外文翻譯--物流在電子商務交易中的角色（節(jié)選）

1、<p>　　2600單詞，14500英文字符，4700漢字</p><p>　　出處：Ramanathan R, George J, Ramanathan U. The Role of Logistics in E-commerce Transactions: An Exploratory Study of Customer Feedback and Risk[M]// Supply Chain Str

2、ategies, Issues and Models. Springer London, 2014:221-233.</p><p><b>　　原文 </b></p><p>　　The Role of Logistics in E-commerce Transactions: An Exploratory Study of Customer Feedback an

3、d Risk</p><p>　　Ramakrishnan Ramanathan, Joseph George，Usha Ramanathan</p><p>　　1 Introduction </p><p>　　E-commerce has shown impressive growth in the last few years. For examp

4、le, according to the survey of the UK Office for National Statistics, Internet sales by UK businesses rose to £222.9 bn in 2008 which was 9.8 % of the total value of all sales by nonfinancial sector businesses and a

5、n increase of 36.6 % on the 2007 Internet sales figure. </p><p>　　The role of logistics services has evolved as e-commerce grew. When online shopping business started growing, many prophesied that it was the

6、 end of the road for many of the intermediaries, who were dominant in traditional supply chains, as more and more suppliers and manufacturers were likely to prefer selling direct to customers in order to reduce delivery

7、time, costs, and compete in the online market (Lancioni et al. 2000; Yankelovich 2000). This meant that most of the business for logistics </p><p>　　Several studies have stressed the importance of various op

8、erational factors, including factors related to logistics performance, in determining overall performance of a seller or an e-tailer (Sum et al. 2001). The importance of quality of physical distribution in the “l(fā)ast-mile

9、” of e-commerce has been stressed (Lee and Whang 2001; Rabinovich and Bailey 2004). E-commerce, especially the B2C segment, is typically characterized by large numbers of small order sizes demanding shipments with a diff

10、er</p><p>　　Risk plays an important role in businesses and is considered more important in online transactions than normal offline transactions (Massad and Tucker 2000). Though there is a huge literature stu

11、dying risk (e.g., Hofacker2000; Miyazaki and Fernandez 2001; Finch 2007), there are not many studies that looked at the role of risk on the importance of logistics service in the e-commerce context. We take up this impor

12、tant research issue in this paper. Specifically, we study how the importance of logis</p><p>　　The rest of the paper is organized as follows: It starts with a brief description of e-commerce along with the o

13、ther literature relevant to logistics and risk in e-commerce. Our research hypothesis is established with reference to the existing literature in this section. Research methodology and analysis are detailed in Sect. 3. S

14、ection 4 discusses the analyses. Section 5 summarizes our research findings and discusses managerial implications. Section 6concludes the paper with limitations and fut</p><p>　　2 Literature Survey and Resea

15、rch Hypothesis </p><p>　　The Role of Logistics Performance in E-commerce </p><p>　　While the role of logistics on firm performance has been well researched in a traditional context (e.g., Morash

16、 and Clinton 1997; Wisner 2003), this topic has received relatively less attention in e-commerce context (Gunasekaran et al. 2007). Traditionally, logistics services are built to facilitate efficient flow of goods, infor

17、mation, and cash. This linear relationship is said to have been broken in the e-commerce context, but Rabinovich and Knemeyer (2006) have highlighted that this is not th</p><p>　　Logistics plays a very impor

18、tant role in ensuring customer satisfaction. The factors related to logistics are experienced by customers after making payments, and are often grouped as one of the postpurchase factors. Studies have found that customer

19、s generally consider physical delivery as a very important factor (Esper et al.2003; Agatz et al. 2008) and that logistics capability is positively associated with firm performance over the Internet (Cho et al. 2008). Mu

20、ch has been written about this “</p><p>　　Late arrival of the product would often make customers wait for the product with compounded anxiety levels. Logistics performance mainly deals with delivery speed an

21、d reliability but several studies have also included responsiveness, communication, order handling, and distribution (e.g., Cho et al. 2008) in the scope of logistics. In general, logistics performance can be improved by

22、 employing multichannel distribution, and most multichannel e-tailers offer online consumers the option to return p</p><p>　　In spite of the rich literature on the role of logistics in physical distribution,

23、 a detailed look at the studies on the role of logistics in e-commerce reveals that they have not considered how the importance of logistics varies depending on risk characteristics of products. However, there is evidenc

24、e that risk plays a significant role in e-commerce and risk characteristics of products could affect the role of logistics in ensuring customer satisfaction. We review some important studies on risk</p><p>　

25、　2.1 Risk on Consumer Behavior in E-commerce </p><p>　　While it has been recognized that perceived risk plays a very significant role in influencing consumer behavior especially in e-commerce transactions, t

26、here does not seem to be many studies that analyzed the impacts of risk. Massad and Tucker (2000) have provided a comparative study of online and offline (or traditional) bidding behaviors. Following the classification o

27、f risk by Hofacker (2000), they have proposed that price comparison risk is higher in traditional auction, while four other type</p><p>　　In this research, we use an interesting new framework suggested for d

28、eciding risk classification by Finch (2007). As per this perspective, the risk characteristic of a product is a function of its price and ambiguity. Finch (2007) has provided a detailed empirical testing on the behavior

29、of online consumers of auction environment based on risk classifications of Massad and Tucker (2000). He has proposed that the risk exposure was determined both by the amount (price) paid and the degree to which</p>

30、;<p>　　3 Research Methodology </p><p>　　3.1 Data Collection </p><p>　　In this research, we have used customers’ feedback from eBay. The online auction site, eBay, was founded in 1995 and

31、is well-known as the world’s best auction engine or marketplace. It has operations in 37 countries with a total customer base of 233 million. The second author has collected data from eBay’s UK website, which is the UK’s

32、 largest online market with more than 14 million active users and more than 10 million items on sale at any given time. A significant number of users utilize eBay </p><p>　　3.1.1 Data Collection Strategy <

33、;/p><p>　　We have collected our data from e-Bay during the summer of 2008. At the end of a transaction on eBay, the buyer rates the seller with a feedback, which could be positive, negative, or neutral. The fee

34、dback is not necessarily only based on the product characteristics; it frequently stresses the service attributes of the entire transaction. Such feedbacks have been collected to interpret the customer’s/buyer’s satisfac

35、tion level. Each feedback has been read and converted into a quantitative form b</p><p>　　The first three categories together form the service-only category. Of these three, the first two are related to logi

36、stics (transport and delivery). </p><p>　　3.1.2 Risk Characterizations </p><p>　　As mentioned earlier, we are interested in understanding how the importance of logistics varies depending on the

37、risk characteristics of the products involved in ecommerce transactions. Based on Finch (2007), we have characterized risk of a product in the form of price and ambiguity. High-price products with high ambiguity (HPHA) a

38、re classified as high-risk products, and low-price products with low ambiguity (LPLA) are classified as low-risk products. The other two products such as high price wi</p><p>　　Low price products are defined

39、 in this study as products below £100 and high price products were those costing above £200. In the low-price low-ambiguity category, DVDs, comics, video games, and accessories and computing accessories were co

40、nsidered. In the high-price low-ambiguity category, laptops, digital cameras, and other electronics were considered. In the high-ambiguity category, products such as antiques (wooden and oriental), paintings, art, potter

41、y, and coins were considered. Based on t</p><p>　　For each of the product categories, effort was made to ensure that the sellers selected were active with significant activity levels in the past few months.

42、This could be confirmed by the number of customer feedbacks within the past 90 days (from June to August 2008). Only the latest 25–100 feedbacks were considered for each seller.</p><p>　　3.2 Interpretation o

43、f Feedback Data. </p><p>　　The following strategy was adopted for interpreting customer feedback. Feedback such as thank you and excellent eBayer were considered as nonspecific. </p><p>　　Feedba

44、ck such as excellent item, product met expectations, and excellent product price were classified as product-only. Fast and excellent condition and great transaction were considered to be both product and service related.

45、 Fast and well packed was put into the service-only category under the subcategory of delivery speed and others, while comments such as excellent service and great communication were placed in the other services subcateg

46、ory. </p><p>　　This data interpretation process can be more easily understood with the help of Table 1, which gives examples of a few customer feedback data being converted into quantitative data. </p>

47、<p>　　As mentioned earlier, we have collected 1000 positive feedback ratings for each of the four product categories (therefore, 4000 in all) and the ratings were classified into one of the earlier mentioned six c

48、ategories. </p><p>　　4 Analysis and Results </p><p>　　We have conducted data analyses in two stages. In Stage 1, we have first verified whether there is a significant difference in the frequency

49、 of logistics-related, other service-related and product-related feedbacks across the three risk categories. We have employed the Chi square test for this purpose of analysis. Stage 2 was based on the results of Stage 1

50、to check if the frequency of feedbacks is higher or lower for different categories. </p><p>　　5 Discussion and Managerial Implications </p><p>　　While there are studies on the importance of logi

51、stics and on the influence of risk in e-commerce transactions, there seems to be no study that combines these two important research avenues. The present study has contributed to the literature by filling this gap by pro

52、viding risk perspective on the importance of logistics in online transactions. Drawing on positive feedbacks of buyers in eBay transactions, this study has found that logistics-related feedbacks are more frequent for low

53、-risk produ</p><p>　　Our study has interesting practical implications to managers of online businesses. Logistics performance contributes to satisfaction of online customers more for low-risk products than f

54、or high-risk products. We interpret this result as support for customers being more attentive to logistics performance in the case of low-risk products. For low-risk products (low price and low ambiguity), customers do n

55、ot usually spend much time on researching the product, order the product, and expect that the </p><p>　　Though they also expect that the product be delivered as per the original specification and at the prom

56、ised time, customers buying high-risk products seem to provide lesser importance to logistics compared to other features of the product. This result agrees well with the literature. For example, Finch (2007) has found se

57、rvice-oriented attributes receive higher priority for low-risk products, while product-oriented attributes receive higher priority for high-risk products. </p><p>　　Managers of e-commerce websites can use ou

58、r results to provide optimal level of logistics service for their products. Logistics performance attributes such as fast shipping and communication will be important for low-risk products, and will contribute to the fav

59、orable service perception of customers. However, for high-risk products, customers may not attach performance in terms of delivery time or communication at very high importance, and any special efforts and money spent on

60、 this may not nece</p><p><b>　　譯文 </b></p><p>　　物流在電子商務交易中的角色:一個關于客戶反饋和風險的探索性研究</p><p>　　羅摩克里希納·拉馬納坦;盧頓路，貝德福德郡</p><p><b>　　1 引言 </b></p&

61、gt;<p>　　在過去的幾年里，電子商務已經(jīng)得到了飛速地發(fā)展，令人印象深刻。例如，根據(jù)英國國家統(tǒng)計局的調(diào)查，2008 年，英國企業(yè)的互聯(lián)網(wǎng)銷售額上升到了£2229億，占到非金融行業(yè)企業(yè)總價值的 9.8%，與 2007 年互聯(lián)網(wǎng)銷售數(shù)字相比，銷售增加了 36.6%。 </p><p>　　物流服務在電子商務的發(fā)展中扮演著重要的作用。當網(wǎng)上購物業(yè)務開始增長時，許多人預言說這是許多中介的路的盡

62、頭，因為他們主要在傳統(tǒng)的供應鏈中有支配權，隨著越來越多的供應商和制造商改變了營銷觀念，為了減少交貨時間和成本，他們可能會更喜歡直接將商品賣給客戶，參與在線市場的競爭(蘭索妮等人，揚克洛維奇 2000)。這意味著大多數(shù)物流服務提供商的業(yè)務將是主要局限于網(wǎng)上購物訂單周期的“最后一英里”。然而，這并沒有成為處理網(wǎng)上購物的一個范例，物流服務提供商見證了電子商務商業(yè)的巨大增長 (拉比諾維奇和貝利2004)。本文的重點是研究電子商務交易中的物流服務

63、提供者的角色。 </p><p>　　一些研究已經(jīng)強調(diào)了各種操作因素的重要性，包括與物流績效有關的因素，在確定賣方的總體績效或電子商務零售商(薩姆等 2001 年)。(李和王 2001;拉比諾維奇和貝利 2004)強調(diào)了物流在電子商務的“最后一英里”的運輸配送質(zhì)量的重要性。電子商務，特別是在 B2C 領域，通常表現(xiàn)為大量的小訂單，與實體業(yè)務相比，要求有不同的分銷系統(tǒng)，物流由此為電子商務提供了更大范圍的作用。大家都

64、相信，電子商務為第三方物流(3 pl)服務提供者提供了新的機遇，以及隨著電子商務的持續(xù)增長，物流的重要性也將增加(克羅爾 1999)。 </p><p>　　風險在商業(yè)中扮演著一個重要的角色，與線下交易相比，在線上交易中被認為是更重要的 (馬薩德和塔克 2000)。雖然，存在一個巨大的文獻研究風險(如:荷菲克 2000;費爾南德斯 2001;芬奇 2007), 對于物流服務在電子商務背景下的風險作用的重要性研究并

65、不多。我們選擇這個重要的研究問題，具體地說，我們研究物流績效的重要性是如何受到通過電子商務銷售網(wǎng)站賣出的商品的風險特征影響的，我們使用的是 eBay 的客戶反饋信息。 </p><p>　　本文的其他內(nèi)容組織如下:首先簡要描述了電子商務，以及物流和電子商務所面臨的風險的其他相關文獻。我們的研究假設是建立在這一節(jié)中現(xiàn)有的文獻研究中的。研究方法和詳細分析位于第三節(jié)。第四節(jié)進行了討論分析。第五節(jié)總結(jié)我們的研究結(jié)果和討論

66、啟發(fā)。第六節(jié)總結(jié)本文的局限性，以及對未來的研究進行展望。 </p><p>　　2 文獻研究和研究假設 </p><p>　　物流在電子商務中的作用 </p><p>　　物流對公司業(yè)績的作用在傳統(tǒng)的文獻中已經(jīng)被很多專家學者們所研究。(例如:幕什和克林頓 1997; 威斯納 2003)，在電子商務背景下，這個主題受到的關注相對較少(古納斯卡昂等 2007 年)。傳統(tǒng)

67、上，物流服務促進了商品、信息和現(xiàn)金的高效流通。而在電子商務背景下，這種線性關系被打破了，但拉比諾維奇和科邁爾(2006)強調(diào)，過去十年發(fā)生的相關事件并不能成為證據(jù)。根據(jù)他們的說法，物流服務提供商的重要性在電子商務市場增加了。 </p><p>　　物流在確?？蛻魸M意度方面起著非常重要的作用。當客戶付款后，就會體驗到與物流相關的因素，并經(jīng)常會影響到客戶的購買，好的物流服務會成為成功銷售的因素之一。研究發(fā)現(xiàn)，消費者普

68、遍認為實物交割是一個非常重要的因素(埃斯珀等 2003;安佳慈等 2008 年) 電子商務背景下，物流能力是與公司績效呈正相關的( 2008 年)。目前已經(jīng)有很多關于這個“最后一英里”的網(wǎng)絡供應鏈(埃斯珀等 2003;高爾等 2007;李 2001)。與實體商店相比，客戶更偏愛選擇把自己大部分的交易產(chǎn)品，通過互聯(lián)網(wǎng)，使用物流渠道交付產(chǎn)品?？蛻舫霈F(xiàn)不滿的重要來源要么由于遲到或未到的產(chǎn)品，或是由于損壞的產(chǎn)品。 </p><

69、;p>　　遲到的產(chǎn)品往往會加劇客戶等待產(chǎn)品的焦慮水平。物流績效主要是保證交付速度和可靠性，但一些研究也包括響應能力、溝通、訂單處理和配送物流的范圍 (如:趙等人 2008 年)。一般來說，可以通過采用多渠道配送提高物流績效，大多數(shù)電子零售商通過在線商店為在線消費者購買產(chǎn)品提供多種配送渠道，這是極大地重視客戶(阿特茲等 2008 年)。電子商務物流平臺實現(xiàn)由物流結(jié)構(gòu)(如:直接銷售或通過配送中心)、物流過程(如:訂單處理、儲存、包裝和

70、運輸)和系統(tǒng)的信息和報告等組成(奧爾丁和斯塔勒 2003)。 </p><p>　　盡管研究物流在是配送中作用的文獻非常多，但詳細研究物流在電子商務中的作用的研究則不多，他們沒有意識到如何根據(jù)不同風險特征的產(chǎn)品考慮物流的重要性。然而，有證據(jù)表明，風險在電子商務中起著重要的作用，在確?？蛻魸M意度方面，產(chǎn)品的風險特征可能會影響物流的作用。我們將在下一節(jié)研究電子商務的一些重要風險。 </p><p&

71、gt;　　2.1 電子商務中消費者行為的風險 </p><p>　　雖然大家都已經(jīng)認識到在影響消費者行為尤其是在電子商務交易中，預測風險起著非常重要的作用，但是似乎分析風險的影響這方面的研究并沒有很多。馬薩德和塔克(2000)提供了一個線上和線下(或傳統(tǒng))招標行為的比較研究。荷菲柯(2000)已經(jīng)提出，價格相比于傳統(tǒng)拍賣，風險較高，而其他四個類型的風險(時間風險、供應商風險、安全風險、隱私風險和性能風險)需要更高

72、的網(wǎng)絡環(huán)境。宮崎駿與費爾南德斯(2001)發(fā)現(xiàn)，如果具備更高水平的互聯(lián)網(wǎng)體驗，那么感知在線交易的風險可能會減少。都林等人(2005)，在新西蘭利用互聯(lián)網(wǎng)進行調(diào)查，發(fā)現(xiàn)了感知風險感知的好處，網(wǎng)上購物與網(wǎng)上購物的數(shù)量和頻率。林(2003)確定了網(wǎng)上購物的四種風險來源:技術、供應商、消費者和產(chǎn)品。拉克 等人(2006)發(fā)現(xiàn)，在線用戶在預定一個服務前，正進行個人風險評估。 </p><p>　　在本研究中，我們使用芬奇于

73、 2007 提出的一個有趣的新框架確定了風險分類。按這個角度看，產(chǎn)品的風險特征是一個價格和歧義的函數(shù)。芬奇(2007)提供了一個詳細的實證測試，基于風險分類下的在線消費者行為研究，(馬薩德和塔克 2000)。他提出了通過支付的金額(價格)和程度可以準確地描述產(chǎn)品(歧義)。通過收集和分析 1000 個客戶的反饋信息，他發(fā)現(xiàn)面向服務質(zhì)量的維度可能會比低風險類別得到更高的重要性和面向產(chǎn)品質(zhì)量維度可能比高風險類別會得到更高的重要性。 </

74、p><p>　　然而，回顧先前可用的相關的文獻表明，沒有人研究產(chǎn)品風險與物流的。人 們普遍認為物流因素，本質(zhì)上是面向服務的。因此，在缺乏其他特定物流風險影響因素研究的背景下，我們將擴展芬奇(2007)的研究成果，并提出了以下假設。 研究假設:在電子商務交易中，物流對低風險產(chǎn)品的重要性比風險較高的產(chǎn)品的重要性會更高。 </p><p><b>　　3 研究方法 </b>&l

75、t;/p><p>　　3.1 數(shù)據(jù)的收集 </p><p>　　在本研究中，我們使用從 eBay 獲得的客戶反饋信息。在線拍賣網(wǎng)站 eBay，成立于 1995 年，是世界上最好的著名引擎或拍賣市場。它已經(jīng)在 37 個國家擁有共 2.33 億的客戶基礎。第二個作者收集的數(shù)據(jù)主要來自英國 eBay 的網(wǎng)站，這是英國最大的在線市場，擁有超過 1400 萬的活躍用戶，超過 1000 萬件銷售產(chǎn)品，在任

76、何給定的時間可以為客戶提供購買服務。大量的用戶利用 eBay 作為他們的主要或次要的收入來源(eBay 全球 2008)。 </p><p>　　3.1.1 數(shù)據(jù)收集策略 </p><p>　　我們收集的數(shù)據(jù)來源于 ebay 2008 年的夏天的營銷數(shù)據(jù)。在 eBay 交易的最后，買方會對賣方進行一個反饋，這可能是積極的、消極的或中性的?？蛻糇龀龅姆答佇畔⒉⒉灰欢ㄖ皇敲枋霎a(chǎn)品的特征;它也會

77、經(jīng)常強調(diào)整個交易的服務品質(zhì)。這樣收集的反饋信息能夠體現(xiàn)客戶/買方滿意的水平。每個反饋被讀取和轉(zhuǎn)換為定量形式，分類成以下六大類: </p><p>　　(1)交貨速度/及時性 (2)交付速度/及時性和其他服務等因素排序，挑選、包裝、溝通、訂單跟蹤等。 (3)其他服務因素(不包括交付速度/及時性) (4)產(chǎn)品 (5)產(chǎn)品和服務相關 (6)非特異性 </p><p>　　前三個類別一起構(gòu)成服務范

78、疇。這三個中，前兩個是物流相關的(運輸和交付)。 </p><p>　　3.1.2 風險特征 </p><p>　　正如前面所提到的，我們有興趣了解隨著商業(yè)交易中產(chǎn)品的風險特征而變化的物流的重要性。基于芬奇(2007)的研究，我們將風險按照產(chǎn)品的價格和歧義來進行分類。高價高歧義(HPHA)的產(chǎn)品被列為高風險產(chǎn)品，以及低價低歧義 (LPLA) 的產(chǎn)品被列為低風險產(chǎn)品。另外兩種產(chǎn)品，如高價格和

79、低歧義(HPLA)的產(chǎn)品和低價格高歧義(LPHA)的產(chǎn)品，則被列為中等風險的產(chǎn)品。因此，我們已經(jīng)分類了三種風險類型的產(chǎn)品，高風險、中等風險和低風險。 </p><p>　　在本研究中，低價格產(chǎn)品的定義為低于£100 的產(chǎn)品，高價格的產(chǎn)品是那些花費超過£200 的產(chǎn)品。在低價低歧義的類別里，DVD、漫畫、視頻游戲、配件和計算機配件都是這一類的。在高價低歧義類別里，筆記本電腦、數(shù)碼相機和其他電子產(chǎn)

80、品都是的。在高歧義類別的產(chǎn)品里，主要是如古董(木和東方)、繪畫、藝術、陶器、和收藏硬幣等等。基于高歧義產(chǎn)品的價格區(qū)間的變化，賣家被分為低價高歧義和高價高歧義兩者中的一種。我們選擇這些產(chǎn)品類別，來表示 對高危人群的定義與芬奇(2007)的研究是一致的。我們已經(jīng)為這四個產(chǎn)品類別中的每一類，都收集了 1000 個積極的反饋評級 (因此，總共有 4000 個)。積極的反饋評價提供了一種很重要的，并且符合先前學者的研究(例如芬奇 2007)。 &

81、lt;/p><p>　　對于每個產(chǎn)品類別來說，如果選擇合適的賣家，則要努力確保賣方在過去的幾個月里有重大活躍水平的活動。這可以通過在過去的 90 天客戶反饋的數(shù)量 (從 6 月到 2008 年 8 月)來證實。只有最新的 25 – 100 個樣本反饋，會考慮每一個賣家。 </p><p>　　3.2 對反饋數(shù)據(jù)的解讀 </p><p>　　接下來介紹為了解釋客戶的反饋信

82、息而采用的策略。反饋信息，如:謝謝你和優(yōu)秀的易趣賣家，這些信息被認為是特定的。 </p><p>　　反饋信息中，如優(yōu)秀的商品,產(chǎn)品符合預期,和優(yōu)秀的產(chǎn)品價格?？焖俸土己玫臈l件都被認為與相關的產(chǎn)品和服務交易有關?？焖僖约巴昝赖陌b，被置于服務類別下的子類別，交貨速度中，而優(yōu)質(zhì)的服務和強大的溝通等評論則被放置在其他服務子類。 </p><p>　　在表 1 的幫助下，該數(shù)據(jù)的解釋過程可以更容

83、易地理解，這讓一些客戶反饋的例子數(shù)據(jù)可以轉(zhuǎn)化為定量的數(shù)據(jù)。正如前面所提到的,我們已經(jīng)收集了 1000個為每個產(chǎn)品類別的積極的反饋評價(因此,總共有 4000 個)，以及評級被分為之前提到的六大類之一。 </p><p><b>　　4 分析和結(jié)果 </b></p><p>　　我們分兩個階段對數(shù)據(jù)進行了分析。在第一階段，我們首先驗證了物流有關 的頻率、產(chǎn)品和服務的其他

84、有關反饋信息是否有顯著的差異。為此我們采用卡方檢驗分析法。第二階段則是基于第一階段的結(jié)果,以檢查不同的類別的反饋頻率是高或是低。 </p><p>　　5 討論和管理中的啟示 </p><p>　　雖然有部分研究了物流的重要性在在電子商務交易中的重要性，以及電子商務交易中的風險,但是似乎到目前為止，還沒有研究將這兩者結(jié)合起來研究。因此，本文的研究可以填補這一空白,從風險角度出發(fā)研究電子商務

85、物流的重要性。利用 eBay 交易中買家的積極反饋,本研究發(fā)現(xiàn),相比于高風險產(chǎn)品(以高價格和高歧義)，對低風險產(chǎn)品(以低價格和低歧義)的物流反饋信息更加頻繁。我們的研究同意芬奇在 2007 年的研究發(fā)現(xiàn),他發(fā)現(xiàn)服務導向的因素,還包括物流服務)在低風險類別中表現(xiàn)出了更高的重要性。 </p><p>　　我們的研究對在線業(yè)務的經(jīng)理來說，有很大的實際意義。物流服務績效水平能夠顯著提高在線客戶的滿意度，特別是低風險產(chǎn)品比

86、高風險產(chǎn)品的客戶又更高的物流服務滿意度。我們將這個結(jié)果作為支持客戶更關注低風險產(chǎn)品的物流績效的證據(jù)之一。低風險的產(chǎn)品(低價格和低歧義),客戶通常不花太多時間在研究產(chǎn)品,訂單產(chǎn)品和期望的產(chǎn)品交付上。因此,對于客戶來說，在承諾的時間內(nèi)交付正確的產(chǎn)品似乎是更重要的。另一方面,對高風險產(chǎn)品(高價格和高歧義),客戶會花相對更多的時間在閱讀產(chǎn)品的相關信息上，相對來說， 沒有低風險的產(chǎn)品更關注物流服務供應商的績效。 </p><p

87、>　　雖然他們也希望按原來的要求，在承諾的時間內(nèi)交付產(chǎn)品,相比于產(chǎn)品的其他特征，客戶購買高風險產(chǎn)品似乎更加關注物流的重要性。這個研究與之前的文獻研究發(fā)現(xiàn)相一致。例如,芬奇(2007)的研究發(fā)現(xiàn)，發(fā)現(xiàn)服務導向的因素,還包括物流服務)在低風險類別中表現(xiàn)出了更高的重要性,而產(chǎn)品屬性導向的高風險的產(chǎn)品則獲得更高的優(yōu)先級。 </p><p>　　電子商務網(wǎng)站的管理者們可以使用我們的研究結(jié)果，為他們的產(chǎn)品提供最優(yōu)的物流