People Analytics: Augmenting Horizon from Predictive Analytics to Prescriptive Analytics

Singh, Anurag; Singh, Hardeep; Singh, Ashutosh

doi:10.1007/978-3-030-82763-2_13

Cited by 9 publications

(2 citation statements)

References 10 publications

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“…As a manager, it is crucial to understand the needs of employees without compromising those of the organization. The generated predictive model will not only help comprehend the psychology of existing employees (Singh et al, 2022), but also the demands and expectations of future employees. It also gives managers an edge as they can devise a proactive strategy for employee productivity (Haller, 2022).…”

Section: Practical Implicationsmentioning

confidence: 99%

Sustainable training practices: predicting job satisfaction and employee behavior using machine learning techniques

et al. 2023

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This study evaluates Sustainable Training Practices (STP) that promote organizational growth and ensure the attainment of sustainable HRM objectives. First, we employ Structural Equation Modelling to identify relationships between STP, Psychological Contract Fulfilment, Job Satisfaction, and Organizational Citizenship Behavior. Next, we build a predictive model using the RF Regression Supervised Machine Learning technique to identify the key predictors. Our findings indicate that employee happiness, expectation fulfilment, and behavior are highly dependent on the STPs offered to them. In addition, we find that machine learning is crucial because it reveals hidden features that are sometimes overlooked by conventional methods.

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Section: Practical Implicationsmentioning

confidence: 99%

Sustainable training practices: predicting job satisfaction and employee behavior using machine learning techniques

et al. 2023

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“…The results showed that they can improve the readiness and ability of human resources based on changes in quality management 4.0. Singh et al, (2022) in their work consider the forecast and directive policy of labor potential. Predictive people analytics helps predict the future for effective decision-making by business entities, while directive people analytics provides reasonable recommendations on the minimum next steps to achieve the desired results.…”

Section: Literature Reviewmentioning

confidence: 99%

Labor potential as a factor of ensuring competitive advantages of business entities in Ukraine

Andrusiv,

Popadynets,

Zelinska

et al. 2023

Production Engineering Archives

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The purpose of the article is to justify the use of a matrix approach to the interpretation of the results of evaluating the effectiveness of the development of labor potential. As evaluation indicators, we propose the level of management of labor potential, which is determined using the grapho-analytical method “potential square” and the level of management of the competitiveness of the business entity, which is determined using the graphic method “polygon of competitiveness”. To identify these indicators, we used a developed three-point aggregated scale, which made it possible to quantitatively divide the formed quadrants according to threshold values: the zone of high efficiency in the use of labor potential (quadrant 9(MLLPQPHigh; MLCBECBHigh)), average (quadrants 3 (MLLPQPHigh; MLCBEC-BLow), 5 (MLLPQPAverage; MLCBECBAverage), 6 (MLLPQPHigh; MLCBECBAverage), 7 (MLLPQPLow; MLCBECBHigh), 8 (MLLPQPAverage; MLCBECBHigh)), and low (quadrants 1 (MLLPQPLow; MLCBECBLow), 2 (MLLPQPAverage; MLCBECBLow), 4 (MLLPQPLow; MLCBECBAverage)). The value of the research lies in the fact that the proposed matrix approach to the results of evaluating the effectiveness of the development of labor potential makes it possible to take measures to improve its management. It is emphasized that in today’s conditions and the limitation of financial resources, the vector of management should be aimed at preserving the labor potential, using its opportunities and experience.

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Data-Driven Decision Making: Application of People Analytics in Human Resource Management

Stankevičiūtė

2024

Intelligent Systems Reference Library

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People Analytics: Augmenting Horizon from Predictive Analytics to Prescriptive Analytics

Cited by 9 publications

References 10 publications

Sustainable training practices: predicting job satisfaction and employee behavior using machine learning techniques

Sustainable training practices: predicting job satisfaction and employee behavior using machine learning techniques

Labor potential as a factor of ensuring competitive advantages of business entities in Ukraine

Data-Driven Decision Making: Application of People Analytics in Human Resource Management

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