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INFORMS Nashville – 2016

106

SD36

205B-MCC

Economics of Operations Management

Sponsored: Manufacturing & Service Oper Mgmt, Supply Chain

Sponsored Session

Chair: Kenan Arifoglu, UCL, London, United Kingdom,

k.arifoglu@ucl.ac.uk

1 - Money-back Guarantees When Physical And On-line

Retailers Compete

Hang Ren, University College London,

hang.ren.13@ucl.ac.uk

Tingliang Huang, Ying-Ju Chen, Christopher S Tang

We study the pricing and product return policies when physical and on-line stores

compete. We find that the on-line store offers money-back guarantees when its

salvage advantage outweighs total return hassle. Interestingly, better service

quality may hurt the on-line store. When consumers can showroom, i.e., buying

online after trying the product offline, the on-line store should offer hassle-free

money-back guarantees. Moreover, the showrooming behavior may benefit the

physical store while harming the online store.

2 - Licensing Contracts In Conspicuous Markets

Prateek Raj, University College London,

p.raj.12@ucl.ac.uk

,

Kenan Arifoglu

We study licensing decision of a brand owning firm that sells its primary product

to conspicuous customers who value the brand exclusivity, and also licenses its

brand name to a licensing firm. We compare efficiency of fixed-fee, royalty and

mixed contracts and also explore the role of licensing under competition.

3 - Selling New Products Through Consumer Learning

Yufei Huang, University of Bath,

y.huang@bath.ac.uk

,

Bilal Gokpinar, Christopher S. Tang, Onesun Steve Yoo

Due to uncertain valuation of a new product, consumers often seek to learn more

about the product before making purchasing decisions. In general, consumers can

learn from the firm directly, from making an individual effort to learn, or from

other consumers indirectly (through social learning). In this paper, we present a

unified framework of consumer learning in the context of rational and

heterogeneous consumers. Our goal is to examine, from the firm’s perspective,

when and why (i) investing in firm-induced learning can be superior to variable

pricing, (ii) subsidizing individual learning can be beneficial, and (iii) investing in

social learning (e.g., online forums) can be harmful.

4 - Is Reshoring Better Than Offshoring Under Offshore

Supply Dependence?

Hu Bin, University of North Carolina, Chapel Hill, NC,

United States,

bin_hu@unc.edu

, Li Chen

We investigate offshore supply dependence’s impact on the offshoring-reshoring

comparison. We find that offshore supply dependence may hamper a reshoring

manufacturer’s responsiveness to demand information updates, such that

reshoring may yield lower profits than offshoring in many cases, including when

reshoring has no direct cost disadvantages. We then show that offshore supply

dependence also affects how customs duties and shipping costs influence the

offshoring-reshoring profit comparison. We further identify common-component

designs as an approach to mitigate reshoring firms’ offshore supply dependence

and help promote reshoring in its presence.

SD37

205C-MCC

Value Chain Transformations for Sustainability

Sponsored: Manufacturing & Service Oper Mgmt,

Sustainable Operations

Sponsored Session

Chair: Dan Andrei Iancu, Stanford University, 655 Knight Way,

Stanford, CA, 94305, United States,

daniancu@stanford.edu

Co-Chair: Joann de Zegher, Stanford University, Y2E2 Suite 226,

Stanford, CA, 94305, United States,

jfdezegher@stanford.edu

1 - Retail Clusters In Developing Countries

Xuying Zhao, University of Notre Dame,

Xuying.Zhao.29@nd.edu

,

Hong Guo, Chao Ding, Jing-Sheng Jeannette Song

A retail cluster refers to a collection of horizontally differentiated retailers of a

particular business sector locating in close proximity. Retail clusters are commonly

seen in developing countries. In this paper, we develop a game-theoretic model to

explore why the retail cluster phenomenon is so popular in developing countries

and how the governments in these countries can foster retail clusters and

leverage them to improve social welfare.

2 - Achieving Sustainability Commitments In Commodity

Supply Chains

Joann Francoise de Zegher, Stanford University, Stanford, CA,

United States,

jfdezegher@stanford.edu,

Hau Leung Lee,

Dan Andrei Iancu, Erica Plambeck

How can downstream companies in commodity supply chains incentivize small

producers to mitigate deforestation while also improving farmer welfare?

Motivated by field research in the palm oil industry, we propose an incentive

based on early payments. The dynamics of this incentive are distinct from a price

premium incentive, due to characteristics of small-farmer cash flow needs

upstream and large discrepancies in borrowing abilities of different supply chain

tiers. We build a theoretical model to analyze this setting and ground our analysis

through empirical work in the complex palm oil supply chain originating in

Indonesia.

3 - Effective Medical Surplus Recovery

Can Zhang, Georgia Institute of Technology, Atlanta, GA, 30309,

United States,

czhang2012@gatech.edu,

Atalay Atasu,

Beril L Toktay, Wee Meng Yeo

We analyze a Medical Surplus Recovery Organization (MSRO) that recovers and

manages reusable medical products to fulfill the needs of under-served healthcare

facilities in developing countries. Using a game theoretic analysis, we identify loss

of effectiveness caused by competition among recipients in a recipient-driven

model implemented by the MSRO. We then present operational mechanisms that

can improve the MSRO’s total value provision and we numerically validate our

results using real life data.

SD38

206A-MCC

Innovation and Entrepreneurship

Invited: New Product Development

Invited Session

Chair: Raul Chao, University of Virginia, UVA, Charlottesville, VA,

United States,

ChaoR@darden.virginia.edu

1 - Risk Aversion And Joint Problem Solving: Experimental Evidence

Marc Christiaan Jansen, Cambridge Judge Business School,

Downing College, Regent Street, Cambridge, CB2 1DQ,

United Kingdom,

mcj32@cam.ac.uk

, Nektarios Oraiopoulos,

Niyazi Taneri

We examine the effect of risk aversion on collaborative problem solving between

two partners. We design an experiment that measures subjects’ risk aversion and

allocates subjects to treatments accordingly. We show that subjects perform

relatively well in sharing the risk between them, but underperform relatively to

the optimal investments levels.

2 - Strategic Positioning In Global Entrepreneurship Ecosystems

Hyunwoo Park, Postdoctoral Fellow, Georgia Institute of

Technology, Atlanta, GA, 30332, United States,

hwpark@gatech.edu

, Rahul C Basole, Raul Chao

Strategic positioning is particularly critical for entrepreneurial ventures, which

face a difficult trade-off in balancing legitimacy through similarity versus

innovativeness through differentiation. Using a computational approach based on

data mining, text analytics, and network visualization, we seek to gain an

understanding of the structure of strategic positioning of nearly 60,000 companies

in 35 global entrepreneurial ecosystems.

3 - Won’t Leave You At The Altar: Designing Alternative Mechanisms

For Startup Supply Chain Development

Emre Guzelsu, Boston University,

bguzelsu@bu.edu

Brad Lee, Nitin Joglekar

Startup supply chain development spans two stages, early experimentation

without revenue followed by production scale-up and revenue generation. Early

experimentation involves single sourcing with another startup, while production

offers dual sourcing opportunity. We explore alternative mechanisms for startup

supplier alignment across both stages using a game theoretic framework.

4 - Optimal Supplier Allocation In Collaborative Product Development

With Competing Internal Teams

Svenja Sommer, HEC Paris, 1, Rue de la Liberation, Jouy-en-Josas,

France,

sommers@hec.fr,

Timofey Shalpegin, Christian Van Delft

To reduce the uncertainty inherent in development, manufacturers sometimes

deploy competing internal teams, each working on a different technology or

design. Often this development takes place in collaboration with key suppliers.

We explore how manufacturers should allocate suppliers (with different

capabilities) to these teams, considering the impact on supplier efforts.

SD36