Technology Adoption Models- Models of Technology Adoption. Explain Models for Technology Adoption. Also, Examples of Technology Adoption Theories and Models.
Technology Adoption Models
The technology adoption models refer to the theories and frameworks that explain why people accept and utilize modern technology. It also describes how people adopt modern technology and use them in communication, business, health, education, and other sectors. Technology adoption means accepting and utilizing modern technology confidently. Researchers have introduced several technology adoption models in the recent decade to describe the reasons for technology adoption. They also mention the significant factors of these models that stimulate people to accept modern technology.
On the other hand, academicians consider a few factors that drive users to reject modern technology. The technology adoption models play a critical role in further improving technology. The COVID-19 pandemic has proved the importance of technology adoption in social, political, educational, and business contexts. Therefore, nobody can deny the usefulness of modern technology and its application in personal life.
The Importance of Technology Adoption Models
Technology adoption models answer the most common question, “why do people use the new technology?”. In addition, the researchers and practitioners present factors that influence people to accept new technology. Technology has become an inevitable part of daily life. For example, in the COVID-19 pandemic, students have conducted virtual classes through online meeting platforms such as Google Meet, Zoom Meeting, Microsoft Team, and Skype. Additionally, many organizations have handled corporate meetings via these web conferencing applications. They have also generated virtual meeting minutes and submitted them by the technological tool. The technology adoption models are developed in order to propose the reasons and consequences of using the technology.
Models of Technology Adoption
The Models of Technology Adoption are:
- Technology Acceptance Model(TAM)-1986
- Extended Technology Acceptance Model (TAM 2) (ETAM)- 2002
- Unified Theory of Acceptance and Use of Technology (UTAUT)- 2003
- Technology Acceptance Model-3 (TAM 3)-2008
- Extending Unified Theory of Acceptance and Use of Technology (UTAUT2 (2012)
- Motivational Model (MM)-1992
- Motivational Model of Microcomputer Usage-1996
- Uses and Gratification Theory (U&G)-1974
- Diffusion of Innovation Theory- 1962
- Perceived Characteristics of Innovating Theory (PCIT)
- The Model of PC Utilization (MPCU)-1991
These are examples of technology adoption models and theories.
1. Technology Acceptance Model(TAM)-1986
Fred D. Davis introduced the technology acceptance model(TAM) in 1986 in his Ph.D. thesis paper titled “A TECHNOLOGY ACCEPTANCE MODEL FOR EMPIRICALLY TESTING NEW END-USER INFORMATION SYSTEMS: THEORY AND RESULTS”. Initially, in 1986, Fred D. Davis included three elements: perceived usefulness, perceived ease of use, and attitude toward using the system. The technology acceptance model outlines three factors: perceived usefulness, perceived ease of use, and attitude toward using the system. It also represents the design feature with X1, X2, and X3.
Technology Acceptance Model (TAM) (Davis, 1989)
Fred D. Davis published the technology acceptance model again, namely “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology ” in Management Information Systems Research Center, the University of Minnesota, in 1989. So, the model is familiar as Technology Acceptance Model (TAM) (Davis, 1989).
The study develops and validates the two constructs, perceived usefulness and perceived ease of use. The author also tested the validity and reliability of the variables with two six-item scales. Davis also proved that the construct “perceived ease of use” is a causal antecedent to perceived usefulness. These two constructs are prime determinants of system use and user acceptance.
Technology Acceptance Model (TAM) (Davis et al., 1989)
However, In 1989, Fred D. Davis, Richard P. Bagozzi, Paul R. Warshaw presented the technology acceptance model in the research paper “User Acceptance of Computer Technology: A Comparison of Two Theoretical Models”, published by the Institute for Operations Research and the Management Sciences (INFORMS) located in Maryland, USA.
Fred D. Davis is a professor at the University of Michigan School of Business Administration. His research interests include user acceptance of technology, technology support to make decisions, and motivational factors of computer acceptance. TAM model was certainly derivated from the adoption Theory of Reasoned Action (TRA), which describes the factors that stimulate people to change human behavior. It has also been designated as the most cited model in the field of information and communication technology(ICT). The technology acceptance model(TAM) is certainly one of the most significant technologies adoption models.
Final Version of Technology Acceptance Model
The Final Version of the Technology Acceptance Model was developed by Venkatesh and Davis in 1996. The Technology Acceptance Model (TAM) explains the user’s intention to accept technology by three variables: perceived usefulness, ease of use, and attitude toward use. The additional factors of the TAM are user education, system features, user participation in the design, and the nature of the execution method. However, it excludes the social influence factor on the acceptance of modern technology. So, the researchers and practitioners term it as the limitation of the model for being implemented beyond the workplace.
However, In 1996, Viswanath Venkatesh and Fred D. Davis included an additional variable, “External Variables”, to the previous model and outlined the final version of the Technology Acceptance Model.
“The TAM, TAM2, ETAM, TAM3 and UTAUT have been used over the years by various researchers to explain the adoption technology systems”.
2. Extended Technology Acceptance Model (TAM 2) (2000)
Venkatesh and Davis added new factors to the Technology Acceptance Model and established the Extended Technology Acceptance Model (TAM 2) in 2000. The extended technology acceptance model is also known as the TAM2 and ETAM. ETAM described two groups of constructs, for example, social influence processes and cognitive instrumental determinants.
The three social influence determinants are subjective norm, voluntariness, and image. Additionally, the four cognitive instrumental processes of perceived usefulness are Job relevance, Output quality, Result demonstrability, and Perceived ease of use. Both social influence and cognitive instrumental determinants stimulate users to accept and use the system.
3. Unified Theory of Acceptance and Use of Technology (UTAUT) (2003)
Viswanath Venkatesh, Michael G. Morris, Gordon B. Davis, and Fred D. Davis established the Unified Theory of Acceptance and Use of Technology (UTAUT) in 2003, under the title of the “User Acceptance of Information Technology: Toward a Unified View”.
The Unified Theory of Acceptance and Use of Technology (UTAUT) was developed from eight renowned technology acceptance modes. “The eight models are the theory of reasoned action (TRA), the technology acceptance model (TAM), the motivational model (MM), the theory of planned behavior (TPB), a model combining the technology acceptance model and the theory of planned behavior, the model of PC utilization (MPCU), the innovation diffusion theory, and the social cognitive theory (SCT).”
Firstly, the authors analyze the eight models and review the literature on user acceptance. Secondly, they investigate and compare those models’ extensions. Additionally, they develop the unified model based on the eight models’ components. Finally, the unified model was tested empirically and validated using data.
The four prime constructs of UTAUT are 1) Performance Expectancy, 2) Effort Expectancy, 3) Social Influence, and 4) Facilitating Conditions.
The first three constructs (Performance Expectancy, Effort Expectancy, Social Influence) determine user intention and behavior. However, the fourth element (Facilitating Conditions) directly determines user behavior. Besides, the four moderate variables are Gender, age, experience, and voluntariness.
4. Technology Acceptance Model 3 (2008)
Technology Acceptance Model (TAM3) was introduced by Venkatesh and Bala in 2008. TAM-3 provides valuable rational explanations of how and why individuals make a decision about the adoption and use of ITs, particularly the work on the determinants of perceived usefulness and perceived ease of use.
5. Extending Unified Theory of Acceptance and Use of Technology (UTAUT2) (2012)
Venkatesh, Thong, and Xu established the Extending Unified Theory of Acceptance and Use of Technology (UTAUT2) in 2012. They added three additional variables, including hedonic motivation, price value, and
habit, to the UTAUT in order to explain customer technology adoption. The Extending Unified Theory of Acceptance and Use of Technology contains age, gender, and experience to moderate variables; however, it excludes the variable of voluntariness.
6. Motivation Model (MM) (1992)
Davis, Bagozzi, and Warshaw introduced the motivational model (MM) in 1992. The Motivational Model describes the external and natural stimulants that integrate users’ behaviors. According to the Motivation Model, the two crucial elements of motivation are extrinsic and intrinsic motivation. Firstly, extrinsic motivation includes perceived usefulness, ease of use, and subjective norm. It is the acknowledgment that stimulates the users to perform the action. On the other hand, intrinsic motivation includes the magnitude of enjoyment derived from recreating with a computer.
7. Motivational Model of Microcomputer Usage (1996)
The Motivational Model of Microcomputer Usage was introduced by Magid Igbaria, Saroj Parasuraman, and Jack J. Baroudi in 1996. It is also known as Igbaria’s model.
According to the Motivational Model of Microcomputer Usage, the intrinsic and extrinsic motivators simulate people accepting the new technologies or rejecting them. This model describes perceived fun as the intrinsic motivator; however, perceived usefulness is the extrinsic motivator that influences people’s behavior to use computers.
8. Uses and Gratifications Theory (1974)
Katz, Blumler, and Gurevitch established the uses and gratifications theory in 1974. It explains why people utilize certain kinds of communication media. It also describes the gratification of the people using these media compared to others. The U & G theory explains why people utilize certain media and what benefits they get from it. The U&G theory includes three constructs; motivations, behavioral usage, and gratifications/ satisfaction.
9. Diffusion of Innovations Theory (DOI) (1962)
Diffusion of Innovations Theory explains why people accept new ideas and technology or reject them. It also describes how the use of technology spread among people quickly. In 1962, Everett M. Rogers published the diffusion of innovation theory in his book Diffusion of Innovations. Therefore, it is known as rogers’ theory of technology adoption.
The five elements of the diffusion of innovation theory are Innovators, Early Adopters, Early Majority, Late Majority, and Laggards.
10. Perceived Characteristics of Innovating Theory (PCIT) (1991)
Moore and Benbasat introduced the perceived characteristics and innovation theory in 1991. Perceived Characteristics of Innovating Theory is certainly developed from Rogers’s perceived Attributes Innovation (PAI) theory. Perceived Characteristics of Innovating Theory added two additional factors: Image and voluntariness. It also separates the constructs of observability into Visibility and Results Demonstrability. Additionally, PCI renamed Rogers’ complexity to ease of use and remained other characteristics the same as before.
11. Model of PC Utilization (MPCU)-(1991)
Thompson, Higgins, and Howell established the Model of PC Utilization (MPCU) in 1991. They extended Triandis’ model to explain PC utilization attitudes. The Model of PC utilization describes six elements of personal computer utilization such as job fit, complexity, long-term consequences, affect towards use, social factors, facilitating conditions, and experience in order to predict PC utilization behavior. However, it differs from the Theory of Reasoned Action as it differentiates between cognitive and affective elements of attitudes.