Date of Conferral
9-5-2024
Date of Award
September 2024
Degree
Ph.D.
School
Management
Advisor
Robert Haussmann
Abstract
Although business leaders are increasingly using large data sets to inform business decisions and corporate strategy, managers of many small- and medium-sized seaports in the Caspian Basin have yet to fully tap into Big Data’s potential for optimizing operations and enhancing global competitiveness. The purpose of this study was to identify how stakeholders incorporated Big Data governance and corporate strategies in the Caspian Sea region's small- and medium-sized ports. A qualitative approach featuring semi-structured interviews was used. The 14 research interviews were conducted in a virtual setting, with participants recruited through LinkedIn, a professional social network, based on their professional roles, level of expertise, and involvement in decision-making processes related to Big Data governance and corporate strategy development, ensuring they possessed unique insights relevant to the research question. Data analysis revealed essential elements required for successful integration between Big Data governance and corporate strategy in Caspian Basin ports. Based on the findings, a proposed strategic data alignment framework was developed that combines best practices for controlling large volumes of information assets. The tailoring of Big Data governance could allow organizational leaders to achieve long-term objectives. The study has implications for positive social change in the port industry within the target region and globally because it provides knowledge that stakeholders can potentially use to improve operational efficiency and decision-making and capacity-building measures, among others. Future studies are recommended, especially of different business categories.
Recommended Citation
Alekberli (Alakbarli), Rahid Zahid, "Integrating Big Data Governance and Corporate Strategies in Small and Medium Caspian Basin Seaports" (2024). Walden Dissertations and Doctoral Studies. 16316.
https://scholarworks.waldenu.edu/dissertations/16316