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Multi-Stage Stochastic Frontier Analysis for Simple Networks

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Multi-Stage Stochastic Frontier Analysis for Simple Networks. / Johnes, Geraint; Tsionas, Mike; Izzeldin, Marwan.
In: International Transactions in Operational Research, 30.08.2024.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Johnes, G, Tsionas, M & Izzeldin, M 2024, 'Multi-Stage Stochastic Frontier Analysis for Simple Networks', International Transactions in Operational Research. https://doi.org/10.1111/itor.13538

APA

Johnes, G., Tsionas, M., & Izzeldin, M. (2024). Multi-Stage Stochastic Frontier Analysis for Simple Networks. International Transactions in Operational Research. Advance online publication. https://doi.org/10.1111/itor.13538

Vancouver

Johnes G, Tsionas M, Izzeldin M. Multi-Stage Stochastic Frontier Analysis for Simple Networks. International Transactions in Operational Research. 2024 Aug 30. Epub 2024 Aug 30. doi: 10.1111/itor.13538

Author

Johnes, Geraint ; Tsionas, Mike ; Izzeldin, Marwan. / Multi-Stage Stochastic Frontier Analysis for Simple Networks. In: International Transactions in Operational Research. 2024.

Bibtex

@article{cc7c2d5672f04ebda5bb382cfb6572e5,
title = "Multi-Stage Stochastic Frontier Analysis for Simple Networks",
abstract = "We develop a method for modelling multi-stage production using stochastic frontier analysis.This approach is suitable for the analysis of costs or output where intermediate outputs become inputs into a subsequent stage of the production process, either within an organization or in the form of a supply chain. Our focus is on higher education institutions in England, and the purpose is to assess the performance of our novel methods using MCMC methods.Without taking into full account of the complexity of the {\textquoteright}network{\textquoteright}, key decisions cannot be made regarding intake quality, student/staff ratios, per-student spending or academic reputation (the last of which involves costly decisions in terms of academic openings and the profile of candidates desired for any given university).",
keywords = "networks, stochastic frontier analysis",
author = "Geraint Johnes and Mike Tsionas and Marwan Izzeldin",
year = "2024",
month = aug,
day = "30",
doi = "10.1111/itor.13538",
language = "English",
journal = "International Transactions in Operational Research",
issn = "0969-6016",
publisher = "Blackwell Publishing",

}

RIS

TY - JOUR

T1 - Multi-Stage Stochastic Frontier Analysis for Simple Networks

AU - Johnes, Geraint

AU - Tsionas, Mike

AU - Izzeldin, Marwan

PY - 2024/8/30

Y1 - 2024/8/30

N2 - We develop a method for modelling multi-stage production using stochastic frontier analysis.This approach is suitable for the analysis of costs or output where intermediate outputs become inputs into a subsequent stage of the production process, either within an organization or in the form of a supply chain. Our focus is on higher education institutions in England, and the purpose is to assess the performance of our novel methods using MCMC methods.Without taking into full account of the complexity of the ’network’, key decisions cannot be made regarding intake quality, student/staff ratios, per-student spending or academic reputation (the last of which involves costly decisions in terms of academic openings and the profile of candidates desired for any given university).

AB - We develop a method for modelling multi-stage production using stochastic frontier analysis.This approach is suitable for the analysis of costs or output where intermediate outputs become inputs into a subsequent stage of the production process, either within an organization or in the form of a supply chain. Our focus is on higher education institutions in England, and the purpose is to assess the performance of our novel methods using MCMC methods.Without taking into full account of the complexity of the ’network’, key decisions cannot be made regarding intake quality, student/staff ratios, per-student spending or academic reputation (the last of which involves costly decisions in terms of academic openings and the profile of candidates desired for any given university).

KW - networks

KW - stochastic frontier analysis

U2 - 10.1111/itor.13538

DO - 10.1111/itor.13538

M3 - Journal article

JO - International Transactions in Operational Research

JF - International Transactions in Operational Research

SN - 0969-6016

ER -