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Sameer Hasija

Researcher at INSEAD

Publications -  48
Citations -  1077

Sameer Hasija is an academic researcher from INSEAD. The author has contributed to research in topics: Outsourcing & Vendor. The author has an hindex of 17, co-authored 46 publications receiving 888 citations. Previous affiliations of Sameer Hasija include Binghamton University & University of Rochester.

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Single Sourcing versus Multisourcing: The role of effort interdependence, metric-outcome misalignment, and incentive design

TL;DR: In this article, the authors compare two strategies for outsourcing the development of information services projects: multisourcing and single-sourcing, and show that single sourcing performs better than multisourced if the client effort is independent of the vendor efforts, and that the choice of sourcing strategy is nuanced based on the trade-off between the degree of misalignment and moral hazard if client and vendor efforts are interdependent.
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Joint Product Improvement by Client and Customer Support Center: The Role of Gain-Share Contracts in Coordination

TL;DR: In this article, the authors study the role of different contract types in coordinating the joint product improvement effort of a client and a customer support center and provide guiding principles for understanding the increased role for customer support centers in product improvement.
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Supply Chains and Antitrust Governance

TL;DR: In this paper, the authors demonstrate how the Illinois Brick ruling interacts with contracts adopted in the supply chain and show that otherwise equivalent supply chain arrangements can have markedly different effects, and find that wholesale price, minimum order quantity, revenue sharing and quantity discount contracts lead retailers to take legal action against manufacturers in the event of collusive behavior.
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Reading between the Stars: Understanding the Effects of Online Customer Reviews on Product Demand

TL;DR: In this article, a machine learning-based sentiment analysis on the entire corpus of customer reviews included in the sample was performed to investigate the impact of star ratings and sentiment on product demand.
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An Unintended Consequence of Platform Dependence: Empirical Evidence from Food-Delivery Platforms

TL;DR: In this paper, the authors investigate the impact of food-delivery platforms on the demand forecast error in quick-service restaurants and analyze the underlying mechanism, finding that as customers become increasingly dependent on online food delivery platforms, QSR demand becomes harder to forecast.