The Different Attribute of Online Store- An Industrial perspective

سال انتشار: 1394
محل انتشار: نهمین کنفرانس بین المللی تجارت الکترونیک با رویکرد بر کسب و کار الکترونیکی
کد COI اختصاصی: ECDC09_021
زبان مقاله: انگلیسی
تعداد مشاهده: 940

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نویسندگان

Te-King Chien

Department of information management National Formosa University Yunlin, Taiwan

nai -chun Wang

Ten-In Food Co., Ltd CEO Chiayi, Taiwan

Kai-Chi Yang

Department of information management National Formosa University Yunlin, Taiwan

چکیده

Online stores are dramatically increasing and becoming popular, caused enterprises invest tremendous resource and effort to meet customer requirements. However, the failure rate resulting from improper operation has been increasing year by year. By investigating the main cause, it isthat the operators cannot grasp the online store websites’industry type and attribute category. Therefore, they fail to effectively use resource, show website image of the stores andinformation quality, to further meet customers’ demand and obtain the expected operational efficiency. Therefore, this research (1) grasps the website attribute of online store by reviewing literature; (2) sets up online store website attributes structure , through qualitative method, serving as abasis for enterprises to improve the operation / service mechanism; (3) sets up industry breadth and depth graph , so as tofind the website content equilibrium degree of various industries’ online store and further obtain improvement strategy. It is believed that this research result, as said by the professors and scholars being interviewed, not only assist enterprise clearly grasp advantage/disadvantage and strategy of online store websiteattribute, more accordingly promote the effectiveness in resource utilization and the probability of success. Meanwhile, this research result can also effectively link the practical application and academic value and provide researchers with new directionand field.

کلیدواژه ها

Different Industrial Type, Online store, Website Attributes, Qualitative Interviews Method, Decision Index

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