The purpose of this study is to understand how to activate field training internships through former researches relation to training internships thesis. The concept of field training is the same as work experience education. Students have experienced the skills of a practical job in the tourism industry. And also could enhance acquisition of professional theories. According to domestic former researches, The students participated in hotel field practice hardly satisfied with internships because unreasonable duties, burden and circumstances regardless of efficiency of school curriculum. And also they are showing dissatisfaction with compensation. However, Foreign study only on focus on communication between hotel and school. Finally, In order to activate industrial field training internships, School and hotel have more delicate harmonization to improve training internships problem.

Measuring and evaluating the business performance plays a very important role in managing business. It is because business performance, in any types of industry, can be evaluated and managed properly only when the measurement of its performance is estimated, and because its performance can be improved through an efficient and effective management. Therefore it is essential to build up the performance evaluation system to raise management efficiency of the foodservice industry, to reinforce competitive power of the food service industry. This study tried to propose a novel point of prospective and method in which the performance evaluation in any family restaurant should be illuminated and be performed. In this study, BSC provided the main conceptional framework for evaluating the performance of a family restaurant, and evaluation items of BSC four prospectives - financial, customers, internal business process, and learning and growth-were adjusted so as to be fitted into the business field. Furthermore, this study verified the validity of the proposed performance evaluation method through specific case analyses and used AHP to quantify its validity objectively. Finally, this study found the fact that non-financial prospectives, compared to financial prospectives, should be more importantly considered as the performance evaluation index of the family restaurants. Especially, the study showed that the proportion of performance evaluation indexes related to Customers prospective and Learning and Growth prospective revealed very highly, therefore variables such as customer satisfaction index, per employee productivity, education and training, customer response rate, employee satisfaction index should be emphasized as key factors at the process of selecting indexes and measuring their performance evaluation of the food service industry.

This study was conducted during a period from July 4 to 30 to investigate the effect of restaurant environment upon customer's satisfaction and crowdedness awareness. Total 800sets of questionnaire were distributed among major food service corporations. They were 16 restaurants from McDonald, Burger King, Popeyes, KFC, Rits Carlton, Intercontinental, The Westin Chosun, Hilton, Merriot, Outback Steak House, Bennigans, VIPS, Pizza Hut Pul-hyanggi(Scent of grass), Nolboo Co.,, and Our Story, and received 50 see each to hand out to their customers. Out of total 800 sets of questionnaires, 592 sets (74.25% were retrieved and underwent a Multiple Regression Analysis. We found the following results from the study. First among each variable of restaurant environment that had a significant effect on the crowding, 'pTast service' and 'responsiveness to customer complaints' sooted a regression coefficient value 0.381 and 0.325 respectively. Second, among each restaurant environment factor that had a significant effect on crowding, 'quality of facility' sooted the highest regression coefficient value 0.423 with a standard error score 0.1074, fellowed by 'status of waiting', 'overall ambience' and 'service quality' in ascending order. Third, in the analysis of the effect of each environmental factor upon the satisfaction rate, 'status of waiting' showed the highest regression coefficient value 0.3821 with a standard error score 0.4565, followed by 'cleanliness', 'service quality' and 'conveniency', in ascending order.