AUTHORS: Lazim Abdullah, Hanni Lim
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ABSTRACT: The fuzzy decision-making trial and evaluation laboratory (fuzzy DEMATEL) provides a causal relationship among criteria and computationally feasible method for addressing uncertain and ambiguous information in decision making. This paper aims to unravel the relationships between criteria of e-commerce using the fuzzy DEMATEL, where triangular fuzzy numbers are used to represent uncertain and ambiguous information. One hundred and twelve undergraduate students of mixed gender at a public university in Malaysia were invited to evaluate the criteria of e-commerce using a six-construct questionnaire. Linguistic scales that defined using triangular fuzzy numbers were employed in data collection. Data were analyzed using the nine-step of the DEMATEL method. The main contribution of this paper is the development of the causal relationship among the criteria of e-commerce that obtained from a total relation matrix of the fuzzy DEMATEL. It is found that ‘Ease of Use System’ was the most influencing criterion and ‘Information of Product or Services’ was the most important criterion. Not only did the fuzzy DEMATEL unravel the relationship among criteria, but it also identified the degree of importance among the criteria. The findings contribute to a better understanding about the criteria of e-commerce, where retailers could develop effective strategies in marketing and reciprocally, consumers would receive products and services with higher quality
KEYWORDS: e-commerce, triangular fuzzy number, causal diagram, decision makingREFERENCES:
 K.Govindan, R. Khodaverdi, and A. Vafadarnikjoo, Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chain. Expert Systems with Applications Vol 42, No. 20, 2015.pp. 7207-7220.
 E. Fontela, and A. Gabus, The DEMATEL observer, DEMATEL 1976 report. Battelle Geneva Research Center, Geneva, Switzerland. 1976.
 D.J.F. Jeng. Generating a causal model of supply chain collaboration using the fuzzy DEMATEL technique. Computers & Industrial Engineering Vol. 87, , 2015. pp.283-295.
 G.H. Tzeng, and J.J. Huang, Multiple Attribute Decision Making: Methods and Application. London: CRC Press. 2011.
 T.M., Yeh, and Y.L. Huang, Factors in determining wind farm location: Integrating GQM,fuzzy DEMATEL, and ANP. Renewable Energy Vol. 66, 2014. pp.159-169.
 B. Samani, and F. Shaboudaghlou, A fuzzy systematic approach to construction risk analysis, Journal of Risk Analysis Vol. 2, No.4, 2012., pp. 275-284.
 M., Hiete, M. Merz, T. Comes, and F. Schultmann, Trapezoidal fuzzy DEMATEL method to analyze and correct for relations between variables in a composite indicator for disaster resilience. OR spectrum Vol. 34, No. 4, 2012. pp. 971-995.
 S.C., Chang, C.C Sun and H. Ay, The DEMATEL approach applied to solar cell industry material selection process in Taiwan. In 2011 the 14th Conference on interdisciplinary and multifunctional business management. 2011.pp. 253-267.
 R.K., Mavi, and H. Shahabi, Using fuzzy DEMATEL for evaluating supplier selection criteria in manufacturing industries. International Journal of Logistics Systems and Management. Vol. 22, No.1, 2015. pp. 15-42.
 B. Chang, C.W. Chang, and C.H. Wu, Fuzzy DEMATEL method for developing supplier selection criteria, Expert Systems with Applications , Vol. 38, No. 3, pp.1850-1858.
 S.K. Patil, and R. Kant, Knowledge management adoption in supply chain: Identifying critical success factors using fuzzy DEMATEL approach. Journal of Modelling in Management Vol. 9, No. 2, 2014. pp. 160-178.
 S. Rouhani, A. Ashrafi, and S. Afshari, Fuzzy DEMATEL model for evaluation criteria of business intelligence. In Proceedings of the 16th International Conference on Enterprise Information System. 2014. pp. 456-463.
 J. Paynter, and J. Lim, 2001. Drivers and Impediments to E-commerce in Malaysia. Malaysian Journal of Library & Information Science. Vol. 6, No. 2, pp. 1-19.
 Zieman. Online shopping starts to gain more traction in Malaysia. The Star Online. https://www.thestar.com.my/Business/SME/201 4/03/29/Retail-revolution-in-the-makingOnline-shopping-starts-to-gain-more-tractionin-Malaysia/?style=biz
[22 October 2015]. 2014.
 C. Valmohammadi, and S. Dashti, Using interpretive structural modeling and fuzzy analytical process to identify and prioritize the interactive barriers of e-commerce implementation. Information & Management Vol.53, No. 2, 2016. pp. 157-168.
 Zimmermann, J. Fuzzy sets and its applications, fourth edition, Kluwer Academic Publishers, New York. 1995.
 W.W. Wu, Segmenting critical factors for successful knowledge management implementation using the fuzzy DEMATEL method. Applied Soft Computing. Vol. 12, No. 1, 2012. pp. 527-535.
 A.V. Devadoss, and A. Felix, 2013. A Fuzzy DEMATEL approach to study cause and effect relationship of youth violence. International Journal of Computing Algorithm, Vol. 2, pp. 363-372.
 H.C. Liu, J.X. You, Q.L. Lin, and H. Li, Risk assessment in system FMEA combining fuzzy weighted average with fuzzy decision making trial and evaluation laboratory. International Journal of Computer Integrated Manufacturing Vol. 28, No. 7, 2015.pp. 701– 714.
 , L. A. ZadehThe concept of a linguistic variable and its application to approximate reasoning-I. Information Science. 1975. Vol. 8, No. 3, pp. 199–249.
 K. K. F. Yuen, Membership maximization prioritization methods for fuzzy analytic hierarchy process. Fuzzy Optimization and Decision Making, Vol. 11, No. 2, 2012.pp. 113–133.
 A.K., Sangaiah, J. Gopal, A. Basu, and P.R. Subramaniam, An integrated fuzzy DEMATEL, TOPSIS, and ELECTRE approach for evaluating knowledge transfer effectiveness with reference to GSD project outcome, Neural Computing and Applications 2015, Page 1. https://link.springer.com/article/10.1007/s00521 -015-2040-7.
 T.H. Chang, and T.C. Wang, Using the fuzzy multi-criteria decision making approach for measuring the possibility of successful knowledge management, Information Science Vol.179, No. 4, 2009. pp. 355-370.
 Z.M. Jusoh, and H.L. Goh, Factors influencing consumers’ attitude towards e-commerce purchases through online shopping. International Journal of Humanities and Social Science Vol. 2, No. 4, 2012. pp. 223-230.