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An e-commerce performance assessment model: Its development and an initial test on e-commerce applications in the retail sector of China
Authors:Jinghua Huang  Ximin Jiang  Qian Tang
Affiliation:1. Research Center for Contemporary Management, School of Economics & Management, Tsinghua University, Beijing 100084, China;2. HongKong and Shanghai Banking Corporation (HSBC), China;3. McCombs School of Business, The University of Texas at Austin, Austin, TX 78712, USA
Abstract:We developed a performance assessment model for e-commerce; it included indicators, indicator weights, and evaluation methods. The model has seven methods of assessing e-commerce performance and uses four criteria to compare and select the appropriate one for a particular situation. This model was tested in the retail sector of China. According to the data collected from 70 Chinese retailers, 16 indicators of e-commerce performance consisted of four constructs: marketing and sales, customer service, supply chain efficiency, and financial performance. The indicators for those constructs provide a comprehensive measurement of performance. Then weights were assigned for each indicator using a majority aggregation method. Comparison of the results from seven evaluation methods showed that discordance analysis and simple additive weighting were the best evaluation methods for the enterprises we had sampled.
Keywords:E-commerce performance assessment model   Performance assessment indicators   Indicator weights   Majority aggregation   Multiattribute decision making
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