Analysis of Research Bias and Ethics in Cloud Computing Articles

This report provides a critical review of an article discussing the legal, ethical, and professional aspects of cloud computing research. The review highlights the importance of addressing bias, ethical issues, and data privacy within cloud computing studies. The reviewer agrees with the article's emphasis on bias as a critical challenge but suggests improvements to the introduction. The review further examines different types of biases, strategies to avoid flawed study designs, and ethical issues in conducting interviews. The absence of a strong introduction and conclusion is noted as a weakness. The reviewer emphasizes the significance of objective evaluation techniques, privacy, and confidentiality concerns. Overall, the review assesses the article's strengths in identifying key issues while pointing out areas where more detailed exploration and examples would enhance the reader's understanding. The article is well-supported by various references, further validating its claims.

ARTICLE REVIEW

The enhanced dependence on the information and other related technologies has led to the
increase in the number of studies being conducted on the same. This is a well-known fact.
The various aspects of the cloud computing technologies have been highlighted well, as in
context of the legal, ethical and professional dimensions. I agree with the fact that the
injection of bias is considered as most serious challenge in light of safety, privacy and data
sharing scenarios of modern business functions, as also accorded by Timmermans et, al,
2010. However, the introduction could have been more comprehensive so as to build a link
between the concept and the aim of the article. Thus, the introduction fails to catch the
attention of the readers.
The issue of injection of bias has been explored nicely in a clear and concise terms, with
specification of the types of the biases such as flawed study design, compliance bias, outcome
misclassification, selection bias, interviewer bias. Each of the biases have been further
explored. The strategies to avoid the flawed study design indicate the scope and expected
results. An example of the indication of the scope and how to clearly define the results would
have provided the readers with more clarity. Some other strategies that are indicated in the
article are the use of objective data sources and devising objective evaluation techniques.
However, what parameters must be taken care of in such development of techniques have not
been specified. Thus, while the article sheds light on the important aspects of the concept, the
same have not been explored in detail.
The ethical issues in the conduct of interviews have been well highlighted in the article. I
agree with the ethical issues mentioned in the article such as that of the devising objective
evaluation techniques, definition of the scope and objectives of the research, privacy and
confidentiality issues, and others (Blair, Czaja, and Blair, 2013). Yet again, these have not
been explained in detail, and are the general concerns in the use of information technologies.
An example of discrepancies in the research has been highlighted in the form of the case of
Jack Fry's Interview. The last segment of the article explores the various means that can be
employed for the efficient conduct of researches and yield maximum from the said exercise.
As per the review of the article, it can be stated that while the article brings to light the
important points, there limited evidence of research on the same. The article is well supported
by various range of references. The absence of a strong introduction and a conclusion in the
article makes it difficult for the readers to connect with the article.

References
Blair, J., Czaja, R. F. and Blair, E. A. (2013) Designing surveys: A guide to decisions and
procedures. UK: Sage Publications.
Timmermans, J., Stahl, B.C., Ikonen, V. and Bozdag, E. (2010) The ethics of cloud
computing: A conceptual review. In 2010 IEEE Second International Conference on Cloud
Computing Technology and Science, pp. 614-620.