Decision making on adoption of cloud computing in e-commerce using fuzzy TOPSIS

Cloud computing promises enhanced scalability, flexibility, and cost-efficiency. In practice, however, there are many uncertainties about the usage of cloud computing resources in the e-commerce context. As e-commerce is dependent on a reliable and secure online store, it is important for decision makers to adopt an optimal cloud computing mode (Such as SaaS, PaaS and IaaS). This study assesses the factors associated with cloud-based e-commerce based on TOE (technological, organizational, and environmental) framework using multi-criteria decision-making technique (Fuzzy TOPSIS). The results show that Fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) approach proposes software-as-a-service (SaaS) as the best choice for e-commerce business.

[1]  Frank Teuteberg,et al.  Evaluating cloud computing services from a total cost of ownership perspective , 2013 .

[2]  Georg Lackermair,et al.  Hybrid cloud architectures for the online commerce , 2011, WCIT.

[3]  Lotfi A. Zadeh,et al.  The concept of a linguistic variable and its application to approximate reasoning-III , 1975, Inf. Sci..

[4]  Xiao Chen,et al.  The Analysis of Storage Efficiency in VMware Virtualization Environment , 2014 .

[5]  Xiaofeng Wang,et al.  Research on e-commerce development model in the cloud computing environment , 2012, 2012 International Conference on System Science and Engineering (ICSSE).

[6]  E. Rogers Diffusion of Innovations , 1962 .

[7]  Wasin Treesinthuros E-commerce transaction security model based on cloud computing , 2012, 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems.

[8]  Hans P. Borgman,et al.  Cloudrise: Exploring Cloud Computing Adoption and Governance with the TOE Framework , 2013, 2013 46th Hawaii International Conference on System Sciences.

[9]  Ming-Te Lu,et al.  Using the technology acceptance model to analyze ease of use of a mobile communication system , 2011 .

[10]  Hema Date,et al.  Developing a Cloud-Computing Adoption Framework , 2015 .

[11]  D. Manivannan,et al.  A Classification and Characterization of Security Threats in Cloud Computing , 2016, Int. J. Next Gener. Comput..

[12]  Peng Wang,et al.  A novel hybrid MCDM model combining the SAW, TOPSIS and GRA methods based on experimental design , 2016, Inf. Sci..

[13]  Da Ruan,et al.  Multi-Objective Group Decision Making - Methods, Software and Applications with Fuzzy Set Techniques(With CD-ROM) , 2007, Series in Electrical and Computer Engineering.

[14]  Serkan Yavuz,et al.  Weapon selection using the AHP and TOPSIS methods under fuzzy environment , 2009, Expert Syst. Appl..

[15]  Morteza Yazdani,et al.  A state-of the-art survey of TOPSIS applications , 2012, Expert Syst. Appl..

[16]  Peter Kawalek,et al.  Predicting SMEs' adoption of enterprise systems , 2009, J. Enterp. Inf. Manag..

[17]  Huang Liu Qing Research on the Model and Application of E-commerce Based on Cloud Computing , 2012, 2012 International Conference on Computer Science and Service System.

[18]  Jonas Repschläger,et al.  Developing a Cloud Provider Selection Model , 2011, EMISA.

[19]  Gary Wills,et al.  An investigation of factors influencing an organisation's intention to adopt cloud computing , 2014, International Conference on Information Society (i-Society 2014).

[20]  John Riedl,et al.  Analysis of recommendation algorithms for e-commerce , 2000, EC '00.

[21]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .

[22]  C. Hwang Multiple Objective Decision Making - Methods and Applications: A State-of-the-Art Survey , 1979 .

[23]  P. Mell,et al.  The NIST Definition of Cloud Computing , 2011 .

[24]  Jie Lu,et al.  An intelligent situation awareness support system for safety-critical environments , 2014, Decis. Support Syst..

[25]  Tairan Liu E-Commerce Application Model Based on Cloud Computing , 2011, 2011 International Conference of Information Technology, Computer Engineering and Management Sciences.

[26]  Li Xiu,et al.  Application of data mining techniques in customer relationship management: A literature review and classification , 2009, Expert Syst. Appl..

[27]  Ching-Lai Hwang,et al.  Multiple Attribute Decision Making: Methods and Applications - A State-of-the-Art Survey , 1981, Lecture Notes in Economics and Mathematical Systems.

[28]  Lotfi A. Zadeh,et al.  The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .

[29]  Ali Rajabzadeh Ghatari,et al.  Factors affecting the adoption of cloud computing in small and medium enterprises , 2015, Int. J. Bus. Inf. Syst..

[30]  Abbas Mardani,et al.  Multiple criteria decision-making techniques and their applications – a review of the literature from 2000 to 2014 , 2015 .