Skip to main content
Log in

Environmental turbulence, density, and learning strategies: when does organizational adaptation matter?

  • Manuscript
  • Published:
Computational and Mathematical Organization Theory Aims and scope Submit manuscript

Abstract

There has been increasing interest in the interaction effect between organizational learning strategies and environmental characteristics on organizational performance. However, the interaction effect as well as the effect of competition among learning strategies has rarely been investigated comprehensively through a computational model. The purpose of this paper is to develop theoretical propositions that incorporate both the organizational learning perspective and the population ecology perspective with regard to whether the effect of organizational learning strategies is contingent on different environmental conditions under which they compete with one another. In the simulation model, we considered four competing learning strategies: pure exploitation, pure exploration, and structural and temporal ambidexterity. We also considered two environmental characteristics: population density and turbulence, where turbulence was defined in two ways. Based on the simulation results, we developed five propositions. The discussion suggests that different learning strategies may be related to different within-group variance of performance, indicating the importance of considering organizational performance at both organization and population level. Also, environmental turbulence that affects the efficacy of exploitative adaptation and the shape of a niche may have different consequences on competing organizations. We concluded by discussing the limitations of this study and future research.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. Designing a fully adaptive organization might be another interesting research topic, but it is beyond the scope of this study.

  2. Exchange of two dimensions means 1/6 of an organization’s occupied dimensions are exchanged in each iteration. It is not clear from the empirical literature what portion of organizational structure is dedicated to exploration. So, the parameter was set simply to distinguish this strategy from pure exploration or temporal ambidexterity.

  3. There is no information on how frequently organizations change revolutionarily. The probability of 0.05 was set to allow any potential variance within organizations with this strategy to be detected. Too low a probability would not allow it.

  4. A caveat is that this model suggests an extreme case of revolutionary and blind exploration: in the real world, organizations may not incur this level of revolutionary change and may be more intelligent and strategic, although the effect of strategic change is often in question (Amburgey et al. 1993; Hannan and Freeman 1984; Henderson and Clark 1990; Mezias and Lant 1994).

References

  • Aldrich HE, Ruef M (2006) Organizations evolving, 2nd edn. Sage Publications, Thousand Oaks

    Google Scholar 

  • Amburgey TL, Kelly D, Barnett WP (1993) Resetting the clock: the dynamics of organizational change and failure. Adm Sci Q 38:51–73

    Article  Google Scholar 

  • Andriopoulos C, Lewis MW (2009) Exploitation-exploration tensions and organizational ambidexterity: managing paradoxes of innovation. Organ Sci 20:696–717

    Article  Google Scholar 

  • Barnett WP (1990) The organizational ecology of a technological system. Adm Sci Q 35:31–60

    Article  Google Scholar 

  • Barnett WP, Carroll GR (1995) Modeling internal organizational change. Annu Rev Sociol 21:217–236

    Article  Google Scholar 

  • Benner MJ, Tushman ML (2002) Process management and technological innovation: a longitudinal study of the photography and paint industries. Adm Sci Q 47:676–709

    Article  Google Scholar 

  • Benner MJ, Tushman ML (2003) Exploitation, exploration, and process management: the productivity dilemma revisited. Acad Manag Rev 28:238–256

    Google Scholar 

  • Burgelman RA (1991) Intraorganizational ecology of strategy making and organizational adaptation: theory and field research. Organ Sci 2:239–262

    Article  Google Scholar 

  • Burgelman RA (2002) Strategy as vector and the inertia of coevolutionary lock-in. Adm Sci Q 47:325–357

    Article  Google Scholar 

  • Carroll GR (1985) Concentration and specialization: dynamics of niche width in populations of organizations. Am J Sociol 90:1262–1283

    Article  Google Scholar 

  • Carroll GR, Hannan MT (2000) The demography of corporations and industries. Princeton University Press, Princeton

    Google Scholar 

  • Gersick CJG (1991) Revolutionary change theories: a multilevel exploration of the punctuated equilibrium paradigm. Acad Manag Rev 16:10–36

    Google Scholar 

  • Gupta AK, Smith K, Shalley CE (2006) The interplay between exploration and exploitation. Acad Manag J 49:693–706

    Article  Google Scholar 

  • Hannan MT, Freeman J (1977) The population ecology of organizations. Am J Sociol 82:929–964

    Article  Google Scholar 

  • Hannan MT, Freeman J (1984) Structural inertia and organizational change. Am Sociol Rev 49:149–164

    Article  Google Scholar 

  • Harrison JR, Lin Z, Carroll GR, Carley KM (2007) Simulation modeling in organizational and management research. Acad Manag Rev 32:1229–1245

    Article  Google Scholar 

  • He ZL, Wong PK (2004) Exploration vs. exploitation: an empirical test of the ambidexterity hypothesis. Organ Sci 15:481–494

    Article  Google Scholar 

  • Henderson RM, Clark KB (1990) Architectural innovation: the reconfiguration of existing product technologies and the failure of established firms. Adm Sci Q 35:9–30

    Article  Google Scholar 

  • Holmqvist M (2004) Experiential learning processes of exploitation and exploration within and between organizations: an empirical study of product development. Organ Sci 15:70–81

    Article  Google Scholar 

  • Jansen JJP, Van den Bosch FAJ, Volberda HW (2006) Exploratory innovation, exploitative innovation, and performance: effects of organizational antecedents and environmental moderators. Manag Sci 52:1661–1674

    Article  Google Scholar 

  • Katila R, Ahuja G (2002) Something old, something new: a longitudinal study of search behavior and new product introduction. Acad Manag J 45:1183–1194

    Article  Google Scholar 

  • Knott AM (2002) Exploration and exploitation as complements. In: Choo CW, Bontis N (eds) The strategic management of intellectual capital and organizational knowledge. Oxford University Press, Oxford, pp 339–358

    Google Scholar 

  • Lant TK, Mezias SJ (1992) An organizational learning model of convergence and reorientation. Organ Sci 3:47–71

    Article  Google Scholar 

  • Lavie D, Rosenkopf L (2006) Balancing exploration and exploitation in alliance formation. Acad Manag J 49:797–818

    Article  Google Scholar 

  • Lavie D, Stettner U, Tushman ML (2010) Exploration and exploitation within and across organizations. Acad Manag Ann 4:109–155

    Article  Google Scholar 

  • Lee GK, Cole R (2003) From a firm-based to a community-based model of knowledge creation: the case of the Linux kernel development. Organ Sci 14:633–649

    Article  Google Scholar 

  • Levinthal DA (1997) Adaptation on rugged landscapes. Manag Sci 43:934–950

    Article  MATH  Google Scholar 

  • Levinthal DA, March JG (1993) The myopia of learning. Strateg Manag J 14:95–112

    Article  Google Scholar 

  • Levinthal DA, Posen HE (2007) Myopia of selection: does organizational adaptation limit the efficacy of population selection? Adm Sci Q 52:586–620

    Article  Google Scholar 

  • Levinthal DA, Warglien M (1999) Landscape design: designing for local action in complex worlds. Organ Sci 10:342–357

    Article  Google Scholar 

  • Levitt B, March JG (1988) Organizational learning. Annu Rev Sociol 14:319–340

    Article  Google Scholar 

  • Lin Z, Yang H, Demirkan I (2007) The performance consequences of ambidexterity in strategic alliance formations: empirical investigation and computational theorizing. Manag Sci 53:1645–1658

    Article  Google Scholar 

  • March JG (1991) Exploration and exploitation in organizational learning. Organ Sci 2:71–87

    Article  ADS  Google Scholar 

  • March JG (1994) The evolution of evolution. In: Baum JAC, Singh JV (eds) Evolutionary dynamics of organizations. Oxford University Press, NY, pp 39–49

    Google Scholar 

  • Mezias SJ, Lant TK (1994) Mimetic learning and the evolution of organizational populations. In: Baum JAC, Singh JV (eds) Evolutionary dynamics of organizations. Oxford University Press, Oxford, pp 179–198

    Google Scholar 

  • Nelson RR, Winter SG (1982) An evolutionary theory of economic change. Harvard University Press, Cambridge

    Google Scholar 

  • Posen HE, Levinthal DA (2012) Chasing a moving target: exploitation and exploration in dynamic environments. Manag Sci 58:587–601

    Article  Google Scholar 

  • Rivkin JW, Siggelkow N (2003) Balancing search and stability: interdependencies among elements of organizational design. Manag Sci 49:290–311

    Article  Google Scholar 

  • Romanelli E (1999) Blind (but not unconditioned) variation. In: Baum JAC, McKelvey B (eds) Variations in organization science: in honor of Donald T. Campbell. Sage Publications, Thousand Oaks, pp 79–91

    Chapter  Google Scholar 

  • Ruef M, Scott WR (1998) A multidimensional model of organizational legitimacy: hospital survival in changing institutional environments. Adm Sci Q 43:877–879

    Article  Google Scholar 

  • Tushman ML, Romanelli E (1985) Organizational evolution: A metamorphosis model of convergence and reorientation. In: Staw B, Cummings L (eds) Research in organizational behavior, vol 7. JAI Press, Greenwich, pp 171–222

    Google Scholar 

  • Voss GB, Sirdeshmukh D, Voss ZG (2008) The effects of slack resources and environmental threat on product exploration and exploitation. Acad Manag J 51:147–164

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Taehyon Choi.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Choi, T. Environmental turbulence, density, and learning strategies: when does organizational adaptation matter?. Comput Math Organ Theory 21, 437–460 (2015). https://doi.org/10.1007/s10588-015-9192-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10588-015-9192-y

Keywords

Navigation