All entries for April 2011

April 22, 2011

Qualitative & Quantitative analysis

Empirical research: data (numbers-quantitative, not numbers-qualitative)

Quantitative emprical research: data as numbers, Qualitative empirical research: data as (mostly) words

Questions -> methods, Research questions -> Research methods

Qualitative: All research ultimately has  a qualitative grounding - Donald Campbell.

                  The aim is a complete, detailed description.

                  Researcher may only know roughly in advance what he/she is looking for

                  Recommended during ealier phases of research projects.

                  The design emerges as the study unfolds.

                  Research is the data gathering instrument.

                  Data is in the form of words, pictures of objects.

                  Subjective- individuals' interpretation of events is important.

                 Qualitative data is more rich, time consuming, and less able to be generalized.

                 Researcher tends to become subjectively immersed in the subject matter.

Quantitative: There's no such thing as qualitative data everything is either 1 or 0

                    The aim is to classify features, count them, and construct statistical models in an attempt to explain

                    what is observed.

                    Researcher knows clearly in advance what he/she is looking for.

                    Recommended during latter phases of research projects.

                    All aspects of the study are carefully designed before data is collected.

                    Researcher uses tools, such as questionnaires or equipment to collect numerical data.

                    Data is in the form of numbers and statistics.

                    Objective seeks precise measurement & analysis of target concepts.

                    Quantitative data is more efficient, able to test hypotheses, but may miss contextual detail.

                    Researcher tends to remain objectively seperated from the subject matter.

The scientific method in the social sciences

Theory (to explain the data) <-> Data (to build theory)

Neill, J. (2007). Qualitative versus Quantitative Research: Key points in a classic debate.

from http://wilderdom.com/research/QualitativeVersusQuantitativeResearch.html

Punch, K. (2005).  Introduction to social research: quantitative and qualitative approaches. London: SAGE.


April 07, 2011

K & A Management process

Figuring out every condition, in the final stage, people need to have and show their creativity. In our virtual project, as a team consultants suggested effective ideas for the improvement of asset and knowledge magagement. This requires innovative solutions and thus depends on the ability of consultants. Because there are not definate answers for problems, the capability is a critical point in our project. Through these processes, I feel why a job; consultant is attractive and MBE courses are so helpful in executing consulting in our whole course. In WaveRiders, since we make their assumption about conditions and situations, it was not that hard to find solutions, but in reality they might be far more complicated. In terms of it, we also be proactive to prepare for unexpected events that hardly happen and every possibility. I got job fair about theconsutant about two weeks ago, and found much similiarities between what we are doing in our course and what they explained, and thus will be able to cope with them well, even though the task is extremely hard.


April 06, 2011

Knowledge in an organization

Knowldege is a very so broad term that we cannot easily define. Compared to asset aspects, there are much more kinds of them, so in organization people have to consider their uniqueness and specific features. In terms of knowledge, communication and culture would affect substantially. No matter how excellent knowledge and information the comapny owns, if they are shared evenly, it would be meaningless. Definately if they share everything, there is possibility of some guys stealing information for their competitiors, so proper allocation is important. In cultural aspects, as organizations are afraid of changes, they want to keep continuing their cultures, which could be the other barrier. Most modernized companies might contain those kind system to adapt change for knowledge. The more conventional and smaller the size of companies are, the more difficult they change them. In my country, even some multinational companies are old-fashioned in some part, the condition is not appropriate. I am afraid if I have such difficulties when I get my job in the future. Such information of market analysis in Europe could be similar, in organizations, the culture is unique even if companies are in the same field. Because culture is very sensitive, it also has considerable effect.


April 04, 2011

Errors

As analysisng errors aroud us, we could find them in the stages of gathering, interpreting information and anticipation stage. There were some cases that accidents happened from errors. It is hard and define to find errors in stages we are working. Individually, when making them unconsciously to the final stage, it would result in horrible outcomes. For example, when working on PMA of our modules, if one is working on them, after reading the question wrongly and find errors when making conclusion just before deadline, it is so tough decide to redo or submit. In this case "information not observed" could be applied in this case. This is one of the most usual example around us. Furthermore, the kinds of error are inter-related each other, so in this analysis I think the best way is to apdapt as many as we can in errors to prevent them.


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