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With the influx of the Internet, Business to Customer E-commerce (B2c e-Commerce) has gained popularity around the globe. Although a number of researches has been done to know the factors affecting the adoption of e-commerce, however, not much research has done to know the effects of e-commerce on online shopping success.  DeLone and McLean introduced the Information System (IS) success model in year 1992, later on, refined the same model with the newer concept, to fully understand the effects of IS success. In this paper, authors have used the DeLone and McLean IS success model 2003 with addition two constructs Privacy and Trust.  Seven interrelated dimensions of e-commerce were examined namely, Service Quality, System Quality, Trust, Privacy, User satisfaction and Net benefits. The proposed model and the relationship between the various constructs were measured by gathering the data from 381 users from the business faculty of Klang valley universities in Malaysia. Seven interconnected dimensions of B2C e-commerce success were confirmed namely, Service Quality, System Quality, Information Quality, Trust, Privacy along with User Satisfaction and Net Benefits. Confirmatory Factor Analysis CFA and SEM were used to analyse the collected data and proved the hypothesis. The results revealed that system quality, service quality, trust and privacy are directly related to user satisfaction which in turn directly related to net benefits, whereas information quality has no any influence on user satisfaction in terms of e-commerce.

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Web engineering is a growing multidisciplinary paradigm that has hardly begun to curiosity the interest, researchers, and other key actors involved in developing web-based systems. Therefore, the effect of web engineering applications on e-learning systems should be investigated to guarantee that the web’s potential for supporting the learning process is appropriately used. The objective of the study highlights the advantages, benefits, and contributions of web engineering in developing e-learning systems. This is qualitative research. The primary data was collected via an in-depth study of pertinent research studies. The second tool was an interview with the e-learning systems developers. The results showed that the most influential web engineering tools to develop e-learning systems. Moreover, the main areas of development of e-learning systems include changing the learning environment characteristics, changing student behaviour, changing roles, and incorporating artificial intelligence (AI). The results also showed that web applications' main challenges in e-learning systems include technologies, adaptability, lack of experience and training, lack of funding, changing student preferences and needs, the gap between the mobile and computer versions, and security threats, job-overload, and time. It was found that web engineering has a significant role in developing e-learning applications.

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Online shopping has gained high popularity across all groups of society in Malaysia since its commencement and continued to grow every day. Malaysia being the central hub of South-East Asia has been considered as a favourite place for shopaholic people for physical shopping and the same trend is seen in terms of online shopping. While the socioeconomic characteristics of society have been studied to measure various consumer behaviours within different contexts including Malaysia. However, the Malaysians attitude towards online purchase behaviour is one of the significant areas that need to be investigated, hence, this study focuses on measuring the socioeconomic attitude towards online purchase intention . A total of 400 complete questionnaire were collected by using convenience sampling method within shopping malls of Klang Valley region through face to face questionnaires distribution technique. Two inferential statistical tests were used to measure the relationship between various characteristics of socioeconomics group towards the online purchase intention . These tests were independent sample T-test and univariate analysis of variance (ANOVA). A t-test was used to evaluate the effect of gender towards the online purchase intention , whereas one-way ANOVA was performed to check the significant effect of age, monthly income, and education towards the online purchase intention . The results revealed that there is a significant difference based on the age and income; while individuals with higher income shop more as compared to individuals with less income and the individuals within the income group of 5000 to 7000 shop more as compared to other income groups. Whereas, individuals between the age group of 41 to 50 shopped more as compared to other age groups. Furthermore, the results also revealed that there was no significant difference found in terms of gender and education, male and female shopped online despite of their gender and education background.

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