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

Hilal Pataci, Kexuan Sun, T. Ravichandran
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Abstract

Digital transformation reinvents companies, their vision and strategy, organizational structure, processes, capabilities, and culture, and enables the development of new or enhanced products and services delivered to customers more efficiently. Organizations, by formalizing their digital strategy attempt to plan for their digital transformations and accelerate their company growth. Understanding how successful a company is in its digital transformation starts with accurate measurement of its digital maturity levels. However, existing approaches to measuring organizations’ digital strategy have low accuracy levels and this leads to inconsistent results, and also does not provide resources (data) for future research to improve. In order to measure the digital strategy maturity of companies, we leverage the state-of-the-art NLP models on unstructured data (earning call transcripts), and reach the state-of-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. Our work provides an empirical baseline for research in industry and management science.
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DigiCall:通过公司盈利电话衡量数字战略成熟度的基准
数字化转型重塑了公司及其愿景和战略、组织结构、流程、能力和文化,并使开发新的或增强的产品和服务能够更有效地交付给客户。组织,通过形式化他们的数字战略,试图计划他们的数字化转型,加速他们的公司发展。要了解一家公司的数字化转型有多成功,首先要准确衡量其数字化成熟度水平。然而,现有的衡量组织数字化战略的方法准确性较低,这导致结果不一致,也没有为未来的研究提供资源(数据)来改进。为了衡量公司的数字战略成熟度,我们利用最先进的非结构化数据(赚取电话记录)的NLP模型,并达到了这项任务的最先进水平(94%)。我们发布了3.691个盈利电话记录和注释数据集,语言学家特别标记了数字战略成熟度。我们的工作为工业和管理科学的研究提供了一个经验基准。
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