Informs Annual Meeting Phoenix 2018

INFORMS Phoenix – 2018

MB27

3 - Bitcoin and Its Cost Sailendra Mishra, The University of Texas at DallasRichardson, TX As cryptocurrencies are bid to become more mainstream, we investigate resources needed to operationalize these at large scale. Our research highlights how Bitcoin’s complexity, transaction volume, and exchange rate affect computing power required in validating transactions in Bitcoin. Our findings suggest that Bitcoin’s protocol induces competition and computational power race, which may deterrent to the future growth of the system. 4 - How to Sell a Dataset? Pricing Policies for Data Monetization Sameer Mehta, The University of Texas at Dallas, 800 W. Campbell Rd, SM 33, Richardson, TX, 75080, United States, Milind Dawande, Ganesh Janakiraman, Vijay Mookerjee The wide variety of pricing policies used in practice by data-sellers suggests that, as yet, there is no common understanding on how data should be priced. The selling of data - arranged in a row-column format, where rows represent records and columns represent attributes of the records - is significantly different from that of information goods like telephone minutes and bandwidth, in the sense that, for a buyer, it is not just the amount of data (i.e., the number of records) that matters but also the “type of the data. In this study, we develop a utility framework that is appropriate for data-buyers and address the corresponding pricing of the data by a seller. Joint Session Service Science/Practice Curated: NSF Funding Opportunities for Service Science Researchers Sponsored: Service Science Sponsored Session Chair: Alexandra Medina-Borja, PhD, National Science Foundation, Alexandria, VA, 22314, United States 1 - NSF Funding Opportunities for Service Science Researchers Alexandra Medina-Borja, PhD, National Science Foundation, Alexandria, VA, 22314, United States Technologies are enabling an era of smart everything while service systems continue to dominate industrialized economies. As the concepts of smartness and service are starting to fuse, modeling of smart engineered systems is becoming challenging. While applying a “service framework to this partnership of humans and machines could help, society is still concerned with machines replacing workers in the service sector. Myriad convergent research opportunities in this new landscape are possible. NSF Program Officers will discuss some funding opportunities at the National Science Foundation, both in terms of the NSF’s Ten Big Ideas for Future Investment and research funding for re-skilling the service workforce. n MB26 North Bldg 132A Emerging Topics in Service Operations 2 Sponsored: Service Science Sponsored Session Chair: Yuqian Xu, University of Illinois at Urbana-Champaign, Champaign, IL, 61820, United States 1 - Jobenomics - Text Data Analytics on Job Posting Jing Wu, City University of Hong Kong, Department of Management Sciences, Rm 7-233, Lau Ming Wai Academic Building, Hong Kong, Hong Kong We use natural language processing tools on >50-million job postings representing >30,000 private and public companies as well as >20-billion words captured in the position descriptions to explain firm performance and human capital investment. Our preliminary results show that job posting information has strong predictive power on firm productivity growth and stands out uniquely compared to common asset pricing factors. 2 - Dynamic Pricing of the Ride Sharing Market in a Spatial Search Model Weiming Zhu, IESE Business School, Avenida Pearson 21, Barcelona, 08034, Spain, Liu Ming, Jingting Fan, Wenlan Luo Ride-sharing platforms employ flexible pricing during peak hours to match supply with demand. In this study, we build a spatial search model to study the geographic dynamics among drivers. Utilizing data from a leading ride-sharing platform, we assess the impact of different pricing schemes on drivers’ capacity distribution, platform profit, and consumer surplus. n MB25 North Bldg 131C

3 - Coping with the Bullwhip Effect through Inventory or Cash: An Environment-behavior-performance Paradigm Baile Lu, Zhejiang University, Hangzhou, China, Weihua Zhou, Baofeng Huo, Qihui Gong An environment-behavior-performance paradigm was proposed to examine the impact of the bullwhip effect on coping behavior and performance, where the bullwhip effect is regarded as an environmental factor, inventory and cash holdings are regarded as factors for coping with the bullwhip effect, and risk is defined as company performance. Our analysis shows that the bullwhip effect is positively related to both operating and equity risks, and is positively related to inventory and cash holdings. A moderate level of inventory is negatively related to operating and equity risks, and cash is only negatively related to operating risk; however, excess resource holdings are positively related to risk. 4 - Is on Demand Car Rental a Complement or Substitute for Private Car and Public Transit? Lixian Qian, Xi’an Jiaotong-Liverpool University, IBSS Building, South Campus, Xi’an Jiaotong-Liverpool University, Suzhou, 215123, China, Zhan Pang, Didier Soopramanien On-demand car rental has emerged as a prominent alternative mobility mode to private car usage in urban areas. However, it remains unclear whether it is a complement or substitute for private car and public transit. To find the empirical evidence, we conducted a choice-based conjoint study in Beijing. We find that service accessibility and mobility speed, as well as consumer car ownership and purchase intention, are key drivers of mobility choice. Although on-demand car rental may reduce private car usage, it may also attract public transit users, resulting in an unanticipated rise in total car usage. n MB27 North Bldg 132B Developing Robust Analytics Curricula Sponsored: Education (INFORMED) Sponsored Session Chair: Carrie Beam, University of Arkansas, Fayetteville, AR, 94596, United States 1 - What We Hire: Analytics Skills We Want Schools to Teach our Job Applicants Aaron Burciaga, VP Data Science and Machine Intelligence at Booz Allen Hamilton, Will give a spirited overview of analytics skills and that are critical to hire, and others that differentiate, in today’s workplace. Aaron will provide useful insights towards attaining and balancing the right mix of education, experience, and elocution needed for a successful and enduring career and legacy. 2 - Arkansas Robust Analytics Curricula Carrie Beam, University of Arkansas, Walnut Creek, CA, 94596, United States How can you teach R programming, online, to students who have never written code before? Is it possible to get them running K-Means, linear regression, and rpart trees without breaking the Internet? In this session, I’ll show you the mechanics of how we implemented an Introduction to Analytics class online at the University of Arkansas. 3 - Designing and Deploying a Profession-centered Business Analytics Program Sanjay Saigal, University of California-Davis, Davis, CA, United States As the “sexiest profession of the 21st century” gains prominence, colleges have responded: ~40 new programs start up in Analytics & Data Sc every year. How do we create a program that balances department strengths with employer needs and student profiles? UC Davis offers three established MBA programs and a newer master’s in Accountancy. Our “all new” MS in Business Analytics aims for industry relevance, practicality, and student ROI. We evaluate our MSBA design elements and their deployment in the 2017-18 school year, our first. We focus on the highly intensive year-long Industry Practicum and related courses covering one quarter of the total credits. 4 - Analytics for Undergrads: How It’s Done at a Small Liberal Arts College Anthony Bonifonte, Denison University, 3267 Raccoon Valley Rd, Granville, OH, 30106, United States Denison University’s Data Analytics program was founded in 2016 and has already attracted considerable student interest. As a small, undergraduate only liberal arts institution, the program is highly interdisciplinary and focuses on equipping students with the knowledge and skills to solve practical data problems and training them to effectively communicate results. Each core course is project- driven, and students complete a semester-long mock consulting experience with on-campus clients. Student also choose 7 concentrations in natural and social science disciplines. In this talk I will share the curriculum and philosophy behind its’ design and some initial student outcomes.

157