Big Data-Driven Disaster Management: A Key Approach for Smart Humanitarian Activity

Li, Xiaohan; Lv, Yanbing

doi:10.1109/icct52962.2021.9657900

Cited by 2 publications

(2 citation statements)

References 28 publications

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“…By including various data such as educational history, work experience, and skills test results, Big Data systems can help detail the profile of prospective employees with a higher degree of accuracy (Roumell & Roessger, 2019). Enhanced recruitment efficiency by Big Data can also be reflected in reducing the time required to complete the recruitment process (Li & Lv, 2021). With careful data analysis, organizations can identify the most effective search sources, develop targeted recruitment strategies, and respond to workforce needs more quickly (Oswald et al, 2020).…”

Section: Recruitment Efficiencymentioning

confidence: 99%

“…Aspects such as cultural fit, creativity, and other human factors may be challenging to measure with data and require more complex human judgment, increasing difficulty in achieving total efficiency by leveraging Big Data (Gomathi et al, 2023). Non-optimal implementation of Big Data can be an additional obstacle (Li & Lv, 2021). Lack of good data integration, weaknesses in data analysis algorithms, or lack of understanding by the HR team regarding optimally using the information generated by Big Data can hinder the achievement of the expected recruitment efficiency (Amer-Yahia & Basu Roy, 2021).…”

Section: Recruitment Efficiencymentioning

confidence: 99%

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Big Data Analysis in Human Resources Decision Making: Optimizing Workforce Management

Heliana,

Wahyuni

2024

jrmsi

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This research aims to conduct an in-depth analysis of the application of Big Data in human resource decision-making, focusing on optimizing workforce management. By measuring four main variables, namely recruitment efficiency, accuracy of employee selection, employee development, and organizational performance based on HR decision-making—Big Data analysis is expected to provide a deeper understanding of workforce dynamics. The research results show that applying Big Data can build recruitment efficiency, increase the accuracy of employee selection, support more appropriate employee development, and ultimately improve overall organizational performance. Big Data makes organizational performance based on HR decision-making by providing a solid foundation for more effective human resource management strategies. This research uses qualitative methods with the help of the NVivo 12 Plus tool to identify research results. Implementing Big Data in various aspects of human resource management is recognized as a catalyst for positive change in workforce management.

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Section: Recruitment Efficiencymentioning

confidence: 99%

Section: Recruitment Efficiencymentioning

confidence: 99%