Please wait a minute...
Data Analysis and Knowledge Discovery  2018, Vol. 2 Issue (11): 46-53    DOI: 10.11925/infotech.2096-3467.2018.0836
Current Issue | Archive | Adv Search |
Impacts of Landlords on Tenants of Short-term Rentals
Liang Xiaobei, Xu Zhen(), Li Jingjing
School of Economics and Management, Tongji University, Shanghai 200092, China
Download: PDF (517 KB)   HTML ( 3
Export: BibTeX | EndNote (RIS)      
Abstract  

[Objective] This study explores the influences of room owners on their tenants’ Electronic Word of Mouth(eWOM). [Methods] First, we retrieved data from Airbnb with the help of a Web crawler. Then, we proposed a Poisson Regression model based on the signal theory. Finally, we studied the impacts of room owners’ service on consumers’ eWOM. [Results] The eWOM of the available rooms was positively correlated with features introduction, after-sales interaction, instant reservation, calendar update, response time, high-quality service and identity certification. [Limitations] More samples from regions outside of Beijing should be included. [Conclusions] The proposed model could improve the service of short-term rentals.

Key wordsSharing Short-term Rental Platform      Host Attributes      eWOM     
Received: 26 July 2018      Published: 11 December 2018
ZTFLH:  G203  

Cite this article:

Liang Xiaobei,Xu Zhen,Li Jingjing. Impacts of Landlords on Tenants of Short-term Rentals. Data Analysis and Knowledge Discovery, 2018, 2(11): 46-53.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2018.0836     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2018/V2/I11/46

变量类型 变量名 变量符号 变量描述
因变量 总评论数 reNum 短租客户对列表房源的总评论数量
半年评论数 halfNum 短租客户对列表房源的近半年的评论数量
客户需求 特色介绍 space 商家是否介绍列表房源周边的特色情况(0表示没有特色介绍, 1表示有特色介绍)
售后互动 Inter 商家是否承诺客户入住后含有售后服务(0表示商家没有承诺, 1表示有承诺)
服务响应 即时预订 insBook 是否需要获得商家的批准才能预订房源(0表示需要获得批准, 1表示不需要获得)
日历更新 calender 商家最近一次更新可订房间日历的时间
回复时间 resTime 商家平均回复客户咨询的时间
安全保证 身份认证 identity 商家是否经过平台的各项身份认证(0表示未经过身份认证, 1表示已经过认证)
优质商家 SuperHost 商家是否是平台认证的优质商家(0表示不是优质商家, 1表示是优质商家)
控制变量 房源地点 location 列表房源的所在位置(0表示房源在郊区, 1表示在市区)
房源价格 price 列表房源的房间价格
房源数量 listNum 商家拥有的所有列表房源数量
商家年限 member 商家的注册年限
变量类型 变量名 平均值 标准差 最小值 最大值
因变量 reNum 12.05 19.80 1 250
halfNum 3.42 4.82 0 45
自变量 space 0.76 0.43 0 1
Inter 0.65 0.48 0 1
insBook 0.58 0.49 0 1
calender 3.29 1.28 1 5
resTime 3.75 0.64 1 4
identity 0.46 0.50 0 1
SuperHost 0.25 0.43 0 1
控制变量 location 0.84 0.37 0 1
price 462.34 572.30 64 10 000
listNum 10.61 24.33 1 224
member 2.02 1.24 0 8
主模型
因变量: 总评论数
稳健性检验
因变量: 半年的评论数
系数 标准误 P值 系数 标准误 P值
space .482 .011 0.000 .222 .019 0.000
Inter .181 .009 0.000 .231 .016 0.000
insBook .171 .007 0.000 .419 .013 0.000
calender .116 .003 0.000 .164 .005 0.000
resTime .183 .007 0.000 .543 .018 0.000
identity .389 .007 0.000 -.010 .012 0.459
SuperHost .521 .006 0.000 .698 .012 0.000
location .675 .012 0.000 .629 .021 0.000
Log(price) -.064 .005 0.000 -.122 .009 0.000
Log(listNum) -.106 .003 0.000 -.162 .005 0.000
member .227 .002 0.000 .024 .005 0.000
_cons -.208 .038 0.000 -.214 .083 0.000
Obj. 8 867 8 867 8 867 8 867 8 867 8 867
Mean VIF 1.24 1.24
LR chi2(11) 50128.28(p=0.000) 13090.64(p=0.000)
Log like -74920.90 -25885.049
假设 结果
H1a: 商家的特色介绍属性对eWOM有显著的正向影响。 支持
H1b: 商家的售后互动属性对eWOM有显著的正向影响。 支持
H2a: 商家的即时预订属性对eWOM有显著的正向影响。 支持
H2b: 商家的日历更新属性对eWOM有显著的正向影响。 支持
H2c: 商家的回复时间属性对eWOM有显著的正向影响。 支持
H3a: 商家的身份认证属性对eWOM有显著的正向影响。 支持
H3b: 商家的优质商家属性对eWOM有显著的正向影响。 支持
[1] 陈远, 刘福珍, 吴江. 基于二模复杂网络的共享经济平台用户交互行为研究[J]. 数据分析与知识发现, 2017, 1(6): 72-82.
[1] (Chen Yuan, Liu Fuzhen, Wu Jiang.Studying Users’ Interaction Behaviors of Sharing Economic Platform with 2-Mode Complex Network Analysis[J]. Data Analysis and Knowledge Discovery, 2017, 1(6): 72-82.)
[2] Guttentag D, Smith S, Potwarka L, et al.Why Tourists Choose Airbnb: A Motivation-Based Segmentation Study[J]. Journal of Travel Research, 2017, 57(3): 342-359.
[3] 卢向华, 冯越. 网络口碑的价值——基于在线餐馆点评的实证研究[J]. 管理世界, 2009(7): 126-132.
[3] (Lu Xianghua, Feng Yue.The Value of Electronic Word-of-Mouth: An Empirical Study Based on Online Restaurant Reviews[J]. Management World, 2009(7): 126-132.)
[4] Mauria A G, Minazzib R, Nieto-García M, et al.Humanize Your Business. The Role of Personal Reputation in the Sharing Economy[J]. International Journal of Hospitality Management, 2018, 73: 36-43.
doi: 10.1016/j.ijhm.2018.01.017
[5] Chevalier J A, Mayzlin D.The Effect of Word of Mouth on Sales: Online Book Reviews[J]. Journal of Marketing Research, 2006, 43(3): 345-354.
doi: 10.1509/jmkr.43.3.345
[6] Goldsmith R E,Horowitz D.Measuring Motivations for Online Opinion Seeking[J]. Journal of Interactive Advertising, 2006, 6(2): 2-14.
doi: 10.1080/15252019.2006.10722114
[7] Lee M, Youn S.Electronic Word of Mouth (eWOM): How eWOM Platforms Influence Consumer Product Judgement[J]. International Journal of Advertising, 2009, 28(3): 473-499.
doi: 10.2501/S0265048709200709
[8] Xie K L, Zhang Z, Singh A, et al.Effects of Managerial Response on Consumer eWOM and Hotel Performance: Evidence from TripAdvisor[J]. International Journal of Contemporary Hospitality Management, 2016, 28(9): 2013-2034.
doi: 10.1108/IJCHM-06-2015-0290
[9] Viglia G, Furlan R, Ladrón-De-Guevara A. Please, Talk About It! When Hotel Popularity Boosts Preferences[J]. International Journal of Hospitality Management, 2014, 42: 155-164.
doi: 10.1016/j.ijhm.2014.07.001
[10] Stauss B.Global Word of Mouth: Service Bashing on the Internet is a Thorny Issue[J]. Marketing Management, 1997, 6(3): 28-30.
[11] 左文明, 陈华琼, 张镇鹏. 基于网络口碑的B2C电子商务服务质量管理[J]. 管理评论, 2018,30(2):94-106.
[11] (Zuo Wenming, Chen Huaqiong, Zhang Zhenpeng.Application of Electronic Word-of-Mouth to Service Quality Management of B2C Electronic Commerce[J]. Management Review, 2018, 30(2): 94-106.)
[12] 余航, 王战平. 网络口碑影响的研究综述[J]. 情报杂志, 2013, 32(6): 100-106.
[12] (Yu Hang, Wang Zhanping.Research on the Effects of Online Word-of-Mouth Communication[J]. Journal of Intelligence, 2013, 32(6): 100-106.)
[13] Bae S J, Lee H, Suh E K, et al.Shared Experience in Pretrip and Experience Sharing in Posttrip: A Survey of Airbnb Users[J]. Information & Management, 2017, 54(6): 714-727.
doi: 10.1016/j.im.2016.12.008
[14] Xie K L, Zhang Z, Zhang Z.The Business Value of Online Consumer Reviews and Management Response to Hotel Performance[J]. International Journal of Hospitality Management, 2014, 43: 1-12.
doi: 10.1016/j.ijhm.2014.07.007
[15] Wolfinbarger M, Gilly M C. eTailQ: Dimensionalizing, Measuring and Predicting Etail Quality[J]. Journal of Retailing, 2003, 79(3): 183-198.
doi: 10.1016/S0022-4359(03)00034-4
[16] Fassnacht M, Koese I.Quality of Electronic Services Conceptualizing and Testing a Hierarchical Model[J]. Journal of Service Research, 2006, 9(1): 19-37.
doi: 10.1177/1094670506289531
[17] Johnson M D.Consumer Choice Strategies for Comparing Noncomparable Alternatives[J]. Journal of Consumer Research, 1984, 11(3): 741-753.
doi: 10.1086/jcr.1984.11.issue-3
[18] Anderson E W, Fornell C, Rust R T. Customer Satisfaction, Productivity, and Profitability: Differences Between Goods and Services[J]. Marketing Science, 1997, 16(2): 129-145.
doi: 10.1287/mksc.16.2.129
[19] Blut M, Chowdhry N, Mittal V, et al.E-Service Quality: A Meta-Analytic Review[J]. Journal of Retailing, 2015, 91(4): 679-700.
doi: 10.1016/j.jretai.2015.05.004
[20] Rice M.What Makes Users Revisit a Web Site?[J]. Marketing News, 1997, 31(6): 12-13.
[21] Gummerus J, Liljander V, Pura M, et al.Customer Loyalty to Content-based Web Sites: The Case of an Online Health-care Service[J]. Journal of Services Marketing, 2004, 18(3): 175-186.
doi: 10.1108/08876040410536486
[22] Tsai H T, Huang H C.Online Consumer Loyalty: Why E-tailers Should Seek a High-profile Leadership Position[J]. Computers in Human Behavior, 2009, 25(6): 1231-1240.
doi: 10.1016/j.chb.2009.05.008
[23] Xie K, Mao Z.The Impacts of Quality and Quantity Attributes of Airbnb Hosts on Listing Performance[J]. International Journal of Contemporary Hospitality Management, 2017, 29(3): 2240-2260.
doi: 10.1108/IJCHM-07-2016-0345
[24] Spence M.Job Market Signaling[J]. The Quarterly Journal of Economics, 1973, 87(3): 355-374.
doi: 10.2307/1882010
[25] Ert E, Fleischer A, Magen N.Trust and Reputation in the Sharing Economy: The Role of Personal Photos in Airbnb[J]. Tourism Management, 2016, 55: 62-73.
doi: 10.1016/j.tourman.2016.01.013
[26] 吴江, 靳萌萌. 在线短租房源图片对消费者行为意愿的影响[J]. 数据分析与知识发现, 2017, 1(12): 10-20.
[26] (Wu Jiang, Jin Mengmeng.Online Room Listing Photos Affect Consumer’s Intentions[J]. Data Analysis and Knowledge Discovery, 2017, 1(12): 10-20.)
[27] Zervas G, Proserpio D, Byers J. A First Look at Online Reputation on Airbnb, Where Every Stay is above Average [J/OL]. [2015-02-26]. .
[28] Blut M.E-Service Quality: Development of a Hierarchical Model[J]. Journal of Retailing, 2016, 92(4): 500-517.
doi: 10.1016/j.jretai.2016.09.002
[29] 贺佳雯. 2015, 中国“共享经济”元年[J]. 中国经济信息,2015(24): 32-35.
[29] (He Jiawen.2015, The First Year of Chinese “Sharing Economy”[J]. China Economic Information, 2015(24): 32-35.)
[30] Long J S.Regression Models for Categorical Dependent Variables Using Stata[M]. The 3rd Edition. CA, US: Sage Publications, 2014: 80-81.
[31] Dean C, Lawless J F.Tests for Detecting Over Dispersion in Poisson Regression Models[J]. Journal of the American Statistical Association, 1989, 84(406): 467-472.
doi: 10.1080/01621459.1989.10478792
[1] Chi Maomao, Pan Meiyu, Wang Weijun. Research on the Impact of Clue Consistency on Purchasing Decisions of Peer-to-Peer Accommodation Platform: Interaction between Text and Image Clues [J]. 数据分析与知识发现, 0, (): 1-.
[2] Xuhui Li,Tao Yu,Ting Li,Yiwen Li,Jinguang Gu. An Evolutionary Schema for Metadata Description[J]. 数据分析与知识发现, 2020, 4(1): 76-88.
[3] Gang Li,Sijing Chen,Jin Mao,Yansong Gu. Spatio-Temporal Comparison of Microblog Trending Topics on Natural Disasters[J]. 数据分析与知识发现, 2019, 3(11): 1-15.
[4] Zhang Liyi,Li Huiran. Studying Social Interaction of Online Medical Question-Answering Service[J]. 数据分析与知识发现, 2018, 2(1): 76-87.
[5] Wu Jiang,Jin Mengmeng. Online Room Listing Photos Affect Consumer’s Intentions[J]. 数据分析与知识发现, 2017, 1(12): 10-20.
[6] Yue Zijing,Zhang Chengzhi,Zhou Qingqing. Studying Dietary Preferences of Chinese Residents[J]. 数据分析与知识发现, 2017, 1(11): 84-93.
[7] Wu Jiang,Liu Wanwan. Identifying Reviews with More Positive Votes——Case Study of Amazon.cn[J]. 数据分析与知识发现, 2017, 1(9): 16-27.
[8] Weng Danyu,Zhai Jun,Yuan Changfeng,Lin Yan. Interface Services and Applications of Open Data Platform[J]. 数据分析与知识发现, 2017, 1(8): 92-99.
[9] Tian Shihai,Lyu Deli. An Early Warning Algorithm for Public Opinion of Safety Emergency[J]. 数据分析与知识发现, 2017, 1(2): 11-18.
[10] Zhang Yingyi, Zhang Chengzhi, Chi Xuehua, Li Lei. Difference Research on Keywords Tagging Behavior for Academic User Blog——A Case Study of ScienceNet.cn[J]. 现代图书情报技术, 2015, 31(10): 13-21.
[11] Zhai Shanshan, Xu Xin, Xia Lixin. A Review of User Communication and Knowledge Dissemination in Academic Blogs[J]. 现代图书情报技术, 2015, 31(7-8): 3-12.
[12] Xu Xin, Zhai Shanshan, Yao Zhanlei. Disciplinary Interaction Analysis of Academic Blogs——Taking ScienceNet.cn Blog as an Example[J]. 现代图书情报技术, 2015, 31(7-8): 13-23.
[13] Tan Min, Xu Xin, Zhao Xing . Exploring the Co-recommendation Relationship and Its Core Structure Features of Academic Blogs——Taking ScienceNet.cn Blog as an Example[J]. 现代图书情报技术, 2015, 31(7-8): 24-30.
[14] Tan Min, Xu Xin. The Empirical Study of h-Degree in Recommendation Network of Academic Blogs——Taking ScienceNet.cn Blogs as an Example[J]. 现代图书情报技术, 2015, 31(7-8): 31-36.
[15] Tang Xiaobo, Qiu Xin. Research on Subject-Oriented High Quality Reviews Mining Model[J]. 现代图书情报技术, 2015, 31(7-8): 104-112.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn