Comparison Study on Development Path for Small and Medium-sized Enterprises E-commerce Using Complex Fuzzy Sets

E-commerce has grown exponentially in the past decade in global market. In China most E-commerce enterprises are small and medium-sized (SMEs). Compared to their large-sized counterparts, SMEs have to face many obstacles when extending their E-commerce businesses. In view of the complexity and periodicity of criteria in SMEs' development, the paper develop an evaluation method using complex fuzzy sets (CFS) to help them select appropriate development path. Then the paper focuses on a case study in Chongqing, China and compares the results with two other different methods (TOPSIS and COPRAS). The study indicates that the presented work can better handle uncertainty and periodicity in the evaluation process.

[1]  Chechen Liao,et al.  Website practices: A comparison between the top 1000 companies in the US and Taiwan , 2006, Int. J. Inf. Manag..

[2]  Jose L. Salmeron,et al.  Modelling the reasons to establish B2C in the fashion industry , 2006 .

[3]  Abraham Kandel,et al.  Complex fuzzy sets , 2002, IEEE Trans. Fuzzy Syst..

[4]  Abraham Kandel,et al.  Complex Fuzzy Sets and Complex Fuzzy Logic an Overview of Theory and Applications , 2015, Fifty Years of Fuzzy Logic and its Applications.

[5]  Suzanne Nasco,et al.  Predicting electronic commerce adoption in Chilean SMEs , 2008 .

[6]  Virpi Kristiina Tuunainen,et al.  Barriers to Global Electronic Commerce: A Cross-Country Study of Hong Kong and Finland , 2000, J. Organ. Comput. Electron. Commer..

[7]  Jyh-Horng Lin,et al.  Financial e-commerce under capital regulation and deposit insurance , 2005 .

[8]  C. Kahraman,et al.  Multi‐criteria supplier selection using fuzzy AHP , 2003 .

[9]  Joseph Sarkis,et al.  Evaluating and selecting e-commerce software and communication systems for a supply chain , 2004, Eur. J. Oper. Res..

[10]  Jae-Cheol Kim,et al.  Pricing strategies in B2C electronic commerce: analytical and empirical approaches , 2005, Decis. Support Syst..

[11]  Chang Liu,et al.  Beyond concern - a privacy-trust-behavioral intention model of electronic commerce , 2004, Inf. Manag..

[12]  William Wresch,et al.  Initial E-Commerce Efforts in Nine Least Developed Countries: A Review of National Infrastructure, Business Approaches, and Product Selection , 2003, J. Glob. Inf. Manag..

[13]  Paula M. C. Swatman,et al.  An exploratory study of small business Internet commerce issues , 1999, Inf. Manag..

[14]  Jen-Her Wu,et al.  Development of a tool for selecting mobile shopping site: A customer perspective , 2006, Electron. Commer. Res. Appl..

[15]  Jun Ni,et al.  Development Strategies for SME E-Commerce Based on Cloud Computing , 2013, 2013 Seventh International Conference on Internet Computing for Engineering and Science.

[16]  Sai Hong Tang,et al.  B2B E-Commerce Success among Small and Medium-Sized Enterprises: A Business Network Perspective , 2015, J. Organ. End User Comput..

[17]  Steve Muylle,et al.  Online support for commerce processes by web retailers , 2003, Decis. Support Syst..

[18]  J. Michael Pearson,et al.  Electronic commerce adoption: an empirical study of small and medium US businesses , 2004, Inf. Manag..

[19]  Scott Dick,et al.  ANCFIS: A Neurofuzzy Architecture Employing Complex Fuzzy Sets , 2011, IEEE Transactions on Fuzzy Systems.

[20]  Yehua Dennis Wei,et al.  Restructuring Industrial Districts, Scaling Up Regional Development: A Study of the Wenzhou Model, China , 2007 .

[21]  David C. Yen,et al.  A study on decision factors in adopting an online stock trading system by brokers in Taiwan , 2005, Decis. Support Syst..

[22]  Hung-Pin Shih,et al.  An empirical study on predicting user acceptance of e-shopping on the Web , 2004, Inf. Manag..

[23]  Omolbanin Yazdanbakhsh,et al.  On Pythagorean and Complex Fuzzy Set Operations , 2016, IEEE Transactions on Fuzzy Systems.

[24]  Krassimir T. Atanassov,et al.  Intuitionistic fuzzy sets , 1986 .

[25]  Ronald R. Yager,et al.  Pythagorean Membership Grades, Complex Numbers, and Decision Making , 2013, Int. J. Intell. Syst..

[26]  T. V. Ramakrishnan,et al.  Atanassov intuitionistic fuzzy sets generating maps , 2013, J. Intell. Fuzzy Syst..

[27]  Antonis C. Stylianou,et al.  Perceptions and Attitudes about E-Commerce Development in China: An Exploratory Study , 2003, J. Glob. Inf. Manag..

[28]  Abraham Kandel,et al.  Complex fuzzy logic , 2003, IEEE Trans. Fuzzy Syst..

[29]  Niklas Aldin,et al.  Electronic commerce, marketing channels and logistics platforms--a wholesaler perspective , 2003, Eur. J. Oper. Res..

[30]  Jie Lu,et al.  A Method for Multiple Periodic Factor Prediction Problems Using Complex Fuzzy Sets , 2012, IEEE Transactions on Fuzzy Systems.

[31]  Pin Luarn,et al.  AIS Electronic Library (AISeL) , 2017 .

[32]  Kai-Yuan Cai,et al.  Operation Properties and δ-Equalities of Complex Fuzzy Sets , 2011 .

[33]  Scott Dick,et al.  Toward complex fuzzy logic , 2005, IEEE Transactions on Fuzzy Systems.

[34]  Dirk Van den Poel,et al.  Predicting online-purchasing behaviour , 2005, Eur. J. Oper. Res..

[35]  Ronald R. Yager,et al.  Pythagorean Membership Grades in Multicriteria Decision Making , 2014, IEEE Transactions on Fuzzy Systems.

[36]  Dimitrios Buhalis,et al.  E-Commerce in China: The case of travel , 2006, Int. J. Inf. Manag..

[37]  Tzyh-Lih Hsia,et al.  Analysis of E-commerce innovation and impact: a hypercube model , 2004, Electron. Commer. Res. Appl..

[38]  Edmundas Kazimieras Zavadskas,et al.  Multi-Attribute Decision-Making Model by Applying Grey Numbers , 2009, Informatica.