1. bookVolume 8 (2023): Edition 1 (January 2023)
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Research on behavioural differences in the processing of tenant listing information: An eye-movement experiment

Publié en ligne: 25 May 2022
Volume & Edition: Volume 8 (2023) - Edition 1 (January 2023)
Pages: 2133 - 2146
Reçu: 31 Aug 2021
Accepté: 27 Nov 2021
Détails du magazine
License
Format
Magazine
eISSN
2444-8656
Première parution
01 Jan 2016
Périodicité
2 fois par an
Langues
Anglais

Fig. 1

Comment form differences in eye movement indicators. (a) the mean Fixation duration, (b) the mean Fixation counts. (c) the mean Regression duration
Comment form differences in eye movement indicators. (a) the mean Fixation duration, (b) the mean Fixation counts. (c) the mean Regression duration

Fig. 2

Gender differences in eye movement indicators under subjective review. (a) The influence of gender on the mean Fixation duration. (b) The influence of gender on the mean Regression duration
Gender differences in eye movement indicators under subjective review. (a) The influence of gender on the mean Fixation duration. (b) The influence of gender on the mean Regression duration

Fig. 3

Gender differences in eye movement indicators under objective review. (a) The influence of gender on the mean Fixation duration. (b) The influence of gender on the mean Regression duration
Gender differences in eye movement indicators under objective review. (a) The influence of gender on the mean Fixation duration. (b) The influence of gender on the mean Regression duration

Davis, A. J., & Khazanchi, D. (2008). An empirical study of online word of mouth as a predictor for multi-product category e-commerce sales. ELECTRONIC MARKETS, 18(2), 130-141. Search in Google Scholar

Duan, W., Gu, B., Andrew, B., & Whinston. (2008). Do online reviews matter?-an empirical investigation of panel data. DECISION SUPPORT SYSTEMS, 45(4), 1007-1016. Search in Google Scholar

Wu, P., & Yan, Q. (2015). Research on the influence of online comments on the adoption of electronic word-of-mouth in social networks. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS (SOCIAL SCIENCE EDITION), 17(01), 52-61. Search in Google Scholar

Guo, Y. (2018). Analysis of the main problems and countermeasures facing the development of the rental market. YANGTZE RIVER FORUM, (03), 42-45. Search in Google Scholar

Xu, X. (2019). Research on the existing problems and countermeasures of internet rental housing. BOHAI RIM ECONOMIC OUTLOOK, (02), 47. Search in Google Scholar

Xuan, W., & Zhang J. (2012). The status quo, problems and countermeasures of beijing’s housing rental market: empirical evidence based on online survey of tenants. RESIDENTIAL DISTRICT, (02), 109-114. Search in Google Scholar

Just, M. A., & Carpenter, P. A. (1980). A theory of reading: from eye fixations to comprehension. PSYCHOLOGICAL REVIEW, 87(4), 329-354. Search in Google Scholar

Han, Y. (2000). The development process of eye-tracking and eye tracking experiments. PSYCHOLOGICAL SCIENCE, (04), 454-457. Search in Google Scholar

Maslowska, E., Segijn, C. M., Vakeel, K. A., & Viswanathan, V. (2020). How consumers attend to online reviews: an eye-tracking and network analysis approach. INTERNATIONAL JOURNAL OF ADVERTISING, 39(2), 282-306. Search in Google Scholar

Tang, X., & Song, Z. (2020a). Eye-tracking research on perceived usefulness of online review from regulatory focus perspective. PSYCHOLOGICAL SCIENCE, 43(1), 46-52. Search in Google Scholar

Diao, Y., He, Y., Wang, N., & Wang, Z. (2017). The impact of product types on consumer review perception: based on eye movement experiments. MANAGEMENT SCIENCE, 30(05), 3-16. Search in Google Scholar

Wang, C., & Gao, H. (2018). Research on the influencing factors of the perception of the usefulness of online reviews with additional: based on eye movement experiment. MODERN INTELLIGENCE, 38(12), 70-77. Search in Google Scholar

Wu, Y. (2020). Research on the impact of online reviews of tourist destinations on tourists’ perception of usefulness: based on eye movement experiments. TOURISM RESEARCH, 12(06), 68-81. Search in Google Scholar

Bigne, E., Chatzipanagiotou, K., & Ruiz, C. (2020). Pictorial content, sequence of conflicting online reviews and consumer decision-making: the stimulus-organism-response model revisited. JOURNAL OF BUSINESS RESEARCH, 115, 403-416. Search in Google Scholar

Luan, J., Yao, Z., Zhao, F., & Liu, H. (2016). Search product and experience product online reviews: an eye-tracking study on consumers’ review search behavior. COMPUTERS IN HUMAN BEHAVIOR, 65, 420-430. Search in Google Scholar

Wang, Z., Li, H., Ye, Q., & Law, R. (2016a). Saliency effects of online reviews embedded in the description on sales: moderating role of reputation. DECISION SUPPORT SYSTEMS, 87. Search in Google Scholar

Wang, Z., Li, H., & Sun, R. (2016b). Research on the influencing factors of online review usefulness voting: based on the moderating effect of product type. MANAGEMENT REVIEW, 28(07), 143-153. Search in Google Scholar

Song, Z., & Tang, X. (2020a). How do online reviews influence consumers’ purchasing intentions. MATHEMATICAL PRACTICE AND UNDERSTANDING, 50(7), 82-89. Search in Google Scholar

Tang, X. (2020). The influence of online reviews on consumers’ purchase intentions: an analysis based on eye movement experiments. ENTERPRISE ECONOMICS, (02), 92-98. Search in Google Scholar

Zhao, Y., Lin, J., & Liu, Y. (2020). Study on the visual evaluation of tourist attractions based on eye movement experiments: a case study of tangjia ancient town in zhuhai city. HUMAN GEOGRAPHY, 35(05), 130-140. Search in Google Scholar

Zheng, D., Jiang, Y., & Zhang, W. (2013). The effect of task orientation and content on the eye movements of online tourism banner advertisement audiences. JOURNAL OF SOUTHWEST JIAOTONG UNIVERSITY (SOCIAL SCIENCE EDITION), 14(06), 65-69. Search in Google Scholar

Yuan, X., Pei, W., Wu, W., Lin, X., & Du, Y. (2019). Consumer needs for hotel online booking decision: based on eye tracking experiments. RESOURCE DEVELOPMENT AND MARKETING, 35(11), 1438-1443. Search in Google Scholar

Sun, C., Dou, K., & Zhang, Y. (2015). Research on the influence of eye tracking technology-based recommended tags and location on audience gaze. MODERN ELECTRONIC TECHNOLOGY, 38(11), 137-139. Search in Google Scholar

Wang, C., Chen, X., Zhu, W., Fu, W., & Jin, J. (2020). Eye movement research on the impact of image reviews and text-only reviews on consumers’ perception of usefulness. INTELLIGENCE THEORY AND PRACTICE, 43(06), 135-141. Search in Google Scholar

Ehmke, C., & Wilson, S. (2007). Identifying web usability problems from eye-tracking data. In British HCI Conference (pp. 03-09). Search in Google Scholar

Yan, G., Xiong, J., Zang, C., Yu, L., Cui, L., & Bai, X. (2013). A review of major eye movement indicators in reading research. ADVANCES IN PSYCHOLOGICAL SCIENCE, 21(04), 589-605. Search in Google Scholar

Du, X. M., Ding, J. Y., Xie, Z. H., & Lie, L. F. (2016). Research on the influence of online reviews on consumers’ purchase intention. MANAGEMENT REVIEW, 28(03), 173-183. Search in Google Scholar

Sun, D., & Xu, X. (2012). Research on the dissemination mechanism of online customer reviews based on agent simulation. OPERATIONS RESEARCH AND MANAGEMENT, 2(22), 154-161. Search in Google Scholar

Zhang, S. (2020). Research on the influence of online reviews on consumers’ purchase intention, [Master, HENAN UNIVERSITY OF ECONOMICS AND LAW]. Search in Google Scholar

Laczniak, R. N., & Ramaswami, D. C. N. (2001). Consumers’ responses to negative word-of-mouth communication: an attribution theory perspective. JOURNAL OF CONSUMER PSYCHOLOGY, 11(1), 57-73. Search in Google Scholar

Aitken, R., Gray, B., & Lawson, R. (2008). Advertising effectiveness from a consumer perspective. INTERNATIONAL JOURNAL OF ADVERTISING, 27(2), 279-297. Search in Google Scholar

Zhu, F., & Zhang, X. (2010). Impact of online consumer reviews on sales: the moderating role of product and consumer characteristics. JOURNAL OF MARKETING, 74(2), 133-148. Search in Google Scholar

Shao, H. (2020). Research on the impact of online comment type perception on consumers’ purchase intentions. [Master, ZHEJIANG UNIVERSITY OF TECHNOLOGY]. Search in Google Scholar

Hovland, C. I., Janis, I. L., & Kelley, H. H. (1953). Communication and persuasion. New Haven: Yale University Press. Search in Google Scholar

Hao, Y. (2010). An empirical study on the impact of online reviews on consumer perception and purchase behavior. [Ph.D., HARBIN INSTITUTE OF TECHNOLOGY]. Search in Google Scholar

Zhuo, S., & Feng, Y. (2015). An empirical study on the influencing factors of the usefulness of online reviews-based on tripadvisor.com hotel review data. MODERN INTELLIGENCE, 35(04), 52-56. Search in Google Scholar

Mccloskey, D. W. (2008). The importance of ease of use, usefulness, and trust to online consumers: an examination of the technology acceptance model with older customers. JOURNAL OF ORGANIZATIONAL & END USER COMPUTING, 18(3), 47-65. Search in Google Scholar

Schlosser, A. E. (2005). Source perceptions and the persuasiveness of internet word-of-mouth communication. ADVANCES IN CONSUMER RESEARCH ASSOCIATION FOR CONSUMER RESEARCH, 32, 202-203. Search in Google Scholar

Xiang, Q., & Yang, X. (2020). Analysis of the impact of online evaluation on online retail business performance: based on the reconciliation effect of comment length. BUSINESS ECONOMICS RESEARCH, (24), 75-78. Search in Google Scholar

Zhang, Y., Li, Z., & Zhao, Y. (2017). The impact of information quality based on taobao review data on the usefulness of online reviews. JOURNAL OF MANAGEMENT, 14(01), 77-85. Search in Google Scholar

Yin, G. (2012). What kind of online reviews do consumers think is more useful?: the influence of social factors. MANAGEMENT WORLD, (12), 115-124. Search in Google Scholar

Cheung, C. M. K., Lee, M. K. O., & Rabjohn, N. (2008). The impact of electronic word-of-mouth – the adoption of online opinions in online customer communities. INTERNET RESEARCH, 18(3), 229-247. Search in Google Scholar

Hao, Y., Ye, Q., & Li, Y. (2010). Research on online impact factors of customer reviews usefulness based on movie reviews data. JOURNAL OF MANAGEMENT SCIENCE, 13(8), 78-88, 96. Search in Google Scholar

Dun, L., Xiong, Y., Yang, S., Ye C., & Zhang, R. (2019). The impact of product types and expressions based on eye-tracking technology on purchasing decisions. PACKAGING ENGINEERING, 40(18), 214-219. Search in Google Scholar

Man, Y. C., Luo, C., & Chen, S. H. (2009). Credibility of electronic word-of-mouth: informational and normative determinants of on-line consumer recommendations. INTERNATIONAL JOURNAL OF ELECTRONIC COMMERCE, 13(4), 9-38. Search in Google Scholar

Garbarino, E., & Strahilevitz, M. (2004). Gender differences in the perceived risk of buying online and the effects of receiving a site recommendation. JOURNAL OF BUSINESS RESEARCH, 57(7), 768-775. Search in Google Scholar

Wang, T., Wang, K., & Chen, H. (2015). When can time interval improve the perception of usefulness of online reviews based on the perspective of attribution theory. BUSINESS ECONOMICS AND MANAGEMENT, 02, 46-56. Search in Google Scholar

Wang, J., & Zhou, S. (2016). Research on the impact of consistency and contradictory online reviews on consumer information adoption: based on the mediation effect of perceived usefulness and self-efficacy. LIBRARY AND INFORMATION SERVICE, 60(22), 94-101. Search in Google Scholar

Duhan, D. F., Johnson, S. D., Wilcox, J. B., & Harrell, G. D. (1997). Influences on consumer use of word-of-mouth recommendation sources. JOURNAL OF THE ACADEMY OF MARKETING SCIENCE, 25(4), 283. Search in Google Scholar

Wang, P., & Dai, B. (2012). An empirical study on the influencing factors of the usefulness of consumer online reviews. STATISTICS AND DECISION, (02), 118-120. Search in Google Scholar

Huang, L., Tan, C. H., Ke, W., & Wei, K. K. (2013). Comprehension and assessment of product reviews: a review-product congruity proposition. JOURNAL OF MANAGEMENT INFORMATION SYSTEMS, 30(3), 311-343. Search in Google Scholar

Meyers-Levy, J., & Sternthal, B. (1991). Gender differences in the use of message cues and judgments. JOURNAL OF MARKETING RESEARCH, 28(1), 84-96. Search in Google Scholar

Smith, D. R. E. (1995). Gender differences in information processing strategies: an empirical test of the selectivity model in advertising response. JOURNAL OF ADVERTISING, 24(1), 41-56. Search in Google Scholar

Song, Z., Li, Y., & Shi, R. (2016). An eye-tracking experimental study on the influence of online reviews on consumers’ purchase decisions. BUSINESS RESEARCH, (10), 164-170. Search in Google Scholar

Fang, J., Wang, Y., & Zhao, Z. (2016). The moderating effect of different product brand reputations on the usefulness of online reviews. SOFT SCIENCE, 30(03), 108-112. Search in Google Scholar

Mudambi, S. M., & Schuff, D. (2010). What makes a helpful online review? a study of customer reviews on amazon.com. MIS QUARTERLY, 34(1), 185-200. Search in Google Scholar

Zhang, Y., & Li, Z. (2016). Research on the influencing factors of the usefulness of online reviews: the moderating effect based on product type. MANAGEMENT REVIEW, 28(10), 123-132. Search in Google Scholar

Li, Q., & Ren, X. (2015). Consumers’ perception of usefulness of positive online comments on different platforms. RESEARCH ON ECONOMIC ISSUES, (10), 41-47. Search in Google Scholar

Bian, Q., Qi, W., Liu, Z., & Yan, G. (2009). Review of contemporary eye movement recording technology. PSYCHOLOGICAL RESEARCH, 2(01), 34-37. Search in Google Scholar

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