運動贊助有效性之探討-以洛杉磯市場推廣臺灣觀光為例;Sports Sponsorship Effectiveness and Implications in Promoting Taiwan Tourism in Los Angeles

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题名:	運動贊助有效性之探討-以洛杉磯市場推廣臺灣觀光為例;Sports Sponsorship Effectiveness and Implications in Promoting Taiwan Tourism in Los Angeles
作者:	林信任;Lin,Hsin-Jen Trust
贡献者:	企業管理學系
关键词:	運動贊助;連續曝光效果;資料包絡分析法;差額分析法;Sports Sponsorship;Mere Exposure Effect;Data Envelope Analysis;Slack Analysis
日期:	2014-07-17
上传时间:	2014-10-15 14:41:17 (UTC+8)
出版者:	國立中央大學
摘要:	美國市場人口3.19億(2014 est.) ，土地面積983萬平方公里 (為臺灣268倍、歐盟的2.4倍) ，平均所得52800美元 (2013 est.) (The world fact book, 2014)，居民2013海外旅遊總人次高達6157萬人次(OTTI, 2014)，為全球主要的旅遊客源國。挾其世界媒體、影視娛樂及體育中心之特殊地位，成為各國建構世界品牌形象以協助全球市場銷售的必爭之地。美國民眾對運動極為熱愛，運動贊助(Sports Sponsorship)早已成為美國市場行銷顯學，但其有效性的評估上仍相對缺乏(O′Reilly & Madill, 2012) 。本研究以美國洛杉磯市場推廣臺灣觀光為例，探討運動贊助對於推動海外旅遊之效果，以作為未來運動贊助及觀光行銷之策略參考。在操作方法上，道奇球團同意於球場入口內指定處所辦理隨機抽樣之問卷調查，調查所在位置可以看見臺灣觀光看版、臺灣觀光及互動遊戲攤位，臺灣LED環場廣告及大螢幕電視廣告亦在場內輪播。本問卷調查計回收297位球迷問卷，其中男女球迷相當，每季看球或收聽比賽在21場以上之球迷過半。在資料整理後先以統計檢定及迴歸分析各項運動贊助活動對品牌建構及赴臺旅遊意願提昇之關係；復以資料包絡分析法(Data Envelope Analysis)，針對各項投入與產出變數來分析運動贊助活動，最後再結合統計檢定結果，運用差額分析法(Slack Analysis)共同研判。研究結果顯示，以運動贊助活動對提昇赴臺旅遊意願及球迷移轉效果(對球隊的向心力轉向球隊合作伙伴)顯著，惟統計分析顯示增加露出頻率不但對增進赴臺旅遊意願及建構臺灣品牌及知名度無顯著差異，另在輸出為導向之資料包絡分析法變動規模模式下，各項活動己達固定規模報酬或規模報導遞減階段，顯示就連續曝光效果（Mere Exposure Effect）而言，已達此行銷贊助組合下最高效用之水平階段。此外，本研究除發現運動贊助對目標客群及死忠球迷(Die-hard fans)效果顯著外，對於傳統上認為運動贊助多以男性為目標客羣之認知作性別分析，結果發現女性對臺灣觀光知名度及品牌形象上行銷效果不但與男性無差異，且在旅遊意願提昇上，對群體旅遊有決策影響力的女性客群，其行銷效果檢定結果顯著。若就場域別及媒體別比較多項運動贊助措施，其統計檢定結果無顯著差異，惟運用資料包絡分析法，則可以將各項運動贊助活動項目之效用排序，更可運用差額分析法計算固定效益下之最小投入成本，或以最大產出效益下之各投入與產出項未來調整之量化建議，以進一步提昇運動贊助效果達到管理目標。關鍵字：運動贊助、連續曝光效果、資料包絡分析法、差額分析法 ;Sports sponsorship is an easy way to break into a new market and identify with the targeted audience (Earnheardt et al. 2011) However, despite the increasing resources being allocated from marketing budgets to sponsorship, effective evaluation is relatively rare (O’Reilly & Madill, 2012). This study employed statistic test, Data Envelope Analysis (DEA), and Slack Analysis to explore the level of effectiveness of sports sponsorship by analyzing surveys conducted at Dodger Stadium in an attempt to quantify the success of sponsorship campaign between the Taiwan Tourism Bureau and the Los Angeles Dodgers. The participants were 297 attendees selected randomly at assigned location of Dodger Stadium while attending a Dodgers home game. During which Taiwan Tourism Bureau and Los Angeles Dodgers co-branded souvenirs were passed out, Taiwan interactive carnival booth was set up, Taiwan signage was displayed right behind the base. In addition, Taiwan logo and picture on around the stadium LED and Taiwan Tourism commercial on the jumbo tram were broadcasted twice during the game. This study tested the effectiveness relationships between 9 sponsorship activities and willingness to visit Taiwan and Taiwan tourism awareness/brand image enhanced. There is strong correlation between Dodgers sponsorship and increased brand awareness for Taiwan Tourism Bureau. Accessing with DEA-BCC model, all activities’ technical efficiency scored 0.958 or higher. However, from mere exposure’s perspective, increased rate of exposure to TTB’s advertisements do not have an increase in the participants’ opinion on Taiwan Tourism’s brand image and awareness factor. Observing from the scale to return on DEA-BCC model, all sponsorship activities are either in constant return to scale or decreasing scale to return. These facts mean that the sponsorship mix has closed to its scale limit. Other findings include the simple linear regression analyses indicated Dodgers fans’ favor to the team has successfully transferred to the team’s partner, Taiwan. In addition to die-hard fans and focused target fans’ favor to Taiwan, the female fans preferred to visit Taiwan. There is another interesting finding: based on t test, there is no significant difference between TV commercial and signage (or stadium TV clip, raiod ads) while employing DEA method can rank them according to different managerial purpose. Co-analyzing with statistics analysis and DEA method do bring more sufficient information for implementing managerial objectives. Keywords: Sports Sponsorship, Mere Exposure Effect, Data Envelope Analysis, Slack Analysis.
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