TY - JOUR
T1 - The Influence of User Generation Differences on Individual Performance in Using Information Technology
AU - Widagdo, P. P.
AU - Susanto, T. D.
AU - Setyadi, H. J.
AU - Wardhana, R.
AU - Taruk, M.
AU - Pakpahan, H. S.
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2021/2/18
Y1 - 2021/2/18
N2 - The effect of different user generation in an organization is one of the factors that cause the decline of information technology user, this is due to the aging and characteristic difference factors of each user generations, so they impact individual performance in using information technology. Organization have user generation with very diverse age range, then the user information technology must have compatibility, flexibility, and ease in assisting completing tasks. This research is quantitative with analytical methods using Partial Least Square Structural Equation Modeling (PLS-SEM) at Mulawarman University in the generation. This study aims to identify and prove the influence of each generation of different users (Generation Y, Generation X, and Generation of Baby Boomers) on the performance of individuals in using information technology. Generation Y it was proven to be superior because the task characteristics had a significantly stronger influence than generation X and the generation baby boomers which was at the 0.05 level of significance. This study is useful for organizations in identifying the influencing factors from the real problems faced by user generation and assisting strategic decision making in order to improve information technology performance.
AB - The effect of different user generation in an organization is one of the factors that cause the decline of information technology user, this is due to the aging and characteristic difference factors of each user generations, so they impact individual performance in using information technology. Organization have user generation with very diverse age range, then the user information technology must have compatibility, flexibility, and ease in assisting completing tasks. This research is quantitative with analytical methods using Partial Least Square Structural Equation Modeling (PLS-SEM) at Mulawarman University in the generation. This study aims to identify and prove the influence of each generation of different users (Generation Y, Generation X, and Generation of Baby Boomers) on the performance of individuals in using information technology. Generation Y it was proven to be superior because the task characteristics had a significantly stronger influence than generation X and the generation baby boomers which was at the 0.05 level of significance. This study is useful for organizations in identifying the influencing factors from the real problems faced by user generation and assisting strategic decision making in order to improve information technology performance.
UR - http://www.scopus.com/inward/record.url?scp=85102348378&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1803/1/012031
DO - 10.1088/1742-6596/1803/1/012031
M3 - Conference article
AN - SCOPUS:85102348378
SN - 1742-6588
VL - 1803
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012031
T2 - 2020 2nd International Conference on Enhanced Research and Industrial Application 2020
Y2 - 8 October 2020 through 9 October 2020
ER -