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The rate of female committals to prison has grown rapidly in recent years. Women in prison are likely to have trauma histories and difficulties with their mental health. This paper aims to synthesise the findings of qualitative literature to gain a deeper understanding of the experiences of women in the context of prison-based mental health care.

A systematic search of five academic databases, Cumulative Index to Nursing and Allied Health Literature, Applied Social Sciences Index and Abstracts, Psychological Information Database (PsycINFO), Excerpta Medica DataBASE (EMBASE) and Medline, was completed in December 2020. This study’s search strategy identified 4,615 citations, and seven studies were included for review. Thomas and Harden’s (2008) framework for thematic synthesis was used to analyse data. Quality appraisal was conducted using the Joanna Briggs Institute Checklist for Qualitative Research (Lockwood et al., 2015).

Four analytic themes were identified that detail women’s experiences of prison-based mental health care: the type of services accessed and challenges encountered; a reduction in capacity to self-manage mental well-being; the erosion of privacy and dignity; and strained relationships with prison staff. There is a paucity of research conducted with women in the context of prison-based mental health care. The findings suggest there is a need for greater mental health support, including the need to enhance relationships between women and prison staff to promote positive mental health.

To the best of the authors’ knowledge, this is the first systematic review conducted on the experiences of women in the context of prison-based mental health care.

Pharmaceutical supply chains (PSCs) need a well-operating and faultless logistics system to successfully store and distribute their medicines. Hospitals, health institutes, and pharmacies must maintain extra stock to respond requirements of the patients. Nevertheless, there is an inverse correlation between the level of medicine stock and logistics service level. The high stock level held by health institutions indicates that we have not sufficiently excellent logistics systems presently. As such, selecting appropriate logistics service providers (drug distributors) is crucial and strategic for PSCs. However, this is difficult for decision-makers, as highly complex situations and conflicting criteria influence such evaluation processes. So, a robust, applicable, and strong methodological frame is required to solve these decision-making problems.

To achieve this challenging issue, the authors develop and apply an integrated entropy-WASPAS methodology with Fermatean fuzzy sets for the first time in the literature. The evaluation process takes place in two stages, as in traditional multi-criteria problems. In the first stage, the importance levels of the criteria are determined by the FF-entropy method. Afterwards, the FF-WASPAS approach ranks the alternatives.

The feasibility of the proposed model is also supported by a case study where six companies are evaluated comprehensively regarding ten criteria. Herewith, total warehouse capacity, number of refrigerated vehicles, and personnel are the top three criteria that significantly influence the evaluation of pharmaceutical distribution and warehousing companies. Further, a comprehensive sensitivity analysis proves the robustness and effectiveness of the proposed approach.

The proposed multi-attribute decision model quantitatively aids managers in selecting logistics service providers considering imprecisions in the multi-criteria decision-making process.

A new model has been developed to present a sound mathematical model for selecting logistics service providers consisting of Fermatean fuzzy entropy and WASPAS methods. The paper's main contribution is presenting a comprehensive and more robust model for the ex ante evaluation and ranking of providers.

Given the importance of interdisciplinary research in addressing wicked problems, this paper aims to explore the development of and prospects for interdisciplinary research through evidence gained from academic accountants in Australia.

Extant literature is complemented with interviews of accounting academics in Australia to reveal the challenges and opportunities facing interdisciplinary researchers and reimagine prospects for the future.

Evidence indicates that accounting academics hold diverse views toward interdisciplinarity. There is also confusion between multidisciplinarity and interdisciplinarity in the journals in which academic accountants publish. Further, there is mixed messaging among Deans, disciplinary leaders and emerging scholars about the importance of interdisciplinary research to, on the one hand, publish track records and, on the other, secure grants from government and industry. Finally, there are differing perceptions about the disciplines to be encouraged or accepted in the cross-fertilisation of ideas.

This paper is novel in gathering first-hand data about the opportunities, challenges and tensions accounting academics face in collaborating with others in interdisciplinary research. It confirms a discouraging pressure for emerging scholars between the academic research outputs required to publish in journals, prepare reports for industry and secure research funding, with little guidance for how these tensions might be managed.

Developing a reliable cost estimate at the early stage of construction projects is challenging due to inadequate project information. Most of the information during this stage is qualitative, posing additional challenges to achieving accurate cost estimates. Additionally, there is a lack of tools that use qualitative project information and forecast the budgets required for project completion. This research, therefore, aims to develop a model for setting project budgets (excluding land) during the pre-conceptual stage of residential buildings, where project information is mainly qualitative.

Due to the qualitative nature of project information at the pre-conception stage, a natural language processing model, DistilBERT (Distilled Bidirectional Encoder Representations from Transformers), was trained to predict the cost range of residential buildings at the pre-conception stage. The training and evaluation data included 63,899 building permit activity records (2021–2022) from the Victorian State Building Authority, Australia. The input data comprised the project description of each record, which included project location and basic material types (floor, frame, roofing, and external wall).

This research designed a novel tool for predicting the project budget based on preliminary project information. The model achieved 79% accuracy in classifying residential buildings into three cost_classes ($100,000-$300,000, $300,000-$500,000, $500,000-$1,200,000) and F1-scores of 0.85, 0.73, and 0.74, respectively. Additionally, the results show that the model learnt the contextual relationship between qualitative data like project location and cost.

The current model was developed using data from Victoria state in Australia; hence, it would not return relevant outcomes for other contexts. However, future studies can adopt the methods to develop similar models for their context.

This research is the first to leverage a deep learning model, DistilBERT, for cost estimation at the pre-conception stage using basic project information like location and material types. Therefore, the model would contribute to overcoming data limitations for cost estimation at the pre-conception stage. Residential building stakeholders, like clients, designers, and estimators, can use the model to forecast the project budget at the pre-conception stage to facilitate decision-making.

The figure of the female revenger has haunted the western imagination as far back as some of the earliest extant texts, most starkly in Euripides' tragedies Hecuba and Medea (c. 430–420 bc). She has tended to take on one of three forms: the scorned woman, the vengeful mother or the victim of physical violence, almost always sexual violence.

This chapter presents an interdisciplinary and transhistorical understanding of the troubling figure of the violent female revenger in her shifting incarnations. The investigation traces conceptual strands through a variety of cultural texts, focusing on specific instances that are both situated historically and simultaneously analysed for the ways in which they reflect recurring priorities and cultural anxieties through the centuries.

After considering key ideas such as revenge and justice and gender and revenge, the chapter looks more closely at the so-called rape-revenge genre, moving from the earliest examples such as I Spit on Your Grave (1978) to more recent films which are considered for the ways they intersect with the global feminist protest movement #MeToo, and other key cultural moments such as the Harvey Weinstein case and the very public trial of the USA Gymnastics national team doctor Larry Nassar: Revenge (2017), The Nightingale (2018) and Promising Young Woman (2020). The chapter draws direct lines of connection between imaginative works, cultural types and stereotypes, and lived reality in order to come to a fuller understanding of the female revenger.

This paper outlines a contemporary conceptual framework for the embedding of experiential learning into a business consultancy module. Experiential learning is a fundamental teaching approach that allows students to apply theory into a working business context.

As a conceptual and not an empirical paper, the methodological approach was to draw upon the literature reviewed and to build a framework to support student learning through a business consultancy module.

Exploration of the literature suggests that there are four elements critical to student learning in experiential learning environments: action, reflection, social and context. A framework has been developed utilising these elements with the interaction between the factors being key to developing learning.

So far, the framework is conceptual, and further research is needed to explore its use when staff members are developing these types of modules and to understand the interaction of the factors over the course of the student learning experience.

The originality comes from the intersection and interaction between the core factors in experiential learning, which enables this framework to move thinking beyond more static models and hence work in a more fluid student learning environment.

Integrated care approaches have been recommended for co-occurring substance use and mental health disorders. The purpose of this study is to explore and map the research literature regarding social work and its intersection with co-occurring substance use and mental health disorders.

An iterative and systematic search of five electronic databases CINAHL, Scopus, PsycINFO, Social Science Database and Medline was conducted to identify studies published between 2002 and 2022. Two reviewers independently screened publications in two successive stages of title and abstract screening, followed by a full-text screening of eligible studies. Data from each included publication were screened and extracted using Covidence.

A total of 38 eligible studies were included in the final scoping review. The included studies were conducted in eight different counties, including a range of study designs (e.g. cross-sectional, RCT, pilot studies). Only 8 of the 38 studies included people with co-occurring disorders as participants. Study settings were broad, for example, dual-diagnosis, military, homeless, substance use and community-based settings.

A review of the literature surrounding social work practice and its intersection with co-occurring mental health and Alcohol and other drug was warranted to document the evidence on this largely unexplored area of research. This review found that there was a paucity of literature that focused specifically on the role of social work practice in relation to individuals with co-occurring disorders, with a limited number of studies focusing on dual diagnoses.

Agile principles have been widely used in software development team practice since the creation of the Agile Manifesto. Studies have examined variables related to agile principles without systematically considering the relationships among key team, agile methodology, and process variables underlying the agile principles and how these variables jointly influence the achievement of software development agility. In this study, the authors tested a team/methodology–process–agility model that links team variables (team autonomy and team competence) and methodological variable (iterative development) to process variables (communication and collaborative decision-making), which are in turn linked to software development agility (ability to sense, respond and learn).

Survey data from one hundred and sixty software development professionals were analyzed using structural equation modeling methods.

The results support the team/methodology–process–agility model. Process variables (communication and collaborative decision-making) mediated the effects of team (autonomy and competence) and methodological (iterative development) variables on software development agility. In addition, team, methodology and process variables had different effects on the three dimensions of software development agility.

The results contribute to the literature on organizational IT management by establishing a team/methodology–process–agility model that can serve as a basis for developing a core theoretical foundation underlying agile principles and practices. The results also have practical implications for organizations in understanding and managing holistically the different roles that agile methodological, team and process factors play in achieving software development agility.

This study aims to investigate how employee perspectives on the role of business, specifically capitalist beliefs, affect the corporate social responsibility (CSR)–reputation–employee behavior relationship.

A conceptual model was developed, and to test the model empirically, survey data were collected over two phases from 192 working professionals. Data were analyzed in SAS using Hayes’s PROCESS approach.

Results of this study reveal that the positive employee outcomes (i.e. affective commitment and reduced turnover intentions), resulting from CSR, through perceived employer reputation (i.e. an employee’s perception of how others view their firm), are diminished when employees have strong capitalist beliefs.

Building on the signaling and person–organization fit literatures, this study highlights the theoretical and managerial importance of recognizing employees’ ideological differences as well as the value of considering employee perceptions of reputation. Although many stakeholders value social responsibility, not all do, and a firm’s intended outcomes will vary depending on employees’ beliefs.

This study demonstrates that CSR not only affects institutional-level corporate reputation, as previously studied, but also affects employees’ behaviors through “perceived employer reputation”, or employee beliefs about how other stakeholders perceive the firm. Moreover, this study highlights the importance of understanding employee differences, including ideological differences, prior to engaging in certain types of CSR.

As our time spent on social networking sites (SNS) is increasing, more people are facing the psychological and mental consequences of SNS use. Given the growing body of research on the relationship between social network use and life satisfaction, this study aims to provide an overview of empirical studies through a systematic literature review.

As a result of the screening process, 43 articles were included in the review in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. First, the characteristics of the studies included in the review, such as sample country, data collection method and data analysis method, are presented. Then, the findings on the relationship between SNS use and life satisfaction are outlined.

Based on the results, it is seen that the relationship between SNS use and life satisfaction varies considerably with the sample and platforms studied. Theoretically, this systematic review provides a comprehensive picture of the relationship between SNS use and life satisfaction and encourages researchers to study the topic further.

There are reviews on the relationship between SNS use and psychological factors such as self-esteem, loneliness or depression. In the reviews, limited variables such as problematic social network use, adolescents’ social network use and social network addiction have been examined instead of general social network use. However, the number of reviews on the relationship between social network use and life satisfaction is quite limited. To the best of the authors’ knowledge, this systematic review is both a comprehensive literature review and one of the first studies to provide a broad perspective on the relationship between social network use and life satisfaction.