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Beyond external pressures: How work conditions harm employees' social and environmental responsibilities
No full textInternational audienceAbstract The political and economic sanctions, coupled with the COVID‐19 pandemic, have made work and life difficult for Iranians. In this adverse external work environment, this study aims to understand how internal adverse working conditions such as workplace bullying and a hostile work climate may affect workers' emotional exhaustion and socially responsible behaviors, both inside and outside the workplace. Data were collected longitudinally from 304 full‐time employees in Iran using four survey waves over 12 months. To deepen our understanding of the variables and context of the study, we conducted supplementary interviews with 12 participants. The results show that overall workplace bullying increases emotional exhaustion, which, in turn, decreases two types of socially responsible behaviors among workers: (a) sustainability‐oriented behaviors within the workplace and (b) societal behaviors outside of the workplace. Furthermore, we found that a hostile workplace climate increases workers' emotional exhaustion, which, in turn, reduces their sustainability‐oriented behaviors but not their societal behaviors. We have discussed the managerial implications of these results
Cyber resilience framework for online retail using explainable deep learning approaches and blockchain-based consensus protocol
No full textInternational audienceOnline retail platforms encounter numerous challenges, such as cyber-attacks, data breaches, device failures, and operational disruptions. These challenges have intensified in recent years, underscoring the importance of prioritizing resilience for businesses. Unfortunately, conventional cybersecurity methods have proven insufficient in thwarting sophisticated cybercrime tactics. This paper proposes a novel resilience strategy that leverages Explainable Deep Learning technologies and a Blockchain-based consensus protocol strategy. By combining these two approaches, our strategy enables rapid incident detection, explains the features and related vulnerabilities that are used, and enhances decision-making during cyber incidents. To validate the efficacy of our approach, we conducted experiments using NAB datasets, preprocessed and trained the data, and performed an experimental study on real online retail architectures. Our results demonstrate the effectiveness of the proposed framework in supporting business and operation continuity and creating more efficient cyber resilience strategies that will enhance decision-making capabilities
Quantifying the short-term asymmetric effects of renewable energy on the electricity merit-order curve
No full textInternational audienceAmidst the growing significance of renewable energy, this paper examines the asymmetric effects of renewable energy on electricity prices and transmission flows in the Nordics using hourly electricity data. Employing a novel panel asymmetric fixed-effects method, we quantify the non-linear impact of renewable generation technologies on the electricity supply curve. Contrary to previous research, our analysis challenges the assumption of wind having symmetric effects in electricity markets. Specifically, we suggest that an increase in renewable energy cannot lead to price reductions of the same magnitude as the price increases caused by a decrease in wind. In addition, we investigate interconnections between regions and explore asymmetries in transmission flows due to wind generation. Our findings reveal the presence of asymmetric effects in the Nordic electricity market, highlighting their significance in achieving a secure electricity system. These results offer valuable insights for governments, policymakers, and market participants for optimizing the electricity generation mix, prioritizing flexible systems, and making informed investment decisions
Airfreight forwarder’s shipment planning: Shipment consolidation and containerization
No full textInternational audienceThis study focuses on an airfreight forwarder's shipment planning problem, while considering shipment consolidation and containerization in the international supply chain. Items belonging to different shipments from supplier's manufacturing warehouses are consolidated and loaded into Unit Loading Devices (ULDs) at outbound logistics hubs and to inbound logistics hubs by air transportation, where items are unloaded from the ULDs and distributed to the corresponding retailers by parcel delivery. A three-dimensional multiple bin size bin packing problem is considered, where items are consolidated and orthogonally loaded into ULDs of heterogeneous irregular shapes, where each item has a required latest allowable delivery time. A mixed integer programming model is formulated for the problem, which aims to determine the optimal route planning and feasible packing scheme for the transported items. This study develops a biased random-key genetic algorithm combining a three-dimensional bin packing heuristic to solve the problem. A two-phase greedy heuristic with a chaotic system is designed for the generation of initial population. Additionally, a catastrophe operator and a self-adaptive neighborhood search are put forward to further improve the performance of the algorithm. A numerical experiment is given to demonstrate the feasibility of formulation and effectiveness of algorithm by comparing with ILOG CPLEX, and managerial insights are provided
Anticipated chilly climate for women: the development and validation of a measure
No full textInternational audiencePurpose This study develops a measure of anticipated chilly climate for women and provides initial evidence of its validity. Design/methodology/approach We draw on three studies. Study 1 consisted of three focus groups to gain deeper insights into the meaning of the concept for prospective female jobseekers and generate scale items. In Study 2, we pre-tested job post vignettes ( N = 203), refined the scale items and explored the factor structure ( N = 136). Study 3 aimed to determine the convergent and discriminant validity of the new scale ( N = 224) by testing its relationships with organisational attractiveness, person-organisation fit perceptions and gendered language. Findings The results show that the anticipated chilly climate is an important concept with implications for applicants’ career decision-making and career growth in the technology industry, where women tend to be underrepresented. Perceptions of anticipated chilly climate comprise expectations of devaluation, marginalisation and exclusion from the prospective employment. The masculine stereotypes embedded in the language of the job posts signalled a chilly climate for both genders, negatively affecting perceptions of fit and organisational attractiveness. Originality/value Most previous studies have focussed on the actual experiences of chilly climates in organisations. We extend this body of literature to anticipatory climates and draw on social identity threat theory and signalling theory to highlight that job applicants make inferences about the climate they expect to find based on job ads. Specifically, they may anticipate a chilly climate based on cues from job ads signalling masculine stereotypes. Whilst the literature has emphasised women’s perceptions of chilly climates within organisations, our results show that both genders anticipate chilly climates with detrimental consequences for both organisations and prospective job applications.This article develops and validates a scale that measures a climate for wome
It is a match! The effect of regulatory fit on new products recommendations
No full textInternational audienceOnline retailers often recommend new products to consumers. The present study examined the influence of regulatory fit on consumers' click‐through intentions of new products recommended by online retailers. We proposed that regulatory fit resulting from aligning the product's regulatory focus and recommendation message's regulatory orientation positively influences click‐through intention of new product recommendations. In a laboratory study (Study 1), we found that regulatory fit increase consumers' click‐through behaviors of new product recommendations. Study 2 replicated the findings of Study 1 in a controlled online experiment and found support for regulatory fit—click‐through intentions relationship. Study 3 found that regulatory fit increases click‐through intentions for new products but not for existing products. Study 4 supported the mediating role of perceived efficacy and boundary condition of consumer innovativeness in the relationship between regulatory fit and click‐through intentions. This study contributes to the literature on new product adoption, regulatory focus, and product recommendation strategies. Furthermore, it helps online retailors develop effective recommendation strategies for new product recommendations
Quand la suppression vaut mieux que la réévaluation : le point d’ébullition de la colère dans les rencontres de service
No full textInternational audienceLes recherches sur la manière dont les évaluations cognitives de multiples signaux de défaillance d’un service se combinent pour générer la colère du client et le rôle des stratégies de régulation émotionnelle (suppression et réévaluation) dans l’atténuation de cette émotion sont encore rares. En utilisant une méthode expérimentale de vignettes d’une situation de défaillance de service auprès de 971 participants, nous montrons que les évaluations cognitives du blocage des objectifs, de la responsabilité d’autrui et du faible contrôle agissent conjointement, de manière indifférenciée, pour augmenter la colère de façon non linéaire. Nous démontrons également que la suppression émotionnelle est bénéfique pour faire face à la colère dans des situations où plusieurs signaux provoquent la colère. Inversement, la réévaluation est plus efficace lorsque les signaux déclencheurs de colère sont moins nombreux. Ce résultat remet en question le point de vue dominant selon lequel la réévaluation est préférable à la suppression pour faire face aux émotions négatives
Do firms walk the talk when economic uncertainty is high?
No full textInternational audienceThe growing influence of stakeholders and unprecedented emphasis on corporate social responsibility (CSR) have significantly changed the way firms operate. To seek legitimacy from stakeholders, firms might implement CSR measures in true essence while others might turn to CSR decoupling (i.e., higher CSR disclosure than performance), which is detrimental to the firm and stakeholders, specifically when facing high economic uncertainty. Using a large dataset of U.S. firms listed between 2002 and 2019, we examine how economic policy uncertainty (EPU) impacts CSR decoupling. Our findings show that EPU and CSR decoupling are positively and significantly associated, suggesting that firms do not walk the talk when economic uncertainty is high. These results expand legitimacy theory by suggesting that corporations use CSR disclosure as a façade to seek legitimacy from stakeholders when faced with high uncertainty. Interestingly, female directors, who are associated with higher ethicality, acquit themselves well when uncertainty is high: gender-diverse boards play a significant role in moderating policy uncertainty's adverse impacts on CSR decoupling. These findings are robust to different regression models, subsample analysis, and endogeneity issues
Does Islamic investing modify portfolio performance? Time-varying optimization strategies for conventional and Shariah energy-ESG-utilities portfolio
No full textInternational audienceThis paper aims to assess the performance of Islamic portfolios vis-à-vis their conventional counterparts across two distinct periods: the pre-COVID-19 era and the COVID-19 era. Departing from prior studies, this study makes a novel contribution by employing an extensive array of 18 portfolio optimization techniques to construct optimal portfolios for conventional stock indices encompassing energy, utilities, and environmental, social, and governance (ESG) dimensions, as well as their Islamic equivalents. Performance comparisons are made utilizing three risk-adjusted performance measures, namely the Sharpe ratio, the Omega ratio, and the Sortino ratio. Our findings reveal that Shariah portfolios outperform conventional portfolios across all performance measures and risk-aversion levels when the most effective optimization methods are employed, both during pre-crisis and crisis periods. Additionally, our analysis highlights certain methods, namely EWMA, GM, DCC, and SHC, which produce portfolios exhibiting superior performance relative to alternative methods, as assessed by risk-adjusted metrics. Furthermore, Islamic portfolios demonstrate higher average returns compared to their conventional counterparts. Notably, incorporating ESG-related stocks into energy and utilities assets significantly enhances average returns, underscoring the potential of ESG investments. Collectively, our findings have noteworthy implications for investors, as they emphasize the role of Islamic stocks as effective diversifiers, yielding favorable resource allocation opportunities during times of crisis as well as stability. However, investors should exercise caution in selecting the optimal portfolio optimization method, as substantial performance disparities exist among different approaches
SIoT robots and consumer experiences in retail: Unpacking repeat purchase intention drivers leveraging computers are social actors (CASA) paradigm
No full textInternational audienceThis study contributes to knowledge on the so far limited understanding of how to manage collaboration between Social Internet of Things (SIoT) service robots and consumers in the retail context. Embedded in Computers Are Social Actors (CASA) paradigm, we leverage a Partial Least Approach - Structural Equation Modelling (PLS-SEM) (n = 356) to show that word of mouth, consumer promotion experience, relationship quality, and inspiration significantly impact consumers’ repeat purchase intention when SIoT robots are used. Noticeably, while relationship quality is significant, it has a negative coefficient indicating that consumers may have high pre-existing anxiety towards SIoT service robots