Online Purchasing Behavior among Bangladeshi Young Generation: Influencing Factors and Impact

Authors

  • Sayma Sadia Shawon Shahjalal University of Science and Technology
  • Md Ali Hasan Pundra University of Science and Technology
  • Abdur Rakib Nayeem Times University Bangladesh
  • Md. Bashir Uddin Sylhet International University

DOI:

https://doi.org/10.18034/abr.v8i3.163

Keywords:

Online shopping, Financial Risk, Product Risk, Convenience Risk, Non-delivery Risk, Return Policy, Bangladesh

Abstract

Online shopping is a genius that is developing quickly these days. There is as yet an important piece of market potential for online based business in spite of the expansion of the primary players in this industry. Therefore, this investigation looks at the variables influencing on client's conduct of internet shopping that may be a pivotal part of online business and showcasing industry. However, this is a requesting social pattern and there are numerous reasons it was excessively troublesome, making it impossible to discover about online shopper conduct. The reason for this examination is to manage the shortcomings of internet shopping conduct that the past investigation did not assess yet. This goal is utilizing a model by looking at the effect of Financial Risk, Product Risk, Convenience Risk, Non-delivery Risk, and Return Policy on state of mind toward web based shopping conduct of purchasers as the speculations of study. Straightforward irregular examining polls were dispersed to 200 online stores of Bangladesh. At long last, every one of the information was gathered and relapse investigation was utilized to test the theories of the exploration. Additionally, the discoveries confirmed that both money related risk and non-conveyance chance have negative impacts in web based shopping, and the examination likewise connoted that specific framework advancement and individual standards have a constructive outcome web based shopping conduct. What's more, the demeanour has decidedly influenced client's online based shopping conduct.

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Author Biographies

Sayma Sadia Shawon, Shahjalal University of Science and Technology

Department of Business Administration, Shahjalal University of Science and Technology, Sylhet, BANGLADESH

Md Ali Hasan, Pundra University of Science and Technology

Department of Business Administration, Pundra University of Science and Technology, Bogra, BANGLADESH

Abdur Rakib Nayeem, Times University Bangladesh

Department of Business administration, Times University Bangladesh, Faridpur, BANGLADESH

Md. Bashir Uddin, Sylhet International University

Department of Business Administration, Sylhet International University, Sylhet, BANGLADESH

References

Adnan, H. (2014). An analysis of the factors affecting online purchasing behavior of Pakistani consumers. International Journal of Marketing Studies, Yeniçeri, T., & Akin, E. (2013). Determining Risk Perception Differences between Online Shoppers and Non-Shoppers in Turkey. International Journal of Social Sciences, 11(3), 135-143.6(5), 133.

Barnes, S. J., Bauer, H. H., Neumann, M. M., & Huber, F. (2007). Segmenting cyberspace: a customer typology for the internet. European journal of marketing, 41(1/2), 71-93.

Claudia, I. (2012). Perceived risk when buying online: Evidence from a semi-structured interview. Economics series, 22(2), 63-73.

Cunningham, L. F., Gerlach, J. H., Harper, M. D., & Young, C. E. (2005). Perceived risk and the consumer buying process: Internet airline reservations. International Journal of Service Industry Management, 16(4), 357-372.

Dan, Y., & Kim, D. J. (2007). Customer self-service systems: The effects of perceived Web quality with service contents on enjoyment, anxiety, and e-trust. Decision support systems, 43(3), 746-760.

Eastlick, M. A., Lotz, S. L., & Warrington, P. (2006). Understanding online B-to-C relationships: An integrated model of privacy concerns, trust, and commitment. Journal of Business Research, 59(8), 877-886.

Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Addison-Wesley Pub. Co.

Forsythe, S., Liu, C., Shannon, D., & Gardner, L. C. (2006). Development of a scale to measure the perceived benefits and risks of online shopping. Journal of interactive marketing, 20(2), 55-75.

Foscht, T., Ernstreiter, K., Maloles III, C., Sinha, I., & Swoboda, B. (2013). Retaining or returning? Some insights for a better understanding of return behaviour. International Journal of Retail & Distribution Management, 41(2), 113-134.

Gasper, G., & Rahman, M. (2004). Basic hypergeometric series (Vol. 96). Cambridge university press.

George, N. J., Bolvin, D. T., Nelkin, E. J., Wolff, D. B., Adler, R. F., Gu, G., ... & Stocker, E. F. (2007). The TRMM multisatellite precipitation analysis (TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales. Journal of hydrometeorology, 8(1), 38-55.

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152.

Hansen, T. (2008). Consumer values, the theory of planned behaviour and online grocery shopping. International Journal of Consumer Studies, 32(2), 128-137.

Hwang, Y., & Kim, D. J. (2007). Customer self-service systems: The effects of perceived Web quality with service contents on enjoyment, anxiety, and e-trust. Decision support systems, 43(3), 746-760.

Jahng, J., Jain, H., & Ramamurthy, K. (2001). The impact of electronic commerce environment on user behavior: the case of a complex product. E-Service, 1(1), 41-53.

Liu, K., & Muse, S. V. (2005). PowerMarker: an integrated analysis environment for genetic marker analysis. Bioinformatics, 21(9), 2128-2129.

Noh, H., Hong, S., & Han, B. (2015). Learning deconvolution network for semantic segmentation. In Proceedings of the IEEE international conference on computer vision (pp. 1520-1528).

Passey, Q. R., Bohacs, K., Esch, W. L., Klimentidis, R., & Sinha, S. (2010, January). From oil-prone source rock to gas-producing shale reservoir-geologic and petrophysical characterization of unconventional shale gas reservoirs. In International oil and gas conference and exhibition in China. Society of Petroleum Engineers.

Pratminingsih, S. A., Lipuringtyas, C., & Rimenta, T. (2013). Factors influencing customer loyalty toward online shopping. International Journal of Trade, Economics and Finance, 4(3), 104-110.

Rogers, D. S., & Tibben-Lembke, R. S. (1999). Going backwards: reverse logistics trends and practices (Vol. 2). Pittsburgh, PA: Reverse Logistics Executive Council.

Shim, S., Eastlick, M. A., Lotz, S. L., & Warrington, P. (2001). An online prepurchase intentions model: the role of intention to search: best overall paper award—the sixth triennial AMS/ACRA retailing conference, 2000☆ 1. Journal of retailing, 77(3), 397-416.

Stoel, R. (2005). Focus in Manado Malay: Grammar, particles, and intonation. CNWS publications.

Vaidehi, P. U. (2014). Factors influencing online shopping behavior of students in engineering colleges at Rangareddy district. Sumedha Journal of Management, 3(1), 50.

Yang, Z. (2007). PAML 4: phylogenetic analysis by maximum likelihood. Molecular biology and evolution, 24(8), 1586-1591.

Yeniçeri, T., & Akin, E. (2013). Determining Risk Perception Differences between Online Shoppers and Non-Shoppers in Turkey. International Journal of Social Sciences, 11(3), 135-143.

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Published

2018-09-25

How to Cite

Shawon, S. S., Hasan, M. A., Nayeem, A. R., & Uddin, M. B. (2018). Online Purchasing Behavior among Bangladeshi Young Generation: Influencing Factors and Impact. Asian Business Review, 8(3), Art. #17, pp. 123–128. https://doi.org/10.18034/abr.v8i3.163

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