Financial contagion is the act of spreading of a phenomenon within or from the stock markets sector. Stock markets are highly interlinked and happenings on one side of the world are bound to affect the happenings on another side of the world. The contagion can be because of domestic or international factors. The performance of Nairobi Securities exchange (NSE) was measured by the use of the monthly stock prices as provided by the data vendors at the NSE. This research paper used a quantitative research design where econometric models were used in the analysis. The entire population of the listed firms in the NSE was used. Primary data was collected from the licensed market participants at the NSE. Secondary data during the pre-crisis (April 2006 to July 2007) and post crisis periods (August 2007 to December 2008) were collected using data collection sheets. The data entailed NSE 20 Share Index, FTSE 100 and Standard and Poors and was analyzed using excel and SPSS tools. Hypothesis was tested at 0.05 level of significance and the null hypothesis was rejected at both the primary and the secondary data obtained.

This study develops an effective method to measure value chain performance and rank them based on qualitative criteria and to determine the ranking order of the various forms of performance under study. This approach integrates the advantage of grey systems theory and TOPSIS to evaluate and rank value chain performance. Grey-TOPSIS approach has been applied to measure and rank the value chain performance of various firms. The results indicate that the proposed model is useful to facilitate multi-criteria decision-making (MCDM) problem under the environment of uncertainty and vagueness. The model also provides an appropriate ranking order based on the available alternatives. The Grey-TOPSIS approach that will be useful to the managers to use for solving the similar type of decision-making problems in their firms in the future has been discussed. Even though, the problem of choosing a suitable performance option is often addressed in practice and research, very few studies are available in the literature of Grey-TOPSIS decision models. Also, Grey-TOPSIS model application in the tea processing firms is non-existence hence this study is the very first to apply this model in evaluating value chain performance in the tea processing firms.

Accounting plays a very crucial role in the management and success or failure of most organizations. As a system, automated information system records and processes data of transaction and events into useful information for use in planning, controlling and operation of businesses. Kenya is a growing economy, and the global pressure has forced it to embrace E-Governance practices. As a result, ways to improve their operations have been placed. This study aimed at establishing the effect of implementing Automated Information Systems (AIS) on the County Government’s operations. The County operations were classified in terms of transparency and record keeping as well as supervision while the AIS was operationalized in terms of the Zizi System, the County Pro System and the Integrated Financial Management Information System (IFMIS). This study employed complete enumeration survey method to collect data from all the twelve sub-counties in Kiambu, Kenya. The respondents were the IT managers, Financial Officers, and the Revenue Officers. Multiple regression was used to test the effect of AIS on the Kenya County Governments’ operation. The findings of this study indicate that implementing the Automated Information Systems had a significant positive effect on the county government’s operations.