bluuebunny/crossref_metadata_2025_split huggingface dataset:
Firesetting among 18-23 year old un-apprehended adults: a UK community study
Authors: Barrowcliffe Emma R. , Tyler Nichola , Gannon Theresa A. 
Published: January 2022

Purpose
This study aims to assess the prevalence of firesetting in a sample of young UK adults aged 18 to 23 years and to compare their characteristics with non-firesetting individuals.

Design/methodology/approach
Two-hundred and forty male (n = 119, 49.6%) and female (n = 121, 50.4%) participants were recruited through Prolific Academic. Comparisons were made between self-reported firesetting and non-firesetting participants on a range of demographic, fire-related and personality measures. Factors predictive of firesetting status were examined using hierarchical logistic regression.

Findings
Twenty-five percent of participants (n = 60) reported igniting a deliberate fire. Logistic regression was used to examine the ability of parental supervision and behavioural issues (e.g., witnessing domestic violence, experimenting with fire before age 10 and family history of firesetting), antisocial behaviours (e.g., having criminal friends, impulsivity, teenage access to fire paraphernalia, skipping class more than once per week, taken any illegal drugs and participation in criminal behaviour) and fire-related interests, attitudes and propensities in predicting firesetting status. Factors found to distinguish firesetting and non-firesetting participants included the following: experimented with fire before 10 years of age, family history of firesetting, impulsivity, teenage access to fire paraphernalia, participation in criminal behaviour and the Fire Setting Scale.

Practical implications
The results provide key information about potential risk factors relating to un-apprehended firesetting in the general population.

Originality/value
This research adds to the small body of literature examining firesetting in the general population. It refines previously used methodologies, presents the first research study to examine the prevalence of firesetting behaviour in emerging adults and enhances our understanding of un-apprehended firesetting.
Effect of institutional context and finance context of housing finance on home ownership among low-income earners in Bauchi
Authors: Gambo Moses Jonathan 
Published: January 2022

Purpose
The purpose of this paper is to evaluate the effects of housing finance institutional and financial context on beneficiaries’ context to low income earners in Bauchi Local Government Area, Bauchi, Nigeria

Design/methodology/approach
This paper adopted a quantitative research approach. Self-administered structured questionnaires were used to collect information from 357 primary school teachers in Bauchi Local Government Area, Bauchi, Nigeria. Partial least squares-structural equation modeling was used to analyze the data collected using SmartPLS 2 software

Findings
This study revealed that effectiveness of financial institutions and their performance has significant positive causal effect on low income earners housing ownership context, which shows that performance and effectiveness of the housing finance institutions is vital to housing ownership for the low income earners in the study area. Thus, performance of housing finance institutions and their effectiveness has direct effects on low income earners housing ownership through finance affordability

Practical implications
The prime consumer of these research findings are the financial institutions, this will make them bulk up in terms of their performance and effectiveness toward housing finance accessibility and affordability to the low income earners such as the primary school teachers in the study area.

Originality/value
This paper used the technology organization environment theory, which is a multi-perspective theory to evaluate the concepts of institutional, finance and beneficiaries context with respect to housing finance in Bauchi by conceptualizing institutional context as effectiveness and performance, finance context as affordability and accessibility and beneficiaries context as ownership.
Corporate cash holdings and disclosure violations: an empirical investigation of Jordanian listed companies
Authors: Alsmadi Safaa , Alkhataybeh Ahmad , Shakhatreh Mohammad Ziad 
Published: January 2022

Purpose
This study aims to examine the impact of low-quality financial statements; that is, disclosure violations reported by the Securities Exchange Commission related to the level of cash holdings (CH) of firms listed on the Amman Stock Exchange (ASE).

Design/methodology/approach
Using panel data from 107 ASE-listed companies from 2009 to 2018, the study uses generalized method of moment estimation to examine the research hypothesis. This study hypothesize that disclosure violations can affect the level of CH and control for several variables that affect this level.

Findings
The results show that disclosure violations significantly affect the level of CH and that cash flow, capital expenditure and debt issues have a significantly positive impact on corporate CH. On the other hand, the market to book ratio and sales growth were found to be insignificant.

Research limitations/implications
The limitations of the research include the fact that information on research and development and equity issues were not available, so were not included in the examination.

Practical implications
It is recommended that managers enhance the quality of disclosures since this allows them to hold lower levels of cash and exploit more investment opportunities. Policymakers are recommended to supervise firm disclosures closely and create ratings for disclosure quality.

Originality/value
To the best of the author’s knowledge, this is the first empirical research on the association between proven low-quality disclosures and the level of corporate CH among Jordanian listed companies.
The impact of marginalization on entrepreneurs’ online presence and firm performance
Authors: Fuller Nicole R. , Porter McDowell , Kemp Elyria A. 
Published: January 2022

PurposeThis study aims to examine the relationship between marginalization, Web presence and firm performance for small- and medium-sized enterprises (SMEs).Design/methodology/approachThis study relies upon interviews and surveys of managers and/or owners of SMEs. Using confirmatory factor analysis and structural equation modeling, the authors tested an integrated model of the relationship between marginalization, Web presence and firm performance.FindingsFindings indicate that marginalization enhances the risk perceptions entrepreneurs assign to internet use. This enhanced risk perception then limits the extent to which an entrepreneur responds to online customer feedback, which has implications for the SME’s relationship and reputation management efforts with buyers, ultimately impacting the enterprise’s performance.Originality/valueThis study sheds light on the overlooked phenomena of marginalization and internet avoidance among entrepreneurs. The findings provide insight for entrepreneurs on the deleterious consequences associated with lacking an online presence.
The co-evolution of remote work and expectations in a COVID-19 world utilizing an expectation disconfirmation theory lens
Authors: Carraher-Wolverton Colleen 
Published: January 2022

PurposeAs researchers are being called to examine the evolving technology research issues for COVID-19 and other pandemics, remote work has been accelerated and represents the future of work. Although it is known that one of the top forces shaping the future of work is changing employee expectations, the knowledge of remote work during a pandemic remains scant. Thus, this paper aims to determine the impact of remote worker’s expectations on their level of satisfaction and intention to continue to work remotely.Design/methodology/approachUsing one of the prominent theories on expectations, Expectation Disconfirmation Theory (EDT), the authors conduct an online survey of 146 individuals who are currently working remotely.FindingsBy applying EDT, the findings demonstrate that an individual’s expectations regarding remote work impact their level of satisfaction with remote work and intention to continue to work remotely. Incorporating extant research, the findings extend the research stream to indicate that employees’ expectations about remote work significantly impact both their level of satisfaction and level of productivity.Originality/valueThe discussion elucidates the significance of understanding employee expectations regarding remote work in the evolving new normal. The findings from the study demonstrate the importance of an individual’s expectations regarding remote work on their level of satisfaction with remote work and intention to continue to work remotely. Thus, this study fills a gap in the literature by applying EDT to the remote work context.
Examination of fake news from a viral perspective: an interplay of emotions, resonance, and sentiments
Authors: Nanath Krishnadas , Kaitheri Supriya , Malik Sonia , Mustafa Shahid 
Published: January 2022

PurposeThe purpose of this paper is to examine the factors that significantly affect the prediction of fake news from the virality theory perspective. The paper looks at a mix of emotion-driven content, sentimental resonance, topic modeling and linguistic features of news articles to predict the probability of fake news.Design/methodology/approachA data set of over 12,000 articles was chosen to develop a model for fake news detection. Machine learning algorithms and natural language processing techniques were used to handle big data with efficiency. Lexicon-based emotion analysis provided eight kinds of emotions used in the article text. The cluster of topics was extracted using topic modeling (five topics), while sentiment analysis provided the resonance between the title and the text. Linguistic features were added to the coding outcomes to develop a logistic regression predictive model for testing the significant variables. Other machine learning algorithms were also executed and compared.FindingsThe results revealed that positive emotions in a text lower the probability of news being fake. It was also found that sensational content like illegal activities and crime-related content were associated with fake news. The news title and the text exhibiting similar sentiments were found to be having lower chances of being fake. News titles with more words and content with fewer words were found to impact fake news detection significantly.Practical implicationsSeveral systems and social media platforms today are trying to implement fake news detection methods to filter the content. This research provides exciting parameters from a viral theory perspective that could help develop automated fake news detectors.Originality/valueWhile several studies have explored fake news detection, this study uses a new perspective on viral theory. It also introduces new parameters like sentimental resonance that could help predict fake news. This study deals with an extensive data set and uses advanced natural language processing to automate the coding techniques in developing the prediction model.
Innovation models and interdisciplinarity in science, technology and innovation policy in Costa Rica
Authors: Soto Kiewit Luis Diego , Vienni Baptista Bianca 
Published: January 2022

Purpose
This paper aims to analyse innovation models and interdisciplinarity in science, technology and innovation (STI) policy in Costa Rica between 2015 and 2021. The core focus is to evaluate the public policy in light of the groundwork that sustains the designed and proposed actions.

Design/methodology/approach
The authors applied a qualitative approach to build a set of dimensions and conducted content-analysis of selected documents. The analysis encompasses all current STI public policy documents in Costa Rica, including the planning instruments of the Central Government and the National Policy on STI.

Findings
The main findings show that STI policy in Costa Rica is based on different innovation models, but the projects and instruments themselves show the predominance of the reductionist model. Innovation receives a residual role. In turn, interdisciplinarity is based on the concept of convergence, which limits disciplinary collaboration to the natural, physical and engineering sciences, minimising contributions from other fields of knowledge to an instrumental role in innovation processes.

Practical implications
The authors conclude that the interlinkage between open innovation models, the participation of diverse societal actors and the inclusion of an interdisciplinary perspective leads to inclusive and more democratic public policy, allowing more sectors and organisations to benefit from innovation processes. This would imply a greater reach and impact of the policy, conditions that translate into innovation achievements and a better return on public investment.

Originality/value
This paper contributes to current discussions on STI policy by studying the implications of the link among policies, innovation models and interdisciplinarity.
Multi-criteria decision analysis for pharmaceutical supplier selection problem using fuzzy TOPSIS
Authors: Modibbo Umar Muhammad , Hassan Musa , Ahmed Aquil , Ali Irfan 
Published: January 2022

PurposeSupplier selection in the supply chain network (SCN) has strategic importance and involves multiple factors. The multi-criteria nature of the problem coupled with environmental uncertainty requires several procedures and considerations. The issue of decision-making in selecting the best among various qualified suppliers remains the major challenge in the pharmaceutical industry. This study investigated the multi-criteria multi-supplier decision-making process and proposed a model for supplier selection problems based on mixed-integer linear programming.Design/methodology/approachThe concept of principal component analysis (PCA) was used to reduce data dimensionality, and the four best criteria have been considered and selected. The result is subjected to decision-makers’ (DMs’) reliability test using the concept of a triangular fuzzy number (TFN). The importance of each supplier to each measure is established using fuzzy technique for order preference by similarity to an ideal solution approach, and the suppliers have ranked accordingly.FindingsThis study proposes a mixed integer linear programming model for supplier selection in a pharmaceutical company. The effectiveness of the proposed model has been demonstrated using a numerical example. The solution shows the model's applicability in making a sound decision in pharmaceutical companies in the space of reality. The model proposed is simple. Readily commercial packages such as LINDO/LINGO and GAMS can solve the model.Research limitations/implicationsThis research contributed to the systematic manner of supplier selection considering DMs’ value judgement under a fuzzy environment and is limited to the case study area. However, interested researchers can apply the study in other related manufacturing industries. However, the criteria have to be revisited to suit that system and might require varying ratings based on the experts' opinions in that field.Practical implicationsThis work suggests more insights practically by considering a realistic and precise investigation based on a real-life case study of pharmaceutical companies with six primary criteria and twenty-four sub-criteria. The study outcome will assist organizations and managers in conducting the best decision objectively by selecting the best suppliers with their various standards and terms among many available contenders in the manufacturing industry.Originality/valueIn this paper, the authors attempted to identify the most critical attributes to be preserved by the top managers (DMs) while selecting suppliers in pharmaceutical companies. The study proposed an MILP model for supplier selection in the pharmaceutical company using fuzzy TOPSIS.
Antecedents of organizational identification: implications for employee performance
Authors: Kazmi Syeda Wajiha , Javaid Syeda Tuba 
Published: January 2022

Purpose
This study aims to investigate the impact of three determinants of organizational identification (OID) on employee performance (EP) in the context of private business institutions.

Design/methodology/approach
A sample of 175 permanent faculty members from four top universities in Karachi, Pakistan, was interviewed using a five-point Likert scale questionnaire. The data were inserted in SPSS 22 and SmartPLS v 3.2 for performing the analysis.

Findings
Results of the study showed a significant effect in perceived supervisor support on OID; OID; job satisfaction and EP; and mediating relationship. Conversely, an insignificant effect was observed in workplace incivility.

Research limitations/implications
It is highly recommended that organizations work on the areas that lead to enhancing their employees’ performance. Also, human resource should create a healthy culture that promotes initiatives, open-door policies and discourages power distance. Lastly, one of the key responsibilities of management is to strengthen their OID because employees are more likely to identify with their supervisors if they invest in the organizations they work for.

Practical implications
This study will help strengthen the relationship between supervisors and university employees. It will guide the supervisors to acknowledge and appreciate the efforts of their subordinates and develop recreational policies and employee engagement activities. In addition, it will help develop a conducive environment and enhance the quality of education in the university and the society.

Originality/value
Understanding the determinants of OID on EP in the educational context is very important as it enhances the quality of EP and the overall quality of education of the institution.
Detection of structural regimes and analyzing the impact of crude oil market on Canadian stock market: Markov regime-switching approach
Authors: Mahmoudi Mohammadreza , Ghaneei Hana 
Published: January 2022

PurposeThis study aims to analyze the impact of the crude oil market on the Toronto Stock Exchange Index (TSX).Design/methodology/approachThe focus is on detecting nonlinear relationship based on monthly data from 1970 to 2021 using Markov-switching vector auto regression (VAR) model.FindingsThe results indicate that TSX return contains two regimes: positive return (Regime 1), when growth rate of stock index is positive; and negative return (Regime 2), when growth rate of stock index is negative. Moreover, Regime 1 is more volatile than Regime 2. The findings also show the crude oil market has a negative effect on the stock market in Regime 1, while it has a positive effect on the stock market in Regime 2. In addition, the authors can see this effect in Regime 1 more significantly in comparison to Regime 2. Furthermore, two-period lag of oil price decreases stock return in Regime 1, while it increases stock return in Regime 2.Originality/valueThis study aims to address the effect of oil market fluctuation on TSX index using Markov-switching approach and capture the nonlinearities between them. To the best of the author’s knowledge, this is the first study to assess the effect of the oil market on TSX in different regimes using Markov-switching VAR model. Because Canada is the sixth-largest producer and exporter of oil in the world as well as the TSX as the Canada’s main stock exchange is the tenth-largest stock exchange in the world by market capitalization, this paper’s framework to analyze a nonlinear relationship between oil market and the stock market of Canada helps stock market players like policymakers, institutional investors and private investors to get a better understanding of the real world.
Influence of the soldering paste type on optical and thermal parameters of LED modules
Authors: Górecki Krzysztof , Ptak Przemysław , Dziurdzia Barbara 
Published: January 2022

Purpose
This paper presents the results of the investigations of LED modules soldered with the use of different soldering pastes.

Design/methodology/approach
The tested power LED modules are soldered using different solder pastes and soldering processes. Thermal parameters of the performed modules are tested using indirect electrical methods. The results of measurements obtained for different modules are compared and discussed.

Findings
It was shown that the soldering process visibly influences the results of measurements of optical and thermal parameters of LED modules. For example, values of thermal resistance of these modules and the efficiency of conversion of electrical energy into light differ between each other even by 15%.

Practical implications
The obtained results of investigations can be usable for designers of the assembly process of power LED modules.

Originality/value
This paper shows the investigations results in the area of effective assembly of power LEDs to the metal core printed circuit board (MCPCB) using different soldering pastes (REL22, REL61, LMPA-Q6, OM-5100, OM-338-PT, M8, OM-340, CVP-390). It was shown that the best thermal and optical properties of these modules are obtained for the OM5100 paste by Alpha Assembly.
Genetic variation in leaf traits and gas exchange responses to vapour pressure deficit in contrasting conifer species
Authors: Wei Xiaojing , Benowicz Andy , Sebastian‐Azcona Jaime , Thomas Barb R. 
Published: January 2022

Abstract

Mechanistically predicting the evolutionary response of tree species to climate change requires an understanding of genetic variation in relevant traits. Here we compared the phenotypic and genetic variation in the Leaf Economics Spectrum (LES) traits and the response of gas exchange to vapour pressure deficit (VPD) in lodgepole pine (Pico) and white spruce (Pigl), an early and a late successional species dominating the boreal forests of western Canada.

We measured gas exchange, foliar nitrogen and lamina mass to area ratio in 697 c. 30‐year‐old trees in two field progeny trials. We analysed the response of gas exchange rates to VPD using a novel quantitative genetic model, the function‐valued trait approach.

Pico showed greater phenotypic variation in the LES traits and greater genetic variation in photosynthetic rate than Pigl, but the species showed no significant difference in their phenotypic correlations between the LES traits. Pico showed a less sensitive stomatal response to VPD than Pigl and no significant genetic variation in stomatal sensitivity. In contrast, Pigl showed a positive correlation between the genetic values of stomatal sensitivity to VPD and stomatal conductance under low VPD.

Our study region is projected to see an increase in VPD with climate change; the less sensitive and genetically diverse stomatal response to VPD in Pico could make this species more vulnerable to climate‐change‐induced droughts.

A free Plain Language Summary can be found within the Supporting Information of this article.
Testing the triple deficit hypothesis for sub‐Saharan Africa: Implications for the African Continental Free Trade Area
Authors: Okafor Samson Nonso , Ekesiobi Chukwunonso , Ifebi Ogonna , Dimnwobi Stephen Kelechi , Asongu Simplice A. 
Published: January 2022

AbstractAware of the nature of deficits in the current account, fiscal account, and the financial account balances of the countries in the sub‐Saharan Africa (SSA) region, this inquiry assessed the relationship between these deficits and the implication of such relationship for the African Continental Free Trade Area (AfCFTA). To do this, the study adopted panel data analysis techniques using the pooled mean group‐autoregressive distributed lag (PMG‐ARDL) specifications to test for the triple deficit hypothesis (TDH) in the region. The findings of the study revealed the presence of the TDH in SSA where bidirectional causality exists between current account balance and budget balance, and between saving gap and current account balance, with a unidirectional causality running from budget balance to saving gap. The adoption of sound fiscal, monetary, and trade interventions in the region constitutes the major policy recommendations.