INFORMS 2021 Program Book

INFORMS Anaheim 2021

SD44

5 - Digital Piracy and Platform Competition: Which Platforms are Targeted by Pirates, and Why? Wendy Bradley, Assistant Professor of Strategy, Southern Methodist University, Dallas, TX, United States, Joost Rietveld Two-sided platforms (video game consoles, mobile operating systems) depend on a large installed base of both complements (games, apps) and end-users to succeed. Many users of digital products—via illegal online sharing—participate in platform markets without paying for complements or contributing to sales. This affects the potential performance and innovation incentives of platform owners and complements. Which platforms are most affected by digital piracy, and why? Using a dataset of pirated console video games in the U.S. (2000-2011), we find that complement diversity and concentration, platform architecture, and platform adoption are significant factors in predicting digital piracy. 6 - Intelligent System for Wind Farm Maintenance Planning Salih Tutun, Washington University in Saint Louis, St Louis, MO, United States, Ilker Yesilkaya, Sedat Irgil, Ada Deniz Keskin Understanding the faults and relations of wind turbines in the farm could help to manage the planning of maintenance. When the fault happened, we lost energy and costing a lot of money. For example, in the US, the cost of maintenance on wind farms in 2016 ranged between $42000 and $48000 per MW. The decision- makers need an intelligent recommendation system that will analyze resources and understand all interactions among turbines. In this research, we proposed a new network-based intelligent recommendation system to identify the faults and the reasons behind them. To show how our intelligent system works, we worked with one wind farm. We proved how we reduced the cost and improved the system’s quality. SD44 CC Room 213B In Person: Supply Chain Competition/Operations Management Contributed Session Chair: Beverly Osborn, The Ohio State University, Columbus, OH, 43201, United States 1 - Effects of Firm’s Structural Position in its Value Network on Competitive Intensity and Complexity Yang Yang, Assistant Professor, University of Texas at El Paso, El Paso, TX, United States Competition is fluid and dynamic, so firms must constantly create temporary advantages by frequently launching various competitive actions to sustain their competitive advantage. While research has shown that firms become increasingly dependent on their suppliers and customers to gain competitive advantage and has examined the impact of value network on firm performance (i.e., a result of a firm’s competitive actions), no study has investigated how value networks could directly affect a firm’s strategic competitive behavior. This study examines how firms’ structural characteristics in value networks influence their competitive behavior in respect of competitive aggressiveness. 2 - The Role of Peer Experience and Learning in Operational Decisions Neslihan Ozlu, Stockholm University-Företagsekonomi, Stockholm, Sweden Drawing on purchasing data from a European manufacturer, we investigate the purchasers-ordering behaviour under variable lead times. In particular, we examine the learning of the purchasers through their experiences with the suppliers from their peers. We also incorporate the specific versus all other purchasers as well as suppliers into the analysis. We mainly observe varying behaviours of purchasers depending on the relationships with the suppliers. Our results have both managerial and practical implications. 3 - Organizational Challenges and Root Cause Interpretations: Evidence From a Longitudinal Study of Business Executives Robert N. Eberhart, Associate Director of Entrepreneurship and Society, Stanford University, Palo Alto, CA, United States, George Foster, Jim Andrew Best-Devereux How managers respond to their challenges is central to studies of both strategy and organizational theory, but how challenges are interpreted is much less studied. Strategic literature examines managerial responses from a performance- oriented perspective, organizational scholars theorize that actions are selected to maintain legitimacy. We employ LDA topic modeling to analyze 1,648 written challenges and cause interpretations from CEOs and executive officers who attended executive education programs over a twenty-three-year period at Stanford University. We test how the type of challenge matches the type of interpretation and observe changes in these responses.

SD41 CC Room 212A In Person: Modeling Deep Decarbonization in the Electricity Sector General Session Chair: Qingyu Xu, Princeton University, Princeton, NJ, 21218-2625, United States 1 - Rapid Deep Decarbonization of the PJM System Qingyu Xu, Princeton University, Princeton, NJ, 21218-2625, United States, Jesse D. Jenkins, Neha Patankar, Chuan Zhang In this work, we investigate how fast the PJM, a subnational power system of the U.S., can move toward deep decarbonization in the next decade. The work focuses on exploring the policy alternatives and their efficiency and robustness against the uncertainty of load, technology advancement, and natural gas prices. With the capacity expansion tool called GenX, we gauge the policy efficiency and the distributional effect by measuring system cost, load-serving payment, and the generator profit under different policy scenarios. The policy alternatives explored include rate-/mass-based carbon pricing and clean energy standards. SD43 CC Room 213A In Person: Information Systems Contributed Session Chair: Salih Tutun, Washington University in St. Louis, Chesterfield, MO, 63017, United States 1 - Improving Machine Learning Algorithms by Collecting Diverse and Granular Data in Crowdsourcing Platforms Aida Khosh Raftar Nouri, Memorial University of Newfoundland, St John’s, NL, Canada, Jeffrey Parsons Citizen science volunteers have played an essential role in creating training data for the machine learning algorithm. Furthermore, using crowdsourcing maximizes the undiscovered value of the data. This research aims to develop, implement, and evaluate design principles for data collection in crowdsourcing platforms with the ability to collect granular and diverse data. This study also conducts experiments to show that information diversity and granularity as the pertinent dimension of information quality in crowdsourced data improve machine learning algorithms. 2 - Increasing Healthcare Organizations Agility via Cloud Analytics Platforms Hossein Kalantar, University of Colorado-Denver, Denver, CO, United States Healthcare organizations should constantly and swiftly detect and respond to environmental opportunities and threats. The COVID-19 outbreak demands fast and precise actions from healthcare organizations across the globe more than ever before. These organizations can utilize various analytics tools on the cloud-based platform to increase their agility in the operational domain and clinical areas. In this study, we investigate the impact of cloud analytics platform adoption on healthcare organizations’ agility. 3 - Understanding Differential Effects of Social Network Capital on Virtual Question and Answer (VQ&A) communities are becoming increasingly important in today’s knowledge intensive environment. They represent a crowdsourced knowledge creation process that involves volunteer participants, and thus they are large repositories of online knowledge. A knowledge creation process may require different types and degree of social network capital of participants based on the complexity of the VQ&A process. We develop and empirically test models of the differential effects of social network capital on the VQ&A process. Empirical results based on data from Stack Overflow will be presented. Research and managerial implications will also be discussed. 4 - Investigating Factors Affecting the Retention of Firms’ IT Capability Jinho Kiim, Lewis University, Romeoville, IL, United States, Timothy Komarek, Kayoung Park, Li Xu Scholars have discussed firms’ IT capability and its impact on their business performance. However, there has been little discussion of the factors in firms’ long-retention of IT capability. To explain this phenomenon, this study describes a new construct, continuous IT capability, which can be used to measure the accumulation of IT capability over time and employs survival analysis to show how these factors are related to firms’ risk of losing IT capability. The results show that turnover in IT managers, which can bring in outside knowledge and experience, allows firms to retain IT capability, whereas IT managers’ structural power doesn’t contribute to firms’ sustaining their IT capability. the Crowdsourced Answering Process in Stack Overflow Orcun Temizkan, Ozyegin University, Istanbul, Turkey, Ram Kumar

43