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Renewable energy sources and smart devices are options for those wishing to lessen their reliance on fossil fuels. Smart devices in the home also allow energy providers to remotely control energy use (RCEU). However, little is understood about consumer’s perceptions of RCEU programs. Based on the theory of planned behavior (TPB), it is proposed that environmental attitudes, environmental self-identity, green history, subjective norms and perceived behavioral control will predict differences in both purchase intentions and RCEU.

Data from 692 participants was collected via an online survey of energy consumers. The relationship between study variables was examined using regression analyses.

The results indicate that environmental attitude, environmental identity, green history and perceived behavioral control are positively related to both purchase intentions and RCEU. The results could have important implications for energy providers, practitioners, energy consumers and citizens interested in environmental issues.

As energy providers consider ways to better manage consumer energy use, RCEU has been used more frequently. However, understanding customer perceptions of RCEU is not well-established in the green energy literature. This paper contributes a first step towards the understanding of RCEU perceptions.

Since March 2020, the global COVID-19 pandemic has disproportionately impacted refugees by compounding preexisting and systemic health, social and economic inequities. In Canada, approximately 50,000 Syrian refugees arrived between 2015 and 2020 and were in the process of rebuilding their lives when the pandemic started. This study aims to explore the impact of the COVID-19 pandemic for Syrian refugees in Canada and identify supports needed.

Drawing on frameworks for refugee psychosocial adaptation and social integration and a qualitative descriptive design, the study used thematic analysis to examine semi-structured interviews with 10 Syrians.

Findings indicated four themes that provide a snapshot of impacts relatively early in the pandemic: facing ongoing development, inequity and insecurity during integration; disruption of settlement, integration and adaptation due to the pandemic; ongoing adaptation and resilience during integration in Canada; and ongoing needs and solutions for integration and adaptation.

This study builds upon growing research concerning Syrian refugees and psychosocial adaptation, particularly during the pandemic. The findings highlight the impacts of the pandemic on a population already facing inequities in a resettlement country. While the findings emphasize the resilience of the Syrian refugee community, the study also demonstrates the need for ongoing supports and justice-oriented action to fulfill resettlement commitments, especially in the face of additional stressors like the COVID-19 pandemic. Implications for policy, practice and future research are discussed.

The purpose of this paper is to describe an intervention-based research mentoring opportunity for higher education students in health- and mental health-related disciplines.

This paper includes a retrospective case study to demonstrate the application of a unique research mentoring method with a voluntary interdisciplinary team of undergraduate and graduate students on a project funded by the National Institutes of Health in the United States of America. The research mentoring experience is described through a pedagogical approach based directly on the focal intervention under study (e.g. GenerationPMTO).

We present the process of an intervention-based model of research mentoring as a unique opportunity to build student research skills and provide exposure to evidence-based interventions applicable to general health populations. Findings demonstrate the research team’s success in forming a collaborative research mentoring environment, performing key research tasks effectively and making reliable fidelity ratings.

This paper provides novel insight into an isomorphic process using intervention-based research mentoring as a pedagogy to enhance students’ research skills and application.

Understanding effective research mentoring approaches can influence the trajectory for future generations of mental health researchers and scholars who may not otherwise be exposed to research in their clinical training programs or courses of study. This paper provides insight and recommendations for how mentors can engage higher education students intentionally in research opportunities using intervention-based research mentoring.

This paper focuses on image-to-text manuscript processing through Handwritten Text Recognition (HTR), a Machine Learning (ML) approach enabled by Artificial Intelligence (AI). With HTR now achieving high levels of accuracy, we consider its potential impact on our near-future information environment and knowledge of the past.

In undertaking a more constructivist analysis, we identified gaps in the current literature through a Grounded Theory Method (GTM). This guided an iterative process of concept mapping through writing sprints in workshop settings. We identified, explored and confirmed themes through group discussion and a further interrogation of relevant literature, until reaching saturation.

Catalogued as part of our GTM, 120 published texts underpin this paper. We found that HTR facilitates accurate transcription and dataset cleaning, while facilitating access to a variety of historical material. HTR contributes to a virtuous cycle of dataset production and can inform the development of online cataloguing. However, current limitations include dependency on digitisation pipelines, potential archival history omission and entrenchment of bias. We also cite near-future HTR considerations. These include encouraging open access, integrating advanced AI processes and metadata extraction; legal and moral issues surrounding copyright and data ethics; crediting individuals’ transcription contributions and HTR’s environmental costs.

Our research produces a set of best practice recommendations for researchers, data providers and memory institutions, surrounding HTR use. This forms an initial, though not comprehensive, blueprint for directing future HTR research. In pursuing this, the narrative that HTR’s speed and efficiency will simply transform scholarship in archives is deconstructed.

The increased digital interactions in the B2B industry have enhanced the importance of customer engagement as a measure of firm performance. This study aims to map and analyze temporal and spatial journeys for customer engagement in B2B markets from a bibliometric perspective.

The extant literature on customer engagement research in the B2B context was analyzed using bibliometric analysis. The citation analysis, keyword analysis, cluster analysis, three-field plot and bibliographic coupling were used to map the intellectual structure of customer engagement in B2B markets.

The research on customer engagement in the B2B context was studied more in western countries. The analysis suggests that customer engagement in B2B markets will take centre stage in the coming times as digital channels make it easier to track critical metrics besides other key factors. Issues like digital transformation, the use of artificial intelligence for virtual engagement, personalization, innovation and salesforce management by leveraging technology would be critical for improved B2B customer engagement.

The study provides a comprehensive reference to scholars working in this domain.

The study makes a pioneering effort to comprehensively analyze the vast corpus of literature on customer engagement in B2B markets for business insights.