Portail HAL Rennes SB
Not a member yet
692 research outputs found
Sort by
Research centres and universities' intellectual capital: a quantitative empirical study of PhD holders' contributions
No full textInternational audienceThis study investigates the mechanisms of intellectual capital (IC) in knowledge‐intensive research centres and universities in the Minalogic cluster of Grenoble, France. We use structural equation modelling to analyse responses from 248 PhD holders. Our results show a positive relationship among human, relational, structural, and intellectual capital outcomes. We first contribute to the early understanding of IC mechanisms in research centres and universities by conducting a quantitative empirical study, which is novel to IC. We support the relation between knowledge‐based human capital and relational alliances capital and highlight the importance of employing PhD. holders. Second, unlike past studies, we offer empirical support that (a) relational alliances capital relates to structural innovation capital and (b) knowledge‐based human capital relates to structural innovation capital. We suggest that research centres and universities should develop an alliance portfolio for innovations. Third, we uncover that structural innovation capital relates to IC outcomes, contributing to the assessment of the economic and social role of public research centres and universities. This study presents managerial implications for policymakers and practitioners engaged in research centres and universities by highlighting the importance of key components of IC
Sustainable supply chain finance through digital platforms: a pathway to green entrepreneurship
No full textInternational audienceThis paper studies the green new product development (GNPD) problem of a risk-averse capital constrained supply chain (SC). The SC is managed by an SME entrepreneur, seeking financial support from a multi-sided FinTech platform (MSP) to develop a portfolio of green and non-green products. The MSP offers the SC a combination of equity financing (EF) and debt financing (DF) facilities and must decide on the interest rate of its DF facility. Using a benchmark model, we first characterize the SC’s production and the MSP’s financing decisions under a deregulated scenario. Focusing on an alternative case with government intervention (i.e., hybrid environmental-green entrepreneurship policy), we next develop a three-level game theoretical model and sequentially characterize the decision-making behavior of government, MSP, and SC. The model outcomes are analyzed by considering the policy approach (i.e., economic influence vs. social welfare) and the platform’s risk attitude. The results reveal that, when coupled with an appropriate government intervention policy, a regulated scenario leads to a better outcome, particularly when the MSP is risk-neutral and strikes a right balance between the EF and DF. The win–win situation may not be realized when the MSP is risk-averse and the host government is merely focused on its economic influence. To successfully promote sustainable supply chain finance (SSCF) through digital platforms, policy makers are urged to leverage their legislative power and prioritize green entrepreneurship and social welfare over their financial maximization agenda
Sustainable closed-loop supply chain with energy efficiency: Lagrangian relaxation, reformulations and heuristics
No full textInternational audienceResearch on the development of sustainable supply chain models is highly active nowadays. Merging the concept of supply chain management with sustainable development goals, leads to simultaneous consideration of all economic, environmental and social factors. This paper addresses the design of a sustainable closed-loop supply chain including suppliers, manufacturers, distribution centers, customer zones, and disposal centers considering the consumption of energy. In addition, the distribution centers play the roles of warehouse and collection centers. The problem involves three choices of remanufacturing, recycling, and disposing the returned items. The objectives are including the total profit, energy consumption and the number of created job opportunities. As far as we know, these objectives are rarely considered in a sustainable closed-loop supply chain model. The proposed model also responds to the customer demand and also addresses the real-life constraints for location, allocation and inventory decisions in a closed-loop supply chain framework. Another novelty of this research is to develop a set of efficient Lagrangian relaxation reformulations and fast heuristics for solving a real-world numerical example. The results have revealed that the obtained solution is feasible and the developed solution algorithm is highly efficient for solving supply chain models. Finally, a comprehensive discussion is provided to highlight our findings and managerial insights from our results
CEO power and corporate social responsibility decoupling
No full textInternational audienceWhile extending the scarce literature on determinants of corporate social responsibility (CSR) decoupling, we examine the impact of CEO power on CSR decoupling. Using panel data of US firms for 2002–2017, we find that CEO power increases CSR decoupling. Our results remain consistent after controlling for the endogeneity problem. Aligned with the managerial power theory, our results suggest that firms with powerful CEOs are more likely to manage CSR performance through decoupling
Eliciting brand association networks: A new method using online community data
No full textInternational audienceThis study explores a new methodology called community-aided brand concept map (CA-BCM) for eliciting brand association networks using data collected from technology-enabled online communities. NVivo software is used to qualitatively code these data to 1) uncover how users associate themselves with a brand and 2) use content analysis to quantify each of these associations, leading to the elicitation of a comprehensive network of brand associations and their relationships. Using the example of a movie brand, the new tool CA-BCM effectively uncovers 1) the core, secondary, and tertiary brand associations and 2) classifies the brand associations into strong, favorable, and unique associations. Finally, 3) using these brand association classification data and the brand awareness level, customer brand equity is measured. Pearson correlation is used to provide external validity to the CA-BCM technique, which shows a significant and positive relationship between customer brand equity and market performance. The implications and limitations of this study are presented
Navigating multiple logics: Legitimacy and the quest for societal impact in science
No full textInternational audienceAcademic scientists are encouraged to pursue research that delivers both scientific and societal impact. This may involve a search for alternative mechanisms of social approval which lead to endorsement of scientists’ research goals. We explore how scientists mobilise and accumulate different forms of legitimacy, which might favour their participation in practices related to innovation and societal impact. We propose three specific sources of scientific legitimacy: i) scientists’ social networks (research-related legitimacy ties), ii) prominence in the relevant academic community (reputation-based legitimacy); and direct contact with the primary beneficiaries of the research (beneficiary-based legitimacy). To explain scientists’ participation in activities oriented towards innovation and societal impact, we test the significance of each of these sources of legitimacy and their potential interplay empirically, using a large sample of Spanish biomedical scientists
Machine learning in finance: A topic modeling approach
No full textInternational audienceWe identify the core topics of research applying machine learning to finance. We use a probabilistic topic modeling approach to make sense of this diverse body of research spanning across multiple disciplines. Through a latent Dirichlet allocation topic modeling technique, we extract 15 coherent research topics that are the focus of 5942 academic studies from 1990 to 2020. We find that these topics can be grouped into four categories: Price-forecasting techniques, financial markets analysis, risk forecasting and financial perspectives. We first describe and structure these topics and then further show how the topic focus has evolved over the last three decades. A notable trend we find is the emergence of text-based machine learning, for example, for sentiment analysis, in recent years. Our study thus provides a structured topography for finance researchers seeking to integrate machine learning research approaches in their exploration of finance phenomena. We also showcase the benefits to finance researchers of the method of probabilistic modeling of topics for deep comprehension of a body of literature
The good, the bad, and the ugly: impact of analytics and artificial intelligence-enabled personal information collection on privacy and participation in ridesharing
No full textInternational audienceBig data analytics (BDA) and artificial intelligence (AI) may provide both bright and dark sides that may affect user participation in ridesharing. We do not know whether the juxtaposed sides of these IT artefacts influence users’ cognitive appraisals, and if so, to what extent will their participative behaviour be affected. This paper contributes to the IS research by uncovering the interplay between the dark and bright sides of BDA and AI and the underlying mechanisms of cognitive appraisals for user behaviour in ridesharing. We performed two phases of the study using mixed-methods. In the first study, we conduct 21 semi-structured interviews to develop the research model. The second study empirically validated the research model using survey data of 332 passengers. We find that the usage of BDA and AI on ridesharing platforms have a bright side (usefulness, “the good”) but also a dark side (uncertainty and invasion of privacy, “the bad and the ugly”). The bright side generates perceived benefits, and the dark side shape perceived risks in users, which discount the risks from the benefits of using the ridesharing platform. Privacy control exerts a positive effect on the perceived benefits to encourage individuals to use the ridesharing platform
Effects of hedonic shopping motivations and gender differences on compulsive online buyers
No full textInternational audienceOnline shopping addiction has become a worsening problem in China for males and females. Based on 904 shoppers, this study examines the relationship between hedonic shopping motivations and compulsive online buying and investigates gender differences using gender theories. This study finds that different hedonic motivations contribute to compulsive online buying. Gratification seeking and idea shopping are key motivations for compulsive online buyers (females are mostly gratification seekers, while males are mostly information seekers). Conversely, value and role-play shopping reduce compulsive online buying, with a stronger effect on females; however, role-play shopping was unrelated to compulsive online buying for males
Destigmatisation through social sharing of emotions and empowerment: The case of disabled athletes and consumers of disability sports
No full textInternational audienceThis study examines the role of emotions and empowerment in the destigmatisation of disability. We draw on 12 in-depth interviews with professional disabled athletes and a netnography study of 221 YouTube comments from consumers of disability sport advertising. The findings show that both athletes and consumers share their own emotions or report on their perception of others’ emotions to mutually empower themselves and each other, which reduces stigma related to disability. By integrating the literatures on stigma, emotions and empowerment, we reveal how consumers of advertising contribute to the destigmatisation of others’ devalued social identities. Theoretical and practical implications of the findings related to advertising and inclusion are discussed