Information Processing View of Organizations: An Exploratory Examination of Fit in the Context of Interorganizational Relationships
By G. Prem Premkumar, K. Ramamurthy, Carol Stoak Saunders. Journal of Management Information Systems, 2005
644 citations recorded by the source corpus.
Subfields: Management Information Systems
View Paper: https://www.semanticscholar.org/paper/6a2351c4db822c9c4f666e3e853f0797bbcb8cc3
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In Management Information Systems
- Angappa Gunasekaran
- Rameshwar Dubey
- Stephen J. Childe
- Samuel Fosso Wamba
- David Roubaud
- Cyril R. H. Foropon
- Dmitry A. Ivanov
- Monideepa Tarafdar
Citations in the corpus
- Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience (2019, background): “Further, proper alignment of the information processing needs and information processing needs capabilities enhances organizational performance ( Premkumar et al. 2005; Srinivasan and Swink, 2015, 2018; Fan et al. 2016, 2017).”
- Supply chain information systems strategy: Impacts on supply chain performance and firm performance (2014, methodology): “, 2006), procurement-related activities and supplier relationships (Premkumar et al., 2005; Subramani, 2004; Sanders, 2008).”
- Where To Go From Here? Thoughts on Future Directions for Research on Individual-Level Technology Adoption with a Focus on Decision Making (2006, neutral): “…Kekre, & Mukhopadhyay, 1994; Iacovou, Benbasat, & Dexter, 1995; Mukhopadhyay, Kekre, & Kalathur, 1995; Wang & Seidmann, 1995; Hart & Saunders, 1997, 1998; Chwelos, Benbasat, & Dexter, 2001; Teo, Wei, & Benbasat, 2003; Premkumar, Ramamurthy, & Saunders, 2005; Saed, Malhotra, & Grover, 2005).”
- Forcing technological change: A case of automobile emissions control technology development in the US (2010, background): “If one considers uncertainty as the lack of information necessary to perform a task (Galbraith, 1974; Premkumar et al., 2005) then, with each major regulatory target and timeline, the industry faced a compressed period of heightened technological uncertainty which was only resolved when a set novel…”
- A Knowledge Management Success Model: Theoretical Development and Empirical Validation (2006, background): “are earlier research studies [12, 16, 37, 70, 82] that have used two scale constructs; for example, extrinsic rewards [12] is a two-item construct, as is quality of information [16].”
- Effects of knowledge management strategy on organizational performance: A complementarity theory-based approach (2008, methodology): “Cluster analysis is a commonly used technique for empirically identifying patterns in complex sets of organizational variables in the KM research in particular [6,9,22] and more generally in the information systems literature [23–25].”