Kevin J. Dooley

Key takeaways

Kevin J. Dooley belongs to engineering; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Kevin J. Dooley to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Kevin J. Dooley from memory before moving on to harder problems.

Reference excerpt

Kevin John Dooley is an American scholar, and Professor of Supply Chain Management at the W. P. Carey School of Business at Arizona State University.

Biography Dooley studied at the University of Illinois, where he received his BS in industrial engineering in 1982, his MS in industrial engineering in 1984, and his PhD in mechanical engineering in 1987 for the thesis "A fault classification system for quality and productivity improvements in continuous processes" under supervision of Shiv G. Kapoor. Dooley started his academic career at the University of Minnesota in 1987 as assistant professor of mechanical engineering, and from 1992 to 1997 he was an associate professor and also director of the industrial engineering program. In 1997 he became professor of management and professor of industrial engineering at Arizona State University and since 2003 has been a professor of supply chain management in the W.P. Carey School of Business, and senior sustainability scientist at the ASU School of Sustainability since 2010. He is co-director of the Center for the Complex Adaptive Supply Networks Research Accelerator (CASN-RA), a global group of researchers using complexity science to study supply networks. He has been president and is currently trustee of the Society for Chaos Theory in Psychology & Life Sciences. In 2022, he won the Distinguished Scholar Award from the Academy of Management's Operations & Supply Chain Management Division. He was CEO of Crawdad Technologies, which created text analysis software from 2000 to 2008. In 2004, the New York Times cited their Mud Meter, which measured the negative-sentiment communications made by the Bush and Kerry presidential campaigns. In 2008, their Wonkosphere site used text analytics to track conservative and liberal blogs during the 2008 presidential campaign. Since 2008, Dooley has been a part of and is currently chief scientist at The Sustainability Consortium. The Consortium is a multi-stakeholder organization managed by Arizona State University and University of Arkansas that works with brands and retailers to make consumer products more sustainable. Dooley's research interests are in the field of the "application of complexity science to help organizations improve." His work includes applications to quality, innovation, organizational change, supply chain management, and sustainability. Dooley is also an amateur photographer whose Creative Commons works on Flickr are used often in publications and books, including Wikipedia and Wikimedia. He has been recognized for his work using Google Street View images.

Publications

Selected books Marshall Scott Poole, Andrew H. Van de Ven, Kevin Dooley, and Michael Holmes (2000) Organizational Change and Innovation Processes: Theory and Methods for Research. New York: Oxford University Press. Baumann, W., Fristch, J., and K. Dooley (2007). Network Maturity Model: An Integrated Process Framework for Computer Network Management. Parket, CO: Outskirts Press.

Selected articles Dooley, Kevin J. (1997). "A Complex Adaptive Systems Model of Organization Change". Nonlinear Dynamics, Psychology, and Life Sciences. 1 (1): 69–97. doi:10.1023/A:1022375910940. S2CID 61140681. Dooley, Kevin J.; Van de Ven, Andrew H. (June 1999). "Explaining Complex Organizational Dynamics". Organization Science. 10 (3): 358–372. doi:10.1287/orsc.10.3.358. Choi, Thomas Y; Dooley, Kevin J; Rungtusanatham, Manus (May 2001). "Supply networks and complex adaptive systems: control versus emergence". Journal of Operations Management. 19 (3): 351–366. doi:10.1016/S0272-6963(00)00068-1. Corman, Steven R.; Kuhn, Timothy; Mcphee, Robert D.; Dooley, Kevin J. (April 2002). "Studying Complex Discursive Systems". Human Communication Research. 28 (2): 157–206. doi:10.1111/j.1468-2958.2002.tb00802.x. Begun, James W; Zimmerman, Brenda; Dooley, Kevin J (2003). "Health Care Organizations as Complex Adaptive Systems". In Mick, Stephen S; Wyttenbach, Mindy E (eds.). Advances in Health Care Organization Theory. Jossey-Bass. pp. 253–288. ISBN 978-0-7879-5764-3. S2CID 20411773. Dooley, Kevin J. (January 2009). "The empiricism-modeling dichotomy in operations and supply management". Journal of Supply Chain Management. 45 (1): 38–43. doi:10.1111/j.1745-493X.2009.03154.x. Dooley, Kevin J. (6 June 2014). "The whole chain". Science. 344 (6188): 1108. Bibcode:2014Sci...344.1108D. doi:10.1126/science.1256025. PMID 24904153. S2CID 206559047.

References

External links Kevin Dooley Archived 2013-11-11 at the Wayback Machine at W. P. Carey School of Business

Worked examples

Example 1 — a first encounter with Kevin J. Dooley

Start with the simplest possible case. Write down what Kevin J. Dooley claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In engineering, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Kevin J. Dooley before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Kevin J. Dooley ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Kevin J. Dooley

In research: Kevin J. Dooley appears in engineering research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Kevin J. Dooley in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Kevin J. Dooley is common in secondary-school and first-year university syllabi. It links to neighbouring topics American industrial engineers, American mechanical engineers, Arizona State University faculty, so understanding it makes those chapters shorter.
In everyday life: Look for Kevin J. Dooley outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

How to study Kevin J. Dooley in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Kevin J. Dooley means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Kevin J. Dooley out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Kevin J. Dooley in simple terms?

Kevin John Dooley is an American scholar, and Professor of Supply Chain Management at the W. P.

Why does Kevin J. Dooley matter?

Because it connects several engineering ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Kevin J. Dooley?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Kevin J. Dooley.