Have a personal or library account? Click to login

Opportunities or Challenges? The Interplay between Artificial Intelligence and Corporate Social Responsibility Communication

Open Access
|Sep 2024

References

  1. Abitbol, A., & Lee, S. Y. (2017). Messages on CSR-dedicated Facebook pages: What works and what doesn’t. Public Relations Review, 43(4), 796–808. https://doi.org/10.1016/j.pubrev.2017.05.002
  2. An, S., & Xing, M. (2023). The application of CITESPACE Software in document visual analysis and writing. Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023), 41. https://doi.org/10.1117/12.3011365
  3. Araujo, T., & Kollat, J. (2018). Communicating effectively about CSR on Twitter. Internet Research, 28(2), 419–43. https://doi.org/10.1108/intr-04-2017-0172
  4. Atanasov, A., Chipriyanova, G., & Krasteva-Hristova, R. (2023). Integration of digital technologies in Corporate Social Responsibility (CSR) ACTIVITIES: A systematic literature review and Bibliometric analysis. Journal of Risk and Financial Management, 16(8), 373. https://doi.org/10.3390/jrfm16080373
  5. Bianchi, M., Boyle, M., & Hollingsworth, D. (1999). A comparison of methods for trend estimation. Applied Economics Letters, 6(2), 103–109. https://doi.org/10.1080/135048599353726
  6. Buhalis, D., & Moldavska, I. (2022). Voice assistants in hospitality: using artificial intelligence for customer service. Journal of Hospitality and Tourism Technology, 13(3), 386-403. https://doi.org/10.1108/jhtt-03-2021-0104
  7. Chen, C. (2016). CiteSpace: A practical guide for mapping scientific literature. Nova Science Publishers.
  8. Chen, C. (2000). CiteSpace Home. CiteSpace. https://citespace.podia.com/
  9. Chen, C. (2006). CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 57(3), 359-377. https://doi.org/10.1002/asi.20317
  10. Chen, C., Dubin, R., & Kim, M. C. (2014). Emerging trends and new developments in Regenerative Medicine: A scientometric update (2000 – 2014). Expert Opinion on Biological Therapy, 14(9), 1295–1317. https://doi.org/10.1517/14712598.2014.920813
  11. Cheng, X., Zhang, X., Cohen, J., & Mou, J. (2022). Human vs. AI: Understanding the impact of anthropomorphism on consumer response to Chatbots from the perspective of trust and relationship norms. Information Processing & Management, 59(3), 102940. https://doi.org/10.1016/j.ipm.2022.102940
  12. Chhetri, K. B. (2024). Applications of Artificial Intelligence and Machine Learning in Food Quality Control and Safety Assessment. Food Engineering Reviews, 16(1), 1-21. https://doi.org/10.1007/s12393-023-09363-1
  13. Cho, M., Furey, L. D., & Mohr, T. (2017). Communicating Corporate Social Responsibility on Social Media: Strategies, Stakeholders, and Public Engagement on Corporate Facebook. Business and Professional Communication Quarterly, 80(1), 52-69. https://doi.org/10.1177/2329490616663708
  14. Choung, H., David, P., & Ross, A. (2023). Trust in AI and Its Role in the Acceptance of AI Technologies. International Journal of Human-Computer Interaction, 39(9), 1727-1739. https://doi.org/10.1080/10447318.2022.2050543
  15. Crane, A., & Glozer, S. (2016). Researching Corporate Social Responsibility Communication: Themes, Opportunities and Challenges. Journal of Management Studies, 53(7), 1223-1252. https://doi.org/10.1111/joms.12196
  16. Dogru, A. K., & Keskin, B. B. (2020). AI in operations management: applications, challenges and opportunities. Journal of Data, Information and Management, 2(2), 67-74. https://doi.org/10.1007/s42488-020-00023-1
  17. Du, S., & Xie, C. (2021). Paradoxes of artificial intelligence in consumer markets: Ethical challenges and opportunities. Journal of Business Research, 129, 961-974. https://doi.org/10.1016/j.jbusres.2020.08.024
  18. Etter, M., Colleoni, E., Illia, L., Meggiorin, K., & D’Eugenio, A. (2018). Measuring Organizational Legitimacy in Social Media: Assessing Citizens’ Judgments With Sentiment Analysis. Business & Society, 57(1), 60-97. https://doi.org/10.1177/0007650316683926
  19. Galiano-Coronil, A., Aguirre Montero, A., López Sánchez, J. A., & Díaz Ortega, R. (2024). Exploring social responsibility, social marketing and happiness using artificial intelligence, automated text analysis and correspondence analysis. Management Decision, 62(2), 549-574. https://doi.org/10.1108/md-01-2023-0099
  20. Gonçalves, A. R., Pinto, D. C., Rita, P., & Pires, T. (2023). Artificial Intelligence and Its Ethical Implications for Marketing. Emerging Science Journal, 7(2), 313-327. https://doi.org/10.28991/esj-2023-07-02-01
  21. Gore, S., Dutt, I., Shyam Prasad, D., Ambhika, C., Sundaram, A., & Nagaraju, D. (2023). Exploring the Path to Sustainable Growth with Augmented Intelligence by Integrating CSR into Economic Models. 2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), 265-271. https://doi.org/10.1109/icaiss58487.2023.10250636
  22. Gupta, S., Nawaz, N., Alfalah, A. A., Naveed, R. T., Muneer, S., & Ahmad, N. (2021). The Relationship of CSR Communication on Social Media with Consumer Purchase Intention and Brand Admiration. Journal of Theoretical and Applied Electronic Commerce Research, 16(5), 1217-1230. https://doi.org/10.3390/jtaer16050068
  23. Huang, M.-H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30-50. https://doi.org/10.1007/s11747-020-00749-9
  24. Iancu, I., & Iancu, B. (2023). Interacting with chatbots later in life: A technology acceptance perspective in COVID-19 pandemic situation. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.1111003
  25. Kazemi, B., Bazrkar, A., & Yadegari, R. (2023). Enhancing B2B CSR: AI Driven CRM and technology readiness. Revista Română de Informatică și Automatică, 33(4), 81-98. https://doi.org/10.33436/v33i4y202307
  26. Kim, T., Lee, H., Kim, M. Y., Kim, S., & Duhachek, A. (2023). AI increases unethical consumer behavior due to reduced anticipatory guilt. Journal of the Academy of Marketing Science, 51(4), 785-801. https://doi.org/10.1007/s11747-021-00832-9
  27. Lakhan, N. (2022). Applications of Data Science and AI in Business. International Journal for Research in Applied Science and Engineering Technology, 10(5), 4115-4118. https://doi.org/10.22214/ijraset.2022.43343
  28. Laszkiewicz, A., & Kalinska-Kula, M. (2023). Virtual influencers as an emerging marketing theory: A systematic literature review. International Journal of Consumer Studies, 47(6), 2479-2494. https://doi.org/10.1111/ijcs.12956
  29. Lim, W. M., Kumar, S., & Ali, F. (2022). Advancing knowledge through literature reviews: ‘what’, ‘why’, and ‘how to contribute’. The Service Industries Journal, 42(7-8), 481-513. https://doi.org/10.1080/02642069.2022.2047941
  30. Liu, R., Gupta, S., & Patel, P. (2023). The Application of the Principles of Responsible AI on Social Media Marketing for Digital Health. Information Systems Frontiers, 25(6), 2275-2299. https://doi.org/10.1007/s10796-021-10191-z
  31. Luger, M., Hofer, K. M., & Floh, A. (2022). Support for corporate social responsibility among generation Y consumers in advanced versus emerging markets. International Business Review, 31(2), 101903. https://doi.org/10.1016/j.ibusrev.2021.101903
  32. McLean, G., Osei-Frimpong, K., & Barhorst, J. (2021). Alexa, do voice assistants influence consumer brand engagement? - Examining the role of AI powered voice assistants in influencing consumer brand engagement. Journal of Business Research, 124, 312-328. https://doi.org/10.1016/j.jbusres.2020.11.045
  33. O’Connor, A., & Gronewold, K. L. (2013). Black Gold, Green Earth: An Analysis of the Petroleum Industry’s CSR Environmental Sustainability Discourse. Management Communication Quarterly, 27(2), 210-236. https://doi.org/10.1177/0893318912465189
  34. Omoge, A. P., Gala, P., & Horky, A. (2022). Disruptive technology and AI in the banking industry of an emerging market. International Journal of Bank Marketing, 40(6), 1217-1247. https://doi.org/10.1108/ijbm-09-2021-0403
  35. Pelau, C., Dabija, D.-C., & Ene, I. (2021). What makes an AI device human-like? The role of interaction quality, empathy and perceived psychological anthropomorphic characteristics in the acceptance of artificial intelligence in the service industry. Computers in Human Behavior, 122, 106855. https://doi.org/10.1016/j.chb.2021.106855
  36. Pop, Ș., Pelau, C., Ciofu, I., & Kondort, G. (2023). Factors predicting consumer-AI interactions. BASIQ 2023 International Conference on New Trends in Sustainable Business and Consumption New Trends in Sustainable Business and Consumption, 592-597. https://doi.org/10.24818/basiq/2023/09/068
  37. Ruhana, F., Hiswanti, S., Fatmawati, E., & Firmansyah. (2024). Corporate Social Responsibility In The Age Of AI: Reimagining Business Ethics And Management. Migration Letters, 21(S2), 1009–1018.
  38. Sands, S., Campbell, C. L., Plangger, K., & Ferraro, C. (2022). Unreal influence: leveraging AI in influencer marketing. European Journal of Marketing, 56(6), 1721-1747. https://doi.org/10.1108/ejm-12-2019-0949
  39. Sohn, K., & Kwon, O. (2020). Technology acceptance theories and factors influencing artificial Intelligence-based intelligent products. Telematics and Informatics, 47, 101324. https://doi.org/10.1016/j.tele.2019.101324
  40. Saxton, G. D., Gomez, L., Ngoh, Z., Lin, Y.-P., & Dietrich, S. (2019). Do CSR Messages Resonate? Examining Public Reactions to Firms’ CSR Efforts on Social Media. Journal of Business Ethics, 155(2), 359-377. https://doi.org/10.1007/s10551-017-3464-z
  41. Thomas, A. S., Jayachandran, A., & Biju, A. V. N. (2024). Strategic mapping of the environmental social governance landscape in finance - A bibliometric exploration through concepts and themes. Corporate Social Responsibility and Environmental Management, 31(5), 4428-4453. https://doi.org/10.1002/csr.2805
  42. Uysal, E., Alavi, S., & Bezençon, V. (2022). Trojan horse or useful helper? A relationship perspective on artificial intelligence assistants with humanlike features. Journal of the Academy of Marketing Science, 50(6), 1153-1175. https://doi.org/10.1007/s11747-022-00856-9
  43. van Doorn, J., Mende, M., Noble, S. M., Hulland, J., Ostrom, A. L., Grewal, D., & Petersen, J. A. (2017). Domo Arigato Mr. Roboto: Emergence of Automated Social Presence in Organizational Frontlines and Customers’ Service Experiences. Journal of Service Research, 20(1), 43-58. https://doi.org/10.1177/1094670516679272
  44. Wu, L., Chen, Z. F., & Tao, W. (2024). Instilling warmth in artificial intelligence? Examining publics’ responses to AI-applied corporate ability and corporate social responsibility practices. Public Relations Review, 50(1), 102426. https://doi.org/10.1016/j.pubrev.2024.102426
  45. Xie, J., Wei, L., Luo, Y., & Dang, Q. (2018). A Literature Review on Application Progress and Research Prospects of CiteSpace. DEStech Transactions on Social Science, Education and Human Science(adess). https://doi.org/10.12783/dtssehs/adess2017/17872
  46. Yen, C., & Chiang, M.-C. (2021). Trust me, if you can: a study on the factors that influence consumers’ purchase intention triggered by chatbots based on brain image evidence and self-reported assessments. Behaviour & Information Technology, 40(11), 1177-1194. https://doi.org/10.1080/0144929x.2020.1743362
  47. Yuan, S. (2019). Comparative analysis of Chinese and Japanese corporate communication on Facebook and Twitter. Chinese Journal of Communication, 12(2), 224-243. https://doi.org/10.1080/17544750.2018.1528292
  48. Zhang, B. (2021). Public Opinion toward Artificial Intelligence. OSF Preprints 284sm, Center for Open Science. https://doi.org/10.31219/osf.io/284sm
  49. Zhang, T., Tao, D., Qu, X., Zhang, X., Lin, R., & Zhang, W. (2019). The roles of initial trust and perceived risk in public’s acceptance of automated vehicles. Transportation Research Part C: Emerging Technologies, 98, 207-220. https://doi.org/10.1016/j.trc.2018.11.018
  50. Zhao, X., Nan, D., Chen, C., Zhang, S., Che, S., & Kim, J. H. (2023). Bibliometric study on environmental, social, and governance research using CiteSpace. Frontiers in Environmental Science, 10. https://doi.org/10.3389/fenvs.2022.1087493
DOI: https://doi.org/10.2478/bsrj-2024-0007 | Journal eISSN: 1847-9375 | Journal ISSN: 1847-8344
Language: English
Page range: 131 - 157
Submitted on: Apr 28, 2024
Accepted on: Jun 3, 2024
Published on: Sep 26, 2024
Published by: IRENET - Society for Advancing Innovation and Research in Economy
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2024 Xiangzhou Hua, Nurul Ain Mohd Hasan, Feroz De Costa, Weihua Qiao, published by IRENET - Society for Advancing Innovation and Research in Economy
This work is licensed under the Creative Commons Attribution 4.0 License.