Research, Research, Research Understanding the Basics Jim Yonazi, Ph. D The Center for ICT Research and Innovations – C i RI

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Presentation transcript:

Research, Research, Research Understanding the Basics Jim Yonazi, Ph. D The Center for ICT Research and Innovations – C i RI

The Flow ›Introduction ›Research

Introduction Knowing each other

Research Basics ›But What us Research? -How your pages are set up -It means creating some new knowledge -Lets have an example

Everyday Versus good Research ›Everyday thinking is often characterized by Poor data Incomplete data Hasty thinking ›Academic research us is often characterized by Sufficient Data sources Appropriate data sources Accurately recorded Properly analyses No hidden assumptions Conclusions well founded Properly presented

Approaching research: deduction vs Induction ›Deduction Starts with hypotheses then data then conclusions No new theory is produced, but modified ›Induction starts with data, then theory a new theory is produced

The general framework Identify a Problem Gather data Analyze data Interpret Data Draw Conclusion

Approaching research: deduction Hypothesis 1 Central Issue Data Collection Data Analysis Hypothesis 2 Hypothesis n Initial Research Model Hypothesis 1 Central Issue Hypothesis 3 Hypothesis n Modified Research Model

Approaching research: Induction Data Collection Data Analysis New theory Hypothesis 1 Central Issue Hypothesis 2 Hypothesis n

Research vs ICT development project ›You can do a research on ICT (e.g. software) development ›You need to have a justified scientific reason as to why you are conducting the research ›You can develop a software ›You need to have a justified reason as to why the software is the most relevant solution

Approach in Information systems ›The Design Science approach Design Relevance Rigor

Approach in Information systems Figure 1 ‑ 1: Design science Research Circles (Source: Hevner, 2007)

11/18/2015 | 13 Conversations?

Thinking of Data Analysis that matters

What is data Analysis ›Evaluating ›Validating ›Interpreting ›Reporting

Could be Quantitative and Qualitative ›Quantitative Use numerical analysis and inferences to extract meanings ›Qualitative Use narratives, graphics etc interpretations to extract meanings

Example of quantitative

Example of qualitative

References ›Hevner, A. R., 2007, ‘A three Cycle view of Design Science Research’, Scandinavian Journal of Information Systems, Vol. 19, Issue. 2, pp

11/18/2015 | 20 Thank you…!