scholarly journals Analysis of Strategies Implemented by AirAsia to Cater to the Covid-19 Effects

2021 ◽  
Vol 4 (3) ◽  
pp. 49-67
Author(s):  
Rajesh Kumar Nair ◽  
Varsha Ganatra ◽  
Karishma Kaur ◽  
Daisy Mui Hung Kee ◽  
Wan Teng Khoo ◽  
...  

During the global pandemic, AirAsia reported an annual loss of RM5.9 billion ($1.4 billion) in 2020. The uncertainty of the COVID-19 outbreak, travel restrictions, and border controls had led to weaker air travel demand, which had impacted AirAsia’s operation badly. This paper depicts how Covid-19 impacted AirAsia and the strategies implemented by AirAsia during the pandemic in the marketing aspects. This paper also focuses on how AirAsia can anticipate a strong recovery in the airline industry while expanding to other industries. In extreme and under pressure circumstances, AirAsia implemented many strategies to cater to the effects of Covid-19. However, other strategies, such as focusing on their business in the food industry, should be expanded throughout Malaysia.

2012 ◽  
Vol 1 (2) ◽  
pp. 211-221 ◽  
Author(s):  
Herwina Rosnan ◽  
Razmah Mahmod

Malaysia Airlines (MAS) is the Malaysian national air carrier. It was incorporated during the early days of air travel in 1937. From a humble beginning, MAS has developed into a renowned international airline with award-winning products and services. It managed to achieve cost efficiency and operates slightly below industry average. MAS has gone through several changes in its management over the years and still survives. However, being a national air carrier and government owned, MAS has several constraints in its operation where it has to balance between political and social obligations, and at the same time consider its commercial interest. Thus, some of the decisions on air service destinations, pricing structure and other business factors cannot be made purely based on commercial ground. This had affected the profitability of the airline. Furthermore, the global airline industry was facing turmoil since 11 September 2001 as a result of significant decline in air travel demand as well as the increase in fuel cost. Without exception, MAS was also badly hit and had recorded a substantial RM 1.3 billion loss in 2005. The bad market environment at that time continues to hit MAS hard. Hence, it was inevitable for the airline to make drastic changes in order to respond to the volatile business environment. Therefore, a real and radical business turnaround plan was imperative for MAS. Introduced in 2006, the Business Turnaround Plan (BTP) managed to bring MAS out of its financial crisis within two years of its implementation. This case highlights the winning strategies and action plans implemented by MAS in the BTP that had successfully turnaround this national air carrier from a deep financial crisis. As a result, from a substantial loss of RM 1.3 billion in 2005, MAS achieved a record-breaking profit of RM 610 million in 2007.


2010 ◽  
Vol 2 (3) ◽  
pp. 1-43 ◽  
Author(s):  
Steven Berry ◽  
Panle Jia

The US airline industry went through tremendous turmoil in the early 2000s, with four major bankruptcies, two major mergers, and various changes in network structure. This paper presents a structural model of the industry, and estimates the impact of demand and supply changes on profitability. Compared with 1999, we find that, in 2006, air-travel demand was 8 percent more price sensitive, passengers displayed a stronger preference for nonstop flights, and changes in marginal cost significantly favored nonstop flights. Together with the expansion of low-cost carriers, they explain more than 80 percent of legacy carriers' variable profit reduction. (JEL L13, L25, L93)


2021 ◽  
Author(s):  
João Pedro Bazzo ◽  
Carlos Kauê Vieira Braga ◽  
Rafael H. M. Pereira

The drastic reduction in economic activities caused by the COVID-19 pandemic creates a unique and timely opportunity to examine the environmental impacts of human activity. In several countries, the aviation sector was dramatically affected by the travel restrictions, resulting in a change of trip demand and in a drop of fuel consumption. Nonetheless, little attention has been paid to the impact of the pandemic on air travel demand, one of the fastest-growing sources of emissions globally. This paper estimates the impact of the COVID-19 on air travel demand and emissions in Brazil, the largest aviation market in Latin America. Combining detailed flight data with daily number of passengers and fuel consumption and data on combustion emission factors, we estimate CO2 emissions of domestic flights in Brazil. A Bayesian structural time-series model was used to estimate the impact of COVID-19 on daily trends of air travel demand and emissions. We find that the COVID-19 pandemic caused a reduction of 68% on national passengers and 62% in total CO2 emissions compared to what would have occurred if the pandemic had not happened. It avoided a total of approximately 4.6 megatons of CO2 between March and December 2020 in Brazil, the equivalent of one year of domestic flight emissions in France. Despite such a sharp drop in commercial aviation, passenger demand recovered to 64.2% of pre-pandemic levels by the end of 2020. CO2 emissions had a 52.6% reduction in 2020 and the emissions per capita increased after the COVID-19 outbreak. Although the precise impact of the COVID-19 on this figure is not yet fully understood, the fast recovery in domestic flights by December 2020 indicates that the emissions could soon return to pre-pandemic levels, demonstrating the challenges of reducing emissions in the aviation sector in the short term.


Author(s):  
Jungin Kim ◽  
Ikki Kim ◽  
Jaeyeob Shim ◽  
Hansol Yoo ◽  
Sangjun Park

The objectives of this study were to (1) construct an air demand model based on household data and (2) forecast future air demand to explain the relationship between air demand and individual travel behavior. To this end, domestic passenger air travel demand at Jeju Island in South Korea was examined. A multiple regression model with numerous explanatory variables was established by examining categorized household socioeconomic data that affected air demand. The air travel demand model was calibrated for 2009–2015 based on the annual average number of visits to Jeju Island by households in certain income groups. The explanatory variable was set using a dummy variable for each household income group and the proportion of airfare to GDP per capita. Higher household income meant more frequent visits to Jeju Island, which was well-represented in the model. However, the value of the coefficient for the highest income was lower than the value for the second-highest income group. This suggested that the highest income group preferred overseas travel destinations to domestic ones. The future air demand for Jeju airport was predicted as 26,587,407 passengers in 2026, with a subsequent gradual increase to approximately 33,000,000 passengers by 2045 in this study. This study proposed an air travel demand model incorporating household socioeconomic attributes to reflect individual travel behavior, which contrasts with previous studies that used aggregate data. By constructing an air travel model that incorporated socioeconomic factors as a behavioral model, more accurate and consistent projections could be obtained.


2010 ◽  
Vol 6 (1) ◽  
pp. 29-49 ◽  
Author(s):  
Min Wang ◽  
Haiyan Song

2020 ◽  
Vol 80 ◽  
pp. 102840 ◽  
Author(s):  
Susanne Becken ◽  
Fabrizio Carmignani

2003 ◽  
Vol 7 (5) ◽  
pp. 603-609 ◽  
Author(s):  
Kyung Whan Kim ◽  
Hyun Yeal Seo ◽  
Young Kim

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