Does asset-light strategy contribute to the dynamic efficiency of global airlines?

Wang, Weikang; Lin, Fengyi; Ting, Irene Wei Kiong; Kweh, Qian Long; Lu, Wen‐Min; Chiu, Tzu-Yu

doi:10.1016/j.jairtraman.2017.03.010

Cited by 22 publications

(14 citation statements)

References 51 publications

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“…Precisely, the purpose of implementing asset‐light strategy is to minimize physical resources and utilize them wisely and effectively while increasing corporate profitability. Consistently, Wang et al (2017) explain that taking full advantage of limited resources should be the main goal in a business as efficient management of limited resources means better performance. Liou (2011) further points out the cost advantage of having asset‐light strategy as compared with asset‐heavy approach.…”

Section: Literature Reviewmentioning

confidence: 96%

“…Their findings were consistent as they confirmed that the efficient management of core intangible assets acts as driving forces to corporation growth (Sohn, Tang, & Jang, 2014). Similarly, Wang et al (2017) point out that asset‐light strategy significantly enables global airlines to have better corporate performance. Hence, this study proposes the following hypothesis:Hypothesis The asset‐light strategy is positively related to corporate performance.…”

Section: Literature Reviewmentioning

confidence: 99%

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Asset‐light strategy, managerial ability, and corporate performance of the Asian telecommunications industry

Wang

Ting

et al. 2020

Manage Decis Econ

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This paper examines the effects of asset‐light strategy on the corporate performance of listed Asian telecommunications corporations and the moderating effect of managerial ability on the association between asset‐light strategy and corporate performance. The study applies the dynamic slacks‐based measure (DSBM) model and Tobit regression to measure managerial ability. The empirical results show that asset‐light strategy positively affects corporate performance and that managerial ability has a significant moderating effect on the relationship between the degree of asset‐lightness (DAL) and corporate performance. The findings further show that the greater the managerial ability, the stronger the relationship between DAL and corporate performance.

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Section: Literature Reviewmentioning

confidence: 96%

Section: Literature Reviewmentioning

confidence: 99%

Asset‐light strategy, managerial ability, and corporate performance of the Asian telecommunications industry

Wang

Ting

et al. 2020

Manage Decis Econ

Self Cite

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show abstract

“…Currently, dynamic DEA models applied in airline efficiency involved dynamic SBM [96]; virtual frontier dynamic SBM [58]; virtual frontier dynamic range-adjusted measure [61,76]; dynamic environmental DEA [58,85,97]; dynamic EBM [81]. Some papers combined dynamic models with network models, which included the relational dynamic network standard DEA model [59]; metadynamic network slack-based measure [75]; dynamic network SBM [83]; and fuzzy dynamic network DEA [64].…”

Section: Dynamic Dea In Airline Efficiencymentioning

confidence: 99%

“…Period Carryover (dynamic factor) Samples [60] 1988-1994 Capital 14 international airlines [75] 2007-2009 Net revenue 35 international airlines [59] 2010-2012 e number of fleet seats 8 Iranian airlines [61] 2010-2014 e number of planes 19 Latin American airlines [76] 2008-2012 Capital stock 22 international airlines [58] 2008-2012 Capital stock 21 international airlines [97] 2008-2014 Capital stock 18 international airlines [81] 2009-2014 Capital stock 19 international airlines [96] 2008-2013 Stockholder equity liabilities; intangible asserts 25 international airlines [83] 2009-2012 Size of self-owned fleet waypoints 30 international airlines [98] 2021-2023 Fleet size 29 international airlines [64] 2010-2012 e number of fleet seats 7 Iranian airlines [85] 2008-2014 Capital stock 18 international airlines [99] 2009-2015 Fleet size 29 international airlines ...... reasonably.…”

Section: Papersmentioning

confidence: 99%

A Review of Data Envelopment Analysis in Airline Efficiency: State of the Art and Prospects

Cui

2021

Journal of Advanced Transportation

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The rapid development of the aviation industry has brought about the deterioration of the climate, which makes airline efficiency become a hot issue of social concern. As an important nonparametric method, Data Envelopment Analysis (DEA), has been widely applied in efficiency evaluation. This paper examines 130 papers published in the period of 1993–2020 to summarize the literature involving the special application of DEA models in airline efficiency. The paper begins with an overall review of the existing literature, and then the radial DEA, nonradial DEA, network DEA, dynamic DEA, and DEA models with undesirable outputs applied in airline efficiency are introduced. The main advantages and disadvantages of the above models are summarized, and the drivers of airline efficiency are analyzed. Finally, the literature review ends up with future research directions and conclusions.

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“…They used the malmquist total factor efficiency index to identify changes in the efficiency of airlines. In later years Wang et al (2017), in their study to examine the financial performance of airlines, measured the efficiency of 49 airlines for the period 2008-2013 using the Data Envelopment Analysis technique. In this study, the total amount of debt, total operating expenses, fixed assets and total capital were evaluated as input variables, while market value and total income were evaluated as output variables.…”

Section: Literaturementioning

confidence: 99%

Financial Efficiency Measurement in Airlines and Determining Factors of Efficiency

Asker¹,

Aydin²

2021

Alanya Akademik Bakış

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The aim of the study is to compare airlines by carrying out measurement of efficiency of them obtaining different business models in terms of financial. The other aim is to reveal variables which have influence on score of efficiency. With this regard, airlines are separated into two groups, namely, traditional and low-cost airlines based on their business models. While the measurement of traditional and low-cost airlines efficiency was carried out with Data Envelopment Analysis, factors affecting efficiency scores of airlines were determined by Tobit regression model. According to the results of the study, airlines obtaining low-cost business model are more efficient than airlines obtaining traditional business model in terms of financial. Moreover, large-scale traditional airlines are more efficient than medium-scale traditional airlines. In terms of Tobit regression model, there are different results for two groups. INTRODUCTIONAir transportation, which appeared in 1990s and firstly was used for military purposes, started to be used for civil purposes with converting military aircraft into passenger aircraft after the Second World War. However, the development of air transportation was affected negatively by strict regulations in its first periods. First of all, with the deregulation movement which occurred in the United States of America in 1978, it can be said that the number of regulations curbing the development of air transportation have started to decrease. In the following years,

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Does asset-light strategy contribute to the dynamic efficiency of global airlines?

Cited by 22 publications

References 51 publications

Asset‐light strategy, managerial ability, and corporate performance of the Asian telecommunications industry

Asset‐light strategy, managerial ability, and corporate performance of the Asian telecommunications industry

A Review of Data Envelopment Analysis in Airline Efficiency: State of the Art and Prospects

Financial Efficiency Measurement in Airlines and Determining Factors of Efficiency

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