<?xml version="1.0" encoding="UTF-8"?>
<rdf:RDF xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/">
<channel rdf:about="http://ir.tum.ac.ke/handle/123456789/17347">
<title>Department of Management Science</title>
<link>http://ir.tum.ac.ke/handle/123456789/17347</link>
<description>Contains electronic theses &amp; dissertations for this department</description>
<items>
<rdf:Seq>
<rdf:li rdf:resource="http://ir.tum.ac.ke/handle/123456789/17655"/>
<rdf:li rdf:resource="http://ir.tum.ac.ke/handle/123456789/17654"/>
<rdf:li rdf:resource="http://ir.tum.ac.ke/handle/123456789/17652"/>
</rdf:Seq>
</items>
<dc:date>2026-06-13T18:41:51Z</dc:date>
</channel>
<item rdf:about="http://ir.tum.ac.ke/handle/123456789/17655">
<title>NFLUENCE OF SUPPLIER SELECTION CRITERIA ON PROCUREMENT  PERFORMANCE OF PARASTATALS IN MOMBASA COUNTY</title>
<link>http://ir.tum.ac.ke/handle/123456789/17655</link>
<description>NFLUENCE OF SUPPLIER SELECTION CRITERIA ON PROCUREMENT  PERFORMANCE OF PARASTATALS IN MOMBASA COUNTY
MAGANGA, DARIUS CHOLA
This research aimed to explore the influence of supplier selection criteria on &#13;
procurement performance of parastatals in Mombasa County. The study was guided&#13;
by the following specific objectives; To determine the influence of Supplier &#13;
Responsiveness, Supplier Reliability, Supplier Quality and Supplier Cost on &#13;
procurement performance of parastatals in Mombasa County. The study draws from &#13;
several established theories in procurement, including Supplier Selection Decision &#13;
Theory, Resource Dependency Theory, Transaction Cost Theory, and Means-End&#13;
Theory. Targeting a group of 308 individuals employed in parastatals in Mombasa &#13;
County, 174 valid responses were collected, adhering to Yamane allocation sample &#13;
equations to determine the sample size. Data collection involved the distribution of &#13;
questionnaires, followed by rigorous editing to ensure accuracy and consistency. &#13;
Descriptive statistics were employed for analysis, supported by multiple regression &#13;
analysis to assess the influence of supplier selection criteria on procurement &#13;
performance. The diagnostic tests conducted in this study aimed to assess several key &#13;
assumptions underlying regression analysis. Autocorrelation was evaluated using the &#13;
Durbin-Watson test, which indicated presence of independence of errors. &#13;
Multicollinearity was examined using variance inflation factor and no &#13;
multicollinearity issues were present. Normality was assessed visually using P-P plots &#13;
confirming the normal distribution of residuals. Linearity was confirmed through &#13;
scatter plots and ANOVA analysis, demonstrating linear relationships between &#13;
independent and dependent variables. Homoscedasticity was verified by examining &#13;
the plot of studentized residuals against unstandardized predicted values, showing &#13;
no evidence of heteroscedasticity. These diagnostic tests validate the reliability of &#13;
regression analysis results and support the influence of supplier selection criteria on &#13;
procurement performance. The study achieved a response rate of 116 which is 66.7% &#13;
which is dimmed excellent. The study identified strong positive associations between &#13;
procurement performance and four key supplier-related variables: responsiveness, &#13;
reliability, quality, and cost. Supplier responsiveness and reliability were consistently &#13;
viewed as crucial, with minimal variance in respondent opinions, emphasizing their &#13;
role in ensuring efficient and effective procurement processes. Supplier quality also &#13;
positively influenced procurement performance. Supplier cost was similarly linked to &#13;
improved procurement outcomes, but with a broader range of opinions, suggesting &#13;
the need for a balanced approach that considers cost alongside other critical factors &#13;
like quality and reliability. Additionally, the research suggests potential future &#13;
investigations, including exploring alternative supplier selection criteria's influence&#13;
on organizational performance across different contexts
</description>
<dc:date>2024-01-01T00:00:00Z</dc:date>
</item>
<item rdf:about="http://ir.tum.ac.ke/handle/123456789/17654">
<title>INFLUENCE OF SUPPLY CHAIN INTEGRATION ON THE OPERATIONAL  PERFORMANCE OF FORMAL MANUFACTURING FIRMS IN MOMBASA  COUNTY</title>
<link>http://ir.tum.ac.ke/handle/123456789/17654</link>
<description>INFLUENCE OF SUPPLY CHAIN INTEGRATION ON THE OPERATIONAL  PERFORMANCE OF FORMAL MANUFACTURING FIRMS IN MOMBASA  COUNTY
OMAR, FARHANA FAIZ
The study was guided by the following specific objectives; to determine the influence &#13;
of technology integration on operational performance of formal manufacturing firms &#13;
in Mombasa County, to establish the influence of customer integration on operational &#13;
performance of formal manufacturing firms in Mombasa County, to determine the &#13;
influence of product integration on operational performance of formal manufacturing &#13;
firms in Mombasa County and to determine the influence of process integration on &#13;
operational performance of formal manufacturing firms in Mombasa County. The &#13;
study was anchored by the following theories; Innovation Diffusion Theory, &#13;
Stakeholder Theory, Product Life Cycle theory and Transaction Cost Economics &#13;
Theory. The target population of the study consisted of 100 general operation &#13;
managers 50 Head of Procurement Section and 100 warehouse managers in the 50 &#13;
selected manufacturing firms in Mombasa County. The sample size was determined &#13;
using Yamane allocation sample formulae to obtain 152 respondents. The researcher &#13;
used questionnaires as a tool for data collection. The questionnaires contained close &#13;
ended questions that solicited respondents’ views. Data analysis involved sorting, &#13;
coding and transforming data into statistical information for the purpose of analysis &#13;
and interpretation by use of SPSS. This study used quantitative data specifically &#13;
descriptive statistics. Regression analysis was used. The findings were presented in &#13;
the form of tables and percentages. Normality testing involved examining whether &#13;
the residuals of the regression model followed a normal distribution, with normal QQ &#13;
plots revealing a close alignment between observed and expected data points, &#13;
indicating normal distribution. Additionally, the Shapiro-Wilk test confirmed &#13;
normality for all variables. Multicollinearity was assessed using variance inflation &#13;
factor (VIF), with values indicating no issues. Heteroscedasticity was checked using &#13;
Breusch-Pagan and Koenker tests, which showed no significant problems. &#13;
Autocorrelation was tested using the Durbin-Watson statistic, with results indicating &#13;
no autocorrelation. Finally, linearity was assessed through Sig. linearity and Sig. &#13;
deviation from linearity tests, confirming the presence of a linear relationship between &#13;
variables. The findings revealed that technology integration significantly enhances &#13;
operational performance by improving operational efficiency and effectiveness. &#13;
Customer integration practices were found to have a strong positive influence on &#13;
operational performance by fostering customer relationships and meeting their needs. &#13;
However, product integration had a limited influence on operational performance, &#13;
suggesting a need for organizations to realign their product strategies. Process &#13;
integration emerged as a significant determinant of operational performance, &#13;
highlighting the importance of optimizing processes and fostering collaboration &#13;
across departments. The study concluded that technology integration positively &#13;
influences operational performance for Formal Manufacturing firms in Mombasa &#13;
County. Customer integration practices were found to significantly enhance &#13;
operational performance. Process integration was identified as crucial for improving &#13;
operational efficiency and productivity by optimizing workflows and promoting &#13;
collaboration across departments. The study recommended that firms invest in &#13;
technology, prioritize customer relationships, reassess product strategies, and &#13;
streamline processes to enhance overall performance. Further research is needed to &#13;
explore the influence of supply chain integration on operational performance across &#13;
different industries and regions in Kenya
</description>
<dc:date>2024-01-01T00:00:00Z</dc:date>
</item>
<item rdf:about="http://ir.tum.ac.ke/handle/123456789/17652">
<title>SUSTAINABLE SUPPLY CHAIN MANAGEMENT PRACTICES AND SUPPLY CHAIN PERFORMANCE OF LEVEL 4 HOSPITALS IN MOMBASA COUNTY</title>
<link>http://ir.tum.ac.ke/handle/123456789/17652</link>
<description>SUSTAINABLE SUPPLY CHAIN MANAGEMENT PRACTICES AND SUPPLY CHAIN PERFORMANCE OF LEVEL 4 HOSPITALS IN MOMBASA COUNTY
BUYA, EDWARD BALOZI
In supply chain management, sustainability is considered a critical performance&#13;
criterion that had gained significant traction. Companies that had aligned their&#13;
existing supply chains were expected to benefit from a sustainable supply chain. The&#13;
performance and long-term viability of the supply chain depended on the&#13;
implementation of eco-friendly practices. The study aimed to examine the supply&#13;
chain performance of Level 4 hospitals in Mombasa County to determine whether and&#13;
how sustainable supply chain management practices could enhance supply chain&#13;
performance. The research had four specific objectives regarding supply chain&#13;
performance at Level 4 hospitals in Mombasa County: (1) it evaluated the effect of&#13;
CSR on supply chain performance; (2) it examined the effect of green purchasing on&#13;
supply chain performance; (3) it explored the result of reverse logistics on supply&#13;
chain performance; and (4) it assessed the effect of social and resilient supply chain&#13;
practices. This study was guided by the following theories; of dynamic capacities, the&#13;
stakeholder theory, the supply chain integration, and the systems. A descriptive&#13;
research strategy was employed for this investigation. The study included a survey of&#13;
the twenty Level 4 hospitals in Mombasa County. Data was gathered through&#13;
questionnaires. The first step was a small-scale pilot test. The survey underwent a&#13;
battery of validity and reliability testing. All the data collected was checked for errors&#13;
and duplicates. The data was analyzed using SPSS version 26. Checks for&#13;
multicollinearity and normality were conducted. Regression analysis was also used to&#13;
determine the extent to which the study's variables were related to one another the&#13;
study concludes its examination of sustainable supply chain management practices in&#13;
Level 4 hospitals in Mombasa County. The findings reveal a positive commitment to&#13;
corporate social responsibility, green purchasing, reverse logistics, social and resilient&#13;
supply chain practices, underscoring their significance in healthcare supply chains.&#13;
These practices are shown to have a substantial positive impact on supply chain&#13;
performance, with tangible benefits such as increased customer numbers, market&#13;
share growth, environmental success, and enhanced operational efficiency. However,&#13;
areas such as managerial commitment to CSR and the economic optimization of&#13;
reverse logistics were identified as needing improvement. The findings underscore&#13;
the importance of leadership engagement, consistent communication, and&#13;
stakeholder collaboration in enhancing sustainable practices. Recommendations&#13;
include the need for policy frameworks to incentivize sustainable practices,&#13;
continuous education for healthcare professionals, and further research into the&#13;
economic impacts of these initiatives. This study provides valuable insights into the&#13;
critical role of sustainable supply chain management in improving the efficiency and&#13;
sustainability of healthcare delivery in Mombasa County The study also provides&#13;
recommendations for policy makers, academia, and healthcare practitioners to further&#13;
promote and implement sustainable supply chain practices. Finally, it suggests&#13;
several avenues for future research, including exploring the economic aspects of&#13;
sustainability, investigating emerging technologies' role, and conducting comparative&#13;
studies across regions and countries to better understand the contextual factors&#13;
influencing sustainable supply chain practices in healthcare.
</description>
<dc:date>2024-01-01T00:00:00Z</dc:date>
</item>
</rdf:RDF>
