A note on how NK landscapes work

Journal of Organization Design - Tập 7 - Trang 1-6 - 2018
Felipe A. Csaszar1
1Ross School of Business, University of Michigan, Ann Arbor, USA

Tóm tắt

The NK landscape methodology has been used by much research in strategy and organizations, and the concept of “landscape” has become a popular business idea. Despite such popularity, exactly what NK landscapes are and how they work is typically obscure to all but a small specialist audience. This technical note clarifies the NK landscape methodology by explaining how an NK landscape is computed. This note also discusses ways in which NK landscapes are represented and used in research. The aim of this note is enabling more researchers to engage more deeply with the work that relies on the landscape concept.

Tài liệu tham khảo

Adner R, Csaszar FA, Zemsky PB (2014) Positioning on a multi-attribute landscape. Manag Sci 60(11):2794–2815 Baumann O, Schmidt J, Stieglitz N (2018) Effective search on rugged performance landscapes: a review and outlook. Journal of Management 45(1):285–318 https://doi.org/10.1177/0149206318808594 Csaszar FA, Levinthal DA (2016) Mental representation and the discovery of new strategies. Strateg Manag J 37(10):2031–2049 Csaszar FA, Siggelkow N (2010) How much to copy? Determinants of effective imitation breadth. Organ Sci 21(3):661–676 Durrett L, Limic V (2003) Rigorous results for the NK model. Ann Probab 31(4):1713–1753 Ethiraj SK, Levinthal DA (2004) Bounded rationality and the search for organizational architecture: an evolutionary perspective on the design of organizations and their evolvability. Adm Sci Q 49(3):404–437 Ethiraj SK, Levinthal DA (2009) Hoping for A to Z while rewarding only A: complex organizations and multiple goals. Organ Sci 20(1):4–21 Gavetti G, Helfat CE, Marengo L (2017) Searching, shaping, and the quest for superior performance. Strateg Sci 2(3):194–209 Gavetti G, Levinthal DA, Rivkin JW (2005) Strategy making in novel and complex worlds: the power of analogy. Strateg Manag J 26(8):691–712 Ghemawat P (2010) Strategy and the business landscape, 3rd edn. Prentice Hall, Boston Harary F, Hayes JP, Wu HJ (1988) A survey of the theory of hypercube graphs. Comput Math Appl 15(4):277–289 Kauffman SA (1993) The origins of order: self-organization and selection in evolution. Oxford University Press, New York Kauffman SA, Levin SA (1987) Toward a general theory of adaptive walks on rugged landscapes. J Theor Biol 128:11–45 Lenox MJ, Rockart SF, Lewin AY (2006) Interdependency, competition, and the distribution of firm and industry profits. Manag Sci 52(5):757–772 Levinthal DA (1997) Adaptation on rugged landscapes. Manag Sci 43(7):934–950 Levinthal DA, Warglien M (1999) Landscape design: designing for local action in complex worlds. Organ Sci 10(3):342 Levinthal DA, Workiewicz M (2018) When two bosses are better than one: nearly decomposable systems and organizational adaptation. Organ Sci 29(2):207–224 Li C, Csaszar FA (2018) Government as landscape designer: a behavioral view of industrial policy. University of Michigan Working Paper, Ann Arbor Rivkin JW (2000) Imitation of complex strategies. Manag Sci 46:824–844 Rivkin JW, Siggelkow N (2007) Patterned interactions in complex systems: implications for exploration. Manag Sci 53(7):1068–1085 Siggelkow N, Levinthal DA (2003) Temporarily divide to conquer: centralized, decentralized, and reintegrated organizational approaches to exploration and adaptation. Organ Sci 14(6):650–669 Siggelkow N, Levinthal DA (2005) Escaping real (non-benign) competency traps: linking the dynamics of organizational structure to the dynamics of search. Strateg Organ 3(1):85–115 Siggelkow N, Rivkin JW (2005) Speed and search: designing organizations for turbulence and complexity. Organ Sci 16(2):101–122 Siggelkow N, Rivkin JW (2006) When exploration backfires: unintended consequences of multilevel organizational search. Acad Manag J 49(4):779–795 Simon HA (1990) Invariants of human behavior. Annu Rev Psychol 41:1–19 Sommer SC, Loch CH (2004) Selectionism and learning in projects with complexity and unforeseeable uncertainty. Manag Sci 50(10):1334–1347