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Board gender diversity and ESG: the influence of the varieties of capitalism
No full textInternational audienc
Mobile applications to reduce food waste in supply chains: A systematic literature review
No full textInternational audienceWith the launch of mobile applications to reduce food waste, this study reviews scholarly articles to answer the questions: (1) What research topics are extensively discussed in relation to food waste mobile applications (FWMA)? (2) How do these applications impact food waste and food poverty? (3) At which stage of the supply chain are digital applications employed
Carbon Footprinting in Supply Chains: Measurement, Reporting, and Disclosure
No full textInternational audienc
Examining farmers’ motivations to engage in low-carbon agricultural practices: A study of New Zealand dairy farmers
No full textInternational audienceDairy farmers contribute to a quarter of New Zealand's total greenhouse gas emissions (GHG), making them a critical constituency to meet the emissions targets in the country's net zero 2050 legislation. Understanding the motivations behind dairy farmers' intentions is imperative to effect the behavioural change needed to curb the country's emissions from dairy production. Using the theory of planned behaviour (TPB) to understand behavioural change, a qualitative thematic analysis of interview data from New Zealand dairy farmers reveals there is a weak intention to adopt practices to reduce GHG emissions. While farmers appear to be intrinsically motivated to be good stewards of the environment, financial viability remains as their primary concern. Despite considerable societal pressure to reduce the environmental impact of dairy farming, farmers feel there are few options to implement practices to reduce GHG emissions and limited knowledge, expertise, modelled normative behaviours, or financial support. Based on our findings, we develop a set of recommendations for policy and practice to more effectively steer New Zealand dairy farming towards a low-carbon mode of operating. We contribute to the extant literature in three distinct ways. Empirically, we contribute by identifying the factors that underpin farmer decision-making in relation to low-carbon practices. Theoretically, our findings help to refine TPB theorizing by demonstrating how the promise of future technology to solve environmental problems limits motivation and intentionality in the present. Finally, we contribute by adding to the limited body of qualitative research centred on the theory of planned behaviour
Global multi-sourcing network design with inventory planning under uncertainty
No full textInternational audienceIn the current era of turbulence, demand uncertainty and significant supply delays have become recurrent challenges for every global supply chain, which are accentuated by geopolitical issues, regional conflicts, natural disasters, etc. Companies are keen to decide when and where nearshoring and offshoring their supply locations and to adapt their inventory control policies to cope with significant perturbations. To deal with these challenges, we investigate the integration of inventory planning at the strategic level through a novel setting of the location-inventory problem under uncertainty. This problem is characterised by inbound multi-sourcing, order splitting among multiple suppliers, and optimised inventory decisions from sourcing to customers under uncertain demand and lead time. A two-stage stochastic optimisation model is proposed and solved using a Benders decomposition algorithm, supported by a sample average approximation approach. The results show that both lead time and demand uncertainties impact strategic and tactical decisions of the global supply network. Specifically, multi-sourcing and inbound order splitting policies have proven beneficial when the network faces a high lead time uncertainty. Based on an illustrative case of a global automobile spare parts supply network under different supply-side scenarios, managerial insights are gained on the benefit of onshore, nearshore, and offshore decisions. When facing a high lead time uncertainty, as in the pandemic case or any geopolitical episode, our findings suggest the necessity to rely on nearshoring for the supply side
Companies should care about the health troubles of their employees. The results of a French survey on medically assisted reproduction (MAR)
No full textInternational audienceSeveral factors can deeply affect employees’ quality of life at work. Work-life balance, subjective well-being and job satisfaction are three of these factors and it is in the best interest of companies to handle these topics carefully. This is a sine qua non condition of the strength and the quality of relationships with employees. It is also a source of confidence for employees, especially where this is being mediated through Human Resource (HR) processes. Our article studies the quality of life at work in the particular context of an MAR healthcare pathway that exacerbates the consequences for employees. Our work with hundreds of people enduring an MAR process shows that depending on whether firms take this situation into account or not, employees will feel either well-being or ill-being and will have different burnout or job satisfaction levels. All these variables influence their commitment and job performance. These links between a healthcare pathway and quality of life at work on the one hand, and between the quality of work and performance on the other hand, should lead employers to support employees in a personal vulnerable situation. The strength and the quality of the support provided by the HR function and the management is therefore a key point in the level of confidence that exists between firms and their employees
Mediation of psychological contracts between Knowledge diversity, AI-driven climate, sustainability integration and innovative behavior: NCA Analysis
No full textBest Paper Runner Up Paper at AMCIS 2024International audienc
An exact method for machining lines design with equipment selection and line balancing
No full textInternational audienceWe study a line balancing problem for a machining line equipped with multi-positional machines, rotary tables and vertical and horizontal machining modules. For this challenging problem in production research, we develop an innovative mathematical model and use a mixed-integer program to solve it. The model is intensively tested on numerous real-life industrial cases as well as generated randomly instances. The obtained results are carefully analysed in order to provide the decision makers with sound managerial insights
