Using the attached paper and resources listed, identify:
1. Conclusions and Recommendations to relate back to and enlighten research problem statement. These two sections should explain what the data seem to mean: their implications, what they suggest in terms of the research problem and how that problem can be addressed or solved, how they can be interpreted, and whether alternative interpretations appear possible. This is your opportunity to discuss the importance of what youve discovered, the potential relevance of your data for implementing change, and the impact your project could potentially have on the problem and on the organization(s) or context(s) that have been the focus of your research. In addition, it is your opportunity to make specific recommendations based upon the findings: that is, concrete changes that could be implemented, policies or procedures that could be revised, behavioral or cultural shifts that should occur, structural arrangements that could be reconfigured, work processes that could be altered to improve morale or productivity, or technologies that should be replaced or updated.
It is in this section of the paper that you can express why you believe your research can have an impact on an organization, a community, an industry, a region, a society, or whatever entity you have chosen as your focus. Bear in mind, however, that your conclusions and recommendations should be closely linked to your findings; you cannot simply make wild, subjective conclusions. Nevertheless, you should have fun composing this section and displaying the relevance of your data to the research problem. In addition, you can link your conclusions and recommendations back to what you explored in your literature review, perhaps indicating how your findings add appreciably to the extant literature and how they may provide an avenue for further study.
2. Limitations- consider how any flaws in your study might have impacted the findings. As noted earlier, all research has flaws. Your paper is not graded on having flaws but rather on your ability to identify these flaws and consider the consequences. For example, it could discuss:
- The limited scope of the research. Perhaps you have looked at just one unit in an organization or one organization within an industry. In this case, generalizing results beyond this unit or organization may be highly problematic.
- Limited sample size (if in fact it is limited, thus making generalizations to larger populations highly problematic) or limited sample breadth (meaning, for example, that you only included one group or kind of employees in an organization).
- Possible personal bias. For example, you work in the organization, so your objectivity is questionable or you are familiar with the products or services and have a strong perspective on them.
- Limited data collection strategies (possibly because of time constraints or financial constraints).
- Limited data analysis strategies (possibly because of time constraints or lack of knowledge of alternative strategies).
- Possible lack of reliability or validity in the research.
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