Organizational Knowledge Capital Management And Measurement Practices In Ghanaian Enterprises

Cronbach’s Alpha and Internal Consistency

This analysis has been conducted to understand regarding the organizational Knowledge Capital Management and the measurement practices among the Ghanian Enterprises by assessing the methods of Knowledge Capital Management and Measurement. This analysis is a quantitative analysis where the data has been collected by making a survey to the firms which are registered locally and are operating in the capital city, Accra which is the capital city of Ghana. The questions thus formed is to understand whether there the acquisition of organizational knowledge capital by Ghanian business organizations improves the organizational productivity. The second question is that whether there is correlation between the volume of knowledge acquired by Ghanaian enterprises and organizational productivity. And the last hypothesis that will be tested is whether there is a relationship between Ghanaian enterprises organizational knowledge asset map and their organizational focus.

Cronbach’ Alpha is one of the most widely used tool to test the internal consistency of the variables. As per the author the value of the alpha value should be equal or greater than 0.7 such that the internal consistency is maintained which can be also termed as reliability of the variables.

1. To check the reliability of the answers of respondents for the question being asked which is the degree of which the organizational knowledge is based on the factors which are asked. 

The final reliability statistics as it stands the Cronbach’s Alpha ranged from 0.766 for capacity to store/ preserve to 0.798 for, which indicates that the data is reliable as the value is greater than 0.70. For which the internal consistency of the variable also all the variables are highly reliable, the final test can be done.

1. To check the reliability of the answers of respondents for the question being asked which is the degree of which the organizational goals is based on the factors which are asked.

The final reliability statistics as it stands the Cronbach’s Alpha ranged from 0.934 for capacity to store/ preserve to 0.942 for, which indicates that the data is highly reliable as the value is much greater than 0.70. For which the internal consistency of the variable also all the variables are highly reliable, the final test can be done.

1. To check the reliability of the answers of respondents for the question being asked which is the degree of which the organizational Knowledge Assets is based on the factors which are asked.

The final reliability statistics as it stands the Cronbach’s Alpha ranged from 0.843 for efforts to acquire knowledge to 0.864 for routine and practices, which indicates that the data is highly reliable as the value is much greater than 0.70. For which the internal consistency of the variable also all the variables are highly reliable, the final test can be done.

1. To check the reliability of the answers of respondents for the question being asked which is the degree of which the organizational Focus is based on the factors which are asked.

The final reliability statistics as it stands the Cronbach’s Alpha ranged from 0.53 for volume of assigned tasks to 0.869 for Number of innovative products/ services by the asset, which indicates that the data is highly reliable as the value is much greater than 0.70. For which the internal consistency of the variable also all the variables are highly reliable, the final test can be done (Melchers, & Beck, 2018).

Descriptive statistics is used to understand the basic understanding about the data variable that is being selected what is the data all about by using basic statistics functions. Before conducting any analysis always it is better to look into the data using descriptive statistics as most of the analysis are conducted looking into the value of the descriptive  analysis.

Final Reliability Statistics for Knowledge Capital Measurement

Organizational knowledge

The descriptive statistics has been conducted for organizational knowledge questions after conducting the reliability analysis. The descriptive statistics consists of minimum, maximum, standard deviation, variance, skewness with standard error (Kaur, Stoltzfus, & Yellapu, 2018).

Organizational Goals 

The descriptive statistics has been conducted for Organizational goals questions after conducting the reliability analysis. The descriptive statistics consists of minimum, maximum, standard deviation, variance, skewness with standard error.

Organizational Knowledge Assets 

The descriptive statistics has been conducted for Organizational Knowledge assets questions after conducting the reliability analysis. The descriptive statistics consists of minimum, maximum, standard deviation, variance, skewness with standard error.

Organizational Focus

The descriptive statistics has been conducted for Organizational focus questions after conducting the reliability analysis. The descriptive statistics consists of minimum, maximum, standard deviation, variance, skewness with standard error.

Three hypothesis testing will be conducted to make analysis for the research paper and come to some conclusions from this.

Hypothesis 1

HP1₁: Acquisition of organizational knowledge capital by Ghanaian business organizations improves organizational productivity.

HP1₀. Acquisition of organizational knowledge capital by Ghanaian business organizations does not improve organizational productivity (Kruschke & Liddell, 2018).

To do a hypothesis testing regression analysis is been considered.

The r squared value is found to 0.314 which indicates that 31.4% of the values of the independent variable which is organizational Knowledge capital indicates the values of the dependent variable organizational productivity. 

The significance F value is found to be 0.000 which is less than 0.05. 

Here the dependent variable considered is organizational knowledge improving productivity. The independent variables are organizational goals, volume of knowledge and acquisition of knowledge. The significance p value of volume of knowledge which is 0.022 and acquisition of knowledge which is 0.000 is less than 0.05 for 95% confidence level and the significance F is also less than 0.05. The significance p value of organizational goals is 0.716 which is greater than 0.05. Thus, the null hypothesis is rejected for volume of knowledge and acquisition of knowledge and alternate hypothesis is accepted. But for organizational goals the null hypothesis cannot be rejected as the p value is greater than 0.05 and alternate hypothesis is not accepted. Thus, it can be concluded that volume of knowledge and acquisition of knowledge improves organizational productivity.

Hypothesis 2

HP2₁: There is a correlation between the volume of knowledge acquired by Ghanaian enterprises and organizational productivity.

HP2₀. There is no correlation between the volume of knowledge acquired by Ghanaian enterprises and organizational productivity

The correlation has been conducted to understand the relationship between volume of knowledge and organizational productivity. 

The Pearson correlation value between volume of knowledge and organizational productivity is found to be -0.029 which indicates very less negative correlation and it cannot be considered as the value of correlation if less than 0.3 is considered very less correlation between the two variables.  Thus, there is no correlation between the volume of knowledge acquired by Ghanaian enterprises and organizational productivity.

Hypothesis 3

HP3₁: There is a relationship between Ghanaian enterprises organizational knowledge asset map and their organizational focus.

HP3₀: There is a relationship between Ghanaian enterprises organizational knowledge asset map and their organizational focus.

The r squared value is found to 0.557 which indicates that 55.7% of the values of the independent variable which is knowledge asset, indicates the values of the dependent variable organizational productivity. 

The significance F value is found to be 0.000 which is less than 0.05. 

Here the dependent variable considered is organizational knowledge improving productivity. The independent variables are organizational goals, volume of knowledge and acquisition of knowledge. The significance p value of volume of knowledge which is 0.022 and acquisition of knowledge which is 0.000 is less than 0.05 for 95% confidence level and the significance F is also less than 0.05. The significance p value of organizational goals is 0.716 which is greater than 0.05. Thus, the null hypothesis is rejected for volume of knowledge and acquisition of knowledge and alternate hypothesis is accepted. But for organizational goals the null hypothesis cannot be rejected as the p value is greater than 0.05 and alternate hypothesis is not accepted. Thus, it can be concluded that volume of knowledge and acquisition of knowledge improves organizational productivity.

The summary of the dissertation report says about the analysis being conducted regarding the organizational Knowledge Capital Management and the measurement practices among the Ghanian Enterprises by assessing the methods of Knowledge Capital Management and Measurement. The analysis that has been conducted to understand how the organizations in Accra acquire organizational Knowledge and how organizational knowledge being utilized to product capital as gaining knowledge is very important for the employees as they can more efficiently work and provide better results and output ultimately helping the company to make high growth, income and more capital. Reliability analysis has been used to understand whether the data of the variable is reliable. As observed from the hypothesis testing using regression analysis it is observed that volume of knowledge and acquisition of knowledge improves organizational productivity. The second hypothesis testing says that there is no correlation between the volume of knowledge acquired by Ghanaian enterprises and organizational productivity. The final hypothesis testing says that volume of knowledge and acquisition of knowledge improves organizational productivity.

References

Kaur, P., Stoltzfus, J., & Yellapu, V. (2018). Descriptive statistics. International Journal of Academic Medicine, 4(1), 60.

Kim, T. K. (2017). Understanding one-way ANOVA using conceptual figures. Korean journal of anesthesiology, 70(1), 22.

Kruschke, J. K., & Liddell, T. M. (2018). The Bayesian New Statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective. Psychonomic bulletin & review, 25(1), 178-206.

Melchers, R. E., & Beck, A. T. (2018). Structural reliability analysis and prediction. John wiley & sons.

Solutions, S. (2016). Correlation. Pearson, Kendall, Spearman). Accessed October, 18, 2016.

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