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2021 | nr 1 (12) | 4--18
Tytuł artykułu

Predicting Consumers' Intention to Shop Online in an Emerging Market: A COVID-19 Perspective

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
As an emerging economy, Bangladesh has witnessed a remarkable development in adopting information and communication technologies over the last decade. Hence, the fi eld of e-commerce is expanding rapidly and consumers are now using the internet as an alternative channel for buying. The fundamental purpose of this study is to predict consumers' intention to purchase online during the COVID-19 pandemic in Bangladesh. Based on the Theory of Planned Behavior (TPB), this study attempts to explore certain factors (attitude towards online shopping, subjective norms, perceived behavioral control) aff ecting consumers' online buying intention. A structured questionnaire has been used to collect the primary data through the CAWI survey method. A total of 157 respondents have participated in this study from diff erent universities in Sylhet city, Bangladesh. This study employed multiple regression analysis to test the proposed research model. The fi ndings indicate that all the predictors have a signifi cant impact on consumers' behavioral intention to do online shopping during the COVID-19 pandemic. However, any developing country like Bangladesh has a genuine need for more research works on the e-commerce fi eld. This study provides some valuable insights into the adoption of the online shopping system in an emerging economy which helps the e-commerce industry to understand online consumers' behavior to develop various marketing strategies accordingly. The study also contributes to the body of knowledge both at the academic and practical levels. (original abstract)
Rocznik
Numer
Strony
4--18
Opis fizyczny
Twórcy
  • Metropolitan University, Sylhet
  • Metropolitan University, Sylhet
autor
  • Global University Bangladesh
Bibliografia
  • 1. Ahn, T., Ryu, S., & Han, I. (2004). The impact of the online and offline features on the user acceptance of internet shopping malls. Electronic Commerce Research and Applications, 3(4), 405-420. https://doi.org/10.1016/j.elerap.2004.05.001
  • 2. Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In Action control (pp. 11-39). Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-642-69746-3_2
  • 3. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
  • 4. Ajzen, I. (2002). Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior 1. Journal of Applied Social Psychology, 32(4), 665-683. https://doi.org/10.1111/j.1559-1816.2002.tb00236.x
  • 5. Ajzen, I., & Fishbein, M. (1975). Belief, attitude, intention, and behaviour: An introduction to theory and research. Reading: Addison-Wesley.
  • 6. Ajzen, I., & Madden, T.J. (1986). Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control. Journal of Experimental Social Psychology, 22(5), 453-474. https://doi.org/10.1016/0022-1031(86)90045-4
  • 7. Alagoz, S.M., & Hekimoglu, H. (2012). A study on TAM: Analysis of customer attitudes in online food ordering system. Procedia-Social and Behavioral Sciences, 62, 1138-1143. https://doi.org/10.1016/j.sbspro.2012.09.195
  • 8. Albarq, A.N. (2006). Intention to shop online among university students in Jordan (Doctoral dissertation). Graduate School, Universiti Utara Malaysia.
  • 9. Al-Jabari, M.A., Othman, S.N., & Nik Mat, N.K. (2012). Actual online shopping behavior among Jordanian customers. American Journal of Economics. https://doi.org/10.5923/j.economics.20120001.28
  • 10. Al-Maghrabi, T., Dennis, C., & Halliday, S. V. (2011). Antecedents of continuance intentions towards e-shopping: The case of Saudi Arabia. Journal of Enterprise Information Management. https://doi.org/10.1108/17410391111097447
  • 11. Andrienko, O. (2020). Ecommerce & consumer trends during coronavirus [Blog post]. Retrived form https://www.semrush.com/blog/ecommerce-covid-19/.
  • 12. Armitage, C.J., & Connor, M. (2001). Effi cacy of the theory of planned behavior: A meta-analytic review. British Journal of Social Psychology, 40, 471-499. https://doi.org/10.1348/014466601164939
  • 13. Azam, A., & Qiang, F. (2014). Online consumer behaviour: Extension of decomposed theory of planned behavior with consumers' perception of online retailing ethics. International Journal of Electronic Business, 11(3), 199-219. https://doi.org/10.1504/IJEB.2014.063017
  • 14. Bandura, A., & McClelland, D.C. (1977). Social learning theory (Vol. 1). Englewood Cliff s: Prentice Hall.
  • 15. Behjati, S., Pandya, S., & Kumar, D. (2012). Application of structural equation modeling (SEM) to explain online purchasing intention - An extension of theory of planed behaviour (TPB). Industrial Engineering Letters, 2(6), 33-41.
  • 16. Bhattacherjee, A. (2000). Acceptance of e-commerce services: The case of electronic brokerages. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 30(4), 411-420. https://doi.org/10.1109/3468.852435
  • 17. Bhatti, A., Saad, S., & Gbadebo, S.M. (2020). Moderator trust, subjective norms influence risk and online shopping behavior of consumers. International Journal of Science & Technology Research, 9(1), 627-641.
  • 18. Blake, B.F., Neuendorf, K.A., & Valdiserri, C.M. (2003). Innovativeness and variety of internet shopping. Internet Research, 13(3), 156-169. https://doi.org/10.1108/10662240310478187
  • 19. Chaffey, D., Ellis-Chadwick, F., Mayer, R., & Johnston, K. (2009). Internet marketing: Strategy, implementation and practice. Pearson Education.
  • 20. Cheung, C.M., & Lee, M.K. (2003). An integrative model of consumer trust in internet shopping. ECIS 2003 Proceedings, 48.
  • 21. Chiu, W., Kim, T., & Won, D. (2018). Predicting consumers' intention to purchase sporting goods online. Asia Pacific Journal of Marketing and Logistics. https://doi.org/10.1108/APJML-02-2017-0028
  • 22. Choi, J., & Geistfeld, L.V. (2004). A cross-cultural investigation of consumer e-shopping adoption. Journal of Economic Psychology, 25(6), 821-838. https://doi.org/10.1016/j.joep.2003.08.006
  • 23. Delafrooz, N., Paim, L.H., & Khatibi, A. (2011). Understanding consumers' internet purchase intention in Malaysia. African Journal of Business Management, 5(7), 2837-2846.
  • 24. Dennis, C., Merrilees, B., Jayawardhena, C., & Wright, L.T. (2009). E-consumer behaviour. European journal of Marketing, 43(9/10), 1121-1139. https://doi.org/10.1108/03090560910976393
  • 25. Dharmesti, M., Dharmesti, T.R.S., Kuhne, S., & Thaichon, P. (2019). Understanding online shopping behaviours and purchase intentions amongst millennials. Young Consumers. https://doi.org/10.1108/YC-12-2018-0922
  • 26. Fishbein, M., Jaccard, J., Davidson, A.R., Ajzen, I., & Loken, B. (1980). Predicting and understanding family planning behaviors. In Understanding attitudes and predicting social behavior. Prentice Hall.
  • 27. Fornell, C., & Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50. https://doi.org/10.1177/002224378101800104
  • 28. Gakobo, T.W., Jere, M.G., & Griffi th, C. (2016). An application of the theory of planned behaviour to predict intention to consume African indigenous foods in Kenya. British Food Journal. https://doi.org/10.1108/BFJ-10-2015-0344
  • 29. Goldsmith, R.E. (2001). The influence of e-commerce attitudes on innovative online buying. Quarterly Journal of Electronic Commerce, 1(4), 15-22.
  • 30. Goldsmith, R.E., & Flynn, L.R. (2004). Psychological and behavioral drivers of online clothing purchase. Journal of Fashion Marketing and Management: An International Journal, 8(1), 84-95. https://doi.org/10.1108/13612020410518718
  • 31. Gregoire, C. (2013). Retail therapy: One in three recently stressed Americans shops to deal with anxiety. The Huffington Post, 82-104.
  • 32. Ha, N. (2020). The impact of perceived risk on consumers' online shopping intention: An integration of TAM and TPB. Management Science Letters, 10(9), 2029-2036. https://doi.org/10.5267/j.msl.2020.2.009
  • 33. Ha, N.T., Nguyen, T.L.H., Pham, T.V., & Nguyen, T.H.T. (2021). Factors influencing online shopping intention: An empirical study in Vietnam. The Journal of Asian Finance, Economics and Business, 8(3), 1257-1266.
  • 34. Han, B., Kim, M., & Lee, J. (2018). Exploring consumer attitudes and purchasing intentions of cross-border online shopping in Korea. Journal of Korea Trade. https://doi.org/10.1108/JKT-10-2017-0093
  • 35. Hartono, E., Holsapple, C.W., Kim, K.Y., Na, K.S., & Simpson, J.T. (2014). Measuring perceived security in B2C electronic commerce website usage: A specification and validation. Decision Support Systems, 62, 11-21. https://doi.org/10.1016/j.dss.2014.02.006
  • 36. Hasanat, M.W., Hoque, A., Shikha, F.A., Anwar, M., Hamid, A.B.A., & Tat, H.H. (2020). The impact of coronavirus (COVID-19) on e-business in Malaysia. Asian Journal of Multidisciplinary Studies, 3(1), 85-90.
  • 37. Hasbullah, N.A., Osman, A., Abdullah, S., Salahuddin, S.N., Ramlee, N.F., & Soha, H.M. (2016). The relationship of attitude, subjective norm and website usability on consumer intention to purchase online: An evidence of Malaysian youth. Procedia Economics and Finance, 35, 493-502. https://doi.org/10.1016/S2212-5671(16)00061-7
  • 38. Hathiramani, J. (2013, May 26). Sri Lanka online search up as much as 25 times. Sunday Times. Retrieved from http://www.sundaytimes.lk/130526/business-times/sri-lanka-online-search-up-as-muchas-25-times-google-45632.html
  • 39. Hidayanto, A.N., Saifulhaq, H., & Handayani, P.W. (2012, June). Do consumers really care on risks in online shopping? An analysis from Indonesian online consumers. In 2012 IEEE International Conference on Management of Innovation & Technology (ICMIT) (pp. 331-336). IEEE. https://doi.org/10.1109/ICMIT.2012.6225827
  • 40. Hsu, S.H., & Bayarsaikhan, B.E. (2012). Factors influencing on online shopping attitude and intention of Mongolian consumers. The Journal of International Management Studies, 7(2), 167-176.
  • 41. Hutchings, C. (2012). Commercial use of Facebook and Twitter - Risks and rewards. Computer Fraud & Security, (6), 19-20. https://doi.org/10.1016/S1361-3723(12)70065-9
  • 42. Islam, M.A., & Daud, K.A.K. (2011). Factors that influence customers' buying intention on shopping online. International Journal of marketing studies, 3(1), 128-139. https://doi.org/10.5539/ijms.v3n1p128
  • 43. Jaff ar, M.A., & Musa, R. (2016). Determinants of attitude and intention towards Islamic financing adoption among non-users. Procedia Economics and Finance, 37, 227-233. https://doi.org/10.1016/S2212-5671(16)30118-6
  • 44. Javadi, M.H.M., Dolatabadi, H.R., Nourbakhsh, M., Poursaeedi, A., & Asadollahi, A.R. (2012). An analysis of factors affecting on online shopping behavior of consumers. International Journal of Marketing Studies, 4(5), 81. https://doi.org/10.5539/ijms.v4n5p81
  • 45. Jones, K. (2020). The pandemic economy: What are shoppers buying online during COVID-19. Retrieved on 19 April 2020 from https://www.visualcapitalist.com/shoppers-buying-online-ecommerce-covid-19/.
  • 46. Khalifa, M., & Limayem, M. (2003). Drivers of internet shopping. Communications of the ACM, 46(12), 233-239. https://doi.org/10.1145/953460.953505
  • 47. Khare, A., & Rakesh, S. (2011). Antecedents of online shopping behavior in India: An examination. Journal of Internet Commerce, 10(4), 227-244. https://doi.org/10.1080/15332861.2011.622691
  • 48. Kitchen, P.J., Alwi, S.F.S., Che-Ha, N., & Lim, P.Y. (2014). Coupon redemption behaviour: A Malaysian crosssegment investigation. Marketing Intelligence & Planning, 23(1), 66-88. https://doi.org/10.1108/MIP-05-2013-0089
  • 49. Levy, M., & Weitz, B.A. (2001). Retailing management (4th ed.). New York: McGraw-Hill-Irwin.
  • 50. Liao, Z., & Shi, X. (2009). Consumer perceptions of internet-based e-retailing: An empirical research in Hong Kong. Journal of Services Marketing. https://doi.org/10.1108/08876040910933066
  • 51. Lim, Y.J., Osman, A., Salahuddin, S.N., Romle, A.R., & Abdullah, S. (2016). Factors influencing online shopping behavior: The mediating role of purchase intention. Procedia Economics and Finance, 35, 401-410. https://doi.org/10.1016/S2212-5671(16)00050-2
  • 52. Liu, M.T., Chu, R., Wong, I.A., Zúñiga, M.A., Meng, Y., & Pang, C. (2012). Exploring the relationship among affective loyalty, perceived benefits, attitude, and intention to use co-branded products. Asia Pacific Journal of Marketing and Logistics, 24(4), 561-582. https://doi.org/10.1108/13555851211259025
  • 53. Lufkin, B. (2020). Coronavirus: The psychology of panic buying. BBC. Retrieved from https://www.bbc.com/worklife/article/20200304-coronavirus-covid-19-update-why-people-are-stockpiling.
  • 54. Mansour, I.H.F., Eljelly, A.M., & Abdullah, A.M. (2016). Consumers' attitude towards e-banking services in Islamic banks: the case of Sudan. Review of International Business and Strategy. https://doi.org/10.1108/RIBS-02-2014-0024
  • 55. Nasri, W., & Charfeddine, L. (2012). Factors affecting the adoption of Internet banking in Tunisia: An integration theory of acceptance model and theory of planned behavior. The Journal of High Technology Management Research, 23(1), 1-14. https://doi.org/10.1016/j.hitech.2012.03.001
  • 56. Naseri, R.N.N., Othman, N.A., Bakri, M.H., & Ibrahim, N.R.W. (2020). Consumer attitude towards online shopping activities of halal cosmetic products in Malaysia. International Journal of Academic Research in Business and Social Science, 10(5), 114-126. https://doi.org/10.6007/IJARBSS/v10-i5/7178
  • 57. Nguyen, T.T.H., Nguyen, N., Nguyen, T.B.L., Phan, T.T.H., Bui, L.P., & Moon, H.C. (2019). Investigating consumer attitude and intention towards online food purchasing in an emerging economy: An extended tam approach. Foods, 8(11), 576. https://doi.org/10.3390/foods8110576
  • 58. O'Cass, A., & Fenech, T. (2003). Web retailing adoption: exploring the nature of internet users Web retailing behaviour. Journal of Retailing and Consumer services, 10(2), 81-94. https://doi.org/10.1016/S0969-6989(02)00004-8
  • 59. Olson, J.S., & Olson, G.M. (2000). i2i trust in e-commerce. Communications of the ACM, 43(12), 41-44. https://doi.org/10.1145/355112.355121
  • 60. Othman, S.N., Mat, N.K., & Al-Jabari, N.A. (2012). Online shopping behavior of Jordanian costumers. In International Conference on Management (Vol. 6, No. 7, pp. 221-235).
  • 61. Pandey, A., & Parmar, J. (2019). Factors affecting consumer's online shopping buying behavior. In Proceedings of 10th International Conference on Digital Strategies for Organizational Success. https://doi.org/10.2139/ssrn.3308689
  • 62. Pavlou, P.A. (2002, August). What drives electronic commerce? A theory of planned behavior perspective. In Academy of management proceedings (Vol. 2002, No. 1, pp. A1-A6). Briarcliff Manor, NY: Academy of Management. https://doi.org/10.5465/apbpp.2002.7517579
  • 63. Pavlou, P.A., & Chai, L. (2002). What drives electronic commerce across cultures? A cross-cultural empirical investigation of the theory of planned behaviour. Journal of Electronic Commerce Research, 3(4), 240-253.
  • 64. Peña-García, N., Gil-Saura, I., Rodríguez-Orejuela, A., & Siqueira-Junior, J.R. (2020). Purchase intention and purchase behavior online: A cross-cultural approach. Heliyon, 6(6), e04284. https://doi.org/10.1016/j.heliyon.2020.e04284
  • 65. Rana, S.S., & Islam, A. (2019). An empirical study on the factors influencing online shopping behavior. The Business & Management Review, 10(5), 206-217.
  • 66. Ratten, V., & Ratten, H. (2007). Social cognitive theory in technological innovations. European Journal of Innovation Management, 10(1), 90-108. https://doi.org/10.1108/14601060710720564
  • 67. Redda, E.H. (2019). Attitudes towards online shopping: Application of the theory of planned behaviour. Acta Universitatis Danubius. Œconomica, 15(2), 148-159.
  • 68. Rehman, S.U., Bhatti, A., Mohamed, R., & Ayoup, H. (2019). The moderating role of trust and commitment between consumer purchase intention and online shopping behavior in the context of Pakistan. Journal of Global Entrepreneurship Research, 9(1), 1-25. https://doi.org/10.1186/s40497-019-0166-2
  • 69. Salem, M.A., & Nor, K.M. (2020). The effect Of COVID-19 on consumer behaviour in Saudi Arabia: Switching from brick and mortar stores to e-commerce. International Journal of Scientific & Technology Research, 9(07), 15-28.
  • 70. Santos, J.F., & Ribeiro, J.C. (2012). The Portuguese online wine buying consumer. EuroMed Journal of Business, 7(3), 294-311. https://doi.org/10.1108/14502191211265343
  • 71. Sentosa, I., & Mat, N.K.N. (2012). Examining a theory of planned behavior (TPB) and technology acceptance model (TAM) in internet purchasing using structural equation modeling. Researchers World, 3(Part 2), 62.
  • 72. Sheth, J.N., & Sharma, A. (2005). International e-marketing: Opportunities and issues. International Marketing Review. https://doi.org/10.1108/02651330510630249
  • 73. Singh, D.P. (2015). Integration of TAM, TPB, and self-image to study online purchase intentions in an emerging economy. International Journal of Online Marketing (IJOM), 5(1), 20-37. https://doi.org/10.4018/IJOM.2015010102
  • 74. Song, J., & Zahedi, F. (2001). Web design in e-commerce: A theory and empirical analysis. ICIS 2001 Proceedings,24.
  • 75. Suh, B., & Han, I. (2003). The impact of customer trust and perception of security control on the acceptance of electronic commerce. International Journal of electronic commerce, 7(3), 135-161. https://doi.org/10.1080/10864415.2003.11044270
  • 76. Tan, M., & Teo, T.S. (2000). Factors infl uencing the adoption of Internet banking. Journal of the Association for Information Systems, 1(1), 5. https://doi.org/10.17705/1jais.00005
  • 77. Trenwith, C. (2011, June 3). Businesses reeling under pressure to join daily deal craze. The Sydney Herald. Retrieved on 13 January 2013 from www.businessday.com.au/small-business/smallbiz-marketing/businesses-reelingunderpressure- to-join-daily-deal-craze-20110602-1fi 87.html
  • 78. Troise, C., O'Driscoll, A., Tani, M., & Prisco, A. (2020). Online food delivery services and behavioural intention-a test of an integrated TAM and TPB framework. British Food Journal. https://doi.org/10.1108/BFJ-05-2020-0418
  • 79. Turan, A.H. (2012). Internet shopping behavior of Turkish customers: Comparison of two competing models. Journal of Theoretical and Applied Electronic Commerce Research, 7(1), 77-93. https://doi.org/10.4067/S0718-18762012000100007
  • 80. Wang, X., & Zhang, J. (2020). Factors influencing Chinese online shopping distributions of fresh agricultural products. The Journal of Distribution Science, 18(10), 53-64.
  • 81. Wen, T.S., Satar, N.M., Ishak, N.A., & Ating, R. (2020). Consumer intention toward online shopping in Malaysia. International Journal of Accounting, 5(27), 93-117.
  • 82. Yang, S., Li, L., & Zhang, J. (2018). Understanding consumers' sustainable consumption intention at China's double-11 online shopping festival: An extended theory of planned behavior model. Sustainability, 10(6), 1801. https://doi.org/10.3390/su10061801
  • 83. Yao, J. (2020, February 20). Thoughts on e-commerce development under the pandemic. Sina Finance and Economics. Retrieved from https://fi nance.sina.com.cn/review/jcgc/2020-02-20/doc-iimxyqvz4308973.shtml
Typ dokumentu
Bibliografia
Identyfikator YADDA
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