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    政大機構典藏 > 商學院 > 資訊管理學系 > 學位論文 >  Item 140.119/100463
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/100463


    Title: 電子零售商網站功能與營運績效之實證研究
    An Empirical Analysis of E-Retailer’s Website Features and Operational Performance
    Authors: 呂亮緯
    Lu, Liang Wei
    Contributors: 梁定澎
    莊皓鈞

    Liang, Ting Peng
    Howard Hao-Chun Chuang

    呂亮緯
    Lu, Liang Wei
    Keywords: 零售商
    轉換率
    網站流量
    網站功能
    實證研究
    E-Retailing
    Conversion Rate
    Website Traffic
    Website Features
    Empirical Research
    Date: 2016
    Issue Date: 2016-08-22 10:45:43 (UTC+8)
    Abstract: 本研究探討零售商網站的網站功能對於其網站流量及轉換率的影響,目的是提供零售商網站建立或改版時的參考。我們採用2013及2014年中國年度銷售額前500名之零售商的網站功能資料,將這些網站功能依據消費者線上交易的流程整理成「商品資訊獲取」、「付款方式」與「訂單履行與退貨服務」三大構面並再細分成7個子構面,「商品資訊獲取」構面分為「提供產品資訊」子構面以及和「消費者互動與客製化」子構面; 「付款方式」分成了「線下支付方式」、「線上傳統支付方式」以及「線上第三方支付方式」三個子構面; 「訂單履行與退貨服務」分成了「物流運送」以及「退貨服務」兩個子構面,我們探討這三大構面及七個子構面對於零售商網站的網站流量以及轉換率的影響。
    本研究採用追蹤資料(panel data)分析,控制了不同零售商及年份的固定效果去評估網站功能的影響,結果發現「商品資訊獲取」功能對網站流量有正向影響、「付款方式」中的「線上第三方支付方式」子構面對於轉換率有正向影響,但訂單履行與退貨服務對於網站營運指標無顯著影響。接著,我們在進一步的探討中,將這些店家依據所販賣的產品之類別分成了Convenience goods、Shopping goods以及Specialty goods三大類,而「mass merchant」類別的店家無法歸類在上述三類,因此獨自唯一類,我們分析這三大類店家以及mass merchant類別的店家網站功能對於網站流量以及轉換率的影響。結果發現Convenience類別的店家在「商品資訊獲取」構面的「提供商品資訊」功能對於轉換率呈現正顯著;在Shopping goods類別的店家,「付款方式」構面的「線上第三方支付方式」功能對於其網站轉換率有正向顯著;而在Specialty goods類別「商品資訊獲取」構面的「提供產品資訊」功能對於其轉換率有正向的影響。
    The research examines the impact of Website Features upon two important e-retailer performance metrics – website traffic and conversion rate. Using 2013-2014 secondary panel data of top 500 e-retailers in China, we classify Website Features into three categories (product information retrieval, payment method and fulfillment & return service) according to consumers’ online transaction processes. Product information retrieval contains two constructs: product information provision and interaction & customization. Payment method contains three constructs: offline payment method, online traditional payment method and online third party payment method. Fulfillment & return service contains two constructs: logistics transportation and return service.
    After controlling for firm and time-specific fixed effects, we find that product information retrieval features have positive impacts on website traffic, and payment method have positive impacts on conversion rate. However, our analysis shows that fulfillment & return service are not significantly associated with the two performance metrics. In our post-hoc analysis, we further classify company into three categories and “mass merchant category” which could not be classified based on products they sold: convenience goods, shopping goods and specialty goods. We find the construct “product information provision” has positive impacts on conversion rate for convenience and specialty goods, while “online third party payment method” has positive impacts on conversion rate for shopping goods.
    Reference: 英文期刊論文
    Alexander, N., & Colgate, M. (1998). The evolution of retailer, banker and customer relationships: a conceptual framework. International Journal of Retail & Distribution Management, 26(6), 225-236.

    Ayanso, A., & Yoogalingam, R. (2009). Profiling retail web site functionalities and conversion rates: A cluster analysis. International Journal of Electronic Commerce, 14(1), 79-113.

    Asfoura, E. S., Jamous, N., & Salem, W. (2009). The economic classification of E-Learning business models. IEEE Technology and Engineering Education (ITEE), 4(1), 8-12.

    AlGhamdi, R., Drew, S., & AlFaraj, O. (2011). Issues influencing Saudi customers’ decisions to purchase from online retailers in the KSA: A qualitative analysis. European Journal of Scientific Research, 55(4), 580-593.

    Bauer, H. H., Falk, T., & Hammerschmidt, M. (2006). eTransQual: A transaction process-based approach for capturing service quality in online shopping. Journal of Business Research, 59(7), 866-875.

    Bai, B., Law, R., & Wen, I. (2008). The impact of website quality on customer satisfaction and purchase intentions: Evidence from Chinese online visitors. International Journal of Hospitality Management, 27(3), 391-402.

    Belanche, D., Casaló, L. V., & Guinalíu, M. (2012). Website usability, consumer satisfaction and the intention to use a website: the moderating effect of perceived risk. Journal of retailing and consumer services, 19(1), 124-132.

    Chircu, A. M., & Mahajan, V. (2006). Managing electronic commerce retail transaction costs for customer value. Decision Support Systems, 42(2), 898-914.

    Casaló, L. V., Flavián, C., & Guinalíu, M. (2008). The role of satisfaction and website usability in developing customer loyalty and positive word-of-mouth in the e-banking services. International Journal of Bank Marketing, 26(6), 399-417.

    Chang, H. H., & Chen, S. W. (2009). Consumer perception of interface quality, security, and loyalty in electronic commerce. Information & Management, 46(7), 411-417.

    Chou, Y. C., Chuang, H. H. C., & Shao, B. B. (2016). The impact of e-retail characteristics on initiating mobile retail services: A modular innovation perspective. Information & Management, 53(4), 481-492.

    DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information systems research, 3(1), 60-95.

    Delone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of management information systems, 19(4), 9-30.

    Flavián, C., Guinalíu, M., & Gurrea, R. (2006). The role played by perceived usability, satisfaction and consumer trust on website loyalty. Information & Management, 43(1), 1-14.

    Grewal, D., Iyer, G. R., & Levy, M. (2004). Internet retailing: Enablers, limiters and market consequences. Journal of Business Research, 57(7), 703-713.

    Gummesson, E. (2008). Quality, service-dominant logic and many-to-many marketing. The TQM Journal, 20(2), 143-153.

    H.van der Heijden, H. (2000). The Inclusion of E-Commerce Metrics in Strategic Planning Results from an Exploratory Empirical Study. AMCIS 2000 Proceedings, 431.

    Heim, G. R., & Field, J. M. (2007). Process drivers of e-service quality: Analysis of data from an online rating site. Journal of Operations Management, 25(5), 962-984.

    Hausman, A. V., & Siekpe, J. S. (2009). The effect of web interface features on consumer online purchase intentions. Journal of Business Research, 62(1), 5-13.

    Hsu, C. L., Chang, K. C., & Chen, M. C. (2012). The impact of website quality on customer satisfaction and purchase intention: perceived playfulness and perceived flow as mediators. Information Systems and e-Business Management, 10(4), 549-570.

    Hao‐Chun Chuang, H., Lu, G., Peng, D. X., & Heim, G. R. (2014). Impact of Value‐Added Service Features in e‐Retailing Processes: An Econometric Analysis of Web Site Functions. Decision Sciences, 45(6), 1159-1186.

    Jeong, M., & Lambert, C. U. (2001). Adaptation of an information quality framework to measure customers’ behavioral intentions to use lodging Web sites. International Journal of Hospitality Management, 20(2), 129-146.

    Jiang, P., & Rosenbloom, B. (2005). Customer intention to return online: price perception, attribute-level performance, and satisfaction unfolding over time. European Journal of Marketing, 39(1/2), 150-174.

    Kalakota, R., & Whinston, A. B. (1996). Frontiers of Electronic Commerce [Book Reviews]. IEEE Transactions on Components, Packaging, and Manufacturing Technology: Part C, 19(2), 144.

    Keeney, R. L. (1999). The value of Internet commerce to the customer. Management Science, 45(4), 533-542.

    Kuo, Y. F., Wu, C. M., & Deng, W. J. (2009). The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value-added services. Computers in human behavior, 25(4), 887-896.

    Kassim, N., & Asiah Abdullah, N. (2010). The effect of perceived service quality dimensions on customer satisfaction, trust, and loyalty in e-commerce settings: A cross cultural analysis. Asia Pacific Journal of Marketing and Logistics, 22(3), 351-371.

    Lynch Jr, J. G., & Ariely, D. (2000). Wine online: Search costs affect competition on price, quality, and distribution. Marketing science, 19(1), 83-103.

    Liang, T. P., & Lai, H. J. (2002). Effect of store design on consumer purchases: an empirical study of on-line bookstores. Information & Management, 39(6), 431-444.

    Lightner, N. J. (2004). Evaluating e-commerce functionality with a focus on customer service. Communications of the ACM, 47(10), 88-92.

    Lee, G. G., & Lin, H. F. (2005). Customer perceptions of e-service quality in online shopping. International Journal of Retail & Distribution Management, 33(2), 161-176.

    Lee, Y., & Kozar, K. A. (2006). Investigating the effect of website quality on e-business success: An analytic hierarchy process (AHP) approach. Decision Support Systems, 42(3), 1383-1401.

    Lu, Y., Zhao, L., & Wang, B. (2010). From virtual community members to C2C e-commerce buyers: Trust in virtual communities and its effect on consumers’ purchase intention. Electronic Commerce Research and Applications, 9(4), 346-360.

    Moe, W. W., & Fader, P. S. (2004). Capturing evolving visit behavior in clickstream data. Journal of Interactive Marketing, 18(1), 5-19.

    Mich, L., Garigliano, R., & Novi Inverardi, P. (2008). Business models for the Web: an analysis of success factors. ICT for Tourism, WCC2008, Milan, 8-10.

    Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). Servqual. Journal of retailing, 64(1), 12-40.

    Palmer, J. W. (2002). Web site usability, design, and performance metrics. Information Systems Research, 13(2), 151-167.

    Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic commerce, 7(3), 101-134.

    Pentina, I., Amialchuk, A., & Taylor, D. G. (2011). Exploring effects of online shopping experiences on browser satisfaction and e-tail performance. International Journal of Retail & Distribution Management, 39(10), 742-758.

    Quelch, J. A., & Klein, L. R. (1996). The Internet and international marketing. MIT Sloan Management Review, 37(3), 60.

    Rabinovich, E., & Bailey, J. P. (2004). Physical distribution service quality in Internet retailing: service pricing, transaction attributes, and firm attributes. Journal of Operations Management, 21(6), 651-672.

    Rao, S., Griffis, S. E., & Goldsby, T. J. (2011). Failure to deliver? Linking online order fulfillment glitches with future purchase behavior. Journal of Operations Management, 29(7), 692-703.

    Silverman, B. G., Bachann, M., & Al-Akharas, K. (2001). Implications of buyer decision theory for design of e-commerce websites. International Journal of Human-Computer Studies, 55(5), 815-844.

    Song, J., Jones, D., & Gudigantala, N. (2007). The effects of incorporating compensatory choice strategies in Web-based consumer decision support systems. Decision Support Systems, 43(2), 359-374.

    Thirumalai, S., & Sinha, K. K. (2005). Customer satisfaction with order fulfillment in retail supply chains: implications of product type in electronic B2C transactions. Journal of Operations Management, 23(3), 291-303.

    Tsai, J. Y., Raghu, T. S., & Shao, B. B. (2013). Information systems and technology sourcing strategies of e-Retailers for value chain enablement. Journal of Operations Management, 31(6), 345-362.

    Tandon, U., Kiran, R., & Sah, A. N. (2016). Analysing the complexities of website functionality, perceived ease of use and perceived usefulness on customer satisfaction of online shoppers in India. International Journal of Electronic Marketing and Retailing, 7(2), 115-140.

    Wolfinbarger, M., & Gilly, M. C. (2003). eTailQ: dimensionalizing, measuring and predicting etail quality. Journal of Retailing, 79(3), 183-198.

    Wang, Y. S. (2008). Assessing e‐commerce systems success: a respecification and validation of the DeLone and McLean model of IS success. Information Systems Journal, 18(5), 529-557.

    Weisberg, J., Te`eni, D., & Arman, L. (2011). Past purchase and intention to purchase in e-commerce: The mediation of social presence and trust. Internet Research, 21(1), 82-96.

    Zhu, K., & Kraemer, K. L. (2002). E-commerce metrics for net-enhanced organizations: Assessing the value of e-commerce to firm performance in the manufacturing sector. Information Systems Research, 13(3), 275-295.


    英文書刊
    Asfoura, E., Kassem, G., Rautenstrauch, C., Gomez, J. M., & Jamous, N. (2008, April). The Classification of Business Model for the Exchange of Distributed Components of Federated ERP Systems on the Basis of Web Services. In Information and Communication Technologies: From Theory to Applications, 2008. ICTTA 2008. 3rd International Conference on (pp. 1-6). IEEE.

    Gummesson, E. (2004). From one-to-one to many-to-many marketing. InService Excellence in Management: Interdisciplinary Contributions, Proceedings from the QUIS 9 Symposium, Karlstad University Karlstad, Sweden (pp. 16-25).

    Hanson, W. (2000) Principles of Internet Marketing. Ohio: South-Western College Publishing.

    Yue, L. (2012). Chinese customer satisfaction survey of online shopping: a case study of Taobao.


    中文討論稿
    呂曜志、邱昰芳 (2015), 中國大陸電子商務發展趨勢對臺商的啟示


    網頁資料
    2013年及2014年中國銷售金額前500名之零售商資料, Retrieved Jan 13 2016, from: http://www.top500guide.com/

    2015年度中國網路零售市場數據監測報告, Retrieved May 16 2016, from: http://www.100ec.cn/zt/upload_data/2015ls.pdf

    中文在線百科, Retrieved June 12 2016, from: http://www.zwbk.org/zh-tw/Lemma_Show/106933.aspx

    維基百科-電子商務的分類 , Retrieved Jan 20, from: https://zh.wikipedia.org/wiki/%E9%9B%BB%E5%AD%90%E5%95%86%E5%8B%99%E7%B6%93%E7%87%9F%E6%A8%A1%E5%BC%8F

    行政院主計處-中華民國行業標準分類(第10次修訂), Retrieved Jan 13 2016, from: http://www.dgbas.gov.tw/ct.asp?xItem=38933&ctNode=3111&mp=1

    MBA智庫百科-零售業定義, Retrieved Jan 20, from: http://wiki.mbalib.com/zh-tw/%E9%9B%B6%E5%94%AE%E4%B8%9A

    Gold, K. Web site conversion metrics. Retrieved Feb 20, from: http://content.websitegear.com/article/conversion_metrics.htm

    Jackson, S. About Web site conversion rates. Retrieved Feb 20, from: http://content.websitegear.com/article/conversion_rate.htm
    Description: 碩士
    國立政治大學
    資訊管理學系
    103356031
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0103356031
    Data Type: thesis
    Appears in Collections:[資訊管理學系] 學位論文

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