Literature Survey, Literature Comprehension, & Literature Review

1. Literature Survey, Literature Comprehension, & Literature Review

2. Thesis Structure Chapter 1. Introduction

3. Thesis Structure Chapter 1. Introduction Chapter 2. Literature Review

4. Thesis Structure Chapter 1. Introduction Chapter 2. Literature Review Chapter 3. Design

5. Thesis Structure Chapter 1. Introduction Chapter 2. Literature Review Chapter 3. Design Chapter 4. Development

6. Thesis Structure Chapter 1. Introduction Chapter 2. Literature Review Chapter 5. Evaluation Chapter 3. Design Chapter 4. Development

7. Thesis Structure Chapter 1. Introduction Chapter 6. Conclusions and Future Work Chapter 2. Literature Review Chapter 5. Evaluation Chapter 3. Design Chapter 4. Development

8. 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.

9. Thesis Structure Chapter 1. Introduction Chapter 6. Conclusions and Future Work Chapter 2. Literature Review Chapter 5. Evaluation Chapter 3. Design Chapter 4. Development

10. 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

11. 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.

12. Introduction to Literature

13. 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.

14. 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

15. Introduction ...in other words...

16. Introduction ...the literature review...

17. Introduction ...is really, really important.

18. 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.

19. Examples • Let’s look at three examples • Knowledge Management • Information Technology • Assistive Technology

20. 2D Analysis Breadth of Research Depth of Research

21. 2D Analysis Breadth of Research

22. Knowledge Management Example Knowledge Management

23. Knowledge Management Example Knowledge Management Knowledge Maps Knowledge Sharing Agile Methods Web 2.0 Elicitation Decision Support

24. Knowledge Management Example Knowledge Management Knowledge Maps Knowledge Sharing Agile Methods Web 2.0 Elicitation Decision Support Breadth of Domain

25. 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

26. Knowledge Management Example Knowledge Management Probst Nonaka Bhatt Ruggles Davenport Eppler Wiig Prusak Gurteen

27. 2D Analysis Breadth of Research Depth of Research

28. Knowledge Management Example Knowledge Management Web 2.0

29. Knowledge Management Example Knowledge Management Probst Nonaka Bhatt Ruggles Davenport Eppler Wiig Prusak Gurteen Web 2.0

30. Knowledge Management Example Knowledge Management Probst Nonaka Bhatt Ruggles Davenport Eppler Wiig Prusak Gurteen O’Reilly McAfee Miller Web 2.0 Eggers Knorr Grossman

31. Knowledge Management Example Knowledge Management Web 2.0

32. Knowledge Management Example Knowledge Management Knowledge Sharing

33. Knowledge Management Example Knowledge Management Knowledge Maps

34. Knowledge Management Example Knowledge Management Elicitation

35. Knowledge Management Example Knowledge Management Agile Methods

36. Knowledge Management Example Knowledge Management Decision Support

37. Knowledge Management Example Knowledge Management Knowledge Maps Decision Support Knowledge Sharing Agile Methods Web 2.0 Elicitation

38. 2D Analysis Breadth of Research

39. Information Technology Example Information Technology

40. Information Technology Example Information Technology Image Synthesis Computer Architecture Networks Databases Assistive Technology Agent Development

41. Information Technology Example Information Technology Image Synthesis Computer Architecture Networks Databases Assistive Technology Agent Development Breadth of Domain

42. 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

43. Information Technology Example Information Technology Knuth Wirth Naur Hoare von Neumann Dijkstra Turing Moore Boehm

44. Information Technology Example Information Technology Databases

45. Information Technology Example Information Technology Knuth Wirth Naur Hoare von Neumann Dijkstra Turing Moore Boehm Databases

46. Information Technology Example Information Technology Knuth Wirth Naur Hoare von Neumann Dijkstra Turing Moore Boehm Date Codd Gray Databases Boyce Pipes Epstein

47. Information Technology Example Information Technology Databases

48. Information Technology Example Information Technology Image Synthesis

49. Information Technology Example Information Technology Networks

50. Information Technology Example Information Technology Agent Development