»ùÓÚJavaµÄ¶¯ÂþÍøÕ¾µÄÉè¼ÆÓëʵÏÖ±ÏÒµÂÛÎÄ

±±¾©Óʵç´óѧ±ÏÒµÉè¼Æ

²Î¿¼ÎÄÏ×

[1] ÕÅТÏé,ÐìÃ÷»ª. Java»ù´¡Óë°¸Àý¿ª·¢Ïê½â. Ç廪´óѧ³ö°æÉç, 2009 [2] Ñîѧè¤,¸ßÁ¢¾ü. Èí¼þ¿ª·¢¹ý³ÌÓëÏîÄ¿¹ÜÀí. µç×Ó¹¤Òµ³ö°æÉ磬2008 [3] ÀèÁ¬Òµ,Íõ»ª,ÀîÊç´º. Èí¼þ²âÊÔÓë²âÊÔ¼¼Êõ. Ç廪´óѧ³ö°æÉ磬2009 [4] James D. McCaffreyµÈ. NETÈí¼þ²âÊÔ×Ô¶¯»¯Ö®µÀ[M]. µç×Ó¹¤Òµ³ö°æ

Éç, 2007

[5] ÕÅ´ó·½,ÀîçâµÈ. Èí¼þ²âÊÔ¼¼ÊõÓë¹ÜÀí[M]. ºþÄÏ´óѧ³ö°æÉ磬2007 [6] ÕÅÎľ²,ÁÖç÷. JSP³ÌÐòÉè¼Æ. ÈËÃñÓʵç³ö°æÉç, 2005

[7] ËïÎÀÇÙ,Àîºé³É. TomcatÓëJava Web¿ª·¢¼¼ÊõÏê½â. µç×Ó¹¤Òµ³ö°æ

Éç, 2005

[8] (ÃÀ)H.M.Deitel,P.Jdeitel. Java³ÌÐòÉè¼Æ½Ì³Ì(µÚÎå°æ). Ç廪´óѧ³ö

°æÉç, 2004

[9] (ÃÀ)Elliotte Rusty Harold. Java Network Programming. ¶«ÄÏ´óѧ³ö

°æÉç, 2005

[10](ÃÀ)John J.Patrick. SQL»ù´¡(µÚ¶þ°æ). Ç廪´óѧ³ö°æÉç, 2004

[11] Jonathan W.Palmer. Web Site Usability,Design,and Performance

Metrics.Information Systems Research, 2002

[12] Deborah E.Rosena,Elizabeth Purintonb. Website design:Viewing the

web as a cognitive landscape. Journal of Business Research, 2004

34

±±¾©Óʵç´óѧ±ÏÒµÉè¼Æ

Ö л

ÎÒÔÚÉè¼Æ£¨ÂÛÎÄ£©ÆÚ¼ä¶¼ÊÇÔÚËÕСÈñÀÏÊ¦È«Ãæ¡¢¾ßÌåÖ¸µ¼ÏÂÍê³É½øÐеġ£ËÕÀÏʦԨ²©µÄѧʶ¡¢ÃôÈñµÄ˼ά¡¢ÃñÖ÷¶øÑϽ÷µÄ×÷·çʹѧÉúÊÜÒæ·Çdz£¬²¢ÖÕÉúÄÑÍü¡£

Ò²¸Ðл·ëÐã·¼ÀÏʦµÈÔÚ±ÏÒµÉè¼Æ¹¤×÷ÖиøÓèµÄ°ïÖú¡£

ͬʱÎÒÒ²Òª¸ÐлÕâËÄÄêÖкÍÎÒ·çÓêÓë¹²£¬»¥Ïà°ïÖú£¬»¥Ïà·ö³ÖµÄÐíÐí¶à¶àµÄͬѧ¡¢ÅóÓÑÃÇ¡£Ï×ÉÏÎÒ×îÉîÇеĸÐл£¬×îÕæÖ¿µÄ×£¸£¡£

ÔÚ21ÊÀ¼Í£¬ÈËÃǶÔδÀ´ÓÐ×ÅÐí¶àÃÀºÃµÄÔ¸ÍûºÍÉèÏë¡£ÏÖ´ú¿ÆÑ§¼¼ÊõµÄ·ÉËÙ·¢Õ¹£¬¸Ä±äÁËÊÀ½ç£¬Ò²¸Ä±äÁËÊÀ½çµÄÉú»î¡£×÷ΪÐÂÊÀ¼ÍµÄ´óѧÉú£¬ÎÒÓ¦µ±Õ¾ÔÚÊÀ½çµÄ·¢Õ¹Ç°ÁУ¬ÕÆÎÕÏÖ´ú¿ÆÑ§¼¼Êõ֪ʶ£¬µ÷Õû×Ô¼ºµÄ֪ʶ½á¹¹ºÍÄÜÁ¦½á¹¹£¬ÒÔÊÊÓ¦Éç»á·¢Õ¹µÄÒªÇó¡£ÐÂÊÀ¼ÍÐèÒª¾ßÓзḻÏÖ´ú¿ÆÑ§ÖªÊ¶¡¢Äܹ»¶ÀÁ¢½â¾öÃæÁÙÈÎÎñ¡¢Óд´ÐÂÒâʶµÄÐÂÐÍÈ˲š£ÎÒ»áÔÚÒÔºóµÄ¹¤×÷ºÍѧϰÖв»¶ÏÍêÉÆ×Ô¼º£¬ÎªÎÒ×îÈȰ®µÄĸУÕù¹â£¬Îª×Ô¼º·­¿ª»Ô»ÍµÄÐÂÆªÕ¡£

35

±±¾©Óʵç´óѧ±ÏÒµÉè¼Æ

ÍâÎÄÔ­ÎÄ

Introduction

By whatever measure used, the web is big. The majority of American homes now have computers, 64% of Americans age 12 or older have used the Internet in the past year (CyberAtlas, 2000), and retail sales are projected to reach US$74 billion by 2002 (Forrester Research, 2001). It is, then, no small wonder that most companies feel that they need at least some level of web presence today. The question facing all companies contemplating web initiatives is how to build a successful website.

Amazon has raised and spent millions of dollars on building and maintaining their site, and creating the Amazon brand. During its heyday, Amazon¡¯s valuation was attributed, at least in part, to its ability to capture and hold their customers¡¯ attention. As a result, many e-retailers adopted the Amazon web design format when developing their own sites. By contrast, traditional retailers going online provide an alternative to the Amazon model. Their tendency is to transfer what works in the brick-and-mortar world to the Internet. However, even the seasoned retailers (e.g., Disney) are finding it difficult to create the right formula to succeed online (Couzin, 2000).

With the increasing number of companies taking advantage of the Internet, it is important to understand what drives utilization of one site over another. A recent study by Forrester Research indicates that high-quality content, ease of use, speed and frequency of updating are the top four factors contributing to repeat visits (Numbers, 1999). Yet, another study of 50 shopping sites run by US andUK retailers indicated a failure to satisfy the customer¡¯s shopping experience on at least some of these dimensions (Kane, 1999).

While an understanding of marketing strategies that attract visitors to websites is beginning to emerge (e.g., Schwartz, 1996), how to convert web surfers to repeat visitors through effective web design is a less well-understood phenomenon. Practitioners¡¯ advice on site design and content abound and is often conflicting. The research presented in this paper suggests that one way to assist in the development of effective web designs is to examine the web from the perspective of cognitive psychology.

36

±±¾©Óʵç´óѧ±ÏÒµÉè¼Æ

The work of environmental psychologists, Rachel Kaplan and Stephen Kaplan, provides a means of understanding how to facilitate the interactive experience through the concept of a cognitive environment. Kaplan and Kaplan view environments as providing information in many ways¡ªthrough signs, icons, with or without words. Their studies apply cognitive psychology to the design of physical landscapes. Through their research, they have found that informational needs influence preferences for certain landscapes. People both want to make sense of and get involved in their landscapes. By utilizing principles from cognitive psychology, Kaplan and Kaplan have demonstrated that it is possible to develop landscapes, which facilitate sense making and involvement.

In many ways, designing effective web content is very similar to designing a physical landscape. Computer interaction is intensely cognitive involving perceptions and preferences. Interactivity implies not only perceiving the web landscape, but also entering into it and ¡®¡®experiencing¡¯¡¯ the space

In an attempt to develop a better understanding of what constitutes high-quality web content (i.e., design which facilitates revisit and purchase), the authors propose the Website Preference Scale (WSPS) as a way to assess effective web design based on the perspective that a website is a cognitive landscape. After a brief discussion of web content, Kaplan and Kaplan¡¯s application of cognitive psychology to physical landscapes (the Preference Framework) is presented. The Preference Framework is then extended to the web

environment. An exploratory study designed to develop the WSPS is then presented. Finally, conclusions and a future program of research are discussed. Web content

Research has repeatedly demonstrated that the sensory shopping experience contributes to making the sale and building customer relationships for the brick-and-mortar retailer. Further, there is evidence that sensory stimuli such as music, color and lighting can influence the amount of time and money which a shopper spends in a retail establishment (e.g., Herrington and Louis, 1994). For the eretailer, the sensory shopping experience must be played out on the template of the web page.

Thus far, two of the most common ways used to measure website effectiveness are the

37

±±¾©Óʵç´óѧ±ÏÒµÉè¼Æ

number of ¡®¡®eyeballs¡¯¡¯ or clickthroughs. These measures merely capture how effective the firm¡¯s strategy is in regards to driving traffic to the site. To measure how effective a site is in terms of developing an appropriate e-retail sensory environment requires measuring the attitude toward the site design and intention to revisit. In the case of a site designed for retail sales, purchases would be an additional measure. In the study presented in this paper, the focus is on attitude towards the site design and intention to revisit.

Website design presents a new challenge for marketers conversant in print media. Unfortunately, many companies have taken what they developed for other media (magazine advertisements, catalogues, etc.) and applied it directly to their website (e.g.,

www.pathfinder.com). Others involved in web page design believe that the theories that have evolved for effective use of print media do not transfer well to the web. For example, when designing ads for a newspaper, one has a large canvas to work with which lends itself to striking, intricate designs. Yet, newspaper layout does not transfer to the web as a computer screen cannot handle the same volume of information effectively (Nielsen, 1999). Consequently, simplicity of design has become the mantra of some web design gurus. Many elements of design and graphic art can be used to convey content on the web. The choices are truly endless. Elements of space, use of images, size of images, use of animation and/or audio, number of words per line, color and size of characters are among just a few of these factors. Additionally, the work of content design does not stop with selecting the appropriate elements for the particular audience. Content design also involves deciding on the placement of those elements to facilitate their use. The Preference Framework of Kaplan and Kaplan (1982) and Kaplan et al. (1998) provides a means of sorting out these many options and designing an effective web landscape. Cognitive landscapes

The work of Rachel Kaplan and Stephen Kaplan now spans several decades. Their research examines physical environments in an attempt to develop patterns for environmental designs that incorporate the end users¡¯ use of environmental cues, thus, making it easier for people to process information and function effectively.

Kaplan and Kaplan¡¯s research is also predicated on the love¨Chate relationship that people

38

ÁªÏµ¿Í·þ£º779662525#qq.com(#Ìæ»»Îª@) ËÕICP±¸20003344ºÅ-4