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1 – 3 of 3Pratyush Bharati, Wei Zhang and Abhijit Chaudhury
– The purpose of this paper is to explore social media’s impact on organizational knowledge quality through the theoretical lens of social capital and resource exchange.
Abstract
Purpose
The purpose of this paper is to explore social media’s impact on organizational knowledge quality through the theoretical lens of social capital and resource exchange.
Design/methodology/approach
This is a theory-confirming, quantitative study using panel data collected through a Web-based survey.
Findings
The results show that while social media affects structural capital and cognitive capital directly, it only affects relational capital indirectly through structural and cognitive capital. Moreover, overall social media and the enhanced social capital do help promote organizational efforts in knowledge management, which subsequently leads to a higher level of organizational knowledge quality.
Research limitations/implications
All survey respondents were from the USA, which may limit the generalizability of the findings. The authors also call for more research in establishing the time sequence in the proposed causal relations and in the individual-level mechanism through which social media promotes organizational knowledge quality.
Practical implications
This study highlights both the potential and limitations of social media in promoting organizational knowledge management. Businesses must consciously manage the assimilation and use of social media to benefit from them.
Originality/value
The authors position the study at the intersection of social media, social capital and knowledge management and explicate how social media work through social capital and organizational knowledge management efforts to affect knowledge quality.
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Keywords
Pratyush Bharati and Daniel Berg
System quality, information quality, user IS characteristics, employee IS performance and technical support are identified as important elements that influence service quality. A…
Abstract
System quality, information quality, user IS characteristics, employee IS performance and technical support are identified as important elements that influence service quality. A model interrelating these constructs is proposed. Data collected through a national survey of IS departments in electric utility firms was used to test the model using regression and path analysis methodology. The results suggest that system quality, information quality, user IS characteristics, through their effects on employee IS performance, influence service quality, while technical support influences service quality directly. The results also suggest that employee IS performance contributes more to service quality compared with technical support. Implications of this research for IS theory and practice are discussed.
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