Extending the Technology Acceptance Model: Contextualizing Trust and Usability in Shaping Online Consumer Behavior in Dhaka, Bangladesh

Authors

  • Rumana Afrin BSCIC Industrial Estate, Fatullah, Narayanganj, Bangladesh
  • Sahin Akter Sarker Department of Marketing, American International University-Bangladesh (AIUB), Bangladesh

DOI:

https://doi.org/10.47540/ijias.v5i3.2135

Keywords:

E-commerce, Online Consumer Behavior, Technology Acceptance Model, Trust, Usability

Abstract

With the rapid growth of e-commerce in the Asian region, understanding the drivers of online purchasing decisions is crucial for businesses and policymakers. Hence, this study extends the Technology Acceptance Model (TAM) to examine key factors shaping online consumer behavior in Dhaka, Bangladesh, an emerging e-commerce market marked by low trust and infrastructural limitations. Building on TAM’s core constructs, ‘perceived usefulness’ and ‘perceived ease of use’, researchers incorporate trust/security and delivery reliability as critical contextual variables. Data from 200 respondents reveal that price discounts and website usability significantly influence purchase intentions, followed by delivery time and customer reviews. Regression and ANOVA analyses confirm these variables’ predictive power. Trust and security concerns emerge as major antecedents to perceived usefulness, reflecting the unique challenges of digital adoption in Dhaka. The findings validate TAM’s relevance while demonstrating the need for its contextual adaptation in emerging markets. Young, tech-savvy consumers dominate the online shopping landscape, suggesting that targeted design and trust-building initiatives are essential. This research offers strategic insights for e-commerce platforms and policymakers aiming to optimize consumer engagement and satisfaction in Bangladesh’s rapidly evolving digital economy.

References

A. Jamil, N., & Nik Mat, N. K. (2012). The Determinant of Online Purchasing Behaviour in Malaysia Based on Technology Acceptance Model (TAM). Knowledge Management International Conference, July, 466–471.

Akhter, W., Abbasi, A. S., Ali, I., & Afzal, H. (2011). Factors affecting customer loyalty in Pakistan. African Journal of Business Management, 5(4), 1167–1174.

Al Karim, R. (2013). Customer Satisfaction in Online Shopping: a study into the reasons for motivations and inhibitions. IOSR Journal of Business and Management, 11(6), 13–20.

Alfeel, E. (2019). The Impact of Social Media Marketing on Consumer Purchase Intention: Consumer Survey in Saudi Arabia. Journal of Marketing and Consumer Research, 56, 13–22.

Ara Eti, I., Horaira, M. A., & Bari, M. M. (2021). Power and stimulus of social media marketing on consumer purchase intention in Bangladesh during the COVID-19. International Journal of Research in Business and Social Science (2147- 4478), 10(1), 28–37.

Berry, L. L., Seiders, K., & Grewal, D. (2002). Understanding service convenience. Journal of Marketing, 66(3), 1–17.

Butler, P., & Peppard, J. (1998). Consumer purchasing on the Internet: Processes and prospects. European Management Journal, 16(5), 600–610.

Chen, Z., & Dubinsky, A. J. (2003). A Conceptual Model of Perceived Customer Value in E-Commerce: A Preliminary Investigation. Psychology and Marketing, 20(4), 323–347.

Cheung, C. M. K., Lee, M. K. O., & Rabjohn, N. (2008). The impact of electronic word-of-mouth: The adoption of online opinions in online customer communities. Internet Research, 18(3), 229–247.

Clemes, M. D., Gan, C., & Zhang, J. (2014). An empirical analysis of online shopping adoption in Beijing, China. Journal of Retailing and Consumer Services, 21(3), 364–375.

Davidaviciene, V., Raudeliuniene, J., Jonyte-Zemlickiene, A., & Tvaronaviciene, M. (2021). Factors affecting customer buying behavior in online shopping. Marketing and Management of Innovations, 4, 11–19.

Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340.

Dhanapal, S., Vashu, D., & Subramaniam, T. (2015). Perceptions on the challenges of online purchasing: A study from “baby boomers”, generation “X” and generation “Y” point of views. Contaduria y Administracion, 60, 107–132.

Dimyati, M., & Subagio, N. A. (2016). Impact of service quality, price, and brand on loyalty with the mediation of customer satisfaction on Pos Ekspres in East Java. Mediterranean Journal of Social Sciences, 7(4), 74–86.

Dost, B., Illyas, M., & Rehman, C. A. (2015). Online Shopping Trends and Its Effects on Consumer Buying Behavior: A Case Study of Young Generation of Pakistan. NG-Journal of Social Development, 417(3868), 1–22.

Dupree, J. V. (2005). Ten Deadly Marketing Sins: Signs and Solutions. Journal of Consumer Marketing, 22(1), 47–48.

Freathy, P., & Calderwood, E. (2013). The impact of internet adoption upon the shopping behaviour of island residents. Journal of Retailing and Consumer Services, 20(1), 111–119.

Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in Online Shopping: An Integrated Model. MIS Quarterly, 27(1), 51–90.

Grewal, D., Monroe, K. B., & Krishnan, R. (1998). The effects of price-comparison advertising on buyers’ perceptions of acquisition value, transaction value, and behavioral intentions. Journal of Marketing, 62(2), 46–59.

Ha, S., & Stoel, L. (2009). Consumer e-shopping acceptance: Antecedents in a technology acceptance model. Journal of Business Research, 62(5), 565–571.

Hajli, M. N. (2013). Compressed-PDF. International Journal of Market Research, 53(6), 387–404.

Hsiao, M.-H. (2009). Shopping mode choice: Physical store shopping versus e-shopping. Transportation Research Part E: Logistics and Transportation Review, 45(1), 86–95.

Jasmani, J., & Sunarsi, D. (2020). The Influence of Product Mix, Promotion Mix and Brand Image on Consumer Purchasing Decisions of Sari Roti Products in South Tangerang. PINISI Discretion Review, 1(1), 165.

Khatun, F., Kamal, M., Al Kabir, F., Nawrin, N., & Hoque, M. S. (2023). Securing Green Transition of the Textile and Readymade Garments Sector in Bangladesh. January, 1–46.

Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544–564.

Kim, E., & Hong, T. (2010). Segmenting customers in online stores from factors that affect the customer’s intention to purchase. 2010 International Conference on Information Society, 383–388.

Kim, H.-W., & Gupta, S. (2009). A comparison of purchase decision calculus between potential and repeat customers of an online store. Decision Support Systems, 47(4), 477–487.

Kim, H.-W., Xu, Y., & Gupta, S. (2012). Which is more important in Internet shopping, perceived price or trust? Electronic Commerce Research and Applications, 11(3), 241–252.

Kim, S., & Stoel, L. (2004). Apparel retailers: website quality dimensions and satisfaction. Journal of Retailing and Consumer Services, 11(2), 109–117.

Kotler, P., & Keller, K. L. (2016). Marketing management (15th ed.). Pearson.

Labrecque, L. I., vor dem Esche, J., Mathwick, C., Novak, T. P., & Hofacker, C. F. (2013). Consumer power: Evolution in the digital age. Journal of Interactive Marketing, 27(4), 257–269.

Lee, D., Park, J., & Ahn, J. (2001). on the Explanation of Factors Affecting E-Commerce Adoption. Proceedings of the International Conference on Information Systems, ICIS 2001, August 2015, 109–120.

Lian, J.-W., & Lin, T.-M. (2008). Effects of consumer characteristics on their acceptance of online shopping: Comparisons among different product types. Computers in Human Behavior, 24(1), 48–65.

Liang, T.-P., & Lai, H.-J. (2000). Electronic store design and consumer choice: an empirical study. Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, 10.

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(16), 401–410.

Liu, F., Xiao, B., Lim, E. T. K., & Tan, C. W. (2017). The art of appeal in electronic commerce: Understanding the impact of product and website quality on online purchases. Internet Research, 27(4), 752–771.

Mahaputra, M. R. (2017). Pengaruh Kepercayaan dan Nilai Nasabah terhadap Kepuasan Nasabah pada Bank BRI Cabang Soetomo Jambi. Studi Bisnis Dan Manajemen Taudi, Vol-2, 737–743.

Makudza, F., Mugarisanwa, C., & Siziba, S. (2020). The Effect of Social Media on Consumer Purchase Behaviour in the Mobile Telephony Industry in Zimbabwe. Dutch Journal of Finance and Management, 4(2), em0065.

Mei Min, C., Ling Hong, C., Jian Ai, Y., & Pei Wah, W. (2012). Conceptual Paper: Factors Affecting the Demand of Smartphone among Young Adult. International Journal on Social Science, Economics and Art, 2(2), 44–49.

Mirabi, V., Akbariyeh, H., & Tahmasebifard, H. (2015). A Study of Factors Affecting on Customers Purchase Intention Case Study : the Agencies of Bono Brand Tile in Tehran. Journal of Multidisciplinary Engineering Science and Technology (JMEST), 2(1), 267–273.

Nath, S. D., Saha, A. K., & Hossain, M. A. (2015). Identification and Measurement of the Factors Affecting Satisfaction Level of Smart Phone Users: Empirical Evidence from Bangladesh. International Journal of Business and Management, 10(4), 166–177.

Pantano, E., Pizzi, G., Scarpi, D., & Dennis, C. (2020). Competing during a pandemic? Retailers’ ups and downs during the COVID-19 outbreak. Journal of Business Research, 116(May), 209–213.

Park, C., & Lee, T. M. (2009). Information direction, website reputation and eWOM effect: A moderating role of product type. Journal of Business Research, 62(1), 61–67.

Rahman, M. B., & Sultana, S. (2022). Factors Influencing Purchasing Behavior of Mobile Phone Consumers: Evidence from Bangladesh. Open Journal of Social Sciences, 10(07), 1–16.

Ramanathan, R. (2011). An empirical analysis on the influence of risk on relationships between handling of product returns and customer loyalty in E-commerce. International Journal of Production Economics, 130(2), 255–261.

Revolution, E. R. (2008). E-Consumer Behaviour: 1998, 64–76.

Rusmiati, N. N. (2020). The effect of brand image and country of origin on consumer buying interest: case study on Yamaha NMAX motorcycle in Denpasar city. International Research Journal of Management, IT and Social Sciences, 7(3), 83–90.

September, M. F. (2023). 24/7 customer support stats you need to know.

Sin, L., & Tse, A. (2002). Profiling Internet Shoppers in Hong Kong. Journal of International Consumer Marketing, 15(1), 7–29.

Sinha, J., & Kim, J. (2012). Factors affecting Indian consumers’ online buying behavior. Innovative Marketing, 8(2), 46–57.

Swilley, E., & Goldsmith, R. E. (2013). Black Friday and Cyber Monday: Understanding consumer intentions on two major shopping days. Journal of Retailing and Consumer Services, 20(1), 43–50.

Szymanski, D. M., & Hise, R. T. (2000). E-satisfaction: an initial examination. Journal of Retailing, 76(3), 309–322.

To, P.-L., Liao, C., & Lin, T.-H. (2007). Shopping motivations on Internet: A study based on utilitarian and hedonic value. Technovation, 27(12), 774–787.

Verma, S., & Gustafsson, A. (2020). Investigating the emerging COVID-19 research trends in the field of business and management: A bibliometric analysis approach. Journal of Business Research, 118(June), 253–261.

Wang, C. L., Ye, L. R., Zhang, Y., & Nguyen, D.-D. (2005). Subscription to fee-based online services: what makes consumer pay for online content? Journal of Electronic Commerce Research, 6(4), 304–311.

Zhang, M., Qin, F., Wang, G. A., & Luo, C. (2020). The impact of live video streaming on online purchase intention. The Service Industries Journal, 40(9–10), 656–681.

Zhu, F., & Zhang, X. (Michael). (2010). Impact of Online Consumer Reviews on Sales: The Moderating Role of Product and Consumer Characteristics. Journal of Marketing, 74(2), 133–148.

Published

2025-10-30

How to Cite

Afrin, R., & Sarker, S. A. . (2025). Extending the Technology Acceptance Model: Contextualizing Trust and Usability in Shaping Online Consumer Behavior in Dhaka, Bangladesh. Indonesian Journal of Innovation and Applied Sciences (IJIAS), 5(3), 242-253. https://doi.org/10.47540/ijias.v5i3.2135