STRATEGIC PLANNING, SCHEDULING AND ORGANISATIONAL PRODUCTIVITY OF GUINNESS NIGERIA PLC
Ayodele Anthony AJALA
Department of Industrial Relations and Human Resource Management, Faculty of Management Sciences, Lagos State University, Ojo, Lagos, Nigeria
Abstract
This study investigated strategic planning, scheduling and organisational productivity of Guinness Nigeria PLC. Two research questions and two hypotheses were raised. Descriptive survey research design was employed. Target population comprised all staff and members of Guinness Nigeria PLC. Convenient sampling was employed to select 100 participants. Data were analysed using descriptive and inferential statistics. Results showed that a significant relationship exists between strategic planning and scheduling and operational efficiency (r = 0.941; p<0.05). The findings shows that there was significant relationship between strategic planning and scheduling and operational efficiency. This implies that strategic planning and scheduling tend to increase operational efficiency significantly. Result found that a significant relationship exists between strategic planning and scheduling and organisational productivity (r = 0.964; p<0.05). The finding indicates that there was significant relationship between strategic planning and scheduling and organisational productivity. It was recommended amongst others that all factors of various dimensions should be put into the right perspective, so as to help the general workforce to understand the primary objectives, the strategic plans and schedules in place in order to achieve the overall objectives of the company. This will enlighten the staff members to jeer towards delivering services to enhance the general strategy of the organisation and to increase its productivity.
Keywords: Efficiency, operations, organisational productivity, scheduling, strategic planning
Journal Name :
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EPRA International Journal of Environmental Economics, Commerce and Educational Management
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Published on : 2024-05-13
Vol | : | 11 |
Issue | : | 5 |
Month | : | May |
Year | : | 2024 |