INFORMS 2021 Program Book

INFORMS Anaheim 2021

MB12

2 - Creative Task Constraints and Knowledge Worker Productivity Samer Charbaji, University of Michigan, Ann Arbor, MI, 48105, United States, Roman Kapuscinski, Stephen Leider Knowledge workers often work on creative tasks that involve originality and recognizability aspects. It is unclear how varying recognizability constraints affects a knowledge worker’s productivity in an originality-focused creative task. We conduct a lab experiment that studies the effect of varying the threshold of recognizability constraints on the average originality and recognizability of creative tasks. In the experiment, participants are asked to draw images using a set of drawing materials to depict an object and a set of emoji to depict an action on that object. Their payment depends on the originality of their submitted image on condition that it meets a certain recognizability threshold. The originality and recognizability of each image are determined by external raters. Our treatments examine how different constraints impact participant performance. 3 - On People’s Utility Over Wait Fundamentals and Information Blair Flicker, University of South Carolina, Columbia, SC, 29208- 4011, United States, Russell Charles Hannigan This paper explores the link between people’s utility and fundamental wait features, such as duration, reward, and context via a conjoint analysis study. We find evidence of the intuitive: that people dislike long and variable waits. We run eight experimental treatments which manipulate how waits are presented and find that information about a wait significantly influences people’s utility, independent of the underlying wait. We distill these behavioral effects into a general model of people’s utility over wait fundamentals and information which may be of use to modelers and practitioners alike. MB12 CC Room 304D In Person: Behavioral Operations Job Market Candidate Showcase Panel Session Chair: Rihuan Huang, Cornell University, Ithaca, NY, 14853-6900, United States 1 - Human Decision-making in Dynamic Resource Allocation Jiawei Li, University of Michigan, Ann Arbor, MI, United States Abstract not available at this time 2 - Mitigating the Negative Effects of Customer Anxiety Through Access to Human Contact Michelle A. Shell, Boston University, 2 Crest Dr, Dover, MA, 02030-1820, United States Abstract not available at this time 3 - Designing Procurement Auction with Loss-averse Workers in Online Labor Markets Xianghua (Jason) Wu, College of business, University of Texas At Arlington, Arlington, TX, 76013, United States Abstract not available at this time 4 - Retailer Inventory Sharing in Two-tier Supply Chains: An Experimental Investigation Rihuan Huang, Cornell University, Sage Hall 114 East Ave # 301a, Ithaca, NY, 14853-6900, United States Abstract not available at this time MB13 CC Room 201A In Person: Advances in Power Systems Planning General Session Chair: Kyle Skolfield, Arizona State University, Tempe, AZ, United States 1 - On the Theory of Stability and Hyperbolicity in Electric Power Systems Amin Gholami, Georgia Tech, Atlanta, GA, 30080-8407, United States, Andy Sun Mitigating power system instability is a continuing challenge for system operators. In this talk, we present a new theoretical result on the stability and hyperbolicity of electric power systems. We derive new sufficient conditions to guarantee small- signal stability of equilibrium points in both lossless and lossy power networks. Our results reveal an analog of Braess’s Paradox in power system stability, showing that adding power lines to the system may decrease the stability margin.

We also provide new insights into the effects of damping on the stability and hyperbolicity of equilibrium points. The proposed stability certificates are suitable for real-time monitoring and fast stability assessment in power systems. 2 - Robust Power Systems Planning Against Rising Temperatures with Discrete Transmission Considerations Kyle Skolfield, Arizona State University, ASU, Tempe, AZ, United States As average temperatures continue to rise, the ability of the transmission network to meet demand is diminished. Higher temperatures lead to congestion by reducing thermal transmission limits while simultaneously reducing generation potential. Due to prohibitive costs and limited real estate for new lines, it is necessary to consider topology control to improve the efficiency of the grid. Optimal control, however, requires many discrete choices, rendering fully accurate models intractable. It is necessary to model temperature changes and transmission flows with high spatial resolution. This work proposes a case study of the transmission grid centered in Arizona, using an adaptive robust DCOPF mathematical formulation and corresponding valid inequalities to plan for future transmission expansion, switching, and capacity expansion to efficiently meet demand. MB14 CC Room 201B In Person: Data Analytics in Developing Quality Management Theory General Session Chair: Xianghui (Richard) Peng, Penn State-Erie The Behrend College, Fairview, PA, 16415-3317, United States 1 - Investigation of Patient Satisfaction in High-quality Health Care Xinyu Wei, California State University, Chico, Chico, CA, 76201, United States, Xianghui (Richard) Peng, Victor R. Prybutok Evaluation and improvement of patient-reported experiences and outcomes are drawing increasing attention from health care leaders. This study explores and discusses a variety of health care operations measurements that relate to patient satisfaction and health care delivery performance. The conceptual model examines the structural relationship among these measurements and tests both direct and indirect effects. The findings contribute to the health care operations literature and reveal the need for comprehensive quality guidance and oversight. 2 - The Impact of Big Data on Quality Management in Traditional Industries Yuchen Wang, University of North Texas, Denton, TX, 76203- 5017, United States, Yuchen Wang, Kean University, Union, NJ, United States In the big data era, every company has a vast amount of data to process. The data that people needed to invest massive resources and time are piled up and hard to manipulate, especially in traditional industries (TI), such as mining, machinery manufacturing, and oil. This research utilizes a series of text mining techniques to study the annual report of Nasdaq listed companies in the TI and investigates the role of data in quality management with the emerged operations methods to capture how profits and products are influenced. The chronological analysis is conducted to analyze the trend of competition advantage earned by data management and information technology. 3 - Internal Control and Cybersecurity Breaches: The Moderating Effect of Operational Efficiency Anh Ta, University of North Texas, TX, United States, Linh Le This study investigates the interrelationship among firm operational efficiency, internal control, and cybersecurity breaches. Using data from Audit Analytics cybersecurity, DataLossDB, and Privacy Rights Clearinghouse, the findings provide insights to the literature by empirically showing the moderating effect of operational efficiency on mitigating the strength of the relationship between material weaknesses in internal control and the frequencies of cybersecurity breaches.

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