Purpose – Korean exports account for a vast proportion of Korean GDP, and large volumes of Korean products are sold in the United States. Identifying and characterizing actual and potential product hazards related to Korean products is critical ...
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https://www.riss.kr/link?id=A107320508
Juthamon Sithipolvanichgul (Thammasat University) ; Alan S. Abrahams (Virginia Tech) ; David M. Goldberg (San Diego State University) ; Nohel Zaman (Loyola Marymount University) ; Milad Baghersad (Florida Atlantic University) ; Leila Nasri (Virginia Tech) ; Peter Ractham (Thammasat University)
2020
-
300
KCI등재,SCOPUS,SSCI
학술저널
39-62(24쪽)
0
0
상세조회0
다운로드다국어 초록 (Multilingual Abstract)
Purpose – Korean exports account for a vast proportion of Korean GDP, and large volumes of Korean products are sold in the United States. Identifying and characterizing actual and potential product hazards related to Korean products is critical ...
Purpose – Korean exports account for a vast proportion of Korean GDP, and large volumes of Korean products are sold in the United States. Identifying and characterizing actual and potential product hazards related to Korean products is critical to safeguard Korean export trade, as severe quality issues can impair Korea’s reputation and reduce global consumer confidence in Korean products. In this study, we develop country-of-origin-based product risk analysis methods for social media with a specific focus on Korean-labeled products, for the purpose of safeguarding Korean export trade. Design/methodology – We employed two social media datasets containing consumer-generated product reviews. Sentiment analysis is a popular text mining technique used to quantify the type and amount of emotion that is expressed in the text. It is a useful tool for gathering customer opinions regarding products. Findings – We document and discuss the specific potential risks found in Korean-labeled products and explain their implications for safeguarding Korean export trade. Finally, we analyze the false positive matches that arise from the established dictionaries that were used for risk discovery and utilize these classification errors to suggest opportunities for the future refinement of the associated automated text analytic methods. Originality/value – Various studies have used online feedback from social media to analyze product defects. However, none of them links their findings to trade promotion and the protection of a specific country’s exports. Therefore, it is important to fill this research gap, which could help to safeguard export trade in Korea.
목차 (Table of Contents)
참고문헌 (Reference)
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2 Abrahams, A. S., "What‘s Buzzing in the Blizzard of Buzz? Automotive Component Isolation in Social Media Postings" 55 (55): 871-882, 2013
3 Cheng, M., "What Do Airbnb Users Care About? An Analysis of Online Review Comments" 76 : 58-70, 2019
4 Abrahams, A. S., "Vehicle Defect Discovery from Social Media" 54 (54): 87-97, 2012
5 Winkler, M., "Toy Safety Surveillance from Online Reviews" 90 : 23-32, 2016
6 Hines, P., "Towards Lean Product Lifecycle Management" 17 (17): 866-887, 2006
7 Lockett, N., "The Use of Hosted Enterprise Applications by Smes : A Dual Market and User Perspective" 16 (16): 85-96, 2006
8 Geraghty, G., "The Study of Traditional and Non-traditional Marketing Communications: Target Marketing in the Events Sector" 2016
9 Lee, L. F., "The Role of Social Media in the Capital Market : Evidence from Consumer Product Recalls" 53 (53): 367-404, 2015
10 Jarrell, G., "The Impact of Product Recalls on the Wealth of Sellers" 93 (93): 512-536, 1985
11 Sithipolvanichgul, J., "The Determinant of Enterprise Risk Management Implementation : Evidence in Thailand and Malaysia" 21 (21): 1-25, 2018
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13 Mummalaneni, V., "Social Media Analytics for Quality Surveillance and Safety Hazard Detection in Baby Cribs" 104 : 260-268, 2018
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Factors of Korea-China Product Trade According to GVC Changes: Focused on FTA
The Impact of COVID-19 and Korea’s New Southern Policy on Its Global Value Chain
학술지 이력
연월일 | 이력구분 | 이력상세 | 등재구분 |
---|---|---|---|
2022 | 평가예정 | 해외DB학술지평가 신청대상 (해외등재 학술지 평가) | |
2021-12-01 | 평가 | 등재후보 탈락 (해외등재 학술지 평가) | |
2020-12-01 | 평가 | 등재후보로 하락 (해외등재 학술지 평가) | |
2007-01-01 | 평가 | SSCI 등재 (등재유지) | |
2005-01-01 | 평가 | 등재학술지 선정 (등재후보2차) | |
2004-01-01 | 평가 | 등재후보 1차 PASS (등재후보1차) | |
2003-01-01 | 평가 | 등재후보학술지 선정 (신규평가) |
학술지 인용정보
기준연도 | WOS-KCI 통합IF(2년) | KCIF(2년) | KCIF(3년) |
---|---|---|---|
2016 | 0.76 | 0.66 | 0.7 |
KCIF(4년) | KCIF(5년) | 중심성지수(3년) | 즉시성지수 |
0.71 | 0.61 | 0.689 | 0.05 |