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Website success comparison in the context of e-recruitment: An analytic network process (ANP) approach

机译:电子招聘中的网站成功比较:一种分析网络过程(ANP)方法

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This study investigates relative importance of website success factors in selecting the most preferred website. To identify relative importance of website success factors and to rank alternative websites with respect to success factors, Updated Delone and McLean Information System Success Model is extended through applying an analytic network process (ANP) approach. A field study with 383 academic internet users was performed. Relative importance of each website success factor with respect to their influence on using the e-recruitment website, and user satisfaction are identified. Furthermore relative significance of using the e-recruitment website and user satisfaction in achieving positive benefits are discovered. This study also found the relative preference of each website with respect to different success variable. Results indicate that ANP is an effective tool to provide an accurate solution for interdependencies that are able to affect the decision to be made for network like models. The findings of this study provide decision makers of e-commerce companies with useful insights to compare the preference of their web-site with others with respect to different success variables. Moreover, relative significance of different success variables in websites can be compared.
机译:这项研究调查了网站成功因素在选择最喜欢的网站方面的相对重要性。为了确定网站成功因素的相对重要性并根据成功因素对替代网站进行排名,通过应用分析网络过程(ANP)方法扩展了更新的Delone和McLean信息系统成功模型。对383名学术互联网用户进行了实地研究。确定每个网站成功因素相对于其对使用电子招聘网站的影响以及用户满意度的相对重要性。此外,还发现了使用电子招聘网站和获得满意的用户满意度的相对重要性。这项研究还发现了每个网站相对于不同成功变量的相对偏好。结果表明,ANP是为相互依赖关系提供准确解决方案的有效工具,这些相互依赖关系会影响对类似网络的模型的决策。这项研究的结果为电子商务公司的决策者提供了有用的见解,以针对不同的成功变量将其网站与其他网站的偏好进行比较。此外,可以比较网站中不同成功变量的相对重要性。

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