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The purpose of this paper is to assess the effectiveness of cooking skill interventions (CSIs) targeting adults to improve dietary intakes in public health nutrition settings.

A scoping review of the literature was used to identify and assess the quality and effectiveness of Australian single-strategy CSIs and multi-strategy programmes that included cooking for independent healthy people older than 16 years from 1992 to 2015.

There were only 15 interventions (n=15) identified for review and included CSIs as single strategies (n=8) or as part of multi-strategy programmes (n=7) over 23 years. The majority of the interventions were rated as weak in quality (66 per cent) due to their study design, lack of control groups, lack of validated evaluation measures and small sample sizes. Just over half (53 per cent) of the CSIs reviewed described some measurement related to improved dietary behaviours.

There is inconclusive evidence that CSIs are effective in changing dietary behaviours in Australia. However, they are valued by policymakers and practitioners and used in public health nutrition programmes, particularly for indigenous groups.

This is the first time that CSIs have been reviewed in an Australian context and they provide evidence of the critical need to improve the quality CSIs to positively influence dietary behaviour change in Australia.

Using analytics for firms' competitiveness is a vital component of a company's strategic planning and management process. In recent years, organizations have started to capitalize on the significant use of big data for analyses to gain valuable insights to improve decision-making processes. In this regard, leveraging and unleashing the potential of big data has become a significant success factor for steering firms' competitiveness, and the related literature is increasing at a very high pace. Thus, the authors propose a bibliometric study to understand the most important insights from these studies and enrich existing conceptual models.

In this study, the authors use a bibliometric review on articles related to the use of big data for firms' competitiveness. The authors examine the contributions of research constituents (authors, institutions, countries and journals) and their structural and thematic relationships (collaborations, co-citations networks, co-word networks, thematic trends and thematic map). The most important insights are used to enrich a conceptual model.

Based on the performance analysis results, the authors found that China is by far the most productive country in this research field. However, in terms of influence (by the number of citations per article), the most influential countries are the UK, Australia and the USA, respectively. Based on the science mapping analysis results, the most important findings are projected in the common phases of competitive intelligence processes and include planning and directions concepts, data collection concepts, data analysis concepts, dissemination concepts and feedback concepts. This projection is supplemented by cross-cutting themes such as digital transformation, cloud computing, privacy, data science and competition law. Three main future research directions are identified: the broadening of the scope of application fields, the specific case of managing or anticipating the consequences of pandemics or high disruptive events such as COVID-19 and the improvement of connection between firms' competitiveness and innovation practices in a big data context.

The findings of this study show that the most important research axis in the existing literature on big data and firms' competitiveness are mostly related to common phases of competitive intelligence processes. However, concepts in these phases are strongly related to the most important dimensions intrinsic to big data. The use of a single database (Scopus) or the selected keywords can lead to bias in this study. Therefore, to address these limitations, future studies could combine different databases (i.e. Web of Science and Scopus) or different sets of keywords.

This study can provide to practitioners the most important concepts and future directions to deal with for using big data analytics to improve their competitiveness.

This study can help researchers or practitioners to identify potential research collaborators or identify suitable sources of publications in the context of big data for firms' competitiveness.

The authors propose a conceptual model related to big data and firms' competitiveness from the outputs of a bibliometric study.

A new vehicle for user instruction in academic libraries could be a hypertext library guide distributed on the World Wide Web. This article considers the advantages of an electronic library guide, and the particular advantages and problems of producing one using HTML (hypertext markup language) on the World Wide Web. Existing library guides on the Web are reviewed, and found to be impressive if capable of improvement. Some of the broad design issues are also reviewed, and the possible content of a guide discussed. Likely future developments are then considered.

User‐based evaluation in archives and special collections is in its infancy, and this paper aims to discuss the conceptualization, development, and testing of Archival Metrics Toolkits. The development and adoption of standardized metrics to support the management of both analog and digital collections is a critical need in archives and manuscript collections.

The Archival Metrics Toolkits were created, and comprised five user‐based evaluation instruments for archives and special collections in colleges and universities: researcher, archival web sites, online finding aids, student researchers, and teaching support.

The Archival Metrics Toolkits, as developed, represent a first step toward standardized evaluation created specifically for archives. Now it is up to the community to adopt these tools and report their use.

These are the first standardized questionnaires to target archives and special collections and take into consideration the unique environment of primary sources and the specific dynamics involved in connecting researchers with archival and manuscript collections.

The purpose of the paper is to better understand the relation between information technology (IT) affordances and donor motivations in charitable crowdfunding.

This paper reports the findings from a comparative case study of two charitable crowdfunding campaigns.

The affordances of crowdfunding platforms support types of donor motivation that are not supported effectively, or at all, in offline charity.

For future researchers, the paper provides a theoretical model of the relation between IT affordances and motivations in the context of charitable crowdfunding.

For practitioners in the charity space, the paper suggests why they may wish to consider the use of charitable crowdfunding and how they may go about its implementation.

Based on field research at two charitable crowdfunding campaigns, the paper provides a new theoretical model.

The authors investigate how COVID-19 has influenced the amount, type or topics of abuse that UK politicians receive when engaging with the public.

This work covers the first year of COVID-19 in the UK, from March 2020 to March 2021 and analyses Twitter abuse in replies to UK MPs. The authors collected and analysed 17.9 million reply tweets to the MPs. The authors present overall abuse levels during different key moments of the pandemic, analysing reactions to MPs by gender and the relationship between online abuse and topics such as Brexit, the government’s COVID-19 response and policies, and social issues.

The authors have found that abuse levels towards UK MPs were at an all-time high in December 2020. Women (particularly those from non-White backgrounds) receive unusual amounts of abuse, targeting their credibility and capacity to do their jobs. Similar to other large events like general elections and Brexit, COVID-19 has elevated abuse levels, at least temporarily.

Previous studies analysed abuse levels towards MPs in the run-up to the 2017 and 2019 UK General Elections and during the first four months of the COVID-19 pandemic in the UK. The authors compare previous findings with those of the first year of COVID-19, as the pandemic persisted, and Brexit was forthcoming. This research not only contributes to the longitudinal comparison of abuse trends against UK politicians but also presents new findings, corroborates, further clarifies and raises questions about the previous findings.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-07-2022-0392

Information science research has begun to broaden its traditional focus on information seeking to cover other modes of acquiring information. The purpose of this paper is to move forward on this trajectory and to present a framework for explicating how in addition to being sought, existing information are made useful and taken into use.

A conceptual enquiry draws on an empirical vignette based on an observation study of an archaeological teaching excavation. The conceptual perspective builds on Andersen’s genre approach and Huvila’s notion of situational appropriation.

This paper suggests that information becomes appropriable, and appropriated (i.e. taken into use), when informational and social genres intertwine with each other. This happens in a continuous process of (re)appropriation of information where existing information scaffolds new information and the on-going process of appropriation.

The approach is proposed as a potentially powerful conceptualisation for explicating information interactions when existing information is taken into use rather than sought that have received little attention in traditional models and theories of human information behaviour.