Antecedents of Knowledge Transfer from Consultants to Clients in Enterprise System Implementations

By Dong-Gil Ko, Laurie J. Kirsch, William R. King. MIS Q., 2005

1,351 citations recorded by the source corpus.

Subfields: Management Information Systems

View Paper: https://www.semanticscholar.org/paper/77d2150b87d0fef87ca05493d5f92e5c374a4aff

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In Management Information Systems

Citations in the corpus

Intellectual capital and performance measurement systems in Iran (2018, background): “Construct, convergent and discriminant validity were demonstrated in several studies (e.g. Ko et al., 2005; Karimi et al., 2004; Teo et al., 2003; Chin et al., 2003; Chwelos et al., 2001).”
Absorptive Capacity and Information Systems Research: Review, Synthesis, and Directions for Future Research (2012, background): “For example, two studies (Ko et al. 2005; Xu and Ma 2008) adapt Szulanski’s (1996) work to measure a client’s ERP implementation knowledge (e.g., implementation vision, implementation understanding, technical competence, and managerial competence).”
Motivating knowledge sharing through a knowledge management system (2008, neutral): “[69] in the context of ERP implementation.”
Resource Structuring or Capability Building? An Empirical Study of the Business Value of Information Technology (2012, background): “The relational IT resources also include positive relationships between the IT function and external players such as software vendors and consultants, which promote knowledge transfer and internalization from external entities to the focal firm [42, 104, 116].”
Knowledge sharing and social media: Altruism, perceived online attachment motivation, and perceived online relationship commitment (2014, methodology): “Building on the work of Ko et al. (2005), Ma and Yuen (2011) develop and empirically validate an online knowledge sharing scale using different samples in different online environments.”
Digital innovation: A review and synthesis (2019, background): “…studies spanning research clusters identified using scientometrics (Armstrong & Sambamurthy, 1999; Chwelos, Benbasat, & Dexter, 2001; King et al., 1994; Ko, Kirsch, & King, 2005; Liang, Sharaf, Hu, & Xue, 2007; Lyytinen & Yoo, 2002; Orlikowski, 1996; Straub, 1994; Swanson, 1994; Teo et al., 2003).”
A multidimensional view of intellectual capital: the impact on organizational performance (2015, background): “Similar to other structural equation modeling techniques, a two-step process is typically utilized in PLS (Chin et al., 2003; Chwelos et al., 2001; Karimi et al., 2004; Ko et al., 2005; Teo et al., 2003; Wixom and Watson, 2001).”
Guiding the use of Grounded Theory in Doctoral studies – an example from the Australian film industry (2011, methodology): “…of relating codes to each other) and selective (choosing a core category and relating other categories to that) Regarded by some as the only ‘true’ GTM Regarded by some as a form of qualitative data analysis (QDA) The research described in this paper adopts the former methodology, that of Glaser.”
A Knowledge Management Success Model: Theoretical Development and Empirical Validation (2006, background): “In addition to these, there are factors such as extrinsic rewards [12] as well as reciprocity, trust, cooperation, and pro-sharing norms [49, 52, 82] that are expected to affect the success of KM initiatives in an organization.”
Motivational Differences Across Post-Acceptance Information System Usage Behaviors: An Investigation in the Business Intelligence Systems Context (2013, methodology): “…given the richness and comprehensiveness of the RIM concept, we recommend future studies appropriate and validate RIM to other IS-related contexts, especially where intrinsic motivation plays an important role, e.g., IS project development (Shah 2006) and knowledge management (Ko et al. 2005).”
The effect of TQM practices on employee satisfaction and loyalty in government (2010, methodology): “The Partial Least Squares (PLS) approach was superior to other SEM approaches for this study because of its flexibility for distributional assumptions, its small sample size requirements, and its strength in handling complex predictive models (Fornell & Bookstein, 1982 ; Hulland, 1999 ; Ko, Kirsch”
The impact of electronic word-of-mouth: The adoption of online opinions in online customer communities (2008, background): “Information provided by highly credible sources is perceived to be useful and reliable, and thereby facilitates knowledge transfer (Ko et al., 2005).”