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Marketing Performance Measurement Systems: Does Comprehensiveness Really Improve Performance?:

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In this paper, the authors use dyadic field data from marketing managers and management accounting executives and extend prior work by developing and testing a more complex, contingency-based model, which shows that the relationship of comprehensiveness in a marketing performance measurement system to firm performance is conditional.
Abstract
Comprehensive performance measurement systems such as the balanced scorecard have received considerable attention in marketing. However, whether and under which circumstances comprehensiveness as a performance measurement system property is desirable and contributes to firm performance is still a subject of debate in research and practice. To address this issue, the authors use dyadic field data from marketing managers and management accounting executives and extend prior work by developing and testing a more complex, contingency-based model. The empirical results confirm the developed framework. In particular, the results show that the relationship of comprehensiveness in a marketing performance measurement system to firm performance is conditional. Marketing alignment and market-based knowledge mediate this relationship, depending on marketing strategy, marketing complexity, and market dynamism. These insights explain mixed findings of previous research and provide important implications for re...

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Citations
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Measuring Organizational Performance: A Case for Subjective Measures

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References
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Journal ArticleDOI

Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
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Common method biases in behavioral research: a critical review of the literature and recommended remedies.

TL;DR: The extent to which method biases influence behavioral research results is examined, potential sources of method biases are identified, the cognitive processes through which method bias influence responses to measures are discussed, the many different procedural and statistical techniques that can be used to control method biases is evaluated, and recommendations for how to select appropriate procedural and Statistical remedies are provided.
Journal ArticleDOI

Structural equation modeling in practice: a review and recommended two-step approach

TL;DR: In this paper, the authors provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development, and present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests.
Journal ArticleDOI

A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity

Halbert White
- 01 May 1980 - 
TL;DR: In this article, a parameter covariance matrix estimator which is consistent even when the disturbances of a linear regression model are heteroskedastic is presented, which does not depend on a formal model of the structure of the heteroSkewedness.
Book

The balanced scorecard : measures that drive performance

TL;DR: A "balanced scorecard" is developed, a new performance measurement system that gives top managers a fast but comprehensive view of the business and complements those financial measures with three sets of operational measures having to do with customer satisfaction, internal processes, and the organization's ability to learn and improve.
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Marketing Performance Measurement Systems: Does Comprehensiveness Really Improve Performance?

The study found that the relationship between comprehensiveness in a marketing performance measurement system and firm performance is conditional, depending on marketing strategy, complexity, and market dynamism.