由於溫室效應及資源耗竭的影響,全世界產業逐漸邁向綠色供應鏈。筆記型電腦變電器的規格不一,即使同一個品牌筆電旗下產品的變電器規格也不一致。在更換新型筆記型電腦時,變電器因為沒有標準化的關係,使舊有的變電器無法繼續使用,最終變成電子垃圾,不但增加碳的排放量,同時使資源無法做最有效的配置。 本文以筆電變電器標準化之可行性為研究議題,分析當變電器規格標準化之後,筆電一線廠商與二線廠商以及消費者會受到何種程度的影響,在何種條件之下,將有利於此項方案的推行。本文利用賽局以及決策樹中逆向歸納法等研究方法進行模型推導,再利用問卷調查的方式收集顧客對於筆電變電器規格標準化之後的消費者行為,利用此項資料驗證模型推導的合理性。本研究經模型推導以及問卷調查資料分析之後,得到下面幾項結論: 1.當筆電變電器價格佔筆電產品價格比例很高,且筆電變電器的利潤佔筆電產品利潤比例很低時,進行筆電變電器標準化對於廠商以及消費者是有利的。 2.筆電變電器之認知價格以及筆電價格對於顧客選購不含變電器之筆電選購方案佔有很重要的影響力,換句話說,筆電價格的下降幅度將會主宰顧客的消費行為。 3.利用此等方法將可以使台灣二線廠商獲利增加,降低二線廠商經營風險,提高台灣筆電產業的競爭力。
With the effect of green house and exploit of resources , the industry will move forward to green supply chains around the world. There are many kinds of specifications to NB adapter, even for the same product. Therefore, used adapters can not be used when we purchase a new notebook. Finally, used adapters are going to be electronic trash. It will increase the emission of CO2 and decrease the efficiency of resources allocation. This thesis focuses on the feasibility of standardization of NB adapters, analyzing the effect on consumers and the industry after the firms standardize NB adapters. Besides, the thesis studies the condition to facilitate the policy. This research uses the backward induction of decision tree model to construct and analyze the standardization model. After completing it, diffusing the questionnaire is used to collect the data to understand consumer behavior when the standardization of NB adapters is taken. The data verifies the correctness of standardization model. The conclusion is below: 1.When the ratio of the price of NB adapter to NB is very high and the ratio of profit margin of NB adapter to NB is very low, taking the standardization of NB adapters is good for consumers and the NB firms. 2.The perceived price of NB adapter and price of NB play important role in purchasing the notebook excluding a NB adapter. Namely, the price discount will affect consumer behavior on purchasing the product. 3.Taking the standardization of NB adapters will increase the profit and decrease the managerial risk for second tier firms.