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X-WR-CALDESC:Events for IORA - Institute of Operations Research and Analytics
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DTSTART:20230101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Singapore:20240202T100000
DTEND;TZID=Asia/Singapore:20240202T113000
DTSTAMP:20260419T115108
CREATED:20240126T150453Z
LAST-MODIFIED:20240126T150604Z
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SUMMARY:DAO-IORA Seminar Series - Canberk Ucel
DESCRIPTION:  \n\n\n\n\nName of Speaker\nCanberk Ucel\n\n\nSchedule\n2 February 2024\, 10am – 11.30am\n\n\nVenue\nI4-01-03 Seminar Room\n\n\nLink to Register\nhttps://nus-sg.zoom.us/meeting/register/tZcvcuivqDMjGdS7y3CPbCx_Y701qvieVxVJ\n\n\nTitle\nThe Value of Advice: Evidence from Thousands of Smallholder Farms in the Philippines\n\n\nAbstract\nIncreasing the productivity of Philippine coconut farms that are well below world standards could improve the livelihoods of 3.4 million farming families\, most suffering poverty. Government and supporting organizations have long promoted Good Agricultural Practices (GAPs)\, which decades of public research suggests would double farm productivity with little capital investment\, but have failed to achieve widespread adoption and productivity gains. We study the role of access to change agents in facilitating GAP adoption and effective implementation using proprietary data on the productivity\, granular farming practices and characteristics of 1\,998 smallholders. Our quantitative analysis leverages the pseudo-exogenous variation in agricultural extension office locations to find that being within 8 kilometers of an extension office is associated with greater awareness of central recommendations for 7 of 8 GAPs\, increased adoption rates for three most effective GAPs\, and 36% higher productivity\, on average\, on otherwise comparable farms. Our post-hoc analysis further suggests that physical interactions enable change agents to support complex practice adoption and local implementation decisions. Moreover\, we find significant heterogeneity in the effects of agent access\, and offer facility reallocation and farm visit schedules to improve service coverage and effectiveness using existing agent capacity. Our results suggest that supporting organizations should integrate change agent support or otherwise focus on developing better customized farming advice\, integrate farmer feedback\, and assist smallholders with the finer details of implementation leveraging emerging information technologies. Evidence-based provision of advisory services\, extended beyond the Philippine context\, could potentially benefit two billion people worldwide dependent on smallholder farms\, and redound benefits to small heterogenous firms that dominate vital functions in other industries. We suggest new avenues for research on data-driven\, evidence-based improvements in the provision and design of advisory services\, e.g. related to optimal facility allocation and agent visit schedules and the development and communication of effective operational recommendations.\n\n\nAbout the Speaker\nCanberk Ucel is an Assistant Professor at Bilkent University in Turkey and a Visiting Scholar at INSEAD.  He completed his PhD in Operations\, Information and Decisions at the Wharton School at the University of Pennsylvania in 2022\, and also holds an undergraduate degree in Industrial Engineering from Bilkent University. He is strongly interested in studying operational and organizational issues in understudied industries facing complex social\, economic and environmental challenges\, and his current research focuses on the agriculture industry\, which contributes significantly to environmental conservation and economic development\, and employs most of the world’s poorest workers. His research\, which has been recognized by several academic awards\, leverages proprietary\, granular farm operations data he collected through several industry partnerships he built during his doctoral studies\, as well as extensive field work\, to generate practical recommendations for farmers\, companies and policymakers to advance key economic\, social and environmental goals. He strives to translate his research into positive change in the industry\, including through large-scale randomized controlled field trials\, and advocates agriculture as a fruitful context for managerial and operational research with potential to generate significant societal impact. His teaching experience spans various MBA\, graduate and undergraduate courses at Wharton  and Bilkent related to operations\, supply chains\, and data analytics and statistics\, and includes writing teaching cases\, migrating courses online\, and designing and teaching new class sessions and courses.
URL:https://iora.nus.edu.sg/events/dao-iora-seminar-series-canberk-ucel/
CATEGORIES:IORA Seminar Series
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BEGIN:VEVENT
DTSTART;TZID=Asia/Singapore:20240216T100000
DTEND;TZID=Asia/Singapore:20240216T113000
DTSTAMP:20260419T115108
CREATED:20240206T143510Z
LAST-MODIFIED:20240206T143549Z
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SUMMARY:DAO-IORA Seminar Series - Kai Hoberg
DESCRIPTION:  \n\n\n\n\nName of Speaker\nKai Hoberg\n\n\nSchedule\n16 February 2024\, 10am – 11.30am\n\n\nVenue\nI4-01-03 Seminar Room\n\n\nLink to Register\nhttps://nus-sg.zoom.us/meeting/register/tZYuceusrjouE9P7Pu7BAYbWh7quOmNJ-xcw\n\n\nTitle\nUsing (inaccurate) data to drive better supply chain decision making\n\n\nAbstract\nMore and more data is available to improve supply chain decision making but it needs to be carefully applied considering human limitations. Against this background\, I will present two studies that focus on the role of human judgment in supply chain management decision making\, first exploring the influence of planners’ adjustments to AI-generated demand forecasts and second examining the effectiveness of human decision-making in inventory management subject to inaccurate data. Study 1 investigates the role of human judgment in demand forecasting. We analyze planners’ adjustments to AI-generated forecasts using a dataset containing 30 million SKU-store-day level forecasts and associated variables. We employ random forest and decision tree approaches to understand the drivers and quality of adjustments. Our findings suggest product characteristics such as price\, freshness\, and discounts are important factors in adjustments. Large positive adjustments are frequent but often inaccurate\, while large negative adjustments are accurate but less common which indicates behavioral biases. In Study 2\, we focus on decisions made under the inaccurate inventory data due to shrinkage and loss. We explore the trade-off between cleaning inventory data centrally and allowing decision makers to adjust ordering decisions based on their judgment. In light of human biases in decision making\, we present a set of hypotheses on the cleaning-adjustment trade-off and test them in a laboratory setting. The study raises questions about the effectiveness of normative models in determining whether to clean data centrally or rely on decision makers’ judgments\, providing insights into optimizing human knowledge utilization in supply chain management.\n\n\nAbout the Speaker\nKai Hoberg is Professor of Supply Chain and Operations Strategy at the Kühne Logistics University in Hamburg. His research focuses on supply chain analytics\, the role of technology in supply chains\, and supply chain strategy. His research findings have been published in academic journals like Journal of Operations Management\, Production and Operations Management or Journal of Supply Chain Management. Kai was a visiting researcher at international universities such as the National University of Singapore\, Cornell University\, the Israel Institute of Technology and the University of Oxford.  Prior to his return to academia\, he was a project manager in the operations team at Booz & Company. For the past 10 years he has supported the McKinsey Supply Chain practice in teaching and research.  His team at KLU is closely working industry partners such as Bayer\, Procter & Gamble\, Jungheinrich or Infineon.
URL:https://iora.nus.edu.sg/events/dao-iora-seminar-series-kai-hoberg/
CATEGORIES:IORA Seminar Series
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BEGIN:VEVENT
DTSTART;TZID=Asia/Singapore:20240226T100000
DTEND;TZID=Asia/Singapore:20240226T113000
DTSTAMP:20260419T115108
CREATED:20240221T025022Z
LAST-MODIFIED:20240221T025048Z
UID:20140-1708941600-1708947000@iora.nus.edu.sg
SUMMARY:DAO-IORA Seminar Series - Mohamed Mostagir
DESCRIPTION:Name of Speaker\nMohamed Mostagir\n\n\nSchedule\n26 February 2024\, 10am – 11.30am\n\n\nVenue \nBIZ1- 0203\n\n\nLink to Register\nhttps://nus-sg.zoom.us/meeting/register/tZUrc–gqj4uE9WGbEbpRoBVA4DGCZes88wN\n\n\nTitle\nA Theory of Ghosting\n\n\nAbstract\nGhosting is a phenomenon where communication between two parties abruptly stops after one side becomes deliberately unresponsive. This occurs in a variety of settings\, but the term entered the mainstream after its usage to describe an important aspect of the dating experience that has been sparsely studied. Both online dating platforms and their users report that ghosting is one of the primary drivers hurting user experience and preventing good outcomes. We develop a model of ghosting and study the efficacy of different policies that platforms have implemented to deal with this problem.\n\n\nAbout the Speaker\nMohamed Mostagir is an associate professor of Technology and Operations at the University of Michigan Ross School of Business. He is interested in social learning and belief formation and their applications in a wide variety of settings.
URL:https://iora.nus.edu.sg/events/dao-iora-seminar-series-mohamed-mostagir/
CATEGORIES:IORA Seminar Series
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