Advancing reputation measurement: evolving toward improved quantitative assessments

Advancing reputation measurement: evolving toward improved quantitative assessments PurposeThe purpose of this paper is to provide evidence on the information-gathering deficits in contemporary reputation measurement that are rooted in sampling and to obtain supporting information from respondents from various stakeholder groups.Design/methodology/approachIn regard to social emergence theory, the authors examine the common practice of aggregating reputational judgments from randomly sampled respondents without considering their knowledge domains. A stereotyping experiment conducted in three countries provides evidence that lower-level reputations might vary, whereas higher-level reputations resulting from the social emergence process do not vary.FindingsThe findings demonstrate that researchers should consider respondents’ heterogeneity in regard to reputation measurement. Stakeholder judgments divergent from their domains of expertise often add noise, instead of informative answers, to the reputational categories.Research limitations/implicationsThe social emergence process, in addition to the roles of the stakeholders, their interaction structures and the timing of their communication, needs to be incorporated into an improved reputation measurement method.Practical implicationsNot all information from the same respondent should be considered when computing a final reputation score. Respondents’ heterogeneity is revealed to be fundamental for reputational assessments.Originality/valueThis study is original in its examination of the validity of reputation assessment being restricted to lower-level descriptions of the supervenience relation. Building upon the results of the experiment conducted in three national framings, this paper suggests ways to improve reputation measurement. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Marketing Intelligence & Planning Emerald Publishing

Advancing reputation measurement: evolving toward improved quantitative assessments

Marketing Intelligence & Planning, Volume 38 (2): 14 – Jul 24, 2019

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Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
0263-4503
DOI
10.1108/MIP-10-2018-0448
Publisher site
See Article on Publisher Site

Abstract

PurposeThe purpose of this paper is to provide evidence on the information-gathering deficits in contemporary reputation measurement that are rooted in sampling and to obtain supporting information from respondents from various stakeholder groups.Design/methodology/approachIn regard to social emergence theory, the authors examine the common practice of aggregating reputational judgments from randomly sampled respondents without considering their knowledge domains. A stereotyping experiment conducted in three countries provides evidence that lower-level reputations might vary, whereas higher-level reputations resulting from the social emergence process do not vary.FindingsThe findings demonstrate that researchers should consider respondents’ heterogeneity in regard to reputation measurement. Stakeholder judgments divergent from their domains of expertise often add noise, instead of informative answers, to the reputational categories.Research limitations/implicationsThe social emergence process, in addition to the roles of the stakeholders, their interaction structures and the timing of their communication, needs to be incorporated into an improved reputation measurement method.Practical implicationsNot all information from the same respondent should be considered when computing a final reputation score. Respondents’ heterogeneity is revealed to be fundamental for reputational assessments.Originality/valueThis study is original in its examination of the validity of reputation assessment being restricted to lower-level descriptions of the supervenience relation. Building upon the results of the experiment conducted in three national framings, this paper suggests ways to improve reputation measurement.

Journal

Marketing Intelligence & PlanningEmerald Publishing

Published: Jul 24, 2019

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