bluuebunny/crossref_metadata_2025_split huggingface dataset:
The association between subjective job insecurity and job performance across different employment groups
Authors: van Vuuren Tinka , de Jong Jeroen P. , Smulders Peter G.W. 
Published: December 2019

PurposeThe purpose of this paper is to test the relationship between subjective job insecurity and self-rated job performance, and to assess how this association is different across different employment groups.Design/methodology/approachThe authors used a data set owned by TNO and Statistics Netherlands of more than 89,000 Dutch workers and self-employed that is a representative sample of the Dutch workforce. The authors included data from 2014 and 2016 assessing subjective job insecurity in terms of “a concern about the future of one’s job/business” and self-rated job performance.FindingsThe effect size of the association between subjective job insecurity and self-rated job performance is small. For temporary agency workers and on-call workers, the association between subjective job insecurity and job performance is weaker compared to permanent workers and fixed-term workers. However for self-employed workers with and without employees, however, the relation between subjective job insecurity and job performance is stronger compared to permanent workers.Research limitations/implicationsThe biggest limitation is the cross-sectional design of the study, which limits conclusions about causality.Practical implicationsThe finding that subjective job insecurity goes together with less work performance shows that job insecurity has no upside for the productivity of companies.Originality/valueThe study provides a deeper understanding of the relationship between subjective job insecurity and self-rated job performance on a national level.
Mind your attitude: the impact of patriarchy on women’s workplace behaviour
Authors: Adisa Toyin Ajibade , Cooke Fang Lee , Iwowo Vanessa 
Published: December 2019

Purpose
By conceptualising patriarchy in the workplace as a social situation, the purpose of this paper is to examine the prevalence of patriarchal attitudes and their impact on women’s workplace behaviour among Nigerian organisations.

Design/methodology/approach
The study uses a qualitative research approach, drawing on data from 32 semi-structured interviews with female employees and managers in two high-street banks in Nigeria.

Findings
The study finds that patriarchy shapes women’s behaviour in ways that undermine their performance and organisational citizenship behaviour (OCB). Furthermore, the study finds that patriarchal attitudes, often practised at home, are frequently transferred to organisational settings. This transference affects women’s workplace behaviour and maintains men’s (self-perceived) superior status quo, whereby women are dominated, discriminated against and permanently placed in inferior positions.

Research limitations/implications
The extent to which the findings of this research can be generalised is constrained by the limited sample and scope of the research.

Practical implications
The challenges posed by the strong patriarchy on women’s workplace behaviour are real and complex, and organisations must address them in order to create a fairer workplace in which employees can thrive. It is therefore essential for organisations to examine periodically their culture to ensure that all employees, regardless of gender, are involved in the organisation’s affairs. Furthermore, organisations need to help women become more proactive in combating patriarchal behaviour, which often affects their performance and OCB. This requires organisations to affirm consistently their equal opportunities, equal rights and equal treatment policies. It is essential that organisations take this problem seriously by attaching due penalty to gender discrimination, as this will go a long way in ensuring positive outcomes for women and providing a fairer workplace.

Originality/value
This study provides empirical evidence that a more egalitarian work environment (in Nigerian banking) will result in improved performance from female employees and organisations. It calls for greater policy and organisational interventions to create a more inclusive work environment and an equal society.
Herding behaviour and Islamic market efficiency assessment: case of Dow Jones and Sukuk market
Authors: Mnif Emna , Salhi Bassem , Jarboui Anis 
Published: December 2019

Purpose
The purpose of this paper is to present the Islamic stock and Sukuk market efficiency and focus on the presence of investor herding behaviour (HB) captured by Hurst exponent estimation.

Design/methodology/approach
The Hurst exponent was estimated with various methods. The authors studied the evolving efficiency of the “Dow Jones” indices from 1 January 2010 to 30 December 2016 using a rolling sample of the Hurst exponent. In addition, they used a time-varying parameter method based on the Hurst of delayed returns. After that, the robust Hurst method was considered. In the next step, the efficiency of the different activity types of Islamic bonds was studied using an efficiency index. Finally, the Hurst exponent estimates were applied to assess the presence of HB.

Findings
The results show that, firstly, there’s a strong correlation between the “DJIM” and “DJSI” prices and returns. Secondly, by using robust Hurst estimate, it is observed that the “DJIM” is the most efficient market. The Hurst exponent estimation results show that HB is more intensive in the Islamic stock market. These results indicate also the inexistence of this behaviour in the studied Sukuk market.

Research limitations/implications
Sukuk as Islamic financial assets is recent. Their relative time series are not long enough to apply the long memory approach. Furthermore, this work can be extended to study other Islamic financial markets.

Practical implications
Herding affects risk-return characteristics of assets and has an impact on asset pricing models. Practitioners are interested in understanding herding and its timing as it might create profitable trading opportunities.

Social implications
This work analyses the impact of Islamic principles on the financial markets and their ability to understand some behavioural biases.

Originality/value
This study contributes to the literature by identifying the efficiency and the presence of HB with Hurst exponent estimation in Islamic markets.
Logistical aspects when coping with non-pandemic biological terror attack
Authors: Talmor Irit 
Published: December 2019

Purpose
This paper aims to examine the time it would take to provide medical prophylaxis for a large urban population in the wake of an airborne anthrax attack and the effect that various parameters have on the total logistical time.

Design/methodology/approach
A mathematical model that evaluates key parameters and suggests alternatives for improvement is formulated. The objective of the model is to minimize the total logistical time required for prophylaxis by balancing three cycles as follows: the loading cycle, the shipping cycle and the service cycle.

Findings
Applying the model to two representative cases reveals the effect of various parameters on the process. For example, the number of distribution centers and the number of servers in each center are key parameters, whereas the number of central depots and the local shipping method is less important.

Research limitations/implications
Various psychological factors such as mass panic are not included in the model.

Originality/value
There are few papers analyzing the logistical response to an anthrax attack, and most focus mainly on the strategic level. The study deals with the tactical logistical level. The authors focus on the distribution process of prophylaxis and other medical supplies during the crisis, analyze it and identify the parameters that influence the time between the detection of the attack and the provision of effective medical treatment to the exposed population.
A relational capital perspective on social sustainability; the case of female entrepreneurship in Italy
Authors: Dal Mas Francesca , Paoloni Paola 
Published: December 2019

PurposeFemale entrepreneurship has been part of the political agenda internationally. Public entities should promote entrepreneurship in general, and female entrepreneurship in particular, with dedicated resources and programs. Female entrepreneurs are considered a key asset for developing economic growth. However, women experience much more difficulties than men in opening their own ventures. Relational capital is particularly relevant when it comes to female entrepreneurship. The purpose of this study is to analyze the factors that affect the opening of new ventures and the role of relational capital in female entrepreneurship, taking into consideration the Italian context during the financial crisis.Design/methodology/approachThis study uses a mixed-method approach analyzing data from a regional program to enhance the creation of new companies, trying to understand the issues of potential entrepreneurs in general and women in particular. A single case is then investigated using the characteristics – ambience – organization – sustainability model of micro-entrepreneurship and the network relationship model by Paoloni (2011).FindingsThe analysis highlights how women face much more difficulties in starting new ventures concerning their previous experience if their employment condition finds an extended period of inactivity. Additionally, potential female entrepreneurs are more sensitive to the complexity of the initiative, concerning the required investment and the number of employees, compared to male entrepreneurs. Relational capital is a crucial asset in fostering the success of the venture, especially in the start-up phase.Originality/valueThe purpose of the study is to contribute to the debate regarding the issues affecting the opening of new companies, as well as the link between relational capital and female enterprises. The paper offers some insights about a program covering a well-sized population during the financial crisis.
Entrepreneurial orientation, absorptive capacity and business performance in SMEs
Authors: Ibarra-Cisneros Manuel-Alejandro , Hernandez-Perlines Felipe 
Published: December 2019

Purpose
Firms must be constantly looking for markets and business opportunities and developing new products; to do so, they must find ways to increase their competitiveness, productivity so that it is noticed in their financial statements. The purpose of this paper is to establish the influence of entrepreneurial orientation (EO) in business performance (BP) of small and medium-sized enterprises of the manufacturing sector in Mexico. Likewise, it is intended to demonstrate how absorptive capacity (ACAP) allows moderating this important relation.

Design/methodology/approach
Analyzing important theoretical and empirical contributions as regards this topic, a survey was designed and applied to 165 manufacturing firms, and by means of partial least squares structural equation modeling resorting to SmartPLS, the research hypotheses were tried.

Findings
The obtained results indicate that indeed, EO positively influences BP; in like manner, ACAP has a moderating effect on this relation. Thereby, it can be established that the manufacturing sector carries out the right practices that aim at increasing entrepreneurial competitiveness.

Research limitations/implications
The main limitation of the paper is its regional scale, not national; however, the typology of the manufacturing sector in the country is very similar, as the analyzed subsectors are the most relevant at a national level. Moreover, the existence of international value chains is also found in the rest of the country, so these chains are not exclusive to the region. Another limitation is that even if the analysis focuses on the main manufacturing subsectors, it would have been interesting to analyze if the behavior is similar in other subsectors.

Originality/value
This paper contributes to broadening the studies on EO, ACAP and BP in a different context. Besides, it allows contrasting the results obtained in an eminently manufacturing country with other economies less dependent on this sector. It also contributes to broadening the multidimensional analysis of the manufacturing sector in Mexico, as the authors of the present paper have also performed studies over similar lines in the same sector.
Residential property market determinants: evidence from the 2018 Australian market downturn
Authors: Wong Peng Yew , Wong Woon-Weng , Mintah Kwabena 
Published: December 2019

PurposeThe purpose of this paper is to validate and uncover the key determinants revolving around the Australian residential market downturn towards the 2020s.Design/methodology/approachApplying well-established time series econometric methods over a decade of data set provided by Australian Bureau of Statistics, Reserve Bank of Australia and Real Capital Analytics, the significant and emerging drivers impacting the Australian residential property market performance are explored.FindingsBesides changes in the significant levels of some key traditional market drivers, housing market capital liquidity and cross-border investment fund were found to significantly impact the Australian residential property market between 2017 and 2019. The presence of some major positive economic conditions such as low interest rate, sustainable employment and population growth was perceived inadequate to uplift the Australian residential property market. The Australian housing market has performed negatively during this period mainly due to diminishing capital liquidity, excess housing supplies and retreating foreign investors.Practical implicationsA better understanding of the leading and emerging determinants of the residential property market will assist the policy makers to make sound decisions and effective policy changes based on the latest development in the Australian housing market. The results also provide a meaningful path for future property investments and investigations that explore country-specific effects through a comparative analysis.Originality/valueThe housing market determinants examined in this study revolve around the wider economic conditions in Australia that are not new. However, the coalesce analysis on the statistical results and the current housing market trends revealed some distinguishing characteristics and developments towards the 2020s Australian residential property market downturn.
Determinants of cruise tourists’ expenditure visiting port cities
Authors: Domènech Antoni , Gutiérrez Aaron 
Published: December 2019

Purpose
The purpose of this paper is to detect the determinants of cruise tourists’ expenditure level during their visits to an emergent Mediterranean port city. The article also aims to discuss its findings and contrast them with previous similar studies in other territorial contexts.

Design/methodology/approach
The study is based on surveys conducted on 1,010 cruise tourists that visited the city of Tarragona (Catalonia) during 2017. An ordered logit model is implemented to measure the impact of different variables related to the tourists’ characteristics and their activities developed at the destination.

Findings
Results underline diverse significant influences of multiple factors on the expenditures, such as the travel party, the age of the visitors, the length of stay and the tourists’ activities in the city. Although no incidence has been detected of variables related to the satisfaction with the visit of the cruise passengers in general, a positive association has been identified for those cruise passengers travelling on super-sized ships.

Originality/value
This study tests the effect of different variables that the literature pinpointed as determinants of the cruise tourists’ expenditures as well as other variables that have been underexplored in existing studies. The findings of this article are of special value for public and private organisations to optimally manage and market cruise tourism and boost the local economic impact.
Thinking like a naturalist: Enhancing computer vision of citizen science images by harnessing contextual data
Authors: Terry J. Christopher D. , Roy Helen E. , August Tom A. 
Published: December 2019

Abstract

The accurate identification of species in images submitted by citizen scientists is currently a bottleneck for many data uses. Machine learning tools offer the potential to provide rapid, objective and scalable species identification for the benefit of many aspects of ecological science. Currently, most approaches only make use of image pixel data for classification. However, an experienced naturalist would also use a wide variety of contextual information such as the location and date of recording.

Here, we examine the automated identification of ladybird (Coccinellidae) records from the British Isles submitted to the UK Ladybird Survey, a volunteer‐led mass participation recording scheme. Each image is associated with metadata; a date, location and recorder ID, which can be cross‐referenced with other data sources to determine local weather at the time of recording, habitat types and the experience of the observer. We built multi‐input neural network models that synthesize metadata and images to identify records to species level.

We show that machine learning models can effectively harness contextual information to improve the interpretation of images. Against an image‐only baseline of 48.2%, we observe a 9.1 percentage‐point improvement in top‐1 accuracy with a multi‐input model compared to only a 3.6% increase when using an ensemble of image and metadata models. This suggests that contextual data are being used to interpret an image, beyond just providing a prior expectation. We show that our neural network models appear to be utilizing similar pieces of evidence as human naturalists to make identifications.

Metadata is a key tool for human naturalists. We show it can also be harnessed by computer vision systems. Contextualization offers considerable extra information, particularly for challenging species, even within small and relatively homogeneous areas such as the British Isles. Although complex relationships between disparate sources of information can be profitably interpreted by simple neural network architectures, there is likely considerable room for further progress. Contextualizing images has the potential to lead to a step change in the accuracy of automated identification tools, with considerable benefits for large‐scale verification of submitted records.
Toxic trade: the impact of preferential trade agreements on alcohol imports from Australia in partner countries
Authors: Schram Ashley , Aisbett Emma , Townsend Belinda , Labonté Ronald , Baum Fran , Friel Sharon 
Published: December 2019

AbstractBackground and AimsTrade liberalization is hypothesized to increase the availability of imported alcoholic beverages in importing countries. This study provides the first longitudinal analysis of the impact of preferential trade agreements (PTAs) on alcohol imports.DesignPanel data comprising alcohol‐product (n = 15) by importing country (n = 16) observations from 1988 to 2016 constructed from global databases. The relationship between PTA status, tariff level and alcohol imports were assessed using a log‐linear model. Unobserved heterogeneity was addressed through a combination of differencing and product‐year fixed‐effects.SettingAustralia and its 16 free trade partners (PTA year in parentheses), classified by low [< 50%: Brunei (2010), Cambodia (2010), Indonesia (2010), Malaysia (2010, 2013), Myanmar (2010), Thailand (2003, 2010) and Vietnam (2010)] and high (> 50%: Chile (2009), China (2015), Japan (2015), Korea (2014), Laos (2010), New Zealand (1983, 2010), Philippines (2010), Singapore (2003, 2010) and United States (2005)] percentage of alcohol consumers in the population.MeasurementsIndependent variables were the existence of a PTA with Australia and tariff (border tax) rate on Australian products. Outcomes were (log) Australian imports; and a binary indicator of any imports from Australia.FindingsIntroducing a PTA has been associated with a statistically significant increase in the share of Australian alcoholic beverage imports in its partner country's total alcoholic beverage import supply, mainly from trade in new alcoholic beverage categories (0.067, P < 0.05). Tariff rate reductions have been associated with increased imports in both low and high consumption country groups; however, the effect has been larger in low consumption countries (−0.189, P < 0.01 compared with −0.016, P < 0.05). The impact of PTA adoption was significant in low consumption countries only (1.141, P < 0.05).ConclusionsPreferential trade agreements involving Australia have been positively associated with alcohol imports from Australia in countries with low rates of alcohol consumption, due primarily to trade in new products.
Identification of candidate genes affecting chronic subclinical mastitis in Norwegian Red cattle: combining genome‐wide association study, topologically associated domains and pathway enrichment analysis
Authors: Kirsanova E. , Heringstad B. , Lewandowska‐Sabat A. , Olsaker I. 
Published: December 2019

SummaryThe aim of this study was to identify genes associated with chronic subclinical mastitis (SCM) in Norwegian Red (NR) cattle. Twelve SCM traits defined based on fixed threshold for test‐day somatic cell count (SCC) were, together with lactation‐average somatic cell score (LSCS) used for association and pathway enrichment analyses. A GWAS was performed on 3795 genotyped NR bulls with 777K SNP data and phenotypic information from 7 300 847 test‐day SCC observations from 3 543 764 cows. At 5% chromosome‐wide significance level 36 unique SNP were detected to be associated with one or more of the traits. These SNPs were analysed for linked genes using genomic positions of topologically associated domains (TAD). For the SCM traits with SCC >50 000 and >100 000 cells/ml on two test‐days in a row and LSCS, the same top significant genes were identified – checkpoint clamp loader component (RAD17) and cyclin B1 (CCNB1). The SCM traits with SCC >250 000, 300 000, 350 000 or 400 000 cells/ml on two test‐days in a row and D400 (number of days before the first case with SCC >400 000 cells/ml) displayed similar top significant genes: acyl‐CoA thioesterase 2 and 4 (ACOT2; ACOT4). For the traits SCM200_3 (SCC >200 000 cells/ml on three test‐days in a row) and SCM150, SCM200 (SCC >150 000; 200 000 cells/ml on two test‐days in a row) a group of chemokine (C–X–C motif) ligand genes and the Fos proto‐oncogene, AP‐1 transcription factor subunit (FOS) gene, were identified. Further functional studies of these identified candidate genes are necessary to clarify their actual role in development of chronic SCM in NR cattle.