ABC Journal of Advanced Research

9-19

Authors: Stephen Muriithi Kariungi

In Kenya, the electric power supply is significantly insufficient and covers a mere 20% of the population. Experience has shown that past electric power projects have not realized the expectations in terms of their implementation and quality at entry. This study was undertaken to determine the factors that influence timely completion of power projects within Thika region. These factors were assessed from various project levels; ranging from formulation of project plans, execution, monitoring and evaluation, and closure. The factors responsible for each situation were then identified and analyzed. Research findings were based on this analysis. Descriptive and exploratory research designs were adopted. The target population was project engineers, supervisors and technical staff working in projects. The information pertaining to monitoring and evaluation came from the representatives of project financiers who included Kenya Power and Lighting Company (KPLC) staff and other reliable stakeholders. This information motivated the coverage of all the concerns in different phases of the projects.Simple random sampling was employed to identify the key informants, who were grouped based on common characteristics. Questionnaires, interviews and observation check lists were used to collect data from various respondents based on their suitability. The data collected was then coded and analyzed using SPSS. Measures of central tendency and correlation analysis were used to establish an interaction between the independent and dependent variables. Procurement delays, timely availability of funds and climatic factors were observed to be the main factors that influenced the timely completion of KPLC projects in the studied area.

26-37

Authors: Naznin Alam, Ahsan Kabir Rubel

Worldwide interest is growing day by day about corporate social responsibility (CSR). In the light of the fact stated just now, this paper symbolizes on how customer satisfaction and loyalty are influenced by CSR factors. This paper has investigated the effects of service quality and consumer satisfaction along with corporate social responsibility actions on consumer purchase intentions and further on consumer loyalty. This research was based on primary and secondary data with some structured questionnaire. The primary data has been collected from university students, whereas secondary data was collected from newspapers and website of a related corporation. The data has been analyzed using Factor Analysis. The study found no relationship between awareness of corporate social responsibility and purchase intention. However, significant relationship was observed between service quality and customer satisfaction according to the data. Moreover, there was no relationship between customer satisfaction and purchase intention and purchase intention and consumer retention for telecommunication industry of Bangladesh. The findings of this study are important for corporations and future researchers on corporate social responsibility and consumer behavior in Bangladesh.

47-56

Authors: Sabuj Das

Let spt (n) denote the total number of appearances of the smallest part in each partition of n. In 1988, Garvan gave new combinatorial interpretations of Ramanujan’s partition congruences mod 5, 7 and 11 in terms of a crank for weighted vector partitions. This paper shows how to generate the generating functions for spt(n), elaborately and also shows how to prove the relation among the terms spt (n) and. In 2008, Andrews stated Ramanujan- type congruences for the spt- function mod 5, 7 and 13. The new combinatorial interpretations of the spt- congruences mod 5 and 7 are given in this article. These are in terms of the spt- crank but for a restricted set of vector partitions. The proofs depend on relating the spt- crank with the crank of vector partitions.

68-72

Authors: Jesmin Akter

The Durbin-Watson (DW) test is the most widely used test for autocorrelation of a first order in regression analysis. The critical value of DW test depends on X matrix. As a result, the DW test statistic falls sometime in the inconclusive region. For large sample, the DW test can be used for normal distribution. In this paper, we proposed a bootstrap critical value for small sample and compared the power properties with other procedures. Monte-Carlo study shows that the bootstrapped DW test performs better than the usual DW test with the help of power.