Universities have been at the forefront of online service provision. Regular evaluations and appraisals of its e-services provided to students are regularly improvised to keep pace with the rapid changes of learning technology and competitiveness of its services provided. There is a dread of research works investigating e-service quality supporting learning, research and communication and how it is related to student's frequency of use from various sources of e-service provided to students. Data were collected from 210 students through questionnaire surveys through a structured random sampling method and analyzed statistically. The dimensions for frequency of use of e-service are from learning and research, administration, coordination, evaluation and contents storage sources. This research work has developed a single dimension comprising six elements to measure the quality of e-service in higher education namely in areas of learning, research and communication support. These elements are: 1) e-service is always available, 2) overall it is very convenience to use, 3) the user interface has a well organized appearance, 4) makes it easy to find what is needed, 5) the e-service has met needs and experience, and 6) e-service assures schedule flexibility. This study has also provided empirical evidence that there are relationships between the level and frequency in the use of e-service quality supporting learning, research and communication.

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A 3-star and 4-star rated hotel, what do they mean? Are there significant perceived differences between the ratings? This research work investigates on what customers think of the quality of service of 3-Star and 4-Star hotel using SERVQUAL measures. In spite of the criticality of service quality, there are still misunderstanding about the perception of quality of service between the hotel and their customer, where research has shown that many service organizations develop their own perception of customer needs. The respondents for this study were the customers of the 3 and 4 stars hotels. Data were collected through a self-administered survey SERVQUAL questionnaire distributed to the respondents based on convenient random sampling method. Data were then analyzed statistically using the linear regression and independent t-Test from the SPSS package to determine how service quality is related to hotel guest's satisfaction, and the differences between 3-Star and 4-Star hotel respectively. Practical business strategy implications of this study are highlighted.

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