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Financial ratios are often used to classify firms into different clusters of financial performance. This study aims to classify firms using financial ratios with advanced techniques and identify the transition matrix of firms moving clusters during the COVID-19 period.

This study uses compositional data (CoDa) analysis based on existing clustering methods with transformed data by weighted logarithms of financial ratios. The data include 66 listed firms in Vietnam’s food and beverage and fishery sectors over a three-year period from 2019 to 2021, including the COVID-19 period.

These firms can be classified into three clusters of distinctive characteristics, which can serve as benchmarks for solvency and profitability. The results also show the migration from one cluster to another during the COVID-19 pandemic, allowing for the calculation of the transition probability or the transition matrix.

The findings indicate three distinct clusters (good, average and below-average firm performance) that can help financial analysts, accountants, investors and other strategic decision-makers in making informed choices.

Clustering firms with their financial ratios often suffer from various limitations, such as ratio choices, skewed distributions, outliers and redundancy. This study is motivated by a weighted CoDa approach that addresses these issues. This method can be extended to classify firms in multiple sectors or other emerging markets.

The purpose of this study is to reveal the dynamics of house prices and sales in spatial and temporal dimensions across British regions.

This paper incorporates two empirical approaches to describe the behaviour of property prices across British regions. The models are applied to two different data sets. The first empirical approach is to apply the price diffusion model proposed by Holly et al. (2011) to the UK house price index data set. The second empirical approach is to apply a bivariate global vector autoregression model without a time trend to house prices and transaction volumes retrieved from the nationwide building society.

Identifying shocks to London house prices in the GVAR model, based on the generalized impulse response functions framework, I find some heterogeneity in responses to house price changes; for example, South East England responds stronger than the remaining provincial regions. The main pattern detected in responses and characteristic for each region is the fairly rapid fading of the shock. The spatial-temporal diffusion model demonstrates the presence of a ripple effect: a shock emanating from London is dispersed contemporaneously and spatially to other regions, affecting prices in nondominant regions with a delay.

The main contribution of this work is the betterment in understanding how house price changes move across regions and time within a UK context.

This paper aims to explore the integration challenges during the early stages of implementation of value streams as team aggregation structures as a novel organizational construct in a modern organization.

We use an immersive ethnographic approach to follow the transition to value streams as team aggregation structures in a large organization during the first three years of implementation. We integrate systematic observations with interviews to get insights into the dynamics of change and the most important challenges faced by the organization during this transition.

We integrate systematic observations collected during the organizational change with insights from interviews carried out with managers to provide tentative answers to some key questions related to the implementation of multiteam systems. We reflect on their performance, entitativity, autonomy as well as on the satisfaction of their members.

We discuss some of the most important managerial challenges during the transition to value streams as novel organizational constructs and we derive some actionable insights for team and value stream managers leading such change processes.

Our study provides a rich account of the first stages of implementing an organizational design that brings together different teams in organizational structures that are focused on the value provided to customers.

The purpose of this study was to examine how two socio-historical contexts within the United States, the Movement for Black Lives and the COVID-19 pandemic, informed approaches to improving racial climate in science, technology, mathematics and engineering (STEM) graduate education.

The authors used a general qualitative inquiry research study design to conduct focus groups (n = 121) with graduate students, postdoctoral fellows and faculty members from across STEM disciplines as well as administrators whose work involves STEM graduate students. Participants were from two US institutions involved in a National Science Foundation networked improvement community seeking to create inclusive environments for STEM graduate students.

This study demonstrates how these socio-historical contexts illuminated and amplified on-going efforts to address racial climate for graduate students in US-based graduate education. In response to these events, STEM faculty devoted time that otherwise might have gone to purely technical or scientific endeavors to addressing racial climate. However, some faculty members remain hesitant to address racial climate and efforts appear to have further waned over time. While diversity, inclusion and equity efforts came to the forefront of the collective consciousness during this time, participants worry that these efforts are not sustainable, particularly without support from faculty and administrators.

The findings from this study will inform efforts to improve racial climate in STEM graduate programs.

This study fills an identified need to capture how socio-historical contexts, like the US Movement for Black Lives and the COVID-19 pandemic, have influenced approaches to improving racial climate in STEM graduate programs.

This study aimed to evaluate the compositional changes and bioaccessibility of phenolics and antioxidants in propolis during in vitro digestion as well as the cytotoxic effects of digested propolis on various cancer cell lines.

Six propolis samples were obtained and subjected to in vitro oral, gastric and intestinal digestion. Both digested and undigested samples were analyzed for their total phenolic, flavonoid and antioxidant activities. Additionally, changes in phenolic composition in the in vitro digestion system were revealed by the HPLC-DAD system. The cytotoxic effects of the digested samples were assessed on lung (A549, H1299), skin (A431), liver (Hep-G2) and colon (Caco-2) cancer cells as well as on fibroblast (Bj) cells.

The mean bioaccessibility values of phenolic and flavonoid compounds were found to be less than 35 and 24%, respectively, while the TEAC and CUPRAC antioxidant results ranged between 225.08–649.04 and 398.68–1552.28 µmol TE/g, respectively. The release of p-coumaric, ferulic, 3,4-dimethoxycinnamic acids, naringenin, pinocembrin and chrysin increased progressively from the oral to the intestinal stage. The cytotoxic effects of samples on cell lines were ranked, based on IC50 results, as A431 > Hep-G2 > Caco-2 > A549 > H1299 > Bj.

Propolis has been recognized for centuries as a natural remedy, and numerous studies have explored its bioactive components. However, no studies have previously examined the changes in the phenolic compositions of propolis samples during digestion or their cytotoxic effects on cancer cells. Therefore, this study provides novel insights and an approach to the existing literature on this topic.

Disaster research is often geared towards logocentrism and has relatively few outputs that explore alternative forms of representation, particularly those using an artistic medium. This paper explores how the creative use of audio representation can enhance understanding of flooding experiences, challenging the predominant text-based approach within qualitative study.

During a series of visits to people who had been flooded in 2019 in the UK, interviews and ambient sounds were recorded, analysed and then intertwined with musical elements composed by the lead author. The result is a phonographic representation of the synthesised data. The process explores a tripartite, creative, sonic approach that comingles thematic spoken excerpts with local sounds and musical compositions.

This article presents three sonic vignettes that illustrate the use of audio as a medium for academic research outputs. It contributes to the current consensus that the interpretation, representation and dissemination of research findings should be broadened beyond the dominance of the written word to align with the ethos of the Disaster Studies Manifesto.

The research contributes to disaster scholarship by developing a transdisciplinary approach to explore people’s experiences. By retaining the participants’ voices at its core, it makes use of in-depth, rich data to illustrate individuality, rather than aiming to generalise.

Very little disaster research has focussed on pushing the boundaries of investigation by using the arts as a lens for both the researcher and their audience. Such work may connect with a wider range of people compared to a text-based “traditional” academic output. It can offer new opportunities for practical uses within Disaster Risk Reduction, for example as a communicative and educational tool.

This paper contributes to understanding the impact of developing audio representation as a medium for conveying people’s experiences of flooded homes.

A good workplace well-being (WWB) has many positive impacts on individuals and organizations. Prior studies indicate that physical, psychological and social well-being factors positively influence WWB. Nevertheless, it is essential to acknowledge that these factors may exhibit variations across different regions, cultural contexts and workplace environments. Therefore, this study aims to explore and validate the relationships between physical, psychological and social well-being factors and WWB at construction sites across different regions, using Malaysia and India as case studies.

A conceptual model was proposed between physical, psychological and social well-being factors and WWB at construction sites. Then, a questionnaire survey was developed based on the proposed model and distributed to construction industry practitioners in both countries. In total, 316 responses were collected and analyzed using confirmatory factor analysis and multigroup analysis.

The analyses indicate that the proposed model on physical, psychological and social well-being factors and WWB at construction sites is valid. Also, the model has no significant differences between the two countries. Thus, the findings show that the physical, psychological and social well-being factors are similarly affecting WWB at construction sites in both countries.

The originality of the study lies in its holistic and cross-regional examination of WWB at construction sites. The insights gained from this study provide evidence for promoting good health and well-being in the construction industry. Moreover, this study seeks to provide insights that transcend geographical boundaries, offering valuable implications for promoting WWB practices in construction projects worldwide.

The purpose of this study is to investigate the factors affecting behaviour intention (BI) to use and actual usages of investment-related FinTech services among the zoomers (Gen Z) and millennials (Gen M) retail investors of India.

The study explores the predictive relevance of actual adoption behaviour among the two different age categories of Indian retail investors. It uses the Unified Theory of Acceptance and Use of Technology-2 and the prospect theory framework as guiding frameworks. Data has been collected from 294 retail investors, actively engaged in the investment-related FinTech services. The multi-group analysis using variance-based partial least square structured equation modelling has been used to compare the two groups. The invariance between the two groups was achieved through measurement invariance assessment.

The study reveals distinct factors significantly affecting BI to use investment-related FinTech services among Gen Z and Gen M retail investors are performance expectancy (PE) to BI, perceived risk (PR) to BI, price value (PV) to BI and PR to service trust (ST).

This study provides insights for financial providers and policymakers, emphasizing different factors influencing BI to use investment-related FinTech services in both age groups. Notably, habit emerges as a common factor influencing the actual usage of investment-related FinTech services across Gen M and Gen Z retail investors in India.

This study explores the heterogeneous behaviour of the heterogenous population in the domain of technological adoption of investment-related FinTech services in India.

This paper presents a pioneering investigation into the barriers impeding the adoption of reverse logistics (RL) in the Iranian construction industry, addressing a significant gap in the current literature within the country.

Through a meticulous examination of the literature, complemented by 19 in-depth interviews, a battery of barriers to RL implementation was initially identified, distilled into a final set of 30 barriers, which served as the basis for the design of a structured survey questionnaire. Employing Partial Least Squares–Structural Equation Modeling (PLS-SEM), an analysis was conducted on a dataset that comprised of 80 responses. Subsequently, the barriers approved through the PLS- SEM were subjected to prioritization through the application of Fuzzy TOPSIS.

Findings reveal the critical inadequacy of contemporary technology and infrastructure, a foundation essential for the efficacious enactment of RL. This shortfall manifests in procurement and logistics processes plagued by inefficiency and ineffectiveness, as consequences of an immature information and technology ecosystem. Furthermore, the study underscores the dominance of traditional markets where the adoption of secondary materials/products remains sporadic, signaling a crucial area for further research and intervention.

This study offers original insights into the significant hurdles that hinder the adoption and integration of RL practices within the Iranian construction industry, an under-explored area within the RL research domain. For industry practitioners, findings point to recommendations for overcoming these barriers in the specific Iranian context while also offering broader insights and lessons that may be relevant to other countries and similar contexts.

Analysis of architectural space is commonly conducted by examining architectural drawings that project spatial information by means of walls and partitions. To capture the lived experience of space, which is richer than what we can see from drawings, a new method is proposed to quantify the cognitive dimension of space and re-present it as an audible format.

Using an urban vernacular house in Seoul as a case study, this research takes a syntactic approach to quantify one's changing perception through their movement from the main gate to the most private reception room. Based on Luigi Moretti's theory of hollow space, a new method is proposed to measure the level of spatial pressure exerted on a navigating body. The numerical data of spatial pressure are then converted to a sound using musical techniques of the chromatic scale and chorale textures.

Building on Moretti's abstract concept, it has been shown that a rule-based quantification of users' spatial perception is possible. In addition, unlike conventional approaches of treating architecture as a static entity, this study showed an alternative approach to represent it as a sequence of sensorial experience that can be readily converted to a sound of music.

This research developed a quantification method to measure the perception of pressure inside buildings by revisiting Luigi Moretti's theory proposed in 1952. It has been also demonstrated that the visual stimuli in space can be translated into an audible experience. This new method is applicable to a wide range of buildings including important historic architecture.