Prescriptive Human Resource Analytics and Employee Efficiency of Multinational Oil and Gas Companies in Nigeria

Abstract: This study examined the relationship between prescriptive human resource analytics and employee efficiency in multinational oil and gas companies in Nigeria. The study adopted the cross-sectional research survey design. Primary data was generated through structured questionnaire. The population for this study was 10,238 employees of five multinational oil and gas companies in Nigeria. The sample of 385 was determined using the Taro Yamen’s 1970 formula. The reliability of the instrument was achieved by the use of the Cronbach Alpha coefficient with all the items scoring above 0.70. The hypotheses were tested using the Spearman’s Rank Order Correlation Statistics. The tests were carried out at a 0.05 significance level. Findings revealed that there is a significant relationship between prescriptive human resource analytics and employee efficiency in multinational oil and gas companies in Nigeria. Therefore, the study concludes that prescriptive human resource analytics (HRA) positively enhance employee efficiency in multinational oil and gas companies in Nigeria. Thus, the study recommends that Management of multinational companies should ensure that the organization has robust systems in place to collect, store, and analyse HR-related data effectively. This may involve investing in modern HRIS (Human Resource Information System) platforms capable of integrating data from various sources such as performance reviews, training records, and employee surveys. Keywords: Prescriptive Human Resource Analytics, Employee Efficiency, Timeliness of Work, Target Achievement, Employee Innovativeness

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-01
DOI
https://doi.org/10.5281/zenodo.13623455
Primary Topic
AI and HR Technologies
Type
article
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article

Prescriptive Human Resource Analytics and Employee Efficiency of Multinational Oil and Gas Companies in Nigeria

Zenodo (CERN European Organization for Nuclear Research)
AI and HR Technologies
article

Prescriptive Human Resource Analytics and Employee Efficiency of Multinational Oil and Gas Companies in Nigeria

article en

Abstract

Abstract: This study examined the relationship between prescriptive human resource analytics and employee efficiency in multinational oil and gas companies in Nigeria. The study adopted the cross-sectional research survey design. Primary data was generated through structured questionnaire. The population for this study was 10,238 employees of five multinational oil and gas companies in Nigeria. The sample of 385 was determined using the Taro Yamen’s 1970 formula. The reliability of the instrument was achieved by the use of the Cronbach Alpha coefficient with all the items scoring above 0.70. The hypotheses were tested using the Spearman’s Rank Order Correlation Statistics. The tests were carried out at a 0.05 significance level. Findings revealed that there is a significant relationship between prescriptive human resource analytics and employee efficiency in multinational oil and gas companies in Nigeria. Therefore, the study concludes that prescriptive human resource analytics (HRA) positively enhance employee efficiency in multinational oil and gas companies in Nigeria. Thus, the study recommends that Management of multinational companies should ensure that the organization has robust systems in place to collect, store, and analyse HR-related data effectively. This may involve investing in modern HRIS (Human Resource Information System) platforms capable of integrating data from various sources such as performance reviews, training records, and employee surveys. Keywords: Prescriptive Human Resource Analytics, Employee Efficiency, Timeliness of Work, Target Achievement, Employee Innovativeness

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Openalex Percentile: Top 45%
AI and HR Technologies
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