Exam 6: HR Metrics Analystics
Exam 1: Electronicdigital HRM: A Primer33 Questions
Exam 2: Strategic Management Approach to Technology-Enabled HRM14 Questions
Exam 3: Soft Systems Thinking Approach to E-HRM Project Management34 Questions
Exam 4: Agile Approach to E-HRM Project Management14 Questions
Exam 5: Big Data E-HRM14 Questions
Exam 6: HR Metrics Analystics33 Questions
Exam 7: Cloud Computing E-HRM34 Questions
Exam 8: Social Media E-HRM35 Questions
Exam 9: Gamification E-HRM15 Questions
Exam 10: E-Talent Management14 Questions
Exam 11: E-Recruitment Selection21 Questions
Exam 12: E-Performance Reward Management13 Questions
Exam 13: E-Learning Development15 Questions
Exam 14: Strategic Evaluation of E-HRM15 Questions
Exam 15: Information Security Privacy in E-HRM14 Questions
Exam 16: Future Directions of Electronicdigital HRM15 Questions
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What is Predictive HR analytics?
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(Essay)
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o "Predictive HR analytics" is: the systematic application of predictive modelling using inferential statistics to existing HR people related data in order to inform judgments about possible causal factors driving key HR-related performance indicators."…"then apply these predictive models to make tangible predictions about particular results or outcomes (e.g. employee or organizational behavior) that we might expect to find given certain conditions" (Edwards and Edwards, 2016, p.2)
There are many different statistical software packages that can be used for HR analytics modelling. The use of these packages is only useful if the analyst has _________ capabilities.
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A
A key interest in whether there is any evidence of any bias in various stages of the employee lifecycle starting with recruitment process is relevant to which 'analytic project'?
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B
___________ involves conducting data analysis that explores datasets to get the best possible combinations of variables and identify the best possible predictive model that "accounts" for the highest level of the variation on any particular dependent variable.
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Selective investments in a particular group of staff members may lead to __________ concerns.
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___________ analytics is the 'systematic application of predictive modelling using inferential statistics to existing data to make tangible predictions about outcomes'
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Selective investments in a particular group of staff members may lead to __________ concerns.
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One of the reasons why HR has been slow to harness the potential of analytics is
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Predictive models are based on the identification of patterns and trends from historical data. If the data analysed is linked to problematic historical behaviour built on potentially bias or discriminatory managerial decisions, then the application of an algorithm from this data may only serve to propagate _______________.
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An analyst might want to focus on job specific and context specific indices during which 'analytic project'?
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Specifically looking at assessment centre selection data and whether it predicts performance is …
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One of the reasons why HR has been slow to harness the potential of analytics is
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__________ as a key activity is an important analytic project that organisations undertake to ensure that the right people are in the right place at the right time.
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What are the two "go-to" analytics projects most HR analytics teams will take on?
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