Factors determining the flow of information among the online community users

Choraria, Sapna

doi:10.1108/13287261211232135

Cited by 7 publications

(4 citation statements)

References 35 publications

(60 reference statements)

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“…Humanities students were also more likely than science and engineering students to access media-sharing sites for news and opinions. Some researchers have looked beyond demographic variables and have identified other kinds of factors that affect social media use: • User perception of the characteristics of the technology (often using the Technology Acceptance Model), such as perceived ease of use, usefulness and interactivity (Choi & Chung, 2013;Choraria, 2012;Shu, 2014) • Perceived benefits of and motives for using social media, such as gaining social capital (Johnston, Tanner, Lalla & Kawalski, 2013), and entertainment, boredom relief, interpersonal utility (i.e. social interaction), escape and convenience (Cha, 2010) • Social factors, such as a sense of shared group identity (Flanagin, Hocevar & Samahito, 2014) • Psychological factors, such as personality types (Balmaceda, Schiaffino & Godoy, 2014;Kim, Sin & Tsai, 2014) • Perceived risks, such as privacy concerns (Cha, 2010).…”

Section: Social Networking Sitesmentioning

confidence: 99%

Issues in information behaviour on social media

Christopher¹

2014

LIBRES

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Background. Social media present a rich environment to study information behaviour, as much of the user interaction is recorded and stored in publicly accessible repositories and on personal devices. Objectives. This paper surveys the literature of the past nine years on information behaviour related to social media, focusing especially on social networking sites and online discussion forums. It reviews the characteristics of social media users and use, the predominant types of information behaviour, and new types of information found in user-contributed content. Results. Studies have found clear age, gender and national differences, and differences between local citizens and foreigners, in the frequency and purpose of social media use, the choice of social media sites, number of online friends, and types of information posted. Social media users typically share experiential and practical knowledge in the context of everyday life. Informational support provided by social media users is complemented with socio-emotional support. Predominant types of information behaviour include asking (i.e. request for information), answering with information, unsolicited information sharing, and information integration. Browsing and monitoring are important types of information seeking behaviour on social media. Users use a combination of information behaviours, information sources, and online as well as offline sources for information needs that are important to them. Conclusion. Social media are evolving into important sources of information that complement traditional information sources. They provide an opportunity to study types of information behaviour related to human interaction, that are difficult to study in physical environments.

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Section: Social Networking Sitesmentioning

confidence: 99%

Issues in information behaviour on social media

Christopher¹

2014

LIBRES

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“…Establishing and managing virtual communities represents a substantial investment of time and effort whose value can only be realised when sites are used by intended users in a way that contributes to the objectives of establishing them. Given the importance of active membership for the success of virtual communities, there is a heightened need for knowledge about the factors that contribute to attracting and retaining such members in virtual communities (Chang et al , 2014; Choraria, 2012). This paper aims to contribute to this knowledge.…”

Section: Introductionmentioning

confidence: 99%

Cognitive absorption and behavioural intentions in virtual health communities

Mpinganjira

2019

JSIT

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Purpose This paper aims to provide a conceptual model that elucidates the role of cognitive absorption in explaining behavioural intentions in virtual health communities. Design/methodology/approach Data were collected from 361 contributing members of virtual health communities from Gauteng, South Africa, using a structured questionnaire. Structural equation modelling using AMOS software was used to analyse the data. Findings The findings show that cognitive absorption has a significant direct positive influence on content posters’ intentions to continue participating on virtual health community platforms. Cognitive absorption was also found to have an indirect influence on behavioural intentions through its influence on members’ attitude. It was also found to play a mediating role in the influence of perceived usefulness and behavioural intention. Research limitations/implications The study shows the value of linking flow theory and the technology acceptance model to provide a comprehensive understanding of behavioural intentions in virtual health community forums. Practical implications Managers of virtual health communities need to pay attention to experiential aspects of their sites. Success in ensuring that community members are cognitively absorbed is key to the development of positive attitude and intentions towards virtual health community forums. Originality/value Virtual health communities play a new and growing role in the way health-related information and support is offered and accessed by those in need. Despite their importance, not much research has been done to explain the role of consumer experience in member behavioural intentions on such forums. The study contributes to this understanding by demonstrating the value of cognitive absorption in directly explaining users’ attitude and behavioural intentions. The study also sheds light on the role played by cognitive absorption in explaining the influence of perceived usefulness on behavioural intentions.

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“…Hence, it would be the recommendation to explicitly address such community-level questions during future system designs. More broadly, Choraria (2012) looks at what motivates users to partake in social online communities repeatedly. They investigated the role of perceived sociability and usability on motivating platform usage, and suggest that especially ease of use, dynamic behaviours and interaction play a significant role.…”

Section: Limitationsmentioning

confidence: 99%

Engineering social media driven intelligent systems through crowdsourcing

Sýkora

2016

JSIT

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Author name* *Affiliation Email PurposeThe purpose of this paper is to explore implicit crowdsourcing, leveraging social media in real-time scenarios for intelligent systems.Design/methodology/approach A case study using an illustrative example system, which systematically employed a custom social media platform for automated financial news analysis and summarisation was developed, evaluated and discussed. Literature review related to crowdsourcing and collective intelligence in intelligent systems was also conducted to provide context and to further explore the case study. FindingsIt was shown how, and that useful intelligent systems can be constructed from appropriately engineered custom social media platforms which are integrated with intelligent automated processes. A recent inter-rater agreement measure for evaluating quality of implicit crowd contributions was also explored and found to be of value. Practical implicationsThis paper argues that when social media platforms are closely integrated with other automated processes into a single system, this may provide a highly worthwhile online and real-time approach to intelligent systems through implicit crowdsourcing. Key practical issues, such as achieving high quality crowd contributions, challenges of efficient workflows and real-time crowd integration into intelligent systems were discussed. Important ethical and related considerations were also covered. Originality/valueA contribution to existing theory was made by proposing how social media web platforms may benefit crowdsourcing. As opposed to traditional crowdsourcing platforms, the presented approach and example system has a set of social elements that encourages implicit crowdsourcing. Instances of crowdsourcing with existing social media, such as Twitter, often also called crowd piggybacking have been used in the past; however, employing an entirely custom-built social media system for implicit crowdsourcing is relatively novel and has several advantages. Some of the discussion in context of intelligent systems construction are novel and contribute to the existing body of literature in this field.

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Factors determining the flow of information among the online community users

Cited by 7 publications

References 35 publications

Issues in information behaviour on social media

Issues in information behaviour on social media

Cognitive absorption and behavioural intentions in virtual health communities

Engineering social media driven intelligent systems through crowdsourcing

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