[Purpose/significance] With the rapid development of new media technology, information interaction with users on new media platform has become a new method, used by lots of enterprises and organizations, of understanding the needs of customers and consumer behaviors. [Method/process] Based on the Value-based Adoption Model (VAM) and the information ecology theory, the influencing factors model of users' information interaction willingness in the new media environment is established. The new media interactive platform of the automobile industry is used as the research sample and validated by the questionnaire survey and the structural equation model. [Result/conclusion] The data collected show that:the degree of influence from large to small on the information interaction willingness on new media platform are as follows perceived ease of use, perceived value, information usefulness and perceived risk; perceived ease of use, perceived value and information usefulness have positive effects while the perceived risk has a negative effect on the information interaction willingness; in the perceptual value analysis, the social entertainment has a positive effect and the perceived information cost has a negative effect on the perceived value. This research can help the new media information service platform to improve the information exchange function with users, and play a certain guiding role in the healthy development of the new media platform.
Wang Xiwei
,
Li Shimeng
,
Wang Nan'axue
,
Yang Mengqing
. Research on Influencing Factors of Consumers' Information Interaction Willingness in the New Media Environment:An Example of the Automobile Industry New Media Platform[J]. Library and Information Service, 2017
, 61(15)
: 15
-24
.
DOI: 10.13266/j.issn.0252-3116.2017.15.002
[1] MARCHIONINI G. Human-information interaction research and development[J]. Library & information science research, 2008, 30(3):165-174.
[2] TISLEROVA K. Information interaction in terms of ecommerce[C]//Proceedings of the 6th european conference on information management and evaluation. Sonning Common:Academic conferences international limited, 2012:307.
[3] HAJLI N. Social commerce constructs and consumer's intention to buy[J]. International journal of information management, 2015, 35(2):183-191.
[4] GORECKY D, SCHMITT M, LOSKYLL M, et al. Human-machine-interaction in the industry 4.0 era[C]//Proceedings of the 12th IEEE international conference on industrial informatics. Porto Alegre:IEEE, 2014:289-294.
[5] TAN E M Y, GOH D H L. A study of social interaction during mobile information seeking[J]. Journal of the Association for Information Science and Technology, 2015, 66(10):2031-2044.
[6] 邓小昭. 试析因特网用户的信息交互行为[J]. 情报资料工作, 2004(5):24-25.
[7] 邓胜利. 信息服务中的交互性研究进展[J]. 图书与情报, 2008, 152(5):55-58.
[8] 孙璐, 李力, 陶福平. 信息交互能力、价值共创与竞争优势——小米公司案例研究[J]. 研究与发展管理, 2016, 28(6):101-113.
[9] 刘高勇, 邓胜利, 王彤. 网络用户信息交互动力的实证研究[J]. 情报科学, 2014, 32(5):115-119.
[10] 张耀辉, 卢爽, 刘冰. 用户信息交互过程中影响信息质量的因素分析[J]. 情报理论与实践, 2012, 35(6):12-15.
[11] 都平平, 郭琪, 李雨珂, 等. 基于社交媒体的网络学科信息交互推广服务[J]. 图书情报工作, 2014, 58(2):84-90.
[12] 匡文波. "新媒体" 概念辨析[J]. 国际新闻界, 2008(6):66-69.
[13] 彭兰. "新媒体" 概念界定的三条线索[J]. 新闻与传播研究, 2016(3):120-125.
[14] 周毅, 张衍. 以信息构建与信息交互为定位的信息管理专业教育——以美国ischool联盟院校为样本的分析[J]. 中国图书馆学报, 2014, 40(6):67-82.
[15] 兰月新, 董希琳, 苏国强, 等. 大数据背景下微博舆情信息交互模型研究[J]. 现代图书情报技术, 2015, 31(5):24-33.
[16] 李玉梅. 人与信息交互视角下的知识服务系统分析[J]. 情报科学, 2009, 27(5):723-725.
[17] 王晰巍, 李嘉兴, 郭宇, 等. 移动网络团购app信息采纳行为影响因素研究——基于信息生态视角的分析[J]. 图书情报工作, 2015,59(7):31-38.
[18] KIM H W, CHAN H C, GUPTA S. Value-based adoption of mobile Internet:an empirical investigation[J]. Decision support systems, 2007, 43(1):111-126.
[19] Zeithaml V A. Consumer perceptions of price, quality and value:a means-end model and synthesis of evidence[J]. Journal of Marketing, 1988, 52(3):2-22.
[20] Davis. Perceived usefulness, perceived ease of use, and user acceptance of information technology[J]. MIS Quarterly. 1989, 13(3).
[21] LU H P, HSIAO K L. The influence of extro/introversion on the intention to pay for social networking sites[J]. Information & management, 2010, 47(3):150-157.
[22] 朱阁, 马龙, 吕廷杰. 基于社会认知理论的消费者采用模型与实证研究[J]. 南开管理评论, 2010(3):12-21.
[23] 范晓春. 移动图书馆用户使用行为意愿影响因素实证研究——基于信息生态视角的分析[J]. 图书馆学研究, 2015(14):85-93.
[24] 李恩科, 许强, 郭路杰. 高校移动图书馆用户采纳意愿影响因素的实证研究[J]. 图书馆论坛, 2016, 36(1):85-93.
[25] 姜丽媛. 全渠道零售时代下产品的网络适应性变化及对策[J]. 经济问题探索, 2015(7):7-13.
[26] 尹敬刚, 李晶, 魏登柏. 移动互联网环境下发表评论意愿的影响因素研究——一个整合模型的视角[J]. 图书情报工作, 2012, 56(2):135-141.
[27] 杨韦, 盛宇华, 徐昭君. 基于人格特质的虚拟社区功能与网络购买意愿——互动视角下的实证研究[J]. 企业经济, 2016(4):102-106.
[28] Liu Dan, Zhang Jing. TAM-based study on factors influencing the adoption of mobile payment[J]. China communications, 2011(3):198-204.
[29] VERONIKIS S, TSAKONAS G, PAPATHEODOROU C. Assessing use intention and usability of mobile devices in a hybrid environment[C]//International conference on theory and practice of digital libraries. Heidelberg:Springer, 2011:77-88.
[30] 朱多刚. 高校学生使用移动图书馆的行为意向研究[J]. 图书情报知识, 2012(4):75-80.
[31] 赵英, 张美, 谢彩云. 用户接受手机物联网的影响因素的实证研究[J]. 西南民族大学学报(人文社会科学版), 2014, 35(2):133-138.
[32] 易涌征. 移动支付消费者接受的影响因素研究[D]. 杭州:浙江大学, 2012.
[33] PORTER M E. Competitive advantage:Creating and sustaining superior performance[M]. New York:FreePress, 1985.
[34] 赵文军, 易明, 王学东. 社交问答平台用户持续参与意愿的实证研究——感知价值的视角[J]. 情报科学, 2017, 35(2):69-74.
[35] FOWLER F J. Improving survey questions:Design and evaluation[M]. London:Sage, 1995.
[36] 吴朝彦, 黄磊. 零售企业对移动社交媒体的持续使用意愿[J]. 中国流通经济, 2015, 29(6):88-95.
[37] 孟健, 刘阳. 移动打车软件用户使用意愿影响因素研究[J]. 现代情报, 2016, 36(2):25-31.
[38] 文鹏, 蔡瑞. 微信用户使用意愿影响因素研究[J]. 情报杂志, 2014, 33(6):156-161.
[39] TUREL O, SERENKO A, BONTIS N. User acceptance of hedonic digital artifacts:a theory of consumption values perspective[J]. Information & management, 2010, 47(1):53-59.
