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1

Coplien, James O. Organizational patterns of agile software development. Upper Saddle River, NJ: Pearson Prentice Hall, 2005.

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2

David, Kane, and Wilson James R, eds. Software architecture: Organizational principles and patterns. Upper Saddle River, NJ: Prentice Hall, 2001.

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3

Keidel, Robert W. Seeing organizational patterns: A new theory and language of organizational design. Washington, D.C: Beard Books, 2005.

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4

Seeing organizational patterns: A new theory and language of organizational design. San Francisco: Berrett-Koehler Publishers, 1995.

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5

Prybil, Lawrence D. Governance in large nonprofit health systems: Current profile and emerging patterns. [Lexington, Kentucky]: Commonwealth Center for Governance Studies, 2012.

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6

Lawrence, Paul R. The changing of organizational behavior patterns: A case study of decentralization. New Brunswick (U.S.A.): Transaction Publishers, 1991.

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7

Tebby, Susan. Patterns of organization in constructed art. Leicester: Leicester Polytechnic, 1985.

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8

Neuijen, Jan Abraham. Diagnosing organizational cultures: Patterns of continuance and change. Groningen: Wolters-Noordhoff, 1992.

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9

Agile adoption patterns: A roadmap to organizational success. Upper Saddle River, NJ: Addison-Wesley Professional, 2008.

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10

Holec, Miroslav. Patterns of organization structure in marketing activities. Prague: Institute of Management Prague, 1986.

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11

The study of organizations: Positions, persons, and patterns. Westport, Conn: Praeger, 1995.

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12

Saxenian, AnnaLee. Contrasting patterns of business organization in Silicon Valley. Berkeley: Institute of Urban and Regional Development, University of California at Berkeley, 1991.

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13

Krackhardt, David. "Friendship patterns and cultural attributions: The control of organizational diversity". Fontainbleau: INSEAD, 1986.

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14

John, Somers Mark, ed. Neural networks in organizational research: Applying pattern recognition to the analysis of organizational behavior. Washington, DC: American Psychological Association, 2006.

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15

Scarborough, David, and Mark John Somers. Neural networks in organizational research: Applying pattern recognition to the analysis of organizational behavior. Washington: American Psychological Association, 2006. http://dx.doi.org/10.1037/11465-000.

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16

Business organizations and collaborative web: Practices, strategies and patterns. Hershey, PA: Business Science Reference, 2011.

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17

Matronage: Patterns in women's organizations, Atlanta, Georgia, 1890-1940. Brooklyn, N.Y: Carlson Pub., 1994.

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18

Kelso, J. A. Scott. Dynamic patterns: The self-organization of brain and behavior. Cambridge, Mass: MIT Press, 1995.

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19

Kelso, J. A. Scott. Dynamic patterns: The self-organization of brain and behavior. Cambridge, Mass: MIT Press, 1995.

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20

Pattern dynamics: A theory of self-organization. Tokyo: Kodansha Scientific Ltd., 2001.

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21

Sarkar, Sudeep. Computing perceptual organization in computer vision. Singapore: World Scientific, 1994.

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22

L, Boyer Kim, ed. Computer perceptual organization in computer vision. Singapore: World Scientific, 1994.

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23

Association, Medical Group Management, ed. Managing the whirlwind: Patterns and opportunities in a changing world. Englewood, CO: Medical Group Management Association, 1993.

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24

Tyre, Marcie J. Windows of opportunity: Temporal patterns of technological adaptation in organizations. Cambridge, Mass: Alfred P. Sloan School of Management, Massachusetts Institute of Technology, 1992.

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25

Westney, D. Eleanor. Imitation and innovation: The transfer of Western organizational patterns to Meiji Japan. Cambridge, Mass: Harvard University Press, 1987.

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26

Willmott, Peter. Community initiatives: Patterns and prospects. London: Policy Studies Institute, 1989.

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27

Guy, Peters B., and Verhoest Koen, eds. The coordination of public sector organizations: Shifting patterns of public management. New York: Palgrave Macmillan, 2010.

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28

Eriksson, Annika. Animal papillomaviruses: Genomic organization, transcription pattern and transforming activities. Uppsala: Sveriges Lantbruksuniversitet, 1993.

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29

Transnational actors in global governance: Patterns, explanations, and implications. Houndmills, Basingstoke, Hampshire: Palgrave Macmillan, 2010.

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30

Changing patterns of finance in higher education. Buckingham [England]: Society for Research into Higher Education, 1992.

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31

Valk, Cheryl Ann. The kaleidoscopic factor: Creating profitable patterns for business success. New York: SelectBooks, Inc., 2016.

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32

O'Shaughnessy, John. Patterns of Business Organization (RLE: Organizations). Routledge, 2013. http://dx.doi.org/10.4324/9780203383865.

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33

Patterns of Business Organization (RLE: Organizations). Taylor & Francis Group, 2013.

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34

O'Shaughnessy, John. Patterns of Business Organization. Taylor & Francis Group, 2016.

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35

Puranam, Phanish. An introduction to the microstructural approach to organization design. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199672363.003.0001.

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Organization design research is a branch of organization science that is concerned with understanding how organizations work in terms of aggregating the actions of their members towards organizational goals, and how to make organizations work better. The microstructural approach to organization design abstracts away from the variety and complexity of organizations to a few fundamental and universal problems of organizing (that relate to how they aggregate their members’ efforts), as well as a few reusable building blocks, called microstructures (which capture common patterns of interaction between members of an organization). The complexity and variety of organization designs, this approach claims, can be understood in terms of these simpler elements. I give an overview of the basic ideas of the microstructural approach, and its implications for theory, methodology and practice.
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36

Wilson, James R., David M. Dikel, and David Kane. Software Architecture: Organizational Principles and Patterns. Prentice Hall PTR, 2000.

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37

Coplien, James O., and Neil B. Harrison. Organizational Patterns of Agile Software Development. Prentice Hall PTR, 2004.

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38

Coplien, James O., and Neil B. Harrison. Organizational Patterns of Agile Software Development. Prentice Hall PTR, 2004.

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39

Wilson, James R., David M. Dikel, and David Kane. Software Architecture: Organizational Principles and Patterns. Prentice Hall PTR, 2000.

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40

(Editor), Huw Beynon, and Theo Nichols (Editor), eds. Patterns of Work in the Post-Fordist Era: Fordism And Post-Fordism (Elgar Reference Collection). Edward Elgar Publishing, 2006.

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41

D, Stacey Ralph, ed. Experiencing emergence in organizations: Local interaction and the emergence of global pattern. New York: Routledge, 2005.

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42

Loh, Lucy (Management consultant), author, ed. Patterns of strategy. 2017.

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43

Rohde, Markus, and Volker Wulf. Integrated Organization and Technology Development. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198733249.003.0009.

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The domain of work has developed a myriad of social practices that are often shaped by information and communications technology infrastructures. The introduction of additional IT artifacts, of course, affects these practices and the related patterns of communication. While management and IT specialists plan for certain effects of a system’s introduction, unintended use of the system can play a central role. Therefore, the unanticipated appropriation of IT artifacts by their users is an important phenomenon. Given the existence of IT-related organizational change and adjustments related to the appropriation of software, the development of IT in organizations faces an iterative challenge. The “integrated organization and technology development” (OTD) approach deals with these interdependencies in projects of sociotechnical change.
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44

Zucker, Lynne G. Institutional Patterns and Organizations: Culture and Environment. Ballinger Pub Co, 1988.

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45

G, Zucker Lynne, ed. Institutional patterns and organizations: Culture and environment. Cambridge, Mass: Ballinger Pub. Co., 1988.

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46

Blunt, MO, A. Stannard, E. Pauliac-Vaujour, CP Martin, Ioan Vancea, Milovan Suvakov, Uwe Thiele, Bosiljka Tadic, and P. Moriarty. Patterns and pathways in nanoparticle self-organization. Edited by A. V. Narlikar and Y. Y. Fu. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199533046.013.8.

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This article reviews relatively recent forms of self-assembly and self-organization that have demonstrated particular potential for the assembly of nanostructured matter, namely biorecognition and solvent-mediated dynamics. It first considers the key features of self-assembled and self-organized nanoparticle arrays, focusing on the self-assembly of nanoparticle superlattices, the use of biorecognition for nanoparticle assembly, and self-organizing nanoparticles. It then describes the mechanisms and pathways for charge transport in nanoparticle assemblies, with particular emphasis on the relationship between the current–voltage characteristics and the topology of the lattice. It also discusses single-electron conduction in nanoparticle films as well as pattern formation and self-organization in dewetting nanofluids.
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47

Robinson, Rick, Alexandre Polozoff, Andrew Sweet, and Kulvir Singh Bhogal. Data Interrupted: Organizational, Operational, and Business Process Anti-Patterns. Pearson Education, Limited, 2025.

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48

A, Buckland John, ed. Rightsizing for profitability and quality: The new organizational patterns. Carrollton, Tex: Chantico Pub. Co., 1990.

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49

Smart, Jon. Sooner, Safer, Happier: Patterns and Antipatterns for Organizational Agility. IT Revolution Press, 2020.

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50

Wilson, Stuart P. Self-organization. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0005.

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Self-organization describes a dynamic in a system whereby local interactions between individuals collectively yield global order, i.e. spatial patterns unobservable in their entirety to the individuals. By this working definition, self-organization is intimately related to chaos, i.e. global order in the dynamics of deterministic systems that are locally unpredictable. A useful distinction is that a small perturbation to a chaotic system causes a large deviation in its trajectory, i.e. the butterfly effect, whereas self-organizing patterns are robust to noise and perturbation. For many, self-organization is as important to the understanding of biological processes as natural selection. For some, self-organization explains where the complex forms that compete for survival in the natural world originate from. This chapter outlines some fundamental ideas from the study of simulated self-organizing systems, before suggesting how self-organizing principles could be applied through biohybrid societies to establish new theories of living systems.
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