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Article
Publication date: 12 June 2017

Joseph Kwon, Ingoo Han and Byoungsoo Kim

Social media have attracted attention as an information channel for content generated in heterogeneous internet services. Focusing on social media platforms, the purpose…

Abstract

Purpose

Social media have attracted attention as an information channel for content generated in heterogeneous internet services. Focusing on social media platforms, the purpose of this paper is to examine the factors behind social transmission with content crossover from other services through hypertext link (URL). The authors investigate the effects of source influence and peer referrals on diffusion outcome and address their variations in the case of content crossover.

Design/methodology/approach

The authors use a Poisson regression model due to the discrete nature of the dependent variable. The authors conduct an empirical study using 233 million real transaction data generated by 1,203,196 Korean users of Twitter.

Findings

Source influence and peer referral have a positive impact on cascade size in the content dissemination process. In the case of content crossover, the impact of source influence decreases. However, the impact of peer referrals increases in the process of external content dissemination.

Research limitations/implications

The authors demonstrate source and peer effects on content diffusion and that these effects vary when shared content is linked from an external service by a URL.

Practical implications

The findings indicate that firms that wish to diffuse information through social media or enter the social media with new services to provide new ways of creating and sharing content should understand the nature of the social transmission process.

Originality/value

Given the growing popularity of social media, particularly SNSs with online social networks as information channels, the authors first consider online social transmission as a user-driven diffusion process. Based on social factors in the diffusion process, the authors derive source and peer effects on the social transmission process.

Details

Industrial Management & Data Systems, vol. 117 no. 5
Type: Research Article
ISSN: 0263-5577

Keywords

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Article
Publication date: 2 February 2015

Byoungsoo Kim and Jinyoung Min

The purpose of this paper is to investigate the effects of dedication- and constraint-based mechanisms on users’ post-adoption behavior in the social networking site (SNS…

Abstract

Purpose

The purpose of this paper is to investigate the effects of dedication- and constraint-based mechanisms on users’ post-adoption behavior in the social networking site (SNS) context.

Design/methodology/approach

The proposed framework uses user satisfaction and trust belief to capture the dedication-based mechanism and perceived switching costs and social norms to capture the constraint-based mechanism. Hypotheses were tested by applying partial least squares to data from 250 experienced Facebook users. A structural equation modeling was used to test the validity of the proposed research models.

Findings

The analysis results show that SNS users’ continuance intention is jointly affected by two distinctive mechanisms: a dedication-based one and a constraint-based one, the former playing a more critical role. The findings indicate that both perceived relative benefits and perceived enjoyment significantly influence user satisfaction. Learning and network size were found to be the key predictors of perceived switching costs.

Research limitations/implications

This study applies the dedication- and constraint-based models by incorporating numerous sets of antecedents. The framework provides a theoretical lens of how two distinctive mechanisms influence SNS users’ post-adoption behaviors.

Practical implications

The analysis results provide several insights that can aid SNS providers understand SNS users post-adoption behaviors. Moreover, the findings will help SNS providers effectively facilitate dedication- and constraint-based mechanisms by enhancing the key antecedents of two distinctive mechanisms.

Originality/value

SNSs have become an important component of individuals lives. However, few systematic works investigate the fundamental mechanisms leading to SNS users’ continued usage. In an attempt to extend the horizons of SNS research, this study incorporates a set of antecedents to dedication- and constraint-based models.

Details

Internet Research, vol. 25 no. 1
Type: Research Article
ISSN: 1066-2243

Keywords

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Article
Publication date: 9 September 2013

Minhyung Kang and Byoungsoo Kim

This paper suggests embedded resources as a new dimension of social capital and aims to prove its value in the knowledge transfer context.

Abstract

Purpose

This paper suggests embedded resources as a new dimension of social capital and aims to prove its value in the knowledge transfer context.

Design/methodology/approach

Hierarchical multiple regression was adopted to analyse survey responses from 337 R&D employees. Barron and Kenny's mediation test was also conducted to test an indirect effect of embedded resources.

Findings

In addition to the traditional three dimensions of social capital, the embedded resources dimension showed direct and indirect effects on knowledge transfer. Additionally, cognitive similarity among R&D employees was from the professional tenure rather than company tenure.

Research limitations/implications

Despite the limitations of cross-sectional study and R&D focused sample, this study successfully extended existing research on social capital in the knowledge transfer context by validating the role of embedded resources as a new dimension of social capital.

Practical implications

Facilitating social networks among employees is not enough for active knowledge transfer. Each employee should be guided to connect to the right experts who have the right knowledge (i.e. embedded resources) for his or her job.

Originality/value

Traditional dimensions of social capital were biased towards social relationships. This paper emphasized social assets (i.e. embedded resources) as a new dimension of social capital.

Details

Journal of Knowledge Management, vol. 17 no. 5
Type: Research Article
ISSN: 1367-3270

Keywords

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