bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improving Executive Function and Dual-Task Cost in Parkinson Disease: A Randomized Controlled Trial
Authors: Zhou Jun-Hong , Wang Ray-Yau , Liu Yo-Tsen , Cheng Shih-Jung , Liu Hsin-Hsuan , Yang Yea-Ru 
Published: August 2024

Background and Purpose:Dual-task walking is challenging for people with Parkinson disease (PD). Gait performance worsens while executing dual tasks, possibly due to a decline in executive function (EF). This study aimed to investigate the effects of dual-task training on EF and dual-task cost (DTC) in people with PD and to explore whether training-induced changes in EF were associated with changes in DTC.Methods:This study was a randomized controlled trial. A total of 28 people with PD participated. Participants were randomly assigned to the experimental group (dual-task training) and the control group (treadmill training). Both groups received a total of 16 training sessions during the 8 weeks. Assessments were conducted at baseline and postintervention. Primary outcomes included EF and dual-task cost.Results:Significant time-by-group interactions were found in executive function and DTC. The experimental group showed significant improvement in frontal assessment battery (FAB), trail-making test (TMT) part A, Stroop color and word test (SCWT), and DTC on speed in cognitive dual-task walking. There was a moderate to high correlation between the change values of the FAB, TMT part A, SCWT, and the change values of DTC in cognitive dual-task walking.Discussion and Conclusions:Compared to treadmill training, dual-task training resulted in greater improvements in EF and DTC. Training-induced changes in EF were linked to changes in DTC when walking while performing a cognitive task but not when walking while performing a motor task.Video Abstract:For more insights from the authors Supplemental Digital Content available at http://links.lww.com/JNPT/A485
Spatial differences, evolutionary characteristics and driving factors on economic resilience of the construction industry: evidence from China
Authors: Wang Zhenshuang , Hu Tingyu , Liu Jingkuang , Xia Bo , Chileshe Nicholas 
Published: August 2024

PurposeThe sensitivity and fragility of the construction industry’s economic system make the economic resilience of the construction industry (ERCI) a key concern for stakeholders and decision-makers. This study aims to measure the ERCI, identify the heterogeneity and spatial differences in ERCI, and provide scientific guidance and improvement paths for the industry. It provides a foundation for the implementation of resilience policies in the construction industry of developing countries in the future.Design/methodology/approachThe comprehensive index method, Theil index method, standard deviation ellipse method and geographic detector model are used to investigate the spatial differences, spatiotemporal evolution characteristics and the influencing factors of the ERCI from 2005 to 2020 in China.FindingsThe ERCI was “high in the east and low in the west”, and Jiangsu has the highest value with 0.64. The Theil index of ERCI shows a wave downward pattern, with significant spatial heterogeneity. The overall difference in ERCI is mainly caused by regional differences, with the contribution rates being higher by more than 70%. Besides, the difference between different regions is increasing. The ERCI was centered in Henan Province, showing a clustering trend in the “northeast-southwest” direction, with weakened spatial polarization and a shrinking distribution range. The market size, input level of construction industry factors, industrial scale and economic scale are the main factors influencing economic resilience. The interaction between each influencing factor exhibits an enhanced relationship, including non-linear enhancement and dual-factor enhancement, with no weakening or independent relationship.Practical implicationsExploring the spatial differences and driving factors of the ERCI in China, which can provide crucial insights and references for stakeholders, authorities and decision-makers in similar construction economic growth leading to the economic growth of the national economy context areas and countries.Originality/valueThe construction industry development is the main engine for the national economy growth of most developing countries. This study establishes a comprehensive evaluation index on the resilience measurement and analyzes the spatial effects, regional heterogeneity and driving factors on ERCI in the largest developing country from a dynamic perspective. Moreover, it explores the multi-factor interaction mechanism in the formation process of ERCI, provides a theoretical basis and empirical support for promoting the healthy development of the construction industry economy and optimizes ways to enhance and improve the level of ERCI.
Virtue-based leadership and organizational commitment: a study from Al-Ghazali’s perspective
Authors: Budur Taylan 
Published: August 2024

Purpose
This study aims to investigate the impact of leader’s religiosity on teachers’ organizational commitment and leaders’ virtuous behaviors. Second, it is intended to examine the significant influence of Al-Ghazali’s fundamental virtues – wisdom, justice, temperance and courage – on the level of commitment displayed by teachers in K12 schools.

Design/methodology/approach
To analyze this connection, a total of 335 surveys were collected from K12 private schools situated in the Kurdistan Region of Iraq. The data were then evaluated using confirmatory factor analysis and structural equation modeling.

Findings
It has been found that leaders’ virtuous behaviors have significant positive effects on teachers’ commitment. Furthermore, while religiosity did not directly influence teachers’ commitment, the virtuous behaviors of leaders played a significant mediating role in this relationship.

Originality/value
This research fills a gap in the literature by exploring the impact of Islamic ethical principles on employee commitment, specifically within the context of K12 education in the Kurdistan Region of Iraq. It emphasizes the critical role of leaders’ virtuous behaviors in improving employee commitment.
Perceived healthcare quality via digital health platforms – evidence from Indian hospitals
Authors: Persis Jinil 
Published: August 2024

PurposeTechnology-enabled healthcare focuses on providing better information flow and coordination in healthcare operations. Technology-enabled health services enable hospitals to manage their resources effectively, maintain continuous patient engagement and provide seamless services without compromising their perceived quality.Design/methodology/approachThis study investigates the role of technology-enabled health services in improving perceived healthcare quality among patients. Data are collected from the users (n = 418) of health platforms offered in multi-specialty hospitals. Multiple learners are employed to accurately represent the users' perceived quality regarding the perceived usefulness of the features provided via these digital health platforms.FindingsThe best-fitted model using a decision tree classifier (accuracy = 0.86) derives the accurate significance of features offered in the digital health platform in fostering perceived healthcare quality. Diet and lifestyle recommendations (30%) and chatting with health professionals (11%) are the top features offered in digital health platforms that primarily influence the perceived quality of healthcare among users.Practical implicationsThe predictability of perceived quality with the individual features existing in the digital health platform, the significance of the features on the perceived healthcare quality and the prediction rules showing the combined effect of features on healthcare quality can help healthcare managers accelerate digital transformation in hospitals by improving their digital health platform, designing and offering new health packages while strengthening their e-infrastructure.Originality/valueThe study represents perceived healthcare quality with the features offered in digital health platforms using machine learners based on users' post-pandemic experience. By advancing digital platforms with more patient-centric features using emerging technologies, this model can further foresee its impact on the perceived quality of healthcare, offering valuable directions to healthcare service providers. The study is limited to focusing on digital health platforms that can deal with people's general healthcare needs.
Fiscal policy and income inequality in SA: a quantile regression
Authors: Olaoye Olumide Olusegun , Al-Faryan Mamdouh Abdulaziz Saleh , Tabash Mosab I. 
Published: August 2024

PurposeThe objective of the research is threefold. First, the study examines the fiscal policy – income inequality nexus in SA. Second, the study addressed the potential asymmetric effects in fiscal policy – income inequality nexus in SA (i.e. we assessed the effects of fiscal policy on income inequality at different quantiles of the income inequality) using secondary data from 1980–2020. Third, the study also identifies the optimal fiscal policy instrument that achieve the greatest distributional objectives.Design/methodology/approachThe study adopts the traditional ordinary least square (OLS) and the innovative Quantile estimation techniques.FindingsThe study found that fiscal policy marginally reduces the income inequality at the lower quantiles (t: 0.05). Specifically, the results show that government spending on health and education reduces income inequality at the lower quantiles (t: 0.05; t: 0.25), albeit exerts a statistically weak impact. On the other hand, the results show that at the upper quantiles, fiscal policy has no statistically significant impact on income inequality. However, we do not find either direct or indirect tax to have any impact on income inequality at any conventional level of significance. This suggests that government spending on health and education have the greater potential to reduce income inequality in South Africa. The research and policy implications are discussed.Originality/valueThe study addressed the asymmetric phenomenon in income inequality-fiscal policy nexus in South Africa.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-12-2023-0956
A cross-cultural examination of sustainable luxury consumption: a comparative study of social norms, self-control and future orientation in the UK and China
Authors: Balabanis George , Stathopoulou Anastasia , Chen Xiaolan 
Published: August 2024

PurposeThe study addresses gaps in sustainable luxury consumption research by analyzing the role of social norms in different cultural settings. It investigates how social norms, self-control, conspicuousness and future orientation shape sustainable luxury consumption in individualistic (UK) versus collectivist (China) national cultures.Design/methodology/approachThe study was based on survey data from British and Chinese luxury product consumers collected through online panels. The final sample included 452 valid responses from the UK and 414 from China. Hypotheses were tested using structural equation modeling.FindingsThe study found that descriptive norms positively influence sustainable luxury consumption in individualistic (UK) and collectivist (China) cultures. Injunctive norms affect sustainable consumption only in the UK. Future consequences universally impact sustainable consumption. Conspicuous consumption negatively affects preferences for sustainable luxury brands. Self-control enhances the impact of descriptive norms in the UK but reduces the impact of injunctive norms in China.Originality/valueThis study uniquely explores how social norms and cultural influences impact sustainable luxury consumption in individualistic and collectivistic societies. It highlights the moderating role of national culture, providing actionable insights for luxury brands to enhance sustainable consumption with culturally tailored strategies. The research challenges the universality of the theory of normative social behavior, advocating for its refined application across different cultures.
Mediating role of staff engagement in staff performance among academics of universities: bootstrapping approach
Authors: Abdullahi Mohammed Sani , Arnaut Marina , Adeiza Adams , Mahmoud Mahmoud Ahmad , Shahreki Javad , Aigbogun Osaro , Kofar Naisa Farouk Umar , Nuhu Muhammad Shaheer , Ya'u Abba 
Published: August 2024

PurposeThe purpose of this research is to assess how full-time tenured academic staff promotion practices (SPP) in Malaysian private universities (MPUs) influence academic staff engagement (SE) and academic staff performance (SP).Design/methodology/approachThe research used quantitative and descriptive methods, focusing on MPUs' academic staff as the unit of analysis. Sampling involved simple random and stratified techniques, with 314 academic personnel surveyed. Participant data was collected through a questionnaire, and study hypotheses were tested using partial least squares structural equation modeling (PLS-SEM) via a bootstrapping approach.FindingsThe findings show that SE somewhat mediates the connection between SPP and SP and that SPP significantly influences SP.Practical implicationsThis study emphasizes the importance of impartiality and transparency within university administration when promoting academic staff. Universities should adopt modern strategies and approaches for advancing their employees to higher positions, doing so will motivate employees to fully invest in their work, leading to sustained high-performance levels.Originality/valueThis research has substantially improved the understanding and the practical utilization of literature about SP, SPP and SE. This improvement can potentially facilitate the development of models, theories, research initiatives, and practical strategies geared toward enhancing staff efficiency.
Resilient and sustainable B2B chemical supply chain capacity expansions: a systematic literature review
Authors: Krimi Issam , Bahou Ziyad , Al-Aomar Raid 
Published: August 2024

Purpose
This work conducts a comprehensive analysis of how to incorporate resilience and sustainability into capacity expansion strategies for business-to-business (B2B) chemical supply chains. This study aims to guide both researchers and managers on ensuring profitability in B2B chemical supply chains while minimizing environmental impacts, complying with regulations and mitigating disruptions and risks.

Design/methodology/approach
A systematic literature review is conducted to analyze the interplay between sustainability and resilience in chemical B2B supply chains, specify the quantitative and qualitative methods used to tackle this challenge and identify the drivers and barriers concerning capacity expansion. In addition, a comprehensive conceptual framework is suggested to outline a compelling research agenda.

Findings
The findings emphasize the increasing importance of modeling and resolving decision-making challenges related to sustainable and resilient supply chains, particularly in capital-intensive chemical industries. Yet, there is no standardized strategy for addressing these challenges. The predominant solution methods are heuristic and metaheuristic, and the selection of performance metrics tends to be empirical and tailored to specific cases. The main barriers to achieving sustainability and resilience arise from resource limitations within the supply chain. Conversely, the key drivers of performance focus on enhancing efficiency, competitiveness, cost effectiveness and risk management.

Practical implications
This work offers practitioners a conceptual framework that synthesizes the knowledge and tackles the challenges of designing sustainable and resilient supply chains as well as managing their operations in the context of B2B chemical supply chains. Results provide a practical guide for navigating the complex interplay of sustainability, resilience and chemical supply chain expansion.

Originality/value
The key concepts and dimensions associated with capacity expansion planning for a resilient and sustainable chemical supply chain are identified through structured and comprehensive analyses of existing literature. A conceptual framework is proposed for delineating the intersections among sustainability, resilience and chemical supply chain expansions. This mapping endeavor aims to facilitate a future characterized by the deployment of a nexus of resilience and sustainability in chemical supply chains. To this end, a promising future research agenda is accordingly outlined.
Assessing the maturity of integration of health and social care in Finland – findings from a pilot study
Authors: Pesonen Tiina , Sulander Juhani , Tiirinki Hanna , Räsänen Pekka , Sahlström Merja , Keskimäki Ilmo , Sinervo Timo 
Published: August 2024

PurposeIntegrated care is the leading approach to developing health and social care services in Finland. After the national health and social care reform, the importance of assessing integration has been emphasized. The aim of this study was to pilot the SCIROCCO tool, which assesses integration maturity, in Finland. The SCIROCCO tool was translated and adapted to the Finnish health and social care context. The feasibility and utility of this tool for assessing the maturity for integration across health and social care in Finland were evaluated using empirical pilot data collected among employees of selected well-being service counties. The study also provided baseline information on the maturity of integration after the national health and social care reform.Design/methodology/approachEmployees (n = 111) of different personnel groups in health and social care services in four well-being service counties assessed the maturity of integration using a web-based survey. A pilot study design was used.FindingsThe SCIROCCO tool was found to be useful for assessing the maturity of integration in health and social care within the well-being service counties. However, the tool requires further development to be fully adapted to the Finnish health and social care system and to assess integration across sectors. The results emphasize the need to understand the perspectives of different personnel groups on integration and to consider them in the development work.Originality/valueThis was the first study conducted in Finland that provided valuable insights into the assessment of integration across the health and social care sectors. This study establishes the foundation for future research and development in the field of integration assessment.
The importance of team diversity in initial coin offerings (ICO) success
Authors: Del Sarto Nicola , Staglianò Raffaele , Gai Lorenzo , Crupi Antonio 
Published: August 2024

PurposeThis paper aims to comprehensively investigate the multifaceted realm of Initial Coin Offerings (ICOs), delving into their unique characteristics, analyzing their far-reaching influence, and uncovering broader implications within the ever-evolving financial landscape. By addressing the research gap concerning the impact of team diversity on ICO success, we contribute nuanced insights to the existing discourse. Through meticulous data collection and econometric modeling, our purpose is to unravel the intricate dynamics at play, offering valuable perspectives on the transformative role of ICOs and the potential significance of team diversity in shaping their outcomes.Design/methodology/approachTo explore the impact of team diversity on the success of Initial Coin Offerings (ICOs), we compiled a comprehensive database comprising 3,082 profiles and 309 projects from LinkedIn, ICOBench, and Coindesk. This dataset facilitated the creation of diverse variables for our econometric model, enabling a nuanced analysis of interactions and dynamics in the context of our research question. Through this methodical approach, we aim to contribute valuable insights into the role of team diversity in shaping the outcomes of ICO campaigns.FindingsOur analysis of 3,082 profiles and 309 projects sheds light on the intricate dynamics of Initial Coin Offerings (ICOs). Team diversity emerges as a pivotal factor, significantly impacting the success of ICO campaigns. The econometric model, enriched with variables derived from our extensive dataset, reveals nuanced interactions. Teams characterized by diverse profiles exhibit a tangible influence on campaign outcomes, underscoring the importance of inclusivity in shaping the transformative potential of ICOs. These findings contribute valuable insights into the evolving landscape of financial innovation, emphasizing the role of diverse teams in navigating the complexities of decentralized, inclusive investment paradigms.Originality/valueThis study contributes to the evolving discourse on Initial Coin Offerings (ICOs) by pioneering an exploration into the uncharted territory of team diversity and its impact on campaign success. While previous research has delved into ICO performance and success variables, our focus on team diversity as a critical determinant presents a novel perspective. By methodically assembling a substantial dataset and applying an intricate econometric model, we offer a unique lens through which to understand the nuanced interplay of diverse teams in shaping the outcomes of ICOs. This fills a significant research gap and provides valuable insights into the multifaceted dynamics of contemporary financial innovation.
A pruned GA-BPNN model for project portfolio benefit evaluation considering ambidexterity
Authors: Bai Libiao , Liu Shiyi , An Yuqin , Xie Qi 
Published: August 2024

PurposeProject portfolio benefit (PPB) evaluation is crucial for project portfolio management decisions. However, PPB is complex in composition and affected by synergy and ambidexterity. Ignoring these characteristics can result in inaccurate assessments, impeding the management and optimization of benefit. Considering the above complexity of PPB evaluation, this study aims to propose a refined PPB evaluation model to provide decision support for organizations.Design/methodology/approachA back propagation neural network optimized via genetic algorithm and pruning algorithm (P-GA-BPNN) is constructed for PPB evaluation. First, the benefit evaluation criteria are established. Second, the inputs and expected outputs for model training and testing are determined. Then, based on the optimization of BPNN via genetic algorithm and pruning algorithm, a PPB evaluation model is constructed considering the impacts of ambidexterity and synergy on PPB. Finally, a numerical example was applied to validate the model.FindingsThe results indicate that the proposed model can be used for effective PPB evaluation. Moreover, it shows superiority in terms of MSE and fitting effect through extensive comparative experiments with BPNN, GA-BPNN, and SVM models. The robustness of the model is also demonstrated via data random disturbance experiment and 10-cross-validation. Therefore, the proposed model could serve as a valuable decision-making tool for PPB management.Originality/valueThis study extends prior research by integrating the impacts of synergy and ambidexterity on PPB when conducting PPB evaluation, which facilitates to manage and enhance PPB. Besides, the structural redundancy of existing assessment methods is solved through the dynamic optimization of the network structure via the pruning algorithm, enhancing the effectiveness of PPB decision-making tools.