Unmanned Aerial Vehicle Brands Fan Page Engagement Behavior Analytics

Unmanned Aerial Vehicle Brands Fan Page Engagement Behavior Analytics

Senith S., Alfred Kirubaraj, Nisha Malini, Jegadeeswari M., Poornima Vijaykumar, Praveen Kumar S.
ISBN13: 9781799887638|ISBN10: 1799887634|EISBN13: 9781799887652
DOI: 10.4018/978-1-7998-8763-8.ch008
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MLA

S., Senith, et al. "Unmanned Aerial Vehicle Brands Fan Page Engagement Behavior Analytics." Unmanned Aerial Vehicles and Multidisciplinary Applications Using AI Techniques, edited by Bella Mary I. Thusnavis, et al., IGI Global, 2022, pp. 166-187. https://doi.org/10.4018/978-1-7998-8763-8.ch008

APA

S., S., Kirubaraj, A., Malini, N., M., J., Vijaykumar, P., & S., P. K. (2022). Unmanned Aerial Vehicle Brands Fan Page Engagement Behavior Analytics. In B. Thusnavis, K. Sagayam, & A. Elngar (Eds.), Unmanned Aerial Vehicles and Multidisciplinary Applications Using AI Techniques (pp. 166-187). IGI Global. https://doi.org/10.4018/978-1-7998-8763-8.ch008

Chicago

S., Senith, et al. "Unmanned Aerial Vehicle Brands Fan Page Engagement Behavior Analytics." In Unmanned Aerial Vehicles and Multidisciplinary Applications Using AI Techniques, edited by Bella Mary I. Thusnavis, K. Martin Sagayam, and Ahmed A. Elngar, 166-187. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-7998-8763-8.ch008

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Abstract

Over the last few years, the way people trade information and communicate with one another has changed tremendously. In business communication, social media channels such as Facebook, Twitter, and YouTube are becoming increasingly significant. Nevertheless, the study into online brand fan page is primarily focused on using website platforms rather than social media platforms. As a result, more research is needed to analyze UAV businesses' fan page engagement behavior in order to grow their fan base and further induce a fan's buying behavior using the honeycomb model's views. Consumers who have participated in an online brand fan page are the study's target group. A web-based survey was used to collect data. Identity, conversation, presence, sharing, reputation, relationships, and groups all had a significant beneficial effect on brand equity, according to the findings. This study confirms the impact of perceived value in improving various fan page behaviors, which aids in the identification and implementation of an online engagement plan for purchase.

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