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DESCRIPTION:\n\nMr. Jean-Sébastien Matte\, a doctoral student at McGill Uni
 versity in the area of Operations Management will be presenting his resear
 ch proposal entitled:\n\nECOWISR (Excess Consumption\, Overproduction and 
 Waste: Impact Solutions through Reduction): The Case of the Fast Fashion I
 ndustry\n\nThursday\, May 2\, 2024 at 11:00 am – 1:00 pm\n\n(The presentat
 ion will be conducted on Zoom)\n\nStudent Committee Chair: Professor Mehme
 t Gumus\n\nPlease note that the presentation will be conducted on Zoom and
  only the student and committee members may participate.\n\n\nABSTRACT: \n
 \nThere is an increasing call for the fast fashion industry to lower its e
 nvironmental impact. My dissertation studies different aspects of this cha
 llenge from a behavioural operations perspective.\n\nThe first chapter stu
 dies how product variety and heterogeneity in preferences affect customer 
 choices. Using a large\, event-based clickstream dataset provided by one o
 f Europe’s largest fast fashion retailers\, the study characterizes and qu
 antifies the effects of assortment variety on customer choice. The study p
 roposes a novel definition and representation of assortment variety as a b
 ipartite graph\, which allows to define variety along three dimensions. Re
 sults show the dataset has three main segments\, with contrasting utility 
 for economic variables\, variety\, and propensity to convert to a purchase
 . The estimation results also show a combination of linear and nonlinear r
 elationship between variety and customer utility. The findings highlight t
 he inherent tensions of offering and efficiently managing large product va
 riety to please different customer types.\n\nThe second chapter studies ho
 w fast fashion retailers can lower the environmental impact of their assor
 tments by balancing profit maximization and impact minimization. The study
  uses an experimental and data-driven approach to answer this question by 
 combining an incentive aligned choice-based conjoint (IA-CBC) experiment a
 nd in-between subject education manipulation (to study the effect of consu
 mer education on environmental preferences)\, a Hierarchical Bayes Multino
 mial Logit (HB-MNL) estimation model\, and a multi-objective product-line 
 and pricing optimization. By progressively tightening the environmental im
 pact constraints the study reveals the profit-environmental impact trade-o
 ff. The results offer novel insights into consumer preferences for three e
 nvironmental attributes (Recycled Content\, Durability\, and Circularity D
 esign)\, the effect of consumer education on environmental preferences\, a
 nd the impact of environmental constraints on business performances. Furth
 ermore\, the study provides managers with a fully integrated decision-supp
 ort tool.\n\nThe last chapter studies overproduction in fast fashion and e
 xamines whether the inefficacy in the industry comes from the inability in
  the models to address uncertainty in consumer demand\, or from the lack o
 f deterrents to overproduction (e.g.\, lenient regulations). The study use
 s a robust product-line and inventory model in which uncertainty in consum
 er preferences is de-aggregated into two components: heterogeneity in tast
 e\, and uncertainty in measurement. The former is captured with by paramet
 rizing the demand function as a mixture of Multinomial Logit (MNL) models\
 , while the latter is captured through one of the product attributes (Styl
 e/Trend). The study uses a synthetic dataset of choice data for products d
 efined using 4 attributes and price.\n\nThe results from the studies provi
 de several managerial insights and readily-implementable tools\, as well a
 s strong policy implications that can help in solving the many environment
 al challenges the fast fashion industry is facing.\n
DTSTART:20240502T150000Z
DTEND:20240502T170000Z
SUMMARY:PhD Research Proposal Presentation: Jean-Sébastien Matte
URL:https://www.mcgill.ca/channels/channels/event/phd-research-proposal-pre
 sentation-jean-sebastien-matte-357066
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