Tag Archives: Multivariate Analysis

Multivariate Analysis of the Factors that Influence Strategic Management Practices among Commercial Banks in Nigeria (Published)

Strategic management has been widely recognised as very potent tools for enhancing organisational performance, productivity and competitive advantage of organisations.Therefore, this study explores the use of one of the multivariate analysis (Principal Component Analysis) to determine factors that influence the strategic management practices of commercial banks in Nigeria. The study was guided by one objective and one research question. The descriptive survey research design was adopted and the population of the study comprised 1164 employees in the seventeen (17) commercial banks in Nigeria and a sample size of 298 employees of commercial banks was estimated using Taro Yamane Formula. The instrument used in data collection was Factors Affecting Strategic Management Practices Questionnaire (FASMPQ). The instrument was validated by experts and reliability of the instruments was established using Cronbach Alpha and result yielded reliability coefficient of 0.84. Data obtained were analyzed using Principal Component Analysis (PCA) and the result revealed that political and legal environment, demography, socio-cultural environment, economic environment and technological environment were the five major factors that influence strategic management practices. The findings also showed that environmental factors have major influence on strategic management practices among commercial banks in Nigeria. Therefore, it is recommended among other things that commercial banks in the study area should focus on the environmental factor such as political and legal environment, technological environment, economic environment, global and socio-cultural environment as these influence strategic management practices in commercial banks in Nigeria.

Keywords: : Strategic Management Practices, Multivariate Analysis, Principal Component Analysis

Principal Component Analysis of Crime Data in Gwagwalada Area Command, Abuja from 1995 – 2014 (Published)

This paper analyses Abuja crime data which consists of the averages of twenty major crimes reported to the police for the period 1995 – 2014. Correlation analysis and principal component analysis (PCA) were employed to explain the correlation between the crimes and to determine the distribution of the crimes over the three Area Councils under the Gwagwalada Area Command. The result has shown a significant correlation between robbery and rape, grievous hurt and wound (GHW), theft, assault, murder and unlawful escape. Gwagwalada Area Council has the overall crime rate in the Area Command. Rape is more prevalence in Kwali Area Council while unlawful possession and escape is more prevalence in Kuje Area Council Area. The PCA has suggested retaining four components that explain about 94.32 percent of the total variability of the data set.

Keywords: DPHs, Factor Analysis; PCA, GHW, Multivariate Analysis

SUPPLY CHAIN MANAGER COMPETENCIES AND THEIR IMPACT ON SUPPLY CHAIN INTEGRATION (Published)

The level of supply chain professionals’ competencies is a crucial factor to enhance a firm’s competitiveness. Given the limited interdisciplinary study of supply chain management and human resource management, we provide insights of how supply chain manager competencies can impact the supply chain integration of a firm. Starting by developing a list of competencies, using principle component analysis, we achieve two key competencies; namely Technical Knowledge and Application and Traits and Management Skills. Subsequently, we apply multivariate regression to reveal how the two groups of competencies and a supply chain manager’s roles and responsibilities impact differently each dimension of supply chain integration; namely internal integration, supplier integration and customer integration. At a significance level of 0.05, interpretation of regression coefficients reveals that Technical Knowledge and Application impacts internal and customer integration while Traits and Management Skills impacts internal integration. A supply chain manager’s roles and responsibilities impact only internal integration. The findings enable concerned parties to implement actions to enrich supply chain managers of today and in the future.

Keywords: Multivariate Analysis, Regression Analysis, Supply Chain Integration, Supply Chain Manager Competencies

Supply Chain Manager Competencies and Their Impact on Supply Chain Integration (Review Completed - Accepted)

The level of supply chain professionals’ competencies is a crucial factor to enhance a firm’s competitiveness. Given the limited interdisciplinary study of supply chain management and human resource management, we provide insights of how supply chain manager competencies can impact the supply chain integration of a firm. Starting by developing a list of competencies, using principle component analysis, we achieve two key competencies; namely Technical Knowledge and Application and Traits and Management Skills. Subsequently, we apply multivariate regression to reveal how the two groups of competencies and a supply chain manager’s roles and responsibilities impact differently each dimension of supply chain integration; namely internal integration, supplier integration and customer integration. At a significance level of 0.05, interpretation of regression coefficients reveals that Technical Knowledge and Application impacts internal and customer integration while Traits and Management Skills impacts internal integration. A supply chain manager’s roles and responsibilities impact only internal integration. The findings enable concerned parties to implement actions to enrich supply chain managers of today and in the future.

Keywords: Multivariate Analysis, Regression Analysis, Supply Chain Integration, Supply Chain Manager Competencies