Date of Conferral

6-4-2024

Date of Award

June 2024

Degree

Ph.D.

School

Management

Advisor

Richard Dool

Abstract

The diffusion of big data technology undergirds a fast and far-reaching digitalization process that has posed challenges for many supply chain organizations. Big data refers to large volumes of data from various sources in real time. Although the literature indicates the benefits and challenges of deploying big data within supply chain operations, there is a lack of research on the problem of lag-behind and the impact of digital disruption. The purpose of this study was to examine the impact of big data and leadership strategy on supply chain management. The research questions focused on the current perceptions of big data by modeling the concepts of assimilation. A qualitative Delphi method was used to gather multiple sources of information through three rounds of questionnaire to derive consensus. A purposive sampling procedure was used to select at least 30 participants to form the expert panel in this study, the overall 78 expertise were involved in the process. The Delphi findings contribute to the extant knowledge by identifying opportunities, challenges, barriers, and strategies linked to the emerging 5Vs (volume, velocity, veracity, variety, and value) digital transformation trend from the perspective of supply chain experts. The research addresses a gap in the existing knowledge on the desirability, feasibilities, and challenges of big data related to digital transformation strategy. It further presents a framework for the role of leadership in digital transformation within supply chains. The study may effect positive social change by providing knowledge that supply chain leaders can use to transform siloed operations to an ecosystem, which may result in the burgeoning of supply chain infrastructure oriented toward meeting customers’ needs.

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