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Language plays a complex role in coaching, facilitating communication, comprehension and meaning construction. Yet, the implications of coaching in a non-native language are uncertain and under-researched. This study explores the role of non-native language (NNL) in dyadic workplace coaching practice. Specifically, it explores how working in a NNL influences the coaching experience from the coach’s perspective.

A qualitative approach was chosen to explore the way coaches view coaching in a NNL. Twenty-three semi-structured interviews were conducted with coaches experienced in coaching in NNL. Reflexive thematic analysis (RTA) was applied for data analysis.

NNL coaching presents a paradoxical mix of negative and positive tensions for the coach and coachee in communication, relationship and insight. NNL coaching is nuanced and may be accommodated using coaching competencies to mitigate the potential for misunderstanding and relationship rupture. It offers alternative perspectives to existing worldviews, eliciting deeper insights. Coaches’ confidence in coaching in a NNL varies from a challenging struggle that perceptually hinders performance, through ambivalence, to a sense of greater resourcefulness.

The study contributes to the stream of literature on language in international business, sociolinguistic research and how meaning is constructed in a coaching process. First, the work develops a distinction between coaching in a native language (NL) and a NNL. Second, study results indicate that the context of NNL creates challenges as well as opportunities in a dyadic coaching process, particularly regarding aspects of the coach–coachee relationship and insight elicitation via alternative perspectives. Moreover, several practical implications of the study for the coaching practice are discussed.

Individual Placement and Support (IPS) is an evidence-based employment model, effective in supporting individuals with severe mental health difficulties to gain competitive employment. Irish mental health policy recognises its value and IPS is being rolled out in a national programme. Employment is recognised an important contributor to mental health recovery and social inclusion. However, research on IPS has tended to focus on competitive job outcomes. The purpose of this study was to explore the non-vocational outcomes of IPS in an Irish context.

A qualitative research approach was used to interview participants taking part in IPS within community mental health teams. Twelve interviews were included in the data analysis process which was informed by a thematic analysis approach.

Participants experienced increased confidence and positivity, both within a work context and whilst job seeking. More purposeful time use, participation in activities and engagement with society were also experienced by those employed and those at the job search stage of IPS.

This study contributes to the literature about the non-vocational benefits of IPS within an Irish context, highlights the mental health recovery benefits of taking part in IPS and supports the need for ongoing development of IPS throughout mental health services in Ireland.

Built asset management processes require a long transition period to collect, edit and update asset conditions information from existing data sets. This paper aims to explore and explain whether and how digital technologies, including asset information model (AIM), Internet of Things (IoT) and blockchain, can enhance asset conditions assessment and lead to better asset management.

Mixed methods are applied to achieve the research objective with a focus in universities. The questionnaire aims to test whether the integration of AIM, IoT and blockchain can enhance asset condition assessment (ACA). Descriptive statistical analysis was applied to the quantitative data. The mean, median, mode, standard deviation, variance, skewness and range of the data group were calculated. Semi-structured interviews were designed to answer how the integration of AIM, IoT and blockchain can enhance the ACA. Quantitative data was analysed to define and explain the essential factors for each sub-hypothesis. Meanwhile, to strengthen the evaluation of the research hypothesis, the researcher also obtained secondary data from the literature review.

The research shows that the integration of AIM, IoT and blockchain strongly influences asset conditions assessment. The integration of AIM, IoT and blockchain can improve the asset monitoring and diagnostics through its life cycle and in different aspects, including financial, physical, functional and sustainability. Moreover, the integration of AIM, IoT and blockchain can enhance cross-functional collaboration to avoid misunderstandings, various barriers and enhance trust, communication and collaboration between the team members. Finally, costs and risk could be reduced, and performance could be increased during the ACA.

The contribution of this study indicated that the integration of AIM, IoT and blockchain application in asset assessment could increase the efficiency, accuracy, stability and flexibility of asset assessment to ensure the reliability of assets and lead to a high-efficiency working environment. More importantly, a key performance indicator for ACA based on the asset information, technology and people experience could be developed gradually.

This study can break the gap between transdisciplinary knowledge to improve the integration of people, technology (AIM, IoT and blockchain) and process value-based ACA in built asset management within universities.