Standard
Congestion in the system. /
Marand, Ata Jalili; Mousavi Gargari, Seyyed Saber.
Influencing Customer Demand: An Operations Management Approach. ed. / M. Hemmati; Mohsen S. Sajadieh. Boca Raton: CRC Press, 2021. p. 135-155.
Research output: Contribution to book/anthology/report/proceeding › Book chapter › Research
Harvard
Marand, AJ & Mousavi Gargari, SS 2021,
Congestion in the system. in M Hemmati & M S. Sajadieh (eds),
Influencing Customer Demand: An Operations Management Approach. CRC Press, Boca Raton, pp. 135-155.
APA
Marand, A. J., & Mousavi Gargari, S. S. (2021).
Congestion in the system. In M. Hemmati, & M. S. Sajadieh (Eds.),
Influencing Customer Demand: An Operations Management Approach (pp. 135-155). CRC Press.
CBE
Marand AJ, Mousavi Gargari SS. 2021.
Congestion in the system. Hemmati M, S. Sajadieh M, editors. In Influencing Customer Demand: An Operations Management Approach. Boca Raton: CRC Press. pp. 135-155.
MLA
Marand, Ata Jalili and Seyyed Saber Mousavi Gargari
"Congestion in the system". and Hemmati, M. S. Sajadieh, Mohsen (editors).
Influencing Customer Demand: An Operations Management Approach. Chapter 8, Boca Raton: CRC Press. 2021, 135-155.
Vancouver
Marand AJ, Mousavi Gargari SS.
Congestion in the system. In Hemmati M, S. Sajadieh M, editors, Influencing Customer Demand: An Operations Management Approach. Boca Raton: CRC Press. 2021. p. 135-155
Author
Marand, Ata Jalili ; Mousavi Gargari, Seyyed Saber. /
Congestion in the system. Influencing Customer Demand: An Operations Management Approach. editor / M. Hemmati ; Mohsen S. Sajadieh. Boca Raton : CRC Press, 2021. pp. 135-155
Bibtex
@inbook{06aee4c7445745b384a6bbfa8f348726,
title = "Congestion in the system",
abstract = "This chapter reviews different approaches to the customer choice behavior model in congested systems from an operations management viewpoint. Considering systems modeled as queues, this chapter particularly focuses on models of individual customer choice rather than on models of aggregate demand with multiple decision-makers in the queueing literature. Factors influencing customer choice behavior are categorized and reviewed in four groups (factors with direct impact on customer utility, customer cognitive ability, customer risk attitude, and information availability), and empirical evidence forming the conceptual framework for studying the proposed factors is provided from the literature. The aim is to convey the point that the performance of a congested system on an aggregate level largely depends on how delay, as the main service/product attribute in such systems, is perceived by the system users in isolation from and in interaction with other attributes. The chapter is concluded by suggestions for future research.",
author = "Marand, {Ata Jalili} and {Mousavi Gargari}, {Seyyed Saber}",
year = "2021",
language = "English",
isbn = "9780367619985",
pages = "135--155",
editor = "M. Hemmati and {S. Sajadieh}, {Mohsen }",
booktitle = "Influencing Customer Demand",
publisher = "CRC Press",
}
RIS
TY - CHAP
T1 - Congestion in the system
AU - Marand, Ata Jalili
AU - Mousavi Gargari, Seyyed Saber
PY - 2021
Y1 - 2021
N2 - This chapter reviews different approaches to the customer choice behavior model in congested systems from an operations management viewpoint. Considering systems modeled as queues, this chapter particularly focuses on models of individual customer choice rather than on models of aggregate demand with multiple decision-makers in the queueing literature. Factors influencing customer choice behavior are categorized and reviewed in four groups (factors with direct impact on customer utility, customer cognitive ability, customer risk attitude, and information availability), and empirical evidence forming the conceptual framework for studying the proposed factors is provided from the literature. The aim is to convey the point that the performance of a congested system on an aggregate level largely depends on how delay, as the main service/product attribute in such systems, is perceived by the system users in isolation from and in interaction with other attributes. The chapter is concluded by suggestions for future research.
AB - This chapter reviews different approaches to the customer choice behavior model in congested systems from an operations management viewpoint. Considering systems modeled as queues, this chapter particularly focuses on models of individual customer choice rather than on models of aggregate demand with multiple decision-makers in the queueing literature. Factors influencing customer choice behavior are categorized and reviewed in four groups (factors with direct impact on customer utility, customer cognitive ability, customer risk attitude, and information availability), and empirical evidence forming the conceptual framework for studying the proposed factors is provided from the literature. The aim is to convey the point that the performance of a congested system on an aggregate level largely depends on how delay, as the main service/product attribute in such systems, is perceived by the system users in isolation from and in interaction with other attributes. The chapter is concluded by suggestions for future research.
UR - https://www.taylorfrancis.com/chapters/edit/10.1201/9781003107446-8/congestion-system-ata-jalili-marand-seyyed-saber-mousavi-gargari
M3 - Book chapter
SN - 9780367619985
SP - 135
EP - 155
BT - Influencing Customer Demand
A2 - Hemmati, M.
A2 - S. Sajadieh, Mohsen
PB - CRC Press
CY - Boca Raton
ER -