Hypothesis: With AI becoming more advanced and accepted, businesses are starting to use AI more to improve productivity and results and replace lower-level jobs but open up more jobs in the technology area.

Proposal Outline

Introduction

• Businesses changing job performance with AI: Armstrong et al., 2019;
• AI changing the economy: Tschang & Almirall, 2021;
• AI on job Security: Rodriguez-Lluesma et al., 2020;
• Downsides of adopting AI: Shestakova et al., 2021;
• research hypothesis

The benefits of AI in businesses

• AI improving performance
  • Berente et al., 2021;
  • Armstrong et al., 2019;
  • Xu et al., 2020;
  • Chein-Chun et al., 2022;
• AI on Job Market
  • Agrawal et al., 2019;
  • Rodriguez-Lluesma et al., 2020;
  • Tschang & Almirall, 2021;
• Business growth
  • Athena. 2022;
  • Cliff. 2020;
  • Namaki. 2018;

Methodology

• Select 10 companies that are in the same business that do not have AI
• Take results on how the businesses do for two years.
• Split the companies into two groups
  • Let them be and keep running how they usually run without AI
  • Give  AI machinery to do statistics and manually labor
  • After two years see how businesses are doing and how employment has been as well as how employees feel about their job security.

Discussion

• Potential future studies
  • How AI affects small businesses vs big ones
  • cost-effectiveness
• Understanding the outcomes
• How the future of AI looks
• Weaknesses of using AI and the problems that occur

References

Armstrong, D., Ross, G., Graham, R., & Fischer, S. (2019). Considering movement competency within physical employment standards. Work, 63(4), 603-613. https://doi.org/10.3233/wor-192955

Tschang, F., & Almirall, E. (2021). Artificial Intelligence as Augmenting Automation: Implications for Employment. Academy Of Management Perspectives, 35(4), 642-659. https://doi.org/10.5465/amp.2019.0062

Rodriguez‐Lluesma, C., García‐Ruiz, P., & Pinto‐Garay, J. (2020). The digital transformation of work: A relational view. Business Ethics, The Environment &Amp; Responsibility, 30(1), 157-167. https://doi.org/10.1111/beer.12323

Shestakova, V. (2021). Best Practices to Mitigate Bias and Discrimination in Artificial Intelligence. Performance Improvement, 60(6), 6-11. https://doi.org/10.1002/pfi.21987

Berente, N., Bin Gu, Recker, J., & Santhanam, R. (2021). Managing Artificial Intelligence. MIS Quarterly, 45(3), 1433–1450. https://doi-org.ezproxy.fhsu.edu/10.25300/MISQ/2021/16274

Xu, Q., Zheng, W., Liu, X., & Jing, P. (2020). Deep Learning Technique Based Surveillance Video Analysis for the Store. Applied Artificial Intelligence, 34(14), 1055-1073. https://doi.org/10.1080/08839514.2020.1784611

Agrawal, A., Gans, J. S., & Goldfarb, A. (2019). Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction. Journal of Economic Perspectives, 33(2), 31–49. https://doi-org.ezproxy.fhsu.edu/10.1257/jep.33.2.31

Chen, C., Wei, C., Chen, S., Sun, L., & Lin, H. (2021). AI Predicted Competency Model to Maximize Job Performance. Cybernetics And Systems, 53(3), 298-317. https://doi.org/10.1080/01969722.2021.1983701

Athena Information Solutions Pvt. Ltd. (2022). Why AI is a significant catalyst for business growth in 2022. (2022, February 4). Express Computers, NA. https://link.gale.com/apps/doc/A691829784/CDB?u=klnb_fhsuniv&sid=bookmark-CDB&xid=dd545179

Saran, C. (2020). Smart use of AI can bring business boost. Computer Weekly, 14.

Namaki, M. S. S. E. (2018). How Companies are Applying AI to the Business Strategy Formulation. Scholedge International Journal of Business Policy & Governance, 5(8), 77–82. https://doi-org.ezproxy.fhsu.edu/10.19085/journal.sijbpg050801