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IJARBM: Volume 3, Issue 1

Unbiasing Science by Using Search Engines and Structured Methods – Analyzing or Measuring Scientific Output

This paper is part of the International Journal of Applied Research in Business and Management (ISSN: 2700-8983), Volume 3, Issue 1, published in 2022.

Authors

Uwe Radtke

Abstract

Scientific prizes are designed to encourage researchers, while scientific search engines shall support a structured literature review. Both areas are designed to help scientific work. Both should work or be granted unbiased – but depending on the point of view it seems as this is hard to achieve. While prizes are often granted to certain mainly well-known Universities and countries in which the prize was originally founded, scientific search engines have hidden algorithms as well. Searching with identical search parameters will provide different results for scientific texts when using different search engines. Within the article three different ones were explored a bit and one mean to achieve a bit of unbiased usage of the sources is PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). The meta-analysis enables each reader to follow the steps and objectivize the findings.

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Suggested Citation (APA 7th)

Radtke, U. (2022). Unbiasing Science by Using Search Engines and Structured Methods – Analyzing or Measuring Scientific Output. International Journal of Applied Research in Business and Management, 3(1). https://doi.org/10.51137/ijarbm.2022.3.1.3