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Abstracts prior to volume 5(1) have been archived!

Issue 5(1), October 2010 -- Paper Abstracts
Girard  (p. 9-22)
Cooper (p. 23-32)
Kunz-Osborne (p. 33-41)
Coulmas-Law (p.42-46)
Stasio (p. 47-56)
Albert-Valette-Florence (p.57-63)
Zhang-Rauch (p. 64-70)
Alam-Yasin (p. 71-78)
Mattare-Monahan-Shah (p. 79-94)
Nonis-Hudson-Hunt (p. 95-106)



JOURNAL OF APPLIED BUSINESS AND ECONOMICS

Categorization of Technologies: Insights from the Technology Acceptance Literature

Author(s): Michael E. Ellis, Miguel I. Aguirre-Urreta, Kiljae (Kay) Lee, Wenying Nan Sun, Yucong Liu, Juan Mao, George M. Marakas

Citation: Ellis Michael E., Aguirre-Urreta Miguel I., Lee Kiljae (Kay), Sun Wenying Nan, Liu Yucong, Mao Juan, Marakas Geroge M., (2016)"Categorization of Technologies: Insights from the Technology Acceptance Literature," Journal of Applied Business and Economics, Vol. 18, Iss.4, pp. 20-30

Article Type: Research paper

Publisher: North American Business Press

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.