The Impact of Sustainable Practices of Green Knowledge Sharing on Competitive Capabilities: Applied Study for a Sample of Mastercard Workers in Iraq
| المصدر: | مجلة القادسية للعلوم الإدارية والاقتصادية |
|---|---|
| الناشر: | جامعة القادسية - كلية الادارة والاقتصاد |
| المؤلف الرئيسي: | Kadhim, Sanaa Jawad (Author) |
| مؤلفين آخرين: | Rahman, Sahar Jabbar (Co-Author) |
| المجلد/العدد: | مج25, ع2 |
| محكمة: | نعم |
| الدولة: |
العراق |
| التاريخ الميلادي: |
2023
|
| الصفحات: | 131 - 139 |
| ISSN: |
1816-9171 |
| رقم MD: | 1399017 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | EcoLink |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
Sustainable Practices of Green Knowledge Sharing | Competitive Capabilities
|
| رابط المحتوى: |
الناشر لهذه المادة لم يسمح بإتاحتها. |
| المستخلص: |
The current study aims to reveal the role of sustainable practices of green knowledge sharing in their dimensions (pollution elimination, protection of the knowledge environment, sustainable development) in the competitive capabilities of (creative, marketing, financial, managerial, and human capabilities), the study attempts to address a real problem reflected in the role of sustainable practices of green knowledge sharing in the company of master card in Iraq in sustainable capabilities, where researchers distributed (350) questionnaire randomly to a sample of workers in the company of master card in Iraq, The number of forms (328), or 93.71% response rate, analyzed using the advanced statistical software (SPSS.V.28 & Amos.V.26), is a pioneer in its variables, as it addresses crucial variables that highlight how sustainable practices of green knowledge sharing can be used to improve the organization’s competitiveness. The study summarized a set of conclusions, the most prominent of which was the focus of the company management on directing employees to commit to constantly examining data to get rid of harmful and useless data, which led to the company's understanding of the importance of considering the use of big data in the development of its internal processes. |
|---|---|
| ISSN: |
1816-9171 |
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