Title :
Utilization of information technology: examining cognitive and experiential factors of post-adoption behavior
Author :
Lippert, Susan K. ; Forman, Howard
Author_Institution :
LeBow Coll. of Bus., Drexel Univ., Philadelphia, PA, USA
Abstract :
This paper investigates factors affecting the post-adoption behavior of first-tier supply chain members within the U.S. automotive industry toward a new information technology. This paper examined a specialized information technology known as the collaborative visibility network (CVN) used within the U.S. automotive industry that provides enhanced part-level visibility to its supply chain affiliates. Using existing research on innovation diffusion, this paper examines cognitive and experiential antecedents of post-adoption behavior. A model grounded in innovation diffusion theory, social learning theory, and the technology acceptance model is proposed and tested. Field interviews followed by a mail survey were used to collect data from 515 first-tier supply chain users of CVN. A structural equation model tested the hypothesized relationships to support the proposed model. Results confirmed the majority of the hypotheses. The opportunity to experiment, training effectiveness, prior experience with a similar technology, and prior technological knowledge have an effect on perceived ease of use and perceived usefulness, which ultimately affect technology performance. Implications of this study along with suggestions for future research are provided.
Keywords :
automobile industry; supply chains; technology management; U.S. automotive industry; cognitive factor; collaborative visibility network; data collection; experiential factor; first-tier supply chain member; information technology; innovation diffusion; mail survey; post-adoption behavior; social learning theory; structural equation model; technological knowledge; technology performance; Automotive engineering; Costs; Equations; Information technology; Inventory management; Logistics; Supply chains; Technological innovation; Testing; Transportation; Post-adoption behavior; structural equation modeling; technology adoption; technology internalization; technology performance; utilization;
Journal_Title :
Engineering Management, IEEE Transactions on
DOI :
10.1109/TEM.2005.851273