Understanding the operating landscape of the global airline industry: A DEA integrated alternating conditional expectation approach

Purpose: This study investigates the relationships between service efficiency in 5 major cost centres (namely, business orientation, network coverage, physical resources, maintenance, repair and overhaul (MRO), and human resources) and profitability in the global airline industry. Design/methodology...

Full description

Saved in:
Bibliographic Details
Main Authors: LOW, Joyce M. W., YANG, Kum Khiong
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2019
Subjects:
Online Access:https://ink.library.smu.edu.sg/lkcsb_research/6485
https://ink.library.smu.edu.sg/context/lkcsb_research/article/7484/viewcontent/126_660_1_PB_PV_OA.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English
id sg-smu-ink.lkcsb_research-7484
record_format dspace
spelling sg-smu-ink.lkcsb_research-74842020-04-15T06:39:52Z Understanding the operating landscape of the global airline industry: A DEA integrated alternating conditional expectation approach LOW, Joyce M. W. YANG, Kum Khiong Purpose: This study investigates the relationships between service efficiency in 5 major cost centres (namely, business orientation, network coverage, physical resources, maintenance, repair and overhaul (MRO), and human resources) and profitability in the global airline industry. Design/methodology: The study integrates the Slack-based Model (SBM) of Data Envelopment Analysis (DEA) with the Alternating Conditional Expectation (ACE) regression to understand the relationships between an airline’s profitability and its efficiencies in 5 identified operations areas. Findings: Based on the observational data obtained from 75 international airlines, the relationships between operational performances and profitability are found to be curvilinear and contingent on an airline’s operating model. Research limitations/implications: The omission of non-IATA airlines and many low cost carriers may hinder a holistic view of the airline industry. Practical implications: Management can influence the profitability of an airline through its strategic operations decisions that affect an airline’s cost, service quality, and financial structure after the influences of location and size have set the stage. Airlines pursuing cost leadership should seek to increase productivity especially in MRO, human resources and physical resources; whereas airlines pursuing service differentiation may choose to provide quality service at lower efficiencies or pursue an approach to improve quality and efficiencies simultaneously. Originality/value: Identifying operations practices that are consistent with a firm’s competitive priorities is important in the multifaceted service environment today. An integrated SBM-ACE regression model, which permits different input-output mix, variable return to scale and non-linear relationship, is proposed and applied to analyze the profit impact of service efficiencies in the five key operations areas. 2019-06-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/6485 info:doi/10.3926/jairm.126 https://ink.library.smu.edu.sg/context/lkcsb_research/article/7484/viewcontent/126_660_1_PB_PV_OA.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University service quality efficiency cost-centric airlines service-centred airlines. Operations and Supply Chain Management Transportation
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic service quality
efficiency
cost-centric airlines
service-centred airlines.
Operations and Supply Chain Management
Transportation
spellingShingle service quality
efficiency
cost-centric airlines
service-centred airlines.
Operations and Supply Chain Management
Transportation
LOW, Joyce M. W.
YANG, Kum Khiong
Understanding the operating landscape of the global airline industry: A DEA integrated alternating conditional expectation approach
description Purpose: This study investigates the relationships between service efficiency in 5 major cost centres (namely, business orientation, network coverage, physical resources, maintenance, repair and overhaul (MRO), and human resources) and profitability in the global airline industry. Design/methodology: The study integrates the Slack-based Model (SBM) of Data Envelopment Analysis (DEA) with the Alternating Conditional Expectation (ACE) regression to understand the relationships between an airline’s profitability and its efficiencies in 5 identified operations areas. Findings: Based on the observational data obtained from 75 international airlines, the relationships between operational performances and profitability are found to be curvilinear and contingent on an airline’s operating model. Research limitations/implications: The omission of non-IATA airlines and many low cost carriers may hinder a holistic view of the airline industry. Practical implications: Management can influence the profitability of an airline through its strategic operations decisions that affect an airline’s cost, service quality, and financial structure after the influences of location and size have set the stage. Airlines pursuing cost leadership should seek to increase productivity especially in MRO, human resources and physical resources; whereas airlines pursuing service differentiation may choose to provide quality service at lower efficiencies or pursue an approach to improve quality and efficiencies simultaneously. Originality/value: Identifying operations practices that are consistent with a firm’s competitive priorities is important in the multifaceted service environment today. An integrated SBM-ACE regression model, which permits different input-output mix, variable return to scale and non-linear relationship, is proposed and applied to analyze the profit impact of service efficiencies in the five key operations areas.
format text
author LOW, Joyce M. W.
YANG, Kum Khiong
author_facet LOW, Joyce M. W.
YANG, Kum Khiong
author_sort LOW, Joyce M. W.
title Understanding the operating landscape of the global airline industry: A DEA integrated alternating conditional expectation approach
title_short Understanding the operating landscape of the global airline industry: A DEA integrated alternating conditional expectation approach
title_full Understanding the operating landscape of the global airline industry: A DEA integrated alternating conditional expectation approach
title_fullStr Understanding the operating landscape of the global airline industry: A DEA integrated alternating conditional expectation approach
title_full_unstemmed Understanding the operating landscape of the global airline industry: A DEA integrated alternating conditional expectation approach
title_sort understanding the operating landscape of the global airline industry: a dea integrated alternating conditional expectation approach
publisher Institutional Knowledge at Singapore Management University
publishDate 2019
url https://ink.library.smu.edu.sg/lkcsb_research/6485
https://ink.library.smu.edu.sg/context/lkcsb_research/article/7484/viewcontent/126_660_1_PB_PV_OA.pdf
_version_ 1770575047160758272