Farmers’ intention to apply agricultural e-commerce: Extending the Technology Acceptance Model (TAM) with perceived enjoyment and perceived e-commerce self-efficacy

Abdullah, F., Ward, R., & Ahmed, E. (2016). Investigating the influence of the most commonly used external variables of TAM on students’ perceived ease of use (PEOU) and perceived usefulness (PU) of e-portfolios. Computers in Human Behavior, 63, 75-90. https://doi.org/10.1016/j.chb.2016.05.014

Agarwal, R., & Karahanna, E. (2000). Time flies when you’re having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665-694. https://doi.org/10.2307/3250951

Ahmadi, S., & Ghorbanpour, S. (2021). Smart Controlling cyanide emissions from surface water resources by predictive models: An integrated GA-Regression. Journal of Research in Science, Engineering and Technology, 9(01), 38-49.

https://doi.org/10.24200/jrset.vol9iss01pp38-49

Al Ziadat, M. T., Al-Majali, M. M., Al Muala, A. M., & Khawaldeh, K. H. (2013). Factors affecting university student's attitudes toward e-commerce: Case of Mutah University. International Journal of Marketing Studies, 5(5), 88-93. https://doi.org/10.5539/ijms.v5n5p88

Alalwan, A. A., Baabdullah, A. M., Rana, N. P., Tamilmani, K., & Dwivedi, Y. K. (2018). Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust. Technology in Society, 55, 100-110. https://doi.org/10.1016/j.techsoc.2018.06.007

Asadihkoob, H., & Ebrahimi, M. S. (2014). Challenges and strategies of e-commerce in Iran’s agriculture. Agricultural Communications, 2(1), 80-88.

Ashraf, A. R., Thongpapanl, N. T., & Spyropoulou, S. (2016). The connection and disconnection between e-commerce businesses and their customers: Exploring the role of engagement, perceived usefulness, and perceived ease-of-use. Electronic Commerce Research and Applications, 20, 69-86. https://doi.org/10.1016/j.elerap.2016.10.001

Azhar, N., Yap, C. K., Nulit, R., Omar, H., Syazwan, W. M., & Leow, C. S. (2024). A preliminary study of direct observation and selected water quality monitoring in Putrajaya Lake: The status between October-December 2022. International Journal of Sustainable Energy and Environmental Research, 13(1), 25–35.

https://doi.org/10.18488/13.v13i1.3682

Bamberg, S. (2003). How does environmental concern influence specific environmentally related behaviors? A new answer to an old question. Journal of Environmental Psychology, 23(1), 21-32. https://doi.org/10.1016/S0272-4944(02)00078-6

Bandura, A. (1997). Self-efficacy: The exercise of control. New York, NY: Worth Publishers.

Basarir-Ozel, B., & Mardikyan, S. (2017). Factors affecting e-commerce adoption: A case of Turkey. The International Journal of Management Science and Information Technology (IJMSIT), (23), 1-11.

Biucky, S. T., & Harandi, S. R. (2017). The effects of perceived risk on social commerce adoption based on tam model. International Journal of Electronic Commerce Studies, 8(2), 173-196 https://doi.org/10.7903/ijecs.1538

Cai, Y., Lang, Y., Zheng, S., & Zhang, Y. (2015). Research on the influence of e-commerce platform to agricultural logistics: An empirical analysis based on agricultural product marketing. International Journal of Security and Its Applications, 9(10), 287-296. http://dx.doi.org/10.14257/ijsia.2015.9.10.26

Cheema, U., Rizwan, M., Jalal, R., Durrani, F., & Sohail, N. (2013). The trend of online shopping in 21st century: Impact of enjoyment in TAM Model. Asian Journal of Empirical Research, 3(2), 131-141.

Chen, T., Chen, J., Or, C. K., & Lo, F. P. (2022). Path analysis of the roles of age, self-efficacy, and TAM constructs in the acceptance of performing upper limb exercises through immersive virtual reality games. International Journal of Industrial Ergonomics, 91, 103360.

https://doi.org/10.1016/j.ergon.2022.103360

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319-340. https://doi.org/10.2307/249008

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science., 35(8), 982-1003.

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111-1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x

Dong, Y., & Tarofder, A. K. (2024). Beyond the screen: How affection drives impulsive purchases in livestreaming e-commerce. International Journal of Applied Economics, Finance and Accounting, 18(1), 168–179. https://doi.org/10.33094/ijaefa.v18i1.1338

Faqih, K. M. (2013). Exploring the influence of perceived risk and internet self-efficacy on consumer online shopping intentions: Perspective of technology acceptance model. International Management Review, 9(1), 67-77.

Fishbein, M., & Ajzen, I. (1975). Intention and Behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.

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/10.2307/3151312

Gan, X., Jiao, Y., Liu, L., & Zhang, Y. (2018). Research on the factors influencing users’ adoption intention of e-commerce recommendation system. In International Conference on Data Mining and Big Data (pp. 563-574). Springer, Cham.

Gefen, D., & Straub, D. W. (2000). The relative importance of perceived ease of use in IS adoption: A study of e-commerce adoption. Journal of the Association for Information Systems, 1(1), 1-8 https://doi.org/10.17705/1jais.00008

Ha, N., & Nguyen, T. (2019). The effect of trust on consumers’ online purchase intention: An integration of TAM and TPB. Management Science Letters, 9(9), 1451-1460.

Hailemariam, T., Atnafu, A., Gezie, L., Kaasbøll, J., Klein, J., & Tilahun, B. (2024). Intention to use an electronic community health information system among health extension workers in rural northwest Ethiopia: Cross-sectional study using the unified theory of acceptance and use of technology 2 model. JMIR Human Factors, 11(1), e47081. https://doi.org/10.2196/47081

Henderson, J., Dooley, F., & Akridge, J. (2004). Internet and e-commerce adoption by agricultural input firms. Review of Agricultural Economics, 26(4), 505-520. https://www.jstor.org/stable/3700794

Hsu, M. H., & Chiu, C. M. (2004). Internet self-efficacy and electronic service acceptance. Decision Support Systems, 38(3), 369-381. https://doi.org/10.1016/j.dss.2003.08.001

Huo, Y., & Mu, H. (2017). Research on the development of E-commerce model of agricultural products. Retrieved from: https://www.matec-conferences.org/articles/matecconf/abs/2017/14/matecconf_gcmm2017_02040/matecconf_gcmm2017_02040.html/

Igbaria, M., & Iivari, J. (1995). The effects of self-efficacy on computer usage. Omega, 23(6), 587-605. https://doi.org/10.1016/0305-0483(95)00035-6

Igbaria, M., Schiffman, S. J., & Wieckowski, T. J. (1994). The respective roles of perceived usefulness and perceived fun in the acceptance of microcomputer technology. Behaviour and Information Technology, 13(6), 349-361. https://doi.org/10.1080/01449299408914616

Imam, G. (2005). Model persamaan struktural: Konsep dan aplikasi dengan program AMOS Ver. 5.0. Badan penerbit UNDIP: Semarang.

Jamaluddin, N. (2013). Adoption of e-commerce practices among the Indian farmers, a survey of Trichy district in the state of Tamilnadu, India. Procedia Economics and Finance, 7, 140-149. https://doi.org/10.1016/S2212-5671(13)00228-1

Kanchanatanee, K., Suwanno, N., & Jarernvongrayab, A. (2014). Effects of attitude toward using, perceived usefulness, perceived ease of use and perceived compatibility on intention to use E-marketing. Journal of Management Research, 6(3), 1-13.

Khan, S., Zhang, Q., Khan, S. U., Khan, I. U., & Khan, R. U. (2024). Understanding mobile augmented reality apps in Pakistan: An extended mobile technology acceptance model. Journal of Tourism Futures. https://doi.org/doi:10.1108/JTF-04-2022-0131

Kim, I. S. (2009). The role of self-efficacy and social support in the relationship between emotional labor and burn out, turn over intention among hospital nurses. Journal of Korean Academy of Nursing Administration, 15(4), 515-526.

Kim, J. B. (2012). An empirical study on consumer first purchase intention in online shopping: integrating initial trust and TAM. Electronic Commerce Research, 12(2), 125-150. https://doi.org/10.1007/s10660-012-9089-5

Lin, Y. (2019). E-urbanism: E-commerce, migration, and the transformation of Taobao villages in urban China. Cities, 91, 202-212. https://doi.org/10.1016/j.cities.2018.11.020

Liu, H., Wang, Y., & Xie, K. (2013). Agricultural E-commerce sites evaluation research. International Journal of Business and Social Science, 4(17), 138- 143.

Manis, K. T., & Choi, D. (2019). The virtual reality hardware acceptance model (VR-HAM): Extending and individuating the technology acceptance model (TAM) for virtual reality hardware. Journal of Business Research, 100, 503-513. https://doi.org/10.1016/j.jbusres.2018.10.021

McDonald, T., & Siegall, M. (1992). The effects of technological self-efficacy and job focus on job performance, attitudes, and withdrawal behaviors. The Journal of Psychology, 126(5), 465-475. https://doi.org/10.1080/00223980.1992.10543380

McFarlane, D., Chembezi, D., & Befecadu, J. (2003). Internet adoption and use of e-commerce strategies by agribusiness firms in Alabama. Southern Agricultural Economics Association Annual Meeting, Mobile, AL (pp. 1-5).

Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. Cambridge: The MIT Press.

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

Omidi Najafabadi, M. (2010). E-Marketing barriers from agricultural experts’ perception. African Journal of Business Management, 4(14), 3226-3228.

Pan, Z., Xie, Z., Liu, T., & Xia, T. (2024). Exploring the key factors influencing college students’ willingness to use AI coding assistant tools: An expanded technology acceptance model. Systems, 12(5). https://doi.org/10.3390/systems12050176

Praveena, K., & Thomas, S. (2014). Continuance intention to use Facebook: A study of perceived enjoyment and TAM. Bonfring International Journal of Industrial Engineering and Management Science, 4(1), 24-29.

Putri, N. A., Hindersah, R., & Suryatmana, P. (2023). Effect of cow manure on instead mon the growth of water spinach in gold mine tailings. Current Research in Agricultural Sciences, 10(1), 33–40.

https://doi.org/10.18488/cras.v10i1.3414

Rahmawati, R. N. (2019). Self-efficacy and use of e-learning: A theoretical review technology acceptance model (TAM). American Journal of Humanities and Social Sciences Research, 3(5), 41-55.

Ramayah, T., & Aafaqi, B. (2004). Role of self-efficacy in e-library usage among students of a public university in Malaysia. Malaysian Journal of Library & Information Science, 9(1), 39-57.

Ranganathan, C., & Jha, S. (2007). Examining online purchase intentions in B2C e-commerce: testing an integrated model. Information Resources Management Journal (IRMJ), 20(4), 48-64. https://doi.org/10.4018/978-1-59904-978-6.ch014

Renny, Guritno, S., & Siringoringo, H. (2013). Perceived Usefulness, Ease of Use, and Attitude Towards Online Shopping Usefulness Towards Online Airlines Ticket Purchase. Procedia - Social and Behavioral Sciences, 81, 212-216. https://doi.org/10.1016/j.sbspro.2013.06.415

Roca, J. C., Chiu, C. M., & Martínez, F. J. (2006). Understanding e-learning continuance intention: An extension of the Technology Acceptance Model. International Journal of Human-computer Studies, 64(8), 683-696. https://doi.org/10.1016/j.ijhcs.2006.01.003

Salimon, M. G., Mohd Mokhtar, S. S., & Yusr, M. M. (2020). E-banking as a financial supply chain system: Can e-TAM improve trust and the rate of adoption? International Journal of Supply Chain Management, 9(2), 216-226. https://doi.org/10.59160/ijscm.v9i2.4583

Silvertre, E., Miranda, A. M., & Gutiérrez, V. F. (2022). Validation of a Technology Acceptance Model (TAM) in Dominican university students. Education, 31(60), 113-136. https://doi.org/10.18800/educacion.202201.005

Singh, S., & Srivastava, R. K. (2020). Understanding the intention to use mobile banking by existing online banking customers: an empirical study. Journal of Financial Services Marketing, 25, 86-96. https://doi.org/10.1057/s41264-020-00074-w

Smith, T. J. (2008). Senior citizens and e-commerce websites: The role of perceived usefulness, perceived ease of use, and web site usability. Informing Science, 11, 59-83. https://doi.org/10.28945/3268

Sönmez, F., Aydin, U., & Perdahci, Z. N. (2024). Investigation of university websites from technology acceptance model and information architecture perspective: A case study. Journal of Information Science, 50(2), 466-480.

https://doi.org/10.1177/01655515221094436

Stage, F. K., Carter, H. C., & Nora, A. (2004). Path analysis: An introduction and analysis of a decade of research. The Journal of Educational Research, 98(1), 5- 13. https://doi.org/10.3200/JOER.98.1.5-13

Suki, N. M., & Suki, N. M. (2011). Exploring the relationship between perceived usefulness, perceived ease of use, perceived enjoyment, attitude and subscribers’ intention towards using 3G mobile services. Journal of Information Technology Management, 22(1), 1-7.

Sundjaja, A. M., Arisanto, G. V., & Fatimah, S. (2020). The determinant factors of e-commerce usage behavior during flash sale program. CommIT (Communication and Information Technology) Journal, 14(2), 65-72. https://doi.org/10.21512/commit.v14i2.6582

Suryani, D., Kurniawan, A., & Umiyati, I. (2020). IT self-efficacy, IT anxiety dan Minat menggunakan e-money. Journal Riset Akuntansi dan Keuangan, 8(1), 89-108. https://doi.org/10.17509/ jrak.v8i1.20387

Syafei, W. A., & Yulianto, A. (2024). Measuring acceptance levels of webcast-based E-learning to improve remote learning quality using technology acceptance model. Journal of Information and Communication Convergence Engineering, 22(1), 23-32. https://doi.org/10.56977/jicce.2024.22.1.23

Thongsri, N., Shen, L., & Bao, Y. (2019). Investigating academic major differences in perception of computer self-efficacy and intention toward e-learning adoption in China. Innovations in Education and Teaching International, 57(5), 577–589.

https://doi.org/10.1080/14703297.2019.1585904

Uzoka, F. M. E., Shemi, A. P., & Seleka, G. G. (2007). Behavioral influences on e‐commerce adoption in a developing country context. The Electronic Journal of Information Systems in Developing Countries, 31(1), 1-15. https://doi.org/10.1002/j.1681-4835.2007.tb00213.x

Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision sciences, 27(3), 451-481. https://doi.org/10.1111/j.1540-5915.1996.tb00860.x

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540

Wang, J., Zhu, X., & Zhang, C. (2016). Models of China’s e-commerce in the agricultural sector: An exploratory study. International Journal of U-and E-Service, Science and Technology, 9(4), 389-400. http://dx.doi.org/10.14257/ijunesst.2016.9.4.38

Wibowo, A., Saptono, A., Narmaditya, B. S., Effendi, M. S., Mukhtar, S., & Shafiai, M. H. M. (2024). Using technology acceptance model to investigate digital business intention among Indonesian students. Cogent Business and Management, 11(1). https://doi.org/10.1080/23311975.2024.2314253

 

 

Wilson, N. (2019). The impact of perceived usefulness and perceived ease-of-use toward repurchase intention in the indonesian e-commerce industry. Journal Manajemen Indonesia, 19(3), 241-249.

Wilson, P. (2000). An overview of developments and prospects for e-commerce in the agricultural sector. Retrieved from:

http://ap.fftc.agnet.org/ap_db.php?id=599&print=1/

Yu, J., Ha, I., Choi, M., & Rho, J. (2005). Extending the TAM for a t-commerce. Information & Management, 42(7), 965-976.

https://doi.org/10.1016/j.im.2004.11.001

Zhang, X., Han, X., Dang, Y., Meng, F., Guo, X., & Lin, J. (2017). User acceptance of mobile health services from users’ perspectives: The role of self-efficacy and response-efficacy in technology acceptance. Informatics for Health and Social Care, 42(2), 194-206. https://doi.org/10.1080/17538157.2016.1200053