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Business school students’ motivations and intentions to pursue a project management career
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Optimal liquidation problem in illiquid markets
No full textInternational audienceIn this research, we develop a trading strategy for the optimal liquidation problem of large-order trading, with different market microstructures, in an illiquid market. We formulate the liquidation problem as a discrete-time Markov decision process. In this market, the flow of liquidity events can be viewed as a point process with stochastic intensity. Based on this fact, we model the price impact as a linear function of a self-exciting dynamic process. Our trading algorithm is designed in such a way that when no favourite orders arrive in the Limit Order Book (LOB), the optimal solution takes offers from the lower levels of the LOB. This solution might contradict conventional optimal execution methods, which only trade with the best available limit orders; however, our findings show that the proposed strategy may reduce final inventory costs by preventing orders not being filled at earlier trading times. Furthermore, the results indicate that an optimal trading strategy is dependent on characteristics of the market microstructure
Greenfluencers as agents of social change: the effectiveness of sponsored messages in driving sustainable consumption
No full textInternational audienceThis study aims to examine the role of message appeals (concrete vs abstract) posted by greenfluencers in determining their behavioral intention toward the sponsored sustainable product. This study examined the underlying mechanism of message authenticity and product sustainability image in this relationship. This study also investigated the boundary condition of product type (utilitarian vs hedonic) in the effect of sustainability message appeal on purchase intention. Four studies were carried out. One field experiment on Facebook and three scenario-based online experiments were conducted to test the proposed relationships. Findings This study found that a concrete message appeal results in a higher purchase intention of the promoted product than an abstract message appeal. This effect is a result of message authenticity and product sustainability image. Furthermore, product type moderates the impact of message appeal on behavioral intention via message authenticity and product sustainability image. This study contributes to the literature on influencer marketing, sustainability communication and the persuasion process. Practical implications This study’s findings provide insights for greenfluencers and firms that leverage greenfluencers to promote their sustainable products on social media. Specifically, it lays out how the sustainability message should be framed to be persuasive. This study findings offer novel insights for greenfluencers and firms in developing effective message strategies to promote sustainable products on social media
Online retailers’ platform-based Worry-Free-Shopping: Retailing strategy considering consumer valuation bias
No full textInternational audiencePlatform-based Worry-Free Shopping (WFS) is an emerging retail service system developed by online platforms. Online retailers on such platforms can actively decide whether to provide WFS services for consumers. If WFS service is offered, a WFS logo will be displayed on the product information page by the platform. Although WFS can enhance consumers’ willingness to pay, it incurs cost for online retailers and may cause more product returns due to valuation bias. This paper investigates when an online retailer on a platform should offer customers WFS, and it explores the detailed effects of WFS on the retailer, platform, customers, and society. We find that both the retailer and platform do not necessarily benefit from WFS. Although the platform can take a “hands-off” attitude towards the retailer in most cases, they may have conflicting interests while providing WFS, so we have developed a mechanism to coordinate their benefits. Our results explain why the platform develops such a WFS service system, and when it should incentivize the online retailer to offer WFS to customers. Furthermore, WFS always hurts customers when the valuation bias is small, while it may favor the society when the WFS cost is low. In extensions, we verify the robustness of our results and also get new insights. First, a small product salvage value motivates the platform to encourage the retailer to offer WFS. Second, though a larger proportion of overestimating customers always benefits the platform, it may hurt the retailer when it is less than a threshold. Finally, a larger heterogeneity in valuation increment allows the retailer to charge higher price and benefits the platform
A non-linear analysis of the impacts of natural resources and education on environmental quality: Green energy and its role in the future
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Insourcing versus outsourcing decision under environmental considerations and different contract arrangements
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Brokerage that works: Balanced triads and the brokerage roles that matter for innovation
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Stochastic medical tourism problem with variable residence time considering gravity function
No full textInternational audienceMedical tourism is a recent term in healthcare logistics referring to travel of patients to receive health services and spending leisure time in a destination country. This transferring of patients leads to access high-quality health services which are cheaper than the original country of patients. During this travel, passengers who are the patients from another country, have this opportunity for complimentary entertainment packages ( e.g. , pleasure tours) in the aftercare period. As far as we know, the term of medical tourism is rarely studied in healthcare logistics and such services are highly important for developing countries. Such facts motivate us to develop a practical optimization model for the Medical Tour Centers (MTCs) for allocation of patients to hospitals in proper time and creation of memorable aftercare time for them. In this regard, the main aim of the proposed model is to maximize the total profit of MTCs through optimal allocation of patients to hospitals while considering an aftercare tour for the passengers. To make the proposed model more realistic, the optimal residence time in attractive places is simulated by a time-dependent gravity function. To address the uncertainty of medical tourism problem, a scenario-based two-stage stochastic optimization approach is extended to encounter different sources of uncertainty existing in surgical success, medical time, restoration restrictions, and the attraction of tourist places. Another novelty of this work is to propose an innovative hybrid meta-heuristic for large-scale instances, which is a combination of Progressive Hedging Algorithm (PHA) and Genetic Algorithm (GA). The model is analyzed by different test problems for small, medium, and large-scale instances where the hybrid meta-heuristic algorithm could solve them with an average gap of 3.4% in comparison with the commercial solver. The results revealed the importance of tourist opinion and public preferences in medical and pleasure tours, respectively, to improve the economic growth in this sector in developing countries
Organizational Learning From Hidden Improvisation
No full textInternational audienceResearch has identified improvisation as a creative and open activity that can be harnessed to encourage innovation and learning within the organization. In this paper, we present improvisation as a covert phenomenon, occurring in a climate of mistrust and fear of censure, and disconnected with wider organizational learning. Drawing on qualitative evidence of a Fire Service in the United Kingdom, we explore hidden improvisation, and identify the conditions and processes that can connect these local deviations to wider processes of learning. We show that while most improvisations remain hidden and contained to avoid wider scrutiny, certain conditions of frequency, connectedness and scale escalate events to become more visible to supervisors and managers. The learning outcomes from these visible improvisations will then depend on management’s interpretation, evaluation and translation of improvising behaviours. Dependent on prior relationships of trust and credibility, middle management perform a key brokering role in this process, connecting previously hidden improvisation to wider organizational systems and structures