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Three Types of Perceived Uncertainty about the Environment: State, Effect, and Response Uncertainty
Abstract
The research literature on environmental uncertainty is briefly reviewed to illustrate problems and inconsistencies in conceptualizing and measuring the construct. Three types of perceived uncertainty about the environment are described and their implications for the behavior of an organization's administrators are discussed. The failure to differentiate between these types may explain some of the confusion about environmental uncertainty.
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Organizational Strategy, Structure, and Process
Miles, R. E., Snow, C. C., Meyer, A. D., & Coleman, H. J. (1978) · Academy of Management Review · doi:10.5465/amr.1978.4305755 · Cited by 4,527
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McMullen, J. S., & Shepherd, D. A. (2006) · Academy of Management Review · doi:10.5465/amr.2006.19379628 · Cited by 3,103
A contingent resource-based view of proactive corporate environmental strategy
Aragón-Correa, J. A., & Sharma, S. (2003) · Academy of Management Review · doi:10.5465/amr.2003.8925233 · Cited by 2,362
Organizational Response to Adversity: Fusing Crisis Management and Resilience Research Streams
Williams, T. A., Gruber, D. A., Sutcliffe, K. M., Shepherd, D. A., & Zhao, E. Y. (2017) · Academy of Management Annals · doi:10.5465/annals.2015.0134 · Cited by 1,945
Song, M., Droge, C., Hanvanich, S., & Calantone, R. (2005) · Strategic Management Journal · doi:10.1002/smj.450 · Cited by 844
Organisational resilience: development of a conceptual framework for organisational responses
Burnard, K., & Bhamra, R. (2011) · International Journal of Production Research · doi:10.1080/00207543.2011.563827 · Cited by 704
Uncertainty During Organizational Change: Types, Consequences, and Management Strategies
Bordia, P., Hobman, E., Jones, E., Gallois, C., & Callan, V. J. (2004) · Journal of Business and Psychology · doi:10.1023/b:jobu.0000028449.99127.f7 · Cited by 665
Sirmon, D. G., & Hitt, M. A. (2009) · Strategic Management Journal · doi:10.1002/smj.791 · Cited by 589
Petricevic, O., & Teece, D. J. (2019) · Journal of International Business Studies · doi:10.1057/s41267-019-00269-x · Cited by 501
Wijen, F. (2014) · Academy of Management Review · doi:10.5465/amr.2012.0218 · Cited by 459
PROCEDURAL RATIONALITY IN THE STRATEGIC DECISION‐MAKING PROCESS*
Dean, J. W., & Sharfman, M. P. (1993) · Journal of Management Studies · doi:10.1111/j.1467-6486.1993.tb00317.x · Cited by 412
ENVIRONMENTAL DETERMINANTS AND INDIVIDUAL-LEVEL MODERATORS OF ALLIANCE USE.
DICKSON, P. H., & WEAVER, K. M. (1997) · Academy of Management Journal · doi:10.2307/256888 · Cited by 381
Substituting Human Decision-Making with Machine Learning: Implications for Organizational Learning
Balasubramanian, N., Ye, Y., & Xu, M. (2022) · Academy of Management Review · doi:10.5465/amr.2019.0470 · Cited by 377
A Longitudinal Study of Herd Behavior in the Adoption and Continued Use of Technology1
Sun, H. (2013) · MIS Quarterly · doi:10.25300/misq/2013/37.4.02 · Cited by 375
Mishra, A. N., Konana, P., & Barua, A. (2007) · Information Systems Research · doi:10.1287/isre.1070.0115 · Cited by 267
Big data, big decisions: The impact of big data on board level decision-making
Merendino, A., Dibb, S., Meadows, M., Quinn, L., Wilson, D., Simkin, L., & Canhoto, A. (2018) · Journal of Business Research · doi:10.1016/j.jbusres.2018.08.029 · Cited by 239
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Griffin, M. A., & Grote, G. (2020) · Academy of Management Review · doi:10.5465/amr.2018.0271 · Cited by 223
Narayanan, S., Jayaraman, V., Luo, Y., & Swaminathan, J. M. (2011) · Journal of Operations Management · doi:10.1016/j.jom.2010.05.001 · Cited by 202
Charoensukmongkol, P., & Phungsoonthorn, T. (2021) · The Journal of General Psychology · doi:10.1080/00221309.2020.1795613 · Cited by 182
Change fatigue: Development and initial validation of a new measure
Bernerth, J. B., Walker, H. J., & Harris, S. G. (2011) · Work & Stress · doi:10.1080/02678373.2011.634280 · Cited by 183
Regulatory Uncertainty: A Reason to Postpone Investments? Not Necessarily
Hoffmann, V. H., Trautmann, T., & Hamprecht, J. (2009) · Journal of Management Studies · doi:10.1111/j.1467-6486.2009.00866.x · Cited by 169
Chen, X., Huang, Q., Davison, R. M., & Hua, Z. (2015) · International Journal of Electronic Commerce · doi:10.1080/10864415.2016.1087828 · Cited by 156
Wong, C. W. Y., Lai, K.-H., Cheng, T. C. E., & Lun, Y. H. V. (2015) · International Journal of Production Economics · doi:10.1016/j.ijpe.2014.02.019 · Cited by 150
A New Look at Nurse Burnout: The Effects of Environmental Uncertainty and Social Climate
Garrett, D. K., & McDaniel, A. M. (2001) · JONA: The Journal of Nursing Administration · doi:10.1097/00005110-200102000-00009 · Cited by 129
Ramoglou, S. (2021) · Journal of Business Venturing · doi:10.1016/j.jbusvent.2020.106090 · Cited by 106
Uncertainty enhances the preference for narcissistic leaders
Nevicka, B., De Hoogh, A. H. B., Van Vianen, A. E. M., & Ten Velden, F. S. (2013) · European Journal of Social Psychology · doi:10.1002/ejsp.1943 · Cited by 100
Sachan, S., Almaghrabi, F., Yang, J.-B., & Xu, D.-L. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2021.115597 · Cited by 66
Push and pull factors in international franchising
Madanoglu, M., Alon, I., & Shoham, A. (2017) · International Marketing Review · doi:10.1108/imr-03-2015-0037 · Cited by 59
Antecedents and outcome of employee change fatigue and change cynicism
Ouedraogo, N., & Ouakouak, M. L. (2020) · Journal of Organizational Change Management · doi:10.1108/jocm-05-2019-0141 · Cited by 25
Barriers to achieving additionality in carbon offsets: a regulatory risk perspective
Campbell, J., Herremans, I. M., & Kleffner, A. (2018) · Journal of Environmental Planning and Management · doi:10.1080/09640568.2017.1406340 · Cited by 16
A reinforcement sensitivity theory view of seeking behaviors at work: A meta‐analysis
Sherf, E. N., Gilliam, N., & McElroy, T. (2024) · Personnel Psychology · doi:10.1111/peps.12579 · Cited by 15
(2014) · CityU Scholars · Cited by 8
Metadata
- Authors
- Milliken, F. J.
- Venue
- The Academy of Management Review
- Publisher
- Academy of Management
- Published
- 1987-01
- Volume
- 12
- Issue
- 1
- Pages
- 133
- ISSN
- 0363-7425 (ISSN-L)
- OpenAlex
- W2030424346
- Cited by
- 2,639
- References
- 1
- FWCI
- 13.88
- Type
- journal article
- Language
- en
- Open access
- closed
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