bluuebunny/crossref_metadata_2025_split huggingface dataset:
Conceptualizing terrorist financing in the age of uncertainty
Authors: Hamin Zaiton , Othman Rohana , Omar Normah , Selamat Hayyum Suleikha 
Published: November 2016

Purpose
The purpose of this paper is to conceptualize the concept of terrorism, terrorism financing, the relationship between money laundering and terrorism financing and the governance of terrorism financing.

Design/methodology/approach
This paper adopts a doctrinal, content analysis and secondary data, of which the Anti-Money Laundering and Anti-Terrorism Financing Act 2001 and the Penal Code are the primary sources. The secondary sources for this paper include articles in academic journals, books and online databases.

Findings
Several methods are involved in the commission of terrorism financing such as raising, moving and using of funds. The activities relating to terrorism financing under the Penal Code are broader than such activities. Despite the adherence by Malaysia to international policies established by the Financial Action Task Force, terrorism financing has remained a threat that must be addressed by the relevant authorities.

Practical implications
This paper could be a useful source of information for the practitioners, academicians, policymakers and students studying this particular area of crime.

Originality/value
This paper contributes to a discourse on terrorism financing in the Malaysian context.
Decision support for additive manufacturing deployment in remote or austere environments
Authors: Meisel Nicholas A. , Williams Christopher B. , Ellis Kimberly P. , Taylor Don 
Published: November 2016

PurposeAdditive manufacturing (AM) can reduce the process supply chain and encourage manufacturing innovation in remote or austere environments by producing an array of replacement/spare parts from a single raw material source. The wide variety of AM technologies, materials, and potential use cases necessitates decision support that addresses the diverse considerations of deployable manufacturing. The paper aims to discuss these issues.Design/methodology/approachSemi-structured interviews with potential users are conducted in order to establish a general deployable AM framework. This framework then forms the basis for a decision support tool to help users determine appropriate machines and materials for their desired deployable context.FindingsUser constraints are separated into process, machine, part, material, environmental, and logistical categories to form a deployable AM framework. These inform a “tiered funnel” selection tool, where each stage requires increased user knowledge of AM and the deployable context. The tool can help users narrow a database of candidate machines and materials to those appropriate for their deployable context.Research limitations/implicationsFuture work will focus on expanding the environments covered by the decision support tool and expanding the user needs pool to incorporate private sector users and users less familiar with AM processes.Practical implicationsThe framework in this paper can influence the growth of existing deployable manufacturing endeavors (e.g. Rapid Equipping Force Expeditionary Lab – Mobile, Army’s Mobile Parts Hospital, etc.) and considerations for future deployable AM systems.Originality/valueThis work represents novel research to develop both a framework for deployable AM and a user-driven decision support tool to select a process and material for the deployable context.
Value of employee satisfaction during the financial crisis
Authors: Cao Cathy Xuying , Chen Chongyang 
Published: November 2016

PurposeThe purpose of this paper is to examine how employee satisfaction affects firm value around the financial crisis.Design/methodology/approachThe authors use the 2008 financial crisis as exogenous shocks to firms to mitigate endogenous concern that employee satisfaction and firm value can be jointly determined. The authors compare firm value of two groups of firms: the firms on theFortunemagazine’s list of “100 Best Companies to Work For” and matched firms that are not on the list. The authors employ difference-in-difference approaches in the tests.FindingsThe authors find that when the crisis happens, the best companies experience larger decreases in firm value than comparable firms. In addition, such decreases in firm value only exist among the best companies with high financial flexibility. The authors also show that job satisfaction alone does not create firm value during the financial crisis; only when interacted with high financial flexibility, employee satisfaction leads to high firm value. Finally, the authors document that best companies do not have any advantage in the recovery of firm value after the crisis, regardless of their level of financial flexibility.Research limitations/implicationsThere is considerable debate on whether job satisfaction leads to performance or performance leads to satisfaction (Luthans, 1998). The authors show that the impact of employee satisfaction on firm value changes over time. The authors also identify a crucial factor that impacts the value-creation of employee satisfaction: financial flexibility. The findings suggest that the ambiguous results documented in prior literature can be due to the different sample periods and the failure to identify the impact of financial flexibility in previous studies.Practical implicationsThe findings provide helpful implications to the business community. The evidence suggests that to reap the benefits of employee satisfaction, companies need to manage their financial flexibility to buffer against potential negative shocks while having strong corporate governance mechanism to mitigate agency concerns. Moreover, the study provides an investment recommendation to socially responsible investment (SRI) and suggests that it is better off implementing dynamic SRI investment strategies according to economic condition.Social implicationsThe evidence suggests that the economic value of employee satisfaction is related to firms’ financial flexibility and economic conditions.Originality/valueThe authors contribute to the literature by showing that the impact of employee satisfaction on firm value changes over time. The test design not only allows the authors to study the effect of employee satisfaction on firm value at a particular point in time, but also helps the authors examine the variation in the effect over economic cycles. This paper also contributes to the literature on SRI. The authors identify a crucial factor that impacts the value-creation of employee satisfaction: financial flexibility.
Does religion matter to dividend policy? Evidence from Buddhism and Taoism in China
Authors: Cao Chunfang , Jia Fansheng , Zhang Xiaowei , Chan Kam C. 
Published: November 2016

Purpose
The purpose of this paper is to examine the relation between Buddhism/Taoism and dividend payout decisions among Chinese listed firms during 2003-2013.

Design/methodology/approach
The authors include all Chinese A-share listed stocks in their sample during 2003-2013 and use a multiple regression method to conduct their analyses.

Findings
Their findings suggest that firms in regions with high influence of Buddhism and Taoism lean toward having high dividend payouts. The results are robust to a battery of alternative specifications in dividend payout, religiosity measures, research methods and dividend regulation regimes.

Originality/value
They show that the religions of Buddhism/Taoism play a role in determining dividend payout, complementing other informal institution studies of dividend policy. They complement the literature by providing insights into the impact of Buddhism and Taoism on corporate behaviors beyond immoral or unethical practices. They are able to relate specific doctrinal tenets of Buddhism and Taoism to corporate behavior rather than using only the general moral and ethical guidelines of religiosity.
Determining social media impact on the politics of developing countries using social network analytics
Authors: Udanor Collins , Aneke Stephen , Ogbuokiri Blessing Ogechi 
Published: November 2016

Purpose
The purpose of this paper is to use the Twitter Search Network of the Apache NodeXL data discovery tool to extract over 5,000 data from Twitter accounts that twitted, re-twitted or commented on the hashtag, #NigeriaDecides, to gain insight into the impact of the social media on the politics and administration of developing countries.

Design/methodology/approach
Several algorithms like the Fruchterman-Reingold algorithm, Harel-Koren Fast Multiscale algorithm and the Clauset-Newman-Moore algorithms are used to analyse the social media metrics like betweenness, closeness centralities, etc., and visualize the sociograms.

Findings
Results from a typical application of this tool, on the Nigeria general election of 2015, show the social media as the major influencer and the contribution of the social media data analytics in predicting trends that may influence developing economies.

Practical implications
With this type of work, stakeholders can make informed decisions based on predictions that can yield high degree of accuracy as this case. It is also important to stress that this work can be reproduced for any other part of the world, as it is not limited to developing countries or Nigeria in particular or it is limited to the field of politics.

Social implications
Increasingly, during the 2015 general election, citizens have taken over the blogosphere by writing, commenting and reporting about different issues from politics, society, human rights, disasters, contestants, attacks and other community-related issues. One of such instances is the #NigeriaDecides network on Twitter. The effect of these showed in the opinion polls organized by the various interest groups and media houses which were all in favour of GMB.

Originality/value
The case study the authors took on the Nigeria’s general election of 2015 further strengthens the fact that the developing countries have joined the social media race. The major contributions of this work are that policy makers, politicians, business managers, etc. can use the methods shown in this work to harness and gain insights from Big Data, like the social media data.
Providing open access to PhD theses: visibility and citation benefits
Authors: Ferreras-Fernández Tránsito , García-Peñalvo Francisco , Merlo-Vega José A. , Martín-Rodero Helena 
Published: November 2016

PurposeThe purpose of this paper is to report the benefits of scientific communication model of open access (OA) repositories to e-theses. Specifically, the study focusses on the benefits of accessibility, dissemination, visibility and impact of PhD e-theses deposited in repositories.Design/methodology/approachThe study analysed a random sample of 125 PhD e-theses deposited in an OA repository, specifically in the institutional repository (IR) of the University of Salamanca (Gredos). It tracked the sample for analysing on one side the visits and downloads of the e-theses, whose data are obtained from the statistics module of the repository, and on the other side the data citation provided by Google Scholar Citation on these e-theses. To analyse the differences between the indicators (visits, downloads and citations) in different knowledge areas, the Kurskall-Wallis test has been used.FindingsThe results indicate that OA IRs become an advantageous channel of scientific communication to grey literature like dissertations and PhD theses, because it increases visibility and use and also produces a significant citation rate.Originality/valueThe paper uses metrics that are used in IR to measure the visibility and impact of a type of grey literature that is very difficult to track because it is unpublished. The dissemination of the grey literature through OA repositories makes it possible. The value of the work lies in the empirical evidence obtained from the analysed PhD e-theses of Gredos repository.
Building loyalty in e-commerce
Authors: Xiao Lin , Guo Zixiu , D’Ambra John , Fu Bin 
Published: November 2016

PurposeAlthough recent years have shown increasing popularity of e-commerce worldwide, there is still a lack of studies comprehensively exploring trust issue in e-commerce. Based on trust transfer theory and signaling theory, the purpose of this paper is to present an integrated research model to test the relationships between trust dimensions and e-loyalty, interactions among trust dimensions, as well as antecedents of different trust dimensions.Design/methodology/approachData were collected through a web-based survey in Chinese markets and structural equation modeling with partial least squares was used to analyze the data.FindingsThe results identified that three trust dimensions all have significant impacts on e-loyalty, and relationships existed in different trust dimensions. Moreover, information quality and security protection are important factors determining institutional trust while store reputation is the most salient factor determining interpersonal trust.Originality/valueThis research contributes to the body of knowledge on trust by exploring the nature of trust with a multidimensional scale. Another theoretical contribution is the provision of a comprehensive understanding of the trust antecedents in e-commerce. Furthermore, this research benefits the companies doing e-businesses by allowing them to better understand how to improve consumers’ trust in the online environment and thus to retain and attract more loyal customers and succeed in online businesses.
Identifying the uses of mobile technology among Library and Information Science undergraduate students
Authors: Vassilakaki Evgenia , Moniarou-Papaconstantinou Valentini , Garoufallou Emmanouel 
Published: November 2016

Purpose
Mobile technology has redefined the way people communicate and interact. In education, the number of academic institutions developing and offering mobile information services is growing steadily. The purpose of this paper is to identify the use of mobile technology by the Library Science and Information Systems undergraduate students in Greece.

Design/methodology/approach
A questionnaire was developed drawing from the relevant literature and sent to undergraduate students studying Library and Information Science during the 2014-2015 academic year.

Findings
It was found that students employed mobile phones for entertainment purposes whereas laptops and desktop computers for performing education-related tasks. Laptops and desktop computers were again mostly used to access library services, namely the OPAC, reference books, journals.

Research limitations/implications
Academic institutions need to offer services and adopt online learning platforms supported in mobile devices. Students from other disciplines and their acceptance of mobile technology should be explored.

Originality/value
This study identifies the specific mobile devices that students use to perform a variety of activities, educational and social, as well as the reasons for doing so.
Open data framework for sustainable assessment of project-based learning experiences
Authors: Traverso-Ribón Ignacio , Balderas-Alberico Antonio , Dodero Juan-Manuel , Ruiz-Rube Ivan , Palomo-Duarte Manuel 
Published: November 2016

Purpose
In a project-based learning experience, the detailed monitoring of the activities in which team members participate can be useful to evaluate their work. However, the project activity produces a large amount of data that can be hardly assessed by a single project supervisor. This poses a scalability issue if the number of users or projects size increases. In this vein, the purpose of this paper is to make the assessment of online learning experiences more sustainable.

Design/methodology/approach
This paper describes a learning-oriented collaborative assessment method, supported by an open data framework. Also, an architecture for the extraction of different indicators to facilitate the assessment process is presented.

Findings
The assessment method and the open data framework were applied to a project-based course on web engineering. This experience has provided positive evidences because the grade measurement was backed up with assessment evidences and calculated with less effort.

Research limitations/implications
At the moment, results indicate that apparently there are no significant evidences against the sustainable evaluation practices for students’ summative evaluation. Nevertheless, when more data become available, a more statistically significant analysis could be made to determine the influence of the assessment practices in the final result of the evaluated skills.

Originality/value
In contrast to various existing proposals for e-assessment, the strategy focuses on assessing learning experiences in software development projects. Also, the approach is based on the reuse of information from external process supporting tools by integrating a number of metrics in a non-intrusive way.
Killer immunoglobulin‐like receptor repertoire analysis in a Caucasian Spanish cohort with inflammatory bowel disease
Authors: López‐Hernández Ruth , Campillo Jose A. , Legaz Isabel , Valdés Mariano , Salama Hortensia , Boix Francisco , Hernández‐Martínez AM , Eguia Jorge , González‐Martínez G , Moya‐Quiles Maria R. , Minguela Alfredo , García‐Alonso Ana , Carballo Fernando , Muro Manuel 
Published: November 2016

ABSTRACTImmunological molecules are implicated in inflammatory disorders, including inflammatory bowel disease (IBD; Crohn disease [CD] and ulcerative colitis [UC]). Killer cell immunoglobulin‐like receptors (KIRs) are also genetically variable proteins involved in immune function. They are expressed by NK cells and certain T lymphocytes, regulate specificity and function by interaction with HLA Class I molecules, may be either inhibitory or activating and are polymorphic both in terms of alleles and haplotype gene content. Genetic associations between activating KIRs and certain autoimmune and inflammatory diseases have been reported; however, a possible association between KIR and IBD remains unclear. The aim of this study was to determine the relationship between KIR repertoire and IBD pathologies in a Spanish cohort. KIR variability was analyzed using PCR–sequence specific oligonucleotide probes (SSOP). Inhibitory KIR2DL5 was found more frequently in UC and IBD patient groups than in healthy controls (P = 0.028 and P = 0.01, respectively), as was activating KIR2DS1 (P = 0.02, Pc > 0.05, UC vs. Controls; P = 0.001, Pc = 0.01, IBD vs Controls; P = 0.01, Pc > 0.05, Controls vs CR), KIR2DS5 (P = 0.0028, Pc = 0.04, Controls vs UC; P = 0.0001, Pc = 0.0017, Controls vs IBD; P = 0.01, Pc > 0.05, Controls vs CD) and KIR3DS1 (P = 0.012, Pc > 0.05, Controls vs IBD). Our data suggest that imbalance between activating and inhibitory KIR may partially explain the different pathogeneses of these IBDs and that there is a hypothetical role for the telomeric B region (which contains both KIR2DS5 and KIR2DS1) in these diseases.
Seasonal shifts in sex ratios are mediated by maternal effects and fluctuating incubation temperatures
Authors: Carter Amanda W. , Bowden Rachel M. , Paitz Ryan T. 
Published: November 2016

Summary

Sex‐specific maternal effects can be adaptive sources of phenotypic plasticity. Reptiles with temperature‐dependent sex determination (TSD) are a powerful system to investigate such maternal effects because offspring phenotype, including sex, can be sensitive to maternal influences such as oestrogens and incubation temperatures.

In red‐eared slider turtles (Trachemys scripta), concentrations of maternally derived oestrogens and incubation temperatures increase across the nesting season; we wanted to determine if sex ratios shift in a seasonally concordant manner, creating the potential for sex‐specific maternal effects, and to define the sex ratio reaction norms under fluctuating temperatures across the nesting season.

Eggs from early and late season clutches were incubated under a range of thermally fluctuating temperatures, maternally derived oestradiol concentrations were quantified via radioimmunoassay, and hatchling sex was identified. We found that late‐season eggs had higher maternal oestrogen concentrations and were more likely to produce female hatchlings. The sex ratio reaction norm curves systematically varied with season, such that with even a slight increase in temperature (0·5 °C), late‐season eggs produced up to 49% more females than early‐season eggs.

We found a seasonal shift in sex ratios which creates the potential for sex‐specific phenotypic matches across the nesting season driven by maternal effects. We also describe, for the first time, systematic variation in the sex ratio reaction norm curve within a single population in a species with TSD.

A lay summary is available for this article.
Out‐of‐plane effects in 2D borehole‐to‐surface resistivity tomography and applications in mineral exploration
Authors: Zhang Gang , Zhang Gui‐Bin , Jia Zheng‐yuan , Lü Qing‐Tian 
Published: November 2016

ABSTRACTIn this paper, we discuss the effects of anomalous out‐of‐plane bodies in two‐dimensional (2D) borehole‐to‐surface electrical resistivity tomography with numerical resistivity modelling and synthetic inversion tests. The results of the two groups of synthetic resistivity model tests illustrate that anomalous bodies out of the plane of interest have an effect on two‐dimensional inversion and that the degree of influence of out‐of‐plane body on inverted images varies. The different influences are derived from two cases. One case is different resistivity models with the same electrode array, and the other case is the same resistivity model with different electrode arrays. Qualitative interpretation based on the inversion tests shows that we cannot find a reasonable electrode array to determine the best inverse solution and reveal the subsurface resistivity distribution for all types of geoelectrical models. Because of the three‐dimensional effect arising from neighbouring anomalous bodies, the qualitative interpretation of inverted images from the two‐dimensional inversion of electrical resistivity tomography data without prior information can be misleading. Two‐dimensional inversion with drilling data can decrease the three‐dimensional effect. We employed two‐ and three‐dimensional borehole‐to‐surface electrical resistivity tomography methods with a pole–pole array and a bipole–bipole array for mineral exploration at Abag Banner and Hexigten Banner in Inner Mongolia, China. Different inverse schemes were carried out for different cases. The subsurface resistivity distribution obtained from the two‐dimensional inversion of the field electrical resistivity tomography data with sufficient prior information, such as drilling data and other non‐electrical data, can better describe the actual geological situation. When there is not enough prior information to carry out constrained two‐dimensional inversion, the three‐dimensional electrical resistivity tomography survey is the better choice.
Asset Growth and Stock Performance: Evidence from REITs
Authors: Ling David C. , Ooi Joseph T.L. , Xu Ruoran 
Published: November 2016

AbstractIn this article, we examine the impact of asset growth rates on the future stock performance of 308 publicly traded real estate investment trusts (REITs). We observe that fast‐growing REITs tend to underperform slow growing REITs. However, we find evidence that the growth effect is significantly less negative for REITs selling at a premium to net asset value. In addition, we observe the asset growth effect only in the subsample of REITs that engages in equity issuance over the next 12 months. The combined evidence suggests contemporaneous equity dilution, which has not been considered in previous studies, may provide an explanation for the underperformance of fast‐growing firms.