INFORMS Philadelphia – 2015
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2 - Consumer Behavior in Pay-as-you-go Business Models
Jose Guajardo, University of California Berkeley,
545 Student Services Bldg #1900, Berkeley, CA, 94720-1900,
United States of America,
jguajardo@berkeley.eduPay-As-You-Go business models have become widely adopted for the diffusion of
energy solutions in developing economies. In this research, we analyze consumer
behavior in pay-as-you-go environments and discuss implications for firms
operating in these novel markets.
3 - Price to Compete...with Many: How to Identify Price Competition
in High Dimensional Space
Jun Li, Assistant Professor, Ross School of Business, University of
Michigan, 701 Tappan St, Ann Arbor, 48103, United States of
America,
junwli@umich.edu, Serguei Netessine, Sergei Koulayev
We study price competition in markets with large (in magnitude of hundreds or
thousands) number of potential competitors, using the hotel industry as a test
bed. This research addresses two methodological challenges: simultaneity bias and
high dimensionality.
4 - Measuring the Effectiveness of Self-service: An Empirical
Investigation of Supermarket Self-checkout
Marcelo Olivares, Assistant Professor, Universidad de Chile,
Republica 701, Santiago, Chile,
molivares@u.uchile.clUsing transactional data from a large supermarket chain, we study the impact of
self-checkouts in customer purchases. We combine video analytics data with
point-of-sale transactions to analyse how waiting time in checkouts affects
consumer decisions on which lines to join, basket expenditures and visiting
frequency.
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47-Room 104B, CC
Topics in Remanufacturing and Consumer Product
Returns
Sponsor: Manufacturing & Service Oper Mgmt/Sustainable
Operations
Sponsored Session
Chair: V. Daniel R. Guide, Jr., Mary Jean And Frank P. Smeal Chaired
Professor Of Operations And Supply Chain Management, Pennsylvania
State University, 480 Business Bldg., University Park, PA, 16802,
United States of America,
drg16@psu.edu1 - Measuring the Value of Return Policies in Online Retailing
Guangzhi Shang, Assistant Professor, Florida State University,
College of Business, RBB354, Tallahassee, FL, 32306, United
States of America,
gshang@business.fsu.edu, Michael Galbreth,
Mark Ferguson, Pelin Pekgun
Lenient return policies are popular in the industry. However, how much
consumers value such a policy is difficult to measure from firm’s perspective. We
tackle this challenge and measure the value of return policies to consumers in the
online retail context.
2 - False Failure Returns: An Experimental Investigation of Supply
Chain Coordination
Yue Cheng, Doctoral Student, The Pennsylvania State University,
460A Business Bldg, University Park, PA, 16802, United States of
America,
yuc190@smeal.psu.edu, Brent Moritz,
V. Daniel R. Guide, Jr.
To reduce false failure returns, prior research has proposed a target rebate
contract to coordinate the closed-loop supply chain. We modify the model to
account for the best response to a proposed contract. We conduct two
experiments, and observe sub-optimal coordination caused by mid-point bias and
inequality aversion.
3 - Product Acquisition Management – A Third Party
Remanufacturer Perspective
Akshay Mutha, Doctoral Student, The Pennsylvania State
University, Business Bldg, University Park, PA, 16802, United
States of America,
axm536@smeal.psu.edu, Saurabh Bansal,
V. Daniel R. Guide, Jr.
We examine various acquisition strategies for a third party remanufacturer (3PR).
We develop a model for the 3PR’s profit maximization problem and characterize
the optimal solution. We derive the structural properties of the model. Using
realistic data for a smartphone remanufacturer, we show that the hybrid
acquisition strategy increases the profit by up to 12%.
4 - A Typology of Closed-loop Supply Chains with Remanufacturing
V. Daniel R. Guide, Jr., Mary Jean And Frank P. Smeal Chaired
Professor Of Operations And Supply Chain Management,
Pennsylvania State University, 480 Business Bldg., University
Park, PA, 16802, United States of America,
drg16@psu.edu,
James Abbey
We present a typology of closed-loop supply chains with remanufacturing.
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48-Room 105A, CC
Empirical Topics on OM/Finance Interface
Sponsor: Manufacturing & Service Oper Mgmt/iFORM
Sponsored Session
Chair: S. Alex Yang, Assistant Professor, London Business School,
Sussex Place, London, United Kingdom,
sayang@london.edu1 - Sourcing with Financing in an Unreliable Supply Chain:
Should Buyers Offer Loans to Suppliers?
Jing Wu,
jwu7@chicagobooth.edu,S. Alex Yang, Chris Tang
Two financing schemes related to sourcing from a financial constrained supplier
are characterized and discussed. Choosing between purchase order financing or
supply chain financing, the manufacturer balances its information advantage and
the bank’s financing advantage.
2 - An Empirical Study of Liquidation Value for Retail Inventories
Nathan Craig, Ohio State University, 2100 Neil Avenue, 630
Fisher Hall, Columbus, OH, 43210, United States of America,
craig.186@osu.edu,Ananth Raman
The liquidation value of a firm’s assets appears in models in operations
management (e.g., the newsvendor) and finance (e.g., cost of debt). Yet relatively
little is known about the liquidation process and its outcomes. To characterize
liquidation values for retail inventories, we use proprietary data on liquidation
outcomes for 70 retailers and $8B of inventory. We complement this with data
from multiple sources to identify economic factors that significantly affect
liquidation value.
3 - Size Distribution of Manufacturing Firms in India : Empirical
Evidence and Theoretical Models
Sridhar Seshadri, Professor, Indian School of Business, Faculty
Housing, Gachibowli, Hyderabad, AP, 500032, India,
sridhar_seshadri@isb.edu,Yangfang Zhou
The dualism of the manufacturing sector in India resulting in employment
concentration in small and large firms has puzzled researchers. We provide a
possible explanation for the missing middle phenomenon using supply chain
models and models of competition. We discuss the policy implications of our
findings.
4 - Dynamic Discounting
Nitish Jain, Assistant Professor, London Business School, Regents
Park, London, United Kingdom,
njain@london.edu, S. Alex Yang
Using a proprietary dataset, we empirically investigate how firms behave on a
dynamic discounting platform.
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49-Room 105B, CC
Service Process Design
Sponsor: Manufacturing & Service Oper Mgmt/Supply Chain
Sponsored Session
Chair: Mustafa Akan, Associate Professor, Carnegie Mellon University,
5000 Forbes Avenue, Pittsburgh, PA, 15213, United States of America,
akan@andrew.cmu.edu1 - Maintenance and Spare Part Optimization for Moving Assets
Ayse Sena Eruguz, Eindhoven University of Technology, P.O. Box
513, Eindhoven, 5600 MB, Netherlands,
a.s.eruguz@tue.nl,
Tarkan Tan, Geert-jan Van Houtum
We consider an integrated maintenance and spare part planning problem for a
single critical component of a moving asset for which the degradation level is
observable. Degradation level is a function of the system state, mostly dictated by
where the moving asset physically is, e.g., in harbour, in transit, or in mission for
a maritime application. Possible actions and their consequences are also
dependent on the system state.
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