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An Assessment of Digitalization Techniques in Contact Centers and Their Impact on Agent Performance and Well-Being

Author

Listed:
  • Massimo Pacella

    (Department of Engineering for Innovation, University of Salento, 73100 Lecce, Italy)

  • Paride Vasco

    (Department of Engineering for Innovation, University of Salento, 73100 Lecce, Italy)

  • Gabriele Papadia

    (Department of Engineering for Innovation, University of Salento, 73100 Lecce, Italy)

  • Vincenzo Giliberti

    (IN & OUT S.p.A. a Socio Unico Teleperformance S.E., 74121 Taranto, Italy)

Abstract

The role of contact centers in improving the operational efficiency of numerous organizations is of utmost importance. Presently, digitalization technology has enabled contact centers to deliver exceptional customer service and support, while minimizing the adverse impact on agent well-being. Artificial intelligence techniques such as topic modeling and sentiment analysis can aid agents in addressing specific queries, providing real-time support and feedback, and helping them build stronger relationships with customers. This study aims to investigate the advantages of integrating these techniques in the analysis of customer–agent conversations within contact centers. This study examines whether there is a discernible advantage in analyzing customer–agent conversations in real-time and whether it is worth using this type of digitization to enhance agent performance and well-being. Furthermore, this study explores the impact of these technologies on European privacy, business, real-time agent support, the value of conversation data, brand reputation, and customer satisfaction. The results of this study demonstrate the significance of incorporating topic modeling and sentiment analysis into the analysis of customer–agent conversations at contact centers.

Suggested Citation

  • Massimo Pacella & Paride Vasco & Gabriele Papadia & Vincenzo Giliberti, 2024. "An Assessment of Digitalization Techniques in Contact Centers and Their Impact on Agent Performance and Well-Being," Sustainability, MDPI, vol. 16(2), pages 1-20, January.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:2:p:714-:d:1318819
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    References listed on IDEAS

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    1. Sheth, Jagdish N. & Jain, Varsha & Ambika, Anupama, 2023. "The growing importance of customer-centric support services for improving customer experience," Journal of Business Research, Elsevier, vol. 164(C).
    2. Pedota, Mattia & Grilli, Luca & Piscitello, Lucia, 2023. "Technology adoption and upskilling in the wake of Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    3. Joel Mero (Järvinen), 2018. "The effects of two-way communication and chat service usage on consumer attitudes in the e-commerce retailing sector," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(2), pages 205-217, May.
    4. Hornik, Jacob & Miniero, Giulia, 2009. "Synchrony effects on customers' responses and behaviors," International Journal of Research in Marketing, Elsevier, vol. 26(1), pages 34-40.
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