bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effect of entrepreneurial education on career choice intentions of college students: a social cognitive career theory approach
Authors: Cui Jun , Gu Luwen 
Published: June 2024

PurposeThis study aims at addressing the impact of entrepreneurial education (EE) by highlighting career choice intentions (CCI) and entrepreneurial mindset (EM) as impact indicators, as well as unpacking the drivers and mediators in the formation of CCI among college students underpinned by social cognitive career theory (SCCT).Design/methodology/approachThe hypotheses were tested on a survey sample of 1,198 students from 15 higher education institutions in China. Multinomial logistic regression was used to compare the different effects of EE on CCI, which is a categorical variable with four types of options.FindingsThe results confirmed the effects of EE on entrepreneurial self-efficacy (ESE), entrepreneurial outcome expectations (EOE) and EM, as well as the heterogeneity of antecedent connections with students preferring one career choice to the others. The results also revealed the mediating role of ESE and EOE in the model.Research limitations/implicationsThe study implies that ESE and EM should be integrated into EE learning outcomes and educators should focus on multiple career choice intentions rather than just entrepreneurial intention for college students' sustainable development.Originality/valueThe research contributes to the literature by verifying CCI and EM as impact indicators of EE, to a nuanced understanding of the educational development of various options of career paths by comparing different career intentions in a mediating model and to the expansion of SCCT by integrating diverse factors in a coherent model within the context of higher education in China.
Graph structure estimation neural network-based service classification
Authors: Li Yanxinwen , Xie Ziming , Cao Buqing , Lou Hua 
Published: June 2024

Purpose
With the introduction of graph structure learning into service classification, more accurate graph structures can significantly improve the precision of service classification. However, existing graph structure learning methods tend to rely on a single information source when attempting to eliminate noise in the original graph structure and lack consideration for the graph generation mechanism. To address this problem, this paper aims to propose a graph structure estimation neural network-based service classification (GSESC) model.

Design/methodology/approach
First, this method uses the local smoothing properties of graph convolutional networks (GCN) and combines them with the stochastic block model to serve as the graph generation mechanism. Next, it constructs a series of observation sets reflecting the intrinsic structure of the service from different perspectives to minimize biases introduced by a single information source. Subsequently, it integrates the observation model with the structural model to calculate the posterior distribution of the graph structure. Finally, it jointly optimizes GCN and the graph estimation process to obtain the optimal graph.

Findings
The authors conducted a series of experiments on the API data set and compared it with six baseline methods. The experimental results demonstrate the effectiveness of the GSESC model in service classification.

Originality/value
This paper argues that the data set used for service classification exhibits a strong community structure. In response to this, the paper innovatively applies a graph-based learning model that considers the underlying generation mechanism of the graph to the field of service classification and achieves good results.
Export market orientation, performance and international partner selection: word-of-mouth referral versus direct contact
Authors: Ishii Ryuta , Kikumori Mai 
Published: June 2024

PurposeExport market orientation can be broadly divided into intelligence (generation and dissemination) and responsiveness activities. Although previous studies assess intelligence and responsiveness activities, little is known about what type of international channel partner acts as an enabling condition for the impact of these activities on export venture performance. This study aims to examine the extent to which the selection of international channel partners through word-of-mouth referrals versus direct contacts affects the benefits of intelligence and responsiveness activities.Design/methodology/approachData were collected from 246 exporting manufacturers in Japan. To test the hypotheses, we conducted regression analyses using a subjective performance measure at the venture level. We also performed a post hoc analysis using objective performance measure at the function level.FindingsWe find that the extent to which international channel partners are selected through word-of-mouth referrals has a moderating role in the export market-oriented activities–performance linkages. Specifically, it acts as an enabling condition for intelligence activity and a disenabling condition for responsiveness activity.Originality/valueThis study contributes to a better understanding of export market orientation by classifying it into intelligence and responsiveness activities and providing empirical evidence on their different interaction effects with partner selection. It also contributes to the elaboration of agency theory by offering insights into the fit between task characteristics and contract type. Our study is critical for business managers as it suggests guidelines for manufacturing exporters engaging in export market-oriented behaviors and export channel management.
Exploring organizational change in the age of digital transformation and its impact on talent management: trends and challenges
Authors: Montero Guerra José Manuel , Danvila-Del Valle Ignacio 
Published: June 2024

PurposeThis article aims to examine whether the organizational changes brought about by digital transformation (DT) -such as a new organizational culture, new leadership and new business models-influence talent management, with the latter being seen as one of the major challenges facing companies in their process of digital transformation.Design/methodology/approachUsing a quantitative methodology, a survey was applied to 314 companies in order to analyze the results of their talent management in the DT process. DT is not only digitalization as demonstrated in this study. Talent management is the key piece that can facilitate or block achieving high levels of digital maturity.FindingsThe study finds that the changes brought about by DT impact talent attraction, talent retention, and talent management in general, and also shows that digital transformation does not depend on digitalization, but rather that talent management is the key to either helping or preventing high levels of digital maturity being achieved.Originality/valueThe originality of this work lies in examining the influence of the changes that DT entails in talent management.
The nexus between intrapreneurship and person-job fit: a qualitative comparative analysis of work motivation in SMEs
Authors: Chouchane Rahma , St-Jean Étienne 
Published: June 2024

PurposeBased on self-determination theory and the perspective of person-job fit, this study aims to determine the configurations of situations in which the person-intrapreneurship fit and psychosocial factors that lead to different types of motivation.Design/methodology/approachThe data were collected from 199 employees of four Quebec small and medium-sized enterprises (SMEs) and analyzed by a configurational approach using the Qualitative Comparative Analysis (QCA) method.FindingsThe results indicate that for intrapreneurs to operate autonomously, it is crucial that they do not experience job anxiety. Intrapreneurial self-efficacy is required when intrapreneurship is voluntary (strong fit) but not when forced (poor fit). In forced intrapreneurship, organizational support is central to self-determination. Thus, regardless of self-efficacy, the model suggests autonomous motivation is possible in forced intrapreneurship if the employee has organizational support and lacks anxiety.Practical implicationsThese findings underscore the imperative for organizations to prioritize the psychological well-being of their employees, particularly when engaging them in intrapreneurial projects. Additionally, managers can foster autonomous motivation by encouraging favorable behaviors such as intrapreneurial behavior (IB) and providing essential support, particularly when these projects may not align with employees' ambitions and intentions.Originality/valueThis study offers a novel perspective on the role of person-job fit in the specific context of intrapreneurship, based on a new categorization of fit based on the disparity between employees' intrapreneurial intention and actual intrapreneurial behavior. It provides unique theoretical and practical insights into fostering autonomous motivation through the lens of person-intrapreneurship fit.
Stock price crash risk research: current trends and future directions
Authors: Srivastava Anjali , Assaf Rima , Pandey Dharen Kumar , Kumar Rahul 
Published: June 2024

PurposeUnderstanding and mitigating stock price crash risk is vital for investors and regulators to ensure financial market stability. This study aims to unveil significant research trends and opportunities.Design/methodology/approachThis study adopts the bibliometric and systematic review approach to analyse 485 Scopus-indexed articles through citation, keyword co-occurrence, bibliographic coupling, and publication analyses and delve into the depth of crash risk literature.FindingsThis bibliometric review reveals not only a surge in crash risk publications over the last decade but also delineates several emerging thematic threads within this domain. We identify seven distinct themes that have gained prominence in recent literature: bad news hoarding, board characteristics, capital market factors, corporate policies, ownership impact, corporate governance, and external environmental influences on crash risk. This thematic analysis provides a comprehensive overview of the evolving landscape of crash risk research and underscores the multifaceted nature of factors contributing to market instability.Practical implicationsThis study makes a substantial contribution by furnishing a thorough examination of existing studies, pinpointing areas where knowledge is lacking, and shedding light on emerging trends and debates within the crash risk literature.Originality/valueThis study identifies current research trajectories and propels future exploration into agency perspectives, audit quality, and corporate disclosures within crash risk literature.
Safety training needs of educational institutions
Authors: Savolainen Timo , Airo Kaisa , Jylhä Tuuli 
Published: June 2024

Purpose
The overall quality of education may be compromised due to the limited availability of safety and security (S&S) courses in professional teacher education. The purpose of this paper is to identify the main safety-related training needs of a higher education institution, which may provide insights for improving the quality of education from a safety perspective.

Design/methodology/approach
This study included 17 interviews with students and staff experienced in S&S due to their professions. The study also used Laurea University of Applied Sciences’ (Laurea) S&S reports, which have a variety of S&S events from 28 October 2020 to 20 December 2021. Both data sets were analyzed using qualitative theory-driven content analysis.

Findings
Safety risks at schools are mainly constructed through the negative psychosocial atmosphere and lack of safety knowledge and/or skills. There is a need for safety training covering key topics such as crime prevention, violence, fire safety and understanding inclusion and diversity.

Practical implications
The study proposes a new risk-based training and development management model for school management and the planning of training activities.

Social implications
The analysis offers valuable perceptions of the S&S challenges of educational institutions, which can be used as a starting point to enhance overall educational quality and safety.

Originality/value
This paper provides a novel way of improving the safety of education by approaching training needs from a risk assessment perspective.
General and specific effects of foundation species on the structure of alpine‐fellfield communities in the Taisetsu Mountains, northern Japan
Authors: Kikvidze Zaal , Kudo Gaku , Suzuki Maki , Shimono Yoshiko , Sukeno Mikio 
Published: June 2024

AbstractThe great majority of studies on foundation species focused on a single dominant plant in a community, while more than one such species can often coexist and compete for space and limited resources. Morphologically different coexisting foundation species can create diverse niches occupied by different subsets of beneficiary species. To test this hypothesis, we sampled alpine plant communities at exposed fellfields in alpine zone, in the Taisetsu Mountains (Hokkaido, northern Japan), with coexisting putative foundation species Pinus pumila (evergreen shrub) and Diapensia lapponica (evergreen cushion‐forming shrub), and analyzed their spatial relationships with other plants. Preliminary vegetation survey indicated that fruticose lichens and Loiseleuria procumbens (evergreen mat‐forming shrub) might also act as a foundation species; thus, we included them in our analyses. The coexisting foundation species had both general as well as specific effects on plant community structure. Namely, almost all the members of the community aggregated spatially with lichens, while the other foundation species were spatially segregated from each other. These foundation plants associated with different members of the community, thus showing species‐specific effects on the community structure. Blooming species showed even stronger patterns of species‐specific spatial associations, suggesting that foundation species had beneficial effects on their associated species. We conclude that the focus on coexisting foundation species can reveal important details of community structure which would be hidden if we treated all species as equal members of the community. Studying the effects of coexisting foundation species could greatly advance our understanding of how species diversity functions in plant communities.
Changes in the prevalence of maternal chronic conditions during pregnancy: A nationwide age–period–cohort analysis
Authors: Lundborg Louise , Ananth Cande V. , Joseph K. S. , Cnattingius Sven , Razaz Neda 
Published: June 2024

AbstractObjectiveTo estimate temporal changes in the prevalence of pre‐existing chronic conditions among pregnant women in Sweden and evaluate the extent to which secular changes in maternal age, birth cohorts and obesity are associated with these trends.DesignPopulation‐based cross‐sectional study.SettingSweden, 2002–2019.PopulationAll women (aged 15–49 years) who delivered in Sweden (2002–2019).MethodsAn age–period–cohort analysis was used to evaluate the effects of age, calendar periods, and birth cohorts on the observed temporal trends.Main outcome measuresPre‐existing chronic conditions, including 17 disease categories of physical and psychiatric health conditions recorded within 5 years before childbirth, presented as prevalence rates and rate ratios (RRs) with 95% confidence intervals (CIs). Temporal trends were also adjusted for pre‐pregnancy body mass index (BMI) and the mother's country of birth.ResultsThe overall prevalence of at least one pre‐existing chronic condition was 8.7% (147 458 of 1 703 731 women). The rates of pre‐existing chronic conditions in pregnancy increased threefold between 2002–2006 and 2016–2019 (RR 2.82, 95% CI 2.77–2.87). Rates of psychiatric (RR 3.80, 95% CI 3.71–3.89), circulatory/metabolic (RR 1.62, 95% CI 1.55–1.71), autoimmune/neurological (RR 1.69, 95% CI 1.61–1.78) and other (RR 2.10, 95% CI 1.99–2.22) conditions increased substantially from 2002–2006 to 2016–2019. However, these increasing rates were less pronounced between 2012–2015 and 2016–2019. No birth cohort effect was evident for any of the pre‐existing chronic conditions. Adjusting for secular changes in obesity and the mother's country of birth did not affect these associations.ConclusionsThe burden of pre‐existing chronic conditions in pregnancy in Sweden increased from 2002 to 2019. This increase may be associated with the improved reporting of diagnoses and advancements in chronic condition treatment among women, potentially enhancing their fecundity.
Survival outcome of esophagectomy and chemoradiotherapy for resectable esophageal squamous cell carcinoma in patients >75 years of age
Authors: Mayanagi Shuhei , Inoue Masazumi , Tokizawa Kazunori , Fushiki Kunihiro , Tsushima Takahiro , Yokota Tomoya , Yamazaki Kentaro , Yasui Hirofumi , Tsubosa Yasuhiro 
Published: June 2024

AbstractBackgroundThe gold standard for resectable, locally advanced esophageal squamous cell carcinoma (ESCC) is surgery‐based treatment; however, it is unclear whether esophagectomy or chemoradiotherapy is suitable for older patients. This retrospective study aimed to identify the treatment outcomes of surgery‐based therapy versus definitive chemoradiotherapy (dCRT) as an initial treatment for older patients with resectable, locally advanced ESCC.MethodsData from 434 patients who received radical treatment for resectable, locally advanced ESCC were collected from January 2011 to December 2020. Of the patients >75 years of age, 49 underwent radical esophagectomy and 26 received dCRT. Survival was compared between the surgery and dCRT groups.ResultsThe mean ages of the surgery and chemoradiotherapy groups were 77.3 and 78.8 years, respectively. Differences in overall survival (OS) between the two groups were not statistically significant (3‐year OS: surgery 66.2%, dCRT 55.7%, p = 0.236). Multivariate analysis for OS showed a hazard ratio of 1.229 for dCRT versus surgery (90% confidence interval 0.681–2.217). OS did not differ between the groups in any of the performance statuses. For patients who were able to receive chemotherapy using fluorouracil and cisplatin, OS tended to be better in the surgery group, but the difference was not statistically significant (3‐year OS: surgery 68.1%, dCRT 51.8%, p = 0.117).ConclusionsThere was no clear difference in survival outcome between surgery‐based therapy and dCRT as an initial treatment for esophageal cancer in older patients. Either treatment may be an option for older patients.
Suitability of frozen cell pellets from cytology specimens for the Amoy 9‐in‐1 assay in patients with non‐small cell lung cancer
Authors: Kodama Hiroaki , Murakami Haruyasu , Mamesaya Nobuaki , Kobayashi Haruki , Omori Shota , Wakuda Kazushige , Ko Ryo , Ono Akira , Kenmotsu Hirotsugu , Naito Tateaki , Matsumoto Shingo , Goto Koichi , Shimizu Tetsuo , Gon Yasuhiro , Takahashi Toshiaki 
Published: June 2024

AbstractBackgroundThe AmoyDx Pan lung cancer PCR panel (AmoyDx PLC panel) has been approved as a companion diagnostic tool for multiple anticancer agents in patients with non‐small cell lung cancer (NSCLC). However, the suitability of cytology specimens as samples for the AmoyDx PLC panel remains unclear. We evaluated the performance of frozen cell pellets from cytology specimens (FCPs) in the Amoy 9‐in‐1 assay, a preapproval assay of the AmoyDx PLC panel.MethodsWe retrospectively collected data of NSCLC patients enrolled in LC‐SCRUM‐Asia from the Shizuoka Cancer Center between September 2019 and May 2021.ResultsA total of 49 cases submitted FCPs for evaluation of oncogenic driver alterations and were assessed using Amoy 9‐in‐1 and next‐generation sequencing (NGS) assays. The success rates of DNA and RNA analyses using the Amoy 9‐in‐1 were both 100%, compared with 86% and 45%, respectively, using NGS assays. Oncogenic driver alterations were detected in 27 (55%) and 23 (47%) patients using Amoy 9‐in‐1 and NGS, respectively. No inconsistent results were observed among 19 cases in which both assays showed successful detection. In the remaining 30 cases, 10 had inconsistent results: nine oncogenic driver alterations (3 MET, 2 ALK, 2 ROS1, and 2 KRAS) were detectable only in Amoy 9‐in‐1, and one epidermal growth factor receptor (EGFR) mutation was detectable only in NGS.ConclusionFCPs can be successfully used in the AmoyDx PLC panel, with higher success rate compared with the NGS assay. The AmoyDx PLC panel may be an option in cases when insufficient tissue sample is available for the NGS assay.
Global, interhemispheric and intrahemispheric functional connection patterns in male adults with alcohol use disorder
Authors: Wei Yarui , Wang Weijian , Kang Yimeng , Niu Xiaoyu , Zhang Zanxia , Li Shujian , Han Shaoqiang , Cheng Jingliang , Zhang Yong 
Published: June 2024

AbstractA growing body of evidence indicates the existence of abnormal local and long‐range functional connection patterns in patients with alcohol use disorder (AUD). However, it has yet to be established whether AUD is associated with abnormal interhemispheric and intrahemispheric functional connection patterns. In the present study, we analysed resting‐state functional magnetic resonance imaging data from 55 individuals with AUD and 32 healthy nonalcohol users. For each subject, whole‐brain functional connectivity density (FCD) was decomposed into ipsilateral and contralateral parts. Correlation analysis was performed between abnormal FCD and a range of clinical measurements in the AUD group. Compared with healthy controls, the AUD group exhibited a reduced global FCD in the anterior and middle cingulate gyri, prefrontal cortex and thalamus, along with an enhanced global FCD in the temporal, parietal and occipital cortices. Abnormal interhemispheric and intrahemispheric FCD patterns were also detected in the AUD group. Furthermore, abnormal global, contralateral and ipsilateral FCD data were correlated with the mean amount of pure alcohol and the severity of alcohol addiction in the AUD group. Collectively, our findings indicate that global, interhemispheric and intrahemispheric FCD may represent a robust method to detect abnormal functional connection patterns in AUD; this may help us to identify the neural substrates and therapeutic targets of AUD.