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Impact of Value-Added Service Features in e-Retailing Processes: An Econometric Analysis of Web Site Functions

机译:增值服务功能在电子零售过程中的影响:网站功能的计量经济学分析

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摘要

We examine the impact of three classes of Web site functions (foundational, customer-centered, and value-added) upon e-retailer performance. Using secondary panel data for 2007-2009 on operating characteristics of over 600 e-retailers, our econometric analysis finds that only the value-added service functions are positively associated with changes in e-retail sales revenues across time. We also observe a decreasing marginal impact of deploying additional value-added service features. To account for possible alternate explanations, we control for firm- and time-specific fixed effects, merchant types, merchandise categories, and order fulfillment strategies. By further decomposing e-retail sales revenues into Web site traffic, conversion rate, and average order value, we find that Web site functions affect e-retail sales revenues mainly through their impact on Web site traffic. Our investigation demonstrates the empirical research usefulness of the Voss conceptual e-service sand cone model. Our results identify for managers where to focus ongoing e-retailing system development efforts, yet suggest that focusing too many retailing capabilities on exploratory and experimental value-added service features may backfire, potentially leading to worsening e-retailer performance.
机译:我们研究了三类网站功能(基础,以客户为中心和增值)对电子零售商绩效的影响。通过使用2007-2009年有关600多家电子零售商的运营特征的辅助面板数据,我们的计量经济学分析发现,只有增值服务功能与电子零售销售收入随时间的变化呈正相关。我们还观察到部署附加增值服务功能对边际影响的降低。为了解释可能的其他解释,我们控制了公司和特定时间的固定效果,商人类型,商品类别和订单履行策略。通过将电子零售销售收入进一步分解为网站流量,转换率和平均订单价值,我们发现网站功能主要通过影响电子零售量来影响电子零售销售收入。我们的调查证明了Voss概念性电子服务沙锥模型的实证研究有用性。我们的结果为管理人员确定了将重点放在正在进行的电子零售系统开发工作上的地方,但建议将过多的零售功能集中在探索性和实验性增值服务功能上可能适得其反,从而可能导致电子零售商的性能下降。

著录项

  • 来源
    《Decision Sciences》 |2014年第6期|1159-1186|共28页
  • 作者单位

    College of Commerce, National Chengchi University, Taipei, 11605, Taiwan;

    College of Business, Oregon State University, Corvallis, OR;

    Department of Decision and Information Sciences, C.T. Bauer College of Business, University of Houston, 334 Melcher Hall, Room 260C, Houston, TX;

    Department of Information and Operations Management, Mays Business School, Texas A&M University, 320 Wehner Building, 4217 TAMU, College Station, TX 77843;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    E-Retailing; Econometrics; Q-Sort; "Sand Cone" Model; Web Site Functions;

    机译:电子零售;计量经济学;Q排序“沙锥”模型;网站功能;
  • 入库时间 2022-08-18 03:50:13

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