کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6836271 | 1434611 | 2018 | 58 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Leveraging your knowledge to my performance: The impact of transactive memory capability on job performance in a social media environment
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
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چکیده انگلیسی
The explosive growth of the internet as the main source of information and knowledge has greatly impacted the manner in which people make use of their memory. As a result, interest in the internet environment, and in particular in the role of transactive memory in a social media environment, has been heightened. Transactive memory is the shared memory system that is formed through interactions between people. Through social media, people have been able to form various human networks, which in turn have made it possible to acquire new information and knowledge. In this sense, the utility of transactive memory has been further increased in a social media environment. This study introduced social interaction, social presence, self-monitoring, and core self-evaluation as the factors impacting the formation of transactive memory capacity. The impacts of transactive memory capability on the tertius iungens orientation and individual job performance were also verified. Data from 225 workers was collected to verify the research model introduced in this study, which was empirically verified using a structural equation model. The study revealed that the four antecedent factors included in the research model significantly impacted individuals' transactive memory capability and that the transactive memory capability positively influenced the tertius iungens orientation and job performance. Lastly, the results of the study were discussed, and the theoretical and practical implications were introduced.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Human Behavior - Volume 80, March 2018, Pages 314-330
Journal: Computers in Human Behavior - Volume 80, March 2018, Pages 314-330
نویسندگان
Kee-Young Kwahk, Do-Hyung Park,