The role of cognitive load in effective strategic issue management

Item Type Forthcoming
Abstract

Firms have different ways of addressing issues emerging from outside their regular calendar-driven strategy processes. These practices tend to be unstructured, organization specific, and highly dependent on the characteristics of the strategic issues themselves. Building on three dimensions of cognitive load—intrinsic, germane, and extraneous cognitive load—we extend existing research on strategic issue management by showing how different team-level choices in strategic issue processing and organizational congestion interact in their effects on a firm's strategic issue management performance. Based on an in-depth analysis of all 92 strategic issue decisions in a large multinational firm during a three-year period, we find that organizational disturbances influence strategic issue initiation by top management, which in turn influences the quality of strategic issue management practices and subsequent performance outcomes. We conclude by providing recommendations for managers on how they can decrease the sensitivity of their companies' strategic issue systems to external disturbances.

Authors Laamanen, Tomi; Maula, Markku; Kajanto, Markus & Kunnas, Peter
Journal or Publication Title Long Range Planning
Language English
Keywords Corporate strategy process, Strategic issue management, Decision quality
Subjects business studies
social sciences
HSG Classification contribution to scientific community
HSG Profile Area None
Refereed Yes
Date 2018
Publisher Elsevier
Volume Forthcoming
ISSN 0024-6301
Publisher DOI https://doi.org/10.1016/j.lrp.2017.03.001
Official URL https://www.sciencedirect.com/science/article/pii/...
Depositing User Prof. Dr. Tomi Laamanen
Date Deposited 27 Feb 2018 15:24
Last Modified 02 Jul 2019 12:01
URI: https://www.alexandria.unisg.ch/publications/253779

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Citation

Laamanen, Tomi; Maula, Markku; Kajanto, Markus & Kunnas, Peter (2018) The role of cognitive load in effective strategic issue management. Long Range Planning, Forthcoming ISSN 0024-6301

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https://www.alexandria.unisg.ch/id/eprint/253779
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