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It’s about time: Divergent evaluations of restrictive policies in the near and distant future

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  • Nakashima, Nathaniel A.
  • Daniels, David P.
  • Laurin, Kristin

Abstract

When should leaders announce policies that create net benefits for organizations, but also restrict individual member choices? We find that restrictive policies engender more support from stakeholders when they are to be implemented in the distant versus near future (Studies 1 and 2). We find similar results when manipulating construal level instead of temporal distance (Study 3). The effect of temporal distance on attitudes toward a policy is mediated by people’s attention to different aspects of the policy (desirability vs. feasibility, pros vs. cons, self vs. other) (Study 4). Furthermore, temporal distance enhances support for policies that are high, but not low, in desirability for the collective (Study 5). The evidence is consistent with Construal Level Theory; we also consider Rational Choice Theory as an alternative perspective. Our findings suggest that leaders who wish to maximize member support for restrictive policies should consider announcing them well in advance of their implementation date.

Suggested Citation

  • Nakashima, Nathaniel A. & Daniels, David P. & Laurin, Kristin, 2017. "It’s about time: Divergent evaluations of restrictive policies in the near and distant future," Organizational Behavior and Human Decision Processes, Elsevier, vol. 142(C), pages 12-27.
  • Handle: RePEc:eee:jobhdp:v:142:y:2017:i:c:p:12-27
    DOI: 10.1016/j.obhdp.2017.07.005
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    References listed on IDEAS

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    8. Laurin, Kristin & Kay, Aaron C. & Proudfoot, Devon & Fitzsimons, Gavan J., 2013. "Response to restrictive policies: Reconciling system justification and psychological reactance," Organizational Behavior and Human Decision Processes, Elsevier, vol. 122(2), pages 152-162.
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    Cited by:

    1. Daniels, David P. & Zlatev, Julian J., 2019. "Choice architects reveal a bias toward positivity and certainty," Organizational Behavior and Human Decision Processes, Elsevier, vol. 151(C), pages 132-149.

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