Nihan Arslan, Moustafa Haj Youssef and Rajab Ghandour
This study aims to explore how artificial intelligence (AI) tools influence the academic success and adaptation of international students in higher education. It examines the…
Abstract
Purpose
This study aims to explore how artificial intelligence (AI) tools influence the academic success and adaptation of international students in higher education. It examines the benefits, challenges and ethical considerations including academic integrity of integrating AI in learning environments.
Design/methodology/approach
An exploratory qualitative research approach was employed, utilising semi-structured interviews with postgraduate international students from diverse backgrounds.
Findings
The findings suggest that AI tools enhance academic performance by offering personalised learning, immediate feedback and efficient assessment. However, concerns about ethical use, over-reliance and the potential impact on critical thinking and academic integrity were prominent in the contexts of assessments and learning experiences.
Originality/value
The research offers unique insights by focusing on postgraduate international students, an often-underrepresented group in AI education studies. Their distinctive challenges, including adapting to new academic environments and overcoming language barriers, make them a particularly valuable sample for understanding the role of AI in higher education. This focus allows the study to contribute new perspectives on how generative AI (GenAI) tools like Grammarly and ChatGPT facilitate academic performance improvement, especially in enhancing writing proficiency and managing academic expectations. These findings extend the discussion by specifically addressing the experiences of international students in postgraduate studies, a demographic where AI’s impact has been less explored.
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Thai Hong Le, Tram Anh Luong, Sergio Morales Heredia, Trang Thuy Le, Linh Phuong Dong and Trang Thi Nguyen
This paper aims to investigate the sentiment connectedness among 10 European stock markets between January 2020 and July 2022, associating such connectedness with the level of the…
Abstract
Purpose
This paper aims to investigate the sentiment connectedness among 10 European stock markets between January 2020 and July 2022, associating such connectedness with the level of the geopolitical risk index.
Design/methodology/approach
For this purpose, a time-varying parameter vector autoregressive connectedness framework is used.
Findings
Results show a high degree of sentiment connectedness. Overall, the sentiments of Portugal, France, the Netherlands, Spain, Germany and Italy are net transmitters of shocks while those of Poland, Sweden, Norway and Romania are net receivers. Additional evidence indicates that when geopolitical risks increase, the sentiment connectedness tends to decrease. However, the reverse holds under extremely high levels of geopolitical risks.
Originality/value
Overall, this study provides some significant contributions to the literature. First, to the best of the authors’ knowledge, this is among the first few studies to examine the dynamic connectedness among stock market sentiment across countries. This issue needs special consideration for European countries because of their close geographical distance and strong integration due to the European Union’s co-development strategies. Second, the association of sentiment connectedness with geopolitical risk is examined for the first time. This is even more meaningful in the context of growing geopolitical risks stemming from the Ukraine war, which could affect international financial markets.
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Chato Rasoal and Tony Blomqvist Mickelsson
This scoping review mapped the extant literature on parents with a justice-involved youth and their attitudes and perceptions toward police. The study aimed to explore two…
Abstract
Purpose
This scoping review mapped the extant literature on parents with a justice-involved youth and their attitudes and perceptions toward police. The study aimed to explore two research questions: (1) How do perceptions between parent and youth correspond? and (2) What factors affect the parental perception of police?
Design/methodology/approach
A total of 14 studies were identified and analyzed. The review focused on understanding the relationship between parental and youth perceptions of police, as well as identifying factors that influence parental attitudes.
Findings
In short, parents’ perception of police strongly corresponds to that of youths’ perception of police and parents with negative views of the police significantly impact how their children perceive law enforcement. Parental perceptions were found to be influenced by demographic, interpersonal and contextual factors. Notably, police officers’ communicative skills, transparency and ability to interact with parents of justice-involved youth without stigmatizing them were critical in shaping positive perceptions.
Research limitations/implications
The findings are based on a geographically limited number of studies. Future research should further explore these dynamics in different sociocultural contexts and expand the sample size for broader conclusions.
Practical implications
The study underscores the importance of police officers developing strong communication skills and engaging with parents in a manner that avoids stigmatization. Improved interactions between law enforcement and families are essential for supporting justice-involved youth.
Originality/value
This review highlights the role of parental attitudes in shaping youth perceptions of law enforcement that may inform police training aimed at fostering cooperation with families.
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Huan Yang, Jun Cai and Robert Webb
We aim to examine two issues. First, we intend to identify the best performing expected return proxies. Second, we investigate whether the expected return proxies for individual…
Abstract
Purpose
We aim to examine two issues. First, we intend to identify the best performing expected return proxies. Second, we investigate whether the expected return proxies for individual stocks can track the corresponding realized returns during extremely good or extremely bad times of the economic environment related to business conditions, stock market valuation and broad market performance.
Design/methodology/approach
We construct four sets of expected return proxies, including: (1) characteristic-based proxies; (2) standard risk-factor-based proxies; (3) risk-factor-based proxies that allow betas to vary with firm characteristics and (4) macroeconomic-variable-based proxies. First, we estimate expected returns for individual stocks using newly developed methods and evaluate the performance of these expected return proxies based on the minimum variance criterion of Lee et al. (2020). Second, we regress expected return proxies and realized returns on indicator variables that capture the extreme phases of the economic environment. Then we compare the estimated coefficients from these two sets of regressions and see if they are similar in magnitude via formal hypothesis testing.
Findings
We find that characteristic-based proxies and risk-factor-based proxies that allow betas to vary with firm characteristics are the two best performing proxies. Therefore, it is important to allow betas to vary with firm characteristics in constructing expected return proxies. We also find that model-based expected return proxies do a reasonably good job capturing actual returns during extremely bad and extremely good phases of business cycles measured by leading economic indicators, consumer confidence and business confidence. However, there is a large gap between the adjustment of model-based expected returns and realized returns during extreme episodes of stock market valuation or broad market performance.
Originality/value
We examine four types of expected return proxies and use the newly developed methodology as in Lee et al. (2020) to see which one is the best. In addition, we document whether model-based expected returns from individual stocks adjust partially or fully to keep pace with actual returns in response to changing economic conditions. No prior studies have examined these two issues.
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Ngoc Bich Do, Y Nhu Nguyen Luu, Vi Thai Huyen Kim and Viet Chi Duong
Spirituality serves as an ethical benchmark for shaping human and brand identity. Only a few studies have recently attempted to examine the impact of spiritual attributes on…
Abstract
Spirituality serves as an ethical benchmark for shaping human and brand identity. Only a few studies have recently attempted to examine the impact of spiritual attributes on customer behavior. This study extends the current literature and aims to develop a research model to investigate spiritual brand attributes toward customers’ behavior. The study employs the stimulus–organism–response (SOR) model as a theoretical signpost to construct the research model. Driven by this chapter, future research opportunities are presented, and the opportunity for empirical research is also illustrated.
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This research investigates the complex relationship between economic policy uncertainty (EPU), energy consumption and institutional factors in the Gulf region. The purpose of this…
Abstract
Purpose
This research investigates the complex relationship between economic policy uncertainty (EPU), energy consumption and institutional factors in the Gulf region. The purpose of this study is to examine how institutional factors moderate the impact of EPU on energy consumption in Gulf countries.
Design/methodology/approach
This paper uses the dynamic panel autoregressive distributed lag (PARDL) method, over a period stretching from 1996 to 2021 in the Gulf countries.
Findings
The results show that, only in the long term, EPU has a positive and significant impact on energy consumption, suggesting that increased EPU leads to increased energy use. Furthermore, this study found that, only in the long term, government effectiveness and regulatory quality have positive and significant effect on energy consumption. Accordingly, the two institutional factors play a moderating role in the EPU−energy consumption nexus.
Research limitations/implications
This study highlights the importance of considering the time dimension when formulating energy and economic policies in Gulf countries. Policymakers should take into consideration the nature of these relationships to make informed decisions that promote energy efficiency and economic stability in the region.
Originality/value
To the best of the authors’ knowledge, this is the first study examining the relationship between EPU and energy consumption in the Gulf countries while incorporating the role of institutional factors as potential mediators.
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This chapter examines the Asia-Pacific region's circular economy (CE) actions concerning climate change policies.
Abstract
Purpose
This chapter examines the Asia-Pacific region's circular economy (CE) actions concerning climate change policies.
Methodology
A systematic narrative synthesis of subsequent systematic literature review (SLR) using the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines is adopted, and this study reviews 38 sample studies on CE practices and climate change policies in conducting the survey.
Findings
The findings suggest a policy convergence in the CE and climate change. This study identified several gaps in current policies regarding CE integration, such as a lack of comprehensive CE legislation, insufficient incentives for circular practices, limited focus on waste reduction and resource efficiency, need for enhanced public awareness and education, inadequate infrastructure for recycling and waste management and weak coordination among stakeholders. Challenges and barriers were identified regarding economic, social, political and technological aspects.
Implications
This chapter provided policy recommendations on integrative approaches, regional cooperation and partnerships and implementing financial and regulatory incentive practices. New technologies and methods open the door to expanding the goal of the CE.
Originality
This study presents the findings of the current status of CE actions regarding climate change policies for the Asia-Pacific countries, provides proactive management recommendations and implications for future practices and identifies the need to collaborate for the region's sustainable development.
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Mananage Shanika Hansini Rathnasiri and Dewanarayana Hiththaragedara Prasad Manuranga Gunathilaka
This study seeks to review the existing literature on the challenges and issues of climate change and sustainability in the South Asian region.
Abstract
Purpose
This study seeks to review the existing literature on the challenges and issues of climate change and sustainability in the South Asian region.
Methodology
The study adopts the systematic literature review using the guidelines of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The sample consists of 39 studies highly relevant to the topic.
Findings
Population, urbanisation, poverty, inequality and health impacts were identified as socio-economic challenges. In contrast, deforestation and land degradation, water scarcity and quality, and biodiversity loss were identified as environmental challenges in mitigating climate change while achieving sustainability. Nonetheless, national, regional and international sustainability endeavours are still limited in their functionality and applications due to socio-economic inequalities, political problems and weak cohesiveness in the region.
Implications
The conclusions call for immediate concern to effective and concerted strategies and policies to address climate vulnerability and improve climate brilliant resilience in South Asia. Policymakers, practitioners and all those concerned with these phenomena are encouraged to utilise integrated strategies that focus on preventing and managing change, using technological innovations and promoting regional and international cooperation.
Originality
To the authors' knowledge, the current study differs from prior works because it employs a comprehensive systematic review to capture diverse literature on climate change issues and sustainable development endeavours within South Asia.
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Udoka Okonta, Amin Hosseinian-Far and Dilshad Sarwar
With the rise in demand and adoption of smart city initiatives, it is imperative to plan the railway infrastructure, as it will have a huge positive impact if adequately…
Abstract
Purpose
With the rise in demand and adoption of smart city initiatives, it is imperative to plan the railway infrastructure, as it will have a huge positive impact if adequately integrated into the planning process. Given the complexities involved, a whole systems thinking framework provides a useful platform for rail transport planners.
Design/methodology/approach
This paper proposes a simple, adoptable framework utilising systems thinking concepts and techniques taking into cognisance the key stakeholders. Milton Keynes in the United Kingdom is the adopted case study.
Findings
Selected systems thinking tools and techniques are adopted to develop a framework for mapping stakeholders and attributes when developing sustainable rail transport systems, taking note of their core functionalities and the complex systems wherein they exist.
Practical implications
The desire to build future (smart) cities is to effectively match infrastructural resources with a rapidly growing population, and the railway sector can play a strategic role in building a much more competitive low-carbon-emission transport system, which is a driving force for sustainable development.
Social implications
The urban rail service has become vital to urban development as railway stations serve as hubs for sustainable mobility to meet local requirements. Moreover, it takes extra effort to input railway development into smart city plans, as it is a herculean task to get governments to focus on it with clarity of purpose in passing legislation.
Originality/value
The developed framework reduces complexities when planning and designing rail transport systems compared to many of the existing reductionist planning approaches. The simplicity of the framework would also make it easily adoptable by a wide range of users.
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Brinda Sree Tamilarasan and Kavitha Ramasamy
The purpose of this study is to provide a comprehensive overview of sustainable fashion consumption from a consumer behavior perspective, combining scientometric analysis and the…
Abstract
Purpose
The purpose of this study is to provide a comprehensive overview of sustainable fashion consumption from a consumer behavior perspective, combining scientometric analysis and the SPAR-4-SLR protocol to identify trends, key contributors and research gaps in the field.
Design/methodology/approach
The study analyzes 114 articles published between 2014 and 2024, sourced from the Scopus database. A hybrid approach is used, employing VOSviewer and Rstudio for quantitative analysis, along with the theory-context-characteristics-methodology framework to systematically review constructs, theories, contexts and methodologies in the selected articles.
Findings
The findings highlight critical insights into consumer behavior regarding sustainable fashion and identify gaps in the literature. The study also provides performance indicators, including publication trends and citation metrics, visualized through tables and maps. It offers practical guidance for businesses and policymakers to promote sustainable consumption practices.
Originality/value
This research contributes to the field by integrating scientometric and systematic review methods, providing a novel approach to understanding sustainable fashion consumption. It also suggests future research directions and explores how benchmarking techniques can enhance consumer engagement and sustainability strategies.