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Essays on Social and Behavioral Aspects of Apparel Supply Chains
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Essays on Social and Behavioral Aspects of Apparel Supply Chains. |
| 개인저자 | Saez de Tejada Cuenca, Anna. |
| 단체저자명 | University of California, Los Angeles. Management (MS/PHD) 0535. |
| 발행사항 | [S.l.]: University of California, Los Angeles., 2019. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
| 형태사항 | 154 p. |
| 기본자료 저록 | Dissertations Abstracts International 81-03B. Dissertation Abstract International |
| ISBN | 9781085675963 |
| 학위논문주기 | Thesis (Ph.D.)--University of California, Los Angeles, 2019. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 81-03, Section: B.
Advisor: Caro, Felipe. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 요약 | When we think about Operations Management and Business Analytics, we think about optimization, efficiency, algorithms, optimality, profits and costs, exact quantitative analyses, etc. However, the field was created by humans and for humans. So what is the role of humans in the process of operational decision-making? In this dissertation, we study two aspects of the interface between humans and operational decision making, in the context of the apparel industry. The first part (Chapter 1) is related to social responsibility, i.e., how operational decision making affects workers, communities, and society. The second part (Chapters 2 and 3) shows how human biases affect operational decision-making.In the first chapter, we study unauthorized subcontracting, i.e., when suppliers outsource part of their production to a third party without the retailer's consent. This practice has been common practice in the apparel industry and it is often tied to non-compliant working conditions. Since retailers are unaware of the third party, the production process becomes obscure and cannot be tracked adequately. We present an empirical study of the factors that can lead suppliers to engage in unauthorized subcontracting. We use data provided by a global supply chain manager with over 30,000 orders, of which 36% were subcontracted without authorization. Our results show that there are different factory types, ranging from factories that used unauthorized third parties for all of their orders to factories that used none. Moreover, the degree of unauthorized subcontracting in the past is highly related to the probability of engaging in unauthorized subcontracting in the future, which suggests that factories behave as if they choose a strategic level of unauthorized subcontracting. At the order level, we find that state dependence (i.e., the status of an order carrying over to the next one) followed by price pressure are the key drivers of unauthorized subcontracting. Buyer reputation and factory specialization can also play a role, whereas the size of an order shows no effect. We find that the main effect (state dependence) is tied to factory utilization. Finally, we show that unauthorized subcontracting can be predicted correctly for more than 80% of the orders in out-of-sample tests. This indicates that retailers can use business analytics to predict unauthorized subcontracting and help prevent it from happening.In the second chapter, we study the adherence to the recommendations of a decision support system (DSS) for markdowns during clearance sales. The DSS was implemented at Zara, the Spanish fast fashion retailer. Managers' initial adherence was low, which motivated two interventions: 1. showing a revenue metric |
| 일반주제명 | Operations research. |
| 언어 | 영어 |
| 바로가기 | 
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