Digital Analytics: Modeling for Insights and New Methods

Shaphali Gupta, Agata Leszkiewicz, V. Kumar, Tammo Bijmolt and Dmitriy Potapov

Journal of Interactive Marketing, 2020, vol. 51, issue C, 26-43

Abstract: Firms are increasingly turning towards new-age technologies such as artificial intelligence (AI), the internet of things (IoT), blockchain, and drones, among others, to assist in interacting with their customers. Further, with the prominence of personalization and customer engagement as the go-to customer management strategies, it is essential for firms to understand how to integrate new-age technologies into their existing practices to aid seamlessly in the generation of actionable insights. Towards this end, this study proposes an organizing framework to understand how firms can use digital analytics, within the changing technology landscape, to generate consumer insights. The proposed framework begins by recognizing the forces that are external to the firm then lead to the generation of specific capabilities by the firm. Further, the firms capabilities can lead to the generation of insights for decision-making that can be data-driven and/or analytics-driven. Finally, the proposed framework identifies the creation of value-based outcomes for firms and customers resulting from the insights generated. Additionally, we identify moderators that influence: (a) the impact of external forces on the development of firm capabilities, and (b) the creation of insights and subsequent firm outcomes. This study also identifies questions for future research that combines the inclusion of new-age technologies, generation of strategic insights, and the achievement of established firm outcomes.

Keywords: Digital analytics; Internet of things; Artificial intelligence; Drones; Blockchain; Firm capabilities (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:joinma:v:51:y:2020:i:c:p:26-43

DOI: 10.1016/j.intmar.2020.04.003

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