Big Data Discussion
Though Big Data is not a new concept to IO psychologists, it has become more important due to the sheer volume of data we collect today in organizations regarding customers, processes, leaders, and employees. You may also hear talk of Data Science, Business Intelligence, Data Analytics, Machine Learning, Artificial Intelligence, or similar concepts when doing research on this topic. Though each of these areas have a different purpose, there is some overlap and they all demonstrate the impact technology continues to have on how we conduct research today.
For this discussion, please review the required readings and TedTalk video on Big Data. Please answer the following questions for your initial post:
What is Big Data and how does it apply to the research of specific topics in the workplace?
How does Big Data impact our work as IO psychologists?
What are the advantages and disadvantages to using Big Data in psychological research?
Create a list of five things that IO psychologists should consider when working with Big Data.
Utilize at least two scholarly, peer-reviewed journal articles as resources. Your post should be at least 300 words.
Christakis, N. (2010). The hidden influence of social networks [Video file.]. Retrieved from http://www.ted.com/talks/nicholas_christakis_the_hidden_influence_of_social_networks (Links to an external site.)
Chuapetcharasopon, P. (2015). HR analytics and big data through the lens of industrial/organizational psychology, Part 1. Retrieved from https://www.linkedin.com/pulse/hr-analytics-big-data-through-lens-psychology-part-i-pylin (Links to an external site.)
Etlinger, S. (2014). What do we do with all this big data? [Video file.] Retrieved from http://www.ted.com/talks/susan_etlinger_what_do_we_do_with_all_this_big_data?utm_source=tedcomshare&utm_medium=referral&utm_campaign=tedspread (Links to an external site.)
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