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題名:綜合廣告代理商及網路廣告聯播中心評選模式之建立與應用
作者:許碧芳
作者(外文):Hsu, Pi-Fang
校院名稱:銘傳大學
系所名稱:管理科學研究所
指導教授:林進財
學位類別:博士
出版日期:2003
主題關鍵詞:廣告代理商網路聯播中心層級分析法灰關聯分析advertising agencyInternet advertising networkanalytic hierarchy processgrey relational analysis
原始連結:連回原系統網址new window
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本文目的在找出綜合廣告代理商及網路廣告聯播中心合適的評估準則、建立個別之評選模式並將之應用於實際企業中。研究結果,針對綜合廣告代理商之評選,構建了5項準則及10項次準則,發現台灣地區廣告主對5項評估準則的重視程度依序為:1.策略規劃能力、2.創意能力、3.媒體能力、4.服務水準、5.成本意識。針對網路廣告聯播中心之評選,構建了7項準則及19項次準則,廣告主對該7項準則之重視程度依序為:1.媒體品質、2.整合行銷規劃、3.廣告創意、4.服務水準、5.廣告定價、6.廣告管理推播系統、7.經營規模。
由於綜合廣告代理商之廠商數眾多,評選模式需分為初選與複選兩階段,第一階段先以層級分析法(AHP)來決定初選準則之權重,再應用灰關聯分析法(GRA)找出代理商初選名單,第二階段應用AHP將第一階段的代理商初選名單排序,選出最佳廣告代理商。而台灣地區網路廣告聯播中心之廠商數僅四家,評選模式不需分為二階段,直接以AHP來決定準則之權重,並排序替選方案選出最佳聯播中心,此外,這兩個評選模式並以台灣一家知名的食品公司選擇廣告代理商及網路廣告聯播中心為例來驗證。這兩個模式提供台灣廣告主有效的選擇綜合廣告代理商及網路廣告聯播中心,在學術及實務上均具有一定程度的價值與貢獻。
This paper will develop the suitable evaluative criteria and establish the selection models to help choose advertising agencies and Internet advertising networks. The research results develop 5 criteria and 10 sub-criteria for selecting advertising agencies. The proposed model ranks the importance to Taiwanese advertisers of the 5 criteria used herein as follows: 1.Strategic planning, 2.Creativity, 3.Media ability, 4.Service level, and 5.Cost consciousness. This paper develops 7 criteria and 19 sub-criteria for selecting Internet advertising networks. The proposed model ranks the importance to advertisers of the 7 criteria used herein as follows: 1.Internet media quality, 2.Integrated marketing planning, 3.Creativity, 4.Service level, 5.Advertising rates, 6.Ad management and delivery system, and 7.Business scale.
The advertising agency selection model consists of two stages. The first stage will use “Analysis Hierarchy Process (AHP)” to determine the relative weights of initial criteria and then apply the “Grey Relational Analysis (GRA)” to come up with a shortlist of agencies. The second stage will apply the “AHP” to rank the shortlist and select the best advertising agency for advertisers. The proposed model for selecting Internet advertising networks adopts the AHP to determine the relative weights of evaluative criteria, then ranks the alternatives and selects the optimum Internet advertising network for advertisers. Additionally, a famous Taiwanese food company is used herein as an example of how an advertising agency and an Internet advertising network can be selected using this two model. These two models proposed herein allow advertisers to select advertising agencies and Internet advertising networks effectively, making it highly applicable for academia and commerce.
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