Building understanding of the data science revolution and I-O psychology

Big Data at Work: The Data Science Revolution and Organizational Psychology

Volumn , Issue , 2016, Pages 1-15

  King, Eden B ^a   Tonidandel, Scott ^b   Cortina, Jose M ^a   Fink, Alexis A ^c  

^a GEORGE MASON UNIVERSITY   (United States)

^b UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE   (United States)

^c NONE

Author keywords

[No Author keywords available]

Indexed keywords

SCIENCE REVOLUTION;

EID: 84960478282     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4324/9781315780504     Document Type: Chapter

References (18)

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3. Cortina, J. M., & Landis, R. S. (2008). When small effect sizes tell a big story, and when large effect sizes don’t. In C. E. Lance & R. J. Vandenberg (Eds.), Statistical and Methodological Myths and Urban Legends: Received Doctrine, Verity, and Fable in the Organizational and Social Sciences (pp. 287-308). Malwah, NJ: Erlbaum.
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9. Kim, T., McFee, E., Olguin, D. O., Waber, B., & Pentland, A. (2012). Sociometric badges: Using sensor technology to capture new forms of collaboration. Journal of Organizational Behavior, 33(3), 412-427.
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12. Lohr, S. (2013, April 20). Big data, trying to build better workers. The New York Times.
13. Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburg, C., & Byers, A. H. (2011). Big data: The next frontier for innovation and productivity. McKinsey Global Institute. Retrieved from http://www.mckinsey.com/insights/business_technology/big_data_the_next_frontier_for_innovation
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15. Schumpeter (July 19, 2014). Little things mean a lot: Businesses should aim for lots of small wins from ‘big data’ that add up to something big. The Economist.
16. Shockley, K. M., & Allen, T. D. (2013). Episodic work-family conflict, cardiovascular indicators, and social support: An experience sampling approach. Journal of Occupational Health Psychology, 18(3), 262-275.
17. Shreve, M., Godavarthy, S., Goldgof, D., & Sarkar, S. (2011). Macro- and micro-expression spotting in long videos using spatio-temporal strain. In Automatic Face & Gesture Recognition and Workshops (FG 2011), 2011 IEEE International Conference 51-56.
18. Tripathi, P., & Burleson, W. (2012). Predicting creativity in the wild: experience sample and sociometric modeling of teams. In Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work, 1203-1212. Retrieved from http://dl.acm.org/citation.cfm?id=2145204This page intentionally left blank