bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deep pockets or empty coffers? Functional expenses, contribution revenue and the ability of nonprofits to pivot during COVID-19
Authors: Burke-Kolehmainen Cari , Intindola Melissa 
Published: November 2023

PurposeWithin the context of the nonprofit resiliency framework, the authors use nonprofit functional expenses and contribution revenue to explore how the COVID-19 pandemic affected the ability of nonprofits in different subsectors to carry out their mission, as well as their ability to “pivot” fundraising strategies to integrate social media and digital engagement.Design/methodology/approach The authors use IRS form 990 return data for organizations with a year-end return that includes at least six months of COVID-19 impact (“Wave 1 Effects” period) and also have a prior-year return (“Business as Usual” period). The authors use Wilcoxon signed rank tests to examine whether there are differences in our variables of interest between the two periods.FindingsWhile the majority of nonprofits in most subsectors experienced a significant decrease in program spending, fundraising spending and fundraising efficiency ratios between the two time periods, the authors found variation in the change in contribution revenue and fundraising ratio between the two periods between subsectors. The authors also find that the percentage of nonprofits able to “pivot” their fundraising strategies varies by subsector between 13.33 and 31.23%.Originality/valueThis paper provides new information regarding the pandemic's initial effect on nonprofit program and fundraising spending, the related contribution revenue and the ability of nonprofits to “pivot” fundraising to remote strategies. The authors propose a more robust fundraising efficiency measure and a new measure indicating a nonprofit's “ability to pivot” their fundraising strategy. The authors encourage future researchers to conduct further longitudinal studies to understand how these effects may continue or change.
Digital transformation of the wood construction supply chain through building information modelling: current state of practice
Authors: Gharaibeh Lina , Matarneh Sandra , Eriksson Kristina , Lantz Björn 
Published: November 2023

Purpose
This study aims to present a state-of-the-art review of building information modelling (BIM) in the Swedish construction practice with a focus on wood construction. It focuses on examining the extent, maturity and actual practices of BIM in the Swedish wood construction industry, by analysing practitioners’ perspectives on the current state of BIM and its perceived benefits.

Design/methodology/approach
A qualitative approach was selected, given the study’s exploratory character. Initially, an extensive review was undertaken to examine the current state of BIM utilisation and its associated advantages within the construction industry. Subsequently, empirical data were acquired through semi-structured interviews featuring open-ended questions, aimed at comprehensively assessing the prevailing extent of BIM integration within the Swedish wood construction sector.

Findings
The research concluded that the wood construction industry in Sweden is shifting towards BIM on different levels, where in some cases, the level of implementation is still modest. It should be emphasised that the wood construction industry in Sweden is not realising the full potential of BIM. The industry is still using a combination of BIM and traditional methods, thus, limiting the benefits that full BIM implementation could offer the industry.

Originality/value
This study provided empirical evidence on the current perceptions and state of practice of the Swedish wood construction industry regarding BIM maturity.
Determinants of adopting eCourier services: the moderating role of resistance to change
Authors: Gani Mohammad Osman , Bhuiya Naimul , Swarna Anika Afrin , Alam Muhammad Intisar , Faruq Mohammad Omar 
Published: November 2023

PurposeThe purpose of this paper is to understand the determinants affecting the adoption behavior of eCourier services and to establish a moderating role of resistance to change between behavioral intention and actual usage behavior.Design/methodology/approach Data were collected through a survey questionnaire that was distributed to the eCourier users. A total of 260 collected data were analyzed by using structural equation modeling.Findings The results of the study demonstrate that all the factors considered for the study have a significant impact on the adoption of eCourier except social influence and customer service. The results also confirm that there is no moderating effect of resistance to change in the relationship between behavioral intention and actual usage.Practical implications This research provides theoretical contribution by extending the practical knowledge focusing on the adoption intention of eCourier, and actual usage behavior using Unified Theory of Acceptance and Use of Technology model—a pertinent and unresearched topic in the existing literature that presents a number of potential avenues for further study.Originality/valueThis study provides a general understanding of consumers in underdeveloped nations and advances earlier research on the usage of e-commerce in the courier sector.
Climate change needs behavior change: a team mechanism of team green creative behavior
Authors: Farrukh Muhammad , Rafiq Muhammad , Raza Ali , Ansari Nabeel Younus 
Published: November 2023

Purpose
This study aims to examine the influence of team-level green human resource management practices (TGHRM) on team-level green creative behavior (TGCB) through team green psychological climate (TGPC). Additionally, it delves into the moderating effects of ethical leadership (EL) and green culture (GC) on the relationships among team-level GHRM, TGPC and TGCB.

Design/methodology/approach
Using a cross-sectional design, data were gathered from hotel teams and were analyzed using the PROCESS model.

Findings
The results indicate that TGHRM significantly impacts TGCB via TGPC. Moreover, the study provides partial evidence supporting the moderating roles of EL and GC in the relationships between TGHRM, TGPC and TGCB.

Practical implications
These findings offer valuable insights for managers and practitioners. They highlight the potential to enhance TGCB by implementing GHRM practices, nurturing a TGPC and cultivating both EL and a GC within teams.

Originality/value
This research addresses a gap in the literature, focusing on the effects of TGHRM on TGCB and shedding light on the intertwined social and psychological processes. Further, it broadens the discourse by analyzing the moderating influence of EL and GC in the dynamics between TGHRM, TGPC and TGCB.
Stand-alone or run together: artificial intelligence as an enabler for other technologies
Authors: Kulkov Ignat , Kulkova Julia , Leone Daniele , Rohrbeck René , Menvielle Loick 
Published: November 2023

PurposeThe purpose of this study is to examine the role of artificial intelligence (AI) in transforming the healthcare sector, with a focus on how AI contributes to entrepreneurship and value creation. This study also aims to explore the potential of combining AI with other technologies, such as cloud computing, blockchain, IoMT, additive manufacturing and 5G, in the healthcare industry.Design/methodology/approachExploratory qualitative methodology was chosen to analyze 22 case studies from the USA, EU, Asia and South America. The data source was public and specialized podcast platforms.FindingsThe findings show that combining technologies can create a competitive advantage for technology entrepreneurs and bring about transitions from simple consumer devices to actionable healthcare applications. The results of this research identified three main entrepreneurship areas: 1. Analytics, including staff reduction, patient prediction and decision support; 2. Security, including protection against cyberattacks and detection of atypical cases; 3. Performance optimization, which, in addition to reducing the time and costs of medical procedures, includes staff training, reducing capital costs and working with new markets.Originality/valueThis study demonstrates how AI can be used with other technologies to cocreate value in the healthcare industry. This study provides a conceptual framework, “AI facilitators – AI achievers,” based on the findings and offer several theoretical contributions to academic literature in technology entrepreneurship and technology management and industry recommendations for practical implication.
Dynamic parameter identification based on improved particle swarm optimization and comprehensive excitation trajectory for 6R robotic arm
Authors: Zhong Feifei , Liu Guoping , Lu Zhenyu , Hu Lingyan , Han Yangyang , Xiao Yusong , Zhang Xinrui 
Published: November 2023

Purpose
Robotic arms’ interactions with the external environment are growing more intricate, demanding higher control precision. This study aims to enhance control precision by establishing a dynamic model through the identification of the dynamic parameters of a self-designed robotic arm.

Design/methodology/approach
This study proposes an improved particle swarm optimization (IPSO) method for parameter identification, which comprehensively improves particle initialization diversity, dynamic adjustment of inertia weight, dynamic adjustment of local and global learning factors and global search capabilities. To reduce the number of particles and improve identification accuracy, a step-by-step dynamic parameter identification method was also proposed. Simultaneously, to fully unleash the dynamic characteristics of a robotic arm, and satisfy boundary conditions, a combination of high-order differentiable natural exponential functions and traditional Fourier series is used to develop an excitation trajectory. Finally, an arbitrary verification trajectory was planned using the IPSO to verify the accuracy of the dynamical parameter identification.

Findings
Experiments conducted on a self-designed robotic arm validate the proposed parameter identification method. By comparing it with IPSO1, IPSO2, IPSOd and least-square algorithms using the criteria of torque error and root mean square for each joint, the superiority of the IPSO algorithm in parameter identification becomes evident. In this case, the dynamic parameter results of each link are significantly improved.

Originality/value
A new parameter identification model was proposed and validated. Based on the experimental results, the stability of the identification results was improved, providing more accurate parameter identification for further applications.
Do green servicescape and perceived quality determine consumerism and its consequences?
Authors: Asghar Awes , Asif Ruba , Akhtar Naeem , Islam Tahir 
Published: November 2023

PurposeHotel servicescapes have been extensively examined in the literature; however, there has been less attention on green servicescapes that attract consumers to visit green hotels. This model explores the relationship among green servicescapes – green items, green surfaces, natural environment, green consumerism and their outcomes, including intentions to return and green evangelism with a moderating role of green perceived quality.Design/methodology/approachThe multi-wave method was utilized to gather data from China's major cities, Beijing and Shanghai. A total of 462 responses were received over three waves. Subsequently, the data were analyzed employing structural equation modeling (SEM) in Smart PLS 4.FindingsThe findings indicated that green servicescape – green items, green surfaces and natural environment – have a positive impact on green consumerism. The authors have discovered that green consumerism leads to positive intentions among consumers to return and engage in green evangelism. Green perceived quality significantly moderated the relationship between green servicescape and green consumerism.Research limitations/implicationsThe study offers insightful contributions to academia and managerial fields, encompassing consumer psychology, consumer behaviour, the stimulus-organism-response (SOR) framework and servicescapes. Additionally, it assists hotel managers in addressing challenges stemming from the competitive environment and creating a more environmentally friendly atmosphere.Originality/valueThe research focused on the innovative reflective model of green consumerism model and adopted a pioneering approach to examine green servicescapes within the hotel industry. This study enhances understanding of consumer intentions to return and the influence of green consumerism on green evangelism, while also quantifying the significance of green perceived quality.
“Self-compassion and life satisfaction in Vietnamese adolescents: the mediating role of emotional and behavioral problems”
Authors: Nguyen Vinh Tuan , Nguyen Cat Tuong Phuoc 
Published: November 2023

Purpose
The current study aims to examine the relationship between self-compassion and life satisfaction in Vietnamese adolescents and investigate the possibility that emotional and behavioural problems mediate this relationship.

Design/methodology/approach
Quantitative means of data collection and analysis were used to investigate the relationship between self-compassion and life satisfaction and the underlying mechanism of this relationship. A set of questionnaires was presented to a sample of 828 adolescents (M age = 14.61; SD = 1.08) aged 14–17 years from two secondary schools and two high schools in Thua Thien Hue Province, Vietnam. This helped to determine their self-compassion (self-compassion scale), emotional and behavioural problems (strengths and difficulties questionnaire) and life satisfaction (life satisfaction scale). Instruments reflected satisfactory reliability and validity.

Findings
The results show that self-warmth was positively associated with life satisfaction and that self-coldness was positively associated with emotional and behavioural problems and negatively associated with life satisfaction in Vietnamese adolescents. Emotional and behavioural problems fully mediated the negative relationship between self-coldness and life satisfaction.

Practical implications
It is implied that intervention programmes should be tailored to both promote self-compassionate behaviours and reduce self-coldness, to increase life satisfaction in adolescents.

Originality/value
The research available on the relationship between self-compassion and life satisfaction in adolescents, especially adolescents from Southeast Asia, is very sparse. More significantly, the underlying mechanisms behind this relationship are not yet fully understood.
Emphasizing the professional in PDS
Authors: Skinner Elizabeth A. 
Published: November 2023

PurposeThis article describes an effort to ease the tension between boundary spanning roles for interns participating in a yearlong Professional Development School (PDS) program. In order to do this, the structure of a Social Studies Methods course was revised to mimic a professional learning community (PLC) and assignments were not evaluated for grades.Design/methodology/approachA conceptual paper that relies on self-reflection as well as student reaction, work samples and survey data.FindingsThe findings demonstrate both practices contribute to a collegial and less stressful environment for interns, while not affecting the quality of work submitted.Originality/valueThis paper highlights two of the nine NAPDS essentials, Professional Learning and Leading (3) and Boundary Spanning (8), and describes the ways both are incorporated and addressed in a PDS situated methods course. Describing course revisions, including the implementation of an ungrading practice, provides examples for potential replication.
Predictive modeling for online in-plane shape deviation inspection and compensation of additive manufacturing
Authors: Wang Hao , Al Shraida Hamzeh , Jin Yu 
Published: November 2023

Purpose
Limited geometric accuracy is one of the major challenges that hinder the wider application of additive manufacturing (AM). This paper aims to predict in-plane shape deviation for online inspection and compensation to prevent error accumulation and improve shape fidelity in AM.

Design/methodology/approach
A sequence-to-sequence model with an attention mechanism (Seq2Seq+Attention) is proposed and implemented to predict subsequent layers or the occluded toolpath deviations after the multiresolution alignment. A shape compensation plan can be performed for the large deviation predicted.

Findings
The proposed Seq2Seq+Attention model is able to provide consistent prediction accuracy. The compensation plan proposed based on the predicted deviation can significantly improve the printing fidelity for those layers detected with large deviations.

Practical implications
Based on the experiments conducted on the knee joint samples, the proposed method outperforms the other three machine learning methods for both subsequent layer and occluded toolpath deviation prediction.

Originality/value
This work fills a research gap for predicting in-plane deviation not only for subsequent layers but also for occluded paths due to the missing scanning measurements. It is also combined with the multiresolution alignment and change point detection to determine the necessity of a compensation plan with updated G-code.
Research trends in industry 5.0 and its application in the construction industry
Authors: Tunji-Olayeni Patience , Aigbavboa Clinton , Oke Ayodeji , Chukwu Nissi 
Published: November 2023

PurposeIndustry 5.0 provides significant social, environmental and economic benefits over previous industrial revolutions. However, research in the field of industry 5.0 is still at a very nascent stage. Little is known about research trends in the field and its applications in specific sectors as construction which have relatively low sustainability index. Hence, this study aims to explore research trends in industry 5.0 and its applications in the construction industry.Design/methodology/approachThe study adopted a bibliometric analysis with the use of the vosviewer. The main search words used in the study were “Industry 5.0”, “Society 5.0” AND “Fifth Industrial Revolution”. Initial extracted papers with these keywords were 1036. After refining based on language, document type, key words and timeframe, a total of 188 papers were found suitable for the analysis.FindingsThe most impactful research on Industry 5.0 to date was from the United States, Australia and Sweden while the journal sustainability was found to be the highest document source on Industry 5.0. The application areas of industry 5.0 in the construction industry include health and safety, collaborative working, waste management, measurement of environmental features (indoor air quality, atmospheric pressure, noise, humidity and temperature) and forecasting of environmental, social or financial outcomes.Research limitations/implicationsThe study used review based papers which form the bulk of the existing research on industry 5.0. This limits understanding of the practical applications, benefits and challenges associated with the use of industry 5.0.Originality/valueThis work contributes to the theory and practice of industry 5.0 by providing baseline data for future research directions on industry 5.0. The work specifically highlights the application areas of industry 5.0 in the construction industry and also indicates the need for questionnaire, interviews or case study based research to enhance understanding of the practical applications of industry 5.0.
Impact of word‐to‐text integration processes on reading comprehension development in English as a second language
Authors: Mulder Evelien , van de Ven Marco , Segers Eliane , Krepel Alexander , de Bree Elise H. , de Jong Peter F. , Verhoeven Ludo 
Published: November 2023

BackgroundWord‐to‐text integration (WTI) can be challenging for second‐language (L2) learners, although it can positively contribute to reading comprehension. The present study examined the role of WTI, after controlling for decoding, vocabulary and morphosyntactic awareness, in predicting English as an L2 reading comprehension development in 441 Dutch seventh‐grade students.MethodsAt the beginning (Time 1 [T1]) and the end (Time 2 [T2]) of the school year, students were tested on their English decoding, vocabulary, morphological and syntactic awareness and reading comprehension with paper‐and‐pencil tasks and on WTI with a self‐paced reading task with reading times being compared on passages with unknown versus known words and passages with and without anomalies.ResultsMediation analyses showed small indirect effects of processing argument overlap and anomalies on T2 reading comprehension, via T1 reading comprehension.ConclusionsWTI explained unique variance in reading comprehension at T2 via reading comprehension at T1, suggesting that it moderately impacts initial stages of reading comprehension in English as a second language (ESL).
Why is Russia Restricting its Fertiliser and Crop Exports?
Authors: Liefert William 
Published: November 2023

SummaryBoth Russia and Ukraine are major agricultural exporters, especially of grain and sunflowerseed products, and Russia is the world's leading supplier of fertiliser. Russia's invasion of Ukraine has disrupted world markets for these commodities, driving up prices and threatening world food security. Russia argues that a major cause of this trade disturbance is the economic sanctions that Western countries have imposed against it, despite the efforts of the West to exempt Russian agricultural trade from the sanctions. However, throughout its war with Ukraine, Russia has maintained heavy restrictions (involving quotas and taxes) on its exports of fertiliser, grain and sunflowerseed commodities. The trade controls bring major economic benefits to the Russian economy and government, especially in the current war environment. The gains include: keeping more output within the country, which lowers prices for consumers; earning the government additional revenue; and improving the country's terms of trade in the exported products. However, given that Russia so strongly asserts that Western sanctions are hurting the less rich countries of the world by disrupting world agricultural markets and pushing up prices, the export restrictions make Russia vulnerable to criticism of inconsistency (if not hypocrisy), when its own export controls have the same effects.
Antibiotic use for airway infections in Norwegian children—A national register‐based study
Authors: Rydland Eva , Høye Sigurd , Størdal Ketil 
Published: November 2023

AbstractAimRespiratory tract infections (RTIs) are major contributors to childhood antibiotic use. We aimed to investigate geographical and temporal trends in the prescription of antibiotics and consultations for RTIs in children <18 years living in Norway from 2010 to 2017.MethodsIn a nationwide observational study, we analysed antibiotic prescriptions from the Norwegian Prescription Database and reimbursed contacts from primary care physicians. We limited the study to airway antibiotics and diagnostic codes indicating RTIs.ResultsAntibiotic prescriptions due to an RTI varied from 75 to 134 per 1000 consultation due to RTI across counties in Norway (relative risk 1.79, 95% CI 1.68–1.90 for highest compared to lowest). The use of health care varied from 414 to 585 consultations for RTI per 1000 inhabitant/year (relative risk 1.43, 95% CI 1.41–1.44 for highest compared to lowest). From 2010 to 2017, we observed a 21% reduction in antibiotic prescriptions per RTI consultation and of 6% for the number of consultations for an RTI. At the county level, the use of health care was positively associated with the proportion of RTIs that resulted in antibiotic prescription.ConclusionWe found a reduction in doctors' antibiotic prescription and the use of health care for RTIs, and a variation across counties.