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GNP is one of the most frequently used measures of economic performance. And major changes in GNP may indeed reflect severe problems or impressive gains. The very large increase in real GNP in Korea in 1991, 2000, and 2010 will be associate with a rapid rise in the material standard of living (see p. 17 , table 3). Some of the things which are included in GNP can scarely be considered contributions to human happiness. When the cold war becomes more tense, rising armament purchases are included in GNP; yet we are no happier. The need to increase productivity has been the major theme in recent years for business leaders and national spokesmen. Productivity is a major concern throughout the world. Higher productivity indicates more efficient use of inputs, mainly labor and capital. Technological advances have contributed heavily to productivity gains in recent decades. Machanized equipment, better tools, and computers have made jobs safer and more productive. Profit-sharing and bonus payments provide monetary rewards for higher productive from the entire work force. What our emprical analysis revealed is the existence of substential per capita output, productivity, and consumption gaps for the rapid growth country, where the gaps appear to the wider for consumption than for per capita output and for productivity. We were unable to compare the distribution of income on a comprehensive basis including both wage and wealth income and including all social groups. Rather, my analysis was limited to the distribution of income among under-technological country. This comparison indicated a slightly less unequal distribution of wage income in the under-technological country but failed to reveal dramatic differences in the distribution of income. Finally, I argued that the apparently greater stability of the law-growth country economy in terms of growth, price stability, and employment has led to certain efficiency and quality costs, but that these costs have been kept within manageable limits. On the other hand, we will recognize the fact that the low-growth country economy also has been among the most stable of the major 21st century`s industrial-society.

This thesis has identified a need for productivity measurement and for productivity management in hotels. This thesis has presented a diagnostic approach to the management of productivity which can be used by hotel managers and consultants to improve productivity and management effectiveness. Theoretical and operational productivity measurement models were presented and discussed relative to academic and operational applications. Research in the area of productivity measurement and management in hotels has resulted in several findings. These findings are as follows. First, there exists a need for improved labor control in hotels. This can result from the use of productivity measurement and management systems. Second, economic theory, industrial engineering and behavioral science have experience which can be applied directly to the problem of measurement and management of productivity in hotels. Third, productivity in hotels can be measured by means of a consistent, a priori, mathematically correct definition of the relationship between inputs to and outputs from the production process. This means of measurement permits a diagnostician the flexibility to design productivity measurement systems for specific hotel applications. The findings of this thesis can be the basis for the development and implementation of industry wide productivity management systems. The idea that what can be measured can also be managed is true in the area of productivity. The task of measurement of productivity in hotels which had previously been too complex and too time consuming can now be accomplished by the systematic application of on-line computer techniques. The use of productivity measurement systems as presented. in this thesis must be considered with an awareness of several important precepts and caveats. First, it is necessary to recognize that measurements of productivity do not include all or even most of the factors which influence productivity. Labor inputs to the production process is used primarily because it is important, it is controllable, and it is measurable. Second, the availability of data is a constraint to the measurement process. Although some measures are preferred (i.e. labor hours paid), it is possible that they are not available and that less meaningful measures (i.e. labor costs paid) must be used. Third, the productivity measures presented represent aggregate activity center or work group measures. They do not represent individual productivity and they do not suggest that measured levels of productivity are optimum standards. Industrial engineering techniques including time and. motion study can be used to establish productivity standards. Fourth, a productivity measurement system is in essence a clinical thermometer. It measures changes in the relationship between inputs and outputs in the production process, but does not attempt to define cause and effect relationships. Fifth, the measurement process does not directly address the issue of quality of inputs or of outputs. For example labor input quality may be influenced by the culture, training, seniority and availability of the work force. Output quality may be influenced by guest perceptions, guest preferences, and guest behavior. Sixth, productivity measurement systems identify problem areas and trends within those areas. They do not prescribe remedies and are unable in and of themselves to implement solutions. Seventh, there exists a risk of system misuse. If a manager were to rely solely on the information provided to him or her by the system, it is possible that important human considerations could be overlooked with detrimental results to the organization. In a future, it will be more preferable to use computer technology can be used to monitor and improve productivity and therefore maintain and/or improve profitability of the hotel industry.

It is forecasted that the demand of measurement manpower which develops a method of measurement, produces and operates advanced measurement equipments will rapidly increase on account of a trend of the high industrial level the diversity and high precision of goods. However, measurement manpower in our country, has been consistently increasing, still considerably falls be hind in comparison with our national level of technology. From this point of view, the purpose of this study is to show how to make it easy to secure measurement manpower that greatly influences the improvement of productivity owing to its spread to all industry. This paper will be a source document to predict the demand for measurement manpower until the year of 2000 and show how to supply necessary manpower according to the economic growth in the future. This report is divided into four sections. In the first section, the object of this study is mentioned. In the second section, demand model on analysis data is explained. In the third section, the optimum model is selected after the Residual Analysis on the demand model in section 2. And the prediction on demand and supply of measurement manpower is presented on the basis of the model. Finally, in the fourth section, a suggestion for adjustment of demand and supply is showed.