AU eJIR : Vol. 3, Issue 2 (July-December 2018)

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Now showing 1 - 5 of 6
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    The internet and life long learning (LLL)-a new revolution
    Global expansion of Information and Communication Technology (ICT) has changed the way we create and consume information. As of December 2017, fifty percent of the users of the Internet reside in Asia. Besides collaborating on common interests people are forming virtual on-line communities and utilizing Social Networks to share knowledge and their life experiences. Although the rate of change in terms of usage of technology in education has been slow but the rise of Social Networks such as Facebook, Twitter, LinkedIn, Instagram and YouTube have drastically changed the way we live. Life Long Learning (LLL) is not just a slogan any more, it is taking new forms with every new technology innovation. The increasing use of the internet and Web 3.0 technologies is widening world-wide participation in LLL. Although politicians and educationalists have been quick to herald such initiatives as revolutionizing education and extending learning opportunities to “anyone”, “anytime and anywhere” basis, but there has been little empirical analysis of how ICT is actually impacting LLL. With this in mind, this paper attempts to explore current trends and technologies available for LLL.
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    An analysis of quality assurance in elearning: course management level
    The purpose of the study was to examine concepts and principles of quality assurance in eLearning for course management level. The author reviewed, and analyzed the existing literatures, researches and case studies, particularly emphasized on quality assurance in eLearning process that relevant to the course management system, especially in course production process and delivery of eLearning. This study highlights an important view of the application of quality assurance concepts and principle through eLearning at course management level. Since the quality assurance system in eLearning concerns, involves with many people from different department and management level; administrators, teachers, IT technician, staffs, stakeholders, students and community, the quality assurance through eLearning at course management level required certain aspect of leadership and management for administrators and instructional leadership for instructors. The teaching learning process for course development and management was categorized into 4 phases for course management level; planning and analysis for online course, implement of design and course production, delivery the online course, and assessment and evaluation.
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    Factors influencing online purchase intention
    : Nowadays, the popularity of the Internet usage is growing in all businesses, shopping is not excluded. People have changed the way they shop from off line to online. As such, consumer behavior should be explored since the technology especially the Internet has become the mainstream of people lives. Therefore, the research was aimed to determine whether Perceived Usefulness (PU), Perceived Ease Of Use (PEOU), and Perceived Risks (PR) has influenced online purchase intention of customers. These three factors were considered when people would decide to shop online. This descriptive research applied the survey method to collect data. A self-administered online questionnaire was voluntarily distributed to respondents via Google Docs and Line Application. The respondents were recruited with the characteristics of being online shoppers. The researchers used the screening question to ask whether they have tendency or have experienced to shop online prior to proceed to the actual questionnaire. Apparently, there were 111 valid data for analysis. The Multiple Linear Regression (MLR) was applied for hypothesis testing to explore whether Perceived Usefulness (PU), Perceived Ease Of Use (PEOU), and Perceived Risks (PR) influence online purchase intention. The results revealed that all the three factors statistically significant influenced online purchase intention (R2 = .46, Adjusted R2 = 0.45, F = 30.53, p = .000). To conclude, respondents felt that to make the online purchasing, the usefulness and ease of use are things to consider; even though there is risk for them
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    Factors relating to turnover intention of medical sales representatives of BDSH Thailand Ltd.
    This research aims to study whether job satisfaction in terms of Pay, Promotion, Supervision, Fringe Benefits, Contingent Rewards, Operating Conditions, Coworkers, Nature of Work, and Communication has a relationship with turnover intention of medical sales representatives in BDSH Thailand Ltd. The questionnaire was used as a research instrument to collect data. The data was collected from all 230 medical sales representatives in BDSH Thailand Ltd. Pearson’s correlation analysis was used to test the research hypotheses. The results of this research revealed that turnover intention had a very low positive relationship with pay, promotion, and contingent rewards of medical sales representatives in BDSH Thailand Ltd. In addition, supervision, fringe benefit, operating procedures, coworkers, nature of work, and communication did not have a relationship with turnover intention of medical sales representatives. This finding contrasts with many previous research studies which found a strongly negative relationship between job satisfaction and turnover intention. This may be because of the characteristic of medical sales representatives in BDSH Thailand may different from other jobs. Medical sales representative in BDSH Thailand face pressure from their job requirement for volume of minimum sales per month. Therefore, Pay, Promotion, and Contingent reward may not be the factors that influence their intention to leave the company.
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    Factors influencing consumer purchase intention towards imported bedding brands
    The objective of this study was to determine the factors that influence consumer purchase intention towards imported bedding brands in Thailand, based on the Theory of Reasoned Action model (Fishbein & Ajzen, 1975). Data was collected via questionnaires applying the convenience sampling technique to select respondents. One hundred and eighty sets of questionnaires were distributed to customers in department stores in Bangkok once the reliability and validity of the instrument were established. A total of 140 sets out of the 180 sets were completed and returned. The independent variables were attitude towards products and subjective norms, and the dependent variable was purchase intention. Frequency and percentage were used to analyze demographic profile. Mean and standard deviation were used to analyze respondents’ perception of each variable. Hypotheses were tested with Multiple Linear Regression Analysis. The results from the Multiple Linear Regression Analysis demonstrated that attitude towards product and subjective norm both significantly influence consumer purchase intention. However, attitude towards product (Beta = 0.618) had more influence on purchase intention than subjective norm (Beta = 0.151).