This paper conducts a survey on bookstore. The chief focus of this survey is to understand business performance of this store (Premalatha et al., 2018). The selected bookstore is situated on the Doon campus of Conestoga College. The chosen store sells textbooks to students of this college. To understand this business performance of this bookstore, the paper chiefly focuses on consumer review.
To understand the performance of this bookstore of Conestoga College, the paper has conducted 71 surveys for receiving primary data. To take interview from people, the paper has set a questionnaires containing with 10 questions (Xie et al., 2016). The researcher has taken interview from the students of Doon campus of Conestoga College. Each of interviewees purchases books from this bookstore. The survey focuses on the probability and frequency of book purchase of these interviewees from this selected store. Moreover, the survey also focuses on the quality of customer service provided by this book store.
The researcher, in this context, considers only primary research. Thus, the researcher does not consider any secondary data.
The outcome of this survey is helpful for the selected bookstore. The store can understand requirements of its customers. Moreover, the store can also understand about preference of its customers in terms of convenience, price, quality and selection. The survey collected primary data and the chance of getting biased outcome is very small in this situation. However, the survey could include more responses for getting more accurate answer.
The research can further analyse this through selecting more than 100 responses. Moreover, the survey may focus on secondary data to understand previous trend of this bookstore.
Premalatha, M., Viswanathan, V., Suganya, G., Kaviya, M., & Vijaya, A. (2018). Educational Data Mining and Recommender Systems Survey. International Journal of Web Portals (IJWP), 10(1), 39-53.
Xie, F., Colantonio, L. D., Curtis, J. R., Safford, M. M., Levitan, E. B., Howard, G., & Muntner, P. (2016). Linkage of a population-based cohort with primary data collection to Medicare claims: the reasons for geographic and racial differences in stroke study. American journal of epidemiology, 184(7), 532-544.