A Machine Learning Based Approach to Predicting Flight Fares for Indian Airlines

Dixit, Vageesh; Srinivasan, R.

doi:10.1109/iciet57285.2023.10220725

Cited by 2 publications

(1 citation statement)

References 9 publications

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“…This metric provides a direct insight into an airline's competitiveness within its market. Previous literature highlights that higher market shares are indicative of an airline's strong customer base, effective service delivery, and favorable image among travelers (Dixit & Srinivasan, 2023;Dresner et al, 2018;Gualini et al, 2023;Zou et al, 2023). A significant market share suggests that an airline has managed to secure a larger slice of the customer base, potentially by offering competitive fares, efficient operations, and superior customer experiences.…”

Section: Conceptual Frameworkmentioning

confidence: 99%

Unveiling Key Differentiated Service Dimensions of the Airlines Performances in the COVID-19 Aftermath

Tansitpong

2024

International Journal of Asian Business and Information Management

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The study examines service dimensions provided by each operating flight to explore their impact on airline operational performance. The results suggested that after COVID-19, better quality of responding to requests, service efficiency, check-in processes, and arrival service are crucial operational factors contributing to increased market share. Regression analysis reveals a crucial link between service quality and operational outcomes. Moreover, networks or number of operating countries have positive impacts on load factor. The study reveals the interconnected nature of service quality and operational outcomes, shedding light on how factors such as passenger interactions, efficient airport services, and in-flight service execution collectively impact both market share and load factors in the post-COVID-19 context. This study provides valuable insights into the intricacies of missing gaps in the service of the industry that have a pivotal role in customer experience and shaping operational achievements.

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Section: Conceptual Frameworkmentioning

confidence: 99%

Unveiling Key Differentiated Service Dimensions of the Airlines Performances in the COVID-19 Aftermath

Tansitpong

2024

International Journal of Asian Business and Information Management

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A Web-Based Platform to Reduce Food Wastage Through Women Organisation

Rajendran,

Rajeswari

2024

Advances in Computational Intelligence and Robotics

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Food waste can be reduced and people in need can be helped by giving extra food to orphanage kids, elderly people, etc. Around the world, a lot of women's NGOs and groups focus on helping women and addressing challenges like hunger and food insecurity. This chapter assists in filling the gap between the orphanage and the food excess through the women's organisation. This concept gives women's organisations a platform to meaningfully support society. Around the world, there are numerous organisations dedicated to empowering women in various fields. The fundamental factor that is probably connected to women is food. This chapter offers a platform for women's organisations to reduce food waste. This application connects those in need by utilising artificial intelligence capabilities. This chapter offers a web-based platform for women's organisations to reduce food waste. A web application connects the needy people and people who have extra food using artificial intelligence capabilities.

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A Machine Learning Based Approach to Predicting Flight Fares for Indian Airlines

Cited by 2 publications

References 9 publications

Unveiling Key Differentiated Service Dimensions of the Airlines Performances in the COVID-19 Aftermath

Unveiling Key Differentiated Service Dimensions of the Airlines Performances in the COVID-19 Aftermath

A Web-Based Platform to Reduce Food Wastage Through Women Organisation

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