Analysis of the Consumer Perceptions of Online Shopping: Case of Bangladesh
DOI:
https://doi.org/10.18034/abr.v13i1.654Keywords:
Online Shopping, Bangladesh, Chuadanga, Consumer, Consumer PerceptionAbstract
Though online shopping has become a new type of retail shopping, it has been adopted worldwide, including in Bangladesh, influencing ordinary citizens' lives. In Bangladesh, consumers have not been habituated to online shopping frequently. This study aims to identify consumer perceptions of online shopping in Bangladesh. The study has 140 sample sizes from the Chuadanga district by forming a self-structured closed-ended Questionnaire. The SPSS version 16.0 statistical tool is used in this study. Several statistical tools, like frequency tests and percentages, were used to measure the objective. We found that consumers are primarily young, below 30 ages, who shop online to save time, and for available varieties of products and services and prefer to pay through cash on delivery method. Most consumers feel risk in online shopping and are also concerned about the security of the payment system. Overall, Consumers are satisfied with online shopping. Also, this study has a few limitations. Future research with a larger sample size and additional variables is recommended.
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References
Adnan, H. (2014). An analysis of the factors affecting online purchasing behavior of Pakistani consumers. International Journal of Marketing Studies, 6(5), 133-148. DOI: https://doi.org/10.5539/ijms.v6n5p133
Ahmed. A. A. A., Asadullah, A. B. M., & Rahman, M. (2015). NGO's Financial Reporting and Human Capital Development. American Journal of Trade and Policy, 2(3), 167-174. DOI: https://doi.org/10.18034/ajtp.v3i2.401
Aldás-Manzano, J., Lassala-Navarré, C., Ruiz-Mafé, C., & Sanz-Blas, S. (2009). The role of consumer innovativeness and perceived risk in online banking usage. International Journal of Bank Marketing, 27(1), 53-75. DOI: https://doi.org/10.1108/02652320910928245
Ali, T. (2016). Factors Deriving Consumers' Repurchase Intention in Online Shopping: A Pakistani Consumer’s Perspective. International Journal of Management Sciences and Business Research, 5(12).
Amin, R., & Rahman, M. (2018). Artificial Intelligence and IoT, its Effect in Dairy Farm Business. Malaysian Journal of Medical and Biological Research, 5(2), 131-140. DOI: https://doi.org/10.18034/mjmbr.v5i2.516
Bianchi, C., & Andrews, L. (2012). Risk trust and consumer online purchasing behavior: A Chilean perspective. International Marketing Review, 29(3), 253-276. DOI: https://doi.org/10.1108/02651331211229750
Bodepudi, A., Reddy, M., Gutlapalli, S. S., & Mandapuram, M. (2021). Algorithm Policy for the Authentication of Indirect Fingerprints Used in Cloud Computing. American Journal of Trade and Policy, 8(3), 231–238. https://doi.org/10.18034/ajtp.v8i3.651 DOI: https://doi.org/10.18034/ajtp.v8i3.651
Bulut, Z. A. (2015). Determinants of Repurchase Intention in Online Shopping: A Turkish Consumer's Perspective. International Journal of Business and Social Science, 6(10).
Chen, L. (2009). Online consumer behavior: An empirical study based on the theory of planned Behavior. Doctoral dissertation, University of Nebraska
Cheung, C. M. K., Chan, G. W. W., and Limayem, M. (2005). A critical review of online consumer behavior: Empirical research. Journal of Electronic Commerce in Organizations, 3(4), 1-19. http://dx.doi.org/10.4018/jeco.2005100101 DOI: https://doi.org/10.4018/jeco.2005100101
Dennan, J., Mort, G.S., Previte, J. (2006). Privacy, risk perception, and expert online behavior an exploratory study of Household and Users. Journal of Organizational and End User Computing, 18(1), 1-21. DOI: https://doi.org/10.4018/joeuc.2006010101
Dittmar, H., Long, K., and Meek, R. (2004). Buying on the Internet: Gender differences in online and conventional buying motivation, Sex Roles, 50(5–6), 423–444. DOI: https://doi.org/10.1023/B:SERS.0000018896.35251.c7
Ganguly, B., Dash, S.B., Cyr, D., & Head, M. (2010). The effects of website design on purchase intention in online shopping: the mediating role of trust and the moderating role of culture. International Journal of Electronic Business, 8(4-5), 302–330. DOI: https://doi.org/10.1504/IJEB.2010.035289
Garbarino, E., and Strahilevitz, M. (2004). Gender differences in the perceived risk of buying online and the effects of receiving a site recommendation. Journal of Business Research, 57, 768-775. http://dx.doi.org/10.1016/S0148-2963(02)00363-6 DOI: https://doi.org/10.1016/S0148-2963(02)00363-6
Geissler, G. L., and Zinkhan, G. M. (1998). Consumer Perceptions of the World Wide Web: An exploratory study using focus group interviews. Advances in Consumer Research, 25(1), 386-392.
Griffin, A. & Viehland, D. (2011). Demographic factors in assessing perceived risk in online shopping. The 13th International Conference on Electronic Commerce – ICEC (August 2-5), Liverpool, UK. DOI: https://doi.org/10.1145/2378104.2378113
Guo, X., Ling, K.C., & Liu, M. (2012). Evaluating Factors Influencing Consumer Satisfaction towards Online Shopping in China. Asian Social Science, 8(13), 40-50. DOI: https://doi.org/10.5539/ass.v8n13p40
Gutlapalli, S. S. (2016). Commercial Applications of Blockchain and Distributed Ledger Technology. Engineering International, 4(2), 89–94. https://doi.org/10.18034/ei.v4i2.653 DOI: https://doi.org/10.18034/ei.v4i2.653
Gutlapalli, S. S. (2017a). Analysis of Multimodal Data Using Deep Learning and Machine Learning. Asian Journal of Humanity, Art and Literature, 4(2), 171–176. https://doi.org/10.18034/ajhal.v4i2.658 DOI: https://doi.org/10.18034/ajhal.v4i2.658
Gutlapalli, S. S. (2017b). An Early Cautionary Scan of the Security Risks of the Internet of Things. Asian Journal of Applied Science and Engineering, 6, 163–168. Retrieved from https://ajase.net/article/view/14
Hasan, M. N., Afrin, S., Rahman, M., & Ahmed, A. A. A. (2020). Assessing the Nature of Job Satisfaction Level: A Study on Private Bank Employees in Bangladesh. Global Disclosure of Economics and Business, 9(2), 67-88. DOI: https://doi.org/10.18034/gdeb.v9i2.511
Hashim, A. and Ghani, E. K., and Said, J. (2009). Does Consumers Demographic Profile Influence Online Shopping? An Examination Using Fishbeins Theory. Canadian Social Science, 5(6), 19-24
Häubl, G., and Murray, K. B. (2003). Preference construction and persistence in digital marketplaces: The role of electronic recommendation agents. Journal of Consumer Psychology, 13(1), 75–91. http://dx.doi.org/10.1207/153276603768344807 DOI: https://doi.org/10.1207/153276603768344807
Hoque, M. R., Ali, M. A., and Mahfuz, M. A. (2015). An Empirical Investigation on the adoption of e-Commerce in Bangladesh. Asia Pacific Journal of Information Systems, 25 (1). https://doi.org/10.14329/apjis.2015.25.1.001 DOI: https://doi.org/10.14329/apjis.2015.25.1.001
Huang, P., & Sycara, K. (2002). A computational model for online agent negotiation. System Sciences Proceedings of the 35th Hawaii International Conference, Hawaii. DOI: https://doi.org/10.1109/HICSS.2002.993892
Huang, S., & Lin, F. (2007). The design and evaluation of an intelligent sales agent for online persuasion and negotiation. Electronic Commerce Research and Applications, 6(3), 285–296. http://dx.doi.org/10.1016/j.elerap.2006.06.001 DOI: https://doi.org/10.1016/j.elerap.2006.06.001
Javadi, M. H. M., Dolatabodi, H. R., Nourbakhah, M., Poursaeedi, A., Asadollahi, A. R. (2012). An Analysis of Factors Affecting Online Shopping Behavior of Consumers. International Journal of Marketing Studies, 4(5), 80-98. DOI: https://doi.org/10.5539/ijms.v4n5p81
Katawetawaraks, C., and Wang, C. L. (2011). Online shopper behavior: Influences of online shopping decision. Asian Journal of Business Research, 1(2). https://doi.org/10.14707/ajbr.112 DOI: https://doi.org/10.14707/ajbr.110012
Keeney, R. (1999). The Value of Internet Commerce to the Customer. Management Science, 45(4), 533-542. DOI: https://doi.org/10.1287/mnsc.45.4.533
Ko, H., Jung, J., Kim J., and Shim, S.W. (2004). Cross-cultural differences in perceived risk of online shopping. Journal of Interactive Advertising, 4(2), 20-29. DOI: https://doi.org/10.1080/15252019.2004.10722084
Kotler, P. (2000). Marketing Management. Millennium Edition. Pearson Customer Publishing.
Lee, K.S., and Tan, S.J. (2003). E-retailing Versus Physical Retailing: A Theoretical Model and Empirical Test of Consumer Choice. Journal of Business Research, 56(11), 877–885. DOI: https://doi.org/10.1016/S0148-2963(01)00274-0
Liebermann, Y., & Stashevsky, S. (2009). Determinants of Online Shopping: Examination of an early–stage Online Market. Canadian Journal of Administrative Sciences, 26(4), 316-325. DOI: https://doi.org/10.1002/cjas.121
Lim, Y. M., Cheng, B. L., Cham, T. H., Ng, C. K. Y., and Tan, J. X. (2019). Gender Differences in Perceptions and Attitudes toward Online Shopping: A Study of Malaysian Consumers. Journal of Marketing Advances and Practices, 1(2), 11-24.
Lin, X., Featherman, M., Brooks, S. L., & Hajli, N. (2018). Exploring gender differences in online consumer purchase decision making: An online product presentation perspective. Information Systems Frontiers, 1–15. DOI: https://doi.org/10.1007/s10796-018-9831-1
Masoud, E. Y. (2013). The Effect of Perceived Risk on Online Shopping in Jordan. European Journal of Business and Management, 5(6).
Mudambi, S. M., and Schuff, D. (2010). What makes a helpful online review? A study of customer reviews on Amazon.com. MIS Quarterly, 34(1), 185–200. https://doi.org/10.2307/20721420 DOI: https://doi.org/10.2307/20721420
Park, C. H., & Kim, Y. G. (2003). Identifying key factors affecting consumer purchase behavior, in an online shopping context. International Journal of Retail & Distribution Management, 31(1), 16-29. https://doi.org/10.1108/09590550310457818 DOI: https://doi.org/10.1108/09590550310457818
Pavlou, P. A., and Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: An extension of the theory of planned Behavior. MIS Quarterly, 30(1), 115-143. DOI: https://doi.org/10.2307/25148720
Rahman, M. A., Islam, M.A., Esha, B.H., Sultana, N., & Chakravorty, S. (2018). Consumer buying behavior towards online shopping: An empirical study on Dhaka city, Bangladesh. Cogent Business & Management, 5(1), 1514940, https://doi.org/10.1080/23311975.2018.1514940 DOI: https://doi.org/10.1080/23311975.2018.1514940
Rahman, M. M., Hussain, M. T., Salam, F., Hussain, M. S., & Talukdar, M. H. (2022). Career preferences of Bangladeshi public university business students. American Journal of Trade and Policy, 9(3), 111-118. DOI: https://doi.org/10.18034/ajtp.v9i3.645
Rahman, M. M., Pasupuleti, M. B., & Adusumalli, H. P. (2019). Advanced Metering Infrastructure Data: Overviews for the Big Data Framework. ABC Research Alert, 7(3), 159-168. DOI: https://doi.org/10.18034/ra.v7i3.602
Rahman, M., & Amin, R. (2020). Artificial Intelligence Waves on Space Computation Management: A Review Report. Engineering International, 8(2), 53-60. DOI: https://doi.org/10.18034/ei.v8i2.500
Rahman, M., Ashraf, A., Hasan, N., Hoshen, S., Chowdhury, R. H. K, & Moni, M. A. (2017). Job Satisfaction Levels among Employees of Private Commercial Banks at Chuadanga District in Bangladesh. J Bus Fin Aff, 6(2), 1–8.
Rahman, M., Chowdhury, R. H. K., Islam, A., Tohfa, U., Kader, A., Ahmed. A. A. A., & Donepudi, P. K. (2020). Relationship between Socio-Demographic Characteristics and Job Satisfaction: Evidence from Private Bank Employees. American Journal of Trade and Policy, 7(2), 65–72. DOI: https://doi.org/10.18034/ajtp.v7i2.492
Rahman, M., Hussain, M. T., Moon, S. P., Tisha, M. M. & Lima, M. T. (2021). Impact of customer relationship management on organizational performance: A study from the perspective of Bangladesh. American Journal of Trade and Policy, 8(3), 225–230. DOI: https://doi.org/10.18034/ajtp.v8i3.609
Reddy, M., Bodepudi, A., Mandapuram, M., & Gutlapalli, S. S. (2020). Face Detection and Recognition Techniques through the Cloud Network: An Exploratory Study. ABC Journal of Advanced Research, 9(2), 103–114. https://doi.org/10.18034/abcjar.v9i2.660 DOI: https://doi.org/10.18034/abcjar.v9i2.660
Rungsrisawat, S., Joemsittiprasert, W. and Jermsittiparsert, K. (2019). Factors Determining Consumer Buying Behavior in Online Shopping. International Journal of Innovation, Creativity, and Change, 8(8).
Sam, C. Y., & Sharma, C. (2015). An Exploration into the Factors Driving Consumers in Singapore Towards or Away from the Adoption of Online Shopping, Global Business, and Management Research, 7(1), 60-73.
Sharma, P., I. Chen, and Luk, S. (2012). Gender and Age as Moderators in the Service Evaluation Process. Journal of Services Marketing, 26(2), 102-114. DOI: https://doi.org/10.1108/08876041211215266
Sing, D. A. K., and Sailo, M. (2013). Consumer Behavior in Online Shopping: A Study of Aizawl. International Journal of Business & Management Research (IJBMR), 1(3), 45-49.
Sylke, V. C., Belanger F., and Comunale, C. L. (2002). Gender differences in perceptions of Web-based shopping. Communications of the ACM, 45(8), 82-86. http://dx.doi.org/10.1145/545151.545155 DOI: https://doi.org/10.1145/545151.545155
Szymanski, D. M. and Hise, R. T. (2000). E-satisfaction: An initial examination. Journal of Retailing, 76(3), 309-322. DOI: https://doi.org/10.1016/S0022-4359(00)00035-X
Wen, C., Prybutok, V. R. and Xu, C. (2011). An integrated model for customer online repurchase intention. Journal of Computer Information Systems, 52(1), 14-23.
Wu. S. (2003). The relationship between consumer characteristics and attitude toward online shopping. Marketing Intelligence Planning, 21(1), 37-44. DOI: https://doi.org/10.1108/02634500310458135
Xiao, B., and Benbasat, I. (2007). E-commerce product recommendation agent: Use, characteristics, and impact. MIS Quarterly, 31(1), 137-209. DOI: https://doi.org/10.2307/25148784
Zhou, L., Dai, L. and Zhang, D. (2007). Online Shopping Acceptance Model-A critical survey of consumer factors in Online Shopping. Journal of Electronic Commerce Research, 8(1), 41-56.
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