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Introduction to the special issue on the role of operational research in future epidemics/ pandemics
No full textInternational audienceIn this special issue, 23 research papers are published focusing on COVID-19 and operational research solution techniques. First, we detail the process from advertising the call for papers to the point where the best papers are accepted. Then, we provide a summary of each paper focusing on applications, solution techniques and insights for practitioners and policy makers. To provide a holistic view for readers, we have clustered the papers into different groups: transmission, propagation and forecasting, non-pharmaceutical intervention, healthcare network configuration, healthcare resource allocation, hospital operations, vaccine and testing kits, and production and manufacturing. Then, we introduce other possible subjects that can be considered for future research
The virtuous circle between green product innovation and performance: The role of financial constraint and corporate brand
No full textInternational audienceAlthough the nexus between green product innovation (GPI) and firm performance has been studied, the impact of GPI on firm performance remains little understood and findings have been mixed. These mixed results of prior studies are attributable to failures to incorporate the intervening mechanism in studying the nexus between GPI and firm performance and to examine the impact of closely interlinked pertinent internal boundary conditions. This study attempts to overcome these shortcomings and contributes to the relevant literature in three significant ways. First, the findings indicate that GPI impacts a firm’s financial constraint, which affects its current and anticipated performance. Second, the relationship between GPI and financial constraint is moderated by a firm’s corporate brand equity. Third, GPI is both a predictor and a consequence of financial performance, indicating that the relationship between the two constitutes a virtuous circle. The results are robust to alternative measures of the performance variable and the alternative model estimation method
Commodity futures return predictability and intertemporal asset pricing
No full textInternational audienceWe find out-of-sample predictability of commodity futures excess returns using combination forecasts of 28 potential predictors. Such gains in forecast accuracy translate into economically significant improvements in certainty equivalent returns and Sharpe ratios for a mean–variance investor. Commodity return forecasts are closely linked to the real economy. Return predictability is countercyclical, and the combination forecasts of commodity returns have significant predictive power for future economic activity. Two-factor models featuring the market factor and the innovations in each of the combination forecasts explain a substantial proportion of the cross-sectional variation of both commodity and equity returns. The associated positive risk premiums are consistent with Merton’s (1973) intertemporal capital asset pricing model (ICAPM), given how the combination forecasts predict an increase in future economic activity and a decline in stock market volatility in the time-series. Overall, combination forecasts act as state variables within the ICAPM, thus resurrecting a central role for macroeconomic risk in determining expected returns on commodities
A machine learning study to improve the reliability of project cost estimates
No full textInternational audienceProject managers need reliable predictive analytics tools to make effective project intervention decisions throughout the project life cycle. This study uses Machine learning (ML) to enhance the reliability in project cost forecasting. A XGBoost forecasting model is developed and computational experiments are conducted using real data of 110 projects representing 1268 cost data points. The developed model performs better than some Earned value management (EVM), ML (Random forest, Support vector regression, LightGBM, and CatBoost), and non-linear growth (Gompertz and Logistic) models. The model produces more accurate estimates at the early, middle, and late stages of the project execution, allowing for early warning signals for more effective cost control. In addition, it shows more accurate estimates in most projects tested, suggesting consistency when repeatedly used in practice. Project forecasting studies mainly used ML to estimate the project duration; a few ML studies estimated the project cost at the project’s conceptual stage. This study uses real data and EVM metrics, proposing an effective XGBoost model for forecasting the cost throughout the project life cycle
The Role of Corporate Workplace Inclusivity Policies, Brand Equity, and Innovation Intensity in Firm Profitability: A Moderated Mediational Approach
No full textInternational audienceFirms are increasingly adopting pro-lesbian, -gay, -bisexual, -transgender, inclusivity and diversity (LGBT-ID) policies for workforce management. This study develops a parsimonious, albeit complex, moderated-mediated framework by employing a panel dataset combining data from archival sources and involving a sample of predominantly large and publicly held firms from the USA between 2002 and 2018. The number of observations varied across variables with a minimum of 414 observations (corporate brand equity) and a maximum of 3,566 observations (self-reported LGBT-ID policy). This treatise demonstrates that adopting LGBT-ID policies positively impacts firms’ profitability. Moreover, pro-LGBT-ID policies during this specific period have a positive effect on corporate brand equity, which in turn affects firm profitability, indicating that brand equity plays a mediating role in the nexus between pro-LGBT-ID policies and firms’ financial performance. Furthermore, innovation intensity strengthens the relationship between pro-LGBT-ID policies and brand equity during the sample period of the study
Coparticipant effect in group buying: How coparticipant response speeds affect consumer postpurchase regret?
No full textInternational audienceThe introduction of consumer-initiated models with small group size has increased the popularity of group buying. With lower size requirements for forming buying groups, more impulsive buying is facilitated while more postpurchase regret is spawned. Consumer postpurchase regret not only poses challenges to the coordination of group buying but may also eventually lead to merchant losses. Therefore, understanding the factors that may affect consumer postpurchase regret in group-buying contexts is crucial. Drawing on observational learning theory and expectancy disconfirmation theory, the present study focuses on how the response speeds of group-buying campaign coparticipants intertwined with publicly available information of group-buying deals (i.e., the deal popularity and expected savings) to affect campaign initiators' postpurchase regret. Through secondary data analysis and a laboratory experiment, we find that a lower coparticipant response speed is associated with a higher likelihood of the initiator experiencing postpurchase regret. In addition, when deals have a higher level of popularity, this effect is amplified. Our findings demonstrate the potential importance of considering the coparticipant effect to discourage negative consumer behavior in group-buying contexts
Knowledge network structure and middle management involvement as determinants of TMT members’ ambidexterity: A multilevel analysis
No full textInternational audienc
Impact of failure severity levels on satisfaction and behavior: from the perspectives of justice theory and regulatory focus theory
No full textInternational audiencePurpose This study aims to investigate the moderating role of low and high failure severity levels on recovery satisfaction and on behavioral intentions through recovery satisfaction. This research adopted justice theory and regulatory focus theory to provide further explanations on the inconsistencies in the extant literature regarding service failure and responses to service recovery. Design/methodology/approach This study applied a scenario-based experimental design of two (perceived justice: low vs high) by two (failure severity: low vs high) between-subjects factorial design. Data was collected from 237 mobile phone users recruited via convenience sampling. This study examined the hypothesized relations using Hayes (2018) PROCESS macro version 4.0. Findings Perceived justice had a higher positive effect on recovery satisfaction at a high failure severity level. The direct effect of perceived justice on behavioral intentions was significant and positive only at a high level of failure severity, whereas the indirect effect of perceived justice on consumers’ positive behavior through recovery satisfaction was more positive at a high level of failure severity. Research limitations/implications Justice theory and regulatory focus theory can be used to explain how a well-implemented recovery effort can offset losses that are caused by a highly severe service failure leading to satisfaction and positive responses. However, as this study was conducted within a telecommunication service context, this research needs to be replicated in other areas, including the use of other data collection methods and measurement of consumers’ regulatory focus orientation. Practical implications The findings of this study provide managers with valuable insights into the allocation of service providers’ resources for recovery actions according to consumers’ perceived severity levels to regain consumer satisfaction and continued positive behavioral intentions. Originality/value Past research on the effect of failure severity levels on recovery satisfaction and consumers’ positive behavioral intentions is scant, and those studies that examined severity levels have shown conflicting results. This study attempted to advance the research by examining the relationship between perceived justice, recovery satisfaction and behavioral intentions at low and high failure severity levels using justice theory and regulatory focus theory. None of the theories have been examined concurrently in the service failure and recovery framework
Global value chains and sectoral innovation systems: An analysis of the aerospace industry
No full textInternational audienc
WeChat Moments Among International Students :: Building Guanxi Networks in China
No full textInternational audienceChina is a collectivist nation that varies socially and culturally from most Western countries. Recently, the country has been an attractive destination for international students. A contemporary digital platform such as WeChat Moments (WMs) is a leading social media platform among locals and international students to communicate and interact in cross-cultural settings for various purposes, including maintaining friendships and establishing new social capital. Prior research has overlooked the beneficial effects of such domestic social media platforms on international students in China, especially for strengthening their existing friendship quality and guanxi networking. Based on the self-disclosure theory, this study examines the relationship between international students’ WMs use intensity, online self-disclosure, closeness to friends, and guanxi network building using data from 445 international students employing structural equation modeling. This study reveals that WMs use has a substantial effect on the formation of guanxi networks and that online self-disclosure mediates the connection between WMs use and friendship closeness and guanxi network building. Several theoretical and practical recommendations are provided in the context of the guanxi network