透過您的圖書館登入
IP:3.144.253.161
  • 學位論文

使用多目標準則決策探討資訊產品研發過程中的關鍵成功因素-以社群行動APP’s為例

A study of the Key Success Factors in Developing Information Products using Multiple Criteria Decision Method – an Example of Social Mobile APP’s

指導教授 : 王銘宗
若您是本文的作者,可授權文章由華藝線上圖書館中協助推廣。

並列摘要


Mobile Applications has become an important part of people’s life. ABI institute once predicted that there get to have 8 hundred million Android phone and 3 hundred million iPhone in the world at the end of 2013. The tremendous business market behinds the little smart phone. Therefore, whether mobile app wins customer’s heart is the most important thing to designer. But there’s no particular research to tell how to design mobile applications to target its best interest. If the mobile application didn’t win people’s heart, it won’t make any profit and publicity. This research focuses on the key success factors during the process of researching and Designing a mobile application. Using literature analysis, the research combined Information System Success Model and virus marketing method and social factors of theory of planned behavior and interview survey with professional to build up the KDF table. And by applying the fuzzy-Delphi method, we confirmed all the dimensions and indexes are agreed with professionals. Analyze by DANP to find out the weights of each dimension and factor. According the result, we have found out that the most important dimension is the dimension named ‘APP service quality’. Secondly, the most important factor is User promoting. This research suggests that mobile app designer not only must focus on the app itself but also the social system, the better the product is, it needs more promotion and social effect, therefore more people would attracted by it. The social networks factor is a important promotion tool for app. These results would help avoid extra time and costs.

參考文獻


Agourram, H. (2009). Defining information system success in Germany. International Journal of Information Management, 29(2), 129-137.
Ajzen, I. (1985). From intentions to actions: A theory of planned behavior: Springer.
Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
Ajzen, I., & Driver, B. L. (1991). Prediction of leisure participation from behavioral, normative, and control beliefs: An application of the theory of planned behavior. Leisure Sciences, 13(3), 185-204.
Balaban, I., Mu, E., & Divjak, B. (2013). Development of an electronic Portfolio system success model: An information systems approach. Computers & Education, 60(1), 396-411.

延伸閱讀