2015 Informs Annual Meeting

WE54

INFORMS Philadelphia – 2015

WE54 54-Room 108A, CC Service Science III Contributed Session

2 - Foreign Cuisine or Local Delicacies? A Study on Overseas and Domestic M&A by Chinese Listed Firms Daitian Li, PhD Candidate, Bocconi University, Via Roentgen, 1, Milan, 20136, Italy, daitian.li@phd.unibocconi.it This paper explores how sectoral difference and firm heterogeneity affect the link between mergers and acquisitions (M&A) and productivity. I hypothesize that overseas M&A tend to increase firms’ productivity in high-tech sectors, while domestic M&A tend to increase firms’ productivity in low-tech sectors. Above relationships are affected by firm heterogeneity in terms of prior productivity levels. The hypotheses are tested with data on M&A conducted by Chinese listed firms in 2000-2011. 3 - Joint Price Differentiation and Inventory Decisions for a Risk- tolerant Firm with Demand Leakage Syed Asif Raza, Assistant Professor, Qatar University, College of Business and Economics, Qatar University, Doha, QC, 2713, Qatar, syedar@qu.edu.qa, Mohd. Nishat Faisal We present a model for an optimal joint price differentiation and inventory decisions for risk-tolerant firm. It is assumed that the firm divides its market demand into two segments using a differentiation price and sell almost the same or slightly distinguished products. However, this differentiation is leads an imperfect segmentation causing a demand leakage from the full price market segment to the discounted price segment. We assess the impact of risk-aversion on a firm profitability. 4 - A New Statistical Approach to Multi-Channel Inventory Allocation All revenues in different channels are not created equal with different distribution costs and different market prices. We develop a new statistical model to find a more profitable, yet achievable channel mix. By estimating multivariate normal demand, we capture correlations of demand among channels and compute the expected channel mix. We incorporate the estimation process with demand seasonality identified through clustering, which results in more business- reasonable allocation. WE53 53-Room 107B, CC Environmental Operations Contributed Session Chair: John J Liu, Professor, City U of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong - PRC, johnliu@cityu.edu.hk 1 - The Impact of Changing Discharge Standards on the Wastewater Treatment Process Bingxiong Lu, Tsinghua University, South 615A Shunde Building, Beijing, China, lubx13@mails.tsinghua.edu.cn, Simin Huang, Xiangyuan Du We used derivative-free optimization to optimize the wastewater treatment process at different discharge standards, and obtained the ‘optimal treatment scenarios’ with minimal treatment cost. The life cycle impact of ‘optimal treatment scenarios’ were calculated using life cycle assessment. The results show that the life cycle impact increases with increasingly stringent discharge standard, and the marginal life cycle impact varies with different categories of water pollutant. 2 - Export Restrictions or Boundary Adjustments? A Technology Choice and Social Welfare Based Sam Aflaki, HEC Paris, 1 Rue de la Liberation, Jouy en Josas, 78350, France, aflaki@hec.fr In this paper, we study the legislations concerning e-waste export restrictions such as Basel convention and compare them with alternative schemes such as boundary adjustment methods involving taxation. We characterize the Nash equilibrium of a stackelberg game between a regulator and a monopolistic firm and analyze the influence of these schemes on the technology choice for recycling, remanufacturing quantity and social welfare. 3 - Industrial Emissions: Corporate Social Liability and Responsibility John J Liu, Professor, City U of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong - PRC, johnliu@cityu.edu.hk, Hao Leo Li We theorize that industrial emissions represent an unavoidable social liability that has not been unaccounted for in the POM research, and develop an emission transduction model of production energy dissipation to characterize and measure individual industrial emissions as liable “bads” (bad output) inevitably transduced together with the “goods” produced by a production system. The model is validated with empirical tests. Misuk Lee, Assistant Professor, Salisbury University, Perdue School of Business, Salisbury, MD, 21804, United States of America, mxlee@salisbury.edu

Chair: Sina Ansari, Northwestern University, 2145 Sheridan Road Room C210, Evanston, IL, 60208, United States of America, sina.ansari@u.northwestern.edu 1 - Value Co-creation and Resource Consumption: Towards an Operational Model of SD Logic Christoph Heitz, Zurich University of Appl. Sciences, Postfach, Winterthur, 8401, Switzerland, christoph.heitz@zhaw.ch We study a service system with two actors (e.g. service provider and customers) which may integrate their resources for mutual value creation. We derive a formal model that takes into account not only the value creation but also the resource consumption of both actors. We assume that both actors have limited resources, and the choices of how to use these resources determine their behavior in the service relationship. The model leads to general insights on the behavioral options of the actors. 2 - NSF Funding Opportunities for Human-centered Smart Service Systems Alexandra Medina-Borja, Program Director, National Science Foundation/ UPRM, 2507 Fowler St, Falls Church, VA, 22046, United States of America, amedinab@nsf.gov NSF program directors will discuss funding opportunities at the intersection Of behavioral Sciences/ Human Factors and mathematical modeling. This research work is expected to enable smart service systems of the future. Requirements and recommendations will be discussed 3 - Task Variety in Professional Service Work: When it Helps and When it Hurts Emmanouil Avgerinos, PhD Candidate, University College London, Gower Street, London, WC1E6BT, United Kingdom, emmanouil.avgerinos.10@ucl.ac.uk, Bilal Gokpinar In many professional service firms, individuals perform a variety of tasks with significant opportunities for learning but also tend to enjoy more discretion in managing when and how they perform their tasks. In light of these observations, we investigate task allocation strategies that may enhance or inhibit individual learning. Using a dataset of 3,275 coronary artery bypass surgeries we examine the effect of concurrent and non-concurrent exposure to task variety on individual productivity. 4 - Barriers to Productizing Services Sukruth Suresh, Rensselaer Polytechnic Institute, Troy, NY, 12180, United States of America, suress@rpi.edu, T. Ravichandran We extend the existing product service systems classification, to include productized service offerings. These are a well-defined, well-packaged bundle of distinct services with a defined scope, delivered to address a specific set of needs. We posit that firm status; maturity and extent of modularity of the offering and, market size influence the propensity of firms productizing their offerings. These are mobility barriers rather than entry barriers as the transition is within the industry. 5 - Waiting Time and Customer Satisfaction Improvement in Emergency Departments Sina Ansari, Northwestern University, 2145 Sheridan Road Room C210, Evanston, IL, 60208, United States of America, sina.ansari@u.northwestern.edu, Seyed Iravani, Laurens Debo Excessive wait time is the most common reason patients become unsatisfied and leave the emergency department before being treated. In this study, we aim to determine the possibilities of improvement in patient’s waiting times (both actual and perceived) in Northwestern Memorial Hospital ED and consequently help ED managers to achieve higher patient satisfaction.

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