bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of a conceptual model on I4.0 technologies’ influence on SCR
Authors: Sharma Yashpal , Modgil Sachin , Singh Rohit Kumar 
Published: December 2024

Purpose In a dynamic and uncertain business environment, it is necessary for companies to adapt to be capable of addressing the changing circumstances and ensure business continuity. Hence, companies are employing advanced Industry 4.0 (I4.0) technologies. This study aims to explore the role of advanced I4.0 technologies in facilitating companies’ development towards supply chain resilience (SCR).Design/methodology/approach The study adopted a structured approach of Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) to identify 234 articles. Under PRISMA, we adopted a three-phase methodology of planning, conducting and reporting the review results. The data of these articles were synthesized using a Scopus database to investigate the relationship between I4.0 technologies and SCR.Findings The study’s findings map the technologies appropriate in different supply chain nodes and bridge the literature gap in the intersection of I4.0 technologies and SCR. The study results indicate the role of I4.0 technologies role in achieving resilience in key functions of an organization through an I4.0 technologies-enabled sourcing, manufacturing, distribution and return resilience (I-SMDRR) framework. The I-SMDRR framework also depicts the relationship being moderated by internal and external risk factors.Originality/value The study offers a unique framework by mapping sourcing, manufacturing, distribution and return resilience through I4.0 technologies. Additionally, the review delineates the theory-mapped research gaps helpful for future researchers. In summary, this systematic review of the literature identifies the components that lead to developing SCR.
Organization processes and artificial intelligence (AI) for healthcare processes reorganization: a case study
Authors: Rosa Angelo , Massaro Alessandro , Secundo Giustina , Schiuma Giovanni 
Published: December 2024

PurposeThis study aims to provide a methodology and tools to design new organizational processes and artificial intelligence (AI)-based scoring to optimize the resources management in healthcare units.Design/methodology/approachProcess design and process data-driven simulation: the processes are designed by the business process modeling and notation and the unified modeling language standards. Data processing is performed by Correlation matrix analysis and by Fuzzy c-Means data clustering. The matching between the two methods provides the most indicated final corrective actions of the “TO BE” organizational model.FindingsThis proposed method, experimentally applied in this work merging the lean management model (LMM), process mining (PM) and AI methods, named process mining organization (PMO) model (Rosa et al., 2023 (b)), is able to improve organizational processes of a hospitalization unit (HU) by developing three propaedeutic phases: (1) analysis of the current state of the processes (“AS IS”) by identifying the critical issues as bottlenecks of processes, (2) AI data processing able to provide additional classified and predicted information allowing the “TO BE” workflow process and (3) implementation of corrective actions suggested by the PMO in order to support strategic decision-making processes in the short, medium and long term by classifying an order of priority about the healthcare procedures/protocols to perform.Research limitations/implicationsThe main limitation of the proposed case study is in the limited number of available digital data to process. This aspect reduces the capability to interpret result. In any case, the proposed methodology is a “launch” work to define a new approach to integrate organizational processes including workflow design and AI scoring. Future work will be focused on managerial implications due to use of the discussed method: design and development of new human resource (HR) organizational protocols following data analysis to optimize costs and care services and to decrease injury compensation claims.Practical implicationsMain implications are in healthcare managerial scenarios: design and development of new HR organizational protocols following data analysis to optimize costs and care services and to decrease injury compensation claims.Social implicationsCare services optimization is addressed on HUs.Originality/valueThe design of HR organizational processes integrates AI-driven data decision-making processes. This case study examines AI-based innovation analytics addressed on resource efficiency.
An inquiry into factors influencing non-clinical healthcare professionals’ feedback-seeking behavior
Authors: Tkachenko Oleksandr , Ortiz Abigail R. , Chen Yan 
Published: December 2024

Purpose
This study aimed to explore factors that influence non-clinical staff’s feedback seeking from peers and supervisors.

Design/methodology/approach
The authors used a qualitative, interpretive approach to data collection and analysis. The authors conducted in-depth interviews with 15 non-clinical staff regarding their experiences with feedback seeking at work. To identify themes and patterns of meaning, the authors followed the guidelines for reflexive thematic analysis.

Findings
The authors find that non-clinical staff’s feedback-seeking behavior was shaped by task-, motivation-, source- and context-related factors. The study’s findings also point to the critical role of peer feedback among non-clinical staff. The authors find that, regarding their daily tasks, non-clinical staff seek feedback from their peers more often than from supervisors.

Research limitations/implications
The authors encourage scholars to examine the role of trust and expertise in peer feedback-seeking behavior and to explore the use of artificial intelligence as a feedback source for staff performing administrative and clerical roles. The authors also underscore the value of the resource-seeking perspective in advancing research on feedback seeking and creating supportive feedback environments in the workplace.

Practical implications
The authors recommend non-clinical staff be intentional and proactive with feedback seeking. The authors also recommend healthcare leaders be clear about the expertise available within and outside their departments and create psychologically safe work environments for feedback seeking from peers and supervisors.

Originality/value
The study contributes to the limited scholarship on non-clinical healthcare professionals and sheds light on non-clinical staff’s feedback-seeking behavior from peers and supervisors.
Job teleworkability and labour outcomes in the time of COVID-19: evidence from Russia
Authors: Kotyrlo Elena 
Published: December 2024

PurposeThis study investigates the effect of teleworkability on labour outcomes across gender, local labour markets, education, marital and parental statuses during COVID-19 in Russia.Design/methodology/approachBased on the Russia Longitudinal Monitoring Survey (RLMS-HSE), three classifications of telework are tested. Telework is associated with (1) work from home, (2) workplace digitalisation and (3) the suitability of professional occupations for telework. The methodology includes a difference-in-differences approach combined with propensity score matching, inverse probability weighted regression adjustment and dose-response function with the generalised propensity score.FindingsWe find a positive effect of teleworkability on working hours for men and employment status for women, especially women with higher education. The effect of teleworkability was more salient in large labour markets, where it manifested in an increase in working hours for both genders. The results indicate that parental status did not remarkably affect the magnitude of the effect of teleworkability for women. However, for fathers, teleworkability was associated with an increase in working hours.Research limitations/implicationsLimited data did not enable an exploration of the effect of teleworkability across industries and professional occupations. We take the use of the Internet for work in 2019 and the suitability of occupation for telework as a measure of teleworkability.Originality/valueThis is the first thorough analysis of the effect of telework on labour outcomes for the Russian economy during the COVID-19 pandemic.
The relationship between natural resource rents and gender discrimination laws: evidence from panel data analysis
Authors: Al Marhubi Fahim 
Published: December 2024

PurposeThis study investigates the impact of hydrocarbon rents on gender discrimination laws and the extent to which democratic institutions and women’s political participation condition this relationship.Design/methodology/approachThis study uses static and dynamic panel estimation including pooled-ordinary least squares, fixed and random effects and system generalized method of moments.FindingsThe results show that countries with higher hydrocarbon rents have higher levels of gender discrimination laws. Furthermore, there is a significant link between hydrocarbon rents and gender discrimination laws regardless of the quality of democratic institutions or strength of women’s political empowerment.Research limitations/implicationsThe index of gender discrimination laws is limited to laws that impact a woman’s access to employment and entrepreneurial activity once a woman enters the labor force and does not take into account implementation of the laws.Practical implicationsPolicymakers should promote output and export diversification and adopt gender-inclusive policies to counter the adverse consequences of gender discrimination laws associated with hydrocarbon resource wealth.Originality/valueWomen’s empowerment is a major issue on the global development agenda, featuring most notably in the United Nations Sustainable Development Goal 5 on achieving women equality and empowerment of women and girls. There is scant evidence about how hydrocarbon rents impact gender discrimination laws, a pervasive obstacle to women’s economic and political empowerment. This paper fills this gap in the literature paper by examining the effect of hydrocarbon rents on gender discrimination laws.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2024-0174
Member’s performance in human–AI hybrid teams: a perspective of adaptability theory
Authors: Chen Aihui , Lyu Anran , Lu Yaobin 
Published: December 2024

PurposeAs human–AI hybrid teams become more common, it is essential for team members to interact effectively with artificial intelligence (AI) to complete tasks successfully. The integration of AI into the team environment alters the cooperative dynamics, prompting inquiry into how the design characteristics of AI impact the working mode and individual performance. Despite the significance of this issue, the effects of AI design on team dynamics and individual performance have yet to be fully explored.Design/methodology/approachDrawing upon coping theory, this study presents a research model aimed at elucidating how the characteristics of AI in human–AI interaction influence human members’ adaptive behavior, subsequently impacting individual performance. Through the creation of experiments that require human–AI collaboration to solve problems, we observe and measure various aspects of AI performance and human adaptation.FindingsWe observe that the explainability of AI enhances the behavioral adaptation of human team members, whereas the usability and intellectuality of AI improve their cognitive adaptation. Additionally, we find that human team members’ affective adaptation is negatively affected by the likability of AI. Our findings demonstrate that both behavioral and cognitive adaptations positively impact individual performance, whereas affective adaptation negatively impacts it.Practical implicationsOur research findings provide recommendations for building efficient human–AI hybrid teams and insights for the design and optimization of AI.Originality/valueOverall, these results offer insights into the adaptive behavior of humans in human–AI interaction and provide recommendations for the establishment of effective human–AI hybrid teams. These findings pioneer an understanding of how design characteristics of AI impact team dynamics and individual performance, establishing a connection between AI attributes and human adaptive behavior.
Born this way: Lady Gaga’s five practices of exemplary leadership
Authors: Cenkci Ada T. 
Published: December 2024

PurposeThis article explores the use of Lady Gaga’s life as a tool in leadership courses to teach the five practices of exemplary leadership. It exemplifies how popular culture artifacts can enhance student understanding of leadership concepts.Design/methodology/approachA discussion post assignment was conducted in an online organizational leadership program course at a Midwest university in the USA. The students analyzed Lady Gaga’s life and leadership through the lens of the five practices model.FindingsAssessment results and student feedback indicate that using Lady Gaga’s life as an example helped students grasp the five practices model.Originality/valueWhile Lady Gaga has been the subject of numerous scholarly works, her leadership style has received little academic attention. To the best of my knowledge, this article is the first to explicitly connect Lady Gaga’s life and leadership with the five practices model.
Answering the call to action: an empirical analysis of SDG performance in global banks
Authors: Barone Marco , Fraccalvieri Ilenia , Cuoccio Mariateresa , Bussoli Candida 
Published: December 2024

Purpose
Following Agenda 2030, the integration of Sustainable Development Goals (SDGs) into banking strategies has become essential for promoting global sustainability and responsible financial practices. This study aims to examine how the financial characteristics of banks influence their efforts towards achieving the SDGs.

Design/methodology/approach
A fixed-effect panel regression is used to analyse a sample of 646 publicly listed banks across 61 countries, observed from 2018 to 2023. The data are sourced from the Refinitiv Eikon database, with the dependent variable pertaining to the SDGs calculated as a composite score.

Findings
Empirical results show that larger and less profitable banks reach better performance in terms of contribution to the SDGs. Instead, the level of leverage does not appear to be a significant influential factor in fostering the support of the SDGs.

Originality/value
Theoretically, this work enriches the academic literature on SDG performance and confirms the relevance of stakeholder theory. Managerially, this study provides valuable insights for banks integrating the SDGs into their business models and for policymakers identifying strategies to encourage sustainable practices.
Environmental sustainability in stadiums: harnessing industry drivers and priorities for improved outcomes
Authors: Francis Annes Elsa , Desha Cheryl , Caldera Savindi , Rundle-Thiele Sharyn 
Published: December 2024

PurposeThis paper aims to identify industry drivers and priorities that influence decision-making towards adopting environmentally sustainable (ES) features in stadiums. An “Environmentally Sustainable Stadium (ESS) Process Model” is proposed to track ES features throughout their life cycle, guiding planning, designing, construction, operation and management.Design/methodology/approachData were collected through 20 online semi-structured interviews with experts from sustainability, built environment, stadium management, mega-event planning and management and researchers. The experts’ project experiences spanned across Oceania, North America, South America, Asia and Europe. The data were recorded and transcribed through Teams and analysed using NVivo 11 application software.FindingsStadium’s ES features predominantly focus on energy, waste and materials management with some emphasis on carbon emission reductions and renewable energy sources. Emerging focus areas include flexible designs, audience (or fans) and community engagement, circular economy principles and integration with nature. Key drivers for adopting ES features include legislation and other sector-based requirements, competitive advantages and stakeholder pressures. ES feature success depends on owner support, budget, partnerships, expertise and opportunities. Major barriers include stakeholder diversity, infrastructure limitations and limited stadium-specific requirements.Practical implicationsThis paper proposes a six-step “ESS Process Model” to support the stadium industry to holistically integrate ES features, from the initial decision-making to the implementation, ongoing improvement and stakeholder engagement. The model helps stakeholders to identify opportunities, navigate challenges and achieve continual improvement.Originality/valueThe ESS process model is a novel approach to integrate ES features in stadiums, through enhancing collaboration among stakeholders and overcoming challenges in choosing, implementing and maintaining ES features.
Is there a link between access to broadband and health outcomes?
Authors: Gawai Vikas , Deller Steven 
Published: December 2024

AbstractThere is significant evidence of the positive effects of broadband expansion on various economic outcomes, including property values and business development, with a growing literature aimed at understanding the effect on health outcomes. We contribute to this later literature exploring the effect of broadband access on underexplored health using U.S. county data. After accounting for spatial dependency within the data we find that broadband availability positively affects health outcomes: as broadband access increase, we see declines in the share of the population with fair or poor health and the number of both physically and mentally unhealthy days. The investment of broadband availability not only impacts the overall economy but also community quality of life as measured by health outcomes.
Users of reimbursed glaucoma medications in Finland in 1986–2023: A nationwide study
Authors: Lehtonen E. , Tuulonen A. , Leinonen S. , Vepsäläinen K. , Uusitalo‐Jarvinen H. 
Published: December 2024

AbstractPurposeThe study evaluates the long‐term trends in the number of patients using reimbursed glaucoma medications in Finland.MethodsReimbursement data of 193 082 new glaucoma patients in 1986–2023 were collected from the registry of Finnish Insurance Institution (Kela). The numbers of new, current and deceased users of reimbursed glaucoma medications in Finland at end of each year were analysed by gender and in different age groups.ResultsThe number of glaucoma reimbursees per total Finnish population increased 2.5‐fold during 37 years. However, in 2015–2023 the data demonstrated an unexpected decelerating trend in the difference between the number of new and deceased users of glaucoma medications (i.e. ‘net change’ in the medication users). In addition, differences in glaucoma medication users between Finland, other Nordic countries and Scotland were detected.ConclusionsThe 37‐year period demonstrates an overall increasing trend in the number of glaucoma medication reimbursees in Finland. However, the slowing growth in the net change during the recent years is to the contrary to what has generally been forecasted in Finland and globally. Future studies, including an updated prediction model, will be required to clarify whether the number of glaucoma patients under treatment will increase, or decrease in Finland in future as well as to figure out the reasons for the variations.
Expression and functional analysis of adipokinetic hormone reveal its different roles in larval development and female fecundity in Panonychus citri (McGregor) (Acari: Tetranychidae)
Authors: Kong Xinyan , Xie Ying , Cao Ying , Li Yujing , Zhang Yujie , Zou Zhiwen , Xia Bin , Xin Tianrong 
Published: December 2024

AbstractAdipokinetic hormone (AKH), a crucial neuropeptide, participates in the important physiological processes by specially binding to its receptor to activate the AKH signalling pathway. AKH regulates energy metabolism. However, it remains unknown whether AKH affects larval development and adult reproduction by influencing energy metabolism. In the present study, the AKH was identified from Panonychus citri and contained the conserved functional domain ‘Q‐[LIV]‐[NT]‐F‐[ST]‐X (2)‐W’ that characterises the AKH family. The relative expression levels of PcAKH revealed different patterns of AKH expression at different developmental stages of P. citri. Feeding of double‐standard RNA against PcAKH induced decreased fecundity and reduced survival, which was accompanied by the down‐regulation of vitellogenin gene expression. In addition, after silencing the PcAKH, lipid metabolism and carbohydrate homeostasis were disrupted, manifested by increased body width and weight, and fasting phenomenon. Further investigation found that compared with the control, physiological changes in trehalose and triglyceride contents were accompanied by variations in the mRNA expression levels of genes related to lipid metabolism and carbohydrate metabolism. The disorder of lipid and carbohydrate metabolism may affect adult female reproduction, which may lead to insufficient vitellogenin deposition. Moreover, the silencing of PcAKH seriously affected the growth and development of larvae, which was manifested as delayed development period and difficulty in moulting. Conclusively, all these results in current study demonstrated that double‐stranded RNA silencing system targeting PcAKH effectively inhibited larval development and female fecundity by disturbing lipid and carbohydrate metabolism, and PcAKH is a specific RNAi target for control of P. citri in the design and development of biopesticide in sustainable agriculture.