The issue of sexual harassment has certainly become more prominent in the last decade. As the increasing number of cases reported, many countries have taken statutory action to recognize it as an insultive conduct and at the same time to punish and prevent it. In the hotel industry particularly, sexual harassment has frequently reported as a key problem. Working in the hospitality industry often involves an employee with a number of different people in the course of delivering service. Thus, this study aims to investigate the relationship between aweraness of sexual harrasment in relation to the employment in hospitality industry in Terengganu. A total of 260 respondents were selected from the employees in various hotels and resorts in Terengganu. Three predictors, offensive behavior, sexual coercion, risk on human factor, were found to have medium to strong correlation with the dependent variables namely employment. The regression analysis also shows that offensive behavior, sexual coercion, risks on human factor are positively and significantly related to employment. The researcher suggests that human resource managers in the hotels and resorts should formulate, in consultation with Malaysian law and labour relations experts, in order to improve sexual harassment policies.
Improvement in data-transfer speed and constant, continuous innovation in software and hardware, and humans’ communication and networking through social-media networking have become much easier and breezier. Complex and data heavy information, such as high-definition videos, can be shared with million other users all over the planet at the ease of fingertips in just 1/1000th second. For the above reasons, social media have become a handy, crucial, and effective tool for users to propagate and seek useful and vital information. Therefore, the main objective of this paper is to identify a relationship between independent variables and dependent variable. The factors that have been analysed include intrinsic reasons, information-seeking and sharing, and social-media addiction. The study was conducted by using a quantitative method by distributing questionnaires to the degree students of a public university in the east coast of Malaysia. The respondents were from a group of students from the total population of 2,007 and the sample size was 327 students. The data from the questionnaires have been analysed by using the Statistical Package for the Social Science (SPSS) Version 23. Reliability analysis, frequency analysis, correlation analysis, and regression analysis are used in the research. The results prove that there are moderate and weak relationships among the variables.
The purpose of the research is to analyze the relationship between rail service quality and customer satisfaction. A total of 356 sets of questionnaires were distributed via email to passengers of rail transport in Malaysia and a total of 258 questionnaires were usable for the analysis. Using Pearson correlation analysis and multiple regression analysis our research found that only four rail service quality dimensions namely reliability, responsiveness, convenience, and connection are significant in predicting customer satisfaction. For future research, it is suggested that researchers use a bigger sample size and qualitative analysis for in-depth analysis.
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