research, research, research understanding the basics jim yonazi, ph. d the center for ict research...

Research, Research, ResearchResearch, Research, Research

Understanding the BasicsUnderstanding the Basics

Jim Yonazi, Ph. DThe Center for ICT Research and Innovations – CiRI

yonazijim@gmail.com, yonaz@ifm.ac.tz

The Flow

› Introduction› Research› Research› 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 IssueHypothesis 3

Hypothesis n

Modified Research Model

Approaching research: Induction

Data Collection

Data Analysis

New theory

Hypothesis 1

Central IssueHypothesis 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

DesignRelevance Rigor

Approach in Information systems

Figure 1‑1: Design science Research Circles (Source: Hevner, 2007)

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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. 87-92

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Thank you…!