Earticle

초록

영어

The World Health Organization's declaration of the COVID-19 pandemic led to significant shifts in the food service industry, with a rise in contactless consumption methods like delivery services, kiosks, and drivethroughs due to social distancing. As people sought to cope with stress and restrictions, consumption patterns, particularly in the coffee industry, saw noticeable changes. This research focuses on analyzing search frequency data related to the "coffee industry" to identify trends, economic impacts, and sustainability. By processing and refining various search terms, the study aims to outline how the coffee sector can adapt and remain competitive in the Next Normal era. Emphasizing sustainability and technology, the research highlights the industry's role in driving sustainable practices and enhancing its position in both local and global markets. Understanding these trends will help businesses and policymakers effectively navigate the evolving coffee industry landscape.

목차

Abstract
1. Introduction
1.1 Background
1.2 Purpose of research
2. Theorical Background
2.1 Coffee industry
2.2 Big data
2.3 New normal 2.0
3. Bigdata Analysis
3.1 Research method
3.2 Word Frequency Analysis
4. Comclusion
References

키워드

저자

• Hyeon-Seok Kim [ Ph. D. student, Department of Immersive Content Convergence, Graduate School, KwangWoon University, Seoul, Korea ]
• Gi-Hwan Ryu [ Professor, Department of Tourism and Food Industry, Graduate School of Smart Convergence, KwangWoon University, Seoul, Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  The International Journal of Advanced Smart Convergence

• 간기

  계간

• pISSN

  2288-2847

• eISSN

  2288-2855

• 수록기간

  2012~2025

• 십진분류

  KDC 326 DDC 380