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Reports on a new information storage and retrieval system which handles both electronic and paper‐based data by means of a common indexing system. Briefly describes the system which enables the capture, indexation, control, management, storage and distribution of electronic and paper‐based documents.

Social media is still influencing consumers and is extending social commerce (S-Commerce) use. Different social media activities can influence the users' trust and e-satisfaction at different levels, which in turn influence the purchase intentions. This is evident for the food and beverage industry as S-Commerce mediated by social media can help realise a shorter time to market and meet buyer demands. In addition, credibility factors may influence trust and purchase intentions. Understanding the various factors of influence such as social constructs, namely ratings, reviews and referrals; design constructs such as credibility and features and behavioural constructs such as trust, satisfaction and motivation; and analysing the relationship between these factors and how they influence purchase intentions can provide deeper insights into S-Commerce research, decision-making process and purchase intentions particularly from a food and beverage context.

Drawing on trust through social media activities and surface credibility as well as e-commerce satisfaction, the authors have proposed a research model to investigate the purchase intention of consumers in S-Commerce platforms. Survey data were collected from six countries in Asia and analysed using SEM-PLS.

Results indicated that both trust and surface credibility significantly influence e-commerce satisfaction leading to purchase intention. Furthermore, surface credibility, which is a novel predictor for purchase intention in S-Commerce context, is highly significant on e-commerce satisfaction. Besides, encouraged by surface credibility, it was identified that trust significantly affects e-commerce satisfaction and results in purchase intention. This research adds contribution to theory and practice in S-Commerce stream as discussed at the end of the paper.

The results of this research contribute to the S-Commerce literature and have practical implications for practitioners in the food and beverage industry. As such, focussing on these constructs, this paper analyses the relationship between the social media activities, trust, e-commerce satisfaction, surface credibility and intention to buy.

The purpose of this paper is to present the results of a study that explored public perceptions of the credibility of “facts and figures” contained within five social media posts produced by political parties in Scotland.

The study consisted of an online survey conducted in Spring 2017 (n=538). Respondents were asked to gauge the reliability of “facts” contained within the posts, to provide reasons for their answers, and to indicate how they might go about confirming or debunking the figures.

Less than half the sample believed the posts’ content would be reliable. Credibility perceptions were influenced by various factors, including: a lack of cited sources; concerns about bias or spin; a lack of detail, definitions or contextual information; personal political allegiance and trust; negative campaign techniques; personal experience of policy issues; and more intuitive judgements. Only small numbers admitted that they would not know how to find out more about the issues or would be disinclined to look further. The majority appeared confident in their own abilities to find further information, yet were vague in describing their search strategies.

Relatively little empirical research has been conducted exploring the perceived credibility of political or government information online. It is believed that this is the first such study to have specifically investigated the Scottish political arena.

This article reports on the first health technology appraisal conducted jointly between the National Institute for Health and Clinical Excellence (NICE) and Social Care Institute for Excellence (SCIE). The appraisal systematically reviewed evidence for the clinical effectiveness of parent‐training/education programmes in the management of children with conduct disorders. This appraisal is highly topical in the light of cross‐cutting policy agendas concerned with increasing parenting capacity. It is also methodologically innovative in its approach to synthesising the meta‐analysis of trial evidence on outcomes of programmes with qualitative evidence on process and implementation. The appraisal found parent‐training/education programmes to be effective in the management of children with conduct disorders, and it identifies the generic characteristics of effective programmes. It is concluded that this approach offers an exemplar for the development of systematic reviewing of complex psychosocial interventions that are relevant to integrated children's services.

The present study aims to investigate the relationship between intellectual capital and the readability of financial statements with the mediating role of management characteristics of companies listed on the Tehran Stock Exchange. In other words, this research tries to find the answer to whether intellectual capital can positively affect the readability of financial statements.

A multivariate regression model was used to test the hypotheses for this purpose. The research hypotheses were tested using a sample of 1,309 observations listed on the Tehran Stock Exchange from 2012 to 2018 and a multiple regression model based on panel data and fixed-effects models.

The results indicate that intellectual capital has a positive and significant relationship with the readability of financial statements, which means that with increasing intellectual capital in companies, financial statements’ readability also increases. Based on the hypothesis test results, it has been determined that narcissism, accrual and real earnings management have a negative effect on the relationship between intellectual capital and the readability of financial statements.

Since the present study examines such an issue in emerging markets, it provides users, analysts and legal entities with useful information about management’s inherent and acquired characteristics that significantly impact the purchase of audit opinion. This study’s results also contribute to developing science and knowledge in this field and close the literature gap.

Analyses both the impact of social change and the contribution that the library can make to personal and social development within a changing environment. Notes that the problem of increasingly centralised resources can be countered by the proactive decentralisation of delivery. Concludes that frugality of resources combined with increases in cultural quantity means that the librarian of the future will need to operate the service as a needs‐based access point to the global whole.

The purpose of this study is to describe the development of the 14-item reflective fostering fidelity rating (RFFR), an observational rating system to evaluate model fidelity of group facilitators in the Reflective Fostering Programme (RFP), a mentalisation-based psychoeducation programme to support foster carers. The authors assess usability, dimensionality, inter-rater reliability and discriminative ability of the RFFR.

Eighty video clip extracts documenting 20 RFP sessions were independently rated by four raters using the RFFR. The dimensionality of the RFFR was assessed using principal components analysis. Inter-rater agreement was assessed using the intra-class correlation coefficient.

The proportion of missing ratings was low at 2.8%. A single principal component summarised over 90% of the variation in ratings for each rater. The inter-rater reliability of individual item ratings was poor-to-moderate, but a summary score had acceptable inter-rater reliability. The authors present evidence that the RFFR can distinguish RFP sessions that differ in treatment fidelity.

To the best of the authors’ knowledge, this is the first investigation and report of the RFFR’s validity in assessing the programme fidelity of the RFP. The paper concludes that the RFFR is an appropriate rating measure for treatment fidelity of the RFP and useful for the purposes of both quality control and supervision.

Twitter is a popular microblogging service which has proven, in recent years, its potential for propagating news and information about developing events. The purpose of this paper is to focus on the analysis of information credibility on Twitter. The purpose of our research is to establish if an automatic discovery process of relevant and credible news events can be achieved.

The paper follows a supervised learning approach for the task of automatic classification of credible news events. A first classifier decides if an information cascade corresponds to a newsworthy event. Then a second classifier decides if this cascade can be considered credible or not. The paper undertakes this effort training over a significant amount of labeled data, obtained using crowdsourcing tools. The paper validates these classifiers under two settings: the first, a sample of automatically detected Twitter “trends” in English, and second, the paper tests how well this model transfers to Twitter topics in Spanish, automatically detected during a natural disaster.

There are measurable differences in the way microblog messages propagate. The paper shows that these differences are related to the newsworthiness and credibility of the information conveyed, and describes features that are effective for classifying information automatically as credible or not credible.

The paper first tests the approach under normal conditions, and then the paper extends the findings to a disaster management situation, where many news and rumors arise. Additionally, by analyzing the transfer of our classifiers across languages, the paper is able to look more deeply into which topic-features are more relevant for credibility assessment. To the best of our knowledge, this is the first paper that studies the power of prediction of social media for information credibility, considering model transfer into time-sensitive and language-sensitive contexts.