2015 Informs Annual Meeting

TB40

INFORMS Philadelphia – 2015

5 - The Advent of the Intelligent Electronic Health Record John Glaser, Siemens Healthcare, Malvern, PA, United States of America, John.Glaser@Cerner.com

approaches – outcome-based management versus behavior-based management. The relationship characteristics include the length of the relationship, goal conflict between the buyer and the supplier, and the risk aversion of the two parties. 2 - Nurse Allocation Policy Evaluation and Analysis of Admissions in an Intensive Care Unit Osman Aydas, Instructor & PhD Candidate, University of Wisconsin-Milwaukee, 3202 N Maryland Ave., Milwaukee, WI, 53211, United States of America, otaydas@uwm.edu, Kaan Kuzu, Anthony Ross Nurse staffing is a crucial step in providing quality healthcare. Many patient care units, including Intensive Care Units, have problems in accurately estimating the number of nurses to use on a daily basis. We evaluate the existing staff allocation system of an intensive care unit using clinical operational data and develop a prediction model for estimating the number of admissions to the unit. 3 - Coordinating Contracts for an Express Service Supply Chain Juzhi Zhang, University of Science & Technology of China, No.96, JinZhai Road Baohe District, Hefei, 230026, China, zjuzhi@mail.ustc.edu.cn, Gou Qinglong, Xiaohang Yue This paper studies the mismatch problem of an express service supply chain, in which the express company delivers the product from online retailer to consumers. We show that displaying information on delivery capacity can decrease consumers’ belief on delay risk and increase the centralized supply chain’s profit, but it may not be feasible because consumers may not believe it. We then design some contracts to make the supply chain achieve the profit under information display. 4 - Appraisal Viewpoint Disseminate and Evolution Analysis Online Transaction Xiening Wang, Associate Professor, DongBei University of Finance and Economics,China, No 217, JianShan Street, Shahekou Distri, Dalian, LN, 116025, China, wangxiening@163.com Through feature analysis and algorithm analysis, this paper researchs the disseminate and evolution of online transaction appraisal view during consumption. The conversion rules of consumer view tendency is proposed, by describing the viewpoint tendency of network users and combining the clustering properties of the network transactions appraisal viewpoint. It analyzes the e- commerce transactions appraisal of the cellular migration model based on small world network effects. TB40 40- Room 101, CC Operations/Sustainability Contributed Session Chair: Xin Wang, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA, 15213, United States of America, xinwang1@andrew.cmu.edu 1 - Analysis on the Link Between Corporate Social and Financial Performance of Korean Business Groups Donghyup Woo, Doctoral Candidate, State University of New York at Buffalo, 326 Jacobs Management Center, University at Buffalo SUNY, Buffalo, NY, 14260, United States of America, dwoo@buffalo.edu, Nallan Suresh This research identifies contextual relationships between social responsibility and financial performance in countries transitioning to developed economies. Using Korean data, it explores how business group affiliation “Chaebol” influences strategy and social responsiveness. We test the hypothesis that “Chaebol firms” show strong positive relationship due to institutional pressure and legitimacy issues. 2 - Do Sustainability Practices Really Help? Hung-yao Liu, ESC Rennes School of Business, 2 Rue Robert d’Arbrissel CS 76522, Rennes, France, hungyao.liu@gmail.com, Rohit Nishant We utilize an extensive dataset on the resource consumption of different firms to investigate the effectiveness of various sustainability practices (i.e., pollution prevention, product stewardship, clean technology, and sustainability vision) as conceptualized in Hart’s “sustainability portfolio”, embedded in the Natural Resource Based View (NRBV). We seek to understand which sustainability practices help firms achieve resource efficiency.

We’ve made great progress in embedding the Electronic Health Record (EHR) in our healthcare processes, with use reaching unprecedented rates. Now, we’re poised to take it the next level with the intelligent EHR. The intelligent EHR will look very similar to the traditional system – one can still look up patient results and history and write prescriptions but the application will move past transactional functions. The intelligent EHR will be characterized by sophisticated and flexible decision support, rules engines, process monitoring engines, intelligent displays of important patient data, access to knowledge resources, the ability to collect data from multiple care settings through a health information exchange, and tools that enable provider collaboration. The advent of the intelligent EHR will be necessary if healthcare is to effectively address challenges such as those generated by payment reform and managing the care of chronically ill populations.

TB38 38-Room 415, Marriott Queueing Models I Contributed Session

Chair: Kaan Kuzu, Assistant Professor, University of Wisconsin- Milwaukee, Lubar School of Business, 3202 N. Maryland Ave., Milwaukee, WI, 53221, United States of America, kuzu@uwm.edu 1 - Optimum Staffing of an Outbound Call Center Doron Feuer, California Polytechnic State University, Pomona, 6493 Joshua St., Oak Park, CA, 91377, United States of America, doronfeuer@gmail.com, Saar Yaffe, Saeideh Fallah-Fini This paper couples regression analysis, Markov chain, and queuing theory techniques and develops a reliable model for optimum staffing of an outbound call center constrained by irregular inbound lead volume. By tracking trends of incoming dials throughout the call center our algorithm predicts the optimum level of staff required to ensure dialing requirements while minimizing wasted agent time. 2 - Optimal Control of a Queue under Oveflow Probability Constraint Abdolghani Ebrahimi, Research Assistant, Iowa State University, 225 Washington Ave, Unit 2, Ames, IA, 50010, United States of America, gebrahimi91@gmail.com, Arka Ghosh We develop an optimal policy that minimizes the long-run average cost in a queue system when you have an overflow probability constraint. The queue has a limited buffer size. As our constraint we define long-run average time that the buffer is full less than a number. Our objective is to find the optimal policy. We solve the problem for two cases; one with bounded space and the other with unbounded space. 3 - Analysis of Priority-Based Ticket Queue Data Kaan Kuzu, Assistant Professor, University of Wisconsin- Milwaukee, Lubar School of Business, 3202 N. Maryland Ave., Milwaukee, WI, 53221, United States of America, kuzu@uwm.edu, Refik Soyer We analyze the transactional data from a bank’s priority-based ticket queue system and estimate the distributions of inter-arrival and service times based on customer category, day of the week and time intervals in a day. We also predict the customers’ patience times for each customer category and day of the week, and develop the corresponding abandonment probabilities using logistic regression models. TB39 39-Room 100, CC Risks Management in Operations/Marketing Cluster: Operations/Marketing Interface Invited Session Chair: Osman Aydas, Instructor & PhD Candidate, University of Wisconsin-Milwaukee, 3202 N Maryland Ave., Milwaukee WI 53211, United States of America, otaydas@uwm.edu 1 - Global Supply Chain Social Responsibility: An Agency Theory Perspective Xingxing Zu, Morgan State University, 1700 E Cold Spring Lane, Department of Information Science & Syst, Baltimore, MD, United States of America, Xingxing.zu@morgan.edu, Ziping Wang, Yu Xia This study examines global supply chain social responsibility from a dyad perspective based on agency theory. We analyze how the characteristics of buyer- supplier relationship affect the effectiveness of two different management

297