ISSN Print: 2472-9450  ISSN Online: 2472-9469
International Journal of Psychology and Cognitive Science  
Manuscript Information
 
 
Application of Technology Acceptance Model in Consumer Behaviour Towards Internet Purchases
International Journal of Psychology and Cognitive Science
Vol.3 , No. 3, Publication Date: Sep. 20, 2017, Page: 12-19
459 Views Since September 20, 2017, 1877 Downloads Since Sep. 20, 2017
 
 
Authors
 
[1]    

Kavya Shree Kuduvalli Manjunath, International School for Business and Research, Bangalore, India.

[2]    

Manasa Nagabhushanam, International School for Business and Research, Bangalore, India.

 
Abstract
 

Technology acceptance model (TAM, Davis 1986) is one of the most widely used models for testing technological acceptance. Technology which is pervasive in nature has penetrated into almost all fields. It is one of the major determinants of innovation and development. E-commerce is one such filed of application of technology. With the innovation in marketing technique by application of technology, there is a new platform created for buyer, i.e., “internet”. Consumers have several benefits of making purchases here. It is interesting to understand the reasons for acceptance of technology. This area of consumer behaviour research has attracted many researchers in the west and other developing countries. India being a hot spot for investment from FDI’s in many industries has also attracted FDI in e-retail. In this regard, it becomes relevant to study the Technology Acceptance Model with reference to the consumer acceptance of technology for purchases. There are five stages of consumer decision making process and today technology has intervened in almost all stages. This research study tries to dig some literature with respect to application of TAM in consumer behaviour towards e commerce and related activities. It is an exploratory research which throws light on understanding TAM model with reference to understanding the determinants of behavioural intention of consumers using internet technology.


Keywords
 

TAM, E Commerce, Internet Purchases, Buying Decisions, Consumer Behaviour


Reference
 
[01]    

Adams, D., Nelson, R. and Todd, P. (1992). Perceived usefulness, ease of use and usage of information technology: a replication. MIS Quartely, 16 (2): 227-247.

[02]    

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. http://dx.doi.org/10.1016/j.elerap.2004.05.001

[03]    

Ajzen, I. (1991). The theory of planned behaviour. Organizational Behaviour and Human Decision Process, 50 (2), 179-211. http://dx.doi.org/10.1016/0749-5978(91)90020-T

[04]    

Azjen, I. 1991. Understanding Attitudes and Predicting Social Behavior. Prentice- Hall. Englewood Cliffs, N. J.

[05]    

Barkhi, R., Belanger, F., & Hicks, J. (2008). A model of determinants of purchasing from virtual stores. Journal of Organizational Computing and Electronic Commerce, 18 (3), 177-196. http://dx.doi.org/10.1080/10919390802198840

[06]    

Bhatnagar, A., Misra, S., & Rao, H. R. (2000). On risk, convenience, and Internet shopping behaviour: why some consumers are online shoppers while others are not. Communications of the ACM, 43 (11), 98-105. http://dx.doi.org/10.1145/353360.353371

[07]    

Bhattacherjee, A. and Premkumar, G. “Understanding Changes in Belief and Attitude Toward Information Technology Usage: A Theoretical Model and Longitudinal Test,” MIS Quarterly (28:2), 2004, pp. 229-254.

[08]    

Bruner II, G. G., & Pamazal, R. J. (1988). Problem recognition: the crucial first stage of the consumer decision process. Journal of Consumer Marketing, 5 (1), 53-63. doi: 10.1108/ eb008219.

[09]    

Chen, L., Gillenson, M., and Sherrell, D. “Enticing online consumers: an extended technology acceptance perspective,” Information and Management, (39), 2002, pp. 705-719.

[10]    

Childers, T. L., Carr, C. L., Peck, J., & Carson, S. (2001). Hedonic and utilitarian motivations for online retail shopping behaviour. Journal of Retailing, 77 (4), 511-535. http://dx.doi.org/10.1016/S0022-4359(01)00056-2

[11]    

Christopher J. Ruth (2000), Applying a Modified Technology Acceptance Model To Determine Factors Affecting Behavioral Intentions to Adopt Electronic Shopping on the World Wide Web: A Structural Equation Modeling Approach- Doctoral research,-Proquest UMI Number 9966196.

[12]    

Chuanlan Liu (2004) titled, Modelling consumer adoption of the internet as a shopping medium: an integrated perspective- A Dissertation report.

[13]    

Dasgupta, S., Granger, M. and McGarry, N. “User Acceptance of E-Collaboration Technology: An Extension of the Technology Acceptance Model,” Group Decision and Negotiation (11), 2002, pp. 87-100.

[14]    

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13 (3), 318-340. http://dx.doi.org/10.2307/249008

[15]    

Donald L. Amoroso et al.,(2009), Understanding consumers’ acceptance of online purchasing, Journal of Information Technology Management, Volume XX, Number 1, 2009 ISSN #1042-1319.

[16]    

Engel, James F., Kollat, David T. and Blackwell, Rodger D. (1968) Consumer Behavior, 1st ed. New York: Holt, Rinehart and Winston 1968.

[17]    

Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behaviour: an introduction to theory and research, Addison-Wesley, California.

[18]    

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).

[19]    

Foxall, G. (1989). Marketing’s domain. European Journal of Marketing, 23 (8), 7-22. Doi: 10.1108/EUM0000000000581.

[20]    

Irfan Butt et al (2016) - Using Technology Acceptance Model to Study Adoption of Online Shopping in an Emerging Economy, Journal of Internet Banking and Commerce, August 2016, vol. 21, no. 2.

[21]    

Gianina LALA (FĂDOR), 2014) The Emergence and Development of the Technology Acceptance Model (TAM), International Conference ―Marketing – from information to decision‖ 7th Edition 2014.

[22]    

Irfan Bashir, (2014), Consumer Perception, Attitude and Behavioural Intention towards Use of Internet Banking Services in IndiaThesis Pondicherry University.

[23]    

Jarvenpaa, Sirkka L. and Noam Tractinsky (1999), "Consumer Trust in an Internet Store: A Cross-Cultural Validation," Journal of Computer-Mediated Communication, (5), No. 2, [URL: http://www.ascusc.org/jcmc/vol5/issue2/jarvenpaa.html].

[24]    

Judy Strauss and Raymond Frost, 2012, E-Marketing, Sixth edition, Pearson Education, Inc.

[25]    

Juniwati, Influence of Perceived Usefulness, Ease of Use, Risk on Attitude and Intention to Shop Online, European Journal of Business and Management, ISSN 2222-1905 (Paper) ISSN 2222-2839 (Online), Vol. 6, No. 27, 2014.

[26]    

Kim, J., & Forsythe, S. (2010). Factors affecting adoption of product virtualization technology for online consumer electronics shopping. International Journal of Retailing and Distribution Management, 38 (3), 190-204. http://dx.doi.org/10.1108/09590551011027122

[27]    

Kotler, Philip & Kevin Keller. 2012. Marketing Management 12e. New Jersey: Pearson Education.

[28]    

Kotler, P., Keller, K. L., Koshy, A. and Jha, M. (2009) Marketing Management – A South Asian Perspective, but China and Japan also contribute 13th ed. India: Prentice Hall, 2009.

[29]    

Koufaris, M. "Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior," Information Systems Research (13:2), 2002, pp. 205-223.

[30]    

Mao, E. “An Investigation of IT Usage Over Time,” Proceedings of the Eighth Americas Conference on Information Systems, 2002, pp. 1307-1312.

[31]    

Michael R. Solomon, Yudith L, Zaichkowsky, and Rosemary Polegato, Consumer Behaviour; Buying, Having And Being-Canadian. Prentice Hall Canada, 1999, 2004. Consumer Behaviour; Buying, Having And Being. International Sixth Edition. Prentice Hall.

[32]    

Rachel Ashman et al., (2015). An old model for a new age: Consumer decision making in a participatory digital culture. Journal of customer behaviour, 2015, vol. 14, No. 2, pp 127-146, ISSN 1475-3928 print/ ISSN-1477-6421 online.

[33]    

Ramayah, T., & Ignatius, J. (2005). Impact of perceived usefulness, perceived ease of use and perceived enjoyment on intention to shop online. ICFAI Journal of Systems Management, 3 (3), 36-51.

[34]    

Rima Fayad (2006), Extension of the technology acceptance model in electroniccommerce- Doctoral thesis, Proquest, UMI Number: 3229520.

[35]    

Roger, E. M. (1995). Diffusion of innovations. The Free Press, New York.

[36]    

Schiffman, Leon G. & Leslie Lazar Kanuk. 2007. Consumer Behavior 9th Ed. New Jersey: Pearson Education Inc.

[37]    

Shumaila Y. Yousafzai et al., (2007), Technology acceptance: a meta-analysis of the TAM: Part 1, Journal of Modelling in Management, Vol. 2 No. 3, 2007, pp. 251-280, Emerald Group Publishing Limited, DOI 10.1108/17465660710834453.

[38]    

Suki, N. B. M. (2001). Malaysian Internet users motivation and concerns for shopping online. Malaysian Journal of Library and Information Science, 6 (2), 21-33.

[39]    

Van der Heijden, H, Verhagen, T. and Creemers, M. “Understanding online purchase intentions: contributions from technology and trust perspectives,” European Journal of Information Systems, (12), 2003, pp. 41-48.

[40]    

Venkatesh, V. and Davis, F. D. (1996). A model of the antecedents of perceived ease of use: development and test, Decision Sciences, 27 (3): 451-481.

[41]    

Venkatesh, V, Morris, M. G., Davis, G. B., and Davis, F. D. “User Acceptance of Information Technology: Toward a Unified View,” MIS Quarterly (27:3), 2003, pp. 425-478.

[42]    

Wang, F., Zhang, H., Zhang, H., & Ouyang, M. (2005). Purchasing pirated software: an initial examination of Chinese consumers. The Journal of Consumer Marketing, 22 (6), 2340-2351. http://dx.doi.org/10.1108/07363760510623939.

[43]    

W. C. May So, T. N. Danny Wong, Domenic Sculli, (2005) "Factors affecting intentions to purchase via the internet", Industrial Management & Data Systems, Vol. 105 Issue: 9, pp. 1225-1244, https://doi.org/10.1108/02635570510633275

[44]    

Weng Marc Lim and Ding Hooi Ting, E-shopping: an Analysis of the Technology Acceptance Model, Modern Applied Science, Vol. 6, No. 4; April 2012, doi: 10.5539/mas.v6n4p49.

[45]    

Yu, J. L., Liu, C. and Yao, J. E. “Technology acceptance model for wireless Internet,” Internet Research, (13:3), 2003, pp. 206-223.

[46]    

Zhu Beiyu et al (2015), Factors Influencing Consumer Online Information Search in Yinchuan, China, IOSR Journal Of Humanities And Social Science (IOSR-JHSS), Volume 20, Issue 6, Ver. II (Jun. 2015), PP 65-70, e-ISSN: 2279-0837, p-ISSN: 2279-0845.





 
  Join Us
 
  Join as Reviewer
 
  Join Editorial Board
 
share:
 
 
Submission
 
 
Membership