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A Social Decision Support Mechanism for Group Purchasing

Authors: Lien-Fa Lin, Yung-Ming Li, Fu-Shun Hsieh


With the advancement of information technology and development of group commerce, people have obviously changed in their lifestyle. However, group commerce faces some challenging problems. The products or services provided by vendors do not satisfactorily reflect customers’ opinions, so that the sale and revenue of group commerce gradually become lower. On the other hand, the process for a formed customer group to reach group-purchasing consensus is time-consuming and the final decision is not the best choice for each group members. In this paper, we design a social decision support mechanism, by using group discussion message to recommend suitable options for group members and we consider social influence and personal preference to generate option ranking list. The proposed mechanism can enhance the group purchasing decision making efficiently and effectively and venders can provide group products or services according to the group option ranking list.

Keywords: Social network, group decision, text mining, group commerce.

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[1] Taiwantrade, URL: 42526/I, Accessed: 03/29/ 2014.
[2] Piller, F.T. and D. Walcher, Toolkits for idea competitions: a novel method to integrate users in new product development. r&D management, 36 (3) (2006) 307-318.
[3] OTX, The Impact of Social Media on Purchasing Behavior, 2008.
[4], URL:, Acessed: 10/26/2014.
[5] Tse-Ming Tsai,Ping-Che Yang, Wen-Nan Wang, Pilot Study toward Realizing Social Effect in O2O Commerce Services. Social Informatics Lecture Notes in Computer Science, 8238 (2013) 268-273.
[6] EZprice,URL:
[7] Fodness, D., Murray, B., A Model of Tourist Information Search Behavior. Journal of Travel Research, 37 (3) (1999) 220-230.
[8] Anagnostopoulos. Sellers in e-marketplaces: A Fuzzy Logic based decision support system. Information Sciences, 278 (10) (2014) 267-284.
[9] Sanghyun Kim, Hyunsun Park, Effects of various characteristics of social commerce (s-commerce) on consumers’s trust and trust performance, International Journal of Information Management, 33 (2) (2013) 318–332.
[10] Peter Leitner, Thomas Grechenig, Collaborative Shopping Networks: Sharing the Wisdom of Crowds in E-Commerce Environments, 21st Bled eConference eCollaboration: Overcoming Boundaries through Multi-Channel Interaction, June 15 - 18, 2008; Bled, Slovenia
[11] Liu Bao-zheng, Wang Ding-Wei, Research on the realization and the risk of group-buying pattern, Control and Decision Conference (CCDC), pp. 1248 – 1251, 2013.
[12] Peter, J.P. & Olson (1990), Consumer Behavior and Marketing Strategy. Richard D. Irwin Inc. pp.5-6.
[13] Simon, H. A. A Behavioral Model of Rational Choice. The Quarterly Journal of Economics, 69, 1(1955), 99-118.
[14] Alireza Abbasi, Rolf T. Wigand, Liaquat Hossain. Measuring social capital through network analysis and its influence on individual performance. Library & Information Science Research, 36 (1) (2014) 66-73.
[15] Ching-Yung Lin etc. Social Network Analysis in Enterprise, Proceedings of the IEEE (Volume:100 , Issue: 9 ), Sept. 2012, pp. 2759 – 2776.
[16] Ecommercetaiwanapp, URL: ( 2013/12/2013-o2o_8196.html), Accessed:12/15/2014.
[17] S.Y. Chou, Y.H. Chang, and C.Y. Shen, A fuzzy simple additive weighting system under group decision-making for facility location selection with objective/subjective attributes, European Journal of Operational Research 189 (1) (2008), 132-145.
[18] S. C. Alexander, J. L. Peterson, A. B.Hollingshead, Help is at your keyboard: Support groups and the internet. In L. R. Frey, editor, Group Communication in Context: Study of Bona Fide Groups, pp. 309–334, 2003.
[19] K.T. Atanassov, Intuitionistic fuzzy sets, Fuzzy Sets and Systems 20 (1) (1986), 87-96.
[20] Y.C. Hu, Classification performance evaluation of single-layer perceptron with Choquet integral-based TOPSIS, Applied Intelligence 29 (3) (2008) 204-215.
[21] J. Kamps, M. Marx, R.J. Mokken, M.D. Rijke, Using Wordnet to measure semantic orientation of adjectives, in: Proceedings of the LREC, 4th International Conference on Language Resources and Evaluation, 1115-1118, 2004.