Prince Kumar Maurya, Rohit Bansal and Anand Kumar Mishra
This paper aims to investigate the dynamic volatility connectedness among 13 G20 countries by using the volatility indices.
Abstract
Purpose
This paper aims to investigate the dynamic volatility connectedness among 13 G20 countries by using the volatility indices.
Design/methodology/approach
The connectedness approach based on the time-varying parameter vector autoregression model has been used to investigate the linkage. The period of study is from 1 January 2014 to 20 April 2023.
Findings
This analysis revealed that volatility connectedness among the countries during COVID-19 and Russia–Ukraine conflict had increased significantly. Furthermore, analysis has indicated that investors had not anticipated the World Health Organization announcement of COVID-19 as a global pandemic. Contrarily, investors had anticipated the Russian invasion of Ukraine, evident in a significant rise in volatility before and after the invasion. In addition, the transmission of volatility is from developed to developing countries. Developed countries are NET volatility transmitters, whereas developing countries are NET volatility receivers. Finally, the ordinary least square regression result suggests that the volatility connectedness index is informative of stock market dynamics.
Originality/value
The connectedness approach has been widely used to estimate the dynamic connectedness among market indices, cryptocurrencies, sectoral indices, enegy commodities and metals. To the best of the authors’ knowledge, none of the previous studies have directly used the volatility indices to measure the volatility connectedness. Hence, this study is the first of its kind that has used volatility indices to measure the volatility connectedness among the countries.
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Marco Barone, Candida Bussoli and Lucrezia Fattobene
Graphs are widely used in the banking and finance domain to support consumers’ decision-making process, but subjects differ in their ability to understand them. This study aims to…
Abstract
Purpose
Graphs are widely used in the banking and finance domain to support consumers’ decision-making process, but subjects differ in their ability to understand them. This study aims to detect the determinants of the ability to read and process financial information conveyed in the graphical format, i.e. financial graph literacy (FGL) and the relationship between FGL and subjects’ actual financial behavior (FB).
Design/methodology/approach
Data are collected by administering a structured questionnaire to the Italian adult population (n = 502). The survey includes different sections aimed at collecting information about sociodemographic and socioeconomic variables, financial literacy and FB. The econometric analyses are developed using OLS and Poisson regressions.
Findings
The results show that gender, geographical area, education, marital status and income are crucial determinants of FGL. Moreover, the analysis reveals that an increase in the FGL indicator is associated with a higher propensity for individuals to purchase banking or financial products or actively manage financial resources; results are robust, even controlling for financial knowledge.
Originality/value
Although previous research investigates the impact of graphs in financial decision-making, no studies measure the ability of consumers to read and interpret financial information conveyed in the graphical format. This study is the first to investigate the determinants of FGL and link it to actual FB. Implications for policymakers, regulatory and supervisory authorities and financial intermediaries are discussed.
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Francesca Battaglia, Enrico Maria Cervellati, Dario Salerno, Gian Paolo Stella and Valeria Vannoni
This research aims to investigate the impact of exogenous shocks on individuals' risk tolerance, particularly when originating outside the economic or financial sphere. Focusing…
Abstract
Purpose
This research aims to investigate the impact of exogenous shocks on individuals' risk tolerance, particularly when originating outside the economic or financial sphere. Focusing on Italy as the first Western country affected by COVID-19, this paper explores whether the pandemic led to a decrease in Italians' financial risk tolerance (FRT).
Design/methodology/approach
This study used a two-stage approach for data analysis. Initial examination of key variables used linear regression (ordinary least square [OLS]) with robust errors. Subsequently, a system of structural equations (structural equation model [SEM]) was used for a more nuanced exploration of hypothetical relationships between constructs and their observed indicators. SEM addressed reliability issues inherent in OLS, offering a robust analysis of structural models based on specified hypotheses. To assess the impact of COVID-19 on Italians' FRT, the Grable and Lytton Risk Tolerance Scale was used, measuring changes through a scored questionnaire with values ranging from 1 (greater risk aversion) to 4 (greater risk propensity).
Findings
This study used three distinct OLS regression models to analyze the impact of COVID-19 on Italians' FRT, considering mortality, infection and stringency rates. Findings revealed that older individuals exhibited lower risk tolerance across FRT dimensions, consistent with previous research. Men were more risk-prone, aligning with gender-related financial literacy disparities. Married respondents tended to be less risk-tolerant, supporting the idea that marital status influences risk attitude. Education level showed a slightly negative impact on investment risk. Professional instability, lower income and stock market inexperience were associated with lower risk tolerance. Notably, the COVID-19 pandemic had a significant positive effect, making respondents more risk-averse. SEM methodology was used to examine the moderating effects of COVID-19 proxies on FRT changes.
Originality/value
This research brings a novel perspective to the ongoing debate on exogenous shocks' impact on individuals' risk tolerance, particularly when originating outside the economic or financial domain. Focusing on Italy, the first Western country hit by COVID-19, this study uniquely investigates the pandemic's effect on Italians' FRT. With a large and representative sample, the findings contribute significantly to the literature on risk attitude, shedding light on the pandemic's impact. This study's originality lies in providing reliable evidence with policy implications, emphasizing the imperative for government intervention in addressing both health and economic issues in the wake of such external shocks.
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Nursing students encounter a combination of academic rigor, clinical demands and emotional hurdles. Juggling coursework, practical training and patient interaction can be…
Abstract
Purpose
Nursing students encounter a combination of academic rigor, clinical demands and emotional hurdles. Juggling coursework, practical training and patient interaction can be stressful, and exposure to such situations may impact their psychological well-being. This study aims to highlight the top strengths among nursing students and identify the strengths associated with well-being.
Design/methodology/approach
Convenience sampling was used to select a sample of 150 nursing students studying in first, second and third year from colleges of Gujarat and Rajasthan. Students were administered the Values In Action character strengths inventory, the satisfaction with life scale and scale of positive and negative experience. Data was analyzed using descriptive statistics and correlation.
Findings
Results show that among nursing students, kindness emerged as the foremost strength with the highest mean, followed by honesty, creativity, spirituality and teamwork, and the strengths of curiosity, gratitude, perseverance, self-regulation, social intelligence, and zest were positively associated with life satisfaction and positive emotions and negatively related to negative emotions.
Research limitations/implications
The small sample size was a limitation; however, this study has been conducted at different locations to improve generalizability.
Practical implications
This study has profound implications for nursing students, both in their personal development and their future roles as health-care professionals, as fostering these attributes can contribute to the students’ growth, well-being and effectiveness as compassionate and competent caregivers. Working on strengths is associated with well-being; therefore, using strengths identified by this study will have a beneficial effect on the students’ well-being.
Social implications
Curiosity and social intelligence, for instance, can help nurses better understand patient needs and emotions, developing strengths like perseverance and self-regulation can equip nursing students with tools to cope effectively with the challenges inherent in health-care settings. Traits such as gratitude and social intelligence can enhance communication and empathy which are vital skills for establishing rapport with patients and their families. Emphasizing teamwork as a strength aligns with the collaborative nature of health care. By embodying values like kindness and spirituality, nursing students can create a more compassionate and meaningful experience for patients, as well as themselves.
Originality/value
The research paper identifies and emphasizes the five character strengths that are most commonly observed in a sample of Indian nursing students. In addition, this study delves deeper into these identified strengths to understand how they relate to the overall well-being of nursing students within this specific population. The existing literature has not explored it exhaustively.
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Johnny Kwok Wai Wong, Mojtaba Maghrebi, Alireza Ahmadian Fard Fini, Mohammad Amin Alizadeh Golestani, Mahdi Ahmadnia and Michael Er
Images taken from construction site interiors often suffer from low illumination and poor natural colors, which restrict their application for high-level site management purposes…
Abstract
Purpose
Images taken from construction site interiors often suffer from low illumination and poor natural colors, which restrict their application for high-level site management purposes. The state-of-the-art low-light image enhancement method provides promising image enhancement results. However, they generally require a longer execution time to complete the enhancement. This study aims to develop a refined image enhancement approach to improve execution efficiency and performance accuracy.
Design/methodology/approach
To develop the refined illumination enhancement algorithm named enhanced illumination quality (EIQ), a quadratic expression was first added to the initial illumination map. Subsequently, an adjusted weight matrix was added to improve the smoothness of the illumination map. A coordinated descent optimization algorithm was then applied to minimize the processing time. Gamma correction was also applied to further enhance the illumination map. Finally, a frame comparing and averaging method was used to identify interior site progress.
Findings
The proposed refined approach took around 4.36–4.52 s to achieve the expected results while outperforming the current low-light image enhancement method. EIQ demonstrated a lower lightness-order error and provided higher object resolution in enhanced images. EIQ also has a higher structural similarity index and peak-signal-to-noise ratio, which indicated better image reconstruction performance.
Originality/value
The proposed approach provides an alternative to shorten the execution time, improve equalization of the illumination map and provide a better image reconstruction. The approach could be applied to low-light video enhancement tasks and other dark or poor jobsite images for object detection processes.
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Masum Miah, S.M. Mahbubur Rahman, Subarna Biswas, Gábor Szabó-Szentgróti and Virág Walter
This study aims to examine the direct effects of Green Human Resource Management (GHRM) practices on employee green behavior (EGB) in the university setting in Bangladesh and to…
Abstract
Purpose
This study aims to examine the direct effects of Green Human Resource Management (GHRM) practices on employee green behavior (EGB) in the university setting in Bangladesh and to find the indirect effects of how GHRM promotes EGB through sequentially mediating employee environmental knowledge management (EEKM) (environmental knowledge and knowledge sharing) and green self-efficacy (GSE).
Design/methodology/approach
For the empirical study, the researcher uses partial least squares structural equation modeling to test the proposed conceptual model built on existing literature for greening workplaces in the university in Bangladesh. The study has collected data from 288 Bangladeshi university employees using convenient sampling.
Findings
The findings that GHRM practices positively and significantly promote EGB, which captures the employee's tendencies to exercise green behavior in daily routine activities such as turning off lights, air conditioning, computers and equipment after working hours, printing on both sides, recycling (reducing, repair, reuse), disseminating good green ideas, concepts, digital skills and knowledge to peers and champion green initiatives at work. Moreover, the findings also revealed the sequential mediation of EEKM (environmental knowledge and knowledge sharing) and GSE of employees between the link GHRM and EGB. At last, the findings suggested that HR managers can implement the GHRM practices to promote green behaviors among the academic and non-academic staff of the university.
Originality/value
This study contributes to the field by extending knowledge of Social Cognition Theory and Social Learning Theory for greening workplaces in Bangladesh, particularly universities. Specifically, this empirical study is unique to the best of our knowledge and highlights the role of EEKM and GSE as mediation between GHRM and EGB association.
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Rebeca Martín-Díez, María Saiz-Santos and Andrés Araujo
This paper aims to explore the application of the National Expert Survey (NES) methodology in the circular economy, validating the model in the industrial ecosystem of the Basque…
Abstract
Purpose
This paper aims to explore the application of the National Expert Survey (NES) methodology in the circular economy, validating the model in the industrial ecosystem of the Basque Country to identify the challenges faced by the entrepreneurial ecosystem in the machine tool industry and to promote circular entrepreneurship.
Design/methodology/approach
This study uses the NES methodology, a globally recognized qualitative tool for gathering expert opinions. This methodology is adapted to the context of industrial circular entrepreneurship, ensuring that the constructs are relevant to the circular economy.
Findings
This study validates and expands the application of the NES model in the context of industrial circular entrepreneurship, providing a robust theoretical framework to evaluate the circular entrepreneurial ecosystem. The suitability of the Basque Country context, with its industrial legacy and cultural identity, has been key to this validation.
Practical implications
Concrete recommendations are provided to improve education, government intervention and financial conditions, highlighting key areas that facilitate the transition to sustainable business models and promote innovation and collaboration in the circular economy.
Originality/value
A new model is proposed, pioneering the validation of the NES methodology in industrial circular entrepreneurship and providing a specific tool to evaluate environmental factors in the Basque industry. The adaptation of the NES model offers a solid foundation for future research and applications. The model aids in decision-making, and its use has a social impact.
Objetivo
Este artículo explora la aplicación de la metodología NES en la economía circular, validando el modelo en el ecosistema industrial del País Vasco para identificar los desafíos que enfrenta el ecosistema emprendedor en la industria de la máquina herramienta y propone un modelo original para medir y promover el emprendimiento circular industrial. El modelo ha sido validado en el ecosistema industrial vasco, un contexto de referencia para la actividad y política industrial. Útil para la industria, la política y el ámbito académico, el modelo identifica factores favorables y áreas que requieren atención en el emprendimiento circular industrial.
Diseño/metodología/enfoque
El estudio utiliza la metodología NES, una herramienta cualitativa reconocida a nivel mundial para recopilar opiniones de expertos. Esta metodología se adapta al contexto del emprendimiento circular industrial, asegurando que los constructos sean relevantes para la economía circular. La metodología es clave para el estudio, ya que se ha diseñado una herramienta original basada en la metodología NES, ampliamente probada y validada, y específicamente adaptada para el emprendimiento circular industrial.
Resultados
El estudio valida y amplía la aplicación del modelo NES en el contexto del emprendimiento circular industrial, proporcionando un marco teórico robusto para evaluar el ecosistema emprendedor circular. La idoneidad del contexto del País Vasco, con su legado industrial e identidad cultural, ha sido clave para esta validación. Al abordar la notable falta de investigación sobre la economía circular desde la perspectiva del emprendimiento industrial, este artículo se presenta como una contribución particularmente valiosa.
Originalidad/valor
Se propone un nuevo modelo, pionero en la validación de la metodología NES en el emprendimiento circular industrial, proporcionando una herramienta específica para evaluar factores ambientales en la industria vasca. La adaptación del modelo NES ofrece una base sólida para futuras investigaciones y aplicaciones. El modelo ayuda en la toma de decisiones y su uso tiene un impacto social.
Implicaciones prácticas
Se ofrecen recomendaciones concretas para mejorar la educación, la intervención gubernamental y las condiciones financieras, destacando áreas clave que facilitan la transición hacia modelos de negocio sostenibles y promueven la innovación y la colaboración en la economía circular.
Objetivo
Este artigo explora a aplicação da metodologia NES na economia circular, validando o modelo no ecossistema industrial do País Basco para identificar os desafios enfrentados pelo ecossistema empreendedor na indústria de máquinas-ferramenta e propõe um modelo original para medir e promover o empreendedorismo circular industrial. O modelo foi validado no ecossistema industrial basco, um contexto de referência para a atividade e política industrial. Útil para a indústria, políticas públicas e o meio acadêmico, o modelo identifica fatores favoráveis e áreas que requerem atenção no empreendedorismo circular industrial.
Design/metodologia/abordagem
O estudo utiliza a metodologia NES, uma ferramenta qualitativa reconhecida mundialmente para a coleta de opiniões de especialistas. Esta metodologia é adaptada ao contexto do empreendedorismo circular industrial, garantindo que os constructos sejam relevantes para a economia circular. A metodologia é fundamental para o estudo, uma vez que foi desenvolvida uma ferramenta original baseada na metodologia NES, amplamente testada e validada, e especificamente adaptada para o empreendedorismo circular industrial.
Resultados
O estudo valida e expande a aplicação do modelo NES no contexto do empreendedorismo circular industrial, proporcionando um marco teórico robusto para avaliar o ecossistema empreendedor circular. A adequação do contexto do País Basco, com seu legado industrial e identidade cultural, foi essencial para esta validação. Ao abordar a notável falta de pesquisa sobre a economia circular a partir da perspectiva do empreendedorismo industrial, este artigo se apresenta como uma contribuição particularmente valiosa.
Originalidade
Propõe-se um novo modelo, pioneiro na validação da metodologia NES no empreendedorismo circular industrial, fornecendo uma ferramenta específica para avaliar fatores ambientais na indústria basca. A adaptação do modelo NES oferece uma base sólida para futuras pesquisas e aplicações. O modelo auxilia na tomada de decisões e seu uso tem um impacto social.
Implicações práticas
São fornecidas recomendações concretas para melhorar a educação, a intervenção governamental e as condições financeiras, destacando áreas-chave que facilitam a transição para modelos de negócios sustentáveis e promovem a inovação e a colaboração na economia circular.
Details
Keywords
- Entrepreneurship
- Circular economy
- Sustainability
- Industry
- Industrial circular entrepreneurship
- Entrepreneurial ecosystem
- GEM
- Emprendimiento
- Economía circular
- Sostenibilidad
- Industria
- Emprendimiento circular industrial
- Ecosistema emprendedor
- GEM
- Empreendedorismo
- Economia circular
- Sustentabilidade
- Indústria
- Empreendedorismo circular industrial
- Ecossistema empreendedor
- GEM
This paper aims to define intergenerational housing support and assesses and synthesizes the existing literature on intergenerational support for housing to identify trends and…
Abstract
Purpose
This paper aims to define intergenerational housing support and assesses and synthesizes the existing literature on intergenerational support for housing to identify trends and possible areas for future research.
Design/methodology/approach
The methodology employed in this paper is a systematic literature review. A total of 32 articles were chosen for assessment. Upon thorough review, summary and synthesis, general trends and three specific themes were identified.
Findings
The review of 32 papers found that intergenerational support is a crucial strategy to help younger generations achieve homeownership. However, it also highlights the potential for social inequity resulting from unequal distribution of housing resources within families, especially regarding housing. Several potential gaps in the current research are identified, including the need for explicit attention to the provider's intention, exploration into the size and form of financial support for housing, understanding how parental housing resources differ in their transfer behaviors, and examining how parental motivations influence them to provide housing support.
Originality/value
This paper provides recommendations for further research on the topic, while also adding perspective to understand the micro-social mechanisms behind the intergenerational reproduction of socioeconomic inequality, especially in the housing market.
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Gavin Foster, David Taylor and Stephanie Gough
This study aims to use the database of consumers referred to the dual diagnosis shared care service to examine those connections. The Eastern Dual Diagnosis Service, based in…
Abstract
Purpose
This study aims to use the database of consumers referred to the dual diagnosis shared care service to examine those connections. The Eastern Dual Diagnosis Service, based in Melbourne, Australia, has established a database of consumers with co-occurring mental health disorders and problematic substance use. An examination of mental health and substance-use information obtained over a two-year period in the delivery of dual diagnosis shared care to consumers of mental health services is supporting an improved understanding of substance use and the connections to specific mental health diagnoses of schizophrenia, bipolar disorder and schizoaffective disorder.
Design/methodology/approach
This research uses a quantitative approach to review the prevalence of primary substance use and mental health diagnoses for consumers referred to as dual diagnosis shared care. Reviewed are referrals from adult mental health community and rehabilitation teams operating within a mental health and well-being program between January 2019 and December 2020 inclusive.
Findings
Of the 387 clients referred to the specialist dual diagnosis shared care, methamphetamine, alcohol and cannabis are associated with 89.4% of the primary mental health diagnosis (PMHD). The most common PMHDs are schizophrenia, schizoaffective disorder and bipolar disorder. The most common PMHD and substance-use connection was schizophrenia and methamphetamine. Nicotine was reported to be used by 84% of consumers and often occurred in addition to another problematic primary substance.
Originality/value
Improved dual diagnosis data collection from a community-based clinical mental health service is increasing understanding of the mental health and substance-use relationship. This is now providing clarity on routes of investigation into co-occurring mental health and problematic substance-use trends and guiding improved integrated treatments within a contemporary mental health setting.
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Yong Rong Chan, Sankaranarayanan Seetharaman, Jerry Y.H. Fuh and Heow Pueh Lee
This study aims to assess the feasibility of laser powder bed fusion (LPBF) processing using as-received gas-atomized spherical Neodymium-Iron-Boron (NdFeB) powder (17–68 µm)…
Abstract
Purpose
This study aims to assess the feasibility of laser powder bed fusion (LPBF) processing using as-received gas-atomized spherical Neodymium-Iron-Boron (NdFeB) powder (17–68 µm), compared to literature methods that sieve to a narrow size range (<40 µm).
Design/methodology/approach
The research involves single track and layer printing, process optimization and subsequent heat treatment and magnetic annealing. The experimental approach includes conducting systematic printing trials to assess the impact of various parameters on printed track and layer quality, and refining printing parameters through iterative testing. Heat treatment and magnetic annealing are applied to achieve the desired magnetic properties.
Findings
A minimum linear energy density of 0.10 J/mm is required for continuous track formation, with track width largely unaffected by varying linear energy densities. An optimal hatch spacing of approximately 42% overlap avoids layer defects, with 0.10 mm spacing suitable for layer thicknesses between 30 and 80 µm. A stable processing window for energy density (EA) of 0.6–1.0 J/mm2 was identified, allowing cuboid printing despite some discontinuous tracks, indicating potential fusion issues. Maximizing volumetric energy density (EV) within this range correlates positively with part density, achieving 92% density, coercivity of 490 kA/m and remanence of 496 mT. Post-treatment, density increased to 96%, coercivity to 582 kA/m and remanence to 544 mT.
Originality/value
This study fills a significant gap in LPBF literature for NdFeB by using the original wider size range of spherical powder without sieving, demonstrating improved cost-effectiveness, material efficiency and build efficiency. These findings offer practical recommendations for addressing the challenges related to LPBF processing of NdFeB powder.