Categorization of Technologies: Insights from the Technology Acceptance Literature

Authors

  • Michael E. Ellis University of Central Arkansas
  • Miguel I. Aguirre-Urreta Texas Tech University
  • Kiljae (Kay) Lee Embry-Riddle Aeronautical University
  • Wenying Nan Sun Sun Washburn University
  • Yucong Liu Mansfield University
  • Juan Mao University of Texas at San Antonio
  • George M. Marakas Florida International University

Keywords:

Business, Economics, Finance, Technology

Abstract

This study develops a technology category framework to enable the investigation of a possible moderating effect of technology type on adoption behavior by extracting and analyzing the technology descriptions from 950 papers covering over 20 years of technology acceptance research. We utilize both human judgment and statistical techniques by using the results of the manual sorting of technology descriptions by six individuals as input for a multidimensional scaling and cluster analysis to group them into hierarchical cluster structures. One of several potential cluster solutions is selected for further discussion along with its limitations and the future work it suggests

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Published

2016-08-01

How to Cite

Ellis, M. E., Aguirre-Urreta, M. I., Lee, K. (Kay), Sun, W. N. S., Liu, Y., Mao, J., & Marakas, G. M. (2016). Categorization of Technologies: Insights from the Technology Acceptance Literature. Journal of Applied Business and Economics, 18(4). Retrieved from https://articlegateway.com/index.php/JABE/article/view/856

Issue

Vol. 18 No. 4 (2016)

Section

Articles

License

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