bluuebunny/crossref_metadata_2025_split huggingface dataset:
Recognize and thrive: predicting employees’ satisfaction towards fairness in reward and recognition system using explainable machine learning and text mining
Authors: Trivedi Shrawan Kumar , Srivastava Jaya , Patra Pradipta , Singh Shefali , Jena Debashish 
Published: August 2024

PurposeIn current era, retaining the best-performing employees has become essential for businesses to compete in the dynamic technological landscape. Consequently, organizations must ensure that their star performers believe that company’s reward and recognition (R&R) system is fair and equal. This study aims to use an explainable machine learning (eXML) model to develop a prediction algorithm for employee satisfaction with the fairness of R&R systems.Design/methodology/approachThe current study uses state-of-the-art machine learning models such as Naive Bayes, Decision Tree C5.0, Random Forest and support vector machine-RBF to predict employee satisfaction towards fairness in R&R. The primary data used in the study has been collected from the employees of a large public sector undertaking from an emerging economy. This study also proposes a novel improved Naïve Bayes (INB) algorithm, the efficiency of which is compared with the state-of-the-art algorithms.FindingsIt is seen that the proposed INB model outperforms the state-of-the-art algorithms in many scenarios. Further, the proposed model and feature interaction are explained using the explainable machine learning (XML) concept. In addition, this study incorporates text mining techniques to corroborate the results from XML and suggests that “Transparency”, “Recognition”, “Unbiasedness”, “Appreciation” and “Timeliness in reward” are the most important features that impact employee satisfaction.Originality/valueTo the best of the authors’ knowledge, this is one of the first studies to use INB algorithm and mixed method research (text mining along with machine learning algorithms) for the prediction of employee satisfaction with respect to the R&R system.
Exploring the determinants of housing price bubbles in the Turkish economy: a COVID-related framework
Authors: Doruk Ömer Tuğsal 
Published: August 2024

PurposeThis study aims to explore a novel framework for housing price bubbles in the Turkish economy during the pandemic. It examines the probability of housing bubble formation relative to the pre-pandemic period and identifies possible determinants of housing bubbles in the Turkish economy.Design/methodology/approachIn this study, a two-stage novel estimation method is applied. In the first stage, bubble periods are identified through the right-tailed supremum augmented Dickey–Fuller test. In the second stage, the determinants of these bubbles are identified, and the housing bubble determinants during the COVID-19 pandemic are compared to the pre-pandemic period.FindingsThe findings indicate that there is an asset price bubble in the housing market during the pandemic period. Furthermore, mortgage credit expansion, mortgage credit rates and the depreciation of the Turkish Lira against the USD could increase housing bubble formation. However, housing sector sales to foreign investors do not contribute to housing bubble formation during the pandemic in the Turkish housing market.Originality/valueTo the best of the author’s knowledge, this is the first study to address the relative determinants of housing bubbles in an emerging market context during the pandemic.
Clinical decision support in Tanzanian healthcare facilities: an activity theory approach to analysing tools and procedures for enhanced patient care
Authors: Mwogosi Augustino , Mambile Cesilia 
Published: August 2024

PurposeThe study aims to explore the utilisation of Clinical Decision Support (CDS) tools in Tanzanian healthcare facilities by identifying the tools used, the challenges encountered and the adaptive strategies employed by healthcare practitioners. It utilises an Activity Theory (AT) approach to understand the dynamic interactions between healthcare providers, CDS tools and the broader healthcare system.Design/methodology/approachThe research adopts a qualitative approach in two prominent regions of Tanzania, Dar es Salaam and Dodoma. It involves semi-structured interviews with 26 healthcare professionals and key stakeholders across ten healthcare facilities, supplemented by document reviews. The study employs AT to analyse the interactions between healthcare professionals, CDS tools and the broader healthcare system, identifying best practices and providing recommendations for optimising the use of CDS tools.FindingsThe study reveals that Tanzanian healthcare practitioners predominantly rely on non-computerised CDS tools, such as clinical guidelines prepared by the Ministry of Health. Despite the availability of Health Information Systems (HIS), these systems often lack comprehensive decision-support functionalities, leading practitioners to depend on traditional methods and their professional judgement. Significant challenges include limited accessibility to updated clinical guidelines, unreliable infrastructure and inadequate training. Adaptive strategies identified include using non-standardised tools like Medscape, professional judgement and reliance on past experiences and colleagues’ opinions.Research limitations/implicationsThe investigation was constrained by access limitations because it was challenging to get some respondents to share information. However, a sufficient number of individuals participated in the interviews, and their knowledge was very beneficial in understanding the procedures and tools for clinical decision support.Originality/valueThis study contributes to AT by extending its application to a low-resource healthcare setting, uncovering new dimensions of the theory related to socio-cultural and technological constraints in healthcare facilities in Tanzania. It provides valuable insights into the practical barriers and facilitators of HIS and CDS tool implementation in developing countries, emphasising the need for context-specific adaptations, robust training programs and user-centred designs. The findings highlight the resilience and imagination of healthcare practitioners in adapting to systemic limitations, offering recommendations to enhance clinical decision-making and improve patient care outcomes in Tanzania.
Designing sport and physical activity interventions for children and adolescents with ADHD: a conceptual framework
Authors: Meggs Jennifer 
Published: August 2024

Purpose
This paper aims to present a theoretical framework and underpinning evidence to support researchers and practitioners to systematically design sport and exercise interventions.

Design/methodology/approach
The framework highlights the theoretical underpinnings and practical feasibility considerations that are important when designing sport and exercise interventions for children and adolescents with attention deficit hyperactivity disorder (ADHD).

Findings
Future research may wish to apply and evaluate the utility of this framework and research and practice and make recommendations for further refinement.

Originality/value
The quality and strength of conclusions from this body of research has been undermined by a lack of methodological quality and clarity in these studies. One criticism has been the lack of an evidence based, transparent and consistent approach to the design of physical activity and sport interventions and selection of outcome measures. This paper will facilitate the transparent and evidence-based decision-making to guide the design of sport/physical activity interventions for children/adolescents with ADHD.
Tourism routes development: critical success factors
Authors: Pedrosa André , Martins Filomena , Breda Zélia , Lois González Rubén , Costa António Pedro 
Published: August 2024

Purpose
This study aims to identify Critical Success Factors (CSFs) for tourism route development and proposes a tailored conceptual model. It addresses a comprehensive range of tourism routes, considering their respective goals and performance.

Design/methodology/approach
The authors applied a qualitative approach to investigate five tourism routes, interviewing 31 current and former members and examining secondary data from organisational documents. A conceptual model was developed through content analysis of transcripts and secondary data.

Findings
Based on the identified CSFs, the model is organised into six components: Product, Goals, Resources, Governance, Activities and Performance assessment.

Research limitations/implications
The study analyses various tourism routes concerning their products, implementation levels, goals, performance and perceived success.

Practical implications
Most respondents are public authorities from European countries. Besides, consideration should be given to developing quantitative research to validate the derived theory.

Social implications
The model may facilitate participants in enhancing and developing tourism routes, thereby contributing to achieving sustainable development goals related to rural-urban connections and tourism partnerships.

Originality/value
The development of tourism routes is expected to impact socio-economic development in rural/peripheral areas positively.
Factors related to health literacy of recurrent stroke prevention among older adult stroke survivors
Authors: Toonsiri Chanandchidadussadee , Jullamate Pornchai , Sianghwong Harit , Acedera Louela Cordova 
Published: August 2024

Purpose
This correlational study conducted at Ban Phaeo Hospital, Thailand, aimed to assess the health literacy levels of 105 older adult stroke survivors from November 2021 to February 2022.

Design/methodology/approach
The study uncovered a moderate level of health literacy among participants, as indicated by a mean score of 66.85 (SD = 8.151).

Findings
Significant positive correlations were observed between health literacy and several key factors, including patient-provider relationships (r = 0.550, p < 0.001), social support (r = 0.548, p < 0.001) and perceived health status (r = 0.484, p < 0.001). These findings emphasize the interconnectedness of health literacy with critical elements of healthcare engagement and well-being.

Research limitations/implications
To advance stroke prevention in the older adult population, future research should focus on evaluating nurse-led interventions designed to enhance health literacy.

Social implications
Raising awareness about the influence of patient-provider relationships, social support networks and perceived health status represents the initial stride toward a successful strategy for elevating health literacy and preventing recurrent strokes in this demographic.

Originality/value
This work is entirely original, all authors listed contributed to the project and have approved the final draft for submission. This work of art has not been published or is under consideration elsewhere. This study addresses the crucial gap in the literature by uncovering moderate health literacy levels among older adult stroke survivors. It delves into the intricacies of health literacy in this population, establishing correlations with patient-provider relationships, social support and perceived health status. The study emphasizes the critical role of health literacy in healthcare engagement and well-being, advocating for nurse-led interventions to enhance health literacy and prevent recurrent strokes in older adults.
Environmental sustainability in the digital age: unraveling the effect of social media on green purchase intention
Authors: Nazish Mohammed , Khan Mohammed Naved , Khan Zebran 
Published: August 2024

Purpose
The unethical use of natural resources is contributing to the increasing environmental degradation. The depleting environment poses a threat to the sustainability of present and future generations. This paper aims to investigate the impact of social media on the green purchase intention of consumers. The research adopts the theory of reciprocal determinism to integrate the variables of social media, green product knowledge, green consumption values and drive for environmental responsibility, assessing their collective impact on green purchase intention.

Design/methodology/approach
Data were gathered from a sample of 310 young consumers using a structured close-ended questionnaire. The proposed hypothesis was tested by employing PLS-SEM.

Findings
The study validates that social media (SM) has the ability to shape consumers' intention to choose more eco-friendly products. In addition to social media, green consumption values and the drive for environmental responsibility exert a significant influence on green purchase intention. However, green product knowledge did not have a significant impact on green purchase intention nor did mediate the relationship between social media and green purchase intention.

Originality/value
The existing scholarly literature indicates that researchers have employed a variety of theories as the basis for their studies aimed at predicting intentions and behaviors related to environmentally conscious purchases. To our knowledge, this is the first study to incorporate social media in the theory of reciprocal determinism. Notably, the paper represents the inaugural investigation in the context of an emerging economy to incorporate green product knowledge as a mediating variable.
Decoupled responses of the stability of above‐ and belowground productivity to drought and clipping in an alpine meadow
Authors: Ma Fangfang , Zhang Ruiyang , Svenning Jens‐Christian , Zhang Fangyue , He Yunlong , Wang Jinsong , Tian Dashuan , Zhou Qingping , Niu Shuli 
Published: August 2024

Abstract

Extreme drought and intensification of land use pose substantial threats to ecosystem stability. However, existing studies that assess ecosystem stability focus primarily on the stability of aboveground net primary productivity (ANPP), while the stability of belowground net primary productivity (BNPP) is often not considered.

Here, we examined the response patterns and drivers of ANPP stability and BNPP stability in an alpine meadow to drought and clipping (simulating grazing and mowing) by the implementation of five levels of simulated precipitation (1/12, 1/4, 1/2, 3/4 and ambient precipitation) and clipping (unclipped vs. clipped) treatments over 7 years (2016–2022).

The results showed that extreme drought decreased ANPP stability, while moderate drought increased BNPP stability and net primary productivity stability. The findings highlight the importance of jointly considering above‐ and belowground processes when evaluating ecosystem stability. Moreover, clipping did not have an impact on ANPP stability but reduced BNPP stability, and clipping differentially affected the stability of ANPP and BNPP in response to extreme drought. Furthermore, ANPP stability was largely determined by species temporal asynchrony rather than richness, whereas dominant species stability strongly contributed to the variation in BNPP stability of this alpine meadow faced with drought and clipping.

Synthesis: In general, these results provide experimental evidence for the decoupling of the responses of above‐ and belowground productivity stability to extreme drought and clipping. Our findings indicate that aboveground responses should not be used as the sole indicator of the whole ecosystem consequences of extreme drought and disturbance factors such as grazing or mowing, emphasizing the need to evaluate ecosystem stability from a whole ecosystem perspective.
Origin and Evolution Process of Overpressure in the Shahezi Formation of Xujiaweizi Fault Depression in the Northern Songliao Basin, NE China
Authors: ZHANG Chengju , JIANG Zhenxue , LU Jiamin , SHI Lidong , BI Zhongyu , SUN Lidong , YANG Liang , LI Xiaomei , LIU Jiajun , MIAO Huan 
Published: August 2024

AbstractIt is of great significance for deep oil and gas exploration to understand the origin and evolution behind overpressure. Overpressure occurs in the deep Shahezi Formation of Xujiaweizi fault depression. However, due to limited degree of exploration, there are some problems in the study area, such as unclear understanding of the origin of overpressure and the vague investigation of overpressure evolution. To clarify the impact of overpressure on oil and gas migration and accumulation in the study area, this study focuses on the research of the origin and evolution of overpressure in the Shahezi Formation of the study area, utilizing single well logging parameters and combining methods such as microthermometry of fluid inclusions, laser Raman spectrum, and basin simulation. The results show that the overpressure of the Shahezi Formation in Xujiaweizi fault depression is primarily generated by hydrocarbon generation pressurization, and the evolution of overpressure is closely related to hydrocarbon generation. The development of overpressure can be divided into two evolutionary stages: early hydrocarbon generation pressurization and late uplift release, with slight variations in different regions. Tight glutenite gas reservoirs in the Shahezi Formation are characterized by continuous charging. The overall charging period ranges from the late Denglouku to the early Mingshui (110–67 Ma ago). There is an obvious paleo‐overpressure during the gas reservoir formation period. The gas generation period of source rocks occurred approximately 125–60 Ma ago, and the main gas generation period (112–67 Ma ago) highly coincides with the period of natural gas charging. The anomalously high pressure during the accumulation period is considered the significant driving force for natural gas charging. In addition, the sustained effect of overpressure provides better conditions for the preservation of tight gas reservoirs within the source. The results of the study are of guiding significance for the in‐depth exploration and development of deep tight sandstone gas in the Shahezi Formation of Xujiaweizi fault depression.
Norway: Political Developments and Data in 2023
Authors: BERGH JOHANNES , KARLSEN RUNE 
Published: August 2024

AbstractAn unusually large number of political scandals left their mark on Norwegian politics in 2023. Most of the scandals involved conflicts of interest for current and former government ministers, and they led to several Cabinet resignations and dismissals. The local elections in September were a big win for the two main parties on the right of Norwegian politics. The two centre‐left parties that constitute the national governing coalition fared poorly in the elections.
Systematic review of barriers, facilitators, and tools to promote shared decision making in the emergency department
Authors: Ubbink Dirk T. , Matthijssen Melissa , Lemrini Samia , van Etten‐Jamaludin Faridi S. , Bloemers Frank W. 
Published: August 2024

AbstractObjectiveThe objective was to systematically review all studies focusing on barriers, facilitators, and tools currently available for shared decision making (SDM) in emergency departments (EDs).BackgroundImplementing SDM in EDs seems particularly challenging, considering the fast‐paced environment and sometimes life‐threatening situations. Over 10 years ago, a previous review revealed only a few patient decision aids (PtDAs) available for EDs.MethodsLiterature searches were conducted in MEDLINE, Embase, and Cochrane library, up to November 2023. Observational and interventional studies were included to address barriers or facilitators for SDM or to investigate effects of PtDAs on the level of SDM for patients visiting an ED.ResultsWe screened 1946 studies for eligibility, of which 33 were included. PtDAs studied in EDs address chest pain, syncope, analgesics usage, lumbar puncture, ureterolithiasis, vascular access, concussion/brain bleeding, head‐CT choice, coaching for elderly people, and activation of patients with appendicitis. Only the primary outcome was meta‐analyzed, showing that PtDAs significantly increased the level of SDM (18.8 on the 100‐point OPTION scale; 95% CI 12.5–25.0). PtDAs also tended to increase patient knowledge, decrease decisional conflict and decrease health care services usage, with no obvious effect on overall patient satisfaction. Barriers and facilitators were identified on three levels: (1) patient level—emotions, health literacy, and their own proactivity; (2) clinician level—fear of medicolegal consequences, lack of SDM skills or knowledge, and their ideas about treatment superiority; and (3) system level—time constraints, institutional guidelines, and availability of PtDAs.ConclusionsCircumstances in EDs are generally less favorable for SDM. However, PtDAs for conditions seen in EDs are helpful in overcoming barriers to SDM and are welcomed by patients. Even in EDs, SDM is feasible and supported by an increasing number of tools for patients and physicians.
BNST GluN2D‐containing NMDARs contribute to ethanol intake but not negative affective behaviors in female mice
Authors: Doyle Marie A. , Salimando Gregory J. , Altemus Megan E. , Badt Justin K. , Bedenbaugh Michelle N. , Vardy Alexander S. , Adank Danielle N. , Park Anika S. , Winder Danny G. 
Published: August 2024

AbstractBackgroundAlcohol use disorder (AUD) is a chronic, relapsing disease, highly comorbid with anxiety and depression. The bed nucleus of the stria terminalis (BNST) and Crh+ neurons in this region play a key role in chronic ethanol‐induced increases in volitional intake, hypothesized to be driven by emergent negative affective behaviors. Excitatory N‐methyl‐d‐aspartate receptors (NMDARs) are a major target of ethanol, and chronic ethanol exposure has been shown to regulate NMDAR function and expression. Specifically, GluN2D subunit‐containing NMDARs have emerged as a target of interest due to their limited distribution and potential roles in affective behavior.MethodsMale and female mice underwent a home cage chronic drinking forced abstinence model (CDFA) to assess the impact of 1 day or 2 weeks of ethanol abstinence on BNST synaptic transmission and BNST Grin gene expression. Constitutive and conditional BNST GluN2D knockout mice were used to assess the impact of GluN2D deletion on continuous access ethanol intake as well as negative affect behaviors, using the open field, elevated zero maze, and forced swim tasks.ResultsWe report here that excitatory transmission undergoes time‐dependent upregulation in BNST Crh+ cells. Further, knockdown of dorsal BNST (dBNST) GluN2D expression significantly decreases ethanol intake in female, but not male, mice. While BNST Grin2b expression was significantly increased in protracted abstinence following CDFA, no differences in Grin2d expression were observed in the dBNST or dBNST Crh+ neurons. Finally, we find that deletion of GluN2D fails to alter negative affect in ethanol‐naïve female mice.ConclusionsThese data suggest a role for BNST GluN2D‐containing NMDARs in ethanol drinking but not ethanol abstinence, highlighting sex differences and behavioral specificity. Overall, these data further suggest roles for BNST synaptic signaling in volitional ethanol intake that are partially independent of actions on affective behavior.