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Does eco-innovation foster or hinder environmental performance? Recent evidence from Europe
No full textInternational audienceThis study investigates the impact of country-level eco-innovation policies on the environmental performance of European firms. As different industries are expected to produce more pollution, the study then explores the impact on the firms operating in sensitive industries. We use fixed effects panel data models to examine 1,098 firms listed in 22 European countries from 2010–2018. Our results indicate that country-level eco-innovative policies provide an encouraging environment for European firms to adopt environment-friendly practices. Eco-innovation policies help firms achieve CO2 targets and mitigate climate change which supports the product stewardship theory. Our results also suggest that larger, more profitable, and low debt-financed European firms have better environmental performances. We also find a moderating impact of industry sensitivity and make an intriguing discovery that country-level eco-innovation policies hinder the environmental efforts of the firms operating in sensitive European industries. These results are robust to different proxies of eco-innovation and endogeneity issues due to reverse causality
How to deal with customer and supplier concentration to attain sustainable financial growth? The role of business strategy
No full textInternational audienceFor effective supply chain management, firms should focus on the relationship with their immediate stakeholders in the supply chain, namely, suppliers (upstream) and customers (downstream). This study investigates the impact of customer and supplier concentration as well as business strategy on sustainable financial growth, using financial data of 2021 Chinese non‐financial firms listed from 2006 to 2020. Additionally, it explores the moderating effect of business strategy on the relationship between customer and supplier concentration and sustainable financial growth. We find that higher customer and supplier concentration weakens the bargaining power of Chinese firms, which reduces their financial growth. However, an appropriate business strategy can help such firms achieve sustainable financial growth. We find that an aggressive business strategy moderates the negative impact of supplier concentration, while a defensive business strategy moderates the negative impact of customer concentration on financial growth. Finally, our results for the direct impact of customer and supplier concentration as well as business strategy hold for state‐owned and non‐state‐owned firms. However, we find differences regarding the moderating impact of business strategy between state‐owned and non‐state‐owned firms. Our results are robust to time and industry fixed effects, alternate proxies of financial growth and regression techniques
New Product Development Process Execution, Integration Mechanisms, Capabilities and Outcomes: Evidence from Chinese High‐Technology Ventures
No full textInternational audienceAbstract This study examines new product development (NPD) processes in high‐technology new product ventures in the emerging market context. Drawing upon the knowledge‐based view and the capability‐based view, we propose a model that characterizes relationships between NPD process execution stages and product competitive advantage, and accounts for the moderating effects of NPD integration mechanisms on these relationships. Our model also explains how pricing capabilities can become a liability that undermines how product advantage impacts new product performance. We test this framework within an emerging market context that has been notably absent from the literature. Our data are generated from 187 new product projects and a follow‐up of 83 projects, from Chinese high‐technology ventures. We identify important theoretical interdependencies within our structural model results. Specifically, marketing–technical integration positively moderates the relationship between product development and testing capability and commercialization capability, while new product implementation capability positively moderates the relationship of commercialization capability and product competitive advantage. Yet, penetration pricing capability negatively moderates the link between product competitive advantage and new product performance
Travelers’ Psychological Ownership: A Systematic Review and Future Research Agenda
No full textInternational audienceScholarly interest in research on travelers’ psychological ownership has recently increased given its relationship with traveler behavior. This study provides a systematic literature review centered on travelers’ psychological ownership, thus organizing extant work and developing guidelines for future research. We employ bibliometric analysis to reveal current research progress in the domain, acknowledge influential contributions, and identify major research streams. Then we use framework-based thematic analysis and develop a Targets-Antecedents-Consequences-Interventions (TACI) framework to explore the theoretical underpinning of travelers’ psychological ownership, yielding structural insights and knowledge gaps. Based on our review, we develop 18 propositions to guide future research. The findings provide academics with a roadmap to advance research on travelers’ psychological ownership
Does industry 5.0 model optimize sustainable performance of Agri‐enterprises? Real‐time investigation from the realm of stakeholder theory and domain
No full textInternational audienceThe research on Industry 5.0 (i5.0) is relatively new and emerging therefore professionals are still striving to reveal its influence globally. This study investigates the impact of industry 5.0 to comprehend the insights into how it optimizes the sustainable performance (STP) within three core streams, that is, economic, environmental, and social perspectives from the realm of stakeholder theory within the Chinese agricultural industry. The results stated that i5.0 positively affects the STP of Agri‐enterprises. The empirical testing additionally affirmed the positive nexus of i5.0 practices toward each dimension of STP such as social, environmental, and economic perspectives based on structural equation modeling. First, it found that i5.0 has a positive correlation with the economic perspective. Second, the findings affirmed the positive linkage between i5.0 and the social perspective. Finally, the study indicated a significant correlation between i5.0 and the environmental perspective. This study provides real‐time empirical evidence for the management of Agri‐enterprises regarding i5.0 and insights into the embodiment of such capabilities to optimize enterprise STP by incorporating i5.0 model. This study presents several theoretical and managerial enrichments for Agri‐enterprises along with future avenues for the researchers to test the i5.0 capabilities toward rest of the sectors across the world
Corporate digitalization, managerial power distance and corporate sustainability performance: evidence from China
No full textInternational audiencePurpose This study aims to investigate the impact of managerial power distance on the corporate sustainability performance of Chinese firms and to explore the regulatory role of corporate digitalization in the Chinese capital market. Design/methodology/approach The study collects data from 2,632 A-share Chinese non-financial firms listed on Shanghai and Shenzhen stock exchanges during the period from 2010 to 2020. The authors apply different panel data regression techniques (fixed effects, GMM-System) to investigate the impact of managerial power distance on corporate sustainability performance and to explore the regulatory role of corporate digitalization in the Chinese capital market. Findings The results of the study show a positive relationship between high managerial power distance and the sustainability performance of Chinese non-financial firms. This positive relationship is particularly pronounced in Chinese state-owned enterprises (SOEs). The results also show that corporate digitalization increases the sustainability performance of Chinese firms. Further, corporate digitalization weakens the positive relationship between high-power distance and the sustainability performance of Chinese firms. These results are robust to alternate sustainability performance measures and various regression techniques. Originality/value To the best of the authors' knowledge, this is the first study that investigates the regulating impact of corporate digitalization on the relationship between managerial power distance and corporate sustainability performance in China
Athletes’ Self-Representation on Instagram and the Implications of Nudity on their Brand Image
No full textInternational audienceAthletes must decide which online self-representation strategy best serves them, including the decision to posting nudity. This study investigates whether male athletes’ experiences differ from those of female athletes and how sponsors, social, and cultural expectations influence their strategies. Guided by impression management and objectification theories, this study compares online impression management practices of sixteen competitive male and female athletes representing eleven nations. Semi-structured interviews were conducted with all athletes, and their responses were compared to their practices based on observation of their Instagram posts. Athletes of both genders face objectification dilemmas when managing their online image. Fear of homophobia is influencing online impressions of male athletes with nude content, while females feel pressured to use nudity to draw more engagement
Pricing and quality decisions in platform-based retailing with targeted promotion
No full textInternational audienceThis paper considers a platform-based supply chain consisting of a firm launching a new product with a targeted promotion strategy based on innovation on a retailing platform. We examine the firm's optimal decisions on pricing, product quality design and promotional effort to deal with market uncertainty. First, with exogenous quality, we show that market size has a positive impact on the optimal effort level, which is contrary to the intuition that the optimal effort level decreases with the existing market size due to concave increasing costs. Furthermore, we study the scenario with endogenous quality but with exogenous price and find that the optimal effort level will decrease with market size if the market size is sufficiently large. Finally, with endogenous effort, price, and quality decisions, our result indicates that the firm exerts more efforts in such a platform-based targeted promotion than in the former scenarios when facing strict industry standards
Disruption management for the electric vehicle routing problem in a geographically flexible network
No full textInternational audienceThe adoption of electric vehicles (EVs) in populated cities is increasing in response to reducing the environmental impact of transportation; however, it also brings new problems to be solved that require innovative solutions such as the optimal use of charged vehicles, the location of charging stations, and managing transportation disruptions in a dynamic environment. This study addresses the problem of recovering a pre-established schedule of an EV when an unexpected disruption occurs. The innovative idea for this problem is reconfiguring the road network by skipping one or more customers while locating alternative points for the temporary storage of consignments initially scheduled to be picked up from (or delivered to) skipped destinations. It is allowed to assign lockers to a neighborhood entailing a set of nodes. This paper designs an integrated form of EV routing problem that simultaneously determines the optimal velocity in each assigned route and the battery recharging policy under a partial charging scheme. The paper also proposes an efficient algorithm based on the Crowd-Learning Particle Swarm Optimization (CLPSO) to solve the large-scale problem. The proposed algorithm surpassed a set of widely used algorithms in the literature using a numerical case study. Computational experiments, based on data from a freight company, demonstrate the effectiveness of the model and CLPSO algorithm. The test results confirm that the developed approach can be a useful reference in practice to provide a robust operation of EVs in metropolitans and populated cities. The results also show that applying all of the proposed recovery actions can significantly reduce the cost of the disruption
Ambulance location routing problem considering all sources of uncertainty: Progressive estimating algorithm
No full textInternational audienceThe main concern of any emergency medical services (EMS) in the world is to provide quality services to emergency calls in the shortest possible time. In this paper, the Ambulance Location Routing problem (ALRP) is proposed that is a mathematical attempt to obtain optimal cost-oriented strategic decisions (locating EMS centers and allocating ambulance fleet) in a way that guarantees service quality factors like response time, service level, and definite treatment time through optimal ambulance routing. In response to the concerns that emergency medical services deal with, in this research, a novel mixed-integer two-stage stochastic programming model is developed that can consider the uncertain nature of parameters like emergency calls, travel times, and pathways, simultaneously. Considering a heterogeneous fleet of ambulances to provide specialized out-of-hospital services and to use the treatment golden time, and considering different types of patients in terms of the need to be transferred to the hospital, are among the most vital innovations of the proposed ALRP. To tackle the computational complexity, a new decomposition-based heuristic method called the Progressive Estimating Algorithm (PEA) is developed. PEA is a modified version of the classic PHA and solves its drawbacks, like the possibility of being placed in a loop or prolonging the solution time by changing the method of calculating the first stage variables in each iteration. Therefore, by considering a large number of scenarios, PEA can reach feasible near-optimal solutions more efficiently. We have employed the actual data of a city with nearly 800.000 population, as a case study to validate the proposed ALRP model and the PEA method. The obtained results demonstrate that the proposed ALRP solution is valid, and the PEA can reach the near-optimal solution, in a very reasonable time, and with no exception, outperform the PHA. The results also show that the ALRP model reduces costs on average by 30% compared to a benchmark model. In addition, it is found that the solution obtained for the case study can reduce costs by 58% compared to the current state of the EMS in this city while guaranteeing the quality of services. Furthermore, the need to use a heterogeneous fleet of ambulances and scattered stations in the region is recommended to improve the performance of EM services. Finally, the unique way of looking at the integrated problem of location, allocation, and routing in the proposed ALRP and the idea of PEA are attractive for further studies in the field of EMS planning and other optimization problems, and several suggestions for future studies are mentioned in Conclusion Section