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Sumaiya Khatun
Jan 22, 2022
In Welcome to the Forum
What All Of This Means For You IT managers employee data who want to both build and maintain the best IT team possible are going to have to learn to overcome some of the gut-based decisions that they've been relying on in the past. A better solution is needed. The arrival of big data and its associated analytical functions is for the first time allowing the employee data field of human resource management to have a rigorous scientific method applied to it. A lot of the things that we IT managers have always assumed to be true are now turning out to be employee data incorrect. Over at Google they used to try to hire the best and the brightest college graduates based on their SAT and grade point average scores. Having conducted numerous surveys of their employees, what employee data they've discovered is that having a sense of innovation is much more important to a Google employee's long term success. As IT managers we need employee data to take the time to collect all of the data that we can on our IT team members. Hidden within this data are the answers to the questions that we should be asking about who we should hire and how we can keep our best workers. Take the time to collect the big data, and you just might be surprised what you employee data discover! Identify the research question. In this second employee data step the scientist, drawing on information from the literature review, narrows and defines the research topic. It is important to be specific when identifying the research question in order to keep the study manageable and choose the right design (see next step). For employee research, this employee data step involves choosing the specific topics to be explored in the study such as employee perceptions of organizational climate, communication, productivity and job satisfaction, to name a few. 3. Design the study. Scientists have numerous research methodologies at their disposal. A scientist chooses the employee data research design best suited for the research question being explored.
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Sumaiya Khatun

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