bluuebunny/crossref_metadata_2025_split huggingface dataset:
Responses to job demands: moderating role of worker cooperatives
Authors: Park Rhokeun 
Published: January 2018

PurposeThe purpose of this paper is to examine the mediating role of organizational commitment in the relationship between job demands and job search behavior. The study also explores the moderating role of worker cooperatives in the relationship between job demands and organizational commitment. There is little extant research on the relationships of job demands with employee behaviors, and the roles of worker cooperatives in those relationships.Design/methodology/approachUsing the multi-level moderated mediation model, this study analyzed surveys conducted in capitalist firms and worker cooperatives in the metropolitan area of Seoul in 2016.FindingsThis study provided evidence that organizational commitment mediated the relationship between job demands and job search behavior in the total sample. The findings revealed that worker cooperatives moderated the relationship between job demands and organizational commitment. In other words, while the negative relationship between job demands and organizational commitment was significant in capitalist firms, it was not maintained in worker cooperatives.Research limitations/implicationsThis study provides implications on how job demands are related to job search behavior, and how worker cooperatives may alleviate the adverse effects of job demands on employee attitudes and behaviors. A potential limitation of the present study is that individual-level variables were measured by self-reports.Originality/valueWhile previous studies on the JDR model have examined the interaction between job demands and individual levels of resources, the current study investigated the interaction between job demands and organizational levels of resources.
HR practices and employee performance: the mediating role of well-being
Authors: Khoreva Violetta , Wechtler Heidi 
Published: January 2018

PurposeThe purpose of this paper is to examine the associations between the skill-, motivation- and opportunity-enhancing dimensions of human resource (HR) practices and in-role and innovative job performance. Furthermore, it considers the mediating effects of psychological, physical and social employee well-being on these associations.Design/methodology/approachStructural equation modeling was utilized to analyze multi-source survey data from a sample of 300 employees and 34 immediate supervisors in a professional service company in Finland.FindingsThe results indicate that whereas physical and social employee well-being partially mediate the association between skill- and opportunity-enhancing HR practices and in-role job performance, psychological employee well-being partially mediates the association between motivation-enhancing HR practices and innovative job performance.Research limitations/implicationsGiven its cross-sectional nature, the authors cannot completely exclude the possibility of common method bias influencing the study results. The authors thus call for longitudinal research to examine the nature of causality within the associations analyzed in the study.Originality/valueThis study does not support the notion of trade-offs between HR practices, employee well-being and employee performance. Instead, it illustrates that even though different dimensions of HR practices enhance different dimensions of employee well-being, which, in turn, increase different types of employee performance, the different dimensions of HR practices work in the same direction and do not generate any unintended consequences in terms of reduced employee physical well-being.
Exploring the mediating effects between transformational leadership and organizational performance
Authors: Para-González Lorena , Jiménez-Jiménez Daniel , Martínez-Lorente Angel Rafael 
Published: January 2018

PurposeThe purpose of this paper is to study the possible mediating mechanisms (human resource management (HRM), learning and innovation) that could exist in the relationship between transformational leadership and organizational performance. This topic has been studied only by a few groups of researchers and these researchers have not analyzed all these concepts jointly.Design/methodology/approachThis research explores the relationships using partial least squares with data from 200 Spanish industrial companies. Analyzing the mentioned relationships in the Spanish context has been done by few researchers before.FindingsThe study reveals that the adoption of transformational leadership styles improves performance when specific systems of HRM practices, learning and innovation are developed in an organization.Originality/valueThis study, therefore, contributes to the understanding of the link between transformational leaders and performance by proposing a model in which it is evinced that this leadership style produces synergies between HRM, learning and innovation, which in the end, affect performance.
To adjust or not to adjust in the host country? Perspective of interactionism
Authors: Hung Chao-Chih , Huan Tzung-Cheng , Lee Chun-Han , Lin Hsin-Mei , Zhuang Wen-Long 
Published: January 2018

PurposeThe purpose of this paper is to examine the relationship of regulatory foci (promotion focus and prevention focus) to expatriate adjustments (general, interaction, and work adjustments) and explore whether mentoring functions (psychosocial support, role modeling, and career development) moderate the aforementioned relationship.Design/methodology/approachUsing 141 questionnaired primary data (response rate 32.25 percent) gathered from at least six months experienced expatiates of multinational companies in six industries, this study adopts regression method to examine the moderating effect.FindingsThis study found that promotion focus was positively related to the interaction and work adjustment, respectively; prevention focus was positively related to the general, interaction, and work adjustment, respectively. Psychosocial support function moderates the relationship between promotion focus and general adjustment. Career development function moderates the relationships between promotion/prevention foci and work adjustment.Originality/valueAccording to the interactionism perspective, behavior is a result of the interaction between personality and situational influences, has a long history in social and personality psychology. This study extends this perspective to the interactive effects of mentorship (situational factor) and expatriates’ regulatory foci (personality factor) on expatriate adjustment.
What determines tourist adoption of smartphone apps?
Authors: Gupta Anil , Dogra Nikita , George Babu 
Published: January 2018

PurposeThis study aims to identify factors affecting tourists’ intention of using travel apps installed in their smartphones.Design/methodology/approachA questionnaire was developed largely based on the available scales in the published literature. A total of 389 participants responded to the survey, out of which 343 valid responses were obtained for statistical analysis.FindingsSignificant predictors of smartphone app usage intention included performance expectancy, social influence, price saving, perceived risk, perceived trust and prior usage habits. Usage behavior was largely mediated by usage intention, except in the case of habits. Contrary to the expectation, factors such as hedonistic motivation, facilitating conditions or effort expectancy did not impact usage intention or behavior.Practical implicationsThe study gives app developers vital cues on tourist expectations from the apps. Oftentimes, developers tend to focus entirely on the material utility of their apps, neglecting every other factor influencing use. One particular implication is that despite tourism being a hedonistic activity, travel app usage behavior is not a hedonistic activity.Originality/valueThis is one of the few studies to examine adoption of smartphone travel apps in an emerging economy context by using extended unified theory of acceptance and use of technology framework with additional constructs.
Improving corporate disclosure through XBRL
Authors: La Torre Matteo , Valentinetti Diego , Dumay John , Rea Michele Antonio 
Published: January 2018

Purpose
The purpose of this paper is to examine the potential for eXtensible Business Reporting Language (XBRL) to go beyond static reporting. A taxonomy structure of information is developed for providing a knowledge base and insights for an XBRL taxonomy for integrated reporting (IR).

Design/methodology/approach
Design Science (DS) research, as a pragmatic exploratory research approach, is embraced to create a new “artefact” and thematic content analysis is used to analyse IR in practice.

Findings
Using XBRL for IR allows a shift from static and periodic reporting to more relevant and dynamic corporate disclosure for stakeholders, who can navigate and retrieve customised disclosure information according to their interest by exploiting the multidimensionality of IR and overcome some of its criticisms. The bi-dimensional taxonomy structure the authors’ present allows users to navigate disclosure from two different perspectives (content elements (CE) and capitals), display specific themes of interest, and drill down to more detailed information. Because of its evidence-based nature and levels of disaggregation, it provides flexibility to preparers and users of information. Additionally, the findings demonstrate the need to codify sector-specific information for the CE, so that to direct the efforts toward the development of sector-specific taxonomy extensions in developing an XBRL taxonomy for IR.

Research limitations/implications
The limitations of DS research are, first, the artefact design and, second, its effects in practice. The first limitation stems from the social actors’ perspective taken into account to develop the taxonomy structure, which derives from the analysis of the reporting practices rather than a pluralistic approach and dialogic engagement. The second limitation relates to the XBRL taxonomy development process because, since the study is limited to the “design” phase being codification and structuring the knowledge base for an XBRL taxonomy, there is a need to develop a taxonomy in XBRL and then apply it in practice to empirically demonstrate the potential and benefits of XBRL in the IR context.

Practical implications
The taxonomy structure is targeted at entities interested in designing an XBRL taxonomy for IR. This is a call for academics and practitioners to explore the potential of technology to improve corporate disclosure and open up new projections for resurging themes on intellectual capital (IC) reporting with prospects for IC “fourth-stage” research focused on IC disclosure.

Originality/value
This is an interdisciplinary research employing the DS approach, which is rooted in information systems research. It is the first academic study providing pragmatic results for using XBRL in the context of IC and IR.
The impact of Facebook experience on consumers’ behavioral Brand engagement
Authors: Triantafillidou Amalia , Siomkos George 
Published: January 2018

Purpose
The aim of the present study is twofold. First, it measures Facebook users’ experience in a holistic way by taking into account the various dimensions of Facebook experience (i.e. entertainment, flow, escapism, challenge, learning, socializing and communitas); second, it tests the effects of these dimensions in relation to consumers’ brand engagement on Facebook.

Design/methodology/approach
Two online surveys were conducted using self-administered questionnaires. Respondents were recruited through the snowball sampling technique.

Findings
The findings suggest that the different experiential elements of Facebook usage have varying effects on the two brand engagement factors (consuming and contributing) on Facebook. Specifically, the passive element (consuming) is positively influenced by the dimensions of flow and communitas (i.e. feelings of belongingness), while escapism is found to be a negative predictor. The active element of engagement (contributing) is positively affected by dimensions such as entertainment, flow, socializing and communitas.

Practical implications
Brand managers should design Facebook pages for their brands that entertain and immerse consumers, while enabling them to socialize and bond with others to increase levels of consumers’ engagement with brands on Facebook. However, brand managers should be cautious regarding the fantasy experience (escapism) offered by their Facebook pages, as this can distract consumers from the content of the brand page.

Originality/value
To date, most studies on Facebook usage have been conducted under the uses and gratifications framework, while the various elements that comprise Facebook users’ experience have not received sufficient attention in previous conceptualizations of Facebook experience. In addition, the present study enhances the research by examining consumers’ brand engagement on Facebook as a potential consequence of the various Facebook experience dimensions.
Changes in macroelements, trace elements, heavy metal concentrations and chemical composition in milk of Croatian spotted goats during different lactation stages
Authors: Antunović Zvonko , Marić Ivica , Lončarić Zdenko , Novoselec Josip , Mioč Boro , Klir Željka 
Published: January 2018

The research was conducted on days 60, 90, 120 and 150 during the lactation with the aim to determine the effect of lactation stage on the concentration of crucial elements and chemical composition in Croatian spotted goats' milk. Milk yield significantly decreased (from 1.15 to 0.76 kg/day), while the concentration of Ca, Mg, P, Zn and Mo in the milk of the goats significantly increased during lactation. The concentrations of Cr, Cd and Pb in milk were very low, with no significant deviations during lactation. The quality of milk from Croatian spotted goats is adequate compared with other breeds in the surrounding area of Croatia.
RNA Sequencing, De novo assembly, functional annotation and SSR analysis of the endangered diving beetle Cybister chinensis (= Cybister japonicus) using the Illumina platform
Authors: Hwang Hee‐Ju , Patnaik Bharat Bhusan , Kang Se Won , Park So Young , Chung Jong Min , Sang Min Kyu , Park Jie Eun , Min Hye Rin , Seong Jiyeon , Jo Yong Hun , Noh Mi Young , Lee Jong Dae , Jung Ki Yoon , Park Hong Seog , Jeong Heon Cheon , Lee Yong Seok 
Published: January 2018

AbstractCybister chinensis Motschulsky, 1854 (synonym Cybister japonicus Sharp, 1873) is a beetle found in ponds and irrigation canals near rice fields regulating the aquatic faunal community through predation. However, due to loss of natural habitats, use of pesticides, and invasion of alien species the beetle is threatened. With lack of understanding at the trophic ecology and genomics level, the conservation study is hindered to a larger extent. In the present study, Illumina HiSeq 4000 platform has been used to unravel the whole‐larval transcriptome of the beetle. A total of 20,129 non‐redundant unigenes were assembled from 67,260,666 clean read sequences. About 18,743 unigenes found a homologous match in any one of the databases like PANM, UniGene, Swiss‐Prot, Clusters of Orthologous Groups (COG), Gene Ontology (GO), KEGG, and InterProScan. While the zinc finger domains topped the unigene hits, about 660 enzymes (2695 sequences) participating in metabolism, environmental information processing, genetic information processing and organismal system pathways were recorded. Furthermore, the HSP70 class, Toll‐like receptors 4, insulin‐receptor substrate, and AMP activated protein kinase showed conspicuous presence in the larval transcriptome. Out of a total of 12,491 unigene sequences examined, 1968 SSRs were detected. Majority of them were dinucleotide repeats with six iterations followed by trinucleotide and tetranucleotide repeats with five and four iterations, respectively. This is the first report of cDNA resources from C. japonicus till date. The data would be crucial for the assessment of the beetle in the wild and making an inventory for utilisation in future genomics and ecological studies.
Chemical Composition of Date Palm (Phoenix dactylifera L.) Seed Oil from Six Saudi Arabian Cultivars
Authors: Nehdi Imeddedine Arbi , Sbihi Hassen Mohamed , Tan Chin Ping , Rashid Umer , Al‐Resayes Saud Ibrahim 
Published: January 2018

AbstractThis investigation aimed to evaluate the chemical composition and physicochemical properties of seed oils from 6 date palm (Phoenix. dactylifera L.) cultivars (Barhi, Khalas, Manifi, Rezeiz, Sulaj, and Sukkari) growing in Saudi Arabia and to compare them with conventional palm olein. The mean oil content of the seeds was about 7%. Oleic acid (48.67%) was the main fatty acid, followed by lauric acid (17.26%), stearic acid (10.74%), palmitic acid (9.88%), and linolenic acid (8.13%). The mean value for free fatty acids content was 0.5%. The P. dactylifera seed oil also exhibited a mean tocol content of 70.75 mg/100 g. α‐Tocotrienol was the most abundant isomer (30.19%), followed by γ‐tocopherol (23.61%), γ‐tocotrienol (19.07%), and α‐tocopherol (17.52%). The oils showed high thermal and oxidative stabilities. The findings indicate that date seed oil has the potential to be used in the food industry as an abundant alternative to palm olein.Practical ApplicationThis study showed that date seed had great nutritional value due to which it can be used for food applications especially as frying or cooking oil. In addition, date oil has also potential to be used in cosmetic and pharmaceutical practices as well. The extraction of oil from Phoenix dactylifera seed on large scale can create positive socioeconomic benefits especially for rural communities and could also assist to resolve the environmental issues generated by excess date production in large scale date‐producing countries such as Saudi Arabia.
Peroxiredoxin 1, restraining cell migration and invasion, is involved in hepatocellular carcinoma recurrence
Authors: Fang Ying , He Juan , Janssen Harry L.A. , Wu Jian , Dong Ling , Shen Xi Zhong 
Published: January 2018

ObjectiveHepatocellular carcinoma (HCC) is a high‐burden disease. Peroxiredoxin 1 (PRDX1) is a member of the peroxiredoxin family of antioxidant enzymes. The aim of this study was to assess the value of PRDX1 for predicting HCC recurrence after curative resection and to explore the role of PRDX1 in HCC cell migration and invasion.MethodsData of patients with HCC who had undergone complete resection between 2002 and 2006 were collected. Immunohistochemical detection of PRDX1 in HCC tissue and adjacent non‐cancerous tissue was conducted. Kaplan–Meier survival estimate and log–rank test were used to assess the relationship between PRDX1 expression and prognostic significance. HCC cell migration and invasion together with the interaction between PRDX1 and ubiquitin C‐terminal hydrolase 37 (UCH37) were studied in vitro.ResultsPRDX1 was expressed at lower levels in HCC tissues than in adjacent non‐cancerous tissues, and PRDX1 was found to be an independent risk factor for disease‐free survival and overall survival. PRDX1 restrained cell migration and invasion in vitro. PRDX1 was found to interact with UCH37 to affect HCC cell migration and invasion.ConclusionPRDX1 restrains cell migration and invasion in HCC cell lines and that may be involved in a UCH37‐relevant pathway, suggesting that PRDX1 may be a new marker for HCC recurrence after surgery.
Comparing evolutionary rates between trees, clades and traits
Authors: Revell Liam J. , González‐Valenzuela Laura E. , Alfonso Alejandro , Castellanos‐García Luisa A. , Guarnizo Carlos E. , Crawford Andrew J. 
Published: January 2018

AbstractThe tempo of evolutionary change through time is among the most heavily studied dimensions of macroevolution using phylogenies.Here, we present a simple, likelihood‐based method for comparing the rate of phenotypic evolution for continuous characters between trees. Our method is derived from a previous approach published by Brian O'Meara and colleagues in 2006.We examine the statistical performance of the method and find that it suffers from the typical downward bias expected for maximum likelihood estimates of the variance, but only for very small trees. We find that evolutionary rates are estimated with minimal bias for trees of even relatively modest size.We also find that type I error rates based on a likelihood‐ratio test are minimally elevated above the nominal level, even for small phylogenies. The type I error rate can be reduced to a level at or below its nominal value by substituting a test‐statistic distribution obtained via simulation under the null hypothesis of no difference in evolutionary rate among trees.We discuss the consequences of failing to account for uncertainty in the estimation of species means or in the phylogeny, and describe strategies for taking this uncertainty into consideration during estimation. We also identify how our approach is related to previous methods for comparing the rate of evolution among different clades of a single tree or between different phenotypic traits. Finally, we describe how the method can be applied to different evolutionary models and to discrete characters—options that are already implemented in software.Evolutionary biologists continue to be intrigued by changes in the tempo of phenotypic evolution across the tree of life. The method described herein should be useful for contexts in which changes in the evolutionary rate or process between two or more clades of distant or unknown relationship are of interest.
Decoding diagnosis and lifetime consumption in alcohol dependence from grey‐matter pattern information
Authors: Guggenmos M. , Scheel M. , Sekutowicz M. , Garbusow M. , Sebold M. , Sommer C. , Charlet K. , Beck A. , Wittchen H.‐U. , Zimmermann U. S. , Smolka M. N. , Heinz A. , Sterzer P. , Schmack K. 
Published: January 2018

ObjectiveWe investigated the potential of computer‐based models to decode diagnosis and lifetime consumption in alcohol dependence (AD) from grey‐matter pattern information. As machine‐learning approaches to psychiatric neuroimaging have recently come under scrutiny due to unclear generalization and the opacity of algorithms, our investigation aimed to address a number of methodological criticisms.MethodParticipants were adult individuals diagnosed with AD (N = 119) and substance‐naïve controls (N = 97) ages 20‐65 who underwent structural MRI. Machine‐learning models were applied to predict diagnosis and lifetime alcohol consumption.ResultsA classification scheme based on regional grey matter attained 74% diagnostic accuracy and predicted lifetime consumption with high accuracy (r = 0.56, P < 10−10). A key advantage of the classification scheme was its algorithmic transparency, revealing cingulate, insular and inferior frontal cortices as important brain areas underlying classification. Validation of the classification scheme on data of an independent trial was successful with nearly identical accuracy, addressing the concern of generalization. Finally, compared to a blinded radiologist, computer‐based classification showed higher accuracy and sensitivity, reduced age and gender biases, but lower specificity.ConclusionComputer‐based models applied to whole‐brain grey‐matter predicted diagnosis and lifetime consumption in AD with good accuracy. Computer‐based classification may be particularly suited as a screening tool with high sensitivity.