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INFORMS Philadelphia – 2015

135

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.edu

Pay-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.cl

Using 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.

SD47

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.edu

1 - 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.

SD48

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.edu

1 - 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.

SD49

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.edu

1 - 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.

SD49