Augmenting organizational decision-making with deep learning algorithms: Principles, promises, and challenges

نویسندگان

چکیده

The current expansion of theory and research on artificial intelligence in management organization studies has revitalized the decision-making organizations. In particular, recent advances deep learning (DL) algorithms promise benefits for within organizations, such as assisting employees with information processing, thereby augment their analytical capabilities perhaps help transition to more creative work. We conceptualize process organizations augmented DL algorithm outcomes (such predictions or robust patterns from unstructured data) learning–augmented (DLADM). contribute understanding application by (a) providing an accessible tutorial (b) illustrating DLADM two case drawing image recognition sentiment analysis tasks performed datasets Zalando, a European e-commerce firm, Rotten Tomatoes, review aggregation website movies, respectively. Finally, promises challenges well recommendations managers attending these are also discussed.

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ژورنال

عنوان ژورنال: Journal of Business Research

سال: 2021

ISSN: ['1873-7978', '0148-2963']

DOI: https://doi.org/10.1016/j.jbusres.2020.09.068