Impact Of HRM In The Oil Industry

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Achieving 70% agreement levels in this round on all questions was difficult. Likewise, questions on transportation and supply management achieved 60% agreement levels, while 60% disagreement levels were achieved with questions on human resource management (HRM). However, the questions were to find out if HRM was not essential in the successful implementation and management of SCM in the oil industry. Therefore, the level of agreement was satisfactory in acknowledging the impact of HRM in sustaining effective supply chain management. Furthermore, 80% disagreement levels were observed on a particular question on inventory management in crude oil supply chains, with respondents disagreeing unanimously that you cannot have an effective supply …show more content…
Nonetheless, respondents were split in their feedback with 40% agreeing that increased demand will require operational contingencies in port transfer and crude oil despatch, while 40% disagreed that there will be no need to take precautions in regards to port management. In addition, the remaining 20% were undecided or did not want to comment. Furthermore, achieving the countries infrastructural economic and social goals in the Nigerian vision 2020 plan was not viewed by respondents to depend on crude oil exports to China alone, because respondents were also split in their outlook with 40% believing it would influence mobilisation of infrastructural development through increased oil revenue, while the other 40% did not agree; they envisage that Nigeria’s entire oil output as a whole would be considered as important to the countries future economic development plans. Similarly the remaining 20% were not sure of the content of the plan or did not want to comment. Lastly, all respondents in the second round were unable to comment on the frequency of shipments required to satisfy demand, and the effects of crude oil quality on China’s oil demand from …show more content…
In round one the respondent’s median number of agreements was 5.5 from a total of 133 responses, while in the second round the mean was 3 from a total of 57 responses. These showed that half the questions had more than 5.5 agreements each, and similarly in the second round Delphi there were 3 agreements each. However, considering the difference in the number of respondents i.e.14 in round one and 6 in round two, the number of respondents who agreed with questions asked, increased to a fourth quartile range of 13 and inter-quartile range of 9.5. Overall there was a higher rate of agreement in the first round Delphi, than the second round Delphi. Although, the number of respondents dropped to 6 in the second round, the fourth quartile range was 4, with an inter-quartile range of 2.25 agreements.
In addition, assessing the homogeneity of respondents followed an identification of differences in the responses of the first four respondents and the last four respondents in round one, produced a p-value of 1.0 (two-tailed Fischer’s exact test). Likewise, the p-value for round two was 1.0 for the first and last two respondents. Moreover, these proved that the association between respondents, and their outcomes (responses) was not statistically

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