Purpose: The study sought to determine the influence of customer relationship management on performance of manufacturing firms in Kenya. Methodology: This study employed descriptive research design. The targeted population of this study was comprised of 499 manufacturing companies which are all located in Nairobi and its environs. In order to come up with a representative sample, stratified random sampling method was used since the population is heterogeneous. The stratified technique ensured that each sector in the target population has an equal chance of being selected. There were 217 respondents sampled from the 499 manufacturing firms out of 217,180 respondents returned the questionnaires for analysis. The study adopted a descriptive survey design. Data was collected using self-administered questionnaires which were tested for validity and reliability using 10% of the total sample respondents. Quantitative data was analyzed using both descriptive and inferential statistics and with the help of SPSS version 23 while qualitative data was analyzed descriptively. Linear and multiple regression models were used to show the relationship between the dependent variable and the independent variables. The information was presented using tables, charts, frequencies, percentages and graphs. Findings: The study established that there exists a positive influence of customer relations management on performance management of manufacturing firms in Kenya at 5% level of significant (β=0.595, P<0.05). This indicates that as customer relationship management increases to certain level then performance of manufacturing firms in Kenya also increases significantly and vice-versa Unique contribution to theory, practice and policy: The study recommends that the government of Kenya should create awareness of their policies through training of the key stakeholders for this organization. Customer relationship management requires to improve on quality production and lead time, manufacturing firms must also improve their customer relationship management. Since the quality of the products has not significantly improved for the last 5 years, more strategies must be put in place to incorporate technology which will aid to improve the quality and also maintain required lead time in these organizations. The study was guided by Social Exchange Theory which was beneficial in explaining the influence of customer relationship management and performance of manufacturing firms.

Purpose: The study also sought to address the moderating effect of information flow on the relationship between management risk and performance of manufacturing firms. Information flow plays an integral role in determining the effectiveness of supply chain processes and how they enhance firm performance. Outsourcing logistics comes with varied risks and one of the risks is management risks. These risks are aligned with the administrative differences between the outsourced company and the manufacturing firm, which could affect the effectiveness of the cooperation towards enhanced performance. Methodology: The study was informed by core competency theory. Both descriptive and explanatory research designs were adopted. The unit of observation was the supply chain administrators of manufacturing firms in Kenya. Stratified sampling was conducted on all the one thousand one hundred and twenty three manufacturing firms registered by KAM, simple random sampling was carried out on the strata to identify a sample size of 295 firms. The study relied on primary data which was collected through semi-structured questionnaires that were administered to administrators charged with the management of supply chain within the selected firms. Data analysis was done using descriptive statistics namely percentages, mean and standard deviation through the help of SPSS. Findings: The study revealed that management risk significantly influenced the performance of manufacturing firms in Kenya. The findings further revealed that information flow had a positive but insignificant moderating effect on the relationship between management risk and performance of manufacturing firms in Kenya. Unique Contribution to Theory, Practice and Policy: The study concluded management risk is essential in the performance of manufacturing firms in Kenya.  

Purpose: The purpose of this study was to examine the effect of supply chain technical alliances on performance of manufacturing firms in Kenya Methodology: The correlational research design was used in carrying out the study.  The study used Fisher’s formula to sample 234 manufacturing firms from the total population of 596 registered in Kenya Association of Manufacturers directory. The respondents of the study included managers in all 234 selected manufacturing firms. This research utilized a structured questionnaire to collect data. The study used SPSS version 25.0 to code, process and to carry out descriptive and inferential analysis. The analysed data was displayed using tables, graphs, and bar charts. Results: Supply chain technical alliances has positive and significant relationship with performance of manufacturing firms in Kenya at p<0.05. This implies that upholding and enhancing supply chain technical alliances activities leads to improvements in performance of manufacturing firms in Kenya. The regression model established that the R value was 0.651 while the R2 was 0.423 which indicated that the variability of the supply chain technical alliances on the performance of manufacturing firms in Kenya could be explained by up to 63.1% of the model and the P-value was 0.000<0.05. This implies that the model was fit to determine the relationship between supply chain technical alliances and performance of manufacturing firms in Kenya and therein make conclusions and recommendations. Unique Contribution to Theory, Practice and Policy: While the existing Social exchange theory of supply chain technical alliances used in this study was validated, the study recommends that managers in each manufacturing firm need to consider having supply chain technical alliances strategies in place as it leads to high organizational performance. The firms should ensure they collaborate with other firms on technical skills, sharing technology and acquired knowledge.  The study recommended that manufacturing firms policy makers need to establish a policy framework to expedite effective strategies for supply chain technical alliances adoption to facilitate performance of their business operations.

Purpose: The main objective of this study was to investigate the influence of supplier relationship management on performance of manufacturing firms in Kenya. Methodology: This study employed descriptive research design. The targeted population of this study is comprised of 499 manufacturing companies which are all located in Nairobi and its environs. In order to come up with a representative sample, stratified random sampling method was used since the population is heterogeneous. The stratified technique ensured that each sector in the target population has an equal chance of being selected. There were 217 respondents sampled from the 499 manufacturing firms out of 217 ,180 respondents returned the questionnaires for analysis. The study adopted a descriptive survey design. Data was collected using self-administered questionnaires which were tested for validity and reliability using 10% of the total sample respondents. Quantitative data was analyzed using both descriptive and inferential statistics and with the help of SPSS version 23 while qualitative data was analyzed descriptively. Linear and multiple regression models were used to show the relationship between the dependent variable and the independent variables. The information was presented using tables, charts, frequencies, percentages and graphs. Findings: The study established that there exists a positive influence of supplier relations management on performance management of manufacturing firms in Kenya at 5% level of significant (β=0.295, P<0.05). This indicates that as the level of supplier relationship management increases also performance of manufacturing firms in Kenya increases significantly. Unique contribution to theory, practice and policy: The study provides evidence that indeed supply relationship management as a strategic alliance influences performance in these organizations. In addition, the study is of benefit to the government of Kenya who should create awareness of their policies through training of the key stakeholders for this organizations since the majority of the respondents 53.17% indicated that the government policies and strategies are ineffective. Supply relationship management had significant effect on organization performance and this requires that to improve on quality production and lead time, manufacturing firms must also improve their supply relationship management. Since the quality of the products has not significantly improved for the last 5 years, more strategies must be put in place to incorporate technology which will aid to improve the quality and also maintain required lead time in these organizations.

Purpose: The study sought to check the efficiency of Nairobi Securities Exchange with regard to dividend announcements on semi-strong form of efficiency. Methodology: The study employed event study methodology which is descriptive in nature. Census was carried out to determine which dividend announcements qualified for analysis. The period of study extended for five years from 2012 to 2016. Window period covered 30 days before and 30 days after the announcement. Average abnormal returns were evaluated for significance at 95% confidence level. Findings: The results indicated that the market was efficient for 4 years except one year where the market was found to be inefficient in semi strong form perhaps due to the prevailing economic conditions during the year. Unique contribution to theory, practice and policy: This study recommended that the NSE be checked for efficiency from time to time. This is informed by the fact that an efficient market allocates the resources optimally from areas they are less required to sectors they are highly required hence contributing to economic development. The study recommends regulatory bodies to come up with strategies to enhance and sustain efficiency at NSE.