การถูกลดทอนความเป็นมนุษย์และการตอบโต้โดยการสร้างอัตลักษณ์ใหม่ของสาวคาราโอเกะ / ขวัญฤทัย จ่างจำรัส = Dehumanization and resistance Through the construction of self-identity of Karaoke Girls / Kuanruthai Jangjumrus
The main objective of this study is to identify factors that affect the construction material price index due to its development processes. The results of the study aim to introduce guidelines to improve construction material price index to be more suitable for Thailand's circumstance, particularly a practical application for the escalation factor (K). This research has been conducted by studying the construction price index in both Thailand and other countries in order to compare the objectives, the applications of the index, the processes of the index development, their advantages and disadvantages as well as suitability of the application of the index. The index development currently used in Thailand is analyzed to identify the pros and cons of each process. The Thai contractors' behavior of material purchasing are also surveyed. The result of research presents factors of 2 main parts: 1) the determination of representative materials and their weights and 2) the collecting of material price data. Factorsthat affect the first part consist of (a) the selection of representative materials in each group, (b) their weights, and (c) number of representative materials. Factors that affect the second part consist of (a) specifications of representative materials, (b) price data including credit terms, transportation cost, and discount rates, (c) boundary or surveyed area, and (d) frequency of price surveying period. In the process of material selection and weight determination, the result identifies that the selection of representative materials should be related to the objective of implementation of the price index. For the application for the escalation factor (K), the representative materials and weights used should be derived from the bills of quantities of public construction projects. The collecting of price data should be well defined in terms of surveyed locations, data collecting processes and surveying period.
