Innovation At and Across Multiple Levels of Analysis

By Anil K. Gupta, Paul E. Tesluk, M. Susan Taylor. Organ. Sci., 2007

418 citations recorded by the source corpus.

Subfields: Management of Technology and Innovation, Management Science and Operations Research, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/5722a339a1e23b0f978a1d870288439466498ddc

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In Management of Technology and Innovation

In Management Science and Operations Research

In Strategy and Management

Citations in the corpus

Introduction - Platforms and Infrastructures in the Digital Age (2018, background): “As a result, it stimulates distribution of expertise across geographical and organizational boundaries (Dhanaraj and Parkhe 2006, Gupta et al. 2007).”
Innovation as a Knowledge-Based Outcome (2011, background): “Innovation as an outcome of this process is considered in terms of new ideas (Gupta et al., 2007; Schulze and Hoegl, 2008; West and Farr, 1990), combinations (Obstfeld, 2005), solutions (Dosi, 1988; Myers and Marquis, 1969) or processes, products and procedures (Greve and Taylor, 2000; Myers and Mar”
Value Creation by Knowledge‐Based Ecosystems: Evidence from a Field Study (2012, positive): “In this respect, a multilevel approach serves to explore how the mechanisms at one level of analysis are linked to those at another, and as such provide a more complete perspective of a given phenomenon (e.g. Klein et al., 1994; Gupta et al., 2007).”
Organizing for Innovation in the Digitized World (2012, background): “…several decades, scholars of organizational science have noted that the reduction of communication and coordination cost as a result of information technology has led to a geographical dispersion of innovation activities (Dhanaraj and Parkhe 2006, Gupta et al. 2007, Maznevski and Chudoba 2000).”
Creating incentives for innovation? The relationship between pay dispersion in R&D groups and firm innovation performance (2013, background): “As a key component of organizational incentive structures, compensation designs are expected to influence the functioning of these employees (Gupta et al., 2007).”
A multilevel perspective on knowledge transfer: evidence from the Chinese automotive industry (2009, background): “For example, organizational learning involves both individual and collective learning (Argote, 1999; Crossan, Lane, and White, 1999), and innovation occurs at both individual and collective levels (Gupta et al., 2007).”
Digital product innovation within four classes of innovation networks (2016, background): “Social network analyses that have dominated one corner of innovation research have been strongly embraced recently as an important way to study innovation and associated knowledge ﬂ ows (Dhanaraj & Parkhe, 2006; Gupta et al ., 2007).”