Corporate Digital Responsibility Framework for Successful AI Implementation in News Media

Authors

  • Arief Adi Wibowo Universitas Pelita Harapan, Indonesia
  • John Tampil Purba Universitas Pelita Harapan, Indonesia

DOI:

https://doi.org/10.37641/jimkes.v14i1.4550

Keywords:

AI Implementation, Digital Ethics, Digital Responsibility, Media Credibility, Media Sustainability, Responsible Innovation

Abstract

This study aims to identify the key components of Corporate Digital Responsibility (CDR) that are most relevant to AI implementation in news media organizations and to examine the relationships between these dimensions and the mediating factors that shape implementation outcomes. A quantitative approach was employed using Partial Least Squares Structural Equation Modeling to test a framework that integrates digital ethics, responsible innovation, and media sustainability with media credibility, operational effectiveness, and business sustainability as mediating variables toward AI implementation success. The findings indicate that CDR dimensions play a significant role in strengthening credibility, improving operational performance, and supporting long-term business sustainability, which collectively contribute to more effective AI implementation. The results highlight that ethical governance, innovation capability, and sustainability orientation not only influence AI adoption directly but also operate through key organizational mechanisms that enhance trust, efficiency, and resilience. These findings imply that news media organizations need to adopt an integrated and balanced approach to digital responsibility in order to ensure that AI integration supports both technological advancement and journalistic values while maintaining long-term organizational viability.

Downloads

Download data is not yet available.

References

Adib, N., Alam, M. D., Nugraha, R.A., Rachman, H.A., & Kusumadewi, A.W. (2025). The impact of corporate social responsibility disclosure on company performance. Jurnal Ilmiah Manajemen Kesatuan, 13(1), 101–108.

Arifin, A. A., & Lennerfors, T. T. (2021). Ethical aspects of voice assistants: a critical discourse analysis of Indonesian media texts. Journal of Information, Communication and Ethics in Society, 20(1), 18–36.

Broussard, M., Diakopoulos, N., Guzman, A. L., Abebe, R., Dupagne, M., & Chuan, C. H. (2019). Artificial intelligence and journalism. Journalism and Mass Communication Quarterly, 96(3), 673–695.

Cetinkaya, N. E., & Krämer, N. (2025). Between transparency and trust: identifying key factors in AI system perception. Behaviour and Information Technology, 9(1), 3001-3014.

Coatney, C. (2023). Representing trust in digital journalism. Media and Communication, 11(4), 252–263.

D’Alonzo, S., Tegmark, M., & Castiello, C. (2022). Machine-learning media bias. Public Library of Science One, 17(8), 271-284.

Diakopoulos, N. (2019). Automating the news: how algorithms are rewriting the media. Cambridge: Harvard University Press.

Diakopoulos, N. (2025). Prospective algorithmic accountability and the role of the news media. In Computer Ethics Across Disciplines: Deborah G. Johnson and Algorithmic Accountability (pp. 125-143). Cham: Springer Nature Switzerland.

Dörr, K. N., & Hollnbuchner, K. (2016). Ethical challenges of algorithmic journalism. Digital Journalism, 5(4), 404–419.

Feher, K. (2024). Exploring AI media. Definitions, conceptual model, research agenda. Journal of Media Business Studies, 21(4), 340-363.

Feuerriegel, S., Hartmann, J., Janiesch, C., & Zschech, P. (2023). Generative AI. Business and Information Systems Engineering, 66(1), 111–126.

Floridi, L., & Taddeo, M. (2016). What is data ethics? subject areas: author for correspondence: philosophical transactions. Series A, 374(2083), 1–5.

Goel, A., Goel, A. K., & Kumar, A. (2022). The role of artificial neural networks and machine learning in utilizing spatial information. Spatial Information Research, 31(3), 275–285.

Hair, J. F., Astrachan, C. B., Moisescu, O. I., Radomir, L., Sarstedt, M., Vaithilingam, S., & Ringle, C. M. (2021). Executing and interpreting applications of PLS-SEM: Updates for family business researchers. Journal of Family Business Strategy, 12(3), 392-404.

Haron, H., Sajari, A., Dewanti, R., Ganesan, Y., & Gui, A. (2023). Digital transformation in community development of Malaysia and Indonesia. Iccd, 5(1), 232–242.

Helberger, N., van Drunen, M., Moeller, J., Vrijenhoek, S., & Eskens, S. (2022). Towards a Normative perspective on journalistic AI: embracing the messy reality of normative ideals. Digital Journalism, 10(10), 1605–1626.

Hong, T., McLaughlin, M. L., Pryor, L., Beaudoin, C. E., & Grabowicz, P. (2005). Internet privacy practices of news media and implications for online journalism. Journalism Studies, 6(1), 15–28.

Jankovic, S. D., & Curovic, D. M. (2023). Strategic integration of artificial intelligence for sustainable businesses: implications for data management and human user engagement in the digital era. Sustainability (Switzerland), 15(21), 34-49.

Kerunga, J., Rowe, E., & Gondwe, G. (2020). Journalism credibility in the digital age – examining shifts in paradigms. Retrieved on November 13, 2025, from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3641943

Küng, L. (2017). Going digital: A roadmap for organisational transformation. Oxford: Reuters Institute for the Study of Journalism.

Kunz, W. H., & Wirtz, J. (2023). Corporate digital responsibility (CDR) in the age of AI: implications for interactive marketing. Journal of Research in Interactive Marketing, 18(1), 31–37.

Lewis, S. C., & Westlund, O. (2014). Actors, actants, audiences, and activities in cross-media news work: A matrix and a research agenda. Digital Journalism, 3(1), 19–37.

Lewis, S. C., Sanders, A. K., & Carmody, C. (2019). Libel by algorithm? Automated journalism and the threat of legal liability. Journalism & Mass Communication Quarterly, 96(1), 60–81.

Li, Z., Shi, J., Zhao, Y., Zhang, B., & Zhong, B. (2024). Indirect media effects on the adoption of artificial intelligence: the roles of perceived and actual knowledge in the influence of presumed media influence model. Journal of Broadcasting and Electronic Media, 68(4), 581–600.

Lobschat, L., Mueller, B., Eggers, F., Brandimarte, L., Diefenbach, S., Kroschke, M., & Wirtz, J. (2021). Corporate digital responsibility. Journal of Business Research, 122(8), 875–888.

Mihale-Wilson, C., Hinz, O., van der Aalst, W., & Weinhardt, C. (2022). Corporate digital responsibility: relevance and opportunities for business and information systems engineering. Business and Information Systems Engineering, 64(2), 127–132.

Mueller, B. (2021). Corporate digital responsibility. Business and Information Systems Engineering, 64(5), 689–700.

Oso, L., Adeniran, R., & Arowolo, O. (2024). Journalism ethics: the dilemma, social and contextual constraints. Cogent Social Sciences, 10(1), 23-40.

Pataranutaporn, P., Danry, V., Leong, J., Punpongsanon, P., Novy, D., Maes, P., & Sra, M. (2021). AI-generated characters for supporting personalized learning and well-being. Nature Machine Intelligence, 3(12), 1013–1022.

Pavlik, J. V. (2013). Innovation and the future of journalism. Digital Journalism, 1(2), 181–193.

Pavlik, J. V. (2023). Collaborating With ChatGPT: Considering the implications of generative artificial intelligence for journalism and media education. Journalism and Mass Communication Educator, 78(1), 84–93.

Peña-Fernández, S., Meso-Ayerdi, K., Larrondo-Ureta, A., & Díaz-Noci, J. (2023). Without journalists, there is no journalism: the social dimension of generative artificial intelligence in the media. Profesional de La Informacion, 32(2), 1–15.

Riemann, R. (2024). Mapping audience analytics use in newsrooms a conceptual typology integrating individual and organizational influences. Journal of Media Business Studies, 11(1), 1-21.

Schapal, A. K., & Porlezza, C. (2020). Assistance or resistance? Evaluating the intersection of automated journalism and journalistic role conceptions. Media and Communication, 8(3), 16–26.

Sinclair, V. L. (2025). The influence of AI-generated news on public trust in journalism: evidence from the UK. Journal of Research in Social Science and Humanities, 4(2), 1–6.

Sjøvaag, H. (2024). The business of news in the AI economy. AI Magazine, 45(2), 246–255.

Tandoc, E. C., Yao, L. J., & Wu, S. (2020). Man vs. machine? the impact of algorithm authorship on news credibility. Digital Journalism, 8(4), 548–562.

Weber-Lewerenz, B. (2021). Corporate digital responsibility (CDR) in construction engineering ethical guidelines for the application of digital transformation and artificial intelligence (AI) in user practice. SN Applied Sciences, 3(10), 21-35.

Westlund, O., Krumsvik, A. H., & Lewis, S. C. (2021). Competition, change, and coordination and collaboration: tracing news executives’ perceptions about participation in media innovation. Journalism Studies, 22(1), 1–21.

Wirtz, J., Kunz, W., Hartley, N., & Tarbit, J. (2022). Corporate digital responsibility in service firms and their ecosystems. Journal of Service Research, 26(2), 173–190.

Zamith, R. (2019). Algorithms and journalism. Oxford Research Encyclopedia of Communication, 3(2), 1–21.

Zhaxylykbayeva, R., Burkitbayeva, A., Zhakhyp, B., Kabylgazina, K., & Ashirbekova, G. (2025). Artificial intelligence and journalistic ethics: A comparative analysis of ai-generated content and traditional journalism. Journalism and Media, 6(3), 105-118.

Downloads

Published

2026-01-31

How to Cite

Wibowo, A. A., & Purba, J. T. (2026). Corporate Digital Responsibility Framework for Successful AI Implementation in News Media. Jurnal Ilmiah Manajemen Kesatuan, 14(1), 1567–1580. https://doi.org/10.37641/jimkes.v14i1.4550