Exploring hidden topics on hotel Facebook fan pages before and during the COVID-19 crisis

2019年冠状病毒病(COVID-19) 2019-20冠状病毒爆发 严重急性呼吸综合征冠状病毒2型(SARS-CoV-2) 社会化媒体 广告 历史 媒体研究 业务 计算机科学 万维网 社会学 医学 病毒学 病理 传染病(医学专业) 疾病 爆发
作者
Inmaculada Rabadán Martín,Francisco Aguado Correa,Nuria Padilla Garrido
出处
期刊:Revista Brasileira de Gestão De Negócios [Álvares Penteado School of Commerce Foundation]
卷期号:25 (3): 291-314 被引量:1
标识
DOI:10.7819/rbgn.v25i3.4227
摘要

Purpose - This study analyzes the way that firm-generated content (FGC) was adapted in the accommodation sector through hotel chains' Facebook posts at a time of crisis. Specifically, this research aims to: (1) explore hidden topics in hotel chains' FGC; (2) classify topics according to their promotional or non-promotional content; and (3) compare topics during the first months of the COVID-19 crisis and the same months of 2019.Theoretical framework - The method/theoretical approach used in this research is social network analysis. Design/methodology/approach - We used content analysis to examine 1,317 Facebook posts from the five hotel chains with the greatest presence in Spain. NodeXL software was used to create a semantic network to reveal the relationships between the ideas embedded in the text collection.Findings - 14 latent topics were found in each period, including promotional and non-promotional content. Non-promotional topics increased from one third in 2019 to more than half in 2020, and the most relevant topic in 2020 was "Competitions".Practical & social implications of the research - The findings of our study suggest that during the pandemic, unlike other crises, hotel chains used Facebook to accompany users, entertain them, and maintain the emotional connection with the brand, responding to societal demands.Originality/value - This study is novel not only because of its focus on FGC in the tourist accommodation sector, but also because it uses semantic network analysis to study the way in which firms make use of social media in crisis situations
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
ddd应助鲤鱼雪巧采纳,获得10
刚刚
刚刚
小xy完成签到,获得积分10
刚刚
小小牛马应助鲤鱼雪巧采纳,获得10
刚刚
刚刚
丘比特应助鲤鱼雪巧采纳,获得10
刚刚
顺心飞扬完成签到,获得积分10
1秒前
2秒前
2秒前
3秒前
3秒前
v0id应助橘柚采纳,获得10
4秒前
4秒前
4秒前
4秒前
kukudou2完成签到,获得积分20
4秒前
滚滚完成签到,获得积分20
5秒前
大胆尔冬完成签到,获得积分10
5秒前
5秒前
土豆兄弟发布了新的文献求助10
5秒前
拾一完成签到,获得积分10
5秒前
5秒前
FashionBoy应助lqy采纳,获得10
5秒前
风中冷风完成签到,获得积分10
6秒前
6秒前
xuan发布了新的文献求助10
6秒前
6秒前
6秒前
7秒前
lgh发布了新的文献求助10
7秒前
molingyue完成签到,获得积分10
7秒前
Orange应助黎明采纳,获得10
7秒前
Kevin完成签到,获得积分10
7秒前
7秒前
huanxian1995完成签到,获得积分10
7秒前
心灵美绝施完成签到,获得积分10
8秒前
Yinzixin发布了新的文献求助10
8秒前
LL完成签到,获得积分10
8秒前
张阳完成签到,获得积分10
8秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
政治传播过程中的外交与说服——以中苏友好协会为例的历史考察 566
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7580222
求助须知:如何正确求助?哪些是违规求助? 9159768
关于积分的说明 19596271
捐赠科研通 7162829
什么是DOI,文献DOI怎么找? 3265857
关于科研通互助平台的介绍 2430774
邀请新用户注册赠送积分活动 2256746