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In today’s rapidly evolving technological landscape, companies are navigating th
In today’s rapidly evolving technological landscape, companies are navigating the transformational wave of Artificial Intelligence (AI) and automation, reshaping not only their operational foundations but also the future of their workforce. As a consultant for CapraTek, a notable technology enterprise with a national footprint of manufacturing facilities, you find yourself at the nexus of this transition. CapraTek’s ambition to harness the prowess of AI and automation, while commendable for its efficiency goals, ushers in a complex tableau of human resource challenges. The cornerstone of this transition is the company’s commitment to reskilling its talent pools, ensuring they are equipped and agile in the face of an ever-digitizing global environment. However, with change comes responsibility—the dual responsibility of upholding legal mandates and traversing the intricate tapestry of ethical considerations. This assessment delves deep into these realms, exploring the challenges, distinctions, and recommendations for CapraTek as it steers its workforce towards a digitized future.
As you complete your assessment, be sure it meets the following guidelines:
Written communication: Use error-free, doctoral-level writing with original (non-plagiarized) content, logical phrasing, and accurate word choices.
Scholarship: Use 5–6 professionally reputable sources to support your main points and analysis. Be sure to include scholarly sources. Course readings may be included among the required sources.
APA formatting: All resources and citations should be formatted according to current APA style and formatting guidelines.
Length: 4–5 typed, double-spaced pages, in addition to the cover page, illustrations, reference page, and appendix.
Font and font size: Consistent, APA-compliant font, 12 point.
For this assignment, you are required to follow the Standard Naming Convention requirements for any files you upload. You will find the requirements on the DBA Submissions Requirements page.
Resources
Lund, S., Madgavkar, A., Manyika, J., & Smit, S. (2020). What’s next for remote work: An analysis of 2,000 tasks, 800 jobs, and nine countries. https://www.mckinsey.com/featured-insights/future-of-work/whats-next-for-remote-work-an-analysis-of-2000-tasks-800-jobs-and-nine-countries.
This article argues that the impact of a pandemic on remote work has staying power for the future.
Estlund, C. (2019). Three big ideas for future of less work and three-dimensional alternative. Law and Contemporary Problems, 82(3), 1–44.
This resource examines the pros and cons of a universal basic income (UBI), a federal job guarantee (FJG), and a reduced work week.
Center for the Future of Work. (2017). 21 jobs of the future: A guide to getting and staying employed over the next 10 years [PDF]. https://www.cognizant.com/whitepapers/21-jobs-of-the-future-a-guide-to-getting-and-staying-employed-over-the-next-10-years-codex3049.pdf
This resource suggests new jobs in the future workplace.
McKinsey & Company. (2021). The future of work after COVID-19. https://www.mckinsey.com/featured-insights/future-of-work/the-future-of-work-after-covid-19
This resource suggests that a pandemic accelerates the already-inevitable trend of remote work and use of artificial intelligence (AI) to perform jobs previously done by humans, concluding that more workers than previously imagined will need to be re-skilled in order to maintain current wage levels.
Yorks, L., Rotatori, D., Sung, S., & Justice, S. (2020). Workplace reflection in the age of AI: Materiality, technology, and machines. Advances in Developing Human Resources, 22(3), 308–319.
This resource predicts expanded uses of assisted intelligence, augmented intelligence, and autonomous intelligence and concludes they will improve human decision-making.
Brougham, D., & Haar, J. (2018). Smart technology, artificial intelligence, robotics, and algorithms (STARA): Employees’ perceptions of our future workplace. Journal of Management and Organization, 24(2), 239–257.
This resource projects the impact of STARA on today’s workplace, its current effect on employees, and its future iterations.
de Graaf Maartje, M. A. (2016). An ethical evaluation of human–robot relationships. International Journal of Social Robotics, 8(4), 589–598.
This resource examines human-robot relationships as robots become increasingly human-like. Examining what ethical issues might arise, it asks whether robots can meet some human emotional needs and what impacts those unidirectional emotional bonds will have on humans and their wellbeing.
Miller, T. (2018). The new world of human resources and employment: How artificial intelligence and process redesign is driving dramatic change. Business Expert Press.
This resource gets into how AI works, the jobs it will replace, and suggests an action plan for HR to lead the way for new business models. Pay particular attention to chapters 1 and 2 on pages 1–28.
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