The study was aimed to 1) investigate influence of supervisors’ behavior leadership affecting working motivation of ground operation employees and organizational effective of a low cost airline and 2) study influence of supervisors’ behavior leadership on organizational effectiveness of a low cost airline. This research is descriptive collecting data through a questionnaire constructed from reviewing relevant documents. 88 samples responded to the five-scale the demographic questionnaire divided into 4 parts with the total of 84 items. The collected data were statistically analyzed by percentage mean ( X?) standard deviation (S.D.) multiple regression analysis multiple linear regression and Pearson Correlation Coefficients (Pearson Correlation Coefficients) The results showed that the hypothesis test on the influence of supervisors’ behavior leadership affecting working motivation of ground operation employees and organizational effective of a low cost airline yielding (1) the correlation coefficients between supervisors’ behavior leadership and employees’ motivation were positively correlated at the .05; (2) he correlation coefficients between supervisors’ behavior leadership and organizational effectiveness were statistically significant; and (3) the supervisors’ behavior leadership affecting employees’ working motivation and organizational effectiveness of a low cost airline at .05 level of significance (R = .712) and (R = .598).

This study was aimed to study the demographic characteristics of who decided to shop online to explore working-age people’s internet behavior and to investigate the demographic factors influencing internet shopping decisions. The population and sample used in this study were working-age people drawn from Snowball Sampling method. The questionnaire used was distributed through the internet to 400 respondents. The data were collected and analyzed by the computer program through the statistical analysis including frequency percentage mean () standard deviation (S.D.) and two-way analysis (ANOVA). The research results revealed that Marketing mix factors affected the internet shopping decisions of the working-age people in general at high level (= 4.13 S. D. = 0.430) . When looking into each aspect it was found that the price factor highly influenced the online purchasing decisions (= 4.16 S. D. = 0.463) . followed by the product factor (= 4.13 S. D. = 0.452) which was also considered at high level. The promotion factor had high impact on online shopping decision (= 4.13 S. D. = 0.422) as well as the distribution channel (= 4.13 S. D. = 0.386). The result regarding the relationship revealing gender and age (F = gender *age (1357) = 7.128 p < .05 ) had a significant effect on online shopping at the .05 level. Gender * and occupation (4357 ) = 1.503 p < .05 ) had influence on decisions to online shopping with statistical significance at .05. Occupations and income (F * occupation * income (1357) = 11.487 p < 0.5 ) could influence decision making on the internet shopping with statistical significance at .05. Also the relationship between gender and occupation (F * gender occupation ( 4357 ) = 5.237 p < .05 ) had an influence on the choice of the internet shopping decision on price at the .05 level; the relationship of gender and occupation (F * sex occupation ( 1357 ) =8.000 p < .05 ) influenced the decision to shop on the internet in terms of marketing promotion at the .05 level of significance.

The research was aimed to investigate the extent of participation and factors affecting personnel participation in public organization development (group 2). The population in this study were 1917 personnel working in public organizations (group 2). The researcher determined the sample size using Craig and Morgan method. The samples used in the study were 321 persons. In this research a self-constructed questionnaire was used as the instrument to collect data which then were analyzed using percentage mean and standard deviation Two-way ANOVA and Multiple Regression analysis. The research results were as follows. 1. The study on factors affecting personnel participation in public organization development (group 2) revealed that factor regarding attitude towards work participation was at high level with the average of 3.97; environmental factor in the organization towards organizational participation was at high level with the average of 3.93; motivation factor was at high level with the average of 3.85; communication factor was at high level with the average of 3.80; communication factor was at high level with an average of 3.80; and organizational culture factor was at a high level with an average of 3.79 2. Differences in terms of experiences and workplaces were not statistically significant and had no influence on the participation in the organizational development of personnel in public organizations. 3. Attitude factors did not statistically influence the participation in organizational development of personnel in public organizations. 4. Motivation and communication factors influenced the participation in organizational environment and organizational development of personnel in public organization (group 2) at the .05 level of significance totally predicted the dependable variables by 4.6 percent.

The objectives of this study were to examine the level of motivation and royalty of site engineers categorized according to population properties and to investigate the relationship between motivations and royalty of the site engineers in real estate and construction industry listed firms the stock exchange of Thailand. The data were collected from 354 site engineers through the application of questionnaires. The statistics applied for the data analysis consisted of Percentage Mean Standard deviation Independent Samples t-test One-way ANOVA and Pearson Correlation Coefficient. The study demonstrated that the differences in gender age education position and work experience had influences on the royalty of site engineers at 0.05 level of significance. Moreover it was found that the motivational factors had a positive relationship with the royalty at 0.01 level of significance.

The objectives of this study were to examine the royalty of customers categorized according to population properties and to investigate the relationship between service quality and royalty of customers. The data were collected from 288 existing customers through the application of questionnaires. The statistics applied for the data analysis comprise Percentage Mean Frequency Minimum Maximum Standard deviation Independent Samples t-test One-way ANOVA and Scheffe’s Method between 0.01 to 0.05 level of significance. The study demonstrated that the differences in gender and education had influences on the royalty of customers at 0.05 level of significance while there is no significant differences in age job and monthly income. Overall it was found that the service quality had a positive relationship with the royalty of customers at 0.01 level of significance.