探討連鎖飲料店之營業分析-清心福全、50嵐、茶的魔手以虎尾鎮為例

產品銷售價值是種評估創業模式之一，本研究是以目測與估計樣本來評估，並探討消費者對飲料店之消費行為分析，以問卷方式得知消費者意見，由回歸分析與虛無假設卡方檢定評估存在價值，目測模式評估主要流動人潮，便可得知在特定時間內產品有一定銷售量的提升率，而在檢驗過程中；發現目測值與溫度無關，反之在中午休息時間與下午下班時間人潮居多，均達到50%顯著水準以上，第一部份以卡方檢定與Z檢定驗證性別比例及消費年齡平均比例為主，第二部份消費金額與當期營業收入以最低金額(L)最高金額(H)也相當顯著成為一線性，第三部分卡方Z檢定驗證各店家超40%過之主力產品，此情況下所設定的水準α=0.05，期驗證結果發現清心福全、五十嵐有較顯著之主力產品，而茶摩並非有顯著性，未來發展如果有充分之數據便可預測出相當良好的理想值。本研究先以相關蒐集資料統計為基礎，藉由問卷的彙整問卷分析評估業者之經營模模式與成本，並進而考量消費者實際購買之影響關係，以簡單的Excel軟體有效分析出這些預測評估創業者之影響，其次以實際調查預測創業金費為基礎並驗算回收本金之基礎條件。

關鍵字

消費者行為；回歸分析；卡方檢定；評估問題

並列摘要

Cost evaluation is one of the entrepreneurial models. The evaluation in this study is based on visual observation and sample estimation. In addition, the analysis on the beverage store consumption behaviors of consumers was discussed, with the questionnaire survey method employed to obtain consumers opinions. The value of existence was evaluated using regression analysis and null hypothesis chi-square test. The visual model was used to assess the flow of crowds. It was found that product sales rates, to some extent, increased within given time. During the testing process, the visual values and temperatures showed no correlation. On the contrary, the crowds were concentrated during lunch and the rush hour after work, reaching the significant standard of above 50%. The first part consists of Chi-square Test and Z Test carried out to verify the gender ratio and average consumption age ratio; the second part consists of consumption amounts and current operating income, with a considerably significant minimum amount (L) and maximum amount (H) in linearity; in the third part, Chi-square Test and Z-test were employed to verify the stores’ main products comprising over 40% of the total. Given the circumstances with the standard set at α=0.05，the verification results show that CSFC and 50 Lan’s main products had more significance, while Tea & Magic Hand showed no significance. Given sufficient data during future development, it is expected that a forecast on ideal values can be made. Related data was first collected in this study as the statistical basis. Through the compiled questionnaire analysis, the operators’ business model and costs were analyzed, further taking into consideration the impact on consumers’ actual purchases. Simple Excel software was used to effectively analyze the predicted and evaluated effects on entrepreneurs. Secondly, the actual survey was conducted to predict the entrepreneurship funding as the basis and calculate the basic conditions of recovery of principal.