@article{2808,
  author = {Manimalar. R, Krithika. M, Fabian Andrew James},
  title = {Online Book Acquisition Practices: A Study},
  journal = {Progress in Machines and Systems},
  year = {2019},
  volume = {8},
  number = {2},
  doi = {https://doi.org/10.6025/pms/2019/8/2/39-47},
  url = {http://www.dline.info/pms/fulltext/v8n2/pmsv8n2_1.pdf},
  abstract = {Purpose: In the last few years, Internet penetrates the life of the people and many decisions are made based on the web information and the decision process is based on the availability of many options. One such major activity where people use the web is for the selection of books which becomes an online process. There are several online platforms available to the end users to make purchase decision. In this work we selected a few online book selection platforms and
made an extensive analysis of the data extracted from these online platforms.
Design/Methodology: For the data collection we have used the questionnaire using confirmatory factor analysis and Structural equation model. These two systems were used to measure the relationship between the variables. We have employed a few variables such as how the measure is valid, how it is flexible and what is the ease of access. The questionnaire is used to draw
data from a group of selected students who used online book selection tools.
Findings: The findings reveal that internet technology has invaded the minds of the young people towards online purchase of books, course materials and chat with professional experts. Reliability, Openness, Feasibility are the most influential variables that trigger the young minds to shop books online. The SEM model was found to acceptable and there was a good
fit among the variables.
Practical Implications: The paper analyses the most predominant factor that influences the online shopping behavior of young people. To be successful, the online book sellers should be aware about the variables that capture the young minds to go for online shopping. This study also enables the online retailers to know which factor increases the future online book
purchases.
Originality/Value: The system we have used ensures novelty in our approaches. The model is able to extract the significant data and lead to the useful inferences. This work enables to draw the preferences and judge the variables that play role in selection of the books and finally it gives an understanding the satisfaction level and trust towards online book stores.
},
}