一星即差评?评论效价对酒店评论有用性的影响：一项混合方法研究

旅游科学 ›› 2023, Vol. 37 ›› Issue (2): 77-99.

一星即差评?评论效价对酒店评论有用性的影响：一项混合方法研究

鄢慧丽¹, 张小浩¹, 熊浩^2,*

1.海南大学旅游学院,海南海口 570228;
2.海南大学管理学院,海南海口 570228

收稿日期:2021-04-17 修回日期:2022-03-17 出版日期:2023-04-30 发布日期:2023-05-12
通讯作者: ^*熊浩（1981—）,男,博士,海南大学管理学院教授,博导,研究方向为大数据下的服务科学,E-mail： xh_xionghao@126.com。
作者简介:鄢慧丽（1980—）,女,博士,海南大学旅游学院教授,博导,研究方向为旅游体验与旅游消费行为,E-mail：yhl_yanhuili@126.com。张小浩（1996—）,男,海南大学旅游学院硕士生。
基金资助:
国家自然科学基金项目“基于大数据和多维张量分解的在线旅游个性化推荐模型研究”（72061010）; 海南省自然科学基金高层次人才项目“在线旅游社区中表情符号对用户生成内容有用性的影响研究：多源数据的混合研究方法”（623RC445）; 海南省研究生创新科研课题“表情符号对在线评论有用性的影响及作用机制研究”（Qhys2022-60）,“国际旅游消费中心建设背景下旅游纪念品溢价支付行为分析研究”（Qhys2022-57）

One-star Review Means Negative?The Effects of Hotel Review Valence on Review Usefulness：A Mixed Methods Research

YAN Huili¹, ZHANG Xiaohao¹, XIONG Hao^2,*

1. Hainan University, School of Tourism, Haikou 570228, China;
2. Hainan University, School of Management, Haikou 570228, China

Received:2021-04-17 Revised:2022-03-17 Online:2023-04-30 Published:2023-05-12

摘要/Abstract

摘要： 现有关于评论效价对评论有用性影响的研究结论并不一致,且在关键变量的测量上存在局限性。文章基于前景理论,构建一个有调节的中介模型,并采用更为严谨的大数据分析与情景实验的混合方法,探讨评论效价（负面评论vs.正面评论）对酒店评论有用性影响关系的作用机制及边界条件。结果表明：（1）评论效价对评论有用性存在显著的负向影响,即相较于正面评论,负面评论有用性更高;（2）感知风险在评论效价与评论有用性之间起部分中介作用;（3）情感强度在评论效价对评论有用性直接影响中起调节作用,即对于负面评论,情感强度越高,评论有用性越高,但这种影响差异对正面评论不显著;（4）情感强度对评论效价与评论有用性的中介路径也存在调节作用,具体而言,负面评论的情感强度越高,消费者对产品的感知风险越强,评论有用性也就越强;而正面评论的情感强度高低并不会引起感知风险的显著变化,因而对评论有用性的影响差异也不明显。文章有助于揭示评论效价对评论有用性影响的作用机制,也对酒店和平台的在线评论管理和营销实践具有一定的启示意义。

关键词: 评论效价, 评论有用性, 感知风险, 情感强度, 前景理论

Abstract: The results of current studies on the effects of review valence on review usefulness are inconsistent,and there are limitations regarding the measurement of review valence.Based on prospect theory,this paper constructed a moderated mediation model,and adopted more rigorous mixed methods including a big data analysis and a scenario-based experiment to explore the intrinsic mechanism and boundary conditions of the relationship between review valence and review usefulness.The results show that：（1） review valence has a significant negative effect on review usefulness,that is,the usefulness of negative reviews is higher than that of positive reviews;（2） perceived risk plays a partially mediating role between review valence and review usefulness,which means review valence can not only directly predict review usefulness,but also have an indirect effect on review usefulness by stimulating consumers'perceived risk about the product;（3） the direct effect of review valence on review usefulness is moderated by emotional intensity,that is to say,the higher the emotional intensity for negative review,the more useful the review is,but the effect is not significant for positive review;（4） emotional intensity can significantly moderate the relationship between review valence and review usefulness.Specifically,the higher the emotional intensity of negative reviews,the stronger consumers'perceived risk of the product,thereby increasing the usefulness of negative reviews.However,for positive reviews,there is no significant difference in the effect of emotional intensity on perceived risk no matter the emotional intensity is high or low,so there is no difference in the effect of review valence on review usefulness.The authors believe that the paper helps to reveal the mechanism of the effect of review valence on review usefulness,and also provides some important implications for the review management and marketing practice of hotels and platforms.

Key words: review valence, review usefulness, perceived risk, emotional intensity, prospect theory

中图分类号:

F719.2

鄢慧丽, 张小浩, 熊浩. 一星即差评?评论效价对酒店评论有用性的影响：一项混合方法研究[J]. 旅游科学, 2023, 37(2): 77-99.

YAN Huili, ZHANG Xiaohao, XIONG Hao. One-star Review Means Negative?The Effects of Hotel Review Valence on Review Usefulness：A Mixed Methods Research[J]. TOURISM SCIENCE, 2023, 37(2): 77-99.

参考文献

[1] 蔡淑琴,秦志勇,李翠萍,等,2017.面向负面在线评论的情感强度对有用性的影响研究[J].管理评论(2):79-86.
[2] 池毛毛,潘美钰,晏婉暄,2020.共享住宿中房客可持续消费行为的形成机制研究——用户生成信号和平台认证信号的交互效应[J].旅游学刊(7):36-48.
[3] 邓宁,刘耀芳,牛宇,等,2019.不同来源地旅游者对北京目的地形象感知差异——基于深度学习的Flickr图片分析[J].资源科学(3):416-429.
[4] 丁于思,肖轶楠,2014.基于网络点评的五星级酒店顾客满意度测评研究[J].经济地理(5):182-186.
[5] 杜晓梦,赵占波,崔晓,2015.评论效价,新产品类型与调节定向对在线评论有用性的影响[J].心理学报(4):555-568.
[6] 高静,焦勇兵,2016.社会化媒体信息源对旅游者行为意图的影响:感知有用性与可信度的中介作用[J].旅游论坛(3):17-26.
[7] 李宏,喻葵,夏景波,2011.负面在线评论对消费者网络购买决策的影响: 一个实验研究[J].情报杂志(5):202-206.
[8] 李进华,张婷婷,2018.社会化问答知识分享用户感知有用性影响因素研究——以知乎为例[J].现代情报(4):20-28.
[9] 李琪,马凯,阮燕雅,2014.负面评论和评级的不一致性对感知有用性的影响研究——以产品类型作为调节变量[J].软科学(4):102-106.
[10] 刘鲁川,孙怡璐,2020.不同情感强度的负面在线评论对消费者态度的影响——基于调节定向理论的实验研究[J].情报理论与实践(5):163-169.
[11] 吕兴洋,谭慧敏,曲颖,2018.避开比较会更好卖?评价模式对消费者酒店选择决策的影响研究[J].旅游科学(2):1-16.
[12] 宁连举,孙韩,2014.在线负面评论对网络消费者购买意愿的影响[J].技术经济(3):54-59.
[13] 潘煜,张星,高丽,2010.网络零售中影响消费者购买意愿因素研究——基于信任与感知风险的分析[J].中国工业经济(7):115-124.
[14] 任小静,李琪,2019.“负面偏见”对平台认证型评论感知有用性的影响[J].中国管理科学(9):149-159.
[15] 史达,王乐乐,衣博文,2020.在线评论有用性的深度数据挖掘——基于TripAdvisor的酒店评论数据[J].南开管理评论(5):64-75.
[16] 石文华,张绮,蔡嘉龙,2018.在线评论矛盾性对消费者矛盾态度和购买意愿的影响研究[J].管理评论(7):77-88.
[17] 唐晓波,兰玉婷,2016.基于特征本体的微博产品评论情感分析[J].图书情报工作(16):121-127.
[18] 陶晓波,2013.C2C网络零售环境下负面评价信息的反馈策略研究[J].北京工商大学学报(社会科学版)(1):70-74.
[19] 王亚妮,王君,姚唐,等,2021.什么样的评论更有用?基于ELM的“Meta分析”[J].管理评论(5):246-256.
[20] 王阳,王伟军,刘智宇,2018.在线负面评论信息对潜在消费者购买意愿影响研究[J].情报科学(10):156-163.
[21] 吴继飞,于洪彦,刘容,2019.触摸屏幕,还是点击鼠标?——人机互动对游客愉悦体验的影响[J].旅游学刊(1):34-43.
[22] 徐兵,张阳,2020.基于好评返现和差评偏好的体验型产品两阶段定价决策研究[J].管理工程学报(2):21-29.
[23] 徐琳宏,林鸿飞,潘宇,等,2008 .情感词汇本体的构造[J].情报学报(2):180-185.
[24] 张彬,徐建民,吴树芳,2020.基于多源用户标签的跨域兴趣融合模型研究[J].情报科学(4):147-152;162.
[25] 张军,赵梦雅,时朋飞,2018.什么样的好评让你更心动?多维度网络评论效价与出游意向影响研究[J].旅游科学(4):47-59;84.
[26] 张艳辉,李宗伟,赵诣成,2017.基于淘宝网评论数据的信息质量对在线评论有用性的影响[J].管理学报(1):77-85.
[27] 郑春东,韩晴,王寒,2015.网络水军言论如何左右你的购买意愿[J].南开管理评论(1):89-97.
[28] 郑丽娟,王洪伟,郭恺强,2014.基于情感词模糊统计的网络评论情感强度的研究[J].系统管理学报(3):324-330.
[29] 钟毅平,范伟,蔡荣华,等,2014.正性情绪诱导下的自我参照加工:来自ERPs的证据[J].心理学报(3):341-352.
[30] AI J,CHI O H,OUYANG Z,2019.Categorizing peer-to-peer review site features and examining their impacts on room sales[J].Journal of hospitality marketing & management,28(7):862-881.
[31] AKAIKE H,1973.Information Theory and Extension of the Maximum Likelihood Principle[C]//2nd International Symposion on Information Theory:267-281.
[32] ARIFFIN S K,MOHAN T,GOH Y,2018.Influence of consumers’ perceived risk on consumers’ online purchase intention[J].Journal of research in interactive marketing,12(3):309-327.
[33] BANERJEE S,CHUA A Y,2019.Trust in online hotel reviews across review polarity and hotel category[J].Computers in human behavior,90(3):265-275.
[34] BAUER R A,1960.Consumer behavior as risk taking[C]//Proceedings of the 43rd National Conference of the American Marketing Association:389-398.
[35] BERGER C R,CALABRESE R J,1974.Some explorations in initial interaction and beyond:toward a developmental theory of interpersonal communication[J].Human communication research,1(2):99-112.
[36] BETTMAN J R,1973.Perceived risk and its components: a model and empirical test[J].Journal of marketing research,10(2):184-190.
[37] CHATTERJEE P,2001.Online reviews:do consumers use them?[J].Advances in consumer research,28(1):129-133.
[38] CHATTERJEE S,2020.Drivers of helpfulness of online hotel reviews:a sentiment and emotion mining approach[J].International journal of hospitality management,85(2):102356.
[39] CHEN Y,XIE J,2008.Online consumer review:word-of-mouth as a new element of marketing communication mix[J].Management science,54(3):477-491.
[40] CHEN Z,LURIE N H,2013.Temporal contiguity and negativity bias in the impact of online word of mouth[J].Journal of marketing research,50(4):463-476.
[41] DAI B,FORSYTHE S,KWON W,2014.The impact of online shopping experience on risk perceptions and online purchase intentions:does product category matter?[J].Journal of electronic commerce research,15(1):13-24.
[42] DE PELSMACKER P,DENS N,KOLOMIIETS A,2018.The impact of text valence,star rating and rated usefulness in online reviews[J].International journal of advertising,37(3):340-359.
[43] FILIERI R,RAGUSEO E,VITARI C,2021.Extremely negative ratings and online consumer review helpfulness: the moderating role of product quality signals[J].Journal of travel research,60(4):699-717.
[44] FISKE S T,1980.Attention and weight in person perception:the impact of negative and extreme behavior[J].Journal of personality and social psychology,38(6):889.
[45] FORMAN C,GHOSE A,WIESENFELD B,2008.Examining the relationship between reviews and sales:the role of reviewer identity disclosure in electronic markets[J].Information systems research,19(3):291-313.
[46] HAYES A,2013.Introduction to mediation,moderation,and conditional process analysis[J].Journal of educational measurement,51(3):335-337.
[47] HAYES A F,2015.An index and test of linear moderated mediation[J].Multivariate behavioral research,50(1):1-22.
[48] HONG S,PITTMAN M,2020.eWOM anatomy of online product reviews:interaction effects of review number,valence,and star ratings on perceived credibility[J].International journal of advertising,39(7):892-920.
[49] HU X,YANG Y,2021.What makes online reviews helpful in tourism and hospitality?A bare-bones meta-analysis[J].Journal of hospitality marketing & management,30(2):139-158.
[50] ISMAGILOVA E,DWIVEDI Y K,SLADE E,2020.Perceived helpfulness of eWOM:emotions,fairness and rationality[J].Journal of retailing and consumer services:53.
[51] ISMAGILOVA E,SLADE E L,RANA N P,et al.,2019.The effect of electronic word of mouth communications on intention to buy:a meta-analysis[J].Information systems frontiers,34(2):1-24.
[52] KRISHNA A,DANGAYACH G,SHARMA S,2014.Service recovery paradox:the success parameters[J].Global business review,15(2):263-277.
[53] LI H,LIU H,ZHANG Z,2020.Online persuasion of review emotional intensity:a text mining analysis of restaurant reviews[J].International journal of hospitality management,89(2):102558.
[54] LIANG S,SCHUCKERT M,LAW R,2019.How to improve the stated helpfulness of hotel reviews?A multilevel approach[J].International journal of contemporary hospitality management,31(2):953-977.
[55] LIU Z,PARK S,2015.What makes a useful online review?Implication for travel product websites[J].Tourism management,47(4):140-151.
[56] LUO L,DUAN S,SHANG S,et al.,2021.What makes a helpful online review?Empirical evidence on the effects of review and reviewer characteristics[J].Online information review,45(3):614-632.
[57] MIZERSKI R W,1982.An attribution explanation of the disproportionate influence of unfavorable information[J].Journal of consumer research,9(3):301-310.
[58] MUDAMBI S M,SCHUFF D,2010.Research note:what makes a helpful online review?A study of customer reviews on Amazon.com[J].MIS quarterly,34(1):185-200.
[59] MURITALA B,SANCHEZ-REBULL M,HERNANDEZ-LARA A,2020.A bibliometric analysis of online reviews research in tourism and hospitality[J].Sustainability,12(23):9977.
[60] O’BRIEN R M,2007.A caution regarding rules of thumb for variance inflation factors[J].Quality & quantity,41(5):673-690.
[61] PAN Y,ZHANG J Q,2011.Born unequal: a study of the helpfulness of user-generated product reviews[J].Journal of retailing,87(4):598-612.
[62] PARK C,LEE T M,2009.Antecedents of online reviews’ usage and purchase influence:an empirical comparison of US and Korean consumers[J].Journal of interactive marketing,23(4):332-340.
[63] PHILLIPS P,BARNES S,ZIGAN K,et al.,2017.Understanding the impact of online reviews on hotel performance:an empirical analysis[J].Journal of travel research,56(2):235-249.
[64] PODSAKOFF P M,PODSAKOFF N P,2019.Experimental designs in management and leadership research:strengths,limitations,and recommendations for improving publish ability[J].The leadership quarterly,30(1):11-33.
[65] PURNAWIRAWAN N,DE PELSMACKER P,DENS N,2012.Balance and sequence in online reviews:how perceived usefulness affects attitudes and intentions[J].Journal of interactive marketing,26(4): 244-255.
[66] PURNAWIRAWAN N,EISEND M,DE PELSMACKER P,et al.,2015.A meta-analytic investigation of the role of valence in online reviews[J].Journal of interactive marketing,31(1):17-27.
[67] SCHWARZ G,1978.Estimating the dimension of a model[J].Annals of statistics,6(2):461-464.
[68] SRIVASTAVA V,KALRO A D,2019.Enhancing the helpfulness of online consumer reviews:the role of latent (content) factors[J].Journal of interactive marketing,48(1):33-50.
[69] TVERSKY A,KAHNEMAN D,1992.Advances in prospect theory:cumulative representation of uncertainty[J].Journal of risk and uncertainty,5(4):297-323.
[70] WANG Y,GU J,WANG S,et al.,2019.Understanding consumers’ willingness to use ride-sharing services:the roles of perceived value and perceived risk[J].Transportation research part c:emerging technologies,105(3):504-519.
[71] WATSON D,TELLEGEN A,1985.Toward a consensual structure of mood[J].Psychological bulletin,98(2):219.
[72] YANG C,WU L,TAN K,et al.,2021.Online user review analysis for product evaluation and improvement[J].Journal of theoretical and applied electronic commerce research,16(5):1598-1611.
[73] YANG J,SARATHY R,LEE J,2016.The effect of product review balance and volume on online shoppers’ risk perception and purchase intention[J].Decision support systems,89(2):66-76.