Abou-Zahra, S., Brewer, J., & Cooper, M. (2018). Artificial Intelligence (AI) for Web Accessibility: Is Conformance Evaluation a Way Forward? Paper presented at the Proceedings of the 15th International Web for All Conference, Lyon, France.
https://doi.org/10.1145/3192714.3192834
Anshari, M., Almunawar, M. N., Lim, S. A., & Al-Mudimigh, A. (2019). Customer relationship management and big data enabled: Personalization & customization of services. Applied Computing and Informatics, 15(2), 94-101.
https://doi.org/10.1016/j.aci.2018.05.004
Baek, T. H. (2023). Digital Advertising in the Age of Generative AI. Journal of Current Issues & Research in Advertising, 44(3), 249–251.
https://doi.org/10.1080/10641734.2023.2243496
Balaji, M. S., & Roy, S. K. (2017). Value co-creation with Internet of things technology in the retail industry. Journal of Marketing Management, 33(1-2), 7-31.
https://doi.org/10.1080/0267257X.2016.1217914
Chui, M., Manyika, J., & Miremadi, M. (2015). Four fundamentals of workplace automation. McKinsey Quarterly, 29(3), 1-9.
Chui, M., Manyika, J., & Miremadi, M. (2015). Four fundamentals of workplace automation. McKinsey Quarterly, 29(3), 1-9. doi:
https://doi.org/10.1016/j.hrmr.2021.100857
Davenport, T. H., & Kirby, J. (2015). Beyond automation. Harvard Business Review, 93(6), 58-65.
Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48, 24-42.
https://doi.org/10.1007/s11747-019-00696-0
Donthu, N., Lim, W. M., Kumar, S., & Pattnaik, D. (2022a). A scientometric study of the Journal of Advertising Research: Prominent contributors and research themes from 1996 to 2019. Journal of Advertising Research, 62(2), 105–117.
Ferreira, C. M. S., Oliveira, R. A. R., Silva, J. S., & Cunha Cavalcanti, C. F. M. d. (2020). Blockchain for Machine to Machine Interaction in Industry 4.0. In R. d. Rosa Righi, A. M. Alberti, & M. Singh (Eds.), Blockchain Technology for Industry 4.0: Secure, Decentralized, Distributed and Trusted Industry Environment (pp. 99-116). Singapore: Springer Singapore.
Gans, J. S. (2016). Keep calm and manage disruption. MIT Sloan Management Review, 57(3), 83.
Gao, B., Wang, Y., Xie, H., Hu, Y., & Hu, Y. (2023). Artificial Intelligence in Advertising: Advancements, Challenges, and Ethical Considerations in Targeting, Personalization, Content Creation, and Ad Optimization. Sage Open, 13(4).
https://doi.org/10.1177/21582440231210759
Haenlein, M., & Kaplan, A. (2019). A brief history of artificial intelligence: On the past, present, and future of artificial intelligence. California management review, 61(4), 5-14.
https://doi.org/10.1177/0008125619864925
Huang, M. H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of service research, 21(2), 155-172.
https://doi.org/10.1177/1094670517752459
Ibarra, D., Ganzarain, J., & Igartua, J. I. (2018). Business model innovation through Industry 4.0: A review. Procedia Manufacturing, 22, 4-10. doi:
https://doi.org/10.1016/j.promfg.2018.03.002
Jiang, Z., & Wu, D. (2022). Targeting precision in imperfect targeted advertising: Implications for the regulation of market structure and efficiency. SAGE Open, 12(1), 21582440221082132.
Karatop, B., Kubat, C., & Uygun, Ö. (2015). Talent management in manufacturing system using fuzzy logic approach. Computers & Industrial Engineering, 86, 127-136. doi:
https://doi.org/10.1016/j.cie.2014.09.015
Kumar, K., & Thakur, G. S. M. (2012). Advanced applications of neural networks and artificial intelligence: A review. International journal of information technology and computer science, 4(6), 57-68. doi:
https://doi.org/10.1016/j.hrmr.2021.100857
Lee, J., Davari, H., Singh, J., & Pandhare, V. (2018). Industrial Artificial Intelligence for industry 4.0-based manufacturing systems. Manufacturing Letters, 18, 20-23. doi:
https://doi.org/10.1016/j.mfglet.2018.09.002
Li, Y. (2019). Impact of Artificial Intelligence on Creative Digital Content Production. Journal of Digital Art Engineering and Multimedia, 6(2), 121.
Liu, F., Shi, Y., & Liu, Y. (2017). Intelligence Quotient and Intelligence Grade of Artificial Intelligence. Annals of Data Science, 4(2), 179-191. doi:
http://10.1007/s40745-017-0109-0
Lowry, P. B., Gaskin, J., Humpherys, S. L., Moody, G. D., Galletta, D. F., Barlow, J. B., & Wilson, D. W. (2013). Evaluating journal quality and the association for information systems senior scholars' journal basket via bibliometric measures: Do expert journal assessments add value?. MIS quarterly, 993-1012.
https://www.jstor.org/stable/43825779
Lowry, P. B., Romans, D., & Curtis, A. M. (2004). Global journal prestige and supporting disciplines: A scientometric study of information systems journals. Global journal prestige and supporting disciplines: A scientometric study of information systems journals. Journal of the Association for Information Systems (JAIS), 5(2), 29-80.
https://ssrn.com/abstract=666145
Lu, V. N., Wirtz, J., Kunz, W. H., Paluch, S., Gruber, T., Martins, A., & Patterson, P. G. (2020). Service robots, customers and service employees: what can we learn from the academic literature and where are the gaps?. Journal of Service Theory and Practice, 30(3), 361-391.
https://doi.org/10.1108/JSTP-04-2019-0088
Luo, X., Tong, S., Fang, Z., & Qu, Z. (2019). Frontiers: Machines vs. humans: The impact of artificial intelligence chatbot disclosure on customer purchases. Marketing Science, 38(6), 937-947.
https://doi.org/10.1287/mksc.2019.1192
Marinova, D., de Ruyter, K., Huang, M. H., Meuter, M. L., & Challagalla, G. (2017). Getting smart: Learning from technology-empowered frontline interactions. Journal of Service Research, 20(1), 29-42.
https://doi.org/10.1177/1094670516679273
McAfee, A., & Brynjolfsson, E. (2016). Human work in the robotic future: Policy for the age of automation. Foreign Affairs, 95(4), 139-150.
https://www.jstor.org/stable/43946940
Misselhorn, C. (2018). Artificial Morality. Concepts, Issues and Challenges. Society, 55(2), 161-169. doi:
https://doi.org/10.1007/s12115-018-0229-y
Mookerjee, R., Kumar, S., & Mookerjee, V. S. (2017). Optimizing performance-based internet advertisement campaigns. Operations Research, 65(1), 38-54.
Müller, J. M., Buliga, O., & Voigt, K.-I. (2021). The role of absorptive capacity and innovation strategy in the design of industry 4.0 business Models - A comparison between SMEs and large enterprises. European Management Journal, 39(3), 333-343. doi:
https://doi.org/10.1016/j.emj.2020.01.002
Qin, X., & Jiang, Z. (2019). The Impact of AI on the Advertising Process: The Chinese Experience.
Journal of Advertising,
48(4), 338–346.
https://doi.org/10.1080/00913367.2019.1652122
Rangaswamy, A., Moch, N., Felten, C., Van Bruggen, G., Wieringa, J. E., & Wirtz, J. (2020). The role of marketing in digital business platforms. Journal of Interactive Marketing, 51(1), 72-90.
https://doi.org/10.1016/j.intmar.2020.04.006
Russell, S. J., & Norvig, P. (2016). Artificial intelligence: a modern approach. Pearson.
Rust, R. T., & Huang, M. H. (2012). Optimizing service productivity. Journal of marketing, 76(2), 47-66.
https://doi.org/10.1509/jm.10.0441
Shabbir, J., & Anwer, T. (2018). Artificial intelligence and its role in near future. arXiv preprint arXiv:1804.01396.
https://doi.org/10.48550/arXiv.1804.01396
Shah, N., Engineer, S., Bhagat, N., Chauhan, H., & Shah, M. (2020). Research trends on the usage of machine learning and artificial intelligence in advertising. Augmented Human Research, 5, 1-15.
https://doi.org/10.1007/s41133-020-00038-8
Soh, C., & Connolly, D. (2021). New Frontiers of Profit and Risk: The Fourth Industrial Revolution’s Impact on Business and Human Rights. New Political Economy, 26(1), 168-185. doi:
http://10.1080/13563467.2020.1723514
Tjepkema, L. (2019). What is artificial intelligence marketing and why is it so powerful? Emarsys. Hüseyin Fatih Atlı, 103.
Vakratsas, D., & Wang, X. (Shane). (2020). Artificial Intelligence in Advertising Creativity. Journal of Advertising, 50(1), 39–51.
https://doi.org/10.1080/00913367.2020.1843090
Vetterli, C., Uebernickel, F., Brenner, W., Petrie, C., & Stermann, D. (2016). How Deutsche Bank's IT Division Used Design Thinking to Achieve Customer Proximity. MIS Quarterly Executive, 15(1).
Viktoratos, I., & Tsadiras, A. (2021). Personalized advertising computational techniques: A systematic literature review, findings, and a design framework. Information, 12(11), 480.
von Krogh, G. (2018). Artificial Intelligence in Organizations: New Opportunities for Phenomenon-Based Theorizing. Academy of Management Discoveries, 4(4), 404-409. doi:
http://10.5465/amd.2018.0084
Wirth, N. (2018). Hello marketing, what can artificial intelligence help you with?. International Journal of Market Research, 60(5), 435-438.
https://doi.org/10.1177/1470785318776841
Wirtz, J. (2020). Organizational ambidexterity: cost-effective service excellence, service robots, and artificial intelligence. Organizational Dynamics, 49(3), 1-9.
Wirtz, J., So, K. K. F., Mody, M. A., Liu, S. Q., & Chun, H. H. (2019). Platforms in the peer-to-peer sharing economy. Journal of Service Management, 30(4), 452-483.
https://doi.org/10.1108/JOSM-11-2018-0369
Xu, M., David, J. M., & Kim, S. H. (2018). The fourth industrial revolution: Opportunities and challenges. International journal of financial research, 9(2), 90-95. doi:
https://doi.org/10.1016/j.hrmr.2021.100857
Zhao, X., Gu, C., Zhang, H., Yang, X., Liu, X., Tang, J., & Liu, H. (2021, May). Dear: Deep reinforcement learning for online advertising impression in recommender systems. In Proceedings of the AAAI conference on artificial intelligence (Vol. 35, No. 1, pp. 750-758).