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QU Lian-zhuang, GUAN Yi, YAO Xiao-lin. Exploration on the Mechanisms of OPR Features on Consumers’ Information Adoption Decisions in E-commerce Environment[J]. Journal of University of Electronic Science and Technology of China(SOCIAL SCIENCES EDITION), 2021, 23(4): 31-37. DOI: 10.14071/j.1008-8105(2021)-5007
Citation: QU Lian-zhuang, GUAN Yi, YAO Xiao-lin. Exploration on the Mechanisms of OPR Features on Consumers’ Information Adoption Decisions in E-commerce Environment[J]. Journal of University of Electronic Science and Technology of China(SOCIAL SCIENCES EDITION), 2021, 23(4): 31-37. DOI: 10.14071/j.1008-8105(2021)-5007

Exploration on the Mechanisms of OPR Features on Consumers’ Information Adoption Decisions in E-commerce Environment

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  • Received Date: April 04, 2021
  • Available Online: April 09, 2021
  • [Purpose/Significance] Based on the information adoption model and information systems success model, this paper examines how online product review (OPR) characteristics impact online consumers’ information adoption decisions. [Design/Methodology] Experiments are conducted to collect data. PLS-SEM are used to analyze the data and verify the proposed research model. [Conclusions/Findings] The results indicate that helpfulness indicator has positive impacts on OPR diagnosticity, structured format has positive effects on ease of use, ease of use impacts OPR diagnosticity positively, and both ease of use and the diagnosticity have positive impacts on OPR adoption decisions. However, the moderating effect of cognitive need is insignificant on the relationship between helpfulness indicator and diagnosticity, and the relationship between ease of use and diagnosticity.
  • 中国互联网络信息中心第47次中国互联网络发展状况统计报告[EB/OL]. (2021-02-03). http://www.cac.gov.cn/2021-02/03/c_1613923423079314.htm.
    商务部. 中国电子商务报告[EB/OL]. (2020-07-02). http://swt.fujian.gov.cn/xxgk/swdt/swyw/gnyw/202007/t20200702_5314246.htm.
    XU X. How do consumers in the sharing economy value sharing? Evidence from online reviews[J]. Decision Support Systems, 2020, 128(1): 1-13.
    ZHANG M, WEI X, ZENG D D. A matter of reevaluation: incentivizing users to contribute reviews in online platforms[J]. Decision Support Systems, 2020, 128(1): 51-62.
    PODIUM. Podium 2017 State of online reviews[EB/OL]. [2020-11-20]. https://www.podium.com/resources/online-reviews-statistics/.
    KANE G, FICHMAN R, GALLAUGHER J, et al. Community relations 2.0[J]. Harvard Business Review, 2009, 87(11): 45-50.
    SUSSMAN S, SIEGAL W. Informational influence in organizations: an integrated approach to knowledge adoption[J]. Information Systems Research, 2003, 14(1): 19-26.
    HUSSAIN S, AHMED W, JAFAR R, et al. Ewom source credibility, perceived risk and food product customer’s information adoption[J]. Computers in Human Behavior, 2017, 66(1): 96-102.
    CHONG A, KHONG K, MA T, et al. Analyzing key influences of tourists’ acceptance of online reviews in travel decisions[J]. Internet Research, 2018, 28(3): 564-586. doi: 10.1108/IntR-05-2017-0212
    ISMAGILOVA E, SLADE E, RANA N, et al. The effect of characteristics of source credibility on consumer behaviour: a meta-analysis[J]. Journal of Retailing & Consumer Services, 2020, 53(1): 1-10.
    DELONE W, MCLEAN E. The delone and mclean model of information systems success: a ten-year update[J]. Journal of Management Information Systems, 2003, 19(4): 9-30. doi: 10.1080/07421222.2003.11045748
    CHEUNG C, LEE M AND RABJOHN N. The impact of electronic word-of-mouth: the adoption of online opinions in online consumer communities[J]. Internet Research, 2008, 18(3): 17-27.
    NELSON R, TODD P, WIXOM B. Antecedents of information and system quality: an empirical examination within the context of data warehousing[J]. Journal of Management Information Systems, 2005, 21(4): 199-235. doi: 10.1080/07421222.2005.11045823
    DOLL W, TORKZADEH G. The measurement of end-user computing satisfaction[J]. MIS Quarterly, 1988, 12(2): 259-274. doi: 10.2307/248851
    KULKARNI U, RAVINDRAN S, FREEZE R. A knowledge management success model: the oretical development and empirical validation[J]. Journal of Management Information Systems, 2007, 23(3): 309-347. doi: 10.2753/MIS0742-1222230311
    CHEN L, AKLIKOKOU A. Determinants of e-government adoption: testing the mediating effects of perceived usefulness and perceived ease of use[J]. International Journal of Public Administration, 2020, 43(10): 850-865. doi: 10.1080/01900692.2019.1660989
    THORNDIKE E. A consistent error in psychological ratings[J]. Journal of Applied Psychology, 1920, 4(1): 25-29. doi: 10.1037/h0071663
    DION K, BERSCHEID E, WALSTER E. What is beautiful is good[J]. Journal of Personality and Social Psychology, 1972, 24(3): 285-290. doi: 10.1037/h0033731
    TRACTINSKY N, KATZ A, IKAR D. What is beautiful is usable[J]. Interacting with Computers, 2000, 13(1): 127-145.
    AXSOM D, YATES S, CHAIKEN S. Audience response as a heuristic cue in persuasion[J]. Journal of Personality and Social Psychology, 1987, 53(1): 30-40. doi: 10.1037/0022-3514.53.1.30
    CHAIKEN S. The heuristic model of persuasion[M]. New Jersey: Lawrence Erlbaum, 1987.
    SHER P, LEE S. Consumer skepticism and online reviews: an elaboration likelihood model perspective[J]. Social Behavior and Personality, 2009, 37(1): 137-143. doi: 10.2224/sbp.2009.37.1.137
    PETTY R, CACIOPPO J. The elaboration likelihood model of persuasion[J]. Advances in Experimental Social Psychology, 1986, 19(1): 123-162.
    LIN C, LEE S, HORNG D. The effects of online reviews on purchasing intention: the moderating role of need for cognition[J]. Social Behavior and Personality, 2011, 39(1): 71-82. doi: 10.2224/sbp.2011.39.1.71
    HUANG, L. Exploring utilitarian and hedonic antecedents for adopting information from a recommendation agent and unplanned purchase behaviour[J]. New Review of Hypermedia and Multimedia, 2016, 22(2): 139-165.
    ASHRAF, A, THONGPAPANL N, SPYROPOULOU S. The connection and disconnection between e-commerce businesses and their customers: exploring the role of engagement, perceived usefulness, and perceived ease-of-use[J]. Electronic Commerce Research and Applications, 2016, 20(1): 69-86.
    CLOSE A, LACEY R, CORNWELL T. Visual processing and need for cognition can enhance event-sponsorship outcomes[J]. Journal of Advertising Research, 2015, 55(2): 206-215. doi: 10.2501/JAR-55-2-206-215
    FANG Y. Beyond the credibility of electronic word of mouth: exploring ewom adoption on social networking sites from affective and curiosity perspectives[J]. International Journal of Electronic Commerce, 2014, 18(3): 67-102. doi: 10.2753/JEC1086-4415180303
    NUNNALLY J, BERNSTEIN I. Psychometric theory[M]. New York: McGraw-Hill, 1994.
    COHEN J. Statistical power analysis for the behavioral sciences[M]. New Jersey: Lawrence, 1988.

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