Emerging Technologies Adoption for Improved Job Efficiency in a Knowledge -Driven Work Environment
Abstract
This study focused on the readiness of Business Education postgraduate students to adopt emerging technologies for improved effectiveness in a knowledge-driven work environment. The study was guided by two specific objectives, research questions, and hypotheses. A descriptive survey design was adopted. The population consisted of 111 Business Education postgraduate students from two state owned universities offering Business Education programme. Since the population was manageable, no sampling was done. The data collection instrument was a questionnaire developed by the researchers and validated by three Business Education experts from Rivers State University. The test-retest method using Pearson Product Moment Correlation Coefficient (PPMCC) was used to determine reliability of the instrument, which yielding a coefficient of 0.89 meaning that the instrument is reliable for the study. All the 111 retrieved copies of the instruments were analyzed. Mean and Standard Deviation were used to answer the research questions, while t-test was used to test the hypotheses at 0.05 significance level. The findings revealed that postgraduate students in Rivers State universities agreed to a high extent that they are ready to adopt cloud-based platforms and artificial intelligence for improved job efficiency in a knowledge-driven work environment. Based on the findings, it was recommended that: Administrators of Business Education programs should create opportunities for professional development through cloud-based platforms to enhance effectiveness in a knowledge-driven work environment, all Business Education postgraduate and undergraduate students should be mentored on using cybersecurity, as it is crucial for work job efficiency and educational planners should integrate artificial intelligence into the Business Education program, as it is a trending area needed for work effectiveness in a knowledge-driven work environment.
