People and information technology in the supply chain

Abstract

Understanding people and how they factor into complex information technology (IT) implementations is critical to reversing the growing trend of costly IT implementation failures. Accordingly, this article presents an approach to dissecting the social and organizational influences impacting peoples’ acceptance of technology designed to improve business performance. This article applies the diffusion of innovation theoretical framework to understand and analyze IT innovation implementation challenges. The diffusion approach is applied to two recent cases of implementations of IT supply chain innovations at two aerospace firms, both with complex, global, inter‐firm supply chains. Results indicate that several social and organizational factors do affect the implementation's success. Those factors include users’ perceptions of the innovation, the firm's culture, the types of communication channels used to diffuse knowledge of the innovation and various leadership factors.

A study of supply chain integration in the aeronautics sector

“…Interviews with experts have been extensively used in the literature with regard to this industry, and numerous case studies have been done (Russell and Hoag 2004, Zsidisin and Smith 2005, Laframboise and Reyes 2007, Esposito and Passaro 2009. The focus group is one of the most widely used research tools in social sciences, and previous studies were found in the literature that use these in the area that concerns this study, operations management in general (Dey et al 2006, Binder andEdwards 2010) and SCM in particular (Oehmen et al 2010, Tate et al 2010.…”

“…et al (2004);Reed and Walsh (2002);Rota et al (2002);Russell and Hoag (2004); Zuckerman (2007) CRS Anderson (1995); Bales et al (2004); Bozdogan et al (1998); Esposito and Passaro (2009); Gary and Pervaiz (2000); Grant (2003); Paliwoda and Bonaccorsi (1994); Farris et al (2005); Sinha et al (2004); Smith and Tranfield (2005) ORL Anderson (1995); Bales et al (2004); Brookes et al (2007); Cagliano et al (2005); Esposito and Passaro (2009); Farris et al (2005); Frear and Metcalf (1995); Gary and Pervaiz (2000); Morton et al (2006); Paliwoda and Bonaccorsi (1994); Sinha et al (2004); Rose-Anderssen et al (2008); Smith and Tranfield(2005)…”

Antecedents of ERP assimilation and its impact on ERP value: A TOE-based model and empirical test

“…A meta analysis of the technological innovation studies found that the first three attributes have the most significant impacts on the IT innovation diffusion (Tornatzky and Klein 1982). Later studies mostly focused on three attributes of IT innovation, that is, relative advantage, compatibility and complexity (Thong 1999;Russell and Hoag 2004;Yu and Tao 2009). Although particular factors identified within technology context may vary across different studies, considering ERP context we consider these three attributes, which are commonly recognized as the most important technological drivers in ERP assimilation.…”

Adoption of BIM by architectural firms in India: technology–organization–environment perspective

“…Studies conducted in 2007 in the US and Europe found that the existing BIM software is too complex to be used by most project team members (Gilligan & Kunz, 2007;Howard & Björk, 2008). Existing literature on innovation diffusion has shown that the rate of adoption decreases with the increase in implementation complexity of an innovation (Howard & Björk, 2008;Kunz, J. and Fischer, 2007;Newton & Chileshe, 2012;Russell & Hoag, 2004). That is, there is increased possibility of adoption if innovation is less complicated and is easy to use.…”