Purpose E-learning has become an increasingly prevalent learning approach in higher educational institutions due to the fast growth of internet technologies in India. This paper aims to mainly focus on evaluating the effectiveness of the e-learning experience from students’ perceptive. Design/methodology/approach “Survey” method has been used to collect the data with the help of a structured questionnaire from the students who have registered on COURSERA (www.coursera.org/) website for e-learning. The questionnaire consisted of two sections e-learning system and e-learning effectiveness. E-learning system included items related to system quality, information quality and service quality. E-learning effectiveness dimension included user satisfaction and net benefits. The items in this section were measured on a five-point Likert scale ranging from strongly disagrees to strongly agree. The data collected have been analyzed using the SPSS version 17.0 and AMOS version 21.0. Findings Results show that system quality and service quality contribute more in e-learning system compared to information quality. Students perception may be that information available on the website may not be very useful as it’s a one-way mode of communication. The researcher also found that the three dimensions (system quality, service quality and information quality) of e-learning system contributes to user satisfaction and net benefits. Students are satisfied with e-learning websites and intent to continue to use it in future as well. They also found it beneficial as it helps them in career growth and making them employable. Originality/value This paper proposed a second-order model of e-learning system and a second-order model e-learning effectiveness. E-learning system has been defined by three first-order constructs: a system quality, service quality and information quality. E-learning effectiveness has been defined by two first-order constructs: a user satisfaction and net benefits. The predictability of the proposed model is high to explain the impact of e-learning system on e-learning effectiveness.

Purpose Benchmarking is a very important tool to know the gap in your performance and best performance. It is possible to apply benchmarking in a wide variety of area. This paper uses benchmarking for assessing women entrepreneurship. Women entrepreneurship is a symbol of the balanced growth of the society. Financial inclusion schemes offered by the government are aimed to encourage a large number of women of the country to entrepreneurship. The purpose of this paper is to examine the effect of financial inclusion and others factor like family circumstances, benchmarking, entrepreneurial motivation and entrepreneurial intention of women on their decision to take up entrepreneurship as a career choice. Design/methodology/approach This research study is undertaken to understand the relation of financial inclusion schemes on women entrepreneurship and also to develop a cause–effect relationship. Here, financial inclusion effort is an independent variable, whereas women entrepreneurship is a dependent variable. A sample size of 250 women entrepreneur was taken. The sample was selected on the basis of convenience. Out of the total sample, 125 women belonged to the self-help group and 125 women were registered under the RSETI program of lead banks of Haridwar and Dehradun districts of the Uttarakhand state of India. Findings The results of the present study indicate that there is a statistically significant impact of financial inclusion on women entrepreneurship. It provides the platform to the women that help them in establishing a new business. Research limitations/implications Data for present study were collected from two districts of Uttarakhand. In future, data can be collected from different geographical areas of India for generalizing the findings of the study. Practical implications The results of present study indicate that there is a statistically significant impact of financial inclusion on women entrepreneurship. It provides the platform to the women that help them in establishing a new business. For promoting women toward entrepreneurship, the government has launched many schemes. Social implications After the study, the author found that the society will accept the fact that women entrepreneurship is emerging as a dire need for the country. Originality/value The author followed all the guidelines that were concerned about the originality of the paper. This paper is not under review of any journal.

In this study we have tried to examine the effect of individual factors like intelligence, past self employment experience, past work experience and educational course of professional students on their decision to take up entrepreneurship as a career choice. It is a quantitative study wherein we have taken data of 530 young students studying in the final year of various professional courses (MBA/PGDM, MCA, B.Tech, BHMCT & B.Pharm) of Uttarakhand state of India. The student target population chosen for this study was in the age group of 20-24 years. The male & female ratio of this study was 75 & 25 respectively. Data analysis has been done using Cross tabulation and Chi square test. The results showed that past self-employment experience has a negative impact on student's entrepreneurial inclination. No relationship was seen between the work experience (typically less than 3 years) and entrepreneurial inclination. Students scoring high on intelligence were seen to have no or little entrepreneurial inclination and students who were in MBA/ PGDM, MCA & BHMCT courses were little better inclined towards entrepreneurship in comparison to the rest of the courses.

In this study we have tried to evaluate the affect of perceived barriers to entrepreneurship on the career choice intentions of students with special reference to taking up entrepreneurship as a career choice. It is a quantitative study wherein we have taken data of 530 young students studying in the final year of various professional courses of Uttarakhand state of India. The results confirmed relationship between the strength of perceived barriers to entrepreneurship and their decision to take up entrepreneurship as a preferred career choice. A relationship was also established between the personality type of student and his strength of perceived barriers.

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