Development, Extension, and Application: A Review of the Technology Acceptance Model: Development, Extension, and Application: A Review of the Technology Acceptance Model Jason Sharp
Computer Information Systems
Tarleton State University
Stephenville, Texas, USA
jsharp@tarleton.edu
Introduction: Introduction Question: Why do people accept or reject technology?
Technology Acceptance Model (TAM)
Geared specifically toward information technology
Strong reliability and validity of instruments
Extensive research: 147 articles between 1990 and 2003
Good example of how a model is extended and applied
Purpose:
To examine the development, extension, and application of TAM in order to identify potential areas of research for future study
To provide IS educators with a foundation for guiding students in regard to the TAM literature
To provide a starting point for evaluating educational technologies
To serve as a general reference for those interested in technology acceptance
Methodology: Methodology Keyword search of ABI Inform, Academic Search Premier, and IEEE Express
Criteria:
Extension of Legris, Ingham, and Collerette (2003)
Prior analysis of articles from 1980 to 2001
Current analysis of articles from 2001 to 2005
Compared articles utilizing a quantitative research method
PLS, LISREL, path or regression analysis
Broader range of journals than Legris et al. (2003)
Prior analysis included only six IT related journals
Articles grouped on logical categories chosen by the author (Strauss & Corbin, 1998)
A Review of the Technology Acceptance Model: A Review of the Technology Acceptance Model
Development
Development: TAM (Original): Development: TAM (Original) Perceived
Usefulness Perceived
Ease of Use Attitude Intention to
Use Usage
Behavior Davis (1989) Perceived ease of use – “the degree to which a person believes that using a particular system would be free of effort” (Davis, 1989, p. 320)
Perceived usefulness – “the degree to which a person believes that using a particular system would enhance his or her job performance” (p. 320)
Development: TAM (Original): Development: TAM (Original) Study 1
Technology: PROFS electronic mail and XEDIT editor
Sample Size: 120 users employed by IBM
Study 2
Technology: Chart-Master and Pendraw
Sample Size: 40 MBA students
Overall Findings:
Perceived Usefulness significant determinant of Usage
Perceived Ease of Use significant determinant of Usage
Effect of Perceived Usefulness significantly greater than Perceived Ease of Use
Attitude does not fully mediate effect of Perceived Usefulness and Perceived Ease of Use on Behavior
Perceived Ease of Use as an antecedent of Perceived Usefulness
Development: TAM (Parsimonious): Development: TAM (Parsimonious) Study (Davis, Bagozzi, and Warshaw, 1989)
Technology: WriteOne, word processor
Sample Size: 107 MBA students
Overall Findings
Perceived Usefulness strong significant determinant of Usage
Perceived Ease of Use significant determinant of Usage, but significantly weaker than Perceived Usefulness
Attitude only partially mediated effects of Perceived Usefulness and Perceived Ease of Use on Usage
Development: TAM (Parsimonious): Development: TAM (Parsimonious) Perceived
Usefulness Perceived
Ease of Use Intention to
Use Usage
Behavior Davis, Bagozzi, and Warshaw (1989)
Development: TAM2: Development: TAM2 Perceived
Usefulness Perceived
Ease of Use Intention to
Use Usage
Behavior Result
Demonstrability Output
Quality Job
Relevance Image Subjective
Norm Experience Voluntariness Venkatesh and Davis (2000)
Development: TAM2: Development: TAM2 Subjective Norm – influence of others on user’s decision to use or not use
Image – maintaining a favorable standing
Job Relevance – degree to which the target system is applicable
Output Quality – how well the system performs tasks
Result Demonstrability – tangible results
Experience – with the system
Voluntariness – perception of voluntary/mandatory use
Development: TAM2: Development: TAM2 Study 1 (voluntary):
Technology: Proprietary system
Sample Size: 38 floor supervisors
Study 2 (voluntary):
Technology: Migration to Windows-based environment
Sample Size: 39 personal financial services employees
Study 3 (mandatory):
Technology: Windows-based account management system
Sample Size: 43 accounting firm services employees
Study 4 (mandatory):
Technology: Stock portfolio analysis system
Sample Size: 36 investment banking employees
Development: TAM2: Development: TAM2 Perceived
Usefulness Perceived
Ease of Use Intention to
Use Usage
Behavior Result
Demonstrability Output
Quality Job
Relevance Image Subjective
Norm Experience Voluntariness Venkatesh and Davis (2000)
Development: Antecedents of Perceived Ease of Use: Development: Antecedents of Perceived Ease of Use Perceived
Usefulness Perceived
Ease of Use Intention to
Use Usage
Behavior Computer
Self-Efficacy Objective
Usability Direct
Experience Venkatesh and Davis (1996) Computer Self-efficacy – how does the user feel about their ability to use technology
Objective Usability – objective system measures, e.g., keystroke model, expert to novice performance comparison
Development: Antecedents of Perceived Ease of Use: Development: Antecedents of Perceived Ease of Use Study 1:
Technology: Chartmaster and Pendraw
Sample Size: 40 MBA students
Study 2:
Technology: WordPerfect and Lotus
Sample Size: 36 undergraduate students
Study 3:
Pine (electronic mail) and Gopher (information access)
Sample Size: 32 part-time MBA students
Overall Findings
Before hands-on experience, Computer Self-efficacy was a significant determinant of Perceive Ease of Use, Objective Usability was not
After direct experience, both Computer self-efficacy and Objective Usability were significant determinants of Perceived Ease of Use
Development: Antecedents Revised: Development: Antecedents Revised Perceived
Usefulness Perceived
Ease of Use Intention to
Use Usage
Behavior Objective
Usability Perceived
Enjoyment Computer
Playfulness Computer
Anxiety Perception of
External Control Computer
Self-Efficacy Venkatesh (2000) Perception of External Control - availability of support staff
Computer Anxiety – apprehension or fear
Computer Playfulness – desire to explore and play
Perceived Enjoyment – enjoyable apart from performance consequences
Development: Antecedents of Perceived Ease of Use: Development: Antecedents of Perceived Ease of Use Three studies measured three times over three months
Study 1:
Technology: Interactive online help desk system
Sample Size: 58 retail electronic store employees
Study 2:
Technology: Multimedia system for property management
Sample Size: 145 real estate agency employees
Study 3:
Technology: Migration to PC-based environment
Sample Size: 43 financial services employees
Pooled Results
T1: Perceived Enjoyment and Objective Usability not significant
T2: All antecedents significant
T3: Computer Playfulness not significant
A review of the Technology Acceptance Model: A review of the Technology Acceptance Model
Extension
Extension: Determinants of Intention to Use : Extension: Determinants of Intention to Use
Extension: Determinants of Attitude: Extension: Determinants of Attitude
Extension: External Variables of Usefulness: Extension: External Variables of Usefulness
Extension: External Variables of Ease of Use: Extension: External Variables of Ease of Use
A review of the Technology Acceptance Model: A review of the Technology Acceptance Model
Application
Application: Original TAM (Supporting): Application: Original TAM (Supporting) Perceived Usefulness a stronger determinant than Perceived Ease of Use
Application: Original TAM (Opposing): Application: Original TAM (Opposing) Perceived Ease of Use a stronger determinant than Perceived Usefulness
Application: Influence of Attitude on Intention: Application: Influence of Attitude on Intention
Application: Parsimonious TAM (Supporting): Application: Parsimonious TAM (Supporting) Perceived Usefulness a stronger determinant than Perceived Ease of Use
Application: Parsimonious TAM (Opposing): Application: Parsimonious TAM (Opposing) Perceived Ease of Use a stronger determinant than Perceived Usefulness
Application: TAM2 (Mixed results): Application: TAM2 (Mixed results) Subjective Norm and Image significant determinant of Perceived Usefulness
Results Demonstrability not a significant determinant of Perceived Usefulness
Perceived Ease of Use significant determinant of Perceived Usefulness, but not of Intention to Use
Perceived Usefulness significant determinant of Intention to Use
Application: Environment: Application: Environment
Research Potential: Research Potential Mixed results of Perceived Usefulness and Perceived Ease of Use as the stronger determinant
Ten studies supported Perceived Usefulness
Six studies supported Perceived Ease of Use
How does the type of technology of affect the results?
Volitional versus mandatory use environments
Fifteen studies conducted in volitional environments
Two studies conducted in mandatory environments
How does the environment affect the results?
The role of Attitude
Seven studies indicated Attitude as a direct determinant
Two studies indicated Attitude is not a direct determinant
Does attitude play a greater role than previously thought?
Importance to Information Systems Educators: Importance to Information Systems Educators Provides a foundation for assisting faculty to guide students about the history of TAM
Provides a quick summary of statistical significance of various determinants and external variables
Provides a starting point for evaluating educational technologies
Provides a ready reference of current technologies evaluated with TAM
Conclusion: Conclusion Examined the development, extension, and application of TAM
Identified three specific areas for future research
Constructed a ready reference for IS educators
Developed a general overview of TAM for those interested in technology acceptance
Development, Extension, and Application: A Review of the Technology Acceptance Model: Development, Extension, and Application: A Review of the Technology Acceptance Model Jason Sharp
Computer Information Systems
Tarleton State University
Stephenville, Texas, USA
jsharp@tarleton.edu
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