Study on IoT Big Data Direction in Civil Aviation

Hai, Tang; Zhang, Huan

doi:10.1007/978-3-031-06788-4_26

Cited by 3 publications

(4 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Prior research in the airline industry suggests that IoT-based CRM enhances the real-time data monitoring, collaborative, and data analytics capabilities of airlines (Keivanpour and Kadi, 2019;Pillai and Devrakhyani, 2020); sharpen network linkages with other airline companies (Bingemer, 2018) and airports (Zhang, 2020;Ushakov et al, 2022); reduces inventory cost (Keivanpour and Kadi, 2019); produces accurate traffic projections (Zhang and Yue, 2019), improves fleet availability and the availability of services (Keivanpour and Kadi, 2019). Such IoT-based CRM features allow airlines to provide customized services (He, 2020;Tang and Zhang, 2022) at a reasonable cost (Hammoud et al, 2018) and enhance customers' experience (Bingemer, 2018;Sharma et al, 2021;Ordóñez et al, 2020). These IoT-based CRM features could potentially allow airlines to improve customer satisfaction and loyalty; however, there is a dearth of research in the airline industry that could make this case.…”

Section: Prior Research On Iot-based Crm In the Airline Industrymentioning

confidence: 99%

“…These co-branded credit cards boost consumer loyalty and encourage increased spending (Wang and Hsu, 2016) Prior research demonstrates that IoT-based CRM helps airlines strengthen their network linkages with other airlines (Bingemer, 2018), airports (Zhang, 2020;Ushakov et al, 2022), etc. Airlines can offer tailored services (He, 2020;Tang and Zhang, 2022) at affordable prices (Hammoud et al, 2018) and improve the consumer experience (Bingemer, 2018;Sharma et al, 2021;Ordóñez et al, 2020) because of these linkages.…”

Section: Cross-industry Partnershipmentioning

confidence: 99%

“…Prior research in the airline industry has shown several advantages of using IoT-based CRM technology. IoT-based CRM enables airlines to provide customized services to passengers at a reasonable cost (Hammoud et al, 2018;He, 2020;Tang and Zhang, 2022), improve the availability of services (Keivanpour and Kadi, 2019;Pillai and Devrakhyani, 2020) and customer experience (Bingemer, 2018;Sharma et al, 2021;Ordóñez et al, 2020). However, there is a shortage of research studies that portray the significance of IoT-based CRM in leading to customer satisfaction and loyalty in the airline industry.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A review of recent advances in Internet of Things-based customer relationship management to improve customer satisfaction and loyalty in the airline industry

Almansour,

Luo,

Lin

2024

Int. j. adv. appl. sci.

View full text Add to dashboard Cite

Airlines use strategies to build and keep profitable, loyal customers through customer relationship management (CRM). However, as customer needs change, CRM systems must also change. With the Internet of Things (IoT) offering new ways to improve how customers experience services, airlines are combining IoT with their CRM systems. The connections airlines have with partners, airports, hotels, and banks can help meet these changing customer needs. However, past studies have not fully looked into how IoT-enhanced CRM helps make customers more satisfied and loyal or how airlines' connections with others play a part. Therefore, this study looks into how IoT-enhanced CRM is improving customer satisfaction and loyalty in airlines. It also examines how airlines' connections with others can support the relationship between IoT-enhanced CRM and customer satisfaction and loyalty. The study suggests a model and makes suggestions about the importance of IoT-enhanced CRM in making customers more satisfied and loyal. It also outlines how to test these suggestions and suggests directions for future research.

show abstract

Section: Prior Research On Iot-based Crm In the Airline Industrymentioning

confidence: 99%

Section: Cross-industry Partnershipmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A review of recent advances in Internet of Things-based customer relationship management to improve customer satisfaction and loyalty in the airline industry

Almansour,

Luo,

Lin

2024

Int. j. adv. appl. sci.

View full text Add to dashboard Cite

show abstract

“…Monitoring of aircrafts in airport is critical for the safe operation of civil aviation. Today, aircraft surveillance often involves the integration of multiple information sources, such as airport surveillance radars and multi-point positioning systems [1]. However, due to high costs, this is a challenge for regional airports.…”

Section: Introductionmentioning

confidence: 99%

Aircraft Objection Detection Method of Airport Surface based on Improved YOLOv5

Rui Zhou,

2024

jes

View full text Add to dashboard Cite

An aircraft object detection method on the basis of improved YOLOv5 was proposed to address the issues of large model size, high number of parameters, and inability to meet real-time monitoring requirements of aircrafts in traditional object detection. Firstly, the basic unit of ShuffleNetv2 network was optimized through replacing 3x3 convolution with 5x5 convolution and removing subsequent 1x1 convolution. Simultaneously, the original ReLU activation function was replaced with PReLU. Secondly, CBAM (Convolutional Block Attention Module) attention mechanism was developed to enhance the detection accuracy of the improved network. Finally, improved ShuffleNetv2 network was applied as the backbone structure of YOLOv5. Experimental results revealed that the parameter number of the improved YOLOv5 method introduced in this paper was decreased by 18 times, with a model size of 1.03M. Therefore, a 20.8% increase was achieved in frames per second (FPS) in GPU environments and a 234.6% increase was observed in FPS in CPU environments, while a mean average precision (mAP@0.5) of 0.99 was maintained compared with traditional YOLOv5 network. Because of the advantages of fewer parameters, faster recognition speed, higher localization accuracy, and smaller memory requirement, the developed method was found to be suitable for real-time monitoring of aircrafts in airport surface.

show abstract

Internet of things and aviation: a bibliometric and visualization analysis

Burak

KÜSBECİ

2023

View full text Add to dashboard Cite

PurposeConsidering both the current opportunities of the Internet of things (IoT) and aviation, as well as the potential opportunities they may offer for the future, it is understood that they are among the important issues that need to be examined in the literature. This study aims to provide an idea by conducting bibliometric and visualization analyses of the current trends and development opportunities of IoT and aviation.Design/methodology/approachIn this study, descriptive and bibliometric analyses within the framework of co-author, co-citation, bibliographic coupling, and keyword co-occurrence analysis were carried out for publications found to be published between 2007 and 2023 in the Web of Science (WoS) database related to IoT and aviation. VOSviewer (ver. 1.6.18) program and the Biblioshiny application were used to create bibliometric networks and provide visualization.FindingsAs a result of some descriptive and visualization analyses, the current trend of publications on IoT and aviation and future publication opportunities has been revealed. It has been understood that the subject of IoT and aviation is one of the subjects whose number of publications has increased in recent years and has not yet fully matured in terms of the number of publications and has the potential to make new publications.Originality/valueIn this study, bibliometric analysis of IoT and aviation, which could not be found examined before in the literature, and the creation of existing bibliometric networks by visualizing were carried out.

show abstract

Study on IoT Big Data Direction in Civil Aviation

Cited by 3 publications

References 3 publications

A review of recent advances in Internet of Things-based customer relationship management to improve customer satisfaction and loyalty in the airline industry

A review of recent advances in Internet of Things-based customer relationship management to improve customer satisfaction and loyalty in the airline industry

Aircraft Objection Detection Method of Airport Surface based on Improved YOLOv5

Internet of things and aviation: a bibliometric and visualization analysis

Contact Info

Product

Resources

About