Conducting a quantitative research can be sometimes

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Conducting a quantitative research can be sometimes difficult, time consuming, expensive to perform the analysis in an appropriate way. A large proportion of respondents is appropriate for the representation of the target population. So, as to achieve in-depth responses on an issue, data collection in quantitative research methodology is often too expensive as against qualitative approach. There is difficulty in data analysis, quantitative study requires extensive statistical analysis, which can be difficult to perform for researchers from non-statistical backgrounds. Quantitative research is a lot more complex for social sciences, education, anthropology and psychology. Effective response should depend on the research problem rather than just a simple yes or no response. The requirements for the successful statistical confirmation of result is very tough in a quantitative research. Hypothesis is proven with few experiments due to which there is ambiguity in the results. So, it requires extra time, investment and resources to refine the results. The results from the research have to be refined to an extent so that it is appropriate for the reader to analyze or evaluate the results based on the data presented in the report and integrate it with the human resources. [PRO18] Findings
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The main findings of the research aims of an empirical study performed within multinational HR companies with over five-hundred employees to identify the level of using the IT tools, Big Data in companies, factors on which management should make stress during the implementation of the IT tools and simultaneously find out which IT tools can be used in scope of HRM. The research is compiled by direct observation in the firms and structured interviews with fifteen HR managers. The anonymous interviews were focused on the following fields: The usage of Big Data and IT tools. Efficiency of the IT tools and Big Data usage. Management’s support of the HR information systems application. Advantages and disadvantages of IT tools and Big Data usage. Implementation of IT tools and Big Data in the human resources department. Not at all Slightly Moderately Almost Totally Very Much 0 10 20 30 40 50 60 70 Figure 3: Efficiency of IT Tools usage in % Series 1 Series 2 Series 3 The structured interview with the managers reveals that 98 % of the respondents use IT tools in human resources field. Concerning the efficiency of IT tools usage 66.7 % of respondents confirmed that IT tools help in everyday work considerably and 33.3 % of the respondents point out that IT tools support daily work moderately.
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Not at all Slightly Moderately Almost Totally Very Much 0 5 10 15 20 25 30 35 40 45 50 Figure 4: Reaching Strategic Goals using the IT tools in % Series 1 Series 2 Series 3 The results in the graph shows that 22% of the respondents confirmed reaching of the HR goals significantly by using the HR information system and 50% of respondents answered that IT tools support HR goals moderately and 25 % slightly and 3 % not at all. 0
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Christopher Reinemann
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