Boolean Operators

 

Collect literature on the selected topic. Conduct a literature review for their selected capstone topic which will include a minimum of 10 Journal articles of scholarly literature pertaining to the selected topic.

Literature review – creation of scholarly peer reviewed source list (Peer Review – is the evaluation of research quality and rigor by Individuals in the same specialty area) You may use other sources that are not peer reviewed in addition to the minimum 10 scholarly sources. So to be clear you must have 10 peer reviewed journals minimum and may have more sources but you cannot have less.

Steps to a Literature Review

1. Identify and access relevant and reliable sources

2. Identify the topic/terms to search Utilize keywords to help you locate articles that pertain to your topic or the points you want to make about your topic

 

Boolean Operators

 

3. Refine the topic/terms If your search is too broad or to narrow you will need to refine your search of the literature by using Boolean operators

Boolean Operators are –

AND Joins Concepts
NOT Excludes Concepts
OR includes Either or Both Terms
* Includes – All words with the same root
“ “ Includes Only exact phrases in quotations
() Combines – Search Parameters
() Allows for “Nested” searches
4. Search results once you have identified your list of articles you need to list them in APA reference format

5. Evaluate the results by reading the article to ensure it contains the information you need.

Parts of the research article

• Abstract – is a short description of the study’s – Participants, IV, DV, and Results

• Introduction Section Provides – Relevant background info and purpose

• Methods Section – includes detailed information about – Participants, Settings, DV, Design, Baseline and IV

• Results Section – Displays and describes the study’s findings

• Discussion Section – describes – Goal achievement, Limitations, Implications, and Future Research

Sample Solution

Topic: The Impact of Artificial Intelligence on the Future of Work

10 Peer-Reviewed Journal Articles:

  1. Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W. W. Norton & Company.  
  2. Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114, 254-280.  
  3. Arntz, M., Gregory, T., & Zierahn, U. (2016). The risk of automation for jobs in Europe: A country-specific analysis.

    European Commission.

  4. Acemoglu, D., & Restrepo, P. (2018). Artificial intelligence, automation, and work. Annual Review of Economics, 10, 655-694.
  5. Autor, D. H., Levy, F., & Murnane, R. J. (2003). The skill content of recent technological change: An empirical exploration. The Quarterly Journal of Economics, 118(4), 1279-1333.  
  6. Manyika, J., Chui, M., Bughin, J., Dobbs, R., Roxburgh, C., & Byers, A. (2017). Jobs lost, jobs gained: Workforce transitions in a time of automation. McKinsey Global Institute.
  7. Bughin, J., Manyika, J., & Chui, M. (2018). AI, automation, and the future of work. McKinsey Global Institute.
  8. Daugherty, P. R., & Wilson, J. B. (2018). Human + Machine: Reimagining Work in the Age of AI. Harvard Business Review Press.
  9. Kaplan, J., & Haenlein, M. (2019). Artificial intelligence: A review. Business Horizons, 62(1), 15-26.
  10. Floridi, L. (2019). The 4th revolution: How the intersection of reality and the virtual is reinventing humanity. Oxford University Press.

Additional Sources (Non-Peer Reviewed):

  • World Economic Forum Reports
  • McKinsey Global Institute Reports
  • Boston Consulting Group Reports
  • Government reports and policy documents
  • Industry reports and whitepapers
  • News articles and blog posts

Note: While these non-peer-reviewed sources can provide valuable insights, they should be used in conjunction with peer-reviewed literature to ensure the credibility of your research.

Remember to thoroughly evaluate each source, considering factors such as the author’s credibility, the publication’s reputation, and the relevance of the information to your research topic.

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