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Article
Publication date: 7 May 2024

Dmytro Oltarzhevskyi

This study aims to conceptualize, rethink and systematize methods used for measurement and evaluation (M&E) corporate communication.

Abstract

Purpose

This study aims to conceptualize, rethink and systematize methods used for measurement and evaluation (M&E) corporate communication.

Design/methodology/approach

The reflection is based on 462 key English-language books and papers devoted to M&E in the fields of corporate communication and public relations from the 1970th to 2023. Keywords in the titles and abstracts found the necessary materials. A critical analysis of the central concepts, models and methods described in the literature was conducted. As a result, a new model that unifies and structures the M&E toolkit is proposed for discussion.

Findings

Despite the significant contribution to developing a wide range of M&E models, they are still not perfect and universal. In addition, this system of approaches is continuously self-evolving and changing under the influence of digital innovations, so it requires steady rethinking and updating. On the other hand, most previous studies focused on communication management processes, losing focus on communication aspects. This led to the need for an alternative view based on proven theories to fill this gap. The proposed model combines quantitative and qualitative M&E methods for the five main components of corporate communication (communicator, audience, content, channels and result), covering a wide range of tools, from statistical and sociological research to big data analysis and neuro research.

Originality/value

This work contributes to developing the M&E theory of corporate communication, systematizing existing methods and opening new research perspectives. From a practical point of view, companies can use the presented approach for a more accurate and objective internal evaluation of the main components of corporate communication.

Details

Corporate Communications: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1356-3289

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