bluuebunny/crossref_metadata_2025_split huggingface dataset:
Causes of occupational stress and burnout amongst administrative staff in public universities: case of Pakistan
Authors: Noor Shaista , Aslam Ambreen , Md Isa Filzah 
Published: July 2024

PurposeThe primary aim of this study is to delve into the causes of occupational stress and burnout amongst administrative staff members in Pakistani universities. It does so by employing a qualitative research strategy, offering a comprehensive understanding of the issue.Design/methodology/approachThis study uses a qualitative research strategy to examine the causes of occupational stress and burnout amongst administrative staff members in Pakistani universities. Around 20 semi-structured interviews were conducted via Teams with administrative employees in renowned universities in Rawalpindi, Islamabad and the Lahore region of Pakistan. Saldana's (2014) structured inductive data analysis method was used to analyse the collected data.FindingsThe study sheds light on the harsh realities faced by university administrative staff in Pakistani universities. These include top management ineffectiveness, role ambiguity, role conflict, favouritism, inequality, a communication gap with higher authorities, disparity of rewards and recognition, no career paths and opportunities, feeble leadership, corruption, inappropriate use of power, mishandling of qualified staff and non-acceptance of shifting roles from administration to academia. These are not just academic concepts but real-life challenges that demand immediate attention.Originality/valueThe study's findings have significant implications for Pakistan's Ministry of Education. Based on these findings, the recommendations proposed can serve as a roadmap for enhancing interpersonal development, implementing career development programmes, succession planning and supporting university administrative staff. These initiatives can lay the groundwork for achieving the UN Sustainable Development Goal-4 targets, making this research a valuable resource for policymakers.
“Intellectual accidents in a critical perspective: the challenges of stuttering lecturers using digital technology in distance learning”
Authors: Rosa Silvia , Bahri Susila , Suryani Nilma , Yustina Luli Sari 
Published: July 2024

PurposeThis study investigates lecturers’ challenges in guiding students’ final scientific work online during the COVID-19 pandemic. It explores the impact of lecturers’ digital technology proficiency on the students’ ability to compile their thoughts and produce scientific work independently.Design/methodology/approachThe study involved 45 lecturers and 140 students. Data was collected through online surveys using the Google Forms application and focus group discussions. The data were analysed qualitatively and interpretively based on the surveys and interviews.FindingsThe findings reveal three modes of mentoring: online, mixed, and offline. Many lecturers’ reluctance to use digital technology for mentoring stems from their lack of proficiency, resulting in mixed mentoring methods. This digital inadequacy affects students’ ability to write scientific work independently, as they are not accustomed to self-directed learning. The pandemic has necessitated more independent work from students, with limited physical guidance from lecturers, leading to a decline in the quality of scientific writing.Originality/valueThis paper contains the latest information related to students' scientific writing activities. Student scientific writing activities are disrupted because supervisors do not have the skills to use technology in the remote student mentoring process. Lecturers are not skilled at using technology in carrying out online tutoring assignments.
“We have to fight for our existence in the system”: exploring service providers’ experiences with male victims and female perpetrators of intimate partner violence
Authors: Pisano Giulia , Widanaralalage B. Kennath , Willmott Dominic 
Published: July 2024

Purpose
This study aims to investigate the experiences of service providers supporting male victims and female perpetrators of intimate partner violence (IPV). The study explored the drivers, methods and treatments of female-perpetrated IPV, the nature and impact of abuse towards male victims, the barriers and facilitators to service provision and the impact on the practitioners themselves.

Design/methodology/approach
The study used a qualitative approach, using reflexive thematic analysis to analyse semi-structured interviews with 13 experienced service providers.

Findings
Two overarching themes were identified: systemic issues in service provision, including challenges with multi-agency approaches, funding and availability of services and the impact on practitioners; and gender stereotypes, which created barriers to male victims' help-seeking and influenced the treatment of female perpetrators.

Practical implications
The findings suggest the need for a multi-level approach, addressing gendered inequalities in IPV policy and funding, implementing gender-inclusive, evidence-based and trauma-informed practices, and raising public and professional awareness to challenge the dominant “domestic violence stereotype”.

Originality/value
This study provides a detailed, in-depth exploration of the experiences of service providers supporting “non-typical” populations in IPV, revealing the complex, multi-faceted challenges they face within a system that is inherently designed to support female victims of male perpetrators.
Effects of Israel-Iran conflict: insights on global stock indices and currencies
Authors: Pandey Dharen Kumar 
Published: July 2024

PurposeThis study examines the immediate impact of the Israel-Iran conflict on global stock markets and currency pairs, focusing on how these effects vary by market maturity and geographic region.Design/methodology/approachThis study uses the event study method to examine the immediate effect of the Israel-Iran conflict. It uses the market model across a 252-day estimation window through −257, −6 trading days and an 11-day event window through −5, +5 trading days. The primary sample includes 73 stock market indices, 7 EURO currency pairs, 14 USD currency pairs, 6 GBP currency pairs, and 7 JPY currency pairs.FindingsThe findings suggest that (1) the global stock markets are adversely affected by the Israel-Iran conflict, (2) the JPY, GBP, and EURO currency pairs are least affected, (3) the USD currency pairs exhibit positive abnormal returns suggesting flight to safety, (4) the frontier and standalone markets experience most adverse effects, followed by developed and emerging markets, (5) the pan-American stock markets experience more pronounced effects of the conflict, followed by the Europe, Middle East, and African stock markets and the Asia Pacific stock markets.Research limitations/implicationsThe findings advise investors to manage risk during geopolitical uncertainty through diversification and hedging. Policymakers should monitor developments and enact responsive measures. Market participants can capitalize on insights for strategic investment.Originality/valueThe study contributes to the extant war literature by exploring the impact of the Israel-Iran conflict on global stock markets and currency pairs. This study serves as the first to examine the effects of the escalating conflict due to Iran’s attack on Israel.
Green synergy: unveiling the nexus of green supply chain practices, training and innovation for sustainable manufacturing
Authors: Javed Asma , Li Qian , Ejaz Sarmad , Basit Abdul , Hasan Shermeen , Zita Júlia Fodor , Hossain Md Billal 
Published: July 2024

PurposeDue to extensive industrial activities, the manufacturing sector is deteriorating the environment through resource depletion and rising pollution levels which led to a significant transition toward green supply chain practices (GSCP). Therefore, internal and external GSCP and green training (GT) gaining momentous attention. This study aims to explore the interconnections among the internal and external GSCP, GT, green innovation (GI), pro-environmental behavior (PEB), competitive advantage (CA), green knowledge sharing (GKS), green self-efficacy (GSE), environmental and financial performance (EP) and (FP).Design/methodology/approachTo check the hypothesized model, researchers used cross-sectional data based on survey questionnaires which were gathered from Pakistani manufacturing firms. The theoretical framework was validated through the utilization of partial least square structural equation modeling.FindingsThe findings suggest that internal and external GSCP and GT are correlated with GI, PEB, CA, EP and FP. Additionally, this study discovers that PEB and GI act as intermediaries among internal and external GSCP, GT and CA. GKS positively moderates the connection among internal and external GSCP, and GT, GI, and PEB. Similarly, GSE also serves as a moderator among between PEB and GI.Research limitations/implicationsThis study is a significant contribution to the literature by studying potential mediators and moderators that improve the association among outlined constructs. Moreover, findings suggest that firms should adopt an integrated and holistic green approach to combat environmental deterioration, maintain environmental integrity and attain sustainable development.Originality/valueThere is a scarcity of studies concerning the holistic framework of interrelated constructs studied in this research and it is the pioneer research to offer insights with an innovative model and empirical evidence.
Restoration of a wet corrosion-resistant composite filament for material extrusion process
Authors: Bove Alessandro , Lieske Fulvio , Calignano Flaviana , Iuliano Luca 
Published: July 2024

Purpose
Material extrusion (MEX) is one of the most known techniques in the additive manufacturing (AM) sector to produce components with a wide range of polymeric and composite materials. Moisture causes alterations in material properties and for filaments strongly hygroscopic like nylon-based composites this means greater ease of deterioration. Drying the filament to reduce the moisture content may not be sufficient if the humidity is not controlled during printing. The purpose of this study is to achieve the recovery of a commercial nylon-based composite filament by applying process optimization using an open source MEX machine.

Design/methodology/approach
A statistical approach based on Taguchi’s method allowed to achieve an ultimate tensile strength (UTS). A verification of the geometrical capabilities of the process has been performed according to the standard ISO/ASTM 52902-2019. Chemical tests were also carried out to test the resistance to corrosion in acid and basic solutions.

Findings
An UTS of 71.37 MPa was obtained, significantly higher than the value declared by the filament’s manufacturer (Stratasys Inc., USA). The best configuration of process parameters leads to good geometrical deviations for flat surfaces, in a range of 0.01 and 0.38 for flatness, while cylindrical faces showed more important deviations from the nominal values. The good applicability of the material in corrosive environments has been confirmed.

Originality/value
This study examined the performance restoration potential of a nylon composite filament that was significantly affected by storage conditions. For the filament manufacturer, if the material remains in ambient air for an hour or idle in the machine for more than 24 h, the material may no longer be suitable for printing. The study highlighted that the drying of the filament must not be temporary but constant to guarantee printability, and, by acting on the process parameters, it is possible to obtain better mechanical properties than declared by the manufacturer.
Nudge or mandate: an exploration into the constraints of volumetric modular construction in Australia
Authors: Khan Ayaz Ahmad , Yu Rongrong , Liu Tingting , Gu Ning , Walsh James , Mohandes Saeed Reza 
Published: July 2024

PurposeTo incentivize innovation, support competitiveness, lower skill scarcities, and alleviate the housing affordability difficulty, proponents underscore the pertinence of embracing contemporary construction methodologies, with particular emphasis on volumetric modular construction (VMC) as a sustainable paradigm for production and consumption. However, construction industry stakeholders in Australia have encountered profound challenges in adopting VMC, as its adoption remains significantly low. Therefore, this study investigated the constraints that hinder VMC in the Australian construction industry.Design/methodology/approachThe study used qualitative methodology using semi-structured interviews as a core approach to glean professional experts' perspectives and insights, along with Pareto and mean index score analyses.FindingsThe study identified 77 reported and validated VMC constraints by professionals, categorizing them into eight categories: cultural, economic, knowledge, market, regulatory, stakeholder, supply chain, and technological. The mean index score analysis reveals stakeholder (µ = 9.67) constraints are the most significant, followed by cultural (µ = 9.62) and regulatory (µ = 9.11) constraints. Pareto analysis revealed 25 of the 77 constraints as ‘vital few” among different categories. This study presented causal relationships and mitigation strategies for VMC constraints, followed by an argument on whether VMC adoption in Australia requires a nudge or mandate.Practical implicationsThis study offers guidance for efficient resource allocation, aiding management and government policy formulation. It's also valuable for global audiences, especially countries transitioning to modular construction.Originality/valueThis is one of the first studies to identify VMC constraints and delineate them into different categories in Australia, identify their causal interrelationships, and deliver countermeasures to overcome them.
Understanding cryptocurrency investment behaviour in Jordan: an examination of motivational drivers through the lens of the UTAUT2 model
Authors: Alzyoud Sultan , Alshurafat Hashem , Khatatbeh Ibrahim N. 
Published: July 2024

Purpose
This study aims to explore the factors affecting investment behaviour in cryptocurrencies among Jordanian investors. Specifically, it aims to assess how various motivational and behavioural drivers impact the intention to use cryptocurrencies, grounded in the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework. The choice of Jordan as the research context is particularly relevant due to the lack of adequate regulations on cryptocurrency investment.

Design/methodology/approach
This study uses a quantitative research approach, using an online survey as the primary method for data collection. The final data set consists of 285 responses collected through a self-administered questionnaire to cryptocurrency users in Jordan. Next, structural equation modelling (SEM) was used to test the developed theoretical framework based on the UTAUT2 model.

Findings
The findings reveal that performance expectancy, trust, hedonic motivation and price value significantly enhance the intention to invest in cryptocurrencies, with performance expectancy acting as a mediator. Effort expectancy is not directly related to behavioural intention; however, it positively impacts performance expectancy, validating the mediation hypothesis. Trust affects both the intention to use and the performance expectancy, reinforcing its role as a mediator in cryptocurrency adoption. Hedonic motivation and price value also positively affect the intention to use cryptocurrency. In contrast, social influence and facilitating conditions do not significantly impact behavioural intention, suggesting that cryptocurrency adoption decisions are less influenced by external opinions or the availability of necessary conditions. The findings also show that the demographic profiles of the cryptocurrency users were young, educated males, which suggests a demographic skew in cryptocurrency usage in Jordan.

Originality/value
This study innovatively adapts the UTAUT2 model, focusing on the mediating role of performance expectancy between effort expectancy, trust, and behavioural intention. This study pioneers by examining the mediation effect of performance expectancy, showing how users' ease in using cryptocurrencies positively affects their belief in positive outcomes, subsequently influencing their behavioural intention to use cryptocurrencies. Moreover, this study sheds light on the factors driving cryptocurrency adoption in developing countries like Jordan. It also underscores the demographic trends in cryptocurrency use and proposes targeted recommendations for policymakers and cryptocurrency platforms to foster more inclusive and informed investment environments.
A novel framework for understanding the interplay between the mobile wallet service quality dimensions and loyalty intention
Authors: Kapoor Ashwarya , Sindwani Rajiv , Goel Manisha 
Published: July 2024

PurposeIs there any symmetric or asymmetric connection between mobile wallet service quality (MWSQ) dimensions and loyalty intention? Are there any factors that intervene in the relationship between MWSQ and loyalty intention? To answer these questions, the present study explored dimensions of MWSQ and proposed a novel framework to comprehend symmetric and asymmetric relationship between MWSQ dimensions and loyalty intention.Design/methodology/approachThe study used data from 422 m-wallet users. Structural equation modeling (SEM) was used to investigate the impact of MWSQ dimensions (reliability, security, responsiveness, practicity and design) on loyalty intention. Furthermore, fuzzy sets qualitative comparative analysis (fsQCA) has also been applied to understand the complex, non-linear and synergistic effects of MWSQ dimensions on brand loyalty that SEM failed to reveal.FindingsUsing structural equation modeling (SEM) and fuzzy sets qualitative comparative analysis (fsQCA), current study revealed three major findings. First, except for practicity and design, results revealed a significant positive impact of MWSQ dimensions (reliability, security and responsiveness) on loyalty intention. Second, the study found that association between MWSQ dimensions (reliability, security and responsiveness) and loyalty intention was partially mediated by two parallel mediators namely brand image and brand satisfaction. Third, fsQCA uncovered asymmetric, synergistic and non-linear effects of MWSQ dimensions on loyalty intention that SEM failed to reveal. It revealed six sufficient conditions for determining low and high loyalty intention. Predictive validity has been also tested to determine accuracy of fsQCA results.Practical implicationsFor practitioners, the proposed model is helpful as it will facilitate them in taking an edge over competitors by emphasising on key MWSQ dimensions. It will enable them to frame effective strategies for increasing market share and customer retention.Originality/valueIt is among the pioneer studies which explored the service quality dimensions of m-wallet, and used combination of both quantitative and qualitative techniques to propose an integrated framework for m-wallet service quality.
Effects of CO2 elevation on life‐history traits of two insecticide‐resistant strains of planthopper Nilaparvata lugens on rice
Authors: Li Hongran , Wu Shanshan , Liu Jing , Chen Yong , Meng Ling , Li Baoping 
Published: July 2024

AbstractWe made separate experiments to examine life‐history traits and activities of protective enzymes as affected by carbon dioxide (CO2) elevation to 780 μL/L as compared to 390 μL/L in imidacloprid‐ or buprofezin‐resistant strains of the brown planthopper (BPH) Nilaparvata lugens. We found an interaction effect between resistance and the CO2 level on the nymphal survival and duration in both resistant strains. Nymphal durations in both resistant strains were much shorter in the resistant than susceptible BPH at 780 μL/L but similar between them or slightly shorter in the resistant than susceptible BPH at 390 μL/L. Nymphal survival was lower for imidacloprid‐resistant than its susceptible BPH at 390 μL/L but higher at 780 μL/L; it stayed unaffected by the CO2 elevation in buprofezin‐resistant BPH. We did not observe an interaction effect between resistance and the CO2 level on major reproductive parameters in both resistant strains. But the 2 strains were not consistent across CO2 levels in all parameters. Our measurements of protective enzyme activities of superoxide dismutase, catalase, and peroxidase showed an interaction between resistance and the CO2 level. Overall, these enzymes became similar in activity between resistant and susceptible BPH at 780 μL/L compared to 390 μL/L and the change was more distinct in the imidacloprid‐ than buprofezin‐resistant BPH strains. Our findings suggest that CO2 elevation can affect life‐history traits of insecticide‐resistant BPH, while the effect may vary depending on the kind of insecticides it is resistant to.
Machine learning‐based prediction of vancomycin concentration after abdominal administration in patients with peritoneal dialysis‐related peritonitis
Authors: Lv Bo , Liu Wenxiu , Lu Ying , Wang Zhi , Shi Aiming 
Published: July 2024

AbstractIntroductionPeritonitis is a serious complication of peritoneal dialysis (PD), in which insufficient control of antibacterial drug concentrations poses a significant risk for poor outcomes. Predicting antibacterial drug concentrations is crucial in clinical practice. The limitations imposed by compartment models have presented a considerable challenge.MethodsIn this study, we employed machine learning as model‐free methods to circumvent the constraints of compartment models. We collected data from 68 observations from 38 patients with peritoneal dialysis‐related peritonitis who were treated with vancomycin from the EHR system. This data included information about drug administration, demographic details, and experimental indicators as predictors. We constructed models using Genetic Adaptive Supporting Vector Regression (GA‐SVR), KNN‐regression, GBM, XGBoost, and a stacking ensemble model. Additionally, we used RMSE loss and partial‐dependence profiles to elucidate the effects of these predictors.ResultsGA‐SVAR outperformed other large‐scale models. In 10‐fold cross‐validation, the RMSE ratio and R‐squared values for direct concentration prediction were 23.5% and 0.633, respectively. The ROC AUC for predicting concentrations below 15 and exceeding 20 μg/mL were 0.890 and 0.948, respectively. Notably, the most influential predictors included times of drug administration and weight. These predictors were also influenced by residual kidney function.ConclusionTo assist in controlling vancomycin concentrations for patients with PD‐related peritonitis in clinical practice, we developed GA‐SVR and a corresponding explainer model. Our study improves the controlling of vancomycin in clinical settings by enhancing our understanding of vancomycin concentration in patients with PD‐related peritonitis.