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Source credibility is a key influencing factor across both commercial and social marketing. It is perhaps even more important for the latter given that the issues under consideration generally have substantial implications for both individual and societal health and well-being. The Act-Belong-Commit campaign is a world-first population-wide application of social marketing in the area of positive mental health promotion. This study aims to focus on the perceived credibility of the Act-Belong-Commit campaign as a source of information about mental health as a predictor of three types of behavioural responses to the campaign: adopting mental health enhancing behaviours; seeking information about mental health and mental health problems; and seeking help for a mental health problem.

A state-wide survey was undertaken of the adult population in an Australian state where the Act-Belong-Commit campaign originated. The survey included measures of the above three behavioural responses to the campaign and measures of respondents’ perceptions of Act-Belong-Commit’s source credibility. Logistic regression analyses were performed to determine whether the three behavioural responses can be predicted based on perceived source credibility. The predictive performance of the model was examined by receiver operating characteristic curve analysis.

Greater perceived source credibility was significantly associated with having done something for their mental health and for having sought information, and an increased likelihood, but not significantly so, of having sought help for a mental health problem.

Despite the acknowledged importance of source credibility, there has been little published research that the authors are aware of that has looked at the impact of such on the effectiveness of social marketing campaigns. To the best of the authors’ knowledge, this is the first published study of the association between source credibility and behavioural response to a social marketing campaign.

This paper presents a follow-on study that quantifies geolingual markers and their apparent connection with authorship collaboration patterns in canonical Digital Humanities (DH) journals. In particular, it seeks to detect patterns in authors' countries of work and languages in co-authorship networks.

Through an in-depth co-authorship network analysis, this study analysed bibliometric data from three canonical DH journals over a range of 52 years (1966–2017). The results are presented as visualised networks with centrality calculations.

The results suggest that while DH scholars may not collaborate as frequently as those in other disciplines, when they do so their collaborations tend to be more international than in many Science and Engineering, and Social Sciences disciplines. DH authors in some countries (e.g. Spain, Finland, Australia, Canada, and the UK) have the highest international co-author rates, while others have high national co-author rates but low international rates (e.g. Japan, the USA, and France).

This study is the first DH co-authorship network study that explores the apparent connection between language and collaboration patterns in DH. It contributes to ongoing debates about diversity, representation, and multilingualism in DH and academic publishing more widely.

The study aims to provide insights in the sensemaking process and the use of business analytics (BA) for project selection and prioritisation in start-up settings. A major focus is on the various ways start-ups can understand their data through the analytical process of sensemaking.

This is a comparative case study of two start-ups that use BA in their projects. The authors follow an interpretive approach and draw from the constructivist grounded theory method (GTM) for the purpose of data analysis, whereby the theory of sensemaking functions as the sensitising device that supports the interpretation of the data.

The key findings lie within the scope of project selection and prioritisation, where the sensemaking process is implicitly influenced by each start-up's strategy and business model. BA helps start-ups notice changes within their internal and external environment and focus their attention on the more critical questions along the lines of their processes, operations and business model. However, BA alone cannot support decision-making around less structured problems such as project selection and prioritisation, where intuitive judgement and personal opinion are still heavily used.

This study extends the research on BA applied in organisations as tools for business development. Specifically, the authors draw on the literature of BA tools in support of project management from multiple perspectives. The perspectives include but are not limited to project assessment and prioritisation. The authors view the decision-making process and the path from insight to value, as a sensemaking process, where data become part of the sensemaking roadmap and BA helps start-ups navigate the decision-making process.