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什么是电子商务学科？

　　培养具有扎实的经济与管理等方面的基本理论。熟悉信息科学与技术的基本知识和方法，掌握电子商务系统工程的开发、应用与管理的技术和技能,具有创新精神、较强的管理能力和独立分析问题的能力，从事现代商务管理、电子商务开发、应用与管理的高级专门人才。

Information search and consideration set formation in a web-based store environment

A recent U.S. Census report shows that e-commerce sales grew at almost four times the rate of sales through traditional retail channels
(20.9% as compared to6%) during the 3rd quarter of 2006 (https://www.census.gov/mrts/www/data/html/06Q3.html).The rapid growth of online sales and web-based stores has created a need to understand how consumers search for and evaluate products while shopping online. While web-based stores offer consumers immense choice and great convenience, finding products that fit needs can sometimes be a difficult task. Hence, most web-based stores now make a "recommendation agent" or "shopbot" available to facilitate the consumer purchase process.
Electronic decision aids can assist in a variety of decision-making tasks that maybe automated. For instance, an electronic decision can help people search and evaluate products by screening and/or organizing information about available alternatives. Examples of these types of aids may be found at https://www.amazon.comandhttps://www.expedia.com.
They enable consumers to use a preferred alternative screening strategy(e.g., select flights based on “lowest price”, or books based on “publication date” and “title words”).
1.Conceptual model development
1.2.Screening strategies
1.3.Product attributes
1.4. Search costs
1.5. Task environment
2. Hypotheses

3. Summary and conclusion
Web-based choice environments are characterized by large product
assortments through which consumers seek to navigate quickly. The vast amount of product information available can overwhelm consumers particularly in the limited time they have at their disposal to process it. An electronic decision is almost essential for information processing in these environments. Our findings indicate that recommendation agents may be more effective in helping consumers make less effortful decisions. But, the findings also show that if consumers are willing to spend the extra time, they can make less effortful and more accurate decisions while using a recommendation agent. The desire to accomplish both goals has been referred to as the “paradox of choice” in a web-based store (Tamaki, 2005). The more alternatives consumers consider the more likely are they to make a better quality decision. But, considering a variety of alternatives takes time and effort.
Recommendation agents are often closely tied to the environments in which they are used because they are frequently “designed” for those environments (Olson and Widing, 2002). Thus, marketers may need to build in more “flexibility” into their recommendation agents so that they perform well under different task environment conditions (Montgomery et al., 2004). Consumers who want to make quick purchase decisions should be able to do so, as should consumers who want to me more thorough in their product selections. Anecdotal reports in the business press suggest that there is a movement toward the development of“flexible” recommendation agents, despite the increasing cost of designing such shopbots (Perez, 2002; Reda, 2002).
In conclusion, the study seeks to contribute to the expanding literature on how consumers search for and evaluate products while shopping on本论文由英语论文网提供整理，提供论文代写，英语论文代写，代写论文，代写英语论文，代写留学生论文，代写英文论文，留学生论文代写相关核心关键词搜索。