DigiCall: A Benchmark for Measuring the Maturity of Digital Strategy through Company Earning Calls

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Abstract

Digital transformation reinvents companies, their vision and strategy, organizational structure, processes, capabilities, culture, and enables the development of new or enhanced products and services delivered to customers more efficiently. By formalizing their digital strategy, organizations attempt to plan for their digital transformations and accelerate their company growth. Understanding how successful a company is in its digital transformation starts with accurately measuring its digital maturity levels. However, existing approaches to measuring organizations' digital strategy have inconsistent results, and also do not provide resources (data) for future research to improve. In order to measure the digital strategy maturity of companies and provide a benchmark, we leverage the stateof-the-art NLP models on unstructured data (earning call transcripts), and reach the stateof-the-art levels (94%) for this task. We release 3.691 earning call transcripts and also annotated data set labeled particularly for the digital strategy maturity by linguists.

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APA

Pataci, H., Sun, K., & Ravichandran, T. (2022). DigiCall: A Benchmark for Measuring the Maturity of Digital Strategy through Company Earning Calls. In FinNLP 2022 - 4th Workshop on Financial Technology and Natural Language Processing, Proceedings of the Workshop (pp. 58–67). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2022.finnlp-1.7

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