Artificial Intelligence in Operational Communication: Analysis of AI Use in Organizational Communication Systems

Authors

  • Gulda Patria Fakultas Ilmu Komputer, Universitas Borobudur Author

DOI:

https://doi.org/10.62872/qesz5197

Keywords:

artificial intelligence, generative AI, operational communication, organizational communication systems, AI adoption

Abstract

The proliferation of artificial intelligence (AI) technologies has fundamentally reshaped organizational communication systems, offering new possibilities for automating, augmenting, and optimizing information flows across all levels of organizational operation. This study analyzes the use of AI in organizational communication systems, with a focus on identifying the dimensions, applications, challenges, and strategic implications of AI integration in operational communication. Drawing on a systematic review of peer-reviewed literature published between 2021 and 2024, the study synthesizes findings from multidisciplinary fields including organizational behavior, information systems, operations management, and communication studies. The results indicate that AI applications in organizational communication span a broad spectrum, from natural language processing and intelligent decision-support systems to generative AI tools and predictive analytics. Key enabling factors include leadership commitment, organizational readiness, AI competency development, and trust formation. Critical challenges involve ethical concerns, algorithmic bias, data privacy, and workforce adaptation. The study proposes an Integrated AI Communication (IAC) Framework that maps the relationships between AI capabilities, communication processes, and organizational outcomes. Findings contribute both theoretical insights and practical guidelines for organizations seeking to harness AI for enhanced operational communication.

Downloads

Download data is not yet available.

References

Al-Surmi, A., Bashiri, M., & Koliousis, I. (2021). AI based decision making: Combining strategies to improve operational performance. International Journal of Production Research, 60, 4464–4486. https://doi.org/10.1080/00207543.2021.1966540

Ashta, A., & Herrmann, H. (2021). Artificial intelligence and fintech: An overview of opportunities and risks for banking, investments, and microfinance. Strategic Change. https://doi.org/10.1002/jsc.2404

Bankins, S., Ocampo, A., Marrone, M., Restubog, S., & Woo, S. E. (2023). A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice. Journal of Organizational Behavior. https://doi.org/10.1002/job.2735

Benbya, H., Pachidi, S., & Jarvenpaa, S. (2021). Special issue editorial: Artificial intelligence in organizations: Implications for information systems research. Journal of the Association for Information Systems, 22(10). https://doi.org/10.17705/1jais.00662

Cao, G., Duan, Y., Edwards, J., & Dwivedi, Y. (2021). Understanding managers' attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making. Technovation. https://doi.org/10.1016/j.technovation.2021.102312

Enholm, I. M., Papagiannidis, E., Mikalef, P., & Krogstie, J. (2021). Artificial intelligence and business value: A literature review. Information Systems Frontiers, 24, 1709–1734. https://doi.org/10.1007/s10796-021-10186-w

Getchell, K., Carradini, S., Cardon, P., Fleischmann, C., Haibing, Aritz, J., & Stapp, J. (2022). Artificial intelligence in business communication: The changing landscape of research and teaching. Business and Professional Communication Quarterly, 85, 7–33. https://doi.org/10.1177/23294906221074311

Hasija, A., & Esper, T. (2022). In artificial intelligence (AI) we trust: A qualitative investigation of AI technology acceptance. Journal of Business Logistics. https://doi.org/10.1111/jbl.12301

Hohenstein, J., DiFranzo, D., Kizilcec, R., Aghajari, Z., Mieczkowski, H., Levy, K., Naaman, M., Hancock, J., & Jung, M. (2021). Artificial intelligence in communication impacts language and social relationships. Scientific Reports, 13. https://doi.org/10.1038/s41598-023-30938-9

Jackson, I., Ivanov, D., Dolgui, A., & Namdar, J. (2024). Generative artificial intelligence in supply chain and operations management: A capability-based framework for analysis and implementation. International Journal of Production Research, 62, 6120–6145. https://doi.org/10.1080/00207543.2024.2309309

Mikalef, P., Islam, N., Parida, V., Singh, H., & Altwaijry, N. (2023). Artificial intelligence (AI) competencies for organizational performance: A B2B marketing capabilities perspective. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2023.113998

Na, S., Heo, S., Han, S., Shin, Y., & Roh, Y. (2022). Acceptance model of artificial intelligence (AI)-based technologies in construction firms: Applying the Technology Acceptance Model (TAM) in combination with the Technology–Organisation–Environment (TOE) framework. Buildings. https://doi.org/10.3390/buildings12020090

Neumann, O., Guirguis, K., & Steiner, R. (2022). Exploring artificial intelligence adoption in public organizations: A comparative case study. Public Management Review, 26, 114–141. https://doi.org/10.1080/14719037.2022.2048685

Olan, F., Arakpogun, E. O., Suklan, J., Nakpodia, F., Damij, N., & Jayawickrama, U. (2022). Artificial intelligence and knowledge sharing: Contributing factors to organizational performance. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2022.03.008

Ooi, K., Tan, G., Al-Emran, M., Al-Sharafi, M., Căpățînă, A., Chakraborty, A., ... & Wong, L.-W. (2023). The potential of generative artificial intelligence across disciplines: Perspectives and future directions. Journal of Computer Information Systems, 65, 76–107. https://doi.org/10.1080/08874417.2023.2261010

Shafiabady, N., Hadjinicolaou, N., Din, F., Bhandari, B., Wu, R., & Vakilian, J. (2023). Using artificial intelligence (AI) to predict organizational agility. PLOS ONE, 18. https://doi.org/10.1371/journal.pone.0283066

Spring, M., Faulconbridge, J., & Sarwar, A. (2022). How information technology automates and augments processes: Insights from artificial-intelligence-based systems in professional service operations. Journal of Operations Management. https://doi.org/10.1002/joom.1215

Vaccaro, M., Almaatouq, A., & Malone, T. (2024). When combinations of humans and AI are useful: A systematic review and meta-analysis. Nature Human Behaviour, 8, 2293–2303. https://doi.org/10.1038/s41562-024-02024-1

Varriale, V., Cammarano, A., Michelino, F., & Caputo, M. (2023). Critical analysis of the impact of artificial intelligence integration with cutting-edge technologies for production systems. Journal of Intelligent Manufacturing, 36, 61–93. https://doi.org/10.1007/s10845-023-02244-8

Wamba, S., Guthrie, C., Queiroz, M., & Minner, S. (2023). ChatGPT and generative artificial intelligence: An exploratory study of key benefits and challenges in operations and supply chain management. International Journal of Production Research, 62, 5676–5696. https://doi.org/10.1080/00207543.2023.2294116

Downloads

Published

2026-05-31

How to Cite

Artificial Intelligence in Operational Communication: Analysis of AI Use in Organizational Communication Systems. (2026). Journal of Dialogos, 3(2), 1-12. https://doi.org/10.62872/qesz5197