Influence of Contract Management on Performance of Public Hospitals in Nairobi City County, Kenya

2020 ◽  
Vol 5 (1) ◽  
pp. 51
Author(s):  
Anne Wanjiru Karoki ◽  
Dr. Patrick Mwangangi
Keyword(s):  
Regression Analysis ◽  
Data Collection ◽  
Dispute Resolution ◽  
Positive Relationship ◽  
Relationship Management ◽  
Monitoring And Evaluation ◽  
Target Population ◽  
Public Institutions ◽  
Public Hospitals ◽  
Contract Management

Purpose: The study will help unearth the influence of contract management on performance of public hospitals in Nairobi City County, Kenya.Methodology: This study employed descriptive research design. The study reviewed both theoretical and empirical literature and then proposed the research methodology that addressed the gaps identified in literature as well as to validate the statistical hypotheses. The researcher preferred this method because it allows an in-depth study of the subject. The study population was all public hospitals in Kenya. To gather data, structured questionnaire was used to collect data from 76 staff in procurement, administration and finance departments from the four largest public hospitals in Nairobi County; Kenyatta National Hospital, Mama Lucy Kibaki Hospital, Mbagathi District Hospital and Pumwani Maternity. The target population was all public hospitals in Nairobi City County. The target population was first stratified then using simple random sampling among the four strata, select the samples. The study combined two methods in its data collection that is, questionnaires and key informant interviews. After data collection, quantitative data was coded using Statistical Package for Social Science (SPSS) version 20. Data was analyzed through descriptive statistical methods such as means, standard deviation, frequencies and percentage. Inferential analysis was used in relation to correlation analysis and regression analysis to test the relationship between the four explanatory variables and the explained variable.Findings: R square value of 0.647 means that 64.7% of the corresponding variation in performance of public hospitals in Kenya can be explained or predicted by (contract planning, monitoring and evaluation, contractor relationship management and dispute resolution) which indicated that the model fitted the study data. The results of regression analysis revealed that there was a significant positive relationship between dependent variable and independent variable at (β = 0.647), p=0.000 <0.05). The findings of the study concluded that contract planning, monitoring and evaluation, contractor relationship management, dispute resolution have a positive relationship with performance of public hospitals in Kenya.Unique contribution to theory, practice and policy: The study recommended that public institutions should embrace contract management practices so as to improve performance and further researches should to be carried out in other public institutions to find out if the same results can be obtained.

scholarly journals Influence of Contract Management on Performance of Public Hospitals in Nairobi City County, Kenya

2020 ◽  
Vol 4 (1) ◽  
pp. 46-69
Author(s):  
Anne Wanjiru Karoki ◽  
Dr. Patrick Mwangangi
Keyword(s):  
Regression Analysis ◽  
Data Collection ◽  
Dispute Resolution ◽  
Positive Relationship ◽  
Relationship Management ◽  
Monitoring And Evaluation ◽  
Target Population ◽  
Public Institutions ◽  
Public Hospitals ◽  
Contract Management

Purpose: The study sought to establish the influence of contract management on performance of public hospitals in Nairobi City County, Kenya.Methodology: This study employed descriptive research design. The study reviewed both theoretical and empirical literature and then proposed the research methodology that addressed the gaps identified in literature as well as to validate the statistical hypotheses. The researcher preferred this method because it allows an in-depth study of the subject. The study population was all public hospitals in Kenya. To gather data, structured questionnaire was used to collect data from 76 staff in procurement, administration and finance departments from the four largest public hospitals in Nairobi County; Kenyatta National Hospital, Mama Lucy Kibaki Hospital, Mbagathi District Hospital and Pumwani Maternity. The target population was all public hospitals in Nairobi City County. The target population was first stratified then using simple random sampling among the four strata, select the samples. The study combined two methods in its data collection that is, questionnaires and key informant interviews. After data collection, quantitative data was coded using Statistical Package for Social Science (SPSS) version 20. Data was analyzed through descriptive statistical methods such as means, standard deviation, frequencies and percentage. Inferential analysis was used in relation to correlation analysis and regression analysis to test the relationship between the four explanatory variables and the explained variable.Findings: R square value of 0.647 means that 64.7% of the corresponding variation in performance of public hospitals in Kenya can be explained or predicted by (contract planning, monitoring and evaluation, contractor relationship management and dispute resolution) which indicated that the model fitted the study data. The results of regression analysis revealed that there was a significant positive relationship between dependent variable and independent variable at (β = 0.647), p=0.000 <0.05). The findings of the study concluded that contract planning, monitoring and evaluation, contractor relationship management, dispute resolution have a positive relationship with performance of public hospitals in Kenya.Unique contribution to theory, practice and policy: The study recommended that public institutions should embrace contract management practices so as to improve performance and further researches should to be carried out in other public institutions to find out if the same results can be obtained.

scholarly journals Influence of Contract Management on Performance of Public Hospitals in Nairobi City County, Kenya

2020 ◽  
Vol 4 (1) ◽  
pp. 46
Author(s):  
Anne Wanjiru Karoki ◽  
Dr. Patrick Mwangangi
Keyword(s):  
Regression Analysis ◽  
Data Collection ◽  
Dispute Resolution ◽  
Positive Relationship ◽  
Relationship Management ◽  
Monitoring And Evaluation ◽  
Target Population ◽  
Public Institutions ◽  
Public Hospitals ◽  
Contract Management

Purpose: The study sought to establish the influence of contract management on performance of public hospitals in Nairobi City County, Kenya.Methodology: This study employed descriptive research design. The study reviewed both theoretical and empirical literature and then proposed the research methodology that addressed the gaps identified in literature as well as to validate the statistical hypotheses. The researcher preferred this method because it allows an in-depth study of the subject. The study population was all public hospitals in Kenya. To gather data, structured questionnaire was used to collect data from 76 staff in procurement, administration and finance departments from the four largest public hospitals in Nairobi County; Kenyatta National Hospital, Mama Lucy Kibaki Hospital, Mbagathi District Hospital and Pumwani Maternity. The target population was all public hospitals in Nairobi City County. The target population was first stratified then using simple random sampling among the four strata, select the samples. The study combined two methods in its data collection that is, questionnaires and key informant interviews. After data collection, quantitative data was coded using Statistical Package for Social Science (SPSS) version 20. Data was analyzed through descriptive statistical methods such as means, standard deviation, frequencies and percentage. Inferential analysis was used in relation to correlation analysis and regression analysis to test the relationship between the four explanatory variables and the explained variable.Findings: R square value of 0.647 means that 64.7% of the corresponding variation in performance of public hospitals in Kenya can be explained or predicted by (contract planning, monitoring and evaluation, contractor relationship management and dispute resolution) which indicated that the model fitted the study data. The results of regression analysis revealed that there was a significant positive relationship between dependent variable and independent variable at (β = 0.647), p=0.000 <0.05). The findings of the study concluded that contract planning, monitoring and evaluation, contractor relationship management, dispute resolution have a positive relationship with performance of public hospitals in Kenya.Unique contribution to theory, practice and policy: The study recommended that public institutions should embrace contract management practices so as to improve performance and further researches should to be carried out in other public institutions to find out if the same results can be obtained.

scholarly journals INFLUENCE OF CONTRACT MANAGEMENT PRACTICES ON PERFORMANCE OF STATE CORPORATIONS IN KENYA

2019 ◽  
Vol 3 (1) ◽  
pp. 50
Author(s):  
MICHAEL MWINZI MWENDWA ◽  
Dr. GEORGE OCHIRI
Keyword(s):  
Conflict Management ◽  
Quantitative Data ◽  
Management Practices ◽  
Stakeholder Management ◽  
Monitoring And Evaluation ◽  
Simple Random Sampling ◽  
Target Population ◽  
Public Institutions ◽  
Empirical Literature ◽  
Contract Management

Purpose: The study helped unearth the influence of contract management practices on performance of state corporations in Kenya.Methodology: This study employed descriptive research design. The study reviewed both theoretical and empirical literature and then proposed the research methodology that addressed the gaps identified in literature as well as to validate the statistical hypotheses. The study preferred this method because it allows an in-depth study of the subject. The target population was all the 187 state corporations in Kenya. Questionnaires were administered to collect qualitative and quantitative data from a sample of 127 heads of procurement, who were selected using simple random sampling, from the four strata. After data collection, quantitative data was coded using Statistical Package for Social Science (SPSS) version 20.0. Data was analyzed through descriptive statistical methods such as means, standard deviation, frequencies and percentage. Inferential analyses was used in relation to correlation analysis and regression analysis to test the relationship between the four explanatory variables and the explained variable.Results: The response rate of the study was 82%. The findings of the study indicated that administration strategy, monitoring and evaluation, stakeholder management and conflict management have a positive relationship with performance of state corporations in Kenya.Conclusion: Based on the study findings, the study concludes that performance of state corporations can be improved by administration strategy, monitoring and evaluation, stakeholder management and conflict management. First, in regard to administration strategy, the regression coefficients of the study show that it has a significant influence on performance of state corporations.Policy recommendation: the study recommended that public institutions should embrace contract management practices so as to improve performance and further researches should to be carried out in other public institutions to find out if the same results can be obtained.

scholarly journals Influence of Contract Administration on Performance of Parastatals in Kenya

2020 ◽  
Vol 4 (3) ◽  
pp. 70
Author(s):  
Josphat Mutua Kimeo ◽  
Dr. John Achuora
Keyword(s):  
Regression Analysis ◽  
Conflict Resolution ◽  
Quantitative Data ◽  
Management Strategy ◽  
Positive Relationship ◽  
Monitoring And Evaluation ◽  
Public Institutions ◽  
Significant Positive Relationship ◽  
Contract Administration ◽  
Independent Variable

Purpose: The study helped to unearth the influence of contract administration on performance of parastatals in Kenya.Methodology: This study employed descriptive research design. The study reviewed both theoretical and empirical literature and then proposed the research methodology that addressed the gaps identified in literature as well as to validate the statistical hypotheses. The study preferred this method because it allows an in-depth study of the subject. The target population was all the 187 parastatals in Kenya. Questionnaires were administered to collect qualitative and quantitative data from a sample of 127 heads of procurement, who were selected using simple random sampling, from the four strata. After data collection, quantitative data was coded using Statistical Package for Social Science (SPSS) version 22. Data was analyzed through descriptive statistical methods such as means, standard deviation, frequencies and percentage. Inferential analyses were used in relation to correlation analysis and regression analysis to test the relationship between the four explanatory variables and the explained variable.Results and conclusion: The results of regression analysis revealed there is a significant positive relationship between dependent variable and the independent variable. R square value of 0.647 means that 64.7% of the corresponding variation in performance of parastatals in Kenya can be explained or predicted by (management strategy, monitoring and evaluation, shareholder management and conflict resolution) which indicated that the model fitted the study data. The results of regression analysis revealed that there was a significant positive relationship between dependent variable and independent variable at (β = 0.647), p=0.000 <0.05).Based on the study findings, the study concludes that performance of parastatals can be improved by management strategy, monitoring and evaluation, shareholder management and conflict resolution. First, in regard to management strategy, the regression coefficients of the study show that it has a significant influence on performance of parastatals.Unique contribution to theory, policy and practice: The study recommended that public institutions should embrace contract administration so as to improve performance and further researches should to be carried out in other public institutions to find out if the same results can be obtained.

scholarly journals INFLUENCE OF PROJECT MANAGEMENT INFORMATION SYSTEM ON CREDIT DIGITIZATION IN COMMERCIAL BANKS IN NAIROBI, KENYA

2021 ◽  
Vol 6 (1) ◽  
pp. 12-31
Author(s):  
JEREMIAH KAMAU ◽  
Maurice Pedo
Keyword(s):  
Regression Analysis ◽  
Technology Acceptance ◽  
Commercial Banks ◽  
Survey Design ◽  
Stakeholder Management ◽  
User Involvement ◽  
Monitoring And Evaluation ◽  
Target Population ◽  
Disruptive Innovation ◽  
Unique Contribution

Purpose:  Therefore, the study sought to establish the influence of PMIS on credit digitization in commercial banks in Kenya.  Methodology: The target population for the study was the 42 commercial banks in Kenya. The study employed a descriptive survey design and was census of the 42 commercial banks head offices in Nairobi, Kenya. Data was collected by use of a structured questionnaire. The data was cleaned, coded and analyzed using a Statistical software (SPSS). The findings were presented in form of tables, charts and graphs. Descriptive statistics were deduced from the data. From this, inferential statistics were presented and associations drawn. Regression analysis was interpreted and appropriate conclusions made. Findings: The findings from regression analysis showed that expertise of the project team, end-user involvement, project risk management and project monitoring and evaluation positively and significantly influence credit digitalization in Kenyan Commercial banks.   Unique contribution to theory, practice and policy: The study was guided by the lenses of Stakeholder Management theory, Technology Acceptance Model (TAM) and the Theory of Disruptive Innovation from which the study operationalized the variables of PMIS Implementation and Credit Digitization. Banks should conduct training to all team members before commencement and during project execution. Moreover banks should involve customers in testing of projects before launching and should consider the feedback from customers

scholarly journals INFLUENCE OF GREEN OPERATIONS STRATEGY ON PERFORMANCE OF TEA PROCESSING FIRMS IN KENYA

2019 ◽  
Vol 4 (1) ◽  
pp. 69
Author(s):  
Kennedy Kyalo Syanda ◽  
Dr. Pamela Getuno
Keyword(s):  
Data Collection ◽  
Product Design ◽  
Reverse Logistics ◽  
Positive Relationship ◽  
Target Population ◽  
Study Data ◽  
Green Product ◽  
Operations Strategy ◽  
Independent Variables ◽  
Green Product Design

Purpose: The study sought to establish the influence of green operations strategy on performance of tea processing firms in Kenya.Methodology: This research study adopted a descriptive research design approach. The researcher preferred this method because it allowed an in-depth study of the subject. The target population was heads of procurement and heads of finance in the 66 tea processing firms in Kenya. The study conducted a census since the number of respondents was less than 200, which is a rule of the thumb. The study combined two methods in its data collection, that is, questionnaires and key informant interviews. After data collection, quantitative data was coded using Statistical Package for Social Science (SPSS) version 20.Results: The independent variables reported R value of 0.846 indicating that there was perfect relationship between dependent variable and independent variables. R square value of 0.715 means that 71.5% of the corresponding variation in performance of tea processing firms can be explained or predicted by (green product design, green distribution and transportation, green warehousing and reverse logistics) which indicated that the model fitted the study data. The results of regression analysis revealed that there was a significant positive relationship between dependent variable and independent variable at (β = 0.715), p=0.000 <0.05).Conclusion: The findings of the study indicated that green product design, green distribution and transportation, green warehousing and reverse logistics have a positive relationship with performance of tea processing firms.Policy recommendation: The study recommends that tea processing firms should embrace green operations strategy so as to improve performance and further researches should to be carried out in other institutions to find out if the same results can be obtained.

scholarly journals Relationship of Self Concept, Problem Solving and Self Adjustment in Youth

2019 ◽  
Vol 1 (6) ◽  
Author(s):  
Harwanti Noviandari ◽  
Agus Mursidi
Keyword(s):  
Regression Analysis ◽  
Problem Solving ◽  
Data Collection ◽  
Significant Relationship ◽  
Positive Relationship ◽  
Self Concept ◽  
Research Subjects ◽  
Significant Positive Relationship ◽  
Relationship Of

This study aims to find a relationship between self-concept and problem solving with adapting to adolescents. The research subjects were 138 teenagers in class VII of SMP Negeri 3 Banyuwangi. Data collection is done by using the scale of self-concept, problem solving scale and scale of adjustment in adolescents that are compiled by researchers themselves. These three scales use a Likert model consisting of 5 alternative answers. Data were analyzed using regression analysis. The results of the study show (1) There is a significant relationship between self-concept and problem solving with adjustment variables in adolescents; (2) There is a very significant positive relationship between self-concept and adjustment in adolescents; and (3) There is a very significant positive relationship between problem solving and adjustment in adolescents. Effective contributions from self-concept variables and problem solving together have an effect of 40.5% on adapting to adolescents, so there are 59.5% of other variables that influence adolescents' adaptation in addition to the two X variables studied.

scholarly journals INFLUENCE OF SUPPLIER EVALUATION CRITERIA ON PROCUREMENT PERFORMANCE OF NON-GOVERNMENTAL ORGANIZATIONS IN KENYA

2019 ◽  
Vol 3 (3) ◽  
pp. 77
Author(s):  
URBANUS KIOKO MUTISO ◽  
Dr. GEORGE OCHIRI
Keyword(s):  
Regression Analysis ◽  
Data Collection ◽  
Positive Relationship ◽  
Evaluation Criteria ◽  
Supplier Evaluation ◽  
Technical Expertise ◽  
Financial Status ◽  
Independent Variables ◽  
Governmental Organizations ◽  
Non Governmental Organizations

Purpose: The purpose of the study was to assess the influence of supplier evaluation criteria on procurement performance of non-governmental organizations in Kenya with an aim of making recommendations on proper use of supplier evaluation.Methodology: This research study adopted a descriptive research design approach. The researcher preferred this method because it allowed an in-depth study of the subject.  The target population was 168 heads of procurement. The 2018 NGO coordination board directory has a listing of all the 168 NGO’s spread all over the country. The study will combine two methods in its data collection that is, questionnaires and key informant interviews. After data collection, quantitative data was coded using Statistical Package for Social Science (SPSS) version 20. Data was analyzed through descriptive statistical methods such as means, standard deviation, frequencies and percentage. Inferential analyses were used in relation to correlation analysis and regression analysis to test the relationship between the four explanatory variables and the explained variable.Results: The independent variables reported R value of .846 indicating that there is perfect relationship between dependent variable and independent variables. R square value of 0.716 which means that 71.6% of the corresponding variation in procurement performance of the non-governmental organizations can be explained or predicted by (supplier commitment to quality,  supplier financial status, supplier technical expertise, supplier basic profile) which indicated that the model fitted the study data. The results of regression analysis revealed that there was a significant positive relationship between dependent variable and independent variable at (β = 1.240), p=0.00 <0.05).Conclusion: The response rate of the study was 71%. The findings of the study indicated that supplier commitment to quality, supplier financial status, supplier technical expertise and supplier basic profile have a positive relationship with procurement performance of NGO’s in KenyaContribution to theory, practice and policy: the study recommended that NGO’s should embrace supplier evaluation criteria so as to improve procurement performance and further researches should to be carried out in other institutions to find out if the same results can be obtained.

scholarly journals INFLUENCE OF TRANSPORT AND FLEET RATIONALIZATION ON PERFORMANCE OF STATE CORPORATIONS IN KENYA

2021 ◽  
Vol 5 (3) ◽  
pp. 33-53
Author(s):  
Victor Nthiga Mugao ◽  
Dr. Charles Ndeto
Keyword(s):  
Regression Analysis ◽  
Information Management ◽  
Positive Relationship ◽  
Simple Random Sampling ◽  
Target Population ◽  
Total Sample ◽  
Validity And Reliability ◽  
Base Management ◽  
Logistics Information ◽  
The Relationship

Purpose: The purpose of the study was to assess the influence of transport and fleet rationalization on performance of state corporations Kenya. Methodology: Descriptive research design was adopted because it allowed an in-depth study of the subject. The target population was all the 187 state corporations in Kenya. Questionnaires were administered to collect qualitative and quantitative data from a sample of 127 heads of transport and logistics department among state corporations operating in Kenya, who were selected using simple random sampling, from the four strata. Questionnaires were used to collect data. The questionnaires were tested for validity and reliability using 10% of the total sample respondents. Data was analyzed through descriptive statistical methods such as means, standard deviation, frequencies and percentage. Inferential analyses were used in relation to correlation analysis and regression analysis to test the relationship between the four explanatory variables and the explained variable. Multiple regression models were used to show the relationship between the predicted variable and the predictor 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 and conclusion: The response rate of the study was 76%. R square value of 0.715 means that 71.5% of the corresponding variation in performance of state corporations in Kenya can be explained or predicted by (logistics information management, consignment management, distributor base management, transit management) which indicated that the model fitted the study data. The results of regression analysis revealed that there was a significant positive relationship between dependent variable and independent variable at (β = 0.715), p=0.000 <0.05). The findings of the study concluded that logistics information management, consignment management, distributor base management and transit management have a positive relationship with performance of state corporations in Kenya. Policy recommendation: The study recommended that state corporations should embrace transport and fleet rationalization aspects so as to improve performance and further researches should to be carried out in other firms to find out if the same results can be obtained.

scholarly journals INFLUENCE OF GREEN OPERATIONS STRATEGY ON PERFORMANCE OF TEA PROCESSING FIRMS IN KENYA

2019 ◽  
Vol 3 (4) ◽  
pp. 80-98
Author(s):  
Kennedy Kyalo Syanda ◽  
Dr. Pamela Getuno
Keyword(s):  
Data Collection ◽  
Product Design ◽  
Reverse Logistics ◽  
Positive Relationship ◽  
Target Population ◽  
Study Data ◽  
Green Product ◽  
Operations Strategy ◽  
Independent Variables ◽  
Green Product Design

Purpose: The study sought to establish the influence of green operations strategy on performance of tea processing firms in Kenya.Methodology: This research study adopted a descriptive research design approach. The researcher preferred this method because it allowed an in-depth study of the subject. The target population was heads of procurement and heads of finance in the 66 tea processing firms in Kenya. The study conducted a census since the number of respondents was less than 200, which is a rule of the thumb. The study combined two methods in its data collection, that is, questionnaires and key informant interviews. After data collection, quantitative data was coded using Statistical Package for Social Science (SPSS) version 20.Results: The independent variables reported R value of 0.846 indicating that there was perfect relationship between dependent variable and independent variables. R square value of 0.715 means that 71.5% of the corresponding variation in performance of tea processing firms can be explained or predicted by (green product design, green distribution and transportation, green warehousing and reverse logistics) which indicated that the model fitted the study data. The results of regression analysis revealed that there was a significant positive relationship between dependent variable and independent variable at (β = 0.715), p=0.000 <0.05).Conclusion: The findings of the study indicated that green product design, green distribution and transportation, green warehousing and reverse logistics have a positive relationship with performance of tea processing firms.Policy recommendation: The study recommends that tea processing firms should embrace green operations strategy so as to improve performance and further researches should to be carried out in other institutions to find out if the same results can be obtained.

Sign in / Sign up

Export Citation Format

Share Document