bluuebunny/crossref_metadata_2025_split huggingface dataset:
Differences in self-perceived employability between university and VET students: an analysis of emerging adults in Spain
Authors: Sánchez-Queija María Inmaculada , Sánchez-García Laura , Rothwell Andrew T. , Parra Águeda 
Published: January 2023

PurposeThe present study analyzes differences in self-perceived employability (SPE) among Spanish university and vocational education and training (VET) students. It also aims to determine whether factors such as gender, work experience and perceptions of the precariousness of the job market have a differential effect on SPE in accordance with the training pathway chosen by emerging adults.Design/methodology/approachA total of 1,715 university students (64.7% women) and 488 VET students (37.1% women) aged between 18 and 29 years completed a self-administered questionnaire that included measures of perceived employability and precarious employment.FindingsThe results indicate higher SPE among VET students than among their university counterparts. Female university students scored lower also than their male colleagues, an effect that was not observed among VET students. Prior work experience improved internal SPE among students on both training pathways. However, among university students, work experience and precarious employment reduced external SPE, an affect that was not observed among VET students.Practical implicationsThe analysis of differences in SPE between university and VET students highlights the importance of an educational curriculum that includes practical competences for enhancing employability. The results also reflect the negative consequences of precarious employment on feelings of employability during this life stage, particularly among those studying at university.Originality/valueThis is one of the first studies to analyze the perceived employability of emerging adults on two different training pathways in Spain.
Protection of intellectual property and human rights during health emergencies: an assessment of the patent waiver proposal
Authors: Nambiar Vishnu , Kunte Gayatri , Bhat Varadurga 
Published: January 2023

Purpose
Several countries, such as South Africa and India, believe that intellectual property rights (IPRs), including patents, impede the efficient increase in vaccine production to inoculate the global population as they scramble to recover from the COVID-19 pandemic. Their proposal at the World Trade Organization (WTO) to waive these pharmaceutical patents has been met with resistance from a few developed countries, who believe that the abrogation of IPRs is unnecessary, even during a pandemic. The purpose of this paper is to discuss the impact of a potential waiver of medical patents at the WTO versus the status quo of IPR laws in the global economy.

Design/methodology/approach
This study examines key arguments from economic and moral standpoints regarding the provisions of the Trade-Related Aspects of Intellectual Property Rights (TRIPS) agreement and other related international agreements and their validity based on the premise of the internalisation of positive externalities posed by vaccines.

Findings
The effectiveness of the TRIPS agreement in securing medical access is weak on account of the ability of profit-making multinationals to secure IP rights and on account of the Trans-Pacific Partnership, a multilateral agreement that supports patent evergreening and a period of protection on test data which challenges the access to medicines and the fundamental human right to health.

Originality/value
This study examines international IPRs through the lens of human rights and proposes a new system that balances the two.
Spreading the word: exploring spiritual consumption on social media
Authors: Williams Janine , Krisjanous Jayne 
Published: January 2023

Purpose
The rapidly increasing practice of “sharing” and “liking” religious and spiritually inspiring content on social media platforms suggests it is engaging for consumers, but it is unclear why. This study aims to investigate consumer interpretations of spiritual content on social media in relation to participatory roles.

Design/methodology/approach
Qualitative in-depth interviews and thematic analysis are used. Members of social networks actively engaged in social media posting were identified through researcher networks and snowballing.

Findings
The social media space facilitates enhanced consumer agency in the consumption of spiritual messages which are readily accessible in this secular context. Three levels of interpretive meaning for consumers, conditional on the perceived sender motivations and temporality of receipt and related to participatory roles are identified. Despite being widely disseminated and immersed in the profane, some participants receive spiritual inspiration, which helps them achieve self-transcendence. Others receive inspiration through affirmation of their values and identity; however for a few, inspirational messages are met with scepticism and are not meaningful. Social media facilitates consumers’ ability to provide others with positive inspiration, however, this is not always their intent.

Originality/value
This work contributes unique insight regarding consumption of spirituality in a social media environment highlighting the importance of sender mediation and temporal context with implications for spiritual meaning and online engagement with spiritual content. A unique typology relating interpretive meaning to participatory roles is presented.
The financial market's ability to forecast economic growth: information from sectoral movements
Authors: Marfatia Hardik 
Published: January 2023

PurposeFinancial market holds superior information that can give insights into the future trajectory of economic growth. Further, identifying sectors that hold the key to future economic growth is important for all economies, but particularly relevant to emerging markets. However, unlike existing studies, the paper provides new insights into the forward-oriented nexus between financial markets and economic growth.Design/methodology/approachThis paper takes a forward-looking approach of using financial market information to predict future economic growth. The authors use ARDL modeling approach to predict economic growth using the information from stock market sectoral returns.FindingsThe authors find that sectoral stock returns significantly improve economic growth forecasts. However, the forecasting superiority is not uniform across sectors and horizons. Auto, consumers' spending, materials and realty sectors provide the most forecasting gains. In contrast, banking, capital goods and industrial sectors provide superior forecasts, but only at horizons beyond one year. The authors also find that the forecast superiority of sectors at longer horizons is inversely related to volatility.Research limitations/implicationsResearch highlights the need for sector-focused policy actions in driving economic growth. Further, the findings of the paper identify sectors that drive short-, medium- and long-term economic growth.Practical implicationsThere is a significant heterogeneity among different sectors and across horizons in predicting economic growth. Results suggest that targeted policy actions in sectors like materials, metals, oil and gas, and realty are key in driving economic growth. Further, policies geared toward the grassroots industries are at least as beneficial as the large-scale industries. Evidence also suggests the need for an active fiscal policy to address infrastructural bottlenecks in primary industries like basic materials and energy. Evidence nevertheless does not undermine the role of monetary policy actions.Originality/valueUnlike any paper till date, the innovation of the paper is that it takes an ARDL modeling approach to measure stock market sectoral returns' ability to forecast economic growth several months ahead in the future. Though the paper considers the Indian case, the innovation and contribution extents to the entire field of economic studies.
Working in times of COVID-19: investigating the effect of daily risk perception of COVID-19 infection on goal progress
Authors: Seo Donghun , Mah Sunghyuck , Yoo Sophia Miri , Oh Minju , Kim Byung-Im , Lee Jeong-Yeon , Yun Seokhwa 
Published: January 2023

PurposeBased on the transactional theory of stress and coping, this study aims to understand the daily impact of coronavirus disease 2019 (COVID-19) on employee goal progress. In particular, the authors explore how COVID-19 induces anxiety related to task setbacks that consequently influences one's goal progress.Design/methodology/approachA daily diary study was conducted with a total of 558 observations from 60 participants. The data were analyzed using multilevel path analysis with random slopes.FindingsThe perceived risk of COVID-19 infection was positively associated with COVID-19 task setback anxiety, which in turn improved end-of-day goal progress. Lower employee conscientiousness strengthened the relationship between perceived risk of COVID-19 infection and COVID-19 task setback anxiety, and lower supervisor bottom-line mentality strengthened the relationship between COVID-19 task setback anxiety and end-of-day goal progress.Practical implicationsAlthough COVID-19 task setback anxiety results in higher end-of-day goal progress, the authors recommend caution as the cost of coping exists. Thus, supervisors should focus on supporting the employees rather than having a bottom-line mentality.Originality/valueThis study advances stress and coping literature by examining how employees appraise and cope with COVID-19 in work context. The authors demonstrate that a perceived risk of COVID-19 induces task setbacks related to anticipatory anxiety, which in turn influences employee outcomes. In addition, the authors identify employee conscientiousness and supervisor bottom-line mentality as a boundary condition of this process.
Exploring how organizational performance feedback influences corporate social responsibility (CSR): the moderating role of LGBT inclusion
Authors: Kotiloglu Serhan 
Published: January 2023

PurposeCorporate social responsibility (CSR) captures organizational actions that account for economic, social and environmental performance. CSR is becoming increasingly relevant for organizations because of changing societal norms and attitudes. Prior research on CSR shows that socially responsible actions are beneficial for the firm and the society. However, much less is known about the antecedents of CSR. The authors suggest that CSR is a strategic organizational decision and use organizational performance feedback theory to explain how organizations decide on CSR activities.Design/methodology/approachUsing a longitudinal sample of 189 US public firms with 1,050 observations, the authors test how performance decreases below aspirations and performance increases above aspirations influence CSR. The authors also test for the moderation effect of LGBT inclusion on these relationships as a proxy for CSR consistency and stakeholder support.FindingsThe authors find that as organizational performance decreases further below aspirations, CSR increases and LGBT inclusion strengthens this increase. The authors also find that as performance increases above aspirations, organizations become more engaged in CSR, but LGBT inclusion does not moderate this relationship.Originality/valuePrior research recently started extending the performance feedback theory to CSR, but empirical findings on the relationships between performance feedback and CSR are seemingly inconclusive. Moreover, studies had primarily focused on performance below aspirations and to a much lesser extent on performance above aspirations. This study aims to better integrate organizational performance feedback theory to the CSR discourse.
Modelling the drivers of data science techniques for real estate professionals in the fourth industrial revolution era
Authors: Osunsanmi Temidayo Oluwasola , Olawumi Timothy O. , Smith Andrew , Jaradat Suha , Aigbavboa Clinton , Aliu John , Oke Ayodeji , Ajayi Oluwaseyi , Oyeyipo Opeyemi 
Published: January 2023

PurposeThe study aims to develop a model that supports the application of data science techniques for real estate professionals in the fourth industrial revolution (4IR) era. The present 4IR era gave birth to big data sets and is beyond real estate professionals' analysis techniques. This has led to a situation where most real estate professionals rely on their intuition while neglecting a rigorous analysis for real estate investment appraisals. The heavy reliance on their intuition has been responsible for the under-performance of real estate investment, especially in Africa.Design/methodology/approachThis study utilised a survey questionnaire to randomly source data from real estate professionals. The questionnaire was analysed using a combination of Statistical package for social science (SPSS) V24 and Analysis of a Moment Structures (AMOS) graphics V27 software. Exploratory factor analysis was employed to break down the variables (drivers) into meaningful dimensions helpful in developing the conceptual framework. The framework was validated using covariance-based structural equation modelling. The model was validated using fit indices like discriminant validity, standardised root mean square (SRMR), comparative fit index (CFI), Normed Fit Index (NFI), etc.FindingsThe model revealed that an inclusive educational system, decentralised real estate market and data management system are the major drivers for applying data science techniques to real estate professionals. Also, real estate professionals' application of the drivers will guarantee an effective data analysis of real estate investments.Originality/valueNumerous studies have clamoured for adopting data science techniques for real estate professionals. There is a lack of studies on the drivers that will guarantee the successful adoption of data science techniques. A modern form of data analysis for real estate professionals was also proposed in the study.
On the interdependencies between mortgage, credit card and auto loans delinquency rates: evidence from the US states plus the District of Columbia
Authors: Fuinhas José Alberto , Silva Nuno , Duarte Joshua 
Published: January 2023

Purpose
This study aims to explain how delinquency shocks in one type of debt contaminate the others. That is, the authors aim to shed light on the time pattern of delinquencies in different debt types.

Design/methodology/approach
This study analyzes the interdependencies between mortgage, credit card and auto loans delinquency rates in the USA from 2003 to 2019, using a panel VAR-X, the panel Granger causality tests and the Geweke linear dependence measures. The authors also compute the impulse response functions of a shock to one kind of debt on the others and decompose the variance of the forecast errors.

Findings
The authors find a statistically significant bidirectional Granger causality between the delinquencies. The Geweke measures of linear dependence and the Dumitrescu and Hurlin Granger non-causality tests support that mortgage predominantly causes credit card and auto loan delinquencies. Auto loans also cause credit card delinquencies. The impulse response functions confirm this pattern. This scenario aligns with a sequence where debtors consider rational first to default on credit cards, second on auto loans and only on mortgages in the last instance. Indeed, credit card delinquencies Granger-cause delinquencies in other debts when it occurs.

Originality/value
To the best of the authors’ knowledge, this is the first study to focus on the temporal pattern of delinquency rates for all the US states, using panel data. Furthermore, the results call for policymakers to design regulations to break the transmission channel from debt delinquencies.
National traditional festival tourism and visitors’ national identity: a dual collaborative framework of cultural inheritance and inherited innovation
Authors: Deng Fang , Ruan Wen-Qi , Zhang Shu-Ning 
Published: January 2023

PurposeThis study aims to explore and clarify the role of national traditional festival tourism in cultivating national identity (NI) and confirm its construction model.Design/methodology/approachBased on social identity theory and complexity theory, a complex nurturing framework for visitors’ NI is developed. The paper with 479 samples used fuzzy-set qualitative comparative analysis to analyse NI from the holistic perspective of “cultural inheritance” (festival authenticity [FA], historical re-enactment [HR] and cultural experience [CE]) and “inherited innovation” (event design innovation [EDI], cultural innovation [CUI], aesthetic innovation [AI] and creative innovation [CRI]).FindingsThe findings indicated three driving modes of forming NI: cultural inheritance-led, inherited innovation-led and the dual coordination of cultural inheritance and inherited innovation. FA, HR, CE, AI and CRI are core incentives, whereas event design and CUI are AI.Practical implicationsThe findings provide directions for strengthening visitors’ national emotion, which has significant value for the development of traditional festival tourism.Originality/valueThe study offers a new perspective for the cultivation of NI in the tourism context and provides theoretical guidance for the coordinated development of cultural inheritance and inherited innovation in national traditional festival tourism destinations.
DsrCis involved in fermentative growth and interacts directly with theFlxABCD–HdrABCcomplex inDesulfovibrio vulgarisHildenborough
Authors: Ferreira Delfim , Venceslau Sofia S. , Bernardino Raquel , Preto André , Zhang Lichun , Waldbauer Jacob R. , Leavitt William D. , Pereira Inês A. C. 
Published: January 2023

AbstractDsrC is a key protein in dissimilatory sulfur metabolism, where it works as co‐substrate of the dissimilatory sulfite reductase DsrAB. DsrC has two conserved cysteines in a C‐terminal arm that are converted to a trisulfide upon reduction of sulfite. In sulfate‐reducing bacteria, DsrC is essential and previous works suggested additional functions beyond sulfite reduction. Here, we studied whether DsrC also plays a role during fermentative growth ofDesulfovibrio vulgarisHildenborough, by studying two strains where the functionality of DsrC is impaired by a lower level of expression (IPFG07) and additionally by the absence of one conserved Cys (IPFG09). Growth studies coupled with metabolite and proteomic analyses reveal that fermentation leads to lower levels of DsrC, but impairment of its function results in reduced growth by fermentation and a shift towards more fermentative metabolism during sulfate respiration. In both respiratory and fermentative conditions, there is increased abundance of the FlxABCD–HdrABC complex and Adh alcohol dehydrogenase in IPFG09 versus the wild type, which is reflected in higher production of ethanol. Pull‐down experiments confirmed a direct interaction between DsrC and the FlxABCD–HdrABC complex, through the HdrB subunit. Dissimilatory sulfur metabolism, where sulfur compounds are used for energy generation, is a key process in the ecology of anoxic environments, and is more widespread among bacteria than previously believed. Two central proteins for this type of metabolism are DsrAB dissimilatory sulfite reductase and its co‐substrate DsrC. Using physiological, proteomic and biochemical studies ofDesulfovibrio vulgarisHildenborough and mutants affected in DsrC functionality, we show that DsrC is also relevant for fermentative growth of this model organism and that it interacts directly with the soluble FlxABCD‐HdrABC complex that links the NAD(H) pool with dissimilatory sulfite reduction.
Overcoming data barriers in spatial agri‐food systems analysis: A flexible imputation framework
Authors: Yi Jing , Cohen Samantha , Rehkamp Sarah , Canning Patrick , Gómez Miguel I. , Ge Houtian 
Published: January 2023

AbstractSuppressions in public data severely limit the usefulness of spatial data and hinder research applications. In this context, data imputation is necessary to deal with suppressed values. We present and validate a flexible data imputation method that can aid in the completion of under‐determined data systems. The validations use Monte Carlo and optimisation modelling techniques to recover suppressed data tables from the 2017 US Census of Agriculture. We then use econometric models to evaluate the accuracy of imputations from alternative models. Various metrics of forecast accuracy (i.e., MAPE, BIC, etc.) show the flexibility and capacity of this approach to accurately recover suppressed data. To illustrate the value of our method, we compare the livestock water withdrawal estimations with imputed data and suppressed data to show the bias in research applications when suppressions are simply dropped from analysis.
Intrathecal injection of methotrexate combined with dexamethasone for Cogan's syndrome with neurological involvement: A case report and literature review
Authors: Hu Jiarui , Du Hongjia , Su Jiang , Wu Tong , Wu Rui , Zhu Jing 
Published: January 2023

AbstractCogan's syndrome (CS) is a rare autoimmune disease in which approximately 10%–13% of people with the condition develop neurological symptoms. While glucocorticoids are the standard of care for patients with CS, disease‐modifying anti‐rheumatic drugs (DMARDs) and biologics agents are more widely used to treat the systemic and vestibular auditory manifestations of CS. Herein, we report a rare case of CS with central nervous system damage who failed to respond to systemic use of glucocorticoids and DMARDs. However, his symptoms were successfully improved by intrathecal injection of methotrexate (MTX) and dexamethasone. To our knowledge, the use of intrathecal injections of MTX and dexamethasone to treat CS has not been reported in any literature. Therefore, the present case may provide a new idea for clinicians to treat central nervous system symptoms in patients with CS.
Characteristics of intussusception among children in Hokkaido, Japan, during the pre‐ and post‐rotavirus vaccine eras (2007–2016)
Authors: Fukuda Yuya , Akane Yusuke , Honjo Saho , Kawasaki Yukihiko , Tsutsumi Hiroyuki , Tsugawa Takeshi 
Published: January 2023

AbstractAimTo analyse the epidemiology of intussusception in Hokkaido Prefecture, Japan during a 10‐year period spanning the introduction of the rotavirus (RV) vaccine (2007–2016).MethodsUsing a standard questionnaire, a retrospective surveillance was conducted across 17 hospitals with paediatric beds in Hokkaido Prefecture. We compared the data between the pre‐vaccine era (2007–2011) and post‐vaccine era (2012–2016).ResultsIn total, 208 and 110 intussusception cases were in the pre‐ and post‐vaccine eras, respectively. A significant reduction of the intussusception incidence in children aged <1 year was observed from the pre‐ to the post‐vaccine era (102.4–56.5 per 100 000 infants; incidence rate ratio, 0.55; p = 0.004). There was a relatively high‐positive RV antigen detection rate (29.4%, 5/17) during the RV epidemic period in Japan (March–May) in the pre‐vaccine era. None of the intussusception cases in the 31 patients with a history of RV vaccination occurred within 1 month after the administration of an RV vaccine dose.ConclusionsThe incidence of intussusception in children aged <1 year decreased significantly after RV vaccine introduction in Japan. Another survey is needed to determine how the incidence of intussusception has changed further since the introduction of routine RV vaccination in 2020.