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This study identifies key challenges to adopting smart real estate (SRE) technologies and offers insights and recommendations to enhance decision-making for stakeholders, including buyers and property investors.

To achieve the aim of the study, a rigorous research approach was employed, conducting an in-depth analysis of 41 academic papers utilising PRISMA guidelines and checklists. The chosen methodology also applies a PEST (Political, Economic, Social and Technological) framework to identify factors influencing technology adoption in the real estate sector.

The study uncovers critical challenges to adopting smart real estate technologies, such as regulatory ambiguity, high implementation costs, and societal resistance. PEST analysis reveals that unclear standards and guidelines, coupled with the high financial burden of technology implementation, are significant obstacles. Socially, resistance to change and difficulties in integrating new technologies are prevalent. The study also underscores the potential of artificial intelligence (AI) for predictive analytics and blockchain for secure transactions and records, though their adoption is currently hindered by inadequate infrastructure and regulatory challenges. These findings underscore the need for strategic interventions to address these challenges and facilitate the effective integration of advanced technologies in the real estate sector, thereby enhancing industry innovation and competitiveness.

The study offers insights for real estate stakeholders to embrace technology effectively, with a conceptual framework contributing to industry advancements.

The study’s key contribution is offering real estate stakeholders execution tactics and recommendations to navigate challenges and utilise technology, thereby driving industry innovation and enhancing competitiveness.

To deliver net zero, this chapter demonstrates the importance of linking different levels of analysis. Macro concepts like Net Zero need to be operationalised at meso- and micro levels so that individual firms, and the ecosystems they operate in, make the required changes to reduce carbon. However, such change is difficult to achieve because of the scale of activities involved. We draw on the manufacturing case study of C Brandauer & Co Ltd to reveal how they successfully pursued Net Zero and then went on to embed change in their supply chain. We also highlight the key role of a transformational leader to sustain purpose-driven change, a leader brave enough to share core knowledge with local competitors. The authors introduce the term ‘sectoral transformation’ to capture multi-level change within the geographical area of the West Midlands. The chapter finishes with policy implications so that more SMEs can follow this agenda for change, and so that Net Zero becomes a much-needed reality, not just a policy ambition.

This study examines the relationships between ethical leadership, code of ethics, job satisfaction and employee integrity in Uganda’s public sector. Specifically, it investigates the direct effects of ethical leadership and code of ethics on integrity and explores job satisfaction’s mediating role in these relationships.

The research employed a three-wave survey of 600 Ugandan public sector employees. Data collection occurred from November to December 2020. The final sample consisted of 398 respondents, with a response rate of 66.3%. Data were analyzed using SPSS and AMOS 23.0 for structural equation modeling.

Results confirmed that ethical leadership and the code of ethics positively relate to employee integrity. Additionally, job satisfaction was found to positively relate to integrity. Importantly, job satisfaction mediates the relationships between both ethical leadership and integrity and between the code of ethics and integrity.

The findings suggest that public sector organizations should enhance ethical leadership practices and implement strong codes of ethics to foster employee integrity. Moreover, boosting job satisfaction can further strengthen the positive effects of leadership and ethics on integrity.

This study adds to the limited research on the mediating role of job satisfaction in the ethical leadership-integrity and code of ethics-integrity relationships, particularly in the public sector context of a developing country like Uganda.

This systematic review aims to identify what works for psychological interventions or teaching strategies designed to improve wellbeing in psychological therapy trainees (PTTs).

A systematic review was conducted in keeping with best-practice guidelines. The protocol for the review was registered prospectively on PROSPERO.

Seventy studies were included in the review. The balance of evidence across quantitative, qualitative and mixed-methods studies cautiously suggests that interventions designed to improve PTT wellbeing may be of value. Novel findings regarding barriers and facilitators of successful intervention were identified. Particularly notable in this regard was the finding that providing trainees with a degree of choice or control over elements of the intervention appeared to be an important facilitator of success. Importantly, however, the review identified a number of methodological weaknesses in the literature, undermining the certainty of findings. More high-quality research is needed to answer the questions of the review decisively.

Evidence tentatively suggests that interventions to support trainee wellbeing are often received well by trainees and are frequently perceived by trainees as beneficial. Providing trainees with some degree of choice or control regarding how to engage with wellbeing interventions during training may be important.

To the best of the authors’ knowledge, this is the first review to systematically identify and synthesise findings on this important topic.

Ground vibration testing is critical for aircraft design and certification. Fast relaxed vector fitting (FRVF) and Loewner framework (LF), recently extended to modal parameter extraction in mechanical systems to address the computational challenges of time and frequency domain techniques, are applied for damage detection on aeronautically relevant structures.

FRVF and LF are applied to numerical datasets to assess noise robustness and performance for damage detection. Computational efficiency is also evaluated. In addition, they are applied to a novel damage detection benchmark of a high aspect ratio wing, comparing their performance with the state-of-the-art method N4SID.

FRVF and LF detect structural changes effectively; LF exhibits better noise robustness, while FRVF is more computationally efficient.

LF is recommended for noisy measurements.

To the best of the authors’ knowledge, this is the first study in which the LF and FRVF are applied for the extraction of the modal parameters in aeronautically relevant structures. In addition, a novel damage detection benchmark of a high-aspect-ratio wing is introduced.