Recherche académique à emlyon business school
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Emergency production of medical products : partial decentralization vs. complete decentralization
No full textInternational audienceIn the emergency production of medical products, the supplier with raw materials is often the leader in the game and has the advantage of determining the supply chain structure. Previous research on supply chain structure mostly focuses on how the leader uses this advantage to obtain the optimal profit, ignoring the strategic compensation of the follower under this disadvantage. This paper explores how the follower can get the optimal profit through contract design and production time in a supply chain composed of two buyers (integrated buyer and non-integrated buyer) and a supplier. In the case of shortage of medical products, firms form a completely decentralized or partially decentralized (the supplier and a buyer form a vertically integrated entity) structure for emergency production. The results show that the integrated buyer can obtain more profits in the partially decentralized structure. In addition, in the partially decentralized structure, the non-integrated buyer is more sensitive to production time. Surprisingly, in emergency production, the more purchases the non-integrated buyer makes, the higher the wholesale price of the supplier. However, under certain conditions, this abnormal phenomenon increases the possibility of the buyer obtaining the optimal profit, and weakens the influence of supply chain structure.<br/
En compétition pour l'influence dans les réseaux grâce au ciblage stratégique
No full textWe experimentally investigate how players with opposing views compete for influence through strategic targeting in networks. We varied the network structure, the relative influence of the opponent, and the heterogeneity of the nodes’ initial opinions. Although most players adopted a best-response strategy based on their relative influence, we also observed behaviors deviating from this strategy, such as the tendency to target central nodes and avoid nodes targeted by the opponent. Importantly, although not theoretically relevant, targeting is also affected by affinity and opposition biases, the strength of which depends on the distribution of initial opinions
Structural rearrangement of the network system from an efficiency perspective : A silver lining of profit improvement
No full textInternational audiencePrevious studies on profit improvement mainly consider improving traditional profit efficiency including the technical, allocative, and price profit efficiencies. Few studies discuss profit improvement by optimizing the structural arrangement of the network system, which is about adjusting the combinations of upstream and downstream entities in the system. When achieving traditional efficiency, the system's profit can no longer be increased only by reducing inputs, increasing outputs, and adjusting prices. In this situation, structural rearrangement may provide a silver lining to profit improvement. In this study, we take the two-level supply chains as an example and address the research question of how to improve profit via structural rearrangement of the system containing several two-stage subsystems from the efficiency perspective. To answer this question, we view two-stage subsystems in each system as players and propose a data envelopment analysis permutation game method. Through this method, we find the optimal structural rearrangement plan, which is a new way to further improve the profit in addition to improving traditional profit efficiency. We propose a new efficiency measurement, the structural profit efficiency, and find overall profit efficiency is the product of structural profit efficiency and traditional profit efficiency. Finally, we conduct an experiment using the data of 27 supply chains to validate our proposed method and provide the optimal structural rearrangement plans for them.<br /
Participatory Food Provisioning via Emerging Technologies : Revisiting Prosumption and Value Creation Beyond the Anthropocene
No full textInternational audienceThis commentary offers a timely exploration of participatory food provisioning via emerging food technologies. Through an in-depth analysis of case studies of these technologies, we elucidate the changing nature of prosumption in orchestrating food market provisioning. Our investigation highlights a shift toward a non-anthropocentric vision of market provisioning, where value creation transcends human-centered paradigms to include alliances between humans, technology, and nature. By articulating the nuanced dynamics and outcomes of these alliances in the food market, we propose a reimagined perspective on value creation, urging macromarketing scholars to consider the broader implications of technology-driven, participatory food systems. Ultimately, we emphasize the necessity of integrating human and non-human stakeholders in the discourse on value creation, and challenge conventional notions of control, democratization, and sociality within prevailing food-provisioning systems.<br /
Autonomy as a Strategic Dial : A Dynamic Framework for Managing Acquired Subsidiaries
No full textInternational audienceManaging acquired subsidiaries can be daunting. Parent and affiliate executives strive to co-create value, but fixed mindsets around subsidiary autonomy can result in diverging interests and outcomes. Through a longitudinal study of Audi’s post-acquisition integration of supercar manufacturer Lamborghini, this article provides guidance on how to manage the level of acquired subsidiary autonomy as a strategic dial that can be dynamically adjusted over time for mutual benefit. This dynamic approach to autonomy rests on three specific managerial levers—appraisal respect, organizational identity, and resource orchestration. These can enable the renewal of competitive capabilities and sustain post-acquisition success.<br/
Juggling Janus : Managing Retailscapes at the Frontier of Logics of Commerce and Care
No full textInternational audienc
User Experience of Digital Voice Assistant : Conceptualization and Measurement
No full textInternational audienceWith the development of digital virtual assistants (DVA), academics and practitioners have increased attention to the DVA user experience. However, the measurement scale of DVA user experience is still under-researched, which may hinder further empirical study on human-DVA interaction. This study rigorously developed dimensions and associated scales of the DVA user experience. We employed a mixed-method approach that integrated qualitative and quantitative methods. This study first developed multilevel dimensions of DVA user experience based on consumers’ online reviews (n = 21,314), then adopted the ten-step method to develop the associate measurement scale with reliability and validity by collecting and examining three data sets (pretest: n = 368, refinement and validation: n = 585, cross-validation: n = 567). This study fills the gap of a lack of research on the classification and measurement of DVA user experience and provides a reference for practitioners in developing DVA and continuously improving the DVA user experience.<br/
Unsilencing silence on business school sexism : A behind-the-scenes narration on regaining voice
No full textInternational audienceUnsilencing sexism-related silence is not a new need, particularly in academic institutions heavily imbued with patriarchy, where sexist events are often ignored or denigrated. In this paper, we draw on a sexist cyberbullying attack unleashed against part of our academic work to extend a critique to the silence culture surrounding business school sexism. Through an embodied discussion of the various faces and phases of silence, silencing, and unsilencing that we experienced following this sexist event, we show the behind-the-scenes relational process that led us from silence to activism in regaining our voices and speaking out against academic sexism. We discuss the emancipating potential of feminist “wor(l)ds,” relationality, and communal support in unsilencing sexism-related silence and articulate possible ways of unsilencing silence at the individual, community, and institutional levels.<br /
Emergence of Social Robot Technology and Its Friction-Free Diffusion in Society : From Engineering Aesthetics and Compatibility Perspective
No full textInternational audienceA social robot utilizes artificial intelligence (AI) technology to engage and interact with humans and several studies have explored the various functionalities of social robots. However, limited research has been conducted on how factors such as aesthetics and compatibility can influence individuals' intention to use social robots. Consequently, the aim of this research study is to address this gap and provide insights in this area. The study adopts the technology acceptance model, theory of planned behavior, and innovation diffusion theory to investigate the cognitive and psychological factors that impact an individual's intention to use social robots. The study uses self-efficacy, and innovativeness as the predictors of compatibility. Also, the study uses personal norms, and social norms as predictors of aesthetics. Taking account of theories and current literature, we developed a conceptual model and validated it using the partial least squares structural equation modeling technique with 372 respondents. The study found that compatibility and aesthetics are important factors impacting individuals’ intentions to use social robots.<br /
Machine learning in marketing : Recent progress and future research directions
No full textInternational audienceDecision-making in marketing has changed dramatically in the past decade. Companies increasingly use algorithms to generate predictions for marketing decisions, such as which consumers to target with which offers. Such algorithmic decision-making promises to make marketing more intelligent, efficient, consumer-friendly, and, ultimately, more effective. Not surprisingly, machine learning is a trending topic for marketing researchers and practitioners. However, machine learning also introduces important challenges to the marketing landscape. We discuss this development by outlining recent progress and future research directions of machine learning in marketing. Specifically, we provide an overview of typical machine learning applications in marketing and present a guiding framework. We position the articles in the Journal of Business Research’s Special Issue on “Machine Learning in Marketing” within this framework and conclude by putting forward a research agenda to further guide future research in this area.<br /