Scholars in many disciplines have considered the antecedents and consequences of various forms of trust. This paper generates 11 propositions exploring the relationship between Human Resource Information Systems (HRIS) and the trust an individual places in the inanimate technology (technology trust) and models the effect of those relationships on HRIS implementation success. Specifically, organizational, technological, and user factors are considered and modeled to generate a set of testable propositions that can subsequently be investigated in various organizational settings. Eleven propositions are offered suggesting that organizational trust, pooled interdependence, organizational community, organizational culture, technology adoption, technology utility, technology usability, socialization, sensitivity to privacy, and predisposition to trust influence an individual's level of trust in the HRIS technology (technology trust) and ultimately the success of an HRIS implementation process. A summary of the relationships between the key constructs in the model and recommendations for future research are provided.

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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.

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PurposeIntegrating 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/approachA 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.FindingsThe 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/implicationsEmpirically 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 be identified.Practical implicationsPractitioners can use the SCIM as a source for established guidelines for developing strategies for implementing information technologies.Originality/valueThis 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.