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Lack of available and/or reliable data Lack of prior research studies on the topic Before assuming this to be true, though, consult with a librarian! Measure used to collect the data Self-reported data selective memory telescoping attribution exaggeration Access Longitudinal effects Cultural and other type of bias Fluency in a language

Information about the limitations of your study are generally placed either at the beginning of the discussion section of your paper so the reader knows and understands the limitations before reading the rest of your analysis of the findings, or, the limitations are outlined at the conclusion of the discussion section as an acknowledgement of the need for further study. Statements about a study's limitations should not be buried in the body [middle] of the discussion section unless a limitation is specific to something covered in that part of the paper. If this is the case, though, the limitation should be reiterated at the conclusion of the section.

, such as, an inability to acquire critical data, consider reframing it as an exploratory study intended to lay the groundwork for a more complete research study in the future. Be sure, though, to specifically explain the ways that these flaws can be successfully overcome in a new study.

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. If serious limitations exist, it generally indicates a likelihood that your research problem is too narrowly defined or that the issue or event under study is too recent and, thus, very little research has been written about it. If serious limitations do emerge, consult with your professor about possible ways to overcome them or how to revise your study.

[for example, you didn't interview a group of people that you later wish you had]. If this is the case, don't panic. Acknowledge it, and explain how applying a different or more robust methodology might address the research problem more effectively in a future study. A underlying goal of scholarly research is not only to show what works, but to demonstrate what doesn't work or what needs further clarification.

Aguinis, Hermam and Jeffrey R. Edwards. “Methodological Wishes for the Next Decade and How to Make Wishes Come True.” 51 (January 2014): 143-174; Brutus, Stéphane et al. "Self-Reported Limitations and Future Directions in Scholarly Reports: Analysis and Recommendations." 39 (January 2013): 48-75; Ioannidis, John P.A. "Limitations are not Properly Acknowledged in the Scientific Literature." 60 (2007): 324-329; Pasek, Josh. Writing the Empirical Social Science Research Paper: A Guide for the Perplexed . January 24, 2012.; Pick A Best Online Cheap Comfortable Roberto Cavalli Silk FlounceTrimmed Dress RswEU
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. The Writing Lab and The OWL. Purdue University.

After all the hard work and long hours devoted to writing your research paper, it is easy to get carried away with attributing unwarranted importance to what you’ve done. We all want our academic work to be viewed as excellent and worthy of a good grade, but it is important that you understand and openly acknowledge the limitations of your study. Inflating the importance of your study's findings could be perceived by your readers as an attempt hide its flaws or encourage a biased interpretation of the results. A small measure of humility goes a long way!

Negative Results are Not a Limitation!

Negative evidence refers to findings that unexpectedly challenge rather than support your hypothesis. If you didn't get the results you anticipated, it may mean your hypothesis was incorrect and needs to be reformulated. Or, perhaps you have stumbled onto something unexpected that warrants further study. Moreover, the absence of an effect may be very telling in many situations, particularly in experimental research designs. In any case, your results may very well be of importance to others even though they did not support your hypothesis. Do not fall into the trap of thinking that results contrary to what you expected is a limitation to your study. If you carried out the research well, they are simply your results and only require additional interpretation.

Lewis, George H. and Jonathan F. Lewis. “The Dog in the Night-Time: Negative Evidence in Social Research.” 31 (December 1980): 544-558.

A Note about Sample Size Limitations in Qualitative Research

Sample sizes are typically smaller in qualitative research because, as the study goes on, acquiring more data does not necessarily lead to more information. This is because one occurrence of a piece of data, or a code, is all that is necessary to ensure that it becomes part of the analysis framework. However, it remains true that sample sizes that are too small cannot adequately support claims of having achieved valid conclusions and sample sizes that are too large do not permit the deep, naturalistic, and inductive analysis that defines qualitative inquiry. Determining adequate sample size in qualitative research is ultimately a matter of judgment and experience in evaluating the quality of the information collected against the uses to which it will be applied and the particular research method and purposeful sampling strategy employed. If the sample size is found to be a limitation, it may reflect your judgment about the methodological technique chosen [e.g., single life history study versus focus group interviews] rather than the number of respondents used.

Huberman, A. Michael and Matthew B. Miles. "Data Management and Analysis Methods." In . Norman K. Denzin and Yvonna S. Lincoln, eds. (Thousand Oaks, CA: Sage, 1994), pp. 428-444.


An IT strategy has become a critical element for organizational leadership in recent decades. Its growing importance mirrors the rise of technology itself as a critical element for business success. The importance of an IT strategy has been amplified over the past few years as organizations focus on digital transformation and thriving in the digital age. Technology is essential for creating new business models , products and services; enhancing customer service as well as customer experiences; increasing sales; enabling workers and improving productivity; and supporting interactions with vendors and other business partners.

As such, organizations must formulate a technology strategy to accomplish those things as well as compete against others with the same objectives.

Some organizations, particularly platform companies and other businesses whose entire product is based on technology offerings, may decide to forgo a separate IT strategy. Instead, these organizations may (and, in some cases, already are) fold IT strategies into the overall business strategy to create a single unified document.

Just as there are varying models for the document itself, there are multiple ways to approach the creation of an IT strategy. Still, commonalities exist, such as an initial review of the organization's existing strategic IT plan and related documents.

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A CEO explains the two-speed approach to IT strategy.

This step should be followed by an assessment of how the organization is meeting established objectives, milestones, benchmarks and relevant key performance indicators . This assessment should identify the technology currently in use and the gaps that exist between these current IT operations and the objectives and strategic goals outlined in the ongoing strategic plans.

Senior IT leaders then need to collaborate with their business-side counterparts to further develop the IT strategy. They should also seek out other resources, such as research reports, to understand the business and technology trends that will impact their organization's market.

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