TY - JOUR

T1 - Archival or perceived measures of environmental uncertainty?

T2 - Conceptualization and new empirical evidence

AU - Lueg, Rainer

AU - Borisov, Boris Genadiev

PY - 2014/8

Y1 - 2014/8

N2 - Environmental uncertainty is a major determinant in many managerial decisions and evaluations. Yet, there is no consensus what constitutes a valid measure of uncertainty to which executives can respond. This paper explicates conceptual and methodological differences between Archival Environmental Uncertainty (AEU) and Perceived Environmental Uncertainty (PEU).Conceptually, we discuss the controversial development of these measures in the literature. We propose a framework showing that AEU and PEU differ due to the specificity of the decision unit, the predictability of volatility, and the use of leading indicators. Empirically, we are the first to investigate the statistical association between prevailing measures of AEU and PEU. Our analysis combines archival data on AEU (annual reports) with survey data on PEU from top executives of the 110 largest listed German companies (55% response). As predicted, AEU and PEU correlate moderately on a significant level (r= 0.257 to 0.374). Also, AEU indicators (mainly volatility in sales and earnings) explain over 26% of the PEU measure. Yet, adjustment of the AEU measure for predictable volatility does not improve its relationship to PEU. Overall, our findings imply that AEU and PEU are not perfect substitutes, but valid proxies for each other if the relevant limitations are considered.

AB - Environmental uncertainty is a major determinant in many managerial decisions and evaluations. Yet, there is no consensus what constitutes a valid measure of uncertainty to which executives can respond. This paper explicates conceptual and methodological differences between Archival Environmental Uncertainty (AEU) and Perceived Environmental Uncertainty (PEU).Conceptually, we discuss the controversial development of these measures in the literature. We propose a framework showing that AEU and PEU differ due to the specificity of the decision unit, the predictability of volatility, and the use of leading indicators. Empirically, we are the first to investigate the statistical association between prevailing measures of AEU and PEU. Our analysis combines archival data on AEU (annual reports) with survey data on PEU from top executives of the 110 largest listed German companies (55% response). As predicted, AEU and PEU correlate moderately on a significant level (r= 0.257 to 0.374). Also, AEU indicators (mainly volatility in sales and earnings) explain over 26% of the PEU measure. Yet, adjustment of the AEU measure for predictable volatility does not improve its relationship to PEU. Overall, our findings imply that AEU and PEU are not perfect substitutes, but valid proxies for each other if the relevant limitations are considered.

KW - Archival

KW - Correlation

KW - Decision making

KW - Environmental uncertainty

KW - Learning

KW - Methodology

KW - Objective

KW - Perceived

KW - Management studies

UR - http://www.scopus.com/inward/record.url?scp=84901853312&partnerID=8YFLogxK

U2 - 10.1016/j.emj.2013.11.004

DO - 10.1016/j.emj.2013.11.004

M3 - Journal articles

AN - SCOPUS:84901853312

VL - 32

SP - 658

EP - 671

JO - European Management Journal

JF - European Management Journal

SN - 0263-2373

IS - 4

ER -