INFORMS 2021 Program Book

INFORMS Anaheim 2021

TC17

2 - Establishing the Link Between Overtreatment and Bad Debt in the Healthcare System Shi Qiu, University of Illinois Urbana-Champaign, Urbana, IL, 61801-1024, United States, Yuqian Xu, Michael Freeman Unnecessary health care, also known as overuse or overtreatment, is increasingly being recognized as a cause of patient harm and excess costs. However, it has not been studied whether overtreatment effect could contribute to patients’ increasing bad debt. This paper aims to examine the relationship between overtreatment and bad debt, and the underlying moderators. 3 - The Invisible Risk: The Data-sharing Activities of Data Brokers and Information Leakage Arion Cheong, Assistant Professor, California State University at Fullerton, Fullerton, CA, 07302, United States Data brokers are the major players in the market of collecting, selling, and sharing online user information. This paper analyzes the leaked information on the dark web to examine the personal information leakage caused by data-sharing activities of data brokers. We consider the data-sharing activities of data brokers as a co-opetition between the data brokers and study how it relates to information leakage. We further examine empirical evidence of discretionary disclosure in the recent data broker registration and information disclosure act in Vermont and California. In specific, we evaluate whether registered data brokers have lower information leakage due to data-sharing activities than the unregistered coopetitors. Our study contributes to privacy and cybersecurity risk assessment literature by unveiling the shadowy data-collecting and data-sharing market. 4 - Impact of Showrooming in the Presence of Supplier Encroachment Samayita Guha, Temple University, Philadelphia, PA, 19121-3444, United States, Abhishek Roy The popularity of retail e-commerce has enabled many suppliers to reach diverse customer segments through direct channels. This practice is called supplier encroachment. Often, the supplier chooses to open a direct channel online to compete with an omnichannel retailer who carries the same product. However, consumers are unable to experience the tangible properties of the products using the online channel, and may use the retailer’s physical store to determine product fit. This often results in a practice called showrooming, where some consumers visit physical retail store to evaluate a product, but ultimately buy it from another online retail store. In this paper, we study how these two practices, if occurring simultaneously, will impact both the omnichannel retailer and the online supplier. 5 - The Invisible Risk: The Data-sharing Activities of Data Brokers and Information Leakage Tawei Wang, Won No Data brokers are the major players in the market of collecting, selling, and sharing online user information. This paper analyzes the leaked information on the dark web to examine the personal information leakage caused by data-sharing activities of data brokers. We consider the data-sharing activities of data brokers as a co-opetition between the data brokers and study how it relates to information leakage. We further examine empirical evidence of discretionary disclosure in the recent data broker registration and information disclosure act in Vermont and California. In specific, we evaluate whether registered data brokers have lower information leakage due to data-sharing activities than the unregistered coopetitors. Our study contributes to privacy and cybersecurity risk assessment literature by unveiling the shadowy data-collecting and data-sharing market. 6 - Impact of Showrooming in the Presence of Supplier The popularity of retail e-commerce has enabled many suppliers to reach diverse customer segments through direct channels. This practice is called supplier encroachment. Often, the supplier chooses to open a direct channel online to compete with an omnichannel retailer who carries the same product. However, consumers are unable to experience the tangible properties of the products using the online channel, and may use the retailer’s physical store to determine product fit. This often results in a practice called showrooming, where some consumers visit physical retail store to evaluate a product, but ultimately buy it from another online retail store. In this paper, we study how these two practices, if occurring simultaneously, will impact both the omnichannel retailer and the online supplier. Encroachment Subodha Kumar

TC17 CC Room 202A In Person: Multi-objective Optimization/COVID-19 Applications General Session Chair: Tim Marler, PhD, RAND Corporation, Santa Monica, CA, United States 1 - The Role of Overconfidence on Personal Attitude Toward Covid- 19 and Risk Mitigating Factors Dominik Piehlmaier, Assistant Professor, University of Sussex, Brighton, United Kingdom The experimental study sheds light on the impact of overconfidence on a person’s attitude toward COVID-19 as well as the likelihood of wearing face masks, getting vaccinated, utilizing contact tracing apps, and following mandatory quarantine rules by conducting a randomised controlled trial data from 600 UK panellists. Building on the theory of correlation neglect, we show that respondents who are overconfident in their knowledge about infectious diseases illustrate a laxer attitude toward the current outbreak. The study provides evidence to help inform public health officials to focus on a subpopulation who would benefit from a nudge to follow official COVID-19 guidance and regulations. 2 - A Game Theory Approach for Engineering Optimization and Decision-making Tim Marler, RAND Corporation Groups of decision-makers, interacting in a design process, can be modeled using game theory, which in turn can be solved as a multi-objective optimization problem. From this perspective, decision-makers rarely cooperate completely in a theoretical sense; rather, the exchange of information is iterative. Ultimately, this can result in a non-optimal solution or design. Given multiple decision-makers, each managing a separate objective function and controlling unique variables, this paper presents a new algorithm for modeling design process as a non-cooperative game theoretic scenario. This algorithm is then used in the context of a broader novel multi-objective optimization approach for resolving such non-cooperative situations, thus yielding a Pareto optimal solution. This approach provides not only a mathematical method for extending a Nash equilibrium point (non- cooperative solution) towards the Pareto optimal set, but also a means for modeling how decision-makers actually interact. This, in turn provides significant insight into engineering project management and decision-making. The proposed approach is demonstrated with two illustrative design problems. TC18 CC Room 202B In Person: Topics in Sustainability General Session Chair: Manali Sunil Zantye Co-Chair: Kristen Schell, Carleton University, Ottawa, ON, K1S 5B6, Canada 1 - Distribution Model of Subsidy and Tax in Sustainable Energy Value-chain Mohammad Amini, U T. Austin, Austin, TX, United States, Shadi Goodarzi The growing need of society for energy on the one hand and the increasing environmental problems, on the other hand, led policymakers designe different policies to limit the usage of fossil fuels and promote renewable energies(taxes and subsidies). However, designing an optimal policy that increases social welfare, promotes using renewable energy consumption, and reduces environmental pollution still remains a great challenge. This study aims to provide an appropriate tax/subsidy distribution model to promote renewable energy usage where the amount of tax collection and the payment subsidy have been determined using game theory. The components of the game have been determined based on conducted studies and the experiences of different countries. 2 - Consumer Behavior Towards Different Carbon Footprint Reductions Nils Roemer, Universität Hamburg, Hamburg, Germany, Guido Voigt, Gilvan Souza, Christian Tröster Responding to demands for sustainable products and services, many firms have the goal to become “net zero” carbon emissions. With different options to achieve this goal, such as buying offsets or switching to renewables, it is unclear how consumers perceive them. We empirically investigate this through surveys and incentivized experiments.

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