The purpose of this research was to develop an empirical model which could be used to predict job tenure for sewing machine operators in a large garment factory. Although the model did accurately predict tenure in each of five scoring ranges, the results did not meet the level of significance set forth in the hypothesis. It can be fairly stated that the results were trending in the right direction, but were not statistically significant.

This research was designed to develop and evaluate an automated alternative to the Box-Jenkins method of forecasting. The study involved two major phases. The first phase was the formulation of an automated ARIMA method; the second was the combination of forecasts from the automated ARIMA with forecasts from two other automated methods, the Holt-Winters method and the Stepwise Autoregressive method. The development of the automated ARIMA, based on a decision criterion suggested by Akaike, borrows heavily from the work of Ang, Chuaa and Fatema. Seasonality and small data set handling were some of the modifications made to the original method to make it suitable for use with a broad range of time series. Forecasts were combined by means of both the simple average and a weighted averaging scheme. Empirical and generated data were employed to perform the forecasting evaluation. The 111 sets of empirical data came from the M-Competition. The twenty-one sets of generated data arose from ARIMA models that Box, Taio and Pack analyzed using the Box-Jenkins method. To compare the forecasting abilities of the Box-Jenkins and the automated ARIMA alone and in combination with the other two methods, two accuracy measures were used. These measures, which are free …

The objectives of this dissertation were to: (1) discover whether commenters and non-commenters on an international marketing questionnaire differ based on sociodemographic, nationality, and personality characteristics; (2) determine whether commenters with greater life satisfaction are more likely to provide positive comments; (3) determine whether commenters differ in response styles due to their national background; and (4) discover whether commenters differ (based on sociodemo-graphic, nationality, and personality characteristics) in their propensity to comment on the design rather than on other questionnaire issues. An exploratory design was used to satisfy these objectives.

Due to rapid environmental change, today's business requires a more collaborative management to ensure positive performance. One of the important means that can help firms adapt successfully to a changing environment is knowledge management. The management of information and knowledge as key to retaining competitive advantage and has recently evolved into a more strategically focused research topic for both business and academic study. Managing knowledge, however, is deemed difficult because many companies recognize the importance of their proprietary knowledge and are not willing to share it freely. Recognizing this weakness, many countries have promoted the development of regional clusters where firms can co-develop their competences and competitive advantage against the world's best competitors by sharing knowledge, resources, and innovative capabilities. Other than industrial clusters, trust is also considered an important factor in knowledge management study. Trust reduces the need to monitor others' behaviors, formalize procedures, and it lowers transaction costs. At the macro level, trust can enhance organizations' core competencies and sustain their competitive advantages through co-evolution. This may occur through the development of group collaborations, cooperative relationships, and networks. The study adopted a field survey research method and used multiple regressions as the data analysis technique. The dependent variable …