Information quality in social media : a conceptual model


Autoria(s): Emamjome, Fahame F.; Rabaa'i, Ahmad A.; Gable, Guy G.; Bandara, Wasana
Contribuinte(s)

Lee, Jae-Nam

Mao, Ji-Ye

Thong, James

Data(s)

2013

Resumo

Social Media (SM) is increasingly being integrated with business information in decision making. Unique characteristics of social media (e.g. wide accessibility, permanence, global audience, recentness, and ease of use) raise new issues with information quality (IQ); quite different from traditional considerations of IQ in information systems (IS) evaluation. This paper presents a preliminary conceptual model of information quality in social media (IQnSM) derived through directed content analysis and employing characteristics of analytic theory in the study protocol. Based in the notion of ‘fitness for use’, IQnSM is highly use and user centric and is defined as “the degree to which information is suitable for doing a specified task by a specific user, in a certain context”. IQnSM is operationalised as hierarchical, formed by the three dimensions (18 measures): intrinsic quality, contextual quality and representational quality. A research plan for empirically validating the model is proposed.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/61822/

Publicador

AIS Electronic Library (AISel)

Relação

http://eprints.qut.edu.au/61822/3/61822.pdf

http://aisel.aisnet.org/pacis2013/72

Emamjome, Fahame F., Rabaa'i, Ahmad A., Gable, Guy G., & Bandara, Wasana (2013) Information quality in social media : a conceptual model. In Lee, Jae-Nam, Mao, Ji-Ye, & Thong, James (Eds.) Proceedings of the Pacific Asia Conference on Information Systems (PACIS 2013), AIS Electronic Library (AISel), Jeju Island, Korea.

Direitos

Copyright 2013 [please consult the author]

Fonte

School of Information Systems; Science & Engineering Faculty

Palavras-Chave #080600 INFORMATION SYSTEMS #Information quality #Social media #Information quality in social media #Analytic theory
Tipo

Conference Paper