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Cyberchondria describes excessive or repeated online health-related information seeking associated with an increased level of health anxiety. Given the nascent nature of the concept of cyberchondria, this systematic review attempts to summarize the current landscape of cyberchondria research.

Based on a comprehensive search and systematic filtering process, 40 articles were included in the final sample.

Characteristics of these articles, measures of cyberchondria and factors related to cyberchondria were reported. This review found that the measures of cyberchondria are still in the developmental stages and thus require further validation in future studies. In addition, while studies have examined various factors associated with cyberchondria, the detailed processes involved in the development of cyberchondria require further conceptualization.

The contributions of this review are threefold: first, it presented a comprehensive overview of studies on cyberchondria by addressing their key characteristics such as country of study, sample size and research method. Second, this review analyzed major assessment tools of cyberchondria to offer useful guidance on future investigations on cyberchondria. Third, it identified important antecedents and consequences of cyberchondria in previous research, which contributes to theoretical understanding of how cyberchondria develops.

This is part II of on‐going research, the purpose being to establish a creative information‐seeking model.

Two studies were conducted to examine the subjects' creative information seeking behaviours and the extent to which they exhibited the proposed stages in creative information seeking when accomplishing a directed and an open‐ended information‐seeking task respectively.

Findings seemed to indicate that all the subjects underwent the proposed stages although they seemed to embrace characteristics of these stages in varying degrees. Findings also showed that if subjects performed the proposed stages more iteratively or non‐sequentially, then a greater amount of creativity was needed to accomplish the information‐seeking task.

The paper offers a discussion on the relationships between creativity, complexity of tasks, and levels of expertise in domain knowledge.

This paper proposes a conceptual framework for creative information seeking drawing upon Weisberg's argument that creativity exists in everyone, and mapping the creative process described in the holistic model of creativity to the information seeking activities identified in the behavioural model of information seeking.

Using scenarios of information seeking behaviour, mappings between the creative process and information seeking activities were refined and six stages for creative information seeking were proposed. Scenarios were also used to provide theoretical justifications for stages in creative information seeking.

Evidence gathered from the scenarios seemed to indicate that the type of information seeking task may have an impact on the extent to which an information seeker exhibits all stages in the framework. This is on‐going research. Part II of this paper aims to conduct empirical studies and gather evidence to verify the framework and examine this observation in more detail.

Proposes a framework for creative information seeking.

This study aimed to acquire knowledge about Singapore secondary school (ages 13 to 16 years old) students' skills in searching, evaluating and using information.

A comprehensive instrument encompassing the basic information literacy (IL) skills, as well as a new dimension of ethical usage of information and collaborative information seeking was used for data collection. From August to November 2010, a total of eight schools comprising 3,164 students participated in this study.

It was a matter of concern that various kinds of libraries, including school libraries, were found to be under-utilized. From the test that was administered to assess the IL skills of students, the results were found to be generally unsatisfactory as each of the major categories of IL skills recorded a score that is below 50 (out of a maximum of 100) except for “task definition”. For skills related to “information seeking strategies”, “location & access” and “information use”, the types of schools, academic streams of study, and students' family background seemed to have significant influences.

This study is the first large-scale survey conducted in Singapore that sought to test the IL skills of secondary school students. The findings are useful in assessing the current effectiveness of IL integration, and the need for a more planned approach towards IL competency training within the school curriculum in Singapore.

This study aims to investigate three common approaches – quantitative blog features analysis, content analysis, and community identification – to detect influence in the blogosphere (i.e. among blog posts).

Quantitative analysis of blog features, together with manual sentiment and agreement analysis and community identification, were performed on blog postings and their content. Correlation studies of the selected influential variables were conducted to determine the effectiveness of each variable.

Agreement expressed by the linking blogger with the linked blogger, similar sentiments expressed by both bloggers on common topics, and community identity are statistically significant features for detecting influence in the linked blogs.

A small data set of 196 blog posting pairs was used for the study as the blog features and content are analysed manually. Nonetheless statistical analysis on the data set identified significant features that could be used in future studies to automate the influence detection process.

Knowing the effects of blog features and content analysis in detecting influence among blog posts allows a better influence detection method to determine the main chain of information propagation within the blogosphere and the identities of influential bloggers.

The approach of using blog features, content analysis, and community identity provides a comprehensive evaluation of influence in the blogosphere. Unlike previous content analysis approaches that measure document similarity (i.e. common terms) between linked blog posts, our study applies sentiment and agreement analysis to consider the context of the whole blog post content.

The design of context‐aware mobile applications can be improved through a clear and in‐depth understanding of context and how it can be used to meet users' requirements. Using tourism as a case application, this paper aims to address the lack of understanding of context and tourists' goals.

This is achieved through a literature review of existing research and focus groups to gather information needs for tasks commonly executed by tourists.

This paper proposes the TILES (temporal, identity, location, environmental and social) model to define and classify five main contextual types, and properties associated with each type for tourism‐related applications. The TILES model (with 32 factors) derived from the analysis of the literature review is refined through inputs from two focus groups to incorporate an additional ten factors.

The TILES model can be generalised to support domains other than tourism, such as medical and edutainment.

The model will help to achieve a better understanding of context, users' information needs and their goals. In addition, this work extends findings in the field of context‐aware computing and information retrieval on mobile devices. Solution providers will also be able to adopt TILES as a framework for guiding the design of their context‐aware mobile applications.

The purpose of this study is to investigate the antecedents of behavioral intention to use (BIU) mobile payment in Indonesia by extending unified theory of acceptance and use of technology (UTAUT) with user privacy constructs, namely, perceived security (PS), perceived risk (PR) and trust (Tr).

This is a quantitative research using the covariance-based structural equation modeling method, whereby the researchers conducted an online survey and distributed online questionnaires to users of mobile payment from all over Indonesia to obtain the data. The sample in this study consisted of 358 respondents.

This study found that social influence, facilitating conditions, PS, performance expectancy and Tr have a significant and direct influence on BIU mobile payment. PR was not found to have a significant and direct relationship with BIU, but it was indirectly affecting the latter through Tr as the mediating variable.

The researchers modified UTAUT by incorporating PS, PR and Tr to create a more comprehensive model in predicting mobile payment adoption, especially considering the risky nature of digital transactions in emerging economies like Indonesia. This extended model has never been thoroughly explored in previous studies.