Using super-efficiency DEA to benchmark the Internet channels efficiency

Hung-Jen Tu, Wan-Chu Yen, Pin-Chang Chen
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Abstract

The emergence of the Internet has forced a wealth of firms to explore a new form of channels of distribution, i.e., Internet channels. Nevertheless, few empirical studies undertake comprehensive Internet channels evaluation and provide direct evidence on their performance implications. In order to fill in the literature gap, this research employs super-efficiency data envelopment analysis (DEA) to benchmark the operating efficiency of Internet channels. Empirical data are collected from the financial service sector in Taiwan. The findings demonstrate that the existence of large inefficiencies due to poor input utilization and failure to operate at constant returns to scale. This research provides significant insight into the degree of the efficient firms, further identifies the most distinguished firm as benchmark, and eventually benefits multiple-channel-policy making in resource allocation.
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利用超效率DEA对互联网渠道效率进行基准测试
互联网的出现迫使许多公司探索一种新的分销渠道形式,即互联网渠道。然而,很少有实证研究进行全面的互联网渠道评估,并为其绩效影响提供直接证据。为了填补文献空白,本研究采用超效率数据包络分析(DEA)对互联网渠道的运营效率进行基准测试。实证数据采自台湾金融服务业。研究结果表明,由于投入利用率低和未能以恒定的规模回报运作,存在很大的低效率。本研究提供了对企业效率程度的重要洞察,进一步确定了最杰出的企业作为基准,最终有利于资源配置的多渠道政策制定。
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