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Creation of sustainable growth with explainable artificial intelligence: An empirical insight from consumer packaged goods retailers

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dc.contributor.author Behera, Rajat Kumar.
dc.contributor.author Bala, Pradip Kumar.
dc.contributor.author Rana, Nripendra P.
dc.date.accessioned 2023-05-01T23:00:22Z
dc.date.available 2023-05-01T23:00:22Z
dc.date.issued 2023-05-01
dc.identifier.citation Rajat Kumar Behera , Pradip Kumar Bala, and Nripendra P. Rana (2023). Creation of sustainable growth with explainable artificial intelligence: An empirical insight from consumer packaged goods retailers. Journal of Cleaner Production, 399(May), 136605. https://doi.org/10.1016/j.jclepro.2023.136605 en_US
dc.identifier.issn 0959-6526
dc.identifier.uri https://doi.org/10.1016/j.jclepro.2023.136605
dc.identifier.uri http://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/1687
dc.description.abstract Consumer packaged goods retailers can pivot quickly to find new areas of sustainable growth and enable their businesses to compete effectively. Traditionally, they are losing ground to more agile and technologically focused competitors who quickly adapt their operations to shifting market conditions. As a result, such retailers must alter their core technologies. Explainable artificial intelligence is a set of procedures and strategies that allow machine learning algorithms and artificial intelligence models’ results and output to understand and trust. In the era of sustainable digitalisation, there is lack of research on the creation of sustainable growth with explainable artificial intelligence. Therefore, this study is undertaken to uncover how consumer packaged goods retailers can create sustainable growth with explainable artificial intelligence by proposing a unique conceptual model. The source data were collected from 310 individuals from consumer packaged goods retailers and the analysis was performed with quantitative research methodology. The findings suggest that explainable artificial intelligence has the potential to be a formidable weapon in the fight for sustainable growth. With the employment of automated machines, the best decisions for sustainable competitive advantage can be made. In addition, explainable artificial intelligence-powered automated wealth management services and algorithmic trading help to make better financial decisions. The theoretical implications argue the explainability of artificial intelligence systems to offer insights for making impactful decisions. The managerial implications highlight the benefits of the adoption of explainable artificial intelligence for sustainable growth, such as increase in trust, complying with legal regulations and providing data-driven actionable analytical insights. Sustainable growth set more responsibility towards customers for profitable future. en_US
dc.language.iso en en_US
dc.publisher Journal of Cleaner Production en_US
dc.subject Technologies en_US
dc.subject Machine learning algorithms en_US
dc.subject IIM Ranchi en_US
dc.title Creation of sustainable growth with explainable artificial intelligence: An empirical insight from consumer packaged goods retailers en_US
dc.type Article en_US
dc.volume 399 en_US
dc.issue May en_US


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