Issue |
SHS Web Conf.
Volume 208, 2024
2024 International Workshop on Digital Strategic Management (DSM 2024)
|
|
---|---|---|
Article Number | 04018 | |
Number of page(s) | 6 | |
Section | Chapter 4: Digital Management Case Studies | |
DOI | https://doi.org/10.1051/shsconf/202420804018 | |
Published online | 12 December 2024 |
The exploration of Zhoushan Port’s competitive advantage and development strategy
Shanghai Maritime University, Shanghai, China
* Corresponding author: 321147925@qq.com
This paper explores the key factors influencing the performance of retail enterprises through a comprehensive analysis utilizing multivariate regression models. By examining various internal and external determinants such as market orientation, customer satisfaction, employee behavior, and technological investments, the study aims to identify the most significant drivers of retail success. Drawing from existing literature and case analysis, the paper delves into the interplay between these factors and their impact on financial performance, customer loyalty, and overall competitiveness. The research methodology employs a combination of statistical regression techniques to model and quantify the relationships between these variables. Key findings suggest that customer experience management, market orientation, and personalized service strategies play a pivotal role in driving profitability and growth in retail enterprises. The study concludes with recommendations for retail managers on optimizing operational efficiency and enhancing customer-centric strategies to achieve sustainable business outcomes in a highly competitive industry. Furthermore, it highlights potential areas for future research, including the role of digitalization and sustainability in retail performance.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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