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The role of individuals in the information processing perspective

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  • Karynne L. Turner
  • Mona V. Makhija

Abstract

Researchers' primary concern with respect to the information processing perspective has been to understand how structural features influence the organization's ability to draw upon and utilize information for resolving problems, ignoring the primary role of individuals as the information processors within the organization. To shed light on this issue, we employ a quasi‐experimental design to examine the effects of two structural types, organic and mechanistic, on individuals' gathering, interpretation, and synthesis of information and, in turn, their problem‐solving orientation. Holding the external context constant, our evidence shows that individuals do process information differently under the two structural types, which then leads to different comfort levels in dealing with organizational problems. These findings highlight the importance of considering the microfoundations of the information processing perspective. Copyright © 2012 John Wiley & Sons, Ltd.

Suggested Citation

  • Karynne L. Turner & Mona V. Makhija, 2012. "The role of individuals in the information processing perspective," Strategic Management Journal, Wiley Blackwell, vol. 33(6), pages 661-680, June.
    • Handle: RePEc:bla:stratm:v:33:y:2012:i:6:p:661-680
    DOI: 10.1002/smj.1970
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    Cited by:

    1. Haemin Dennis Park & Daniel Tzabbar, 2016. "Venture Capital, CEOs’ Sources of Power, and Innovation Novelty at Different Life Stages of a New Venture," Organization Science, INFORMS, vol. 27(2), pages 336-353, April.
    2. Song Wang & Bowen Dong & Steven X. Si & Junsheng Dou, 2017. "When it rains, it pours: A triple-pathway model of collective turnover based on causal mapping analysis," Asia Pacific Journal of Management, Springer, vol. 34(2), pages 461-486, June.
    3. Kanchanabha, Bhawini & Badir, Yuosre F., 2021. "Top management Team's cognitive diversity and the Firm's ambidextrous innovation capability: The mediating role of ambivalent interpretation," Technology in Society, Elsevier, vol. 64(C).
    4. Stephan Billinger & Kannan Srikanth & Nils Stieglitz & Terry R. Schumacher, 2021. "Exploration and exploitation in complex search tasks: How feedback influences whether and where human agents search," Strategic Management Journal, Wiley Blackwell, vol. 42(2), pages 361-385, February.
    5. Jinliang Chen & Kangkang Yu & Jiaowei Gong, 2022. "Supply chain slack and sustainable development performance: The “fit–adjust” effect of objective and perceived environmental uncertainties," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 29(5), pages 1595-1604, September.
    6. Turner, Karynne L. & Monti, Alberto & Annosi, Maria Carmela, 2021. "Disentangling the effects of organizational controls on innovation," European Management Journal, Elsevier, vol. 39(1), pages 57-69.
    7. Rengarajan, Srinath & Narayanamurthy, Gopalakrishnan & Moser, Roger & Pereira, Vijay, 2022. "Data strategies for global value chains: Hybridization of small and big data in the aftermath of COVID-19," Journal of Business Research, Elsevier, vol. 144(C), pages 776-787.
    8. Yihui (Elina) Tang & Detelina Marinova, 2020. "When less is more: the downside of customer knowledge sharing in new product development teams," Journal of the Academy of Marketing Science, Springer, vol. 48(2), pages 288-307, March.
    9. Frederik Dahlmann & Jens K. Roehrich, 2019. "Sustainable supply chain management and partner engagement to manage climate change information," Business Strategy and the Environment, Wiley Blackwell, vol. 28(8), pages 1632-1647, December.
    10. Zhongfeng Su & Jie Chen & Hai Guo & Donghan Wang, 2022. "Top management team’s participative decision-making, heterogeneity, and management innovation: an information processing perspective," Asia Pacific Journal of Management, Springer, vol. 39(1), pages 149-171, March.
    11. Rengarajan, Srinath & Moser, Roger & Narayanamurthy, Gopalakrishnan, 2021. "Strategy tools in dynamic environments – An expert-panel study," Technological Forecasting and Social Change, Elsevier, vol. 165(C).

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