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Cluster Computing

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05.07.2017

Consumption experience model and identification based on IWOM and emotional computing

verfasst von: Yanqing Han, Yuyan Lei, Guanju Chen

Erschienen in: Cluster Computing | Ausgabe 1/2018

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Abstract

Consumer experience types were conducted with fuzzy calculation and type classification by excavating online comment information of e-commerce platform. Based on theoretical framework of five-dimensional system analysis, the work determined two dimensions of experience value and emotion to establish consumer experience classification model. Thereinto, the experience value was determined by fuzzy reasoning theory, with antecedent of practical and hedonic values. Through online collection of IWOM from different phone brands, a corpus was established based on fuzzy words to achieve identification of consumers using different brands, providing marketing advice for enterprise.

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Pine, B.J., Gilmore, J.H.: The Experience Economy: Work is Theatre & Every Business a Stage. Harvard Business Press, Boston (1999)

China Internet Network Information Center (CNNIC), Research Report on China’s Online Shopping Market in 2015 [EB/OL]. [2017-01-05]. http://www.cnnic.cn/hlwfzyj/hlwxzbg/

Utz, S., Kerkhof, P., van den Bos, J.: Consumers rule: how consumer reviews influence perceived trustworthiness of online stores. Electron. Commer. Res. Appl. 11(1), 49–58 (2012)CrossRef

Norris, R.T.: The Theory of Consumer’s Demand. Yale University Press, New Haven (1941)

Csikszentmihalyi, M.: Beyond Boredom and Anxiety. Jossey-Bass, San Francisco (2000)

Holbrook, M.B.: Consumer Value: A Framework for Analysis and Research. Psychology Press, Hove (1999)CrossRef

Schmitt, B.H.: Experiential Marketing: How to Get Customer to Sense, Feel, Think, Act, and Relate to Your Company and Brands. Free Press, New York (1999)

Guoqing, Guo: New View Insights into Experiential Marketing. China Industry and Commerce Press, Beijing (2008)

Mano, H., Oliver, R.L.: Assessing the dimensionality and structure of the consumption experience: evaluation, feeling, and satisfaction. J. Consum. Res. 20(3), 451–466 (1993)CrossRef

10.

Mathwick, C., Malhotra, N.K., Rigdon, E.: The effect of dynamic retail experiences on experiential perceptions of value: an Internet and catalog comparison. J. Retail. 78(1), 51–60 (2002)CrossRef

11.

Hennig-Thurau, T., Gwinner, K.P., Walsh, G., et al.: Electronic word-of-mouth via consumer-opinion platforms: what motivates consumers to articulate themselves on the internet? J. Interact. Market. 18(1), 38–52 (2004)CrossRef

12.

Engel, J.F., Blackwell, R.D., Kegerreis, R.J.: How information is used to adopt an innovation. J. Advertis. Res. 9(4), 3–8 (1969)

13.

Goldsmith, R.E., Horowitz, D.: Measuring motivations for online opinion seeking. J. Interact. Advertis. 6(2), 2–14 (2006). doi:10.1080/15252019.2006.10722114 CrossRef

14.

Kulviwat, S., Guo, C., Engchanil, N.: Determinants of online information search: a critical review and assessment. Int. Res. 14(3), 245–253 (2004)

15.

Steffes, E.M., Burgee, L.E.: Social ties and online word of mouth. Int. Res. 19(1), 42–59 (2009)

16.

Wei-Qiang, D.U., Chun-Ling, Y.U., Ping, Z.H.A.O.: Forum objectivity and online WOM recipients’ attitudes. Acta Psychol. Sin. 43(08), 953–963 (2011). doi:10.3724/SP.J.1041.2011.00953

17.

Xianghua, Lu, Yue, Feng: The value of IWOM. Manag. World 07, 126–132 (2009)

18.

Shiyang, Gong, Xia, Liu, Yang, Liu, Ping, Zhao: Does online word-of-mouth determine product’s fate: an empirical analysis of online book reviews. Nankai Bus. Rev. 15(04), 118–128 (2012)

19.

Yue, Zhang, Qinghua, Zhu: Effectiveness of electronic word-of-mouth: investigation by information type and communication context. J. Libr. Sci. Chin. 04, 13–20 (2011). doi:10.13530/j.cnki.jlis.2011.04.004

20.

Guopeng, Yin: What consumers think of online reviews is more useful. Manag. World 12, 115–124 (2012)

21.

Ri-sa, N.A., Ying, L.I.U., Yuan, L.I.: Semantic Fuzzy calculation and product recommendation based on online reviews. J. Guangxi Norm. Univ. 28(3), 143–146 (2010). doi:10.16088/j.issn.1001-6600.2010.01.028

22.

Hongming, Zhang: Five-dimensional system classification and application of consumer experience. Enterp. Vital. 8, 18–19 (2005). doi:10.14017/j.cnki.2095-5766.2005.08.009

23.

Qingyuan Zhou & Jianjian Luo: The Study on Evaluation Method of Urban Network Security in the Big Data Era. Intelligent Automation & Soft Computing (2017). doi:10.1080/10798587.2016.1267444

24.

Zhou, Qingyuan: Research on heterogeneous data integration model of group enterprise based on cluster computing. Clust. Comput. 19(3), 1275–1282 (2016). doi:10.1007/s10586-016-0580-y CrossRef

Titel: Consumption experience model and identification based on IWOM and emotional computing
verfasst von: Yanqing Han
Yuyan Lei
Guanju Chen
Publikationsdatum: 05.07.2017
Verlag: Springer US
Erschienen in: Cluster Computing / Ausgabe 1/2018
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI: https://doi.org/10.1007/s10586-017-1017-y

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