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Grounded in the technology acceptance model (TAM), this study examines the influence of technology trust and interorganizational trust on postadoption utilization. This study extends the innovation diffusion literature by drawing upon past diffusion research and considering trust-based determinants in facilitating technology usage. Field interviews were conducted to develop an understanding of the user population and the unique challenges the individuals experienced while working with the new system. The results of the interviews enabled the author to identify which variables to investigate further through the use of a survey data collection protocol. In the present study, 273 first-tier supply chain members of the second-largest U.S. automotive service-parts logistics operation, who were recently introduced to a new supply chain management technology, were surveyed. Using a structural equation model, nine hypotheses were tested. As hypothesized, an individual's technology trust and interorganizational trust have an effect on perceived ease of use and perceived usefulness, which further influence postadoption technology utilization behavior. The results suggest that even in supply chains where usage is mandated, the presence of technology and interorganizational trust can increase individual utilization of new technologies. Implications of this study along with suggestions for future research are provided. [ABSTRACT FROM AUTHOR]

Research to date on information technology (IT) adoption has focused primarily on homogeneous single country samples. This study integrates the Theory of Reasoned Action (TRA) and the Technology Acceptance Model (TAM) with Hofstede's (1980, 1983) Masculinity/Femininity (MAS-FEM) work value dimension to focus instead on post adoption attitudes and behaviors among a mixed gender sample of 366 United States and Canadian users ofa specialized supply chain IT. We test 11 hypotheses about attitudes towards IT within and between subgroups of users classified by nationality and gender. Consistent with the national MAS-FEM scores and contrary to the conventional consideration of the U.S. and Canada as a unitary homogenous cultural unit, we found significant differences between U.S. men and women, but not between Canadian men and women. These results support the importance of the MAS-FEM dimension—independent of gender—on user attitudes and help to clarify the relationship between culture and gender effects. Implications for managers responsible for technology implementation and management are discussed and directions for future research are offered. [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]