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    692 research outputs found

    Connecting others: Does a tertius iungens orientation shape the relationship between research networks and innovation?

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    International audienceResearch on social networks and innovation emphasizes that individuals spanning structural holes and crossing institutional boundaries have more opportunities for knowledge recombination and innovation involvement. However, transforming the potential knowledge and resources available through personal networks to attain innovation can be difficult for the focal individual. Using an ego-network approach, this study examines whether and to what extent an individual strategic orientation to cooperation (i.e. tertius iungens) contributes to strengthening the relation between two personal network properties (structural and institutional separation) and involvement in innovation. Our analysis is conducted in the context of biomedicine, where research networks are particularly relevant for science and innovation achievements. Our findings advance social network theory by decoupling social network mechanisms from individual strategic networking behavior as factors influencing knowledge generation processes. Results also provide original evidence on an overlooked phenomenon: the moderating role of a tertius iungens orientation in the relationship between multiple social network properties and innovation. Finally, our research sheds new light on the distinct sources of knowledge recombination in networks and the role of individual networking strategies to facilitate mobilization of resources for innovation

    The Effect of Quality Cues on Travelers’ Demand for Peer-to-Peer Ridesharing: A Neglected Area of the Sharing Economy

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    International audienceThe emergence of the sharing economy has had a tremendous impact on the tourism industry; however, few quality management mechanisms exist for shared tourism services. Based on unique data of 52,248 transactions collected from BlaBlaCar, the world’s leading ridesharing platform, this study examines the independent and combined effects of quality cues on travelers’ demand for peer-to-peer ridesharing services. The findings suggest that intrinsic cues (product reputation and seller reputation) and extrinsic cues (relative price and offer duration) are decisive in increasing demand, and their combined effects can be positive or negative. In addition, analyses of the heterogeneous effects of intrinsic and extrinsic cues across seller segments clarify how consumers evaluate product quality using information from multiple cues. These findings contribute to the literature on tourism and marketing by providing new insights into the design of competitive product offers in the sharing economy

    Understanding the impact of symbolic and substantive environmental actions on organizational reputation

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    International audienceResearch in corporate environmental practices has shown that stakeholders impose coercive and normative forces that drive firms to perform environmental protection actions. However, limited attention has been placed on how different constituents of stakeholders value the firm's environmental actions. By focusing on industry peers as a constituent of stakeholders, we examine how the firm's environmental actions impact its reputation. Based on institutional theory and signaling theory we propose that symbolic environmental actions negatively affect reputation, whereas substantive actions improve firm's reputation among its peers. Building on the notion of signaling process, the authors also observe that a firm's reporting practices moderate positively the negative effect of symbolic actions. Data from a sample of 213 publicly traded firms operating in polluting industries from 2006 to 2013 support these results. The findings emphasize the danger of using symbolic actions to signal environmental commitment in a context of high-involvement information search and opportunistic behaviors

    Game theory-based models in green supply chain management: a review of the literature

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    International audienceThis paper provides a systematic review and analysis of the game-theroy-based research in Green Supply Chains Management (GSCM). Based on a rigorous content analysis of 108 papers carefully selected from the literature, we present a detailed picture of the current state of this research and point to the promising future directions. Our analysis shows a rapid increase in the number of publications during the last three years, with an imbalance in the contribution of the publishing outlets, as nearly two third of the reviewed papers are published by only four journals. Results also show the dominance of deterministic static models and simple two-level SC structures. Developing stochastic models, considering the risk and the evolutionary nature that inherently characterise the business environment and investigating more complex multi-level SC structures are among the promising future research opportunities

    Writing Energy Economics Research for Impact

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    International audienceWe explore the drivers of impact for energy economics research based on an analysis of citations generated by The Energy Journal articles. The focus is on non-topic generators of impact. Our regression analysis shows that these non-topic measures can explain a substantial proportion (about 20%) of variation in future citations. We apply these findings, integrated with prior research on effective economics writing style, to recommend how energy economics articles should be written to increase their impact. These recommendations center particularly around the importance of initial article information provided to the reader and article structure

    Risk analysis in the management of a green supply chain

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    International audienceIn order to implement or maintain a green supply chain (GSC) that produces goods and services responsibly and sustainably, supply chain managers should use tools that allow for the efficient identification, quantification, and mitigation of the ever‐present risks. The objective of the present research is to identify the risk factors associated with the processes involved in GSC management. Based on an analysis of the characteristics of GSC risk, the authors put forward a list of risk design principles and a risk criteria evaluation system for a GSC. Gray relation analysis method was then used to clarify the degree of connection between certain supply chain risk factors and select key risk factors. Finally, Back Propagation Artificial Neural Network (BP‐ANN) method was used to determine the risk level associated with a GSC. The determination of risk level will help companies to develop effective strategic management initiatives in a GSC environment

    Too much of a good thing: Examining the curvilinear relationship between team‐level proactive personality and team performance

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    International audienceResearch has largely shown a positive linear relationship between proactive personality and job performance at the individual level. However, it remains unknown whether the same relationship holds at the team level. In this research, we propose and test a curvilinear relationship between team mean level of proactive personality and team performance. We also examine team potency and team cohesion as the explanatory mechanisms and the dispersion of proactive personality as a boundary condition for the relationship. We conducted two studies to test these ideas. In Study 1, we collected data from 93 teams in four companies from different industries. In Study 2, we collected data from 101 nursing teams in three hospitals. We found a curvilinear relationship between team mean level of proactive personality and team performance in Study 1 and replicated it in Study 2. We further demonstrated in Study 2 the moderating role of dispersion of proactive personality and the mediating role of team potency and team cohesion, respectively, in this curvilinear relationship. The positive trend of the curvilinear relationship is strengthened (weakened) when the dispersion of proactive personality is high (low). The negative trend is mitigated under high dispersion of proactive personality but is not significant under low dispersion of proactive personality. Practically, managers must be aware that team mean level of proactive personality benefits team performance only up to a certain point

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    Portail HAL Rennes SB
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