• 沒有找到結果。

第五章 結論與建議

第二節 建議

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(三) 加入深度訪談

本研究以問卷調查方式取得分析數據,進行量化研究,以曾申請都市 更新概要計畫之實施者為研究對象,並未控制實施者之規模、成立時間…

等因素,建議可加入相關控制因素,增加不同條件背景實施者之比較,並 建議加入深度訪談,進一步了解較具規模之實施者其與土地權利人之合作 經驗。

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黃泳涵,2010,「信任與都市更新參與整合意願之研究」,國立政治大學地 政學系碩士班論文:台北。

張陳基,2010,「Perceived Social Loafing and Community Cohesion in Virtual Communities: a Perspective of Social Capital」,國立中央大學資訊管理 學系博士論文。

卓輝華,2010,「都市更新權利變換制度的委託代理、產權結構與契約關係 之研究」,國立政治大學地政學系博士班論文:台北。

羅浚杰,2008,「以賽局理論探討民間土地整合開發之地主拿翹行為」,國 立臺北大學不動產與城鄉環境學系碩士班論文:台北。

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內政部營建署,2008,都市更新作業手冊。http://twur.cpami.gov.tw/,取用 日期:2012 年 12 月 7 日。

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in Business and Social Sciences,2(1):470-486

三、網頁參考文獻

營建署都市更新入口網,2011,http://twur.cpami.gov.tw/invest/i-index.aspx,

取用日期:2011 年 11 月 1 日。

聯合新聞網,2012,http://udn.com/NEWS/mainpage.shtml,取用日期:2012 年 12 月 7 日。

蘋果日報,2012,http://www.appledaily.com.tw,取用日期:2012 年 12 月 7 日。

台北市政府都市更新處,2011,http://www.uro.taipei.gov.tw,取用日期:2011 年 11 月 1 日。

新北市政府城鄉發展局,2011,http://www.planning.ntpc.gov.tw,取用日期:

2011 年 11 月 1 日。

電話:(02)29393091#50609 傳真:(02)29369227 信箱:99257011@nccu.edu.tw

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定 □如土地權利人之利益與公司本身利益無衝突時,則同意

4、與土地權利人進行協商,遇有不同意見時,通常花多少時間進行溝通?

□一周內完成 □一個月內完成 □待時間緊迫時,才密集溝通

□待土地權利人主動詢問時溝通 □盡量不溝通 第五部分:實施者本身資訊

1、貴公司之經營行業屬性?

□建設公司 □開發公司 □營造公司 □其他組織 2、貴公司是否為上市(櫃)公司?

□上市公司 □籌備上市中 □上櫃公司 □籌備上櫃中 □非上市(櫃)公司 3、貴公司過去建築個案之獲獎經歷如何

(包括國家建築金質獎、國家卓越建設獎…等,請以最近一次獲獎經驗回答)?

□近一年內有獲獎紀錄 □近 2~3 年內有獲獎紀錄 □近 5 年內有獲獎紀錄

□近 10 年內有獲獎紀錄 □未曾獲獎

~本問卷到此結束,謝謝您的寶貴意見!~

本問卷已附上回郵,請折疊裝訂後投擲郵筒即可,非常非常感謝

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附錄二、SEM 結果之 t 檢定值

利用最大概似值法(Maximum Likelihood, ML)進行參數估算的結果,

第一行值為標準化參數值,第二行括弧內數值為標準誤(standard error),

第三行為t值。若t值大於1.645,表此估計參數達到α=0.1之顯著水準;若t 值大於1.96,表此估計參數達到α=0.05的顯著水準;若t值大於2.575,俵此 估計參數達到α=0.01之顯著水準。

一、測量模式(Measurement Equations)

Trust2 = 0.72*信任, Errorvar.= 0.86 , R2 = 0.37 (0.11) (0.13)

6.61 6.75

Trust5 = 0.75*信任, Errorvar.= 0.56, R2 = 0.50 (0.094) (0.088)

8.03 6.39

Trust6 = 0.76*信任, Errorvar.= 0.78 , R2 = 0.43 (0.11) (0.12)

7.19 6.62

Trust7 = 0.87*信任, Errorvar.= 0.23 , R2 = 0.77 (0.080) (0.052)

10.98 4.35

Trust8 = 0.86*信任, Errorvar.= 0.44 , R2 = 0.62 (0.092) (0.076)

9.35 5.81

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Recip3 = 0.79*互惠, Errorvar.= 0.33, R2= 0.66 (0.060)

5.41

Recip4 = 0.76*互惠, Errorvar.= 0.34, R2 = 0.63 (0.087) (0.061)

8.73 5.63 Recip7 = 0.58*互惠, Errorvar.= 0.30, R2 = 0.53 (0.073) (0.048)

7.84 6.18

Recip8 = 0.71*互惠, Errorvar.= 0.42, R2 = 0.55 (0.089) (0.068)

8.03 6.09

Coo2 = 0.93*Coop, Errorvar.= 0.34, R2 = 0.72 (0.080)

4.22

Coo3 = 0.90*合作, Errorvar.= 0.32, R2 = 0.72 (0.097) (0.075)

9.28 4.21 Coo4 = 0.87*合作, Errorvar.= 0.56 , R2 = 0.58 (0.10) (0.097) 8.37 5.73

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二、結構模式(Structural Equations)

互惠 = 0.82*信任, Errorvar.= 0.33, R2 = 0.67 (0.11) (0.092)

7.68 3.54

合作 = 0.56*互惠, Errorvar.= 0.68 , R2 = 0.32 (0.11) (0.15)

5.10 4.66 三、模型估計值(Estimates)

四、模型估計值(T-values)

Degrees of Freedom = 52

Minimum Fit Function Chi-Square = 77.95 (P = 0.011)

Normal Theory Weighted Least Squares Chi-Square = 78.72 (P = 0.0098) Estimated Non-centrality Parameter (NCP) = 26.72

90 Percent Confidence Interval for NCP = (6.73 ; 54.67) Minimum Fit Function Value = 0.74

Population Discrepancy Function Value (F0) = 0.25 90 Percent Confidence Interval for F0 = (0.064 ; 0.52) Root Mean Square Error of Approximation (RMSEA) = 0.070 90 Percent Confidence Interval for RMSEA = (0.035 ; 0.10) P-Value for Test of Close Fit (RMSEA < 0.05) = 0.15 Expected Cross-Validation Index (ECVI) = 1.24 90 Percent Confidence Interval for ECVI = (1.05 ; 1.51) ECVI for Saturated Model = 1.49

ECVI for Independence Model = 13.88

Chi-Square for Independence Model with 66 Degrees of Freedom = 1433.37 Independence AIC = 1457.37

Model AIC = 130.72 Saturated AIC = 156.00 Independence CAIC = 1501.33 Model CAIC = 225.97

Saturated CAIC = 441.75 Normed Fit Index (NFI) = 0.95 Non-Normed Fit Index (NNFI) = 0.98 Parsimony Normed Fit Index (PNFI) = 0.75 Comparative Fit Index (CFI) = 0.98 Incremental Fit Index (IFI) = 0.98 Relative Fit Index (RFI) = 0.93 Critical N (CN) = 106.89

Root Mean Square Residual (RMR) = 0.056 Standardized RMR = 0.051

Goodness of Fit Index (GFI) = 0.89

Adjusted Goodness of Fit Index (AGFI) = 0.83 Parsimony Goodness of Fit Index (PGFI) = 0.59

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