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Gary S. Lynn

Researcher at Stevens Institute of Technology

Publications -  97
Citations -  10873

Gary S. Lynn is an academic researcher from Stevens Institute of Technology. The author has contributed to research in topics: New product development & Team learning. The author has an hindex of 46, co-authored 97 publications receiving 9463 citations. Previous affiliations of Gary S. Lynn include April & Lynn University.

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Lateral Collinearity and Misleading Results in Variance-Based SEM: An Illustration and Recommendations

TL;DR: A new approach for the assessment of both vertical and lateral collinearity in variance-based structural equation modeling is proposed and demonstrated in the context of the illustrative analysis, showing that standard validity and reliability tests do not properly capture lateral collInearity.
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Lateral Collinearity and Misleading Results in Variance-Based SEM: An Illustration and Recommendations

TL;DR: In this paper, a new approach for the assessment of both vertical and lateral collinearity in variance-based structural equation modeling is proposed and demonstrated in the context of the illustrative analysis.
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Marketing and Discontinuous Innovation: The Probe and Learn Process

TL;DR: The disappointing performance of U.S. firms during the 1980s in technology-intensive, global markets (such as consumer electronics, office and factory automation, and semiconductor memories) has been widely attributed to a failure to continuously and incrementally improve products and processes as discussed by the authors.
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Marketing and Discontinuous Innovation: The Probe and Learn Process

TL;DR: In this paper, the authors present case studies of four discontinuous innovations (CAT scanners (by GE), optical fibers (by Corning), cellular phones (by Motorola), and NutraSweet® (by Searle, now Monsanto) and demonstrate how they are fundamentally different from the conventional process of incremental innovation.
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Knowledge Networks in New Product Development Projects: A Transactive Memory Perspective

TL;DR: It is found that team stability, team member familiarity, and interpersonal trust had apositive impact on the transactive memory system and also had a positive influence on team learning, speed-to-market, and new product success.