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Economic Impacts on International Retail: : Determining Business Challenges and Opportunities Using Descriptive and Predictive Analyses / Colin Fu.

Sage Business Data Decisions Available online

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Format:
Book
Author/Creator:
Fu, Colin, author.
Language:
English
Subjects (All):
International business enterprises.
Physical Description:
1 online resource
Other Title:
Economic Impacts on International Retail
Place of Publication:
[Place of publication not identified] : SAGE Publications, Inc., 2024.
Summary:
This Data Challenge explores the role of CultuCross, which is a multicategory consumer goods global retailer with a focus on its operations in the United Kingdom and Malaysia. At the heart of the analysis is Farid Rahman, an insightful analyst whose journey through these diverse markets reflects CultuCross's international challenges and opportunities. The study aims to uncover the various challenges and opportunities faced by CultuCross in 2023 and beyond using robust strategic analysis of performance metrics across retail sectors within the United Kingdom and Malaysia. Key areas of focus include market dynamics, cross-cultural management, and the ever-changing international contexts that shape the global business landscape. This exploration requires applying various strategic frameworks to interpret both external and internal factors that affect CultuCross's operational efficacy. The outcome is a set of strategic recommendations, drawn from data-driven insights, designed to enhance CultuCross's industry position and guide its future trajectory. An interdisciplinary approach is employed, integrating principles of international business strategy, change management, and crisis management. This Data Challenge is significant both academically and practically, offering insights into international business management, and is particularly relevant for those studying or engaged in global retail operations. The prerequisites for tackling the challenge include a foundational understanding of statistics, Excel proficiency, and basic predictive analytics knowledge.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
1-0719-6682-0
9781071966822
OCLC:
1463974159

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