Behaviour and Information Technology (Behav Inform Tech)

Publisher: Taylor & Francis

Journal description

Information technology is more than just traditional computers: it includes telecommunications, office systems, industrial automation, robotics and even consumer products. Behaviour and Information Technology (BIT) deals with the human aspects of this technology and reports original research and development on the design, use and impact of information technology in all its forms. Its strictly refereed papers come from a variety of disciplines, including psychology, cognitive science, computer science, ergonomics, sociology, management education and training. BIT attracts a wide, international readership, from researchers and system designers to personnel specialists and planners. The current impact factor is 0.338. Members of the Ergonomics Society, BCS HCI Group, and the ACM SIGCHI are eligible for a privileged discount rate.

Current impact factor: 0.89

Impact Factor Rankings

2016 Impact Factor Available summer 2017
2014 / 2015 Impact Factor 0.891
2013 Impact Factor 0.839
2012 Impact Factor 0.856
2011 Impact Factor 1.011
2010 Impact Factor 0.835
2009 Impact Factor 0.767
2008 Impact Factor 0.915
2007 Impact Factor 1.028
2006 Impact Factor 0.743
2005 Impact Factor 0.544
2004 Impact Factor 0.486
2003 Impact Factor 0.354
2002 Impact Factor 0.543
2001 Impact Factor 0.603
2000 Impact Factor 0.413
1999 Impact Factor 0.338
1998 Impact Factor 0.169
1997 Impact Factor 0.302
1996 Impact Factor 0.157
1995 Impact Factor 0.26
1994 Impact Factor 0.397
1993 Impact Factor 0.314
1992 Impact Factor 0.378

Impact factor over time

Impact factor

Additional details

5-year impact 1.41
Cited half-life 8.10
Immediacy index 0.12
Eigenfactor 0.00
Article influence 0.30
Website Behaviour & Information Technology website
Other titles Behaviour & information technology (Online), Behaviour and information technology, Behavior and information technology
ISSN 1362-3001
OCLC 38265978
Material type Document, Periodical, Internet resource
Document type Internet Resource, Computer File, Journal / Magazine / Newspaper

Publisher details

Taylor & Francis

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Some individual journals may have policies prohibiting pre-print archiving
    • On author's personal website or departmental website immediately
    • On institutional repository or subject-based repository after either 12 months embargo
    • Publisher's version/PDF cannot be used
    • On a non-profit server
    • Published source must be acknowledged
    • Must link to publisher version
    • Set statements to accompany deposits (see policy)
    • The publisher will deposit in on behalf of authors to a designated institutional repository including PubMed Central, where a deposit agreement exists with the repository
    • STM: Science, Technology and Medicine
    • Publisher last contacted on 25/03/2014
    • This policy is an exception to the default policies of 'Taylor & Francis'
  • Classification

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: The almost unlimited access to educational information plethora came with a drawback: finding meaningful material is not a straightforward task anymore. Recommender algorithms can be used to make smart decisions in complex information systems and help the users decide upon useful materials; therefore, they become a promising area in academia and industry. The current paper presents a survey on educational recommender systems (RS): a set of analysis criteria are exposed and the technological specifications and challenges of each analysed system are provided, in the context of the main trends in the development of RS. Also, an ontology-based educational recommendation mechanism is proposed and its application to lifelong learning is highlighted, proving that RS can successfully support new learning paradigms.
    No preview · Article · Jan 2016 · Behaviour and Information Technology
  • [Show abstract] [Hide abstract]
    ABSTRACT: With the maturity of the social network service (SNS) market, the increasing sophistication of its customer or user base, and the growing intensity of competition, SNS success has now become a pressing issue. Understanding the antecedents of continuance intention is the first step to assure the success of an SNS. This study proposed a model to examine the key drivers of users’ intention to continue using SNSs from negative standpoints. The developed research model was empirically validated using the responses from a field survey of 236 Asian undergraduates. The results revealed that normative pressure and fatigue are the main determinants of the users’ intention to continue using SNSs. Moreover, the findings showed that satisfaction is a major determinant of fatigue, whereas negative critical incidents are crucial predictors of satisfaction. The negative critical incidents experienced when undergraduates use services include rumour dissemination, advertising interference, and low ease of use. The implications of the present findings for research and managerial practice were analysed and discussed.
    No preview · Article · Mar 2015 · Behaviour and Information Technology
  • [Show abstract] [Hide abstract]
    ABSTRACT: Many studies have shown the significance of a good user interface in affecting a blogger's decision to select a platform for their blog and a reader's decision to read one, and so it is vital that both developers and bloggers need a greater understanding of how they can improve user experience through perfecting their blog interfaces. The aim of this research is to explore the critical factors influencing the quality of blog interfaces and the causal relationships between these factors, enabling blog interfaces to be designed more effectively. Using an approach combining a focus group and the Decision-Making Trial and Evaluation Laboratory (DEMATEL), this study defined eight factors in four dimensions that influence blog interface quality. The results of the DEMATEL analysis identify the key causal factors and effect factors, as well as the causal relationships between the eight factors via the impact-relations map. The research also indicates the most critical causal factors that bloggers and developers should focus on, in order to most effectively improve the quality and attractiveness of blog interfaces.
    No preview · Article · Feb 2014 · Behaviour and Information Technology
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    ABSTRACT: The virtual reality (VR) system has become popular in the last two decades and is being applied increasingly to navigation studies. This study developed a panorama manifestation (PM) VR system, with six monitors forming a circular display and an interactive chair equipped with rotation sensors and operating knobs. The advantages of the PM system include a large circular display, a body-centred design, body engagement and a low set-up cost. Based on navigation experimental tasks, this system's usability was compared with that of a typical desktop (DT) system. The results showed that participants using the PM system had a significantly higher success rate and required less completion time than participants using the DT system, indicating that the PM system outperforms the DT system in terms of effectiveness and efficiency in some navigation tasks, and also suggesting that the PM system may require lower spatial cognition workload in the navigation tasks. However, the participants’ subjective evaluations of task difficulty (TD) failed to reach significance although the PM group did report a lower mean value for TD. Additionally, in the PM system, the participants’ spatial ability was more predictive to their navigation performance than that in the DT system, indicating that the PM system offered greater usability for some spatial experiments and could provide more support for participants’ navigation tasks.
    No preview · Article · Feb 2014 · Behaviour and Information Technology
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    ABSTRACT: The aims of the study were to describe the relationship between all three of Kohlberg’s levels of moral development and attitudes towards software piracy as well as to determine if an individual’s knowledge of Intellectual Property laws moderated this relationship. The research exploring moral development and attitudes towards software piracy is limited in that the results are inconclusive and often do not assess higher levels of moral development. In this study we explore some of the early antecedent relationships in the Theory of Reasoned Action. An exploratory, non-experimental, cross-sectional survey design was used and a questionnaire containing three scales (Attitudes towards software piracy, levels of moral development, and knowledge of Intellectual Property laws) were obtained from a sample of 402 respondents from three medium-sized South African organisations and from an online survey on a prominent South African online information technology magazine. The results indicated that there is a significant positive relationship between the respondents’ attitudes to software piracy and levels of moral development. Additionally, there are significant relationships between attitudes towards software piracy and each of the levels of moral development. Level two moral development predicted the most amount of variance in attitudes towards software piracy. The moderated multiple linear regression revealed that knowledge of intellectual property laws did not have a moderating effect on the relationship between attitudes towards software piracy and moral development. These findings provide a more in-depth analysis of the relationship between attitudes and levels of moral development with respect to software piracy.
    No preview · Article · Jan 2014 · Behaviour and Information Technology