Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Business
Motivational Differences Across Post-Acceptance Is Usage Behaviors, Xixi Li, J.J. Po-An Hsieh, Arun Rai
Motivational Differences Across Post-Acceptance Is Usage Behaviors, Xixi Li, J.J. Po-An Hsieh, Arun Rai
Computer Information Systems Faculty Publications
We identify two post-acceptance information system (IS) usage behaviors related to how employees leverage implemented systems. While routine use (RTN) refers to employees’ using IS in a routine and standardized manner to support their work, innovative use (INV) describes employees’ discovering new ways to use IS to support their work. We use motivation theory as the overarching perspective to explain RTN and INV and appropriate the rich intrinsic motivation (RIM) concept from social psychology to propose a conceptualization of RIM toward IS use, which includes intrinsic motivation toward accomplishment (IMap), intrinsic motivation to know (IMkw), and intrinsic motivation to experience …
A Motivational Account For Post-Acceptance Routine And Innovative Use: Introducing The Concept Of Tri-Dimensional Intrinsic Motivation, Xixi Li, J.J. Po-An Hsieh, Arun Rai
A Motivational Account For Post-Acceptance Routine And Innovative Use: Introducing The Concept Of Tri-Dimensional Intrinsic Motivation, Xixi Li, J.J. Po-An Hsieh, Arun Rai
Computer Information Systems Faculty Publications
We conceptualize two distinct post-acceptance usage behaviors: (1) routine use (RTN) refers to the use of information system (IS) consistent with normal work processes and (2) innovative use (INV) means users’ applying system features in novel ways. While RTN helps integrate the implemented IS into work processes, INV further extracts the value of the IS. Drawing on motivation theory, we propose a tri-dimensional intrinsic motivation (3D-IM) construct and hypothesize about the differential roles of intrinsic motivation (IM) and extrinsic motivation (EM) in explaining RTN and INV. Our first study confirms the measurement model of 3D-IM and illustrates its superior predictive …