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Trillions of dollars are annually spent on the development and implementation of information technology within the United States and around the world. On average, roughly 50% of such systems are considered failures or fall short of meeting the expectations set forth by management. The lost productivity and high costs associated with these shortcomings necessitate the identification of alternative frameworks for facilitating the successful acceptance and continued internalization of new technologies. Internalization is defined as the effective and continued use of a technology over time. As such, this paper introduces a conceptual model for examining the effect of trust and planned change initiatives on technology adoption behavior. We propose that technology trust and interpersonal trust, when coupled with planned change initiatives, lead to greater technology adoption and internalization. A series of propositions are introduced and examined between trust, planned change, technology adoption, and internalization. Implications and recommendations for future explorations and development are presented. [ABSTRACT FROM AUTHOR]

Purpose — User uncertainty and risk are inherent in any technology adoption due to the perceived long-term consequences (LTC) associated with the internalization process. This study seeks to investigate antecedents of technology trust (TT) and perceived LTC associated with using a technology in order to understand the underlying attitudes and beliefs influencing supply chain members' trust in a specific information technology (IT). Design/methodology/approach — A theoretical model was tested through a survey of 449 supply chain members using an IT innovation for part-level visibility along the entire first-tier of a major US automotive supply chain. Findings — Empirical results confirm the basic structure of the model, including the role of TT impacting users' perceptions of LTC relative to internalizing the technology. Results also identify several uncertainty reducing antecedents of TT and perceived LTC including satisfaction with the existing system, task-technology fit, and prior similar experiences. Research limitations/implications — The study, although significant in terms of its power and the industry from which it is drawn, focuses on one-tier of a US automotive supply chain. It would be useful for future research in this area to include multi-tier supply chain members. Originality/value — This study represents an important first step in examining the relationship between uncertainty reduction relating to incorporating technology in the supply chain context. [ABSTRACT FROM AUTHOR]

Purpose -- Integrating information technologies in supply chains is becoming increasingly more important and challenging. The purpose is to develop a framework for understanding antecedents to internalizing technologies in supply chains. Design/methodology/approach -- A literature review covering over 30 years of interdisciplinary research was used as the theoretical underpinning for developing the supply chain internalization model (SCIM). A series of 93 personal interviews with members of a major automotive supply chain were conducted, and detailed qualitative data collected, to identify a set of significant antecedents to technology internalization. Findings -- The results of the research is an empirically derived framework, the SCIM, including a comprehensive set of 79 directional antecedents useful for academicians and practitioners for understanding factors impacting how information technologies are internalized in organizations and supply chains. Research limitations/implications -- Empirically testing the proposed directional relationships can be used to confirm their validity and measure the relative strengths of individual or interacting antecedents. The relationships outlined in the SCIM should be tested in a diverse array of industries in order to generalize the model. In addition, the relative strength of the factors should be tested since in different contexts. For more robust understandings, moderating and mediating effects amongst the variables should he identified. Practical implications -- Practitioners can use the SCIM as a source for established guidelines for developing strategies for implementing information technologies. Originality/value -- This paper lays the groundwork for facilitating the internalization of information technologies in supply chains and is flexible enough to accommodate future research into technology internalization. [ABSTRACT FROM AUTHOR]