Big Data Influencing Internet Marketing Performance - The Case Study of Fastener Industry in Taiwan

碩士 === 國立高雄應用科技大學 === 國際企業系碩士在職專班 === 105 === As the implementation of Internet marketing increasingly complex, the use of online marketing to expand the export market is increasingly difficult, at this stage has been unable to use the past experience to achieve the desired benefits, but the previou...

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Bibliographic Details
Main Authors: Lee, Ya-Tzu, 李雅姿
Other Authors: Lee, Wei-Long
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/ztv9te
Description
Summary:碩士 === 國立高雄應用科技大學 === 國際企業系碩士在職專班 === 105 === As the implementation of Internet marketing increasingly complex, the use of online marketing to expand the export market is increasingly difficult, at this stage has been unable to use the past experience to achieve the desired benefits, but the previous study only proposed corporate website optimization(Search Engine Optimization, SEO)can improve the ranking of search engine results, so that the site exposure increased(Amerland, 2013;Mo, 2010), However, it has not proposed an increase in the amount of exposure on the Internet, has not been favored by the buyer and not increase the order of the relevant factors. Therefore, the purpose of this study is to explore a beforehand information analysis as the marketing guide. Prior to the execution of the online marketing strategy, it should identify the countries with high demand by analyzing the buyer behavior data. Therefore, export manufacturers can focus on marketing budget in the local development of customers, thus affecting the export performance. This paper, the data collection using the quantitative and quantitative (Mixed Methods Research), First from the global network of large data in the screening of the product needs of the buyer country, and then compared to the actual purchase of the buyer data, adjust the development of the countries, and remove buyers who do not use the web media channel. This study found helpful: First, understand the relationship between the needs of buyers and orders. Second, screening for the network marketing country. Third, uses large data analysis buyers orders willing, this will enhance the effectiveness of network marketing and corporate competitiveness.