The Effect of Product Differentiation on Profitability in the Petroleum Industry of Ghana (Published)
Firms differentiate their products to avoid ruinous price competition, but performance depends crucially on the degree of location. A company’s physical product offering may be highly differentiated on features not provided by competitors in the same industry, some also differentiate their product on performance with basis on power, professional credibility etc. This research comprises 15 oil marketing companies in Ghana, which is made up of one government owned and 14 privately owned. The population is homogeneous in nature, due to the homogeneity of the population; a cluster sampling technique is used to select just a company out of the population. This selected company is Total Ghana Company. Members were selected using a non probability sampling technique specifically the purposive sampling technique. A total of 30 members were selected and administered with Questionnaires whiles others were also interviewed. The main variables of interest are product differentiation, profitability and patronage of Effimax.
Investigation of Some Factors Affecting Manufacturing Workers Performance In Industries In Anambra State Of Nigeria (Published)
The poor Company’s output is directly related to the poor performance of the production workers, which is a function of how effective are those factors influencing production is maintained in the manufacturing workers. Therefore a survey of the factors affecting manufacturing workers in industries in Anambra State was carried out to ascertain whether there is any effect of the factors on the productivity of workers, and by what degree is the effect, and what improvement to be made in the problems arising in manufacturing due to the factors. Experiments were designed to investigate those identified specific factors that have effect on operators of machines in manufacturing shops to generate data needed in the analyses. Results obtained from the various statistical analyses performed were studied and interpreted. The multi linear regression of correlation coefficients, R and coefficient of determination, R2 of the chosen factors: Power/Energy, safety, Maintenance, Training, and Technology were respectively calculated to justify the data. Other information were presented in graphs and tables validating the claims over the results, whether any of the factors affecting or not affecting the performance of manufacturing workers in Industries in Anambra State. Results obtained show that some of the identified factors affect the performance of manufacturing workers in the manufacturing industries. Finally, there is no co-linearity among the factors.