bluuebunny/crossref_metadata_2025_split huggingface dataset:
Main path analysis: a methodological framework for knowledge diffusion trajectories in scientometrics studies
Authors: Elangovan Nishavathi , Jeyshankar Ramalingam 
Published: November 2024

Purpose
The purpose of this study is to propose an analytical framework for generating main path analysis (MPA) and demonstrate the process involved in identifying, analyzing the MPA on a citation network and empirically testing in the research field chromosome anomalies (CA).

Design/methodology/approach
The proposed methodological structure involves five phases of the process. Search path method is used to measure the weights of each citation link from a source vertex to a sink vertex. The key route local main path and global main path are generated to identify the knowledge diffusion trajectories and validated by cross-referencing with existing literature, co-citation analysis and centrality measures of social network analysis.

Findings
The empirical validation of this framework within CA research demonstrates its potential for tracing knowledge diffusion and technological development trajectories over three decades. This approach elucidates two major intellectual knowledge flows. The first key-route main path identified the primary diagnostic protocols. The second key-route main path revealed that cancer or carcinogenesis is identified as one of the mainstream of CA.

Research limitations/implications
The limitations of the data and coverage period restrict the scope of this study. MPA was applied exclusively to the most influential sub network and disregarded other sub networks. MPA identified the seminal papers that provided a historical development in diagnostic protocol and their interconnectedness of disorders and diseases. This helps the researchers to develop targeted therapies and interventions, especially in cancer treatment.

Social implications
Exploiting MPA on CA research provides valuable insights to stakeholders in developing evidence-based public health policies. This is crucial for preventing the birth of children with birth defects or genetic diseases, promoting public health and reducing the socioeconomic burden on a country through enhanced surveillance and prevention efforts.

Originality/value
The study suggests that in addition to traditional scientometrics measures, MPA can be used to trace the evolution of knowledge and technological advancements. It also highlights the role of social network analysis measures in extracting main paths.
Navigating crisis through digitalisation and its impact on firm formality: the case of microenterprises in India
Authors: Shahid Muhammad Shehryar , Salvi Esther , Sajjad Mehak 
Published: November 2024

PurposeUsing an institutional lens and drawing on the arguments of the external enabler perspective, this study aims to examine the role of digital technology adoption on the performance of microenterprises, with a focus on their level of formality. It further explores these relationships in the context of an external crisis, like the COVID-19 pandemic.Design/methodology/approachThe study uses data from 7,510 Indian microenterprises collected by the World Bank and applies a mediated-moderation model to analyse the relationship between digital technology adoption, formality and microenterprise performance during the COVID-19 pandemic.FindingsThe results reveal a significantly positive relationship between digital technology adoption and microenterprise performance. Importantly, we argue that this relationship between digital technology and microenterprise performance is strongly mediated by the level of a firm’s formality. Moreover, this study also finds that the relationship between digital technology adoption and microenterprise performance will be positively moderated by the impact that the COVID-19 pandemic has on the microenterprise, suggesting that the pandemic enhanced the benefits of digital technology adoption for microenterprises.Originality/valueThis study expands on the positive relationship between technology adoption and microenterprise performance by investigating the moderating role of COVID-19 impact and the mediating role of firm formality. The key contribution of this research is the mediating role of formality between digitalisation and firm performance. By testing this novel mediating relationship, we theorise that the adoption of digital technology helps microenterprises to overcome certain institutional voids in an emerging market context, serving as a viable conduit for formalisation. In turn, higher levels of formality lead to higher microenterprise performance. We also contribute to the emerging stream of literature discussing the role of an external enabler, such as the COVID-19 pandemic in entrepreneurship. In the end, the study offers novel policy implications.
Exploring the mediating role of attitude in ESG investment intentions: insights from the Fogg behavior model
Authors: Wang Shanshan , Hu Chunling , Chen Shih-Chih 
Published: November 2024

PurposeWith the growing global emphasis on environmental, social and governance (ESG) criteria, it is crucial to investigate the factors that influence individuals' intentions to invest in ESG and to understand the underlying mechanisms at play. This study constructs a theoretical model, grounded in the Fogg behavioral model (FBM), and explores the mediating role of ESG investment attitudes in shaping individuals' ESG investment behaviors.Design/methodology/approachA survey was conducted among ESG investors and potential ESG investors in China, resulting in 613 valid responses regarding ESG investment. The partial least squares structural equation modeling (PLS-SEM) approach was utilized to evaluate the proposed model and test the hypotheses.FindingsThe results reveal that future orientation, ESG investment bias and perceived ESG investment performance are significant determinants of ESG investment intentions, with attitude playing a partially mediating role. Furthermore, government support moderates the relationship between perceived ESG investment performance and investment intention.Originality/valueThis study expands the application of the FBM to the context of ESG investment and introduces a novel conceptual framework for understanding ESG investment behavior. The findings provide valuable insights for enterprises and institutions involved in ESG investment, aiding them in identifying and targeting potential investors more effectively. Additionally, the study offers a foundation for policymakers to devise strategies that promote sustainable development.
Improving halalness and food safety management systems in the Indonesian broiler supply chain: an interpretive structural modeling and Bayesian network approach
Authors: Wahyuni Hana Catur , Vanany Iwan , Gunawan Ivan , Mulyono Julius 
Published: November 2024

Purpose
By exploring the halalness and food safety risks from the perspective of technology and the relationship among them, this study aims to make quantitative predictions of such risks in the broiler supply chain to determine the critical control points (CCPs) in Hazard Analysis Critical Control Point (HACCP).

Design/methodology/approach
This study integrates Interpretive Structural Modeling (ISM) and Bayesian Network (BN) to achieve the objectives. Data were collected from focus group discussions (FGDs) with experts and direct observations at the broiler supply chain.

Findings
This paper identified 19 risks in the Indonesian broiler supply chain. The risk for halalness and food safety reached 30.92%, indicating that assuring halalness and food safety remains improbable or unlikely. The two CCPs of halalness and food safety are the knife’s sharpness and the vehicle’s storage temperature.

Research limitations/implications
This study quantifies the halalness and food safety risks in the Indonesian broiler supply chain, but it only involves one step forward and one step backward in the slaughterhouse’s chain.

Practical implications
The findings can provide insights for stakeholders, such as business owners, employees, management system auditors and consumers, regarding the critical control points of halalness and food safety in the broiler supply chain to improve the halalness and food safety management systems.

Originality/value
This study’s novelty lies in the examination of halalness and food safety risks using a risk prediction model to determine CCPs for the HACCP plan in the broiler supply chain in Indonesia.
Digital knowledge management in agile self-tuning organisations: a multiple case study
Authors: Centobelli Piera , Cerchione Roberto , Oropallo Eugenio , Papa Armando , Palermo Stefano 
Published: November 2024

Purpose
Given the evolution that knowledge management (KM) has undergone since the advent of the digital transition, the purpose of this paper is to evaluate how KM processes have changed as a result of agile organisations’ adoption of digital technologies.

Design/methodology/approach
Years have passed since the onset of the fourth industrial revolution, and the technologies unique to this revolution have permeated every organisation to varying degrees. Whether organisations have been at the forefront of technological innovation or have had to adapt to much more advanced digitised processes, they have had to change how they manage operations internally and with the remainder of the supply chain they serve. These changes have been much more significant for agile organisations, which rely heavily on digital systems and have strong supplier and customer interactions. Due to the large amount of data generated, these organisations are referred to as knowledge-intensive businesses, and as a result, their KM processes are of the utmost importance. For this reason, a multiple case study with a grounded theory approach has been implemented to carry out a field analysis.

Findings
The results show that Industry 4.0 technological advances can be included in the scientific debate on KM and agile innovation, given the effects that such technologies have on organisations.

Originality/value
In today’s increasingly connected world, these findings have the potential to generate significant economic value by improving coordination and collaboration in KM processes.
An empirical analysis of user intention to use chatbots for airline tickets consultation
Authors: Alotaibi Mohammed , Hidayat-ur-Rehman Imdadullah 
Published: November 2024

Purpose
This study aims to empirically analyze the factors influencing users’ intention to use chatbots for airline ticket consultation. It seeks to introduce a comprehensive framework based on the technology acceptance model (TAM) that integrates key factors alongside traditional TAM constructs to understand what drives behavioral intention to use chatbots in the context of airline ticket consultation.

Design/methodology/approach
The study uses the partial least squares-structural equation modeling (PLS-SEM) approach to validate the proposed model empirically. Data were collected through a survey questionnaire distributed to potential users in Saudi Arabia, with 393 valid responses from a total of 409 received being included in the analysis.

Findings
The empirical analysis confirms the significance of perceived usefulness and user satisfaction as direct determinants of behavioral intention. Additionally, it reveals that factors such as perceived ubiquitous access, perceived completeness, perceived accuracy, perceived unbiased response and perceived convenience have both direct and indirect significant impacts on the behavioral intention to use chatbots for airline ticket consultation.

Originality/value
This research advances theoretical understanding and holds practical implications for designing and implementing effective chatbot services. By investigating the complex interplay of these factors, the study makes substantive contributions to both theoretical advancements and practical applications in the field, particularly in enhancing the user experience and acceptance of chatbots for airline ticket consultations.
In the heart of B2B branding: exploring the link between brand-specific transformational leadership, employer branding andemployee-based brand equity
Authors: Sousa Bianca , Ferreira Pedro 
Published: November 2024

Purpose
This study aims to examine the relationships between brand-specific transformational leadership (TFL), employer branding and employee-based brand equity (EBBE) in the business-to-business (B2B) context. Additionally, the study investigates the mediating role of employer branding in the relationship between brand-specific TFL and EBBE, shedding light on the mechanisms through which brand-specific leaders impact EBBE via employer branding initiatives.

Design/methodology/approach
The study takes a quantitative approach. Data collection was conducted using a questionnaire in B2B service sectors. The PLS method was applied in Smart PLS (V. 3.0) to test the established relationships between constructs.

Findings
The findings reveal significant positive associations between brand-specific TFL and employer branding, as well as between employer branding and EBBE. The relationship between brand-specific TFL and EBBE is partial mediated by employer branding.

Originality/value
This study contributes to theoretical understanding by advancing knowledge on the mechanisms driving EBBE within B2B firms. It offers practical insights for managers and researchers by highlighting the importance of leadership and employer branding strategies in enhancing EBBE in the B2B context.
Learning for an uncertain future: artificial intelligence a challenge for Pakistani education system in the era of digital transformation
Authors: Khurshid Saba , Khurshid Shumaila , Toor Hafsa Khalil 
Published: November 2024

PurposeThe rapid advancement of AI in education brings both significant challenges and opportunities. In Pakistan, where the educational system is facing numerous issues, AI integration has raised significant concerns. Therefore, this study aims to explore the challenges AI poses to the Pakistani education system in the era of digital transformation.Design/methodology/approachA focus group was conducted with 13 participants, including educators and heads of departments from universities located in Rawalpindi and Islamabad. Thematic analysis was used to generate themes from the data.FindingsThe study findings indicated that AI integration in education can provide personalized and adaptive learning and teaching experiences by bridging the educational divide through easy access to quality education. Participants also highlighted the anxieties related to the digital divide as a great challenge for Pakistan. The integration of AI and automation in education is also raising concerns about job displacement for educators.Originality/valueIt highlighted that the integration of AI into the educational system can also bring both challenges and opportunities. To tackle these issues, potential strategies such as professional development and training programs to develop AI literacy among educators need to be introduced.
Commentary on “The benefits of precision teaching for educational psychologists”
Authors: Owen Kaydee 
Published: November 2024

Purpose
This commentary aims to reflect on the paper by Kubina et al. (2024).

Design/methodology/approach
It offers an overview of the existing evidence base for precision teaching to support individuals with intellectual and developmental disabilities and some of the wider considerations around training for educational psychologists.

Findings
Precision teaching approaches can yield positive outcomes when delivered to high levels of fidelity.

Originality/value
This paper advocates for training opportunities for educational psychologists so that they can use precision teaching strategies with their learners and work effectively with teachers.
Intra‐ and Postoperative Complications in 4565 vNOTES Hysterectomies: International Registry Cohort Study
Authors: Stuart Andrea , Wagenius Johanna , Badiglian‐Filho Levon , Schnabel Jens , Montealegre Alvaro , Ehrström Sophia , Hartmann Michael , Vercammen Jona , Huber Daniela , Lingström Anna , Baekelandt Jan 
Published: November 2024

ABSTRACTObjectiveTo present the rates of intra‐ and postoperative complications and conversions in a large cohort of unselected vNOTES hysterectomies, performed by surgeons with different levels of expertise.DesignInternational register‐based cohort study.SettingHysterectomies in the iNOTESs registry, 2015 to January 2024, performed by 201 surgeons from multiple countries.Population4565 patients undergoing vNOTES hysterectomy.MethodsDescriptive data are presented in frequencies (n) and percent (%).Main Outcome MeasureIntra‐ and postoperative complications. Conversions.ResultsIntraoperative and postoperative complication rates were 3.2% (n = 144) and 2.5% (n = 115), respectively. Conversions occurred in 1.6% (n = 72), of which 10 (0.2%) to laparotomy, and 82% of the conversions occurred within the first 50 cases of the surgeon's learning curve. The most common intraoperative complication was cystotomy, occurring in 1.3%, and almost half were performed by inexperienced surgeons. Other intraoperative organ injuries occurred in 20 cases (0.44%). Postoperatively, the most common complications were haemorrhage (n = 28), vault complications (n = 26) including 11 infected vault hematomas, cystitis (n = 18) and non‐specific infections (n = 14). The vNOTES hysterectomies were performed by 201 surgeons, of which 9.5% had performed more than 50 vNOTES cases, representing 70% of the registered cases in the registry. The remaining 30% of the hysterectomies mainly represent learning curve data from 90% of the included surgeons. The complication rate decreased with increasing surgical experience.ConclusionsThe largest study population of vNOTES hysterectomies is presented, including both learning curve data and data from experienced surgeons, with acceptable rates of intra‐ and postoperative complications. No implication was found of vNOTES being inferior to other minimally invasive methods.
Probe Capture Enrichment Sequencing of amoA Genes Improves the Detection of Diverse Ammonia‐Oxidising Archaeal and Bacterial Populations
Authors: Hiraoka Satoshi , Ijichi Minoru , Takeshima Hirohiko , Kumagai Yohei , Yang Ching‐Chia , Makabe‐Kobayashi Yoko , Fukuda Hideki , Yoshizawa Susumu , Iwasaki Wataru , Kogure Kazuhiro , Shiozaki Takuhei 
Published: November 2024

ABSTRACTThe ammonia monooxygenase subunit A (amoA) gene has been used to investigate the phylogenetic diversity, spatial distribution and activity of ammonia‐oxidising archaeal (AOA) and bacterial (AOB), which contribute significantly to the nitrogen cycle in various ecosystems. Amplicon sequencing of amoA is a widely used method; however, it produces inaccurate results owing to the lack of a ‘universal’ primer set. Moreover, currently available primer sets suffer from amplification biases, which can lead to severe misinterpretation. Although shotgun metagenomic and metatranscriptomic analyses are alternative approaches without amplification bias, the low abundance of target genes in heterogeneous environmental DNA restricts a comprehensive analysis to a realisable sequencing depth. In this study, we developed a probe set and bioinformatics workflow for amoA enrichment sequencing using a hybridisation capture technique. Using metagenomic mock community samples, our approach effectively enriched amoA genes with low compositional changes, outperforming amplification and meta‐omics sequencing analyses. Following the analysis of metatranscriptomic marine samples, we predicted 80 operational taxonomic units (OTUs) assigned to either AOA or AOB, of which 30 OTUs were unidentified using simple metatranscriptomic or amoA gene amplicon sequencing. Mapped read ratios to all the detected OTUs were significantly higher for the capture samples (50.4 ± 27.2%) than for non‐capture samples (0.05 ± 0.02%), demonstrating the high enrichment efficiency of the method. The analysis also revealed the spatial diversity of AOA ecotypes with high sensitivity and phylogenetic resolution, which are difficult to examine using conventional approaches.
A small‐molecule screen identifies novel aging modulators by targeting 5‐HT/DA signaling pathway
Authors: Ye Shi‐Wei , Song Shuang‐Di , Liu Xi‐Juan , Luo Yun , Cai Shi‐Qing 
Published: November 2024

AbstractThe risk of many human diseases including cardiovascular diseases, cancer, neurodegenerative diseases, and musculoskeletal disorders rises significantly in the elderly. With the increase in the aging population, it is becoming increasingly important to understand the biology of healthy aging and develop interventions that slow down the aging process or prevent age‐related diseases. In this study, by a high‐throughput screen in Caenorhabditis elegans (C. elegans), we identified 11 small molecules that promote healthy aging. Among them, Carbamazepine (a voltage‐gated channels inhibitor) and Calmagite (a calcium and magnesium indicator) enhanced serotonin (5‐HT) and dopamine (DA) levels, extended lifespan, and preserved several important behaviors in aging C. elegans. These behaviors include slowing responses to food, pharyngeal pumping, locomotion, and male mating. Interestingly, we further found that administration of Carbamazepine or Calmagite alleviated hyperexcitability of aging male diagonal muscles and improved behavioral performance by ameliorating Ca2+ homeostasis. Mechanistically, administration of Carbamazepine or Calmagite induced nuclear translocation of the transcription factor DAF‐16 and thus up‐regulated its downstream genes numr‐1/−2, which are known to promote resistance to metal‐induced stresses and longevity. Taken together, our study offers a way for the discovery of drugs that promote healthy aging, and provides potential interventions for preventing behavioral deterioration in the elderly.
Muscle fibroblasts and stem cells stimulate motor neurons in an age and exercise‐dependent manner
Authors: Soendenbroe Casper , Schjerling Peter , Bechshøft Cecilie J. L. , Svensson Rene B. , Schaeffer Laurent , Kjaer Michael , Chazaud Bénédicte , Jacquier Arnaud , Mackey Abigail L. 
Published: November 2024

AbstractExercise preserves neuromuscular function in aging through unknown mechanisms. Skeletal muscle fibroblasts (FIB) and stem cells (MuSC) are abundant in skeletal muscle and reside close to neuromuscular junctions, but their relative roles in motor neuron maintenance remain undescribed. Using direct cocultures of embryonic rat motor neurons with either human MuSC or FIB, RNA sequencing revealed profound differential regulation of the motor neuron transcriptome, with FIB generally favoring neuron growth and cell migration and MuSC favoring production of ribosomes and translational machinery. Conditioned medium from FIB was superior to MuSC in preserving motor neurons and increasing their maturity. Lastly, we established the importance of donor age and exercise status and found an age‐related distortion of motor neuron and muscle cell interaction that was fully mitigated by lifelong physical activity. In conclusion, we show that human muscle FIB and MuSC synergistically stimulate the growth and viability of motor neurons, which is further amplified by regular exercise.