期刊文献+

旅游网络抱怨影响因素研究:个体与群体差异 被引量:2

A Study on Factors in Tourists' Online Complaint: Disparity between Individual and Group
原文传递
导出
摘要 旅游网络抱怨事件频频发生,如何应对游客的网络抱怨,是旅游业面临的新课题。本文以北川地震遗址博物馆由于收费上涨而引起大量消费者在微博、论坛、网站抱怨这一现象为研究对象,探讨旅游网络抱怨意愿的影响因素及行为。通过网络和现场发放问卷,获得有效问卷304份。利用相关分析和回归分析发现:一是消费者在网络上容易表达不满,抱怨意愿较强;二是抱怨目的、态度和不满归因中的捐款经历、景区公益性特征影响网络抱怨意愿,涨价、主观规范、感知行为控制、网络渠道的有效性与丧失自我意识优势对网络抱怨意愿无显著影响;三是网络个体抱怨归因与网络群体抱怨归因对抱怨意愿存在显著差异,尤其是网络群体互动下,形成极高的群体团结意识,放大了抱怨意愿。旅游网络抱怨研究对增强网络环境下旅游风险的控制能力提供了理论依据。 In recent years, mass complaints on Internet occurs frequently due to overcharging customers in Sanya,tickets event in Phoenix Ancient Town, ticket price rising in Beichuan Earthquake Ruins, some of which have become focus events for news media and society, even blemished the image of tourist destinations. High attention has been paid to such complaint in academia and industry. So how to deal with tourists' complaint on Internet has be- come a new subject that tourism industry must face with. However, there is little research work about group complaint on Internet of tourism consumers. According to the current research findings, all of them are about individual complaint in the Internet environment, and group com- plaint in the interactive Internet environment hasn' t been involved. This paper chooses and applies typical cases about group complaint on Internet to study a large number of tour- ists' complaint on Internet (Microblog, Forum, and Website) about rising in price for entering Beichuan Earth- quake Ruins Museum. To improve the ability to control the traveling risk in the Internet environment, this paper compares differences of discontent and desire to complain that individuals and group show in prices rising event and explores factors that affect complaint on Internet. This paper also explains the reason why tourists' complaint occurs frequently and its amplification mechanism. 304 valid questionnaires are collected online and offline. By adopting the method of Correlation and Regression Analysis, it comes to following conclusions:Firstly, consumers are more willing to show their discontent and have a stronger desire to complain on Internet. Secondly, complaining purpose, attitude towards complaint and the attribu- tion of discontent have influence on the desire to complain on Internet. Explanation is the most thing they seek for through complaining , followed by the attitude towards complaining on Internet. Doubt and incomprehension are the from the event of " price rising storm" th
作者 黄鹂 李婷
出处 《经济管理》 CSSCI 北大核心 2016年第5期132-142,共11页 Business and Management Journal ( BMJ )
基金 四川大学中央高校基本科研业务费研究专项项目"自然灾害后旅游价格促销策略的反应研究"(skqy201101) 山西哲学社会科学规划课题"五台山景区游客感知 满意度与信息需求研究"(晋规办字[2015]3号)
关键词 旅游网络抱怨 影响因素 差异 黑色旅游景区 tourists ' online complaint determinants differences dark tourist attractions
  • 相关文献

参考文献35

  • 1Andreassen T W, Streukens S. Online Complaining: Understanding the Adoption Process and the Role of Individual and Situa- tional Characteristics [ J ]. Managing Service Quality, 1991,23, ( 1 ) :4 - 24. 被引量:1
  • 2Beck L,Ajzen I. Predicting Dishonest Actions Using the Theory of Planned Behavior[ J ]. Journal of Research in Personality, 1991,25, (3) :285 - 301. 被引量:1
  • 3Cachia, R. , Compafi6, R. , Costa, O. D. Grasping the Potential of Online Social Networks for Foresight [ J ]. Technological Fore- casting and Social Change, 2007,74, (8) : 1179 - 1203. 被引量:1
  • 4Chang C C, Chin Y C. Comparing Consumer Complaint Responses to Online and Offline Environment [ J ]. Internet Research Electronic Networking Applications & Policy, 2011,21, (2) : 124 - 137. 被引量:1
  • 5Corrocher, N. The adoption of Web 2. 0 Services:an Empirical Investigation [ J ]. Technological Forecasting and Social Change ,2011,78, (4) :547 - 558. 被引量:1
  • 6Crosby, L. A. , Stephens, N. Effects of Relationship Marketing on Satisfaction, Retention, and Prices in the Life Insurance In- dustry [ J ]. Journal of Marketing Research, 1987,24, (4) :404 - 411. 被引量:1
  • 7Dunkley R. , Morgan N. ,Westwood S. Visiting the Trenches:Exploring Meanings and Motivations in Battlefield Tourism [ J ] Tourism Management, 2011,32, (4) : 860 - 868. 被引量:1
  • 8Hong JY, Lee WN. Consumer Complaint Behavior in the Online Environment[ J ]. Web Systems Design and Online Consumer Behavior,2005:90 - 105. 被引量:1
  • 9Harrison-Walker, L. J. E-complainlng:a Content Analysis of an Internet Complaint Forum [ J ]. Journal of Services Marketing, 2001,15, (5) :397 -412. 被引量:1
  • 10Halstead D, Drfige C. Consumer Attitudes Toward Complaining and the Prediction of Multiple Complaint Responses [ J]. Ad- vances in Consumer Research, 1991,18, (1) :210- 216. 被引量:1

二级参考文献54

  • 1Bolfing, Claire P. How Do Customers Express Dissatisfaction And What Can Service marketers do about it [J]. The Journal of Services Marketing, 1989,(12). 被引量:1
  • 2Warland , Rex ,Robert Hermann, and Jane Willits. Dissatisfied Consumers: Who Get Upset and Who Takes Action[J]. Journal of Consumer Affairs, 1975, (9) : p148--163. 被引量:1
  • 3Morganosky, M. A. , Buckley, H. M. Complaint Behavior: Analysis by Demographics, Lifestyle &Consumer Values[J]. in Advances in Consumer Research, Mich. : Association for Consumer Research, 1986, 223--226. 被引量:1
  • 4Singh, J. A Typology of Consumer Dissatisfaction Response Styles [J].Journal of Retailing, 1990,66, (1) : 57-- 97. 被引量:1
  • 5Broadbridge, A. and Marshall, J. Consumer Complaint Behavior: the Case of Electrical Goods[J].International Journal of Retail & Distribution Management,1995, 23, (9): 8--18. 被引量:1
  • 6Richins, M. L. An Analysis of Consumer Interaction Styles in the Marketplace[J]. Journal of Consumer Research, 1983, (10) : 73- 82. 被引量:1
  • 7Davis , Bagozzi and Warshaw. User Acceptance of Computer Technology : A Comparison of Two Theoretical Models[J]. Management of Science ,1989, 25,(8): 982--1003. 被引量:1
  • 8Amoako--Gyampah K, Salam A. F. Perceived Usefulness, User Involvement and Behavioral Intention: an Empirical Study of ERP Implementation[J]. Computers in Human Behavior, 2007,23, (3): 1232-- 1248. 被引量:1
  • 9Hung--Pin Shih. An Empirical Study on Predicting User Acceptance of E--shopping on the Web[J]. Information and Management, 2004, 41 ,(3) :351--368. 被引量:1
  • 10Vijayasarathy L. R. ,et al. Predicting Consumer Intentions to Use On-line Shopping: The Case for an Augmented Technology Acceptance Model[J].Information & Management, 2004, 41, (6) :747--762. 被引量:1

共引文献102

同被引文献13

引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部