Data-driven employee engagement: A pathway to superior customer service

This paper explores the significant correlation between employee engagement and customer service quality, emphasizing the role of data-driven strategies in enhancing organizational outcomes. The paper highlights the importance of using data analytics to understand and improve employee engagement by analyzing key theories that link engagement to customer satisfaction. It discusses the critical metrics used to measure engagement and how data-driven insights can inform HR strategies, leading to superior customer service. The paper also examines the implications of implementing these strategies, addressing potential challenges such as data privacy, misinterpretation, and cultural resistance. Finally, it suggests future research directions, particularly in integrating emerging technologies like AI and machine learning, to refine engagement strategies further and adapt them to diverse work environments. This review underscores the evolving role of data analytics in HR and its potential to transform employee engagement into a key driver of business success.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-30
DOI
https://doi.org/10.5281/zenodo.14937274
Primary Topic
AI and HR Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Data-driven employee engagement: A pathway to superior customer service

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

Data-driven employee engagement: A pathway to superior customer service

article en

Abstract

This paper explores the significant correlation between employee engagement and customer service quality, emphasizing the role of data-driven strategies in enhancing organizational outcomes. The paper highlights the importance of using data analytics to understand and improve employee engagement by analyzing key theories that link engagement to customer satisfaction. It discusses the critical metrics used to measure engagement and how data-driven insights can inform HR strategies, leading to superior customer service. The paper also examines the implications of implementing these strategies, addressing potential challenges such as data privacy, misinterpretation, and cultural resistance. Finally, it suggests future research directions, particularly in integrating emerging technologies like AI and machine learning, to refine engagement strategies further and adapt them to diverse work environments. This review underscores the evolving role of data analytics in HR and its potential to transform employee engagement into a key driver of business success.

Zenodo (CERN European Organization for Nuclear Research)
School of Advanced Study (GB), Teesside University (GB), Rivers State University (NG)
Openalex Percentile: Top 45%
AI and HR Technologies
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