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CSR Image Construction of Chinese Construction Enterprises in Africa Based on Data Mining and Corpus Analysis
المؤلفون المشاركون
Yingying-Zhou, Pablo
Zhong, Yaoping
Zhu, Wenzhong
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-07-15
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
Since there is negative coverage of some western media on the business activities of Chinese overseas enterprises, which has adverse impact on the image of Chinese enterprises and even the national image of China, this study aims to detect the corporate social responsibility image (hereafter CSR image) of Chinese construction enterprises in Africa (hereafter CCEA) through analyzing the coverage of Financial Times (hereafter FT) from the UK and The Wall Street Journal (hereafter WSJ) from the US and dig up the motives behind their coverage.
Octopus is first applied to mine and collect the reports data on CCEA from 2011 to 2019 by the two media.
Two small corpora including the reports are then built.
NVivo is next used to do the statistical analysis and clustering analysis of the keywords in two corpora as a whole and AntConc is finally utilized to do the statistics of high-frequency evaluative adjectives and nouns modified by evaluative adjectives as well as the concordance of the low-frequency words but closely relevant to corporate social responsibility (hereafter CSR) in two corpora, respectively.
The results of the detailed analyses of the keywords are combined to unveil the CSR image of CCEA, which is followed by a discussion about the motives behind the coverage and finally some suggestions are put forward to improve the CSR image of CCEA.
Theoretically, the present study promotes the interaction among data science, management, communications, and linguistics; practically it offers some advice to CCEA to elevate their CSR image.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhong, Yaoping& Zhu, Wenzhong& Yingying-Zhou, Pablo. 2020. CSR Image Construction of Chinese Construction Enterprises in Africa Based on Data Mining and Corpus Analysis. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1197823
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhong, Yaoping…[et al.]. CSR Image Construction of Chinese Construction Enterprises in Africa Based on Data Mining and Corpus Analysis. Mathematical Problems in Engineering No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1197823
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhong, Yaoping& Zhu, Wenzhong& Yingying-Zhou, Pablo. CSR Image Construction of Chinese Construction Enterprises in Africa Based on Data Mining and Corpus Analysis. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1197823
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1197823
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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