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Affect TPB: A model to predict knowledge sharing behavior by considering affect, social communication behavior and social collaboration behavior


Article Information

Title: Affect TPB: A model to predict knowledge sharing behavior by considering affect, social communication behavior and social collaboration behavior

Authors: Ng Chuee Leng, Angela Siew-Hoong Lee, Tong-Ming Lim

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2016

Volume: 11

Issue: 22

Language: English

Categories

Abstract

Many Web 2.0 interactive online sites have grown at an alarming rate and they have changed the communication and collaboration behavior of knowledge workers in knowledge driven organizations. Social networking sites are online platforms that allow people to collaborate and communicate through a variety of services. These social networking sites drive new forms of social interaction, allowing users to intermingle and cooperate with each other by exchanging ideas by posting updates and comments. It is crucial to comprehend how social relationships affect the content shared among knowledge workers in virtual worlds. Lately many social network features were introduced based on some feedbacks found by researchers in the area of affective computing. Since affect is a thorny and cryptic area of research in psychology field, it is unidentified whether the knowledge sharing activity and the affect are closely related in the Information Systems research. Hence this research investigates the relationships of positive and negative affect and knowledge sharing attitude among knowledge workers in organization. Furthermore, the influence of social communication and social collaboration behavior on knowledge sharing behavior will also be analyzed in the proposed Affect TPB Model.


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