Big data analytics performance from employee point of view

Larasati, Nararia Retno Dwi Mega; Luturlean, Bachruddin Saleh; Saragih, Romat; Fakhri, Mahendra

doi:10.1117/12.3011613

International Conference on Mathematical and Statistical Physics, Computational Science, Education and Communication (ICMSCE 20 2023

DOI: 10.1117/12.3011613

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Big data analytics performance from employee point of view

Nararia Retno Dwi Mega Larasati,

Bachruddin Saleh Luturlean,

Romat Saragih

et al.

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2024

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Cited by 1 publication

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Investigating Employee Satisfaction and Corporate Performance: Mining From Employer Branding

Izharuddin,

Susilo Hadi

2024

jbmp

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This study investigates the relationship between employee satisfaction and corporate performance using data mining techniques on anonymous employee feedback. The study tries to determine how employee satisfaction affects company performance. Textual analysis of employee reviews was carried out using a data mining approach in order to find relationships between satisfaction and performance. The investigation highlighted major employee satisfaction elements such as salary and benefits, work-life balance, workload, career development, and management, all of which have a significant impact on business success. Interestingly, work-life balance and workload were found to be negatively correlated with performance. These findings offer useful insights for employer branding efforts, underlining the need of addressing certain components of employee happiness in order to improve overall corporate performance.

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Investigating Employee Satisfaction and Corporate Performance: Mining From Employer Branding

Izharuddin,

Susilo Hadi

2024

jbmp

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Big data analytics performance from employee point of view

Cited by 1 publication

References 21 publications

Investigating Employee Satisfaction and Corporate Performance: Mining From Employer Branding

Investigating Employee Satisfaction and Corporate Performance: Mining From Employer Branding

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