
Research on the Usefulness of Online Reading Community Reviews Based on IAM-I Model
Yu Juncheng, Li Ziqi
Knowledge Management Forum ›› 2022, Vol. 7 ›› Issue (1) : 12-23.
Research on the Usefulness of Online Reading Community Reviews Based on IAM-I Model
[Purpose/Significance] Online review is an important carrier of knowledge exchange for users in reading community. In order to help the reading community improve the review system and raise the usefulness of book reviews, exploring the intermediary role of online interaction in the usefulness of book reviews will help to further tap the value of online review. [Method/Process] Based on IAM model, this paper constructed IAM-I online reading community review usefulness influencing factor model, and used OLS regression and Bootstrap mediation test to explore the effect mechanism of comment information characteristics and reviewer characteristics on review usefulness and the mediating effect of online interaction. [Result /conclusion] The results show that the characteristics of comment information and commentators can affect online interaction, online interaction plays a full mediating role in the relationship between the characteristic of text length and comment usefulness, and a partial mediating role in the relationship between the characteristics of commentators and comment usefulness. That is to say, online reading community can improve the usefulness of comments by encouraging online interaction.
review usefulness / influencing factors / online interaction / mediation / online reading community
[1] |
李桂华.阅读社区研究:阅读推广视角的社群信息学研究实践[J].图书馆论坛,2017,37(7):33-40.
|
[2] |
郝媛媛,叶强,李一军.基于影评数据的在线评论有用性影响因素研究[J].管理科学学报,2010,13(8):78-88,96.
|
[3] |
殷国鹏.消费者认为怎样的在线评论更有用?——社会性因素的影响效应[J].管理世界,2012(12):115-124.
|
[4] |
KUAN K K Y, HUI K L, PRASARNPHANICH P, et al. What makes a review voted? an empirical investigation of review voting in online review systems[J].Journal of the Association for Information Systems,2015,16(1):48-71.
|
[5] |
彭丽徽,李贺,张艳丰,等.基于品牌声誉感知差异的在线评论有用性影响因素实证研究[J].情报科学,2017,35(9):159-164.
|
[6] |
陈在飞,徐峰.电子商务中在线评论有用投票数影响因素研究[J].现代情报,2014,34(1):18-22.
|
[7] |
KARIMIA S, WANG F. Online review helpfulness: impact of reviewer profile image[J].Decision support systems,2017,96:39-48.
|
[8] |
FORMAN C, GHOSE A, WIESENFELD B. Examining the relationship between reviews and sales: the role of reviewer identity disclosure in electronic markets[J]. Information Systems Research, 2008,19(3):291-313.
|
[9] |
覃亮.影响在线评论有用性的因素研究[D].大连:大连理工大学,2017.
|
[10] |
LIU Z W, PARK S. What makes a useful online review? implication for travel product websites[J].Tourism management,2015,47:140-151.
|
[11] |
张艳辉,李宗伟.在线评论有用性的影响因素研究:基于产品类型的调节效应[J].管理评论,2016,28(10):123-132.
|
[12] |
王智生,李慧颖,孙锐.在线评论有用性投票的影响因素研究——基于商品类型的调节作用[J].管理评论,2016,28(7):143-153.
|
[13] |
SUN X Y, HAN M X, FENG J. Helpfulness of online reviews: examining review informativeness and classification thresholds by search products and experience products[EB/OL].[2020-10-11].https://www.sciencedirect.com/science/article/pii/S0167923619301289
|
[14] |
SUSSMAN S W, SIEGAL W S. Informational influence in organizations: an integrated approach to knowledge adoption[J].Information systems research,2003,14(1):47-65.
|
[15] |
齐托托, 白如玉, 王天梅. 基于信息采纳模型的知识付费行为研究——产品类型的调节效应[J].数据分析与知识发现,2021,5 (12): 60-73.
|
[16] |
ZHOU S S, GUO B. The order effect on online review helpfulness: a social influence perspective[J]. Decision support systems,2017,93:77-87.
|
[17] |
SIERING M, MUNTERMANN J, RAJAGOPALAN B. Explaining and predicting online review helpfulness: the role of content and reviewer-related signals[J]. Decision support systems,2018,108:1-12.
|
[18] |
黄卫来,潘晓波.在线商品评价信息有用性模型研究——纳入应用背景因素的信息采纳扩展模型[J].图书情报工作,2014,58(S1):141-151.
|
[19] |
殷国鹏,刘雯雯,祝珊.网络社区在线评论有用性影响模型研究——基于信息采纳与社会网络视角[J].图书情报工作,2012,56(16):140-147.
|
[20] |
张艳辉,李宗伟,赵诣成.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,2017,14(1),77-85.
|
[21] |
赵宏霞,王新海,周宝刚.B2C网络购物中在线互动及临场感与消费者信任研究[J].管理评论,2015,27(2):43-54.
|
[22] |
LIN F R, LIN S C, HUANG T P. Knowledge sharing and creation in a teachers’ professional virtual communit[J].Computers & education,2008,50(3):742-756.
|
[23] |
申文瑞.电商网站在线评论的感知有用性影响因素研究[D].太原:山西财经大学,2018.
|
[24] |
SUNDAR S S, BELLUR S,OH J, et al. User experience of on-screen interaction techniques: an experimental investigation of clicking, sliding, zooming, hovering, dragging, and flipping[J].Human-computer interaction,2014,29(2):109-152.
|
[25] |
刘洁.在线评论有用性的影响因素研究[D].北京:首都经济贸易大学,2017.
|
[26] |
HAN Y. Research on the factors influencing the usefulness of online reviews-mediating effect based on online interaction[J].Frontiers in economics and management,2021,2(3):356-365.
|
[27] |
BAEK H, AHN J H, CHOI Y. Helpfulness of online consumer reviews: readers' objectives and review cues[J].International journal of electronic commerce,2012,17(2):99-126.
|
[28] |
PETTY R E, CACIOPPO J T. The elaboration likelihood model of persuasion[J].Advances in consumer research,1986,19:123-205.
|
[29] |
WANG G, GILL K, MOHANLAL M, et al. Wisdom in the social crowd: an analysis of quora[C]// The 22nd international World Wide Web conference. Switzerland: International World Wide Web Conferences Steering Committee, 2013:1341-1352.
|
[30] |
张鹏翼.在线社交网络中信息寻求行为的实证研究:以微博为例[J].情报杂志,2013,32(7):83-87.
|
[31] |
PARK D H, LEE J. eWOM overload and its effect on consumer behavioral intention depending on consumer involvement[J].Electronic commerce research and applications,2008,7(4):386-398.
|
[32] |
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.
|
[33] |
严磊,佐斌,吴漾.情感一致性及其对认知加工的影响[J].心理科学,2016,39(6):1379-1384.
|
[34] |
张鹏翼,张璐.社会资本视角下的用户社交问答行为研究——以知乎为例[J].情报杂志,2015,34(12):186-191.
|
[35] |
CHEUNG M Y, LUO C, SIA C L, et al. Credibility of electronic word-of-mouth: informational and normative determinants of online consumer recommendations[J].International journal of electronic commerce, 2009,13(4):9-38.
|
[36] |
PRELL C L. Community networking and social capital: early investigations[J].Journal of computer mediated communication,2003,8(3):10-20.
|
[37] |
SUSARLA A, OH J H, TAN Y. Social networks and the diffusion of user-generated content: evidence from YouTube[J]. Information systems research,2012,23(1):23-41.
|
[38] |
杨倩.探索式搜索行为的认知过程与图书馆信息服务策略研究[J].情报杂志,2020,39(10):176-180,143.
|
[39] |
方杰,温忠麟,张敏强,等.基于结构方程模型的多重中介效应分析[J].心理科学,2014,37(3):735-741.
|
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