Technology Adoption And User Behaviour
466 researchers across 16 institutions
This research area investigates how individuals, groups, and organizations adopt and utilize new technologies. Scholars examine the psychological, social, and economic factors influencing technology adoption, including user experience, perceived usefulness, and behavioral intentions. Research employs diverse methodologies, such as surveys, experiments, qualitative interviews, and computational modeling, to understand user behavior across various technological domains, from digital platforms and software to emerging fields like artificial intelligence and virtual reality. Key sub-fields include human-computer interaction, digital literacy, technology acceptance models, and the societal impacts of technological change.
The insights generated are particularly relevant to Arkansas's diverse economy. Research informs strategies for technology adoption in key sectors like agriculture, manufacturing, and healthcare, addressing challenges and opportunities specific to the state's workforce and infrastructure. Understanding user behavior is crucial for developing effective digital tools for rural communities, improving public health outreach, and enhancing educational technology access across the state. This work also supports economic development by identifying pathways for businesses to integrate new technologies and for citizens to benefit from digital advancements.
This area benefits from extensive interdisciplinary collaboration, drawing on expertise from fields such as psychology, communication, economics, and computer science. Engagement spans multiple Arkansas higher education institutions, fostering a broad base of inquiry into the complex relationship between technology and human behavior.
Top Researchers
| Name | Institution | h-index | Citations | Career Stage | Badges |
|---|---|---|---|---|---|
| Varun Grover | University of Arkansas | 76 | 26,759 | High Impact | |
| M. Emre Celebi | University of Central Arkansas | 52 | 12,124 | High Impact | |
| Rajiv Sabherwal | University of Arkansas | 49 | 12,251 | Grant PI High Impact | |
| Kevin M. Fitzpatrick | University of Arkansas | 41 | 6,968 | High Impact | |
| K. L. Harvey | University of Arkansas | 39 | 4,989 | High Impact | |
| Christina Keller | UAMS | 37 | 5,503 | High Impact | |
| Jackie Bridges | UA Little Rock | 36 | 5,415 | High Impact | |
| John R. Hall | UA Little Rock | 35 | 4,089 | High Impact | |
| Hari Eswaran | UAMS | 34 | 3,955 | High Impact | |
| Jennifer L. Perry | UAMS | 34 | 4,946 | High Impact | |
| Jordan M. Glenn | University of Arkansas | 33 | 6,177 | High Impact Grants | |
| Kenneth W. Green | Southern Arkansas University | 33 | 5,649 | High Impact | |
| Nitin Agarwal | UA Little Rock | 30 | 4,110 | ARA High Impact | |
| Kalpana P. Padala | UAMS | 29 | 2,579 | High Impact | |
| Timothy Paul Cronan | University of Arkansas | 29 | 3,664 | High Impact | |
| Bernard Chen | University of Central Arkansas | 28 | 3,650 | High Impact | |
| John Aloysius | University of Arkansas | 27 | 1,949 | High Impact | |
| Michael Cucciare | UAMS | 26 | 2,466 | High Impact | |
| Ali S. Taha | UAMS | 26 | 3,110 | High Impact | |
| Michael F. Slavik | University of Arkansas | 26 | 1,732 | High Impact |
Related Research Areas
Cross-Institution Connections
Researchers at different institutions with overlapping expertise in Technology Adoption And User Behaviour.