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Literature Survey, Literature Comprehension, & Literature Review. Thesis Structure. Chapter 1. Introduction. Thesis Structure. Chapter 1. Introduction. Chapter 2. Literature Review. Thesis Structure. Chapter 1. Introduction. Chapter 2. Literature Review. Chapter 3. Design.
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Literature Survey, Literature Comprehension, & Literature Review
Thesis Structure Chapter 1. Introduction
Thesis Structure Chapter 1. Introduction Chapter 2. Literature Review
Thesis Structure Chapter 1. Introduction Chapter 2. Literature Review Chapter 3. Design
Thesis Structure Chapter 1. Introduction Chapter 2. Literature Review Chapter 3. Design Chapter 4. Development
Thesis Structure Chapter 1. Introduction Chapter 2. Literature Review Chapter 5. Evaluation Chapter 3. Design Chapter 4. Development
Thesis Structure Chapter 1. Introduction Chapter 6. Conclusions and Future Work Chapter 2. Literature Review Chapter 5. Evaluation Chapter 3. Design Chapter 4. Development
Thesis Structure • Consider these as “logical chapters”, that is to say they might represent a number of physical chapters or a single section • For example, “Chapter 2”, the Literature Review chapter might consist of a chapter on Knowledge Management, a separate chapter on Knowledge Elicitation • Or for example, “Chapter 5”, the Evaluation Chapter might just exist as a section in the Conclusions and Future Work chapter.
Thesis Structure Chapter 1. Introduction Chapter 6. Conclusions and Future Work Chapter 2. Literature Review Chapter 5. Evaluation Chapter 3. Design Chapter 4. Development
Mirroring of Chapters Chapter 1. Introduction Chapter 6. Conclusions and Future Work Chapter 2. Literature Review Chapter 5. Evaluation Chapter 3. Design Chapter 4. Development
Mirroring of Chapters • All of the main points raised in the Introduction chapter should be addressed in the Conclusions chapter. • All of the main sections in the Research Method (or Design) chapter should appear in the Data Analysis (or Experiment) chapter. • All of the main sections in the Literature Review chapter should be re-discussed in the Data Findings (or Reflections) chapter.
Introduction • Finding out what is happening in your area of research is a vital step along your journey to discovery, to find and understand how leading researchers in your field have tackled similar problems and the results they obtained, shortcomings they observed and methodologies they employed are the goals of the literature review process.
Introduction • Additionally the literature reviews serves other purposes; • It shares the reader with other studies closely related to your work • It relates your work to the larger, ongoing dialogue in the literature • It shows how your study is filling in gaps and extending prior studies. • It provides a framework for establishing the importance of your study • It provides a benchmark for comparing the results of your study with other findings
Introduction ...in other words...
Introduction ...the literature review...
Introduction ...is really, really important.
2D Analysis • The objective of this process is to systematically analyse the existing research and classify it in one of two dimensions. • The breadth of the review is concerned with ‘setting the scene’, in terms of describing the foundational research in this particular domain, there will be research mentioned from each of the areas you have included in your spider diagram. • The depth of the research concerns itself with the particular topic work that your research will be built upon. There should be approximately the same number of research papers covered in the depth and breath of the research review.
Examples • Let’s look at three examples • Knowledge Management • Information Technology • Assistive Technology
2D Analysis Breadth of Research Depth of Research
2D Analysis Breadth of Research
Knowledge Management Example Knowledge Management
Knowledge Management Example Knowledge Management Knowledge Maps Knowledge Sharing Agile Methods Web 2.0 Elicitation Decision Support
Knowledge Management Example Knowledge Management Knowledge Maps Knowledge Sharing Agile Methods Web 2.0 Elicitation Decision Support Breadth of Domain
Knowledge Management Example Knowledge Management Knowledge Maps Knowledge Sharing Agile Methods Web 2.0 Elicitation Decision Support Breadth of Domain Indicate your awareness of the broader field, and you know where your specific topic fits into the domain
Knowledge Management Example Knowledge Management Probst Nonaka Bhatt Ruggles Davenport Eppler Wiig Prusak Gurteen
2D Analysis Breadth of Research Depth of Research
Knowledge Management Example Knowledge Management Web 2.0
Knowledge Management Example Knowledge Management Probst Nonaka Bhatt Ruggles Davenport Eppler Wiig Prusak Gurteen Web 2.0
Knowledge Management Example Knowledge Management Probst Nonaka Bhatt Ruggles Davenport Eppler Wiig Prusak Gurteen O’Reilly McAfee Miller Web 2.0 Eggers Knorr Grossman
Knowledge Management Example Knowledge Management Web 2.0
Knowledge Management Example Knowledge Management Knowledge Sharing
Knowledge Management Example Knowledge Management Knowledge Maps
Knowledge Management Example Knowledge Management Elicitation
Knowledge Management Example Knowledge Management Agile Methods
Knowledge Management Example Knowledge Management Decision Support
Knowledge Management Example Knowledge Management Knowledge Maps Decision Support Knowledge Sharing Agile Methods Web 2.0 Elicitation
2D Analysis Breadth of Research
Information Technology Example Information Technology
Information Technology Example Information Technology Image Synthesis Computer Architecture Networks Databases Assistive Technology Agent Development
Information Technology Example Information Technology Image Synthesis Computer Architecture Networks Databases Assistive Technology Agent Development Breadth of Domain
Information Technology Example Information Technology Image Synthesis Computer Architecture Networks Databases Assistive Technology Agent Development Breadth of Domain Indicate your awareness of the broader field, and you know where your specific topic fits into the domain
Information Technology Example Information Technology Knuth Wirth Naur Hoare von Neumann Dijkstra Turing Moore Boehm
Information Technology Example Information Technology Databases
Information Technology Example Information Technology Knuth Wirth Naur Hoare von Neumann Dijkstra Turing Moore Boehm Databases
Information Technology Example Information Technology Knuth Wirth Naur Hoare von Neumann Dijkstra Turing Moore Boehm Date Codd Gray Databases Boyce Pipes Epstein
Information Technology Example Information Technology Databases
Information Technology Example Information Technology Image Synthesis
Information Technology Example Information Technology Networks
Information Technology Example Information Technology Agent Development