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The transtheoretical model (TTM) has been applied to varying areas of physical health, e.g. diabetes. However, research into its applicability to psychotherapy is mixed. The TTM is applied through the University of Rhode Island Change Assessment (URICA). Investigating the utility of the URICA is needed to improve patient care and outcomes. This study aims to assess whether the URICA scores relate to patient outcomes; patient attendance; practitioner ratings of patient readiness, appropriateness, insight, motivation and potential for improvement; and to explore practitioner’s perspectives on the URICA.

Correlational methods were used to assess the relationship between the URICA and therapeutic outcome, attendance and practitioner-rated areas. Content analysis was used to analyse practitioner qualitative data.

The URICA did not correlate with either therapeutic outcome or attendance. A significant negative correlation was found between the URICA and practitioner-rated appropriateness of the referral. This means practitioners perceived individuals with lower URICA scores to be a more appropriate referral, despite the score indicating a reduced readiness to change. Qualitative categories included positive views, negative views, ambivalence and changes to measure and process. To conclude, the URICA does not explain a patient’s outcome or attendance. The URICA may not be appropriate to use in its current format in mental health services; therefore, assessing the TTM verbally may be more helpful.

This study provides research into suitability of using the URICA to assess the TTM and its applicability to attendance and outcome in psychological therapies.

Earthquake stressful events cause many consequences and need for survivors. Housing reconstruction is one of the most urgent needs; due to traumatic experiences, dialectical changes in people–place relationships occur.

The present study uses the Poe method and Q methodology to identify the hidden dimensions of trauma-informed housing reconstruction. A questionnaire with 74 items on the Likert scale was developed based on indicative Poe. It was completed by the purposive sampling method by Bam households. The influential factors in housing reconstruction with a psychological recovery approach were extracted by q-factor analysis in communities with different traumatic experiences.

According to the findings, first, people who had experienced complete home destruction; severe physical injuries; loss of family members and relatives; and were trapped under the earthquake rubble have different place-based needs in housing reconstruction for coping with fears and environmental concerns, protective behaviors, safety perception and as result safety reassurance. Second, regardless of the traumatic experience and losses, reconstruction acceleration and economic-social dignity have a positive effect on the communities’ psychological recovery.

It is noteworthy that housing reconstruction with a psychological recovery approach has two basic aspects. Although some independent factors of traumatic experiences will be efficient in this approach, it was found that the type of earthquake traumatic experiences will also be effective in the survivors’ place-based needs and biases.

Over 2.7 million workers are employed in the UK construction industry and with the fragmented nature of the construction sector; cases of poor mental health of workers are on the increase. This upsurge in the number of workers experiencing poor mental health could directly impact construction safety with significant financial adverse consequences on employers and the UK economy. Studies have identified lapses within the construction sector emphasising the lack of transparency regarding reporting of mental health and well-being of construction workers due to the inadequate engagement from employers and the lack of genuine leadership commitment to tackle mental health.

This study adopted a non-probability purposive sampling strategy, using a self-selected sample. A self-administered questionnaire benchmarked against the mental health core and enhanced standards tools by the “Stevenson/Farmer review of mental health and employers” served as the basis for the methodology. A total of 106 industry managers from highways, construction, maritime, utilities, home building, rail and haulage/fleet were involved in this study.

The findings indicate that the industry is making good strides towards addressing mental health issues; poor mental health have significant financial burdens on businesses and the economy; some contractors have mental health initiatives and programmes in place; there is inconsistency of support available to employees; some contractors now integrate leadership training; the level of engagement vary based on the strategy and action plan adopted by organisations; different mechanisms are adopted for monitoring mental health issues, and there are cross-industry initiatives.

A limitation of this study is the number of participants which is not representative of the entire UK construction workforce. Therefore, the findings from this study as much as it presents some understanding of employee mental health and well-being cannot be overtly generalised across multiple industries, different geographic regions or contexts.

Employers should have a clear representation of the mental health of their employees to help them understand what affects worker’s mental well-being and how they can support them. Disregarding the multifaceted causes of mental ill-health due to the perceived financial implications could be more devastating for the industry.

This study aims to evaluate the perception of the local experts and end users on the drivers, barriers and strategies to the use of alternative building technologies (ABTs), with a focus on sandbag building technologies (SBTs) in the provision of sustainable housing in South Africa towards improving the public's understanding of SBTs.

This research adopted a qualitative approach that used focus group meetings as the primary data collection method for this study. This study's focus group participants comprised ABT experts and end users of ABT houses in South Africa who were selected using a convenient sampling technique. The data were recorded, transcribed verbatim and analysed using NVivo 11 software.

This study found that the perceived drivers to using ABTs such as SBT comprise sustainability, affordability, job creation potentials, fire-resistant and earthquake resistance. This study revealed strategies for the SBTs, including awareness, building sandbag prototypes across cities and training.

This study's findings have practical implications for the practice and praxis of ABT implementation and uptake in South Africa. This study provides a framework for broadening the worldwide understanding of use and uptake of SBTs to provide sustainable and affordable housing.

This study adds significantly to the limited body of knowledge on ABTs, focusing on sandbag houses. Consequently, the findings provide policymakers with information on the expert and end-user perspectives on the barriers and strategies to using ABTs.

There is a compelling need for developing constructs in management science rather than adapting the constructs that have been developed in other domains. Having emerged in the 1950s, quality of work-life (QWL) measures have proved to be ineffective due to the lack of conceptual clarity and theoretical support. The article analyses the QWL measures highlights their coherence and verifies them for being used in specific contexts.

The study includes three stages to develop a QWL Measurement Scale. Fourteen questions were developed based on QWL concepts. They were validated using exploratory factor analysis (EFA) which split the dimensions into five factors. A survey was conducted on 375 medical residents. Finally, confirmatory factor analysis (CFA), convergence and validity were tested along the five dimensions.

Results extend the QWL concept and provide theoretical support for the same. Five dimensions were developed to measure QWL namely: pay and benefits, supervision, intra-group relations, working conditions and training.

The study may offer an overview of evaluation strategies to researchers and organizations that aim to improve employee QWL while they enhance its effectiveness through reliable instruments.

The scale developed in this study contributes to the body of QWL literature in the healthcare arena. It may be beneficial to carry out further research in this domain.

Organizational reputation has come to the forefront amidst today’s increasingly competitive business environment. While the perspectives of external stakeholders continue to generate research attention among reputation scholars, perceptions of internal stakeholders like employees deserve similar or more focus due to their ability to sway external organizational reputation. Thoroughly understanding organizational variables that precede internal reputation perceptions among employees and the ensuing consequences enables effective reputation management measures. This study aims to develop a comprehensive framework that outlines the antecedents and consequences of the internal reputation concept.

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 review protocol was applied. Around 24 journal articles were drawn from the Web of Science and Scopus databases and analyzed using qualitative content analysis.

The review revealed 31 constructs related to the internal reputation concept, which were categorized into seven main themes, and a comprehensive framework was developed. Future research recommendations include the need to expand the study’s parameters, adopt a different research method and target varied contexts to achieve a more exhaustive systematic literature review on internal reputation.

This study attempts to contribute to the understanding of the internal reputation concept, theories and reputation management practices through its findings.

This paper provides the first known systematic literature review of the internal reputation concept, which could provide practical guidance to professionals in internal reputation management and academic guidance for future research in internal reputation.

Analyses of cultural landscapes need to combine natural and social-cultural components to promote discussions on landscape planning and heritage management. This qualitative research explores the integrated case study of ten municipalities in the “Vineyard Landscape of Piedmont: Langhe-Roero and Monferrato”, Italy, a UNESCO World Heritage cultural landscape. The research aims to raise awareness of its aesthetic-perceptive features, the importance of effective identification of visual impacts and to promote mitigation strategies/actions for updating the current Management Plan.

Two rounds of interviews and focus groups with mayors were performed in 2015 and 2020 to identify trends and drivers of change affecting the territories. Potential mitigation strategies and actions were voted on and selected in response to five critical themes that emerged from the survey, mainly related to real estate and its supplies.

The results suggest tools and policies in the fields of landscape architecture and landscape design that could benefit planning and management at different levels. They support the design of sustainable scenarios, improving mayors' understanding of the significance of cultural landscapes and promoting them as heritage managers. Furthermore, they intend to preserve the authenticity of the landscape by supporting its attributes for long-term conservation.

The research makes an original contribution on the visual implications of anthropogenic landscape transformations in ten municipalities constituting this serial property, six years after its UNESCO nomination (2014).

This study aims to measure the level of satisfaction among women with childbirth services provided at public health facilities. Further, to analyse the impact of their socio-economic and obstetric characteristics on their level of satisfaction.

To accomplish these objectives a cross-sectional survey was conducted in two districts of an Indian state, Bihar. Structured questionnaire was developed based on the scale proposed by Okumu and Oyugi (2018) both for vaginal and caesarean birth patients. For empirical analysis multiple linear regression model was employed.

Results suggest that majority of mothers are satisfied with the care they received during childbirth, regardless of whether they chose a caesarean (55%) or vaginal delivery (53%). Women report the lowest levels of satisfaction with postpartum care and the privacy that was preserved by healthcare personnel at health facility. Further the study also confirms the association between patient’s socio-economic characteristics and their satisfaction level.

This is the first study of its kind to highlight the situation of public healthcare system in Bihar, which is the third most populated state in India with poor social and health indicators.

This paper aims to examine the relationship between the implementation of soft lean practices and organizational resilience development in the service sector.

A mixed-methods explanatory design that relied on two sequential and complementary phases was adopted. In the first phase, a quantitative analysis was performed based on data collected from practitioners from service organizations, allowing the identification of the significance of this relationship. In the second phase, the authors used semi-structured interviews with experts to qualitatively assess how this relationship occurs.

Findings indicated that soft lean practices are positively associated with organizational resilience, although the extent of their relationships varies depending on the resilience ability under analysis. Interviews with experts also provided specific details on how such relationships occur, adding insights to the numerical results.

This study provides a deeper understanding of the implications of lean management, specifically concerning the support of soft lean practices to develop organizational resilience. Additionally, the identification of this relationship (and how it occurs) allows service organizations to deploy human-related strategies to promote broader adoption of certain soft lean practices. As socio-cultural changes are usually time-consuming, anticipating these organizational resilience needs may result in competitive advantages in the face of disruptive events.

This research was developed to identify artificial intelligence (AI) opportunities and challenges in higher education.

This qualitative research was developed using the six-step thematic analysis method (Braun and Clark, 2006). Participants in this study were AI PhD students from Tehran University in 2022–2023. Purposive sampling was used to select the participants; a total of 15 AI PhD students, who were experts in this field, were selected and interviews were conducted.

The authors considered the opportunities that AI creates for higher education in eight secondary subthemes (for faculty members, for students, in the teaching and learning process, for assessment, the development of educational structures, the development of research structures, the development of management structures and the development of academic culture). Correspondingly, The authors identified and categorized the challenges that AI creates for higher education.

Concerning the intended research, several limitations are significant. First, the statistical population was limited, and only people with characteristics such as being PhD students, studying at Tehran University and being experts in AI could be considered the statistical population. Second, caution should be exercised when generalizing the results due to the limited statistical population (PhD students from Tehran University). Third, the problem of accessing some students due to their participation in research grants, academic immigration, etc.

The innovation of the current research is that the authors identified the opportunities and challenges that AI creates for higher education at different levels. The findings of this study also contribute to the enrichment of existing knowledge in the field regarding the effects of AI on the future of higher education, as researchers need more understanding of AI developments in the future of higher education.