ARTIFICIAL INTELLIGENCE IN PUBLIC RELATIONS AND EFFECTS ON ACCOMMODATION ESTABLISHMENTS’ MANAGEMENT PERFORMANCE

The study focused on the application of artificial intelligence (AI) in public relations and effect on accommodation establishments‘ services and management performance. This is motivated by the fact that accommodation establishments in Nigeria face several public relations challenges, including service automation, brand and reputation management, crisis communication, prompt handling of customer complaints, and competitive positioning. The specific objectives were to: evaluate the influence of AI service automation tools, sentiment analysis tool, chatbot visual assistant tool, and algorithm as public relations‘ tools for enhanced accommodation establishments‘ services and corporate performance. The Survey research design was adopted in this study. The simple random sampling technique and purposive sampling technique was used in the data collection. The data obtained for the study were analyzed with the Multiple Linear Regression with the aid of statistical package for social science (SPSS) version 21. Results obtained reveal that the application of AI automation tools, sentiment analysis, chatbot visual assistants, and algorithm as public relations tool did not significantly enhance accommodation establishments‘ services and management performance.

Authors

Institutions

Publication Details

Journal
Journal of Digital Marketing and Communication
Published
2024-11-14
DOI
https://doi.org/10.64415/jdmcvolume2no1.v2i1.13
Primary Topic
Public Relations and Crisis Communication
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ARTIFICIAL INTELLIGENCE IN PUBLIC RELATIONS AND EFFECTS ON ACCOMMODATION ESTABLISHMENTS’ MANAGEMENT PERFORMANCE

Joy Eleje, Ben E. Odigbo, Oliver Uzonna Ngwoke, Ifeanyichukwu Uzochukwu Silba et al.
Journal of Digital Marketing and Communication
Public Relations and Crisis Communication
article

ARTIFICIAL INTELLIGENCE IN PUBLIC RELATIONS AND EFFECTS ON ACCOMMODATION ESTABLISHMENTS’ MANAGEMENT PERFORMANCE

Joy Eleje, Ben E. Odigbo, Oliver Uzonna Ngwoke, Ifeanyichukwu Uzochukwu Silba, Rankin Ndipmong, Rowland Itayi Ogar Dimkpa
article en

Abstract

The study focused on the application of artificial intelligence (AI) in public relations and effect on accommodation establishments‘ services and management performance. This is motivated by the fact that accommodation establishments in Nigeria face several public relations challenges, including service automation, brand and reputation management, crisis communication, prompt handling of customer complaints, and competitive positioning. The specific objectives were to: evaluate the influence of AI service automation tools, sentiment analysis tool, chatbot visual assistant tool, and algorithm as public relations‘ tools for enhanced accommodation establishments‘ services and corporate performance. The Survey research design was adopted in this study. The simple random sampling technique and purposive sampling technique was used in the data collection. The data obtained for the study were analyzed with the Multiple Linear Regression with the aid of statistical package for social science (SPSS) version 21. Results obtained reveal that the application of AI automation tools, sentiment analysis, chatbot visual assistants, and algorithm as public relations tool did not significantly enhance accommodation establishments‘ services and management performance.

Journal of Digital Marketing and CommunicationVol. 2(1)
University of Calabar (NG)
Openalex Percentile: Top 60%
Public Relations and Crisis Communication
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.