Collection HAL Kedge Business School
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Challenge–Hindrance Stressors, Helping Behavior and Job Performance: Double‐Edged Sword of Religiousness
No full textInternational audienceBuilding on conservation of resource (COR) theory, this study adds to the business ethics literature by examining howemployees' religiousness might help them cope with a stressful work environment. In doing so, this study examines the differential efects of challenge and hindrance stressors on employees’ job performance and their helping behaviors; and themoderating role of religiousness in this process. Findings from a multisource and three-wave survey data, collected fromdyads of employees and their supervisors in Pakistan-based organizations, indicate that challenge stressors positively predictemployees' job performance; however, the link between challenge stressors and helping behavior was not signifcant. Religiousness invigorates both these relationships such that the employees with high religiousness exhibit higher job performanceand helping behavior when confronted with challenging stressors. In contrast, hindrance stressors had a negative efect onemployees' job performance and their propensity to engage in helping behaviors. Religiousness mitigates this negative efectof hindrance stressors such that the efect is weaker for employees who can draw strength from their religiousness. Finally,this paper discusses the theoretical and practical implications of the study’s fndings and ofers directions for future research
A Big-Data-Driven Matching Model Based on Deep Reinforcement Learning for Cotton Blending
No full textInternational audienceChina’s cotton textile industry is undergoing a critical period of digital transformation and upgrading to cope with pressure and challenges such as rising labour costs and large fluctuations in raw material prices. Developing a cost-based competitive advantage while ensuring a high-quality product is a critical problem in intelligent manufacturing. From the perspective of big data and reinforcement learning, the authors designed a reward value combining transaction, interaction, and measurement data by combining the reward mechanism and Markov decision for a combination of different raw materials in the intelligent textile factory. The authors propose a big data-driven application to the depth of the reinforcement learning to solve problems and build a big-data-driven matching model based on deep reinforcement learning to cotton matching. The offline strategy is designed to construct a memory bank and neural network, and the incentive mechanism of reinforcement learning is used to iterate the optimal yarn matching scheme to achieve the goal of intelligent cotton matching. The results show that deep reinforcement learning can be optimised using big data on the premise of quality assurance. Manufacturing costs can be optimised using a matching model of big data based on a deep reinforcement learning model
Loan officer gender and loan repayment performance. Evidence from greenfield microfinance institutions in Cameroon
No full textInternational audienceWe explore whether loan officer gender affects loan repayment performance in Cameroonian microfinance institutions (MFIs). After controlling for demand-side factors (borrower characteristics), lending methodology, loan contract terms, year, and industry fixed effects, we apply a pooled probit model to a unique loan-level dataset including more than 7000 loans approved between 2007 and 2012 by two Cameroonian commercial MFIs. We find that loans granted and monitored by male loan officers perform better than those granted by female officers and that loans approved under joint liability contracts and monitored by male loan officers are less likely to fall into arrears. Our findings also show that the performance advantage of male loan officers over female officers is confirmed only during bad times. Compared to female loan officers, male loan officers seem to intensify their monitoring efforts during a crisis period. The results are robust after controlling for selection bias and are less sensitive to a change in the loan repayment performance measurement
When and why signaling frontline employee inexperience can prove to be an asset: Effects on consumer forgiveness for service failure
No full textInternational audienceAbstractThe extant literature on service failure focuses mainly on how to recover from such incidents. However, companies can act before a service failure occurs to mitigate its negative effects. Building on signaling theory, we adopt a mixed‐method approach based on five studies using different types of analyses (textual and content analysis, and multivariate analysis) to investigate the effect of signaling frontline employee inexperience on customer responses to service failure due to an error committed by an employee. Five studies provide evidence that highlighting inexperience—either informally (through a conversation) or formally (through an in‐training badge)—can act as a signal that prompts customers to be more forgiving toward frontline employees, and such consumer forgiveness then serves as an underlying mechanism to explain repatronage intention. This research also tests and explores the boundary conditions for the effectiveness of the inexperience signal. Our findings have various implications for professionals showing how useful it can be to signal the inexperience of a frontline employee who makes an error that leads to a service failure to be given a second chance, and how certain precautions should be taken to avoid the pitfalls of such a signaling strategy
The dynamic construction of brand storytelling: .
No full textInternational audienceBranding literature has long recognized storytelling as a powerful tool to provide meaning to the brand, and to build relationship between customers and brands. In the literature, there has been a lot of focus on consumer behavior and narrative process, but only a few studies have investigated storytelling from a managerial or strategic branding perspective. This paper aims to bridge this gap by using a single case study based on 18 semi-structured interviews with brand and communication managers. Building on the stakeholder’s co-creation of brand meaning perspective, this research makes use of an in-depth case study in an effort to understand, from the inside, how brand storytelling is implemented and embedded in the communication process, as well as how the new digital ecosystem may challenge the brand storytelling. It provides detailed insights into the dynamic construction of brand storytelling
Stock market reactions to corporate misconduct: The moderating role of legal origin
No full textInternational audienceDoes a country's legal regime shape stock market reactions to corporate misconduct? In the presence of conflicting legal views, efficient regulation through sanctions and deterrence is difficult to establish. Using data from 2164 environmental, social, and governance controversies over the 2010–2015 period, we examine whether the legal regime in which firms operate shapes stock markets reactions to announcement of corporate controversies. We find a larger and consistent stock market correction following corporate misconduct announcements among firms headquartered in civil law countries. As such, we report a greater correction under Scandinavian legal regime that is robust when controlling for endogeneity, self-selection, and country- and firm-level controls. Presence of litigation eliminates the incremental penalty of the civil law while higher internal and external monitoring exacerbates it. Our findings support the optimal penalty theory, in which stock market sanctions are viewed as complementary reputational penalties that balance the limits of legal enforcement mechanisms
Workplace suspicion, knowledge hiding, and silence behavior: A double-moderated mediation model of knowledge-based psychological ownership and face consciousness
No full textInternational audienceSilence behavior is a common and influential phenomenon in organizations. Scholars have explored a lot of antecedents for silence behavior, but rarely from the perspective of colleagues. Based on the conservation of resources theory and self-regulation theory, the study constructs a double-moderated mediating model to explore the relationship between workplace suspicion and silence behavior as well as its mechanism. This study conducts a three-wave questionnaire survey and adopts 303 valid pairs of samples from 23 companies in China to validate the research hypotheses. A confirmatory factor analysis in the AMOS software and the PROCESS bootstrapping program in SPSS is used in this study. Our findings indicate that workplace suspicion is positively correlated with silence behavior; knowledge hiding mediates the relationship between workplace suspicion and silence behavior; knowledge-based psychological ownership moderates this mediating effect by strengthening the negative impact of workplace suspicion on knowledge hiding; and face consciousness moderates the mediating effect by weakening the positive impact of workplace suspicion on knowledge hiding. Managerial and practical implications, limitations, and future research directions are discussed and offered