Informs Annual Meeting 2017

SB48

INFORMS Houston – 2017

3 - Parallel Algorithms for Flow Shop Scheduling Subject to Limited Machine Availability Yumei Huo, City University of New York, Staten Island, NY, United States, Yumei.Huo@csi.cuny.edu In this paper, various parallel ant colony algorithms (PAC) and parallel tabu search algorithms (PTS) are presented and applied to Permutation Flowshop Scheduling Problem subject to limited machine availability. The objective is to minimize total flowtime criterion. This problem is proved to be NP-complete in a strong sense for more than one machine even when machines are always available. PACs and PTSes are based on the classical ant colony and tabu search algorithms. Various platforms are considered, including Message Passing and shared memory. All parallel algorithms will be compared with monte carlo algorithm and will be compared with each other in terms of both performance and CPU times. 4 - Integrated Production and Two-stage Delivery Scheduling: Offline and Online Algorithms Zhi-Long Chen, University of Maryland, Robert H. Smith School of Business, Dept of Decision, Operations & Info Tech, College Park, MD, 20742-1815, United States, zchen@rhsmith.umd.edu, Lixin Tang, Feng Li We study integrated production and distribution scheduling problems that arise in practical make-to-order settings in several industries. In these problems, make-to- order products are first processed in a plant, and then delivered to customer sites through two stages of shipping: first, from the plant to a pool point (e.g., a port, a distribution or a consolidation center), and second, from the pool point to customer sites. We consider both offline and online problems, propose several heuristics, and analyze their worst-case and asymptotic performance ratios. The heuristics are tested computationally using both real data from a company and randomly generated data. 360F Economics of Digital Channels Sponsored: EBusiness Sponsored Session Chair: Yi-Chun Ho, George Washington University, Washington, DC, 20052, United States, chadho@gwu.edu 1 - The Impact of the Sharing Economy on Household Finance Tingting Nian, University of California, Irvine, Irvine, CA, United States, tnian@uci.edu Powered by digital technologies, many peer-to-peer platforms or what is called the sharing economy have emerged in the past decade. While the impact of the sharing economy has received a great deal of attention in the past couple of years, extant research hasn’t fully documented the impact of the sharing economy on consumers, workers, industry and the society as a whole. In this study, we exploit the geographic and temporal variation in Uber’s entry to examine the impact of Uber’s entry on the personal bankruptcy rate as well as other consumer credit default rates. 2 - Reward on User Generated Content Zixuan Meng, University of Washington, 2021 NE 90th St Apt A501, Seattle, WA, 98115, United States, zxmeng@uw.edu The value of user-generated content has been heatedly discussed and strongly emphasized in the past few years. However, most of the studies attribute such value to social capital gain and few studies have been conducted on how the value of content could be monetarized. Using a unique setting where readers can voluntarily provide monetary reward to content-generators, we intend to analyze how monetary incentive influences content-generators’ behavior. We further analyze how change in rewarding policies would change users’ content generation and rewarding behavior. 3 - The Impact of Verification in Online Matching Markets: Evidence from a Randomized Field Experiment Lanfei Shi, University of Maryland, College Park, MD, United States, lanfeishi@rhsmith.umd.edu, Siva Viswanathan Online matching markets suffer from significant information asymmetries. Online dating, in particular, has been challenged by fake profiles and scams, and markets have resorted to verification as a mechanism to mitigate such issues. While it is generally believed that verification is beneficial, it is not clear what type of users would choose to verify their credentials given an option, and what are the outcomes of such choices. In collaboration with one of the leading online dating platforms in the US, we design and conduct a randomized field experiment to answer these questions. Our findings provide insights on how to effectively leverage verification. SB47

4 - Crowding-out Effect Mitigation through Intervention Strategies Shun-Yang Lee, University of Connecticut, Storrs, CT, United States, shun-yang.lee@uconn.edu, Dandan Qiao, Qiang Wei, Andrew Whinston Monetary incentives are often used to motivate individuals’ pro-social behaviors. However, incentives are known to result in the crowding-out effect, which dampens individuals’ intrinsic motivation and leads to lower contribution quality, typically exemplified in the form of information bias. In this paper, we conduct randomized experiments to investigate ways to overcome the crowding-out effect of monetary incentives. Our results suggest that monetary incentives, when combined with appropriate intervention strategies such as goal-setting and challenge-seeking, can motivate users to increase their contribution quantity without hurting the quality. Additional experimental results suggest that the moderating effect of these intervention strategies is heterogeneous, with low- altruistic individuals benefiting the most from the intervention. Our research contributes to the study of incentive provision and pro-social behaviors and has significant theoretical and practical implications. 361A Bringing Behavioral Operations Into the Classroom Sponsored: Behavioral Operations Management Sponsored Session Chair: Ryan Buell, Harvard Business School, Morgan Hall 429, Boston, MA, 02163, United States, rbuell@hbs.edu 1 - Exercise Exploring Behavioral Ideas in Service Ops Michael Dixon, Utah State University, Logan, UT, United States, mike.dixon@usu.edu Services are a ripe area to use to teach, apply, and consider multiple behavioral principles. This in-class exercise introduces students to a berth of such principles and challenges students to consider how different service industries apply, or could apply these principles. The exercise allows students to appreciate the importance of behavioral concepts in the management and design of service operations and introduces them to a wide array of ideas in behavioral research. The exercise can be used as an introduction to the importance of behavioral ideas in and operations management or services management course. 2 - Breakfast at the Paramount: A Case Study on Queuing Dynamics Ryan Buell, Harvard Business School, Morgan Hall 429, Boston, MA, 02163, United States, rbuell@hbs.edu The Paramount is a 44-seat diner on Charles Street in the Beacon Hill neighborhood of Boston. A frequent “Best of Boston” award winner, the restaurant is a perennial favorite among locals and tourists, particularly for brunch on the weekends, when lines often stretch down the street. The case focuses on the restaurant’s interesting seating policy and a recent increase in the popularity of carryout orders, which poses a threat to the service experiences of customers and the sustainability of the operation. The session will introduce the multimedia case study, and how it can be used to teach the analytical and behavioral dynamics of queues in courses on operations management and service operations. 3 - Sharing the Risk: A Classroom Experiment for Teaching About Supply Chain Contracts Karen L.Donohue, University of Minnesota, SCO.Department, 321 19th Street Avenue S, Minneapolis, MN, 55455, United States, donoh008@umn.edu, Yinghao Zhang We describe an activity for introducing students to issues that can arise in using risk-sharing contracts (e.g., buyback and revenue sharing). The activity consists of two exercises where students take on the role of a supplier, first choosing what contract to offer, and second setting contract parameters for one of the contract types. In discussing the outcomes, students discover that the profit margin of a product (whether it is high versus low margin) leads to differences in contract preferences and performance. This provides an opportunity to introduce two important behavioral factors, loss aversion and prospective accounting, that help explain these results. 4 - Behavioral Drivers of Learning Bradley R. Staats, University of North Carolina at Chapel Hill, Campus Box 3490, McColl 4721, Chapel Hill, NC, 27599-3490, United States, bstaats@unc.edu Pal’s Sudden Service is a quick service restaurant that has created a unique operating model that focuses on process control and improvement. The company treats the restaurant business like a manufacturing operation and was the first restaurant to win the Baldrige Quality award. At the same time the company has high employee engagement and together this has lead to excellent operating and financial performance. The case examines how it has architected an organization to learn and grow. This session will introduce the case and how it can be used to teach about behavioral drivers of learning. SB48

51