2.6 Factors Influencing And Improving Knowledge Sharing

2.6 Factors influencing and improving knowledge sharing in organizations

(Nonka and Takeuchi, 1995) discussed the importance of managing knowledge effectively, sharing knowledge is being identified as a valuable key of competitive advantage (Hall and Sapsed ,2005).sharing of knowledge enables the organization can enhance and increase its performance, gain competitive advantage and also helps the employees to gain more knowledge as they share. Team based rewards contributes in improving sharing knowledge within team members is the organizations (Bartol & Srivastava, 2002).Yusof and Ismail (2008) and Alam, Abdullah,Ishak and Zain (2009) specified factors that could influence individual readiness for knowledge sharing which range from physical

This method is used to gather numerical data and establish it across groups of people. With quantitative methods like questionnaires the participants will be asked identical questions in the same order and their response will be closed ended. Quantitative research is about collecting numeric data, making observations and measurements of phenomena which can be subjected to statistical analysis, repeated and replicated by the same or other researchers under similar conditions (Hancock,2002;Hamilton,2003). With Quantitative research methods statistical reliable data can be produced and this helps to identify how many people do something, it is also helpful when dealing with standard survey or large scale needs assessment. Numerical data collection methods used for conducting quantitative research is survey which uses questionnaire. The quantitative approach questions has limited set of answers, the results can be compared and analysed statistically (Warwick and Lininger , 1975; Patton ,1986). Quantitative research method has advantages and disadvantages which are as follow:

1. Advantages :

• Large amount of data can be collected with a short period of time.

• The results of quantitative method can be very quick.

• The results are numeric.

• A clear quantitative measure can be

The advantages and disadvantages are listed on the figure 11 below.

Figure 11: Disadvantages and advantages of various data collection techniques(Kongmany Chaleunvong & Vientiane, 2009)

3.7 Data analysis

Data analysis is a process of assessing and inspecting data using analytical and logical intellectual with the aim of discovering useful information provided which will then help in making proper decisions. When the respondents are done answering the questionnaire, data will be analysed through reading the responses from the respondents and do comparisons.

Data will be examined and analysed according to the outcomes and findings collected through questionnaires. The results and findings will be presented in a tabular form.

Questionnaires are sent to participants who will be involved in the study. Participants involved in the study are 35 in number. Participants are listed in a table