Seyed Morteza Emadi

University of North Carolina (UNC) at Chapel Hill - Kenan-Flagler Business School

McColl Building

Chapel Hill, NC 27599-3490

United States

SCHOLARLY PAPERS

4

DOWNLOADS

109

SSRN CITATIONS

6

CROSSREF CITATIONS

3

Scholarly Papers (4)

1.

A Structural Estimation Approach to Agent Attrition

Number of pages: 44 Posted: 14 Jun 2018
Seyed Morteza Emadi and Bradley R. Staats
University of North Carolina (UNC) at Chapel Hill - Kenan-Flagler Business School and University of North Carolina Kenan-Flagler Business School
Downloads 51 (426,835)
Citation 6

Abstract:

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Attrition, Empirical Operations, People Operations, Structural Estimation

2.

Don't Call Us, We'll Call You: An Empirical Study of Caller Behavior Under a Callback Option

Kenan Institute of Private Enterprise Research Paper No. 19-10
Number of pages: 59 Posted: 01 Apr 2019
Brett Hathaway, Seyed Morteza Emadi and Vinayak Deshpande
Johns Hopkins University - Carey Business School, University of North Carolina (UNC) at Chapel Hill - Kenan-Flagler Business School and University of North Carolina (UNC) at Chapel Hill - Operations Area
Downloads 49 (434,258)
Citation 2

Abstract:

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Consumer Behavior, Queueing, Structural Estimation

3.

Personalized Priority Policies in Call Centers Using Past Customer Interaction Information

Number of pages: 33 Posted: 04 Jun 2020
Brett Hathaway, Seyed Morteza Emadi and Vinayak Deshpande
Johns Hopkins University - Carey Business School, University of North Carolina (UNC) at Chapel Hill - Kenan-Flagler Business School and University of North Carolina (UNC) at Chapel Hill - Operations Area
Downloads 9 (654,121)

Abstract:

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Structural Estimation, Priority Policies, Queues

4.

Customer Learning in Call Centers From Previous Waiting Experiences

Operations Research
Posted: 29 May 2018
Seyed Morteza Emadi and Jayashankar M. Swaminathan
University of North Carolina (UNC) at Chapel Hill - Kenan-Flagler Business School and University of North Carolina (UNC) at Chapel Hill - Operations Area

Abstract:

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Abandonment, Bayesian Learning, Structural Estimation