International Journal of Web Engineering and Technology (7 papers in press)
A Review on the dynamics of Social Recommender
by Jyoti Shokeen, Chhavi Rana
LACFAC-Location-Aware Collaborative Filtering and Association-based Clustering Approach for Web Service Recommendation
by M. Jenifer, S. Thabasu Kannan
Test Case Generation for Semantic-based User Input Validation of Web Applications
by Samer Hanna, Malcolm Munro
The development and validation of a work-values scale for vocational high-school students
by Po-Wen Cheng, Hui-Min Lai
Abstract: Work values aid not only in selecting an occupation or job but also in understanding workers expectations for their ideal job. Thus, work values are extremely important in the career-development process. Research is necessary because vocational high-school students enrol on schemes for personal career development as preparation for entering the workplace, and understanding work values should be an essential part of that preparation. A reliable and valid work-values scale for vocational high-school students (WVSVS) was developed using data from the Survey Research Data Archive at Taiwanese Academia Sinica. The data were derived from 1,710 subjects divided into three sample groups of 570. Data from the first sample group was used for exploratory factor analysis, the second for confirmatory factor analysis and the third as a verification sample for cross-validation. The WVSVS was scored for three work values (extrinsic, intrinsic and concomitant values): Extrinsic work values directly describe income, workplace, lifestyle and co-workers; intrinsic work values describe achievement, intellectual stimulation, advancement and interesting work; and concomitant work values explain responsibility, social service and moral values. The WVSVS could be used by teachers for guiding and understanding vocational high-school students work values in preparation for entering the workplace.
Keywords: scale development and validation; vocational high-school students; work values.
Learning web-based s-commerce purchasing behaviour in Taiwan: an advanced social cognitive perspective
by Chun-Hui Wu, You-Shyang Chen, Yih-Her Yan
Abstract: Social commerce (s-commerce) has grown rapidly across the world and has become one of the most important issues in academic studies. This study employs social cognitive theory to provide a social interaction perspective for understanding the interactions among beliefs towards electronic word-of-mouth (eWOM) (person cognition), trusted environment (environment), and consumer purchasing intention (behaviour) in the context of s-commerce. For providing a detailed understanding of the proposed model, an online-based questionnaire was used to collect cross-sectional data from s-commerce consumers in Taiwan. Research data were examined with the component-based partial least squares structural equation modelling approach (PLS-SEM). All research hypotheses are accepted. This study makes a research contribution by providing additional insights into how trusted social environment may be utilised to leverage eWOM adoption to influence consumers' purchasing intentions. Finally, implications for research and practice are discussed.
Keywords: social cognitive theory; SCT; social commerce; purchasing intention; electronic word-of-mouth; eWOM; social networks; Taiwan.
Recommendation research trends: review, approaches and open issues
by Anu Taneja, Anuja Arora
Abstract: Recommendation systems have been well established to reduce the problem of information overload and have become one of the most valuable tools applicable to different domains like computer science, mathematics, psychology, etc. The initial interest to write this survey is composing a concise research paper on the key motivation behind the various existing recommender systems and their techniques used in various domains. In this paper, prioritisation of recommendation keywords is presented in form of weighted keyword network along with keywords associations according to their usage in reference section literature. Consequently, this paper provides comprehensive details of various public datasets, their corresponding techniques, comparative analysis of existing recommendation approaches based on faced challenges and performance measures are examined. This study will help the researchers and academicians in quickly understanding the existing work and in planning future recommendation studies for designing a unified and coherent recommender system.
Keywords: recommender systems; keyword timeline review; keyword network; memory-based approach; model-based approach; hybrid filtering; performance measures; open issues; web technology; research trends.
Using the balanced scorecard to measure the effectiveness of knowledge management projects in Chinese enterprises
by Eric K.W. Lau
Abstract: A firm's organisational knowledge, which provides its competitive advantage, must be protected, managed, and effectively shared among employees; a function known as knowledge management. This study of Chinese firms, informed by a literature review, examines various knowledge management projects, using the balanced scorecard. The scorecard found significant differences between state-owned and private enterprises, and identified two critical determinants of satisfaction with such projects; how well they supported the financial functions, and the customer-service functions, of the firm.
Keywords: knowledge management; KM; balanced scorecard; knowledge management effectiveness.