Measuring the Acceptance of Internet Technology by Consumers

This research reviews studies using the Technology Acceptance Model (TAM) to create a modified model and instrument to study the acceptance of Internet technology by consumers. We developed a modified TAM for the acceptance of Internet-based technologies by consumers. We retained the original constructs from the TAM and included additional constructs from previous literature including gender, experience, complexity, and voluntariness. We developed a survey instrument using existing scales from prior TAM instruments and modified them where appropriate. The instrument yielded respectable reliability and construct validity. The findings suggest that the modified TAM is a good predictor of consumer behavior in using the Internet. We found that attitude toward using the Internet acts as a strong predictor of behavioral intention to use, and actual usage of Internet technologies. Future researchers can use the resultant instrument to test how consumers adopt and accept Internet-based applications.

[1]  Kieran Mathieson,et al.  Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior , 1991, Inf. Syst. Res..

[2]  Ritu Agarwal,et al.  Are Individual Differences Germane to the Acceptance of New Information Technologies , 1999 .

[3]  Heshan Sun,et al.  Toward a Deeper Understanding of the Technology Acceptance Model: An Integrative Analysis of TAM , 2003, AMCIS.

[4]  Heikki Karjaluoto,et al.  Consumer acceptance of online banking: an extension of the technology acceptance model , 2004, Internet Res..

[5]  Shwu-Ing Wu The relationship between consumer characteristics and attitude toward online shopping , 2003 .

[6]  John G. Gammack,et al.  Virtual Reality, Involvement and the Consumer Interface , 2003, J. Organ. End User Comput..

[7]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[8]  Hans van der Heijden,et al.  Using the Technology Acceptance Model to Predict Website Usage: Extensions and Empirical Tests , 2000 .

[9]  Marios Koufaris,et al.  The Effect of Web Site Perceptions on Initial Trust in the Owner Company , 2005, Int. J. Electron. Commer..

[10]  Jane M. Carey,et al.  Cultural Aspects for Technology Acceptance: Asian Perspectives and Research Techniques , 2005, AMCIS.

[11]  Gordon B. Davis,et al.  Testing the Determinants of Microcomputer Usage via a Structural Equation Model , 1995, J. Manag. Inf. Syst..

[12]  C. Mathwick Understanding the online consumer: A typology of online relational norms and behavior , 2002 .

[13]  Anthony D. Miyazaki,et al.  Consumer Perceptions of Privacy and Security Risks for Online Shopping , 2001 .

[14]  Karl Long Customer loyalty and experience design in e‐business , 2010 .

[15]  Deborah Compeau,et al.  Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study , 1999, MIS Q..

[16]  F. Reichheld,et al.  E-LOYALTY: YOUR SECRET WEAPON ON THE WEB , 2003 .

[17]  C. Dennis,et al.  From bricks to clicks: understanding the e‐consumer , 2002 .

[18]  Viswanath Venkatesh,et al.  Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior , 2000, MIS Q..

[19]  R. Zmud,et al.  Information technology implementation research: a technological diffusion approach , 1990 .

[20]  M. Featherman,et al.  EXTENDING THE TECHNOLOGY ACCEPTANCE MODEL BY INCLUSION OF PERCEIVED RISK , 2001 .

[21]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[22]  Christina M. Gardner,et al.  Development of an instrument to measure the acceptance of Internet technology by consumers , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

[23]  Peter A. Todd,et al.  Consumer Reactions to Electronic Shopping on the World Wide Web , 1996, Int. J. Electron. Commer..

[24]  R. Watson,et al.  THE WORLD WIDE WEB AS AN ADVERTISING MEDIUM , 1996 .

[25]  H. Raghav Rao,et al.  On risk, convenience, and Internet shopping behavior , 2000, CACM.

[26]  Young-Gul Kim,et al.  Identifying key factors affecting consumer purchase behavior in an online shopping context , 2003 .

[27]  Magid Igbaria,et al.  A Motivational Model of Microcomputer Usage , 1996, J. Manag. Inf. Syst..

[28]  David Gefen,et al.  Customer Loyalty in E-Commerce , 2002, J. Assoc. Inf. Syst..

[29]  José Luis Roldán Salgueiro,et al.  Web Acceptance and Usage Model: A Comparison between Goal-directed and Experiential Web Users , 2005 .

[30]  Nor Laila Md. Noor,et al.  Community Acceptance of Knowledge Sharing System in the Travel and Tourism Websites: an Application of an Extension of TAM , 2005, ECIS.

[31]  Meryl Davids Landau CORPORATE UNIVERSITIES CRACK OPEN THEIR DOORS , 2000 .

[32]  Ronald T. Cenfetelli An Empirical Study of the Inhibitors of Technology Usage , 2004, ICIS.

[33]  Bart J. Bronnenberg,et al.  Exploring the implications of the internet for consumer marketing , 1997 .

[34]  Dale Goodhue,et al.  Task-Technology Fit and Individual Performance , 1995, MIS Q..

[35]  Hans van der Heijden,et al.  User Acceptance of Hedonic Information Systems , 2004, MIS Q..

[36]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[37]  Mark P. Leach,et al.  Building customer relations over the Internet , 2002 .

[38]  Paul Jen-Hwa Hu,et al.  Examining Effects of Cognitive Style on Technology Acceptance Decisions , 2005, PACIS.

[39]  Izak Benbasat,et al.  Trust and TAM for Online Recommendation Agents , 2004, AMCIS.

[40]  A. Kau,et al.  Typology of online shoppers , 2003 .

[41]  Rolph E. Anderson,et al.  E‐satisfaction and e‐loyalty: A contingency framework , 2003 .

[42]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[43]  Jen-Her Wu,et al.  What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model , 2005, Inf. Manag..

[44]  R. Watson,et al.  From Surfer to Buyer on the WWW: What Marketing Managers Might Want to Know , 1996 .

[45]  Shu-Sheng Liaw,et al.  An investigation of user attitudes toward search engines as an information retrieval tool , 2003, Comput. Hum. Behav..

[46]  Sung-joon Yoon,et al.  The antecedents and consequences of trust in online-purchase decisions , 2002 .

[47]  Sandeep Krishnamurthy,et al.  An Empirical Study of the Causal Antecedents of Customer Confidence in E-Tailers , 2001, First Monday.

[48]  Qingxiong Ma,et al.  The Role of Internet Self-Efficacy in Accepting Web-based Medical Records , 2003, AMCIS.

[49]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[50]  Wynne W. Chin,et al.  On the use, usefulness, and ease of use of structural equation modeling in MIS research: a note of caution , 1995 .

[51]  Gerald L. Lohse,et al.  Electronic shopping , 1998, CACM.

[52]  Elena Karahanna,et al.  Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage , 2000, MIS Q..

[53]  M. Gilly,et al.  Shopping Online for Freedom, Control, and Fun , 2001 .

[54]  Magid Igbaria,et al.  Personal Computing Acceptance Factors in Small Firms: A Structural Equation Model , 1997, MIS Q..

[55]  Raymond R. Burke Technology and the customer interface: What consumers want in the physical and virtual store , 2002 .

[56]  Detmar W. Straub,et al.  Trust and TAM in Online Shopping: An Integrated Model , 2003, MIS Q..

[57]  Marios Koufaris,et al.  Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior , 2002, Inf. Syst. Res..

[58]  Detmar W. Straub,et al.  Gender Differences in the Perception and Use of E-Mail: An Extension to the Technology Acceptance Model , 1997, MIS Q..

[59]  D. Amoroso Successful Penetration into the e-Business Environment: An Empirical Study , 2003 .

[60]  Lan Xia,et al.  Effects of Interruptions on Consumer Online Decision Processes , 2002 .

[61]  Patrick Y. K. Chau,et al.  An Empirical Assessment of a Modified Technology Acceptance Model , 1996, J. Manag. Inf. Syst..

[62]  Jonna Holland,et al.  Customer participation in creating site brand loyalty , 2001 .

[63]  Gurpreet Dhillon,et al.  TORKZADEH AND DHILLON Measuring Factors that Influence the Success of Internet , 2015 .

[64]  Marcel Creemers,et al.  Understanding online purchase intentions: contributions from technology and trust perspectives , 2003, Eur. J. Inf. Syst..

[65]  Herbjørn Nysveen,et al.  Loyalty of on-line bank customers , 1999, J. Inf. Technol..

[66]  David Gefen,et al.  TAM or Just Plain Habit: A Look at Experienced Online Shoppers , 2003, J. Organ. End User Comput..

[67]  Fred D. Davis A technology acceptance model for empirically testing new end-user information systems : theory and results , 1985 .

[68]  Marcel Creemers,et al.  Predicting online purchase behavior: replications and tests of competing models , 2001, Proceedings of the 34th Annual Hawaii International Conference on System Sciences.

[69]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[70]  Bernadette Szajna,et al.  Software Evaluation and Choice: Predictive Validation of the Technology Acceptance Instrument , 1994, MIS Q..

[71]  Paul Jen-Hwa Hu,et al.  Information Technology Acceptance by Individual Professionals: A Model Comparison Approach , 2001, Decis. Sci..

[72]  Prashant Palvia,et al.  Explaining Alternative Behaviors of Online Consumers: An Integration of the Technology Acceptance Model to Preferential Decision , 2003, AMCIS.

[73]  John G. Lynch,et al.  Interactive Home Shopping: Consumer, Retailer, and Manufacturer Incentives to Participate in Electronic Marketplaces , 1997 .

[74]  Thomas F. Stafford,et al.  International and Cross-Cultural Influences on Online Shopping Behavior , 2004 .

[75]  E. Vance Wilson,et al.  Predicting Continuing Acceptance of IT in Conditions of Sporadic Use , 2005, AMCIS.

[76]  Helge Thorbjørnsen,et al.  The impact of brand loyalty on website usage , 2004 .

[77]  Charles D. Barrett Understanding Attitudes and Predicting Social Behavior , 1980 .

[78]  A. Athiyaman Internet users’ intention to purchase air travel online: an empirical investigation , 2002 .

[79]  Donna L. Hoffman,et al.  Measuring the Customer Experience in Online Environments: A Structural Modeling Approach , 2000 .

[80]  Brian Whitworth,et al.  The Web of System Performance: Extending the TAM Model , 2005, AMCIS.

[81]  Yujong Hwang,et al.  An Empirical Study of Online Trust and Consumer Behavior: Cultural Orientation, Social Norms, and Personal Innovativeness in Information Technology , 2005, ICIS.

[82]  Leo R. Vijayasarathy,et al.  Shopping Orientations, Product Types and Internet Shopping Intentions , 2003, Electron. Mark..

[83]  Mark Srite,et al.  A Cultural Perspective on Technology Acceptance , 2005, AMCIS.

[84]  Chang Liu,et al.  Technology acceptance model for wireless Internet , 2003, Internet Res..

[85]  Detmar W. Straub,et al.  Measuring System Usage: Implications for IS Theory Testing , 1995 .

[86]  Jan Newmarch Lessons from Open Source: Intellectual Property and Courseware , 2001, First Monday.

[87]  J. L. Stimpert,et al.  Testing The Applicability of Porter's Generic Strategies In The Digital Age: A Study of Korean Cyber Malls , 2004, Journal of Business Strategies.

[88]  Peter A. Todd,et al.  Assessing IT usage: the role of prior experience , 1995 .

[89]  A. Parsons Non‐functional motives for online shoppers: why we click , 2002 .

[90]  Hans van der Heijden,et al.  Factors influencing the usage of websites: the case of a generic portal in The Netherlands , 2003, Inf. Manag..

[91]  John Ingham,et al.  Why do people use information technology? A critical review of the technology acceptance model , 2003, Inf. Manag..

[92]  Michael J. Shaw,et al.  An Investigation into Employees' Acceptance of Integrating Mobile Commerce into Organizational Processes , 2003, AMCIS.

[93]  Diane M. Strong,et al.  The Impact of Task-Technology Fit in Technology Acceptance and Utilization Models , 2004, AMCIS.

[94]  T. Girard,et al.  Relationship of Type of Product, Shopping Orientations, and Demographics with Preference for Shopping on the Internet , 2003 .

[95]  Cheri Speier,et al.  Web Site Acceptance: The Effects of Task Type , 2001 .

[96]  Subhasish Dasgupta,et al.  User Acceptance of E-Collaboration Technology: An Extension of the Technology Acceptance Model , 2002 .