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The Past, Present, and Future of Internal Communication in Public Relations: A Computational Review of the Emerging Literature

Cen April Yue et al.

Journal of Public Relations Research2024https://doi.org/10.1080/1062726x.2024.2329543review
ABDC B
Weight
0.77

What the paper says

Utilizing a full-text 15,926,460-word database of all peer-reviewed articles published in six public relations journals between 2012 and 2022 (N = 2,675), we employ a variety of computational methods to investigate the past, present, and future of internal communication in public relations. We first situate internal communication studies in the wider public relations literature, document its growth, identify a set of "internal-communication papers" (N = 407), and conduct a comprehensive bibliometric analysis. Next, we investigate the theoretical, empirical, and epistemological origins of internal communication by analyzing all identified internal communication papers' reference lists and providing core readings for the research community. Finally, we compare internal communication papers with non-internal-communication counterparts, quantify literature gaps, and illuminate promising research directions to guide the future of internal communication studies.

19 citations

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https://doi.org/https://doi.org/10.1080/1062726x.2024.2329543

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@article{cen2024,
  title        = {{The Past, Present, and Future of Internal Communication in Public Relations: A Computational Review of the Emerging Literature}},
  author       = {Cen April Yue et al.},
  journal      = {Journal of Public Relations Research},
  year         = {2024},
  doi          = {https://doi.org/https://doi.org/10.1080/1062726x.2024.2329543},
}

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The Past, Present, and Future of Internal Communication in Public Relations: A Computational Review of the Emerging Literature

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Evidence weight

0.77

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact1.00 × 0.4 = 0.40
M · momentum0.97 × 0.15 = 0.15
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.