Paper Number
1570
Paper Type
Complete Research Paper
Abstract
Existing studies show that unstructured data, such as voice, has emerged as the future of business analytics. However, research on voice analytics in the context of corporate communication is relatively new and still in its infancy. Therefore, in this paper, we investigate the current state of research on voice analytics in the context of corporate communication and derive promising future research directions. Our analysis shows that existing articles in this field can be mainly divided into two different application areas: (I) Financial Management and (II) Financial Anomaly Prediction. Based on the results of these application areas and additional articles focusing on methodological foundations, we derived a research framework on voice analytics in the context of corporate communication. Additionally, we present several promising future research directions for each application area.
Recommended Citation
Scheerschmidt, Tim and Metzler, Dennis Renee, "Voice Analytics Applications and Corporate Communication: Current State and Future Research Directions" (2024). ECIS 2024 Proceedings. 9.
https://aisel.aisnet.org/ecis2024/track02_general/track02_general/9
Voice Analytics Applications and Corporate Communication: Current State and Future Research Directions
Existing studies show that unstructured data, such as voice, has emerged as the future of business analytics. However, research on voice analytics in the context of corporate communication is relatively new and still in its infancy. Therefore, in this paper, we investigate the current state of research on voice analytics in the context of corporate communication and derive promising future research directions. Our analysis shows that existing articles in this field can be mainly divided into two different application areas: (I) Financial Management and (II) Financial Anomaly Prediction. Based on the results of these application areas and additional articles focusing on methodological foundations, we derived a research framework on voice analytics in the context of corporate communication. Additionally, we present several promising future research directions for each application area.
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