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This paper synthesises international research on effective mentor training, education and development (MTED).

An adaptive theory methodology (Layder, 1998), combining deductive and inductive methods, was deployed in a qualitative meta-synthesis of thematic findings generated in three studies: a systematic review of literature published between January 2010 and July 2020, together with a secondary analysis of studies including evidence on MTED; a subsequent systematic review of literature published between August 2020 and May 2023 and a general inductive analysis (Thomas, 2006) of interviews of leaders of large-scale MTED programmes that had good evidence of impact.

Our meta-synthesis found that effective MTED is evidence-based, refined through ongoing research, tailored both to individual needs and context and includes sustained support. Effective pedagogical approaches in MTED are underpinned by adult learning principles and establish a learning climate that fosters open and trusting relationships. Effective MTED is shaped by the espoused mentoring model or approach, with particular emphasis on understanding, building and sustaining mentoring relationships and incorporating observing, practising, critically reflecting on and receiving feedback on mentoring.

The study will be helpful to practitioners designing, reviewing and evaluating MTED programmes, researchers seeking to enhance the sparse MTED evidence base and programme commissioners.

The original and significant contribution of this study is the identification of key principles relating to the overall design of – as well as specific content, pedagogical approaches and supporting resources within – MTED programmes that have evidenced positive effects on mentors, mentees, mentoring and/or organisations.

Recent evidence from a linear econometric framework infers that housing search activity, captured from Google Trends data, can predict housing returns for the USA at a national and regional (metropolitan statistical area [MSA]) level. Based on search theory, the authors, however, postulate that search activity can also predict housing returns volatility. This study aims to explore the possibility of using online search activity to predict both housing returns and volatility.

Using a k-th order non-parametric causality-in-quantiles test allows us to test for predictability in a robust manner over the entire conditional distribution of both housing price returns and its volatility (i.e. squared returns) by controlling for nonlinearity and structural breaks that exist in the data.

The analysis over the monthly period of 2004:01 to 2021:01 produces results indicating that while housing search activity continues to predict aggregate US house price returns, barring the extreme ends of the conditional distribution, volatility is relatively strongly predicted over the entire quantile range considered. The results carry over to an alternative (the generalized autoregressive conditional heteroskedasticity-based) metric of volatility, higher (weekly)-frequency data (over January 2018–March 2021) and to over 84% of the 77 MSAs considered.

To the best of the authors’ knowledge, this is the first study regarding predictability of overall and regional US housing price returns and volatility using search activity, based on a non-parametric higher-order causality-in-quantiles framework, which is insightful to investors, policymakers and academics.

This research aims to investigate the feasibility of imperfect produce use in the on-site foodservice management industry.

Study 1 explored experts’ perspectives via expert interviews on the use of imperfect produce in on-site foodservice operations, acceptability, and willingness to choose imperfect produce. Study 2, a sensory discrimination test, was performed with 100 consumers.

Study 1 yielded seven themes with managerial recommendations: appearance perception, customer value perception, operational difficulties, concerns for the world, food safety concerns, corporate advantages, and implementation. Study 2 found that participants were willing to choose menu items prepared with imperfect produce over those prepared with perfect produce. The ability to taste differences depended on the type of produce; participants could not taste differences between tangerines but could taste differences between apples and pears.

The findings of this study suggested that the psychological barriers of imperfect produce impact managers’ perceptions and decision-making processes. It is recommended that operators communicate with consumers about imperfect produce, its waste reduction benefits, and its quality.

This study shows that taste perception could be influenced by how imperfectness is described. Thus, appropriate marketing strategies could improve consumer acceptance of imperfect produce.