Digital Reading Room 2.0 -- EEAI 611: Emergence of AI in Business

EEAI 611: Emergence of AI in Business Report a Broken Link

Emergence of Artificial Intelligence in Business (EEAI 611) covers the interplays between artificial intelligence (AI) and humans in decision-making and the impact, benefits, and challenges of incorporating AI into business. By participating in discussions and cases, students will learn about the pillars of an effective AI strategy and understand the challenges of developing a comprehensive AI strategy for their organization. This course embraces a multidisciplinary perspective that highlights the contributions and insights from major fields of business.

This course is not for students with work experience or advanced knowledge of AI.

Required Readings

Lesson 1

EduShots. (2024). Artificial intelligence. Infographics. https://www.edushots.com/infographic.php?infographicToken=Artificial-Intelligence

Kerzel, U. (2020). Enterprise AI canvas — integrating artificial intelligence into business. arXiv. https://doi.org/10.48550/arxiv.2009.11190

Kitsios, F., & Kamariotou, M. (2021). Artificial intelligence and business strategy towards digital transformation: a research agenda. Sustainability, 13(4), 2025. https://doi.org/10.3390/su13042025

Kurup, R., & Gupta, V. (2022). Factors influencing the AI adoption in organizations. Metamorphosis, 21(2), 129-139. https://0-doi-org.aupac.lib.athabascau.ca/10.1177/09726225221124035

Lee, J., Suh, T., Roy, D., & Baucus, M. (2019). Emerging technology and business model innovation: the case of artificial intelligence. Journal of Open Innovation Technology Market and Complexity, 5(3), 44. https://doi.org/10.3390/joitmc5030044

Norton, C. (2023, April 20). Combining AI and human intelligence: Adding value in the age of automation and AI. Velosio. https://www.velosio.com/blog/combining-ai-and-human-intelligence-adding-value-in-the-age-of-automation-and-ai/

Reim, W., Åström, J., & Eriksson, O. (2020). Implementation of artificial intelligence (AI): a roadmap for business model innovation. AI, 1(2), 180-191. https://doi.org/10.3390/ai1020011

Wamba-Taguimdje, S., Wamba, S., Kamdjoug, J., & Wanko, C. (2020). Influence of artificial intelligence (AI) on firm performance: The business value of AI-based transformation projects. Business Process Management Journal, 26(7), 1893-1924. https://0-www-emerald-com.aupac.lib.athabascau.ca/insight/content/doi/10.1108/BPMJ-10-2019-0411/full/html

Lesson 2

Cao, G., Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2021). Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making. Technovation, 106, 102312. https://doi.org/10.1016/j.technovation.2021.102312

[Note: All sections except Research methodology and Model testing and findings]

Papagiannidis, E., Enholm, I. M., Dremel, C., Mikalef, P., & Krogstie, J. (2023). Toward AI governance: Identifying best practices and potential barriers and outcomes. Information Systems Frontiers, 25(1), 123-141. https://doi.org/10.1007/s10796-022-10251-y

[Note: All sections except Methodology]

Lesson 3

Agarwal, R., Kremer, A., Kristensen, I. & Luget, A. (2024). How generative AI can help banks manage risk and compliance. Risk and Resilience. McKinsey & Company. https://www.mckinsey.com/capabilities/risk-and-resilience/our-insights/how-generative-ai-can-help-banks-manage-risk-and-compliance?cid=eml-web

Biswas, S., Carson, B., Chung, V., Singh, S., & Thomas, R. (2020, September 19). AI-bank of the future: Can banks meet the AI challenge? McKinsey & Company. https://www.mckinsey.com/industries/financial-services/our-insights/ai-bank-of-the-future-can-banks-meet-the-ai-challenge

Boustani, N. (2022, April). Artificial intelligence impact on banks clients and employees in an Asian developing country. Journal of Asia Business Studies, 16(2), 267-278. http://0-search.proquest.com.aupac.lib.athabascau.ca/scholarly-journals/artificial-intelligence-impact-on-banks-clients/docview/2640975754/se-2?accountid=8408

Deloitte. (2021). Artificial intelligence: Transforming the future of banking. https://www2.deloitte.com/content/dam/Deloitte/us/Documents/process-and-operations/us-ai-transforming-future-of-banking.pdf

Filipsson, F. (2024, July 23). Top 20 AI tools for finance – navigating the future. Redress Compliance (R//C). https://redresscompliance.com/navigating-the-future-the-role-of-ai-tools-in-finance/

Ghandour, A. (2021). Opportunities and challenges of artificial intelligence in banking: Systematic literature review. TEM Journal, 10(4),1581-1587. https://doi.org/10.18421/tem104-12

Lasnick, R. (2023, July 14). How generative AI can take finance and accounting to a new level. Plooto. https://www.plooto.com/blog/how-generative-ai-can-take-finance-and-accounting-to-a-new-level

Lesson 4

Fenwick, A., Molnar, G., & Frangos, P. (2024, January 14). Revisiting the role of HR in the age of AI: bringing humans and machines closer together in the workplace. Frontiers in Artificial Intelligence, 6, 1272823. https://doi.org/10.3389/frai.2023.1272823

Kim-Schmid, J., & Raveendhran, R. (2022, October 13). Where AI can – and can’t – help talent management. Harvard Business Review. https://hbr.org/2022/10/where-ai-can-and-cant-help-talent-management

Matos, A. (2023, August 16). Transforming talent acquisition through the power of automation and artificial intelligence. Harvard Business Review. https://hbr.org/sponsored/2023/08/transforming-talent-acquisition-through-the-power-of-automation-and-artificial-intelligence

Mobinius Editor. (2020, August 3). AI in HR: Importance of artificial intelligence technology in HR. Medium. https://medium.com/mobinius/ai-in-hr-importance-of-artificial-intelligence-technology-in-hr-39a43c5ed4af

Srivastava, S. (2024, October 21). AI in HR – 10 ways artificial intelligence is transforming the industry processes. Appinventiv. https://appinventiv.com/blog/ai-in-hr/

Lesson 5

Davenport, T. H., Guha, A., & Grewal, D. (2021). How to design an AI marketing strategy. Harvard Business Review, 99(4), 42-47. https://hbr.org/2021/07/how-to-design-an-ai-marketing-strategy

Deveau, R., Griffin, S. J., & Reis, S. (2023, May 11). AI-powered marketing and sales reach new heights with generative AI. McKinsey & Company. https://www.mckinsey.com/capabilities/growth-marketing-and-sales/our-insights/ai-powered-marketing-and-sales-reach-new-heights-with-generative-ai#

Lesson 6

Arinez, J., Chang, Q., Gao, R., Xu, C., & Zhang, J. (2020). Artificial intelligence in advanced manufacturing: Current status and future outlook. Journal of Manufacturing Science and Engineering, 142(11). https://doi.org/10.1115/1.4047855

Butner, K., & Lubowe, D. (2017). Welcome to the cognitive supply chain. Digital operations – reimagined [Executive report: Operations and supply chain]. IBM Institute for Business Value. https://www.ibm.com/downloads/cas/DGP9YPZV

Downie, A., & Finn, T. (2024, May 20). What is AI in supply chain? IBM Think. https://www.ibm.com/think/topics/ai-supply-chain

Kumar, I., Rawat, J., Mohd, N., & Husain, S. (2021). Opportunities of artificial intelligence and machine learning in the food industry. Journal of Food Quality, 2021, 1-10. https://doi.org/10.1155/2021/4535567

Mohsen, B. (2023). Impact of artificial intelligence on supply chain management performance. Journal of Service Science and Management, 16(1), 44-58. https://doi.org/10.4236/jssm.2023.161004

Plathottam, S., Rzonca, A., Lakhnori, R., & Chukwunwike, O.I. (2023). A review of artificial intelligence applications in manufacturing operations. Journal of Advanced Manufacturing and Processing, 5(3). https://doi.org/10.1002/amp2.10159

Lesson 7

Auth, G, Jöhnk, J., & Wiecha, D. A. (2021, September 1-3). A conceptual framework for applying artificial intelligence in project management [Paper presentation]. 2021 IEEE 23rd Conference on Business Informatics (CBI), Bolzano, Italy. https://0-ieeexplore-ieee-org.aupac.lib.athabascau.ca/document/9610711

Barcaui, A. M., & Monat, A. (2023). Who is better in project planning? Generative artificial intelligence or project managers? Project Leadership and Society, 4, 100101. https://doi.org/10.1016/j.plas.2023.100101

Chamorro-Premuzic, T., & Boyce, C. (2023). 4 factors that will help project managers fulfill AI's potential. Harvard Business Review Digital Articles, 1–6. https://0-search.ebscohost.com.aupac.lib.athabascau.ca/login.aspx?direct=true&db=bth&AN=173580185&site=eds-live

Holzmann, V., Zitter, D., & Peshkess, S. (2022). The expectations of project managers from artificial intelligence: A Delphi study. Project Management Journal, 53(5), 438–455. https://0-doi-org.aupac.lib.athabascau.ca/10.1177/87569728211061779

Müller, R., Locatelli, G., Holzmann, V., Nilsson, M., & Sagay, T. (2024). Artificial intelligence and project management: Empirical overview, state of the art, and guidelines for future research. Project Management Journal, 55(1). https://doi.org/10.1177/87569728231225198

Lesson 8

Blackman, R. (2023, May 9). How to avoid the ethical nightmares of emerging technologies. Harvard Business Review. https://hbr.org/2023/05/how-to-avoid-the-ethical-nightmares-of-emerging-technology

Capgemini Research Institute. (2020). AI and the ethical conundrum (Fig. 11, p. 21). https://www.capgemini.com/wp-content/uploads/2021/02/AI-and-the-Ethical-Conundrum-Report-1-40-1.pdf

Huang, C., Zhang, Z., & Mao, B. (2023). An overview of artificial intelligence ethics. IEEE Transactions on Artificial Intelligence, 4(4), 799-819. https://doi.org/10.1109/tai.2022.3194503

John-Mathews, J. (2022). Some critical and ethical perspectives on the empirical turn of AI interpretability. Technological Forecasting and Social Change, 174, 121209. https://0-www-sciencedirect-com.aupac.lib.athabascau.ca/science/article/pii/S0040162521006429

Leimanis, A., & Palkova, K. (2021). Ethical guidelines for artificial intelligence in healthcare from the sustainable development perspective. European Journal of Sustainable Development, 10(1), 90. https://doi.org/10.14207/ejsd.2021.v10n1p90

Sun, T., & Medaglia, R. (2019). Mapping the challenges of artificial intelligence in the public sector: evidence from public healthcare. Government Information Quarterly, 36(2), 368-383. https://0-www-sciencedirect-com.aupac.lib.athabascau.ca/science/article/pii/S0740624X17304781

Lesson 9

Atsmon, Y. (2023, January 11). Artificial intelligence in strategy [Podcast]. Strategy & Corporate Finance, McKinsey & Company. https://www.mckinsey.com/capabilities/strategy-and-corporate-finance/our-insights/artificial-intelligence-in-strategy

Davenport, T. (2018). From analytics to artificial intelligence. Journal of Business Analytics, 1(2), 73-80. https://doi.org/10.1080/2573234x.2018.1543535

Finio, M. (2023, December 20). How to build a successful AI strategy. IBM Think. https://www.ibm.com/blog/artificial-intelligence-strategy/

Marr, B. (2024). How to develop your artificial intelligence (AI) strategy – With handy template. Bernard Marr & Co. https://bernardmarr.com/how-to-develop-your-artificial-intelligence-ai-strategy-with-handy-template/

Note: Use the templates if you wish; also see the video.

Sharma, R. (2024, September 9). Creating AI strategy framework: The blueprint for AI success. Markovate. https://markovate.com/blog/ai-strategy-framework/

Stanford Online. (n.d.). The 4 Steps to building an effective AI strategy. Stanford Centre for Professional Development. https://online.stanford.edu/4-steps-building-effective-ai-strategy

Wang, X., Liu, Y., Chen, L., & Zhang, Y. (2022). Correlation monitoring method and model of science-technology-industry in the AI field: a case of the neural network. Sage Open, 12(4), 215824402211412. https://doi.org/10.1177/21582440221141299

Lesson 10

Appel, G., Neelbauer, J., & Schweidel, D. A. (2023). Generative AI has an intellectual property problem. Harvard Business Review, 7. https://hbr.org/2023/04/generative-ai-has-an-intellectual-property-problem

Marr, B. (2023, June 2). The 15 biggest risks of artificial intelligence. Forbes. https://www.forbes.com/sites/bernardmarr/2023/06/02/the-15-biggest-risks-of-artificial-intelligence/amp/