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    Using entropy and AHP-TOPSIS for comprehensive evaluation of internet shopping malls and solution optimality

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    Authors
    Kumar, Anil
    Dash, Manoj Kumar
    Seharawat, Ritu
    Affiliation
    University of Derby
    Indian Institute of Information Technology and Management, Gwalior, India
    Issue Date
    2017-02-21
    
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    Abstract
    Consumers are switching from offline to online to buy everything due to this reason nowadays Internet shopping malls (ISMs) are setting up a very crucial role in the economy. For assessment and ranking are basically a critical work which could be exploitation of Internet shopping malls information resources when consider in a scientific way, there are many methods for the evaluation and ranking of e-commerce sites. Taking into consideration Traffic Rank, Inbound Links, Competition, Speed, and Keyword Statistics, in literature Multi Criteria Decision Making (MCDM) methods are rarely used by the researchers to find the rank of Internet Shopping Malls (ISMs) on the basis of primary/secondary data of these influencing factors. This study, therefore, is unique to narrow down the gap in literature by employing MCDM methods i.e. Entropy and Analytic Hierarchy Process (AHP) to collect the weight of influencing factors and Technique for Order Preference by Similarity to Ideal (TOPSIS) to find the rank of Internet Shopping Malls (ISMs). After finding out the rank of selected criteria, solution optimality needs to be done to find the average ideal solution matrix. Conclusion and managerial implications of the study are also discussed.
    Citation
    Using entropy and AHP-TOPSIS for comprehensive evaluation of internet shopping malls and solution optimality 2017, 11 (4):487 International Journal of Business Excellence
    Publisher
    Inderscience
    Journal
    International Journal of Business Excellence
    URI
    http://hdl.handle.net/10545/623350
    DOI
    10.1504/IJBEX.2017.082575
    Additional Links
    http://www.inderscience.com/link.php?id=82575
    Type
    Article
    Language
    en
    ISSN
    1756-0047
    1756-0055
    ae974a485f413a2113503eed53cd6c53
    10.1504/IJBEX.2017.082575
    Scopus Count
    Collections
    Centre for Supply Chain Improvement

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