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Quality management Engineering & Materials Science
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Innovation Engineering & Materials Science
Industry Engineering & Materials Science
Waste disposal Engineering & Materials Science
Environmental management Engineering & Materials Science

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Projects 2007 2011

Sustaining High Quality Performance in Organizations

Schroeder, R., Linderman, K. W. & Van de Ven, A. H.

National Science Foundation


Project: Research project

Research Output 2000 2019

An empirical investigation of transaction dynamics in online surplus networks: A complex adaptive system perspective

Dhanorkar, S., Kim, Y. & Linderman, K. W., Jan 1 2019, In : Journal of Operations Management. 65, 2, p. 160-189 30 p.

Research output: Contribution to journalArticle

Adaptive systems
Complex networks
System theory
Land fill
Waste disposal
1 Citation (Scopus)

Metacognition-based process improvement practices

Cho, Y. S. & Linderman, K. W., May 1 2019, In : International Journal of Production Economics. 211, p. 132-144 13 p.

Research output: Contribution to journalArticle

Process improvement
Operations management
1 Citation (Scopus)

Avoiding epistemological silos and empirical elephants in OM: How to combine empirical and simulation methods?

Chandrasekaran, A., Linderman, K. W. & Sting, F. J., Nov 1 2018, In : Journal of Operations Management. 63, p. 1-5 5 p.

Research output: Contribution to journalArticle

Simulation methods
Empirical methods
Operations management
4 Citations (Scopus)

Managing quality crossroads in healthcare: An integrative supply chain perspective

Gardner, J. W., Linderman, K. W. & McFadden, K. L., Jan 1 2018, In : Quality Management Journal. 25, 1, p. 2-17 16 p.

Research output: Contribution to journalReview article

Supply chain
Quality management
Customer relationship
6 Citations (Scopus)

Promoting change from the outside: directing managerial attention in the implementation of environmental improvements

Dhanorkar, S. S., Siemsen, E. & Linderman, K. W., Jun 1 2018, In : Management Science. 64, 6, p. 2535-2556 22 p.

Research output: Contribution to journalArticle

Government agencies
Supply chain
Longitudinal data