A comparative gender based evaluation of e-commerce website: A hybrid MCDM approach

Past few years have seen an escalated addition in ecommerce websites along with the users, with significant additions from both male and female populations. With the proliferated competition knowing your customer base becomes important. The disquisition focuses on the parallel evaluation of these websites for both genders. The factors individuate itself for males and females, which has been considered in the comparative evaluation. This segregation has been done through calculation of weights using fuzzy AHP which is inputted to TOPSIS for the culminating evaluation. The differentiation of the factor behaviour for males and females provides the industry with the improvement area to enhance their customer base in both the bifurcations, with the findings concreting facts and needs of both the genders.

[1]  R. Weiner Lecture Notes in Economics and Mathematical Systems , 1985 .

[2]  David L. Olson,et al.  Comparison of weights in TOPSIS models , 2004, Math. Comput. Model..

[3]  Ioanna D. Constantiou,et al.  Consumer Behaviour and Mobile TV Services: Do Men Differ From Women in Their Adoption Intentions? , 2010 .

[4]  Ching-Chow Yang,et al.  KEY QUALITY PERFORMANCE EVALUATION USING FUZZY AHP , 2004 .

[5]  S. Vinodh,et al.  Integrated Fuzzy AHP–TOPSIS for selecting the best plastic recycling method: A case study , 2014 .

[6]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[7]  Shelly Rodgers,et al.  Gender and e-commerce: an exploratory study , 2003, Journal of Advertising Research.

[8]  France Bélanger,et al.  Gender differences in perceptions of web-based shopping , 2002, CACM.

[9]  France Bélanger,et al.  Gender-Based Differences in Consumer E-Commerce Adoption , 2010, Commun. Assoc. Inf. Syst..

[10]  S. Janda Does Gender Moderate the Effect of Online Concerns on Purchase Likelihood? , 2008 .

[11]  Chia-Chien Hsu,et al.  The Delphi Technique: Making Sense of Consensus , 2007 .

[12]  Arun Thamizhvanan,et al.  Determinants of customers' online purchase intention: an empirical study in India , 2013 .

[13]  Marcy M. Allen,et al.  The Ever-Shifting Internet Population: A New Look At Internet Access and the Digital Divide, Amanda Lenhart (Ed.). The Pew Internet & American Life Project, Washington, DC (2003) , 2005, Gov. Inf. Q..

[14]  C. Hwang,et al.  TOPSIS for MODM , 1994 .

[15]  Taesik Lee,et al.  Gender differences in consumers’ perception of online consumer reviews , 2011, Electron. Commer. Res..

[16]  Jamal Shahrabi,et al.  PROJECT SELECTION BY USING FUZZY AHP AND TOPSIS TECHNIQUE , 2007 .

[17]  E. Hargittai,et al.  Differences in Actual and Perceived Online Skills: The Role of Gender* , 2006 .

[18]  Yoo-Kyoung Seock,et al.  The influence of college students' shopping orientations and gender differences on online information searches and purchase behaviours , 2008 .

[19]  Gülçin Büyüközkan,et al.  A combined fuzzy AHP and fuzzy TOPSIS based strategic analysis of electronic service quality in healthcare industry , 2012, Expert Syst. Appl..

[20]  Mersid Poturak,et al.  Factors Affecting Online Shopping Behavior of Consumers , 2014 .

[21]  William David Salisbury,et al.  Perceived security and World Wide Web purchase intention , 2001, Ind. Manag. Data Syst..

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

[23]  Khaled Hassanein,et al.  Consumers' Satisfaction With Online Information Quality: The Moderating Roles Of Consumer Decision-Making Style, Gender And Product Involvement , 2013, ECIS.

[24]  Brian Detlor,et al.  Gender and Web information seeking: A self-concept orientation model , 2006, J. Assoc. Inf. Sci. Technol..

[25]  Ching-Lai Hwang,et al.  Methods for Multiple Attribute Decision Making , 1981 .

[26]  Ching-Hsue Cheng Evaluating naval tactical missile systems by fuzzy AHP based on the grade value of membership function , 1997 .

[27]  T. Saaty,et al.  Ranking by Eigenvector Versus Other Methods in the Analytic Hierarchy Process , 1998 .

[28]  Hichang Cho,et al.  Influence of Gender on Internet Commerce: An Explorative Study in Singapore , 2008 .

[29]  H. Ono,et al.  Gender and the Internet , 2003 .

[30]  S. Janda,et al.  Do Product and Consumer Characteristics Affect the Relationship Between Online Experience and Customer Satisfaction? , 2005 .

[31]  Alev Taskin Gumus,et al.  Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology , 2009, Expert Syst. Appl..

[32]  Tien-Chin Wang,et al.  Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment , 2007, Expert Syst. Appl..

[33]  R. Kraut,et al.  Using E-mail for Personal Relationships , 2001 .

[34]  Chieh-Peng Lin,et al.  Gender differs: assessing a model of online purchase intentions in e‐tail service , 2005 .

[35]  Frank Teuteberg,et al.  Integrating the concept of sustainability into the partner selection process: a fuzzy-AHP-TOPSIS approach , 2012 .

[36]  Karsten P. Ulland,et al.  Vii. References , 2022 .

[37]  G. Zinkhan,et al.  What Products Can Be Successfully Promoted and Sold Via the Internet? , 2002, Journal of Advertising Research.