An innovative framework for the study and structure of airport business models

Kalakou, Sofia; Macário, Rosàrio

doi:10.1016/j.cstp.2013.09.001

Cited by 31 publications

(21 citation statements)

References 15 publications

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“…Based on a comprehensive approach to the passenger experience, other aspects of the commercial facilities and services were added. Since commercial revenues are increasingly important, this modification follows the ongoing debate on airport management (Fasone et al, 2016;Halpern and Graham, 2013;Kalakou and Macário, 2013;Wattanacharoensil et al, 2016).…”

Section: Measurement Items and Questionnaire Developmentmentioning

confidence: 99%

Determinants of passenger loyalty in multi-airport regions: Implications for tourism destination

Bezerra

Gomes

2019

Tourism Management Perspectives

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This study examines the drivers of passenger loyalty to the airport in a multi-airport region.For this purpose, partial least squares-structural equation modelling (PLS-SEM) was used to analyse survey data. The findings highlight the role of customer segmentation to define marketing and operational strategies, which should be used to strengthen the loyalty to the airport as well as to contribute to the improvement of the tourism destination image. In addition, this research offers an integrative approach to analyse passenger perceptions and attitudes regarding the airport experience. This integrative approach can also help airport managers to design and implement more effective performance measurement systems, which could be used to transform the airport environment in a tourism experience.

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Section: Measurement Items and Questionnaire Developmentmentioning

confidence: 99%

Determinants of passenger loyalty in multi-airport regions: Implications for tourism destination

Bezerra

Gomes

2019

Tourism Management Perspectives

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“…It is a standard systematic process to represent business-operations archetypes compatible with the article's objective -to illustrate the overall airport business operations. The BMC components are classified into value and efficiency parts (Kalakou & Macário, 2013), consisting of nine components that illustrate how a firm does business (Figure 2). The BMC's nine building blocks are described below.…”

Section: Business Model Canvas As An Analytical Frameworkmentioning

confidence: 99%

The Success behind the World’s Best Airport: The Rise of the Changi

Chutiphongdech

Vongsaroj

2021

ASI

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Singapore Changi International Airport received the World's Best Airport from Skytrax. This was the 8th consecutive year that Changi won this renowned award. This paper aims to investigate Changi’s overall business operations to track its accomplishments in airport development. Examining the lessons learned by using a descriptive analysis under the Business Model Canvas (BMC) framework, the results reveal that Singapore Changi International Airport is a destination in itself. This concept affects customers' segmentation, which links to different value propositions deriving from using key resources and synergy among strategic partnerships. This paper also suggests that sustainability should be added to the BMC framework since it is another component behind the airport’s success. The practical contributions deriving from the lessons learned are presented.

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“…However, a frequent problem in air cargo research is the unavailability of data (e.g. Kalakou and Macário, 2013). Of the 196 airports, only 114 airports provide a full data set that can be used in the cluster analysis.…”

Section: Airport Samplementioning

confidence: 99%

Airport classification based on cargo characteristics

Mayer

2016

Journal of Transport Geography

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Air cargo has received little attention in airport research. In this paper, 114 airports are grouped according to their cargo business characteristics. Applying a hierarchical cluster analysis, the paper uses absolute (cargo tonnage) and relative measures (share of cargo work load units, of freighter movements and of international cargo) to establish the reliance of different airport types and groupings on air cargo. Eight distinct clusters are identified which show clear differences in the characteristics of the sample with regards to cargo activities. Geographic patterns of these airports are also revealed. For example, North American and European airports are characterised by features unique to these regions. Airports that are highly dependent on air cargo tend to benefit from a central location within networks of cargo airlines, while other airports with high cargo volumes generate these as a result of significant belly-capacity of passenger operations. Understanding the heterogeneity of cargo airports is important for future benchmarking studies in this field.

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An innovative framework for the study and structure of airport business models

Cited by 31 publications

References 15 publications

Determinants of passenger loyalty in multi-airport regions: Implications for tourism destination

Determinants of passenger loyalty in multi-airport regions: Implications for tourism destination

The Success behind the World’s Best Airport: The Rise of the Changi

Airport classification based on cargo characteristics

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