The figure shows the growth in the number of publications whose title includes ‘project management’ (the blue line) and ‘program management’ or ‘programme mangement’ (the red line).
Source: Google Scholar
Epistemology & isms
The Encyclopaedia Britannica defines epistemology as: “the study of the nature, origin, and limits of human knowledge. The term is derived from the Greek episteme (“knowledge”) and logos (“reason”), and accordingly the field is sometimes referred to as the theory of knowledge.”
The Encyclopaedia’s definitions for objectivism and positivism are below. Gray (2009, p18) opines that positivism is closely linked with objectivism in holding that “there is an objective reality out there. So research is about discovering this objective truth.” He contrasts these perspectives with constructivism where: “Truth and knowledge do not exist in some external world, but are created by the subject’s interactions with the world. Meaning is constructed not discovered, so subjects construct their own meanings in different ways, even in relation to the same phenomenon.” Gray links interpretivism with constructivism.
Why do we need to understand these things? Gray (2009, p18) suggests that understanding can help us to clarify issues of research design and, in particular, the overarching structure of the research including the kind of evidence that is being gathered, from where, and how it is going to be interpreted.
Definitions from Encyclopaedia Britannica
interpretivism: “A major anti-positivist stance is interpretivism, which looks for culturally derived and historically situated interpretations of the social life-world’ (Crotty, 1998: 67). There is no, direct, one-to-one relationship between ourselves (subjects) and the world (object). The world is interpreted through the classification schemas of the mind (Williams and May, 1996). In terms of epistemology, interpretivism is closely linked to constructivism. Interpretivism asserts that natural reality (and the laws of science) and social reality are different and therefore require different kinds of method. While the natural sciences are looking for consistencies in the data in order to deduce ‘laws’ (nomothetic), the social sciences often deal with the actions of the individual (ideographic). (Gray, 2009 p18) “Our interest in the social world tends to focus on exactly those aspects that are unique. individual and qualitative. whereas our interest in the natural world focuses on more abstract phenomena. that is. those exhibiting quantifiable. empirical regularities.” (Crotty. 1998: 68)
objectivism: “philosophical system identified with the thought of the 20th-century Russian-born American writer Ayn Rand …. Its principal doctrines consist of versions of metaphysical realism (the existence and nature of things in the world are independent of their being perceived or thought about), epistemological (or direct) realism (things in the world are perceived immediately or directly rather than inferred on the basis of perceptual evidence), ethical egoism (an action is morally right if it promotes the self-interest of the agent), individualism (a political system is just if it properly respects the rights and interests of the individual), and laissez-faire capitalism. Objectivism also addresses issues in aesthetics and the philosophy of love and sex. Perhaps the best-known and most-controversial aspect of objectivism is its account of the moral virtues, in particular its unconventional claim that selfishness is a virtue and altruism a vice.”
positivism: “in philosophy, generally, any system that confines itself to the data of experience and excludes a priori or metaphysical speculations. …. The basic affirmations of positivism are (1) that all knowledge regarding matters of fact is based on the “positive” data of experience, and (2) that beyond the realm of fact is that of pure logic and pure mathematics, which were already recognized by the 18th-century Scottish empiricist and skeptic David Hume as concerned with the “relations of ideas” and, in a later phase of positivism, were classified as purely formal sciences.”
References
epistemology 2012. Encyclopædia Britannica Online Library Edition. Retrieved 18 August 2012, from http://library.eb.co.uk/eb/article-9106052
GRAY, D. E. 2009. Doing research in the real world, Sage Publications Ltd.
objectivism 2012. Encyclopædia Britannica Online Library Edition. Retrieved 18 August 2012, from http://library.eb.co.uk/eb/article-9570958
positivism 2012. Encyclopædia Britannica Online Library Edition. Retrieved 18 August 2012, from http://library.eb.co.uk/eb/article-9108682
Where best to put data and your analysis of it?
Your raw data should be available for the reader to examine.
The analysis must be logically consistent. In the notes on qualitative data analysis (from the April lecture on Research Methods at WMG) Ian Pearson explains that the preliminary analysis “essentially requires the researcher to achieve three key tasks: reduce the data, structure it and, what Hussey & Hussey (1997) refer to as detextualising the data“. He then gives examples of what might be done with the output from preliminary analysis including (a) methods for converting qualitative data into quantitative data and (b) qualitative methods of data analysis. The research design chapter should explain your approach to data collection and analysis while the results and analysis chapter(s) should present the actual data and its analysis.
There should be traceability back from the findings into the raw data.
Within these constraints, you should make your line of reasoning as clear and as easy to read as possible. That requires you to make a judgement about what should be presented ‘up front’ in the line of reasoning contained in the main body of the paper and what should be ‘supporting arguments’ or ‘supporting evidence’ to that main line and put into one or more appendices.
Reference:
Pearson. I, “Qualitative Data Analysis”, 2012, http://www2.warwick.ac.uk/fac/sci/wmg/ftmsc/modules/modulelist/reme/remeapril/03a_qualitative_data_analysis_notes_-_2007.pdf, accessed 18 Aug 2012
Likert scales
Information about using Likert scales:
Explanation in Wikipedia
Why does it matter what sort of data you have?
Structures in a theoretical framework
The theoretical framework needed to explain knowledge obtained from a literature review might contain some generic structures. For example:
- I think of concepts, principles, methods and techniques as being quite closely related to each other. Ideas such as Lean Thinking or Six Sigma can be explained using these constructs.
- I also think of policy, process and practice as being closely related. They are often based on or make use of ideas which are expressed using the constructs above.
- That enables me to think of a methodology as something which packages together both of the above.
- Finally, a strategy can be based on a combination of some or all of the above to achieve a particular purpose.
Definition of grey literature
The New York Academy of Medicine tells us that the Fourth International Conference on Grey Literature in October 1999 defined grey literature as follows: “That which is produced on all levels of government, academics, business and industry in print and electronic formats, but which is not controlled by commercial publishers.” Might be worth checking up on that definition!
grounded theory
There is an online resource about grounded theory with a helpful page explaining ‘what is grounded theory‘.
Project lifespan
One of the things I tend to bang on about is that the concept of the lifecycle is key to much of what we do in systems engineering and also in programme and project management. Hence I believe it is important to distinguish between the nature of the lifecycle and that of the process. For example, this document illustrates how the engineering processes associated with system development have differing levels of activity throughout the system lifecycle. I also believe that there are many lifecycle models and that it is a mistake to over-simplify the concept because it then loses its usefulness.This document was an uncompleted attempt to make use of that point, though I scored an own goal (see my comments below) on Slide 6 by showing a typical project lifecycle as Start-up | Initiate | Execute | Close – that is of course quite the wrong way to think about it!
Others such as my friend Dennis and some of my students disagree and are not persuaded by my reasoning.They argue that all lifecycles can be distilled to the basics identified by PMI as process groups, ie:
Initiate | Plan | Execute | Close
However I have chanced upon some support for my point of view. Mounir Ajam and his colleagues have written an excellent set of articles which explain the line of reasoning with great clarity as it applies to project management. They also use the term ‘lifespan’ in preference to ‘lifecycle’, because projects generally don’t re-cycle. It makes perfect sense to me.
Four Dimensions for Measuring Project Success
Gabriel recommends reading Saunders M, Lewis P and Thornhill A: Research Methods for Business Students. 2009