisical, compliance, opportunistic, and cosmetic). The findings bring greater nuance to key forms of corporate ecological responsiveness, and how business agents' interpretations play a key role in shaping a firm's activities in this domain.

We investigate the transient behavior of a multi-server queue with a linearly increasing arrival rate, also called affine Queue-Hawkes process. We obtain expressions of the Laplace Transform of the transient probabilities involving confluent hypergeometric functions. When the arrival rate without congestion-attraction is higher than the service rate or with an initial condition with all servers busy, these Laplace Transforms can be numerically inverted. Our numerical investigations show that convergence to the stationary regime is slower than for an M/M/s queue.

We model the work of a front-line service worker as a queueing system. The server interacts with customers in a multi-stage process with random durations. Some stages require an interaction between server and customer, while other stages are performed by the customer as a self-service task or with the help of another resource. Random arrivals by customers at the beginning and during an encounter create random lengths of idle time in the work of the server (breaks and interludes respectively). The server considers treatment of an infinite amount of back-office tasks, or tasks that do not require interaction with the customer, during these idle times. We consider an optimal control problem for the server's work. The main question we explore is whether to use the interludes in service encounters for treating back-office, when the latter incur switching times. Under certain operating environments, working on back-office during interludes is shown to be valuable. Switching times play a critical role in the optimal control of the server's work, at times leading the server to prefer remaining idle during breaks and interludes, instead of working on back-office, and at others to continue back-office in the presence of waiting customers. The optimal policy for use of the interludes is one with multiple thresholds depending on both the customers queueing for service, and the ones who are in-service. We illustrate that in settings with multiple interludes in an encounter, if at all, the back-office work should be concentrated on fewer, longer and later interludes., NA

International audience; Dans les pratiques organisationnelles, le management des talents est souvent associé au personnel cadre d'organisations privées et relié à des dispositifs issus de la GPEC. Cet article propose de questionner ce lien traditionnel. Les auteurs interrogent qualitativement la relation dyadique entre développement des talents non-cadres et politique d'intégration d'une entreprise publique. Les résultats de l'étude montrent qu'en permettant aux primo-arrivants d'etre acteurs de leur propre développement, ce dispositif renouvelle « l'offre RH » en matière d'accompagnement des talents.

International audience; The Contingent Valuation Method (CVM) is a tool of economic analysis whose purpose is to measure, on the basis of individuals' stated preferences, the utility they attach to the production of public goods, thereby enabling a public decision-maker to arbitrate between different items of expenditure. The approach has been deployed as part of a centralist conceptual scheme that leaves little room for citizens in the decision-making process and is now being challenged by the increasing prominence of multilevel governance, particularly in Europe. The purpose of this article is to discuss the use in this context of citizen advisory committees (CACs) rather than the other participatory tools sometimes recommended in contingent valuation studies, such as citizen juries and the scenario workshop. It also discusses the limitations of the CAC/CVM combination in order to ensure that citizens' opinions are fully taken into account in the specification and implementation of public programmes.

International audience; -L'inclusion des défis du développement durable en tant que thème de recherche dans le « champ » du management a mis en lumière certaines sources d'incohérences dans les postulats ontologiques et épistémologiques qui y sont associés. Inspiré de l'expérience de l'auteur dans un programme de recherche et de formation « Marie Curie » fondé sur la collaboration entre universitaires et acteurs d'entreprises et une volonté de stimuler le progrès social (« Innovating for Sustainability », 2013-2016), cet article appelle à un effort « supradisciplinaire » de production des savoirs pour permettre la construction d'un paradigme de management (mieux) adapté aux défis du développement durable. Trois formes principales de supradisciplinarité sont identifiées : la multidisciplinarité, l'interdisciplinarité et la transdisciplinarité. Si toutes ces formes ont le potentiel de stimuler le progrès vers le développement durable, le processus de « transdisciplinarité » est présenté comme la forme d'engagement la plus avancée, mais aussi la plus exigeante.

International audience; After a new and ambitious reform, referred to as the 'Territorial Big Bang', France was confronted, from the end of 2018, with the revolt of the yellow vests, often originating from the country's most peripheral or troubled territories. These oppositions and contestations from the territories may seem all the more astonishing since the ambitious territorial reform initiated in 2015 and which took shape with the NOTRE and MAPTAM laws aimed precisely at repositioning the role of the territories at each scale. How and why have we arrived at the current result, which seems to revive the historical territorial divide between Paris and the provinces, transforming it into an opposition between the major cities and the rest of France? In this article, we show how the territorial reform of 2015 was a failure and we take stock of the fact that far from affirming a new stage of decentralization, it has consisted above all in favouring large structures and the search for economies of scale, and has left behind territories that don't matter anymore for the public policies.

International audience

International audience

International audience; Tracing infectious individuals and clusters is a major tactic for mitigating the pandemic. This paper explores the factors impacting the intentions and actual use of COVID-19 contact tracing apps based on a technology acceptance model. A partial least squares structural equation model has been applied to understand determinants for the usage of tracing apps based on a large sample (N = 2,398) from more than 30 countries (mainly from Germany and USA). Further, the paper presents a classification of COVID-19 apps and users. Through that, the study provides insights for technologists and designers of tracing apps as well as policy makers and practitioners to work toward enhancing user acceptance. Moreover, the results are abstracted to general social participation with apps in order to manage future strategies. The theoretical contribution of this work includes the results of our acceptance model and a classification of COVID-19 tracing and tracking apps.

CNRS 4, FNEGE 3, HCERES B; International audience; Research literature on blockchain technology is starting to emerge. Blockchain technology is primarily associated with cryptocurrencies, raising interest in an application in other business sectors, thanks to its characteristics. The decentralized nature of blockchain creates the new concept of a token economy, which can help to trace and valorize intellectual property - one of the essential challenges in co-creation. This paper considers how blockchain technology and tokenization can solve challenges in co-creation projects consisting of large companies, startups and entrepreneurial accelerators. The paper proposes an exploratory analysis based on interviews conducted with French companies and startups. The findings include a framework of (1) challenges, lack of operating rules, trust, and traceability, and (2) the potential benefits of blockchain and tokenization to solve issues that arise. The findings can be useful for both startups and large companies as a starting point for understanding and adopting blockchain technology.

International audience

CNRS 4, FNEGE 3, HCERES B; International audience; This article studies the effect of the discourse used by entrepreneurs on the success of the lending campaigns. Based on data collected from three main lending platforms in France, we first identified three classes of discourse using automated textual analysis: a discourse related to the company’s financial situation, a discourse related to the management team and a discourse related to the product. Secondly, we studied the impact of these three classes of discourse on fundraising success using the penalized maximum likelihood methodology. The results reveal that only the discourse related to the company’s financial situation has a positive and significant effect on the success of the campaign.; Cet article étudie l’effet du discours mobilisé par les porteurs de projets pour s’adresser aux communautés de prêteurs sur la réussite des campagnes de prêt. À partir de données collectées auprès de trois des principales plateformes françaises, nous avons identifié, dans un premier temps et grâce à une analyse textuelle automatisée, trois classes de discours : un discours portant sur la situation financière de l’entreprise, un discours axé sur l’équipe dirigeante et un discours portant sur le produit. Dans un deuxième temps, nous avons étudié l’impact de ces trois classes de discours sur la réussite des levées de fonds en utilisant la régression logistique par la méthode du maximum de vraisemblance pénalisé. Les résultats montrent que seul le discours relatif à la situation financière de l’entreprise a un effet positif et significatif sur le succès de la campagne.

International audience; The development of Renewable Energies (RE) must be stepped up in the coming years if we are to successfully realise the ambitious energy transition challenge set by many governments across the globe. However, the energy transition is far from obvious, especially with regard to the social acceptability of RE. In this context, we used a Discrete Choice Experiment combined with a Geographical Information System to assess the willingness of in-dividuals to switch to a more virtuous energy mix based on three energy sources (wind, photovoltaic and biogas). Our results show a dominant generational effect, indicating that young people are more likely to accept renewable energy in their neighborhoods. Furthermore, residents in areas with renewable energy with negative externalities (wind turbines and anaerobic digestion units) tend to have a lower Willingness to Pay than residents in other areas, which is what we call the principle of territorial distributive justice. There is no reason to believe that the difficulties in finding new locations for RE installations could fade away. Therefore, an increased effort of public policies to plan the location of future RE facilities in a more equitable way and always a better explanation and co-construction of new RE projects are needed.

International audience

International audience; People can now monitor and quantify their daily life activities through quantified-self products, such as self-tracking devices. These types of products are invading the market, and the reasons for their adoption must be understood. Word of mouth (WOM) plays a crucial role in the adoption of disruptive innovations. In line with the literature, this article demonstrates that quantified-self products are disruptive innovations that have distinct antecedents explaining why individuals use WOM. Hence, this article examines the need for uniqueness (NFU) and perceived values as drivers of satisfaction that in turn impact WOM. Data from a sample of 496 actual users of self-tracking devices were collected through an online survey. The results emphasize the positive impact of the NFU on satisfaction through utilitarian and hedonic values. We propose theoretical and managerial insights and suggest that companies must adopt a new perspective on disruptive innovations, particularly related to satisfaction and WOM, by considering the variables proposed in the research model.

FNEGE 2, HCERES A, ABS 3; International audience; The COVID-19 pandemic boosted the digital transformation of many services, including healthcare, and access to medical care using teleconsultation has increased rapidly. Thus, a growing number of online platforms have been developed to accommodate patients’ needs. This paper examines the factors that predict the intention to use medical teleconsultation by extending the unified theory of acceptance and use of technology (UTAUT2) with the three dimensions of trusting beliefs and self-efficacy. A survey was administered to patients who had used a teleconsultation platform during the pandemic period. As one of the largest studies to date, a sample of 1233 respondents was collected and analyzed using a partial least squares approach, often mobilized in the information systems (IS) domain. Furthermore, a deep analysis using all recommended metrics was performed. The results highlight the significance of trusting beliefs, and self-efficacy in the adoption of digital healthcare services. These findings contribute to both theory and practice in COVID-19 research.

International audience; Companies in the extractive sector implement local content measures in the areas in which theyoperate. These measures - training, education, employment, infrastructure, health - must benefitlocal populations. Companies report on these activities by publishing the information requiredby the Non-Financial Reporting Directive (NFRD).The literature and the exploratory analysis of local content clauses appearing in extractivecontracts published over the last three years (2018-2020) by the Extractive industrytransparency initiative, show that the reform of the NFRD should provide for a precisedefinition of the notion of local population and a precise measurement of its satisfaction, forexample through the use of the notion of consent (FPIC).; Les entreprises du secteur extractif mettent en œuvre des mesures de local content, sur lesterritoires sur lesquelles elles opèrent. Ces mesures – formation, enseignement, emploi,infrastructures, santé – doivent bénéficier aux populations locales. Les entreprises rendentcompte de ces activités en publiant les informations prévues dans la Non financial reportingdirective (NFRD). La littérature et l’analyse exploratoire des clauses de local content quiapparaissent dans les contrats extractifs publiés ces trois dernières années (2018-2020) parl’Extractive industry transparency initiative, montrent que la réforme de la NFRD devraitprévoir une définition précise de la notion de population locale et une mesure de sa satisfaction,par exemple au travers de l’utilisation de la notion de consentement (CLPE).

International audience; L’article propose un cadre d'évaluation permettant de comparer empiriquement les performances des EPCI normands en termes de Développement Durable (DD) et selon six dimensions : Environnement et Ressources Naturelles, Transition Énergétique, Mobilité Durable, Dynamisme Économique, Cohésion Sociale et Solidarité, Gouvernance et Citoyenneté. Considérant un large éventail de variables, nous construisons des indices composites agrégés pour chaque dimension du DD. Nous utilisons un support cartographique pour comparer les performances des EPCI dans chacune des six dimensions. Ensuite, une classification hiérarchique ascendante met en évidence six profils types de DD. Enfin, les résultats permettent d'identifier les forces et les faiblesses des EPCI normands dans la mise en œuvre des politiques publiques de DD.

In this paper we use only Sperner's lemma to prove the existence of general equilibrium for a competitive economy with production or with uncertainty and financial assets. We show that the direct use of Sperner's lemma together with Carathéodory's convexity theorem and basic properties of topology such as partition of unit, finite covering of a compact set allow us to bypass the Kakutani fixed point theorem even in establishing the Gale-Nikaido-Debreu Lemma. We also provide a new proof of the Kakutani fixed point theorem based on Sperner's lemma.

This paper investigates the nexus between foreign aid (in the form of loans), poverty trap, and economic development in a recipient country by using a Solow model with two new ingredients: a development loan and a fixed cost in the production process. The presence of this fixed cost generates a poverty trap. Development loans may help the country to escape from the poverty trap and converge to a stable steady-state in the long run, but only if (i) the country's characteristics, such as saving rate, initial capital, governance quality, and in particular productivity, are good enough, (ii) the fixed cost is relatively low, and (iii) loans rule is generous enough. We also show that there is room for endogenous cycles in our model, unlike the standard Solow model.

We consider an overlapping generations economy with altruism towards parents and a long-lived asset that delivers no dividends (pure bubble asset). We explore the role of ascendant altruism on the dynamics properties of equilibrium and rational bubbles in the cases of exogenous and endogenous growths.

Building on the institutional economics perspective, we study how local firms in an emerging economy exploit institutional voids by sourcing inputs from industries with a large informal economy. We argue that this allows them to build a cost-related competitive advantage and leverage it both to export and to enhance export performance. The empirical study uses a unique dataset compiled by the Mexican authorities covering manufacturing plants between 2005 and 2012. Our results indicate that firms operating in industries that procure from industries with an extensive informal economy are more likely to export and to have better export performance.

International audience; This article analyzes electoral behaviors related to voting abstention in the Metropolis of Paris. We highlight the interest of a contextual approach to examine non-voting behaviors. Using socioeconomic and demographic data at the level of municipalities, we construct a spatial model to explain the reasons for abstention. Our results support the idea that abstentionism expresses a disengagement behavior as well as a protestation behavior. People disengage from politics because they believe that politicians (no matter which party is in power) will not be able to change their situation. This hypothesis applies to non-voters peripheral to political life. We also show that these people tend to live in socioeconomically marginalized areas. The protest attitude is found especially in "left-behind" areas that have experienced a significant decline in the supply of public services and local shops. Bridging the divide in these neglected areas is essential to avoid further marginalization and growing protest.

International audience; We show that both real indeterminacy and asset price bubble may appear in an infinite-horizon exchange economy with infinitely lived agents and an imperfect financial market. We explain how the asset structure and heterogeneity (in terms of preferences and endowments) affect the existence and the dynamics of asset price bubbles as well as the equilibrium indeterminacy. Moreover, this paper bridges the literature on bubbles in models with infinitely lived agents and that in overlapping generations models.

International audience; The circular economy is a new economic model that breaks with the linear model. It is more respectful of the environment and is often presented as an opportunity for sustainable development. From a literature review on this issue, the objective of our article is to focus on the territorial dimension of the circular economy. We present the main issues for future research on territorial innovations, territorial embeddedness, resources and sustainability of circularity.

Le 17 mars 2020, la totalite de la population francaise se retrouve confinee afin de faire face a l’epidemie de Covid-19. Dans le cadre de plans de continuite, les entreprises organisent une forme de teletravail contraint, a temps plein pour les collaborateurs eligibles. Cette situation inedite est une forme de teletravail peu structuree qui questionne l’influence des outils, pratiques et processus d’information mis en place par les services RH sur l’evolution de la relation manageriale des teletravailleurs en periode de confinement. La partie empirique repose sur une etude quantitative realisee pendant le confinement entre le 15 avril et le 11 mai 2020 aupres de 169 repondants. Les resultats revelent qu’un manque d’outils, de pratiques et de processus d’information pourrait modifier durablement la relation manageriale. Le deploiement plus generalise d’une information adaptee par les services RH contribuerait a developper la confiance des collaborateurs et la perception positive du teletravail et de la relation manageriale. L’information devrait etre egalement ciblee en fonction du degre de maturite du salarie face au teletravail.

We present some mathematical tools widely used in courses taught in (under)graduate programs in economics. We hope that readers can learn how to apply mathematical results in economics and how to prove them. We focus on two topics: finite-dimensional convex optimization and discrete-time dynamical systems. We also present several applications in economics.

We extend the approach of Koole et al. (2012) [15] and Legros et al. (2018) [20] for the G/M/1 queue. The idea is to provide a Markovian approximation where a state represents the oldest customer's wait. This modeling is made possible by creating states with negative wait, representing an estimate of the time at which a new customer would arrive when the system is empty. We apply this method for performance evaluation and routing optimization. Finally, we further extend the model to the G/M/1+G queue.

International audience; This study fills a gap in the consumer emotions literature regarding customer frustration in a customer service setting. Most research on customer emotions has examined anger, happiness or affect in general, largely ignoring the particularities of frustration. Consistent with appraisal theory, we use five experiments to explore the different appraisal dimensions that define frustration and its relation to customer loyalty and satisfaction. Contrary to common belief, we show that frustration is not simply the result of goal-blocking, but rather of a more complex combination of appraisals which differentiate it from anger and lead to distinct effects on satisfaction and loyalty. We also examine how the effects of frustration on loyalty and satisfaction are mitigated by service recovery in a further experiment and an event reconstructive method. Our results test appraisal theory, inform theory on customer emotions and have important implications for our understanding of customer satisfaction and loyalty following frustrating customer service encounters.

Purpose Nowadays, Bitcoin is facing many environmental problems arising from the proof of work based on blockchain. For this reason, Bitcoin Green (BITG) has been created and would solve these issues. The purpose of this paper is to visualize the users’ perception toward BITG through Twitter text analysis. Design/methodology/approach The big data used in this study includes two sources. The first data were extracted from the “Google Trends” engine during the period between 20 September 2015 and 15 September 2020. The second data were extracted from the Twitter application. This research explores the perceived ease of use, the perceived usefulness, the social influence, the perceived control and the user attitudes toward BITG. Therefore, lexicon-based sentiment analysis techniques combined with different dictionaries are built to visualize the drivers of investor attitudes toward the BITG using Twitter text messages. Besides, this study has checked the validity of two main assumptions using the normality (Jarque-Bera) and Kruskal-Wallis rank sum tests capable to conclude whether users mostly perceive BITG as a sustainable technology. Findings This empirical work affords insights into users’ intentions by exploring the drivers of BITG perception. The results show that users positively perceive the use of BITG as a sustainable blockchain. Besides, its usefulness is more appreciated from its ethical and technological characteristics, and its perceived application is mainly based on investment and coin offering use. Similarly, users are mostly showing positive emotions toward BITG. Research limitations/implications Tweets related to “BITG” are not as voluminous as the other cryptocurrencies like Bitcoin and Ethereum, which make it difficult to extract all the characteristics and use cases. Originality/value To the best of the authors’ knowledge, this work is the first one that uses the theory of planned behavior and the theory of acceptance model to explore cognitive factors in understanding investor intentions in adopting BITG.

International audience; This study investigates the influence of buyer–seller personality similarities on compulsive buying behaviour in a dyadic setting. To provide insights into the gaps in previous research, we collected both buyer and corresponding seller data, and considered sellers' personalities. Specifically, using difference score analyses and variance-based structural equation modelling, we analysed 1038 buyer–seller dyads in service encounters. Compared with the effects of individual buyers' personalities on compulsive buying, the combined personality results showed that buyer–seller agreeableness similarities increase the compulsive buying behaviour of agreeable buyers. On the other hand, buyer–seller similarities in openness and neuroticism reduce compulsive buying. A further analysis showed that buyer–seller interactions mediate the effect of their extraversion and openness similarities on compulsive buying, while buyers' shopping enjoyment mediates the effect of their extraversion and neuroticism similarities on compulsive buying. Overall, compulsive buyers have interpersonally different buying behaviours when their personalities match (differ) with their corresponding sellers'. Thus, marketers can match agreeable buyers with similar sellers to promote sales, while dissimilar sellers should be complemented with open-minded and neurotic buyers, in particular, to reduce losses.

International audience

International audience; A vast quantity of high-dimensional, unstructured textual news data is produced every day, more than two decades after the launch of the global Internet. These big data have a significant influence on the way that decisions are made in business and finance, due to the cost, scalability, and transparency benefits that they bring. However, limited studies have fully exploited big data to analyze changes in news diversity or to predict financial market movements, specifically stock market crashes. Based on modern methods of textual analysis, this paper investigates the relationship between news diversity and financial market crashes by applying the change-point detection approach. The empirical analysis shows that (1) big data is a relatively new and useful tool for assessing financial market movements, (2) there is a relationship between news diversity and financial market movements. News diversity tends to decline when the market falls and volatility soars, and increases when the market is on an upward trend and in recovery, and (3) the multiple structural breaks detected improve the ability to forecast stock price movements. Therefore, changes to news diversity, embedded in big data, can be a useful indicator of financial market crashes and recoveries.