scholarly journals INFLUENCE OF PERFORMANCE CONTRACTING IN OPTIMIZING PROCUREMENT OF STATE CORPORATIONS IN KENYA

2019 ◽  
Vol 3 (4) ◽  
pp. 62-79
Author(s):  
Leonard Vwamu Agufa ◽  
Dr. Pamela Getuno

Purpose: The specific objective of the study was to assess influence of performance contracting in optimizing procurement of state corporations in Kenya.Methodology: This research study adopted a descriptive research design approach targeting heads of procurement at the 187 state corporations. This method was preferred because it allowed an in-depth study of the subject. The study preferred this method because it allowed an in-depth study of the subject. To gather data, structured questionnaire will be used to collect data from 104 respondents. Data was collected using self-administered questionnaires. The data collected was analyzed by use of descriptive and inferential statistics. Multiple regression model was used to show the relationship between the dependent variable and the independent variables. The data generated was keyed in and analyzed by use of Statistical Package of Social Sciences (SPSS) version 21 to generate information which was presented using charts, frequencies and percentages.Results: The findings of the study indicated that; key performance indicators, monitoring and evaluation, balanced scorecard and administration structures have a positive relationship with procurement optimization of state corporationsConclusion: Based on the study findings, the study concludes that performance of state corporations can be improved by key performance indicators, monitoring and evaluation, balanced scorecard and administration structures.Policy recommendation: the study recommended that public institutions should embrace performance contracting practices so as to improve their procurement optimization and further researches should to be carried out in other public entities to find out if the same results can be obtained.

2019 ◽  
Vol 3 (4) ◽  
pp. 62
Author(s):  
Leonard Vwamu Agufa ◽  
Dr. Pamela Getuno

Purpose: The specific objective of the study was to assess influence of performance contracting in optimizing procurement of state corporations in Kenya.Methodology: This research study adopted a descriptive research design approach targeting heads of procurement at the 187 state corporations. This method was preferred because it allowed an in-depth study of the subject. The study preferred this method because it allowed an in-depth study of the subject. To gather data, structured questionnaire will be used to collect data from 104 respondents. Data was collected using self-administered questionnaires. The data collected was analyzed by use of descriptive and inferential statistics. Multiple regression model was used to show the relationship between the dependent variable and the independent variables. The data generated was keyed in and analyzed by use of Statistical Package of Social Sciences (SPSS) version 21 to generate information which was presented using charts, frequencies and percentages.Results: The findings of the study indicated that; key performance indicators, monitoring and evaluation, balanced scorecard and administration structures have a positive relationship with procurement optimization of state corporationsConclusion: Based on the study findings, the study concludes that performance of state corporations can be improved by key performance indicators, monitoring and evaluation, balanced scorecard and administration structures.Policy recommendation: the study recommended that public institutions should embrace performance contracting practices so as to improve their procurement optimization and further researches should to be carried out in other public entities to find out if the same results can be obtained.


2017 ◽  
Vol 1 (3) ◽  
pp. 68
Author(s):  
Doreen Beyo Kubochi ◽  
Dr. Makori Moronge

Purpose: The main objective of the study was to examine the influence of performance contracting on procurement performance among county governments in Kenya.Methodology: The study employed a descriptive research design, targeting procurement staff at county government headquarters. The researcher preferred this method because it allowed an in-depth study of the subject. The study population was the 13 county governments with annual budgetary allocation of Ksh 8 Billion and above in Kenya; the respondents were the procurement officers of these counties. 181 procurement officers were selected using simple random sampling and were issued with questionnaires. Data was collected using self-administered questionnaires. The data collected was analysed by use of descriptive and inferential statistics. Multiple regression model was used to show the relationship between the dependent variable and the independent variables. The data generated was keyed in and analysed by use of Statistical Package of Social Sciences (SPSS) version 21 to generate information which was presented using charts, frequencies and percentages.Results: First, in regard to key performance indicators, the regression coefficients of the study show that it has a significant influence of 0.537 on performance of county governments. Second in regard to monitoring and evaluation, the regression coefficients of the study show that it has a significant influence of 0.097 on performance of county governments. With regard to the third objective, the regression coefficients of the study show that it has a significant influence of 0.067 on performance of county governments. Lastly, in regard to the fourth objective, the regression coefficients of the study show that it has a significant influence of 0.080 on performance of county governments.Conclusion: Based on the study findings, the study concludes that performance of county governments can be improved by key performance indicators, monitoring and evaluation, balanced scorecard and governance structures.Policy recommendation: Existing literature indicates that as a future avenue of research, there is need to undertake similar research in other institutions and public sector organizations in Kenya and other countries in order to establish whether the explored practices herein can be generalized to affect performance in public entities.


2017 ◽  
Vol 1 (3) ◽  
pp. 19
Author(s):  
Mercy Mueni Kioko ◽  
Dr.Patrick Mwangangi

Purpose: The main objective of this study was to analyze the influence of e-procurement on performance of parastatals.Methodology: This research study adopted a descriptive research design approach. The researcher preferred this method because it allows an in-depth study of the subject. For this study census was used, all the 187 heads of procurement in all parastatals were issued with questionnaires. Data was collected using self-administered questionnaires. The data collected was analyzed by use of descriptive and inferential statistics. Multiple regression model was used to show the relationship between the dependent variable and the independent variables. Data generated was be keyed in and analysed by use of Statistical Package of Social Sciences (SPSS) version 21 to generate information which was presented using tables, charts, frequencies and percentages.Results: The findings of the study indicated that e-sourcing, e-informing, e-payments and e-tendering have a positive relationship with performance in parastatals.Conclusion: Based on the study findings, the study concludes that performance of parastatals can be improved by e-sourcing, e-informing, e-payment and e-tendering. Policy recommendation: Finally, the study recommended that public institutions should embrace e-procurement practices so as to improve their performance and further researches should to be carried out in other public institutions to find out if the same results can be obtained.


2017 ◽  
Vol 1 (3) ◽  
pp. 19-45
Author(s):  
Mercy Mueni Kioko ◽  
Dr.Patrick Mwangangi

Purpose: The main objective of this study was to analyze the influence of e-procurement on performance of parastatals.Methodology: This research study adopted a descriptive research design approach. The researcher preferred this method because it allows an in-depth study of the subject. For this study census was used, all the 187 heads of procurement in all parastatals were issued with questionnaires. Data was collected using self-administered questionnaires. The data collected was analyzed by use of descriptive and inferential statistics. Multiple regression model was used to show the relationship between the dependent variable and the independent variables. Data generated was be keyed in and analysed by use of Statistical Package of Social Sciences (SPSS) version 21 to generate information which was presented using tables, charts, frequencies and percentages.Results: The findings of the study indicated that e-sourcing, e-informing, e-payments and e-tendering have a positive relationship with performance in parastatals.Conclusion: Based on the study findings, the study concludes that performance of parastatals can be improved by e-sourcing, e-informing, e-payment and e-tendering. Policy recommendation: Finally, the study recommended that public institutions should embrace e-procurement practices so as to improve their performance and further researches should to be carried out in other public institutions to find out if the same results can be obtained.


2020 ◽  
Vol 27 (9) ◽  
pp. 2715-2735 ◽  
Author(s):  
Daniel Amos ◽  
Cheong Peng Au-Yong ◽  
Zairul Nisham Musa

PurposeKey performance indicators (KPIs) help to monitor performance, thereby revealing the gap between planned and executed results relative to organizational objectives. The purpose of this paper is to develop KPIs for performance measurement of facilities management (FM) services in public hospitals.Design/methodology/approachFollowing a comprehensive literature review of KPIs in FM, a set of KPIs were first selected. This was then subjected to content validation by experts. Thereafter a questionnaire survey was conducted to identify participants perception on the level of importance of the proposed KPIs. The main analytical tool used was SPSS factor analysis/principal component extraction.FindingsAdapting an expanded balanced scorecard typology, the paper identifies 17 KPIs, which are useful for performance improvement of FM. The study also introduces new financial dimensions beyond the traditional cost and profit-centered metrics.Research limitations/implicationsThe study was limited to three FM services. Although the results of the Kruskal–Wallis test shows no significant difference in the level of importance on more than 80% of the indicators, larger sample is required in future studies to examine indicator preference for the respective services. An empirical study to test the proposed indicators to measure FM performance could also be a next step.Originality/valueThe paper presents the first step to develop performance indicators, which are of relevance to FM performance measurement and could be utilized to improve performance. The indicators are largely generic and can easily be adapted by other FM service sectors for performance measurement.


2016 ◽  
Vol 14 (1) ◽  
pp. 103-115 ◽  
Author(s):  
Dorota LEOŃCZUK

The increasing complexity of supply chains, whose structure is changing from a linear to network form creates the need to track a growing amount of information allowing the evaluation of the functioning of the entire supply chain. Developing a system for measuring the performance of the supply chain requires the proper selection of indicators. Performance measurement should be done in a particular context, the analysed dimensions of indicators resulting from the purpose and focus of the survey should be determined. The article reviews Polish and foreign literature in terms of the proposed framework and methods for measuring the performance of the supply chain and the indicated categories (dimensions) of indicators. The authors approach the subject of evaluation of the performance of the supply chain in very different ways. Indicators are divided according to the level of the decision-making process: strategic, tactical, and operational. They are also divided into cost and non-cost or financial and non-financial ones. There are also approaches using the already well established methods and models. An example of this is the selection of perspectives according to the Balanced Scorecard (BSC) and the SCOR model.


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