The persistence of knowledge‐based advantage: an empirical test for product performance and technological knowledge
By S. McEvily, B. Chakravarthy. 2002
927 citations recorded by the source corpus.
Subfields: Sociology and Political Science, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/4868d182e59e4de86094f2d3e90bd23ecaf67e1b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Sociology and Political Science
- Henk W. Volberda
- Silvia Massini
- Arie Y. Lewin
- M. del Giudice
- Carla Maria Marques Curado
- Frits K. Pil
- T. Jones
- Allan Afuah
In Strategy and Management
- Henk W. Volberda
- N. J. Foss
- G. Knight
- Peter W. Liesch
- Marjorie A. Lyles
- Joseph T. Mahoney
- Carla Maria Marques Curado
- Curba Morris Lampert
Citations in the corpus
- Are network effects really all about size? The role of structure and conduct (2013, background): “Networks are one of the few contexts for exploring the interplay of the RBV, the PMP (market power view), and SNT.”
- Organizational culture and innovation culture: exploring the relationships between constructs (2012, background): “For example, knowledge creation and sharing have been found to contribute to improved performance and innovation (Darr et al., 1995; Epple et al., 1996; McEvily and Chakravarthy, 2002).”
- Knowledge‐based resources, entrepreneurial orientation, and the performance of small and medium‐sized businesses (2003, background): “In fact, it has been argued that knowledge has the greatest ability of all resources to serve as a source of sustainable differentiation, because of immobility ( McEvily and Chakravarthy, 2002 ) and general applicability (Miller and Shamsie, 1996).”
- Modularity: Implications for Imitation, Innovation, and Sustained Advantage (2006, background): “Reverse engineering, competitive intelligence, and partial design imitation should each be more effective when the relationships between product architecture and performance outcomes are simpler (Baldwin & Clark, 2000; McEvily & Chakravarthy, 2002; Ulrich & Tung, 1991).”
- How social capital and knowledge affect innovation (2011, background): “Elements are distinctwhen an individual cannot use the same knowledge to understand them, such that increasing the number of unique elements increases the amount of information that must be processed to understand the system's behavior (McEvily and Chakravarthy, 2002).”
- The effect of social networking sites and absorptive capacity on SMES’ innovation performance (2016, background): “In this sense, SNSs is part of enterprises’ eco-system where a wide flow of knowledge encourages the development of new innovative ideas (McEvily and Chakravarthy 2002; Schultze and Stabell 2004; Levy 2009; Hine et al. 2010).”