bluuebunny/crossref_metadata_2025_split huggingface dataset:
Finite element implementation of viscoelastic and viscoplastic models
Authors: Sepiani Hossein , Polak Maria Anna , Penlidis Alexander 
Published: March 2020

Purpose
The purpose of this study is to present a finite element (FE) implementation of phenomenological three-dimensional viscoelastic and viscoplastic constitutive models for long term behaviour prediction of polymers.

Design/methodology/approach
The method is based on the small strain assumption but is extended to large deformation for materials in which the stress-strain relation is nonlinear and the concept of incompressibility is governing. An empirical approach is used for determining material parameters in the constitutive equations, based on measured material properties. The modelling process uses a spring and dash-pot and a power-law approximation function method for viscoelastic and viscoplastic nonlinear behaviour, respectively. The model improvement for long term behaviour prediction is done by modifying the material parameters in such a way that they account for the current test time. The determination of material properties is based on the non-separable type of relations for nonlinear materials in which the material properties change with stress coupled with time.

Findings
The proposed viscoelastic and viscoplastic models are implemented in a user material algorithm of the FE general-purpose program ABAQUS and the validity of the models is assessed by comparisons with experimental observations from tests on high-density polyethylene samples in one-dimensional tensile loading. Comparisons show that the proposed constitutive model can satisfactorily represent the time-dependent mechanical behaviour of polymers even for long term predictions.

Originality/value
The study provides a new approach in long term investigation of material behaviour using FE analysis.
Airbnb – exploring triple bottom line impacts on community
Authors: Caldicott Rodney W. , von der Heidt Tania , Scherrer Pascal , Muschter Sabine , Canosa Antonia 
Published: March 2020

PurposeThis paper aims to purposely place community and its stakeholders at the forefront of an investigation of positive and negative social, economic and environmental impacts of the sharing economy in the specific context of Airbnb by drawing upon the triple bottom line (TBL) framework of sustainability.Design/methodology/approachA qualitative enquiry through a “scoping approach” with the search of relevant electronic databases identified a range of conceptual and empirical studies in the period from 2008 to 2018 informing a profile focussed on the triple bottom line impacts.FindingsThe criteria limited search yielded 23 focal articles, which investigated or discussed Airbnb impacts on local communities. Analysis of these articles informed a three-pillar tabulation of positive and negative impacts, which are presented against four key stakeholder groupings.Research limitations/implicationsThe study is exploratory, and further research, especially confirmatory research, is recommended.Practical implicationsThe study’s value extends to praxis. Guided by findings, real-time planning and policy-making are already underway within the authors’ community. Additionally, an extension project, as requested by the community, is now investigating direct traditional accommodation provider impacts.Social implicationsUnderstanding of the social issues concerning Airbnb and indeed, the wider sharing economy, is broadened through identified need for further social impact research.Originality/valueTo the best of authors’ knowledge, this is one of the first studies to apply a “scoping approach” to holistically illuminate the positive and negative impacts of Airbnb at the micro-level in each of the three domains of sustainability. The research methodology is shown to be effective, with positive community impact, and will easily adapt to other destinations grappling with policy decisions.
Innovation and institutions’ quality: a comparative study between countries
Authors: Kawabata Marcelo Koji , Camargo Junior Alceu Salles 
Published: March 2020

PurposeInnovation has been considered as an essential activity for companies to compete in modern and dynamic business environments. For the nations, innovation is considered a fundamental key activity for sustaining economic growth and competitive advantage over other countries. This paper aims to achieve a better understanding of the relationship between the quality of a country’s institutions and its levels of innovation activities and results.Design/methodology/approachControlling for the effects of the efforts and investments in research and development (R&D) and the foreign direct investments (FDI), this work proceeds to regression analysis to obtain the association between the quality of countries’ institutions and their innovation activities. Data was obtained from the Global Innovation Index (GII) for innovation activities and the Worldwide Governance Index, of the World Bank, for the quality of institutions for 127 countries.FindingsThe results show that the effectiveness of public administration and the regulatory quality are the quality of institution variables associated with the innovation activities. Also, this paper obtained a clustering of countries with a rank regarding not only innovation activities but also the conditions of the institutions’ quality, based on government effectiveness, regulatory quality, R&D, FDI and GII. This new compounded classification divided the 127 countries into three clusters – mature innovators, fresh innovators and structuring for innovation.Originality/valueNew forms of innovations’ ranking viewing can help to understand the conditionings that enhance countries’ and institutions’ competitiveness.
Macrologistic performance and logistics commitments in sales contracts in international supply chains
Authors: Stojanović Đurđica M. , Ivetić Jelena 
Published: March 2020

PurposeThis study aims to illuminate the relationship between the logistic performance indexes (LPIs) of trade countries and sharing obligations related to logistics services in delivery among parties in international sales contracts.Design/methodology/approachA comprehensive one-year database of Serbian international trade flows is used. The LPIs of 148 countries are related to the Incoterms®rules in international sales contracts that designate the division of obligations between exporters and importers for moving goods. Empirical data were subjected to statistical analysis, where nonparametric correlation and inferential methods were applied. The differences between countries with the highest and lowest LPIs were also examined.FindingsLPIs positively correlate with logistics commitments in exports and imports. Their impact on the choice of Incoterms®rules differs among the groups of trade terms. Waterway andD-terms are the most sensitive. LPIs of trade countries clearly impact “emission” and “attraction” of the most extended sellers' delivery obligation “packages,” expressed inDrules.Research limitations/implicationsThe empirical data are limited to a single country. Further research must explore the relative impact of macrologistic factors on exporters and importers' logistics commitments for building better decision-making support tools.Practical implicationsThe results may support suppliers and buyers in sharing their experiences on Incoterms®practice and encourage more rational than intuitive decisions.Originality/valueThis is the first empirical study to quantitatively evidence the sensitivity of groups of Incoterms®rules on the macrologistic environment of trade countries.
Somatic symptoms among prison inmates: contributions of emotion regulation, dispositional mindfulness, and duration of stay in prison
Authors: Ifeagwazi Chuka Mike , Nwokpoku Emeka E. , Chukwuorji JohnBosco Chika , Eze John E. , Abiama Emmanuel Ekpedoho 
Published: March 2020

Purpose
The modern prison system is not only a necessity to keep the public safe but also a mode of punishment for crimes. The correctional role of prisons is hampered in situations of mental illness, given that mental illness in the prison or correctional setting is a serious security risk. Few studies have given attention to the modifiable factors that may influence the mental health status of prison inmates, especially in developing countries. The purpose of this paper is to investigate emotion regulation (ER), dispositional mindfulness and duration of stay as factors in somatic symptoms among prison inmates.

Design/methodology/approach
Participants were 209 prison inmates drawn from a prison in Eastern Nigeria, who completed measures of ER (cognitive reappraisal and expressive suppression), mindfulness and somatization.

Findings
Results of a hierarchical multiple regression indicated that cognitive reappraisal predicted somatic complaints but it was only among older prison inmates, while expressive suppression was not a significant predictor of somatic complaints. Dispositional mindfulness was a negative predictor of somatic complaints among younger and older prison inmates. Duration of stay in prison positively predicted somatic complaints among prison inmates in emerging adulthood only (younger inmates), but not among older inmates.

Research limitations/implications
Frequent use of cognitive reappraisal strategy of ER by prisoners may not always be productive in reducing somatic complaints, and the length of time in prison may influence somatic symptoms especially for younger prisoners. The possible benefits of incorporating mindfulness-based therapies in psychosocial interventions to reduce somatic complaints in correctional settings deserves further investigation.

Originality/value
To date, there is limited research on somatic complaints of prisoners in the developing societies, particularly the psychosocial factors that may contribute to mental health problems.
Communicating science in higher education and research institutions
Authors: Schwetje Thorsten , Hauser Christiane , Böschen Stefan , Leßmöllmann Annette 
Published: March 2020

PurposeThe paper reports on a research project exploring the change in the organizational context of communicators and communication units in higher education and research institutions (HERIs), the importance of informal processes within their daily work and the great diversity of expectations communicators have to tackle.Design/methodology/approachBased on a literature review, a mixed-methods study combining expert interviews with 54 German HERI heads of communication units, an online-survey and a document analysis of organizational characteristics was conducted. Findings were validated in four focus groups.FindingsThe study illuminates the impact of organizational and operational structures of HERIs on communicators and their boundary spanning activities. Due to varying expectations of stakeholders, communicators constantly have to switch roles. Members of HERIs' executive boards affect status and working conditions for communicators in the organization.Research limitations/implicationsInterviews with other HERI actors, especially members of the executive board, are proposed to get more thorough insights into the organizational context of HERIs and the mutual expectations of different internal stakeholders.Practical implicationsInsights from the project may help HERI actors to reflect their organizational context and to identify potentially contentious structures or processes.Originality/valueCommunicating science sometimes clashes with complex organizational and operational structures. Despite the “organizational turn” in HERI research, there is a lack of data on the relation between communicators, their communication units and the larger organizational context. The exploratory study addresses this gap.
Dynamics of capital controls: panel evidence from Asia
Authors: Guru Biplab Kumar , Yadav Inder Sekhar 
Published: March 2020

PurposeThis study empirically examines the effect of capital controls on the volume and composition of capital flows at aggregated as well as at disaggregated level by different asset classes such as debt, FDI, equity, and derivatives.Design/methodology/approachSeveral dynamic panel SYS-GMM models are employed on two sets of unique data on cross-border capital flows and capital control index along with control variables at aggregated and disaggregated level by different asset classes during 1995–2015 for a sample of 31 Asian economies.FindingsEconometric findings suggest that higher capital controls effectively reduce gross capital flows. The reduction in gross capital flows is largely found to be on account of effectiveness of controls on equity flows. However, the impact of controls on overall debt and derivative flows is found to be insignificant. Further, it was found that an increase in direct capital controls disaggregated by inflow and outflow categories significantly reduced the inflow of debt and equity + FDI flows and outflow of equity + FDI and derivative flows. Finally, the study did not find any substitution effect (due to indirect controls) and net effect on capital flows.Practical implicationsResults of such empirical examination may enable governments in respective countries to pursue prudent and rational capital controls as a shield against capital flight and shock transmission.Social implicationsPreventing capital flight through effective controls has macroeconomic benefits such as maintaining stability in income, growth, interest rate, exchange rate, and employment levels for the society.Originality/valueThe primary contribution of the study is the analysis of effectiveness of capital controls disaggregated by different asset categories such as debt, equity, FDI, and derivatives using two unique recent data sets for a large sample of Asian economies.
Issues and challenges of user and data interaction in healthcare-related IoT
Authors: Zou Ning , Liang Shaobo , He Daqing 
Published: March 2020

PurposeThe Internet of Things (IoT), which enables smart objects to collect and exchange data, has a variety of application domains used in everyday life including healthcare. As a set of promising next-generation technologies in the healthcare domain, Healthcare-related Internet of Things (H-IoT) promises to facilitate better healthcare by offering data-driven insights. While effective in practice at large, emerging data concerns arise because of the inscrutable black-box systems. Inspired by the notion of human data interaction, this paper seeks to understand how people engage with the H-IoT data that is about and produced by themselves and to elucidate the main data issues and challenges involved in the development of H-IoT.Design/methodology/approachThis work conducted a comprehensive survey and integrated the method of content analysis by systematically review the recently published H-IoT research work in the healthcare domain.FindingsThis study thoroughly surveyed more than 300 research studies published in the last decades and classified seven H-IoT end-user groups, and three H-IoT data types that are important to H-IoT comprehension. Attention to human data interaction, our study also highlights several critical issues associated with this notion in the context of H-IoT.Originality/valueThis study will support H-IoT research by characterizing the data issues and challenges exist in the context of H-IoT user and data interaction. The findings will provide insights in designing for effective interactions with data in the H-IoT.
What drives Instagram usage? User motives and personality traits
Authors: Kocak Esra , Nasir V. Aslihan , Turker Hande B. 
Published: March 2020

PurposeSocial networking sites (SNS) have become extensively used communication environments as a result of the advancements in online technologies, and among various SNS platforms, Instagram is currently the most prominent image-based network. Since usage motives for alternative SNS environments with different outstanding benefits are expected to vary, this study has focused mainly on extracting the key context-specific usage motives of Instagram. Another purpose of this study is to figure out personality traits differences among Instagram user segments.Design/methodology/approachAn online survey was designed, and a total of 690 fully completed questionnaires was collected, and 507 of the respondents were Instagram users. After conducting factor analysis, six main usage motive categories have been revealed and named as self-expression, recording, socialization, recreation, creativity, and prying.FindingsInstagram users have been clustered as passionate, distant, and spectator users based on their usage motives. Ultimately, personality differences among these clusters have been explored using the Big Five Inventory (BFI) and two additional traits, social interaction anxiety, and fear of negative evaluation. Openness to experience, social interaction anxiety, and fear of negative evaluation were found to be significantly different among these clusters.Originality/valueDiscovering the motives of SNS usage, segmenting users based on these motives, and then portraying the personality traits of each segment gives important clues about how SNSs can better design their interfaces and generate content for attracting users in different segments.
Balancing deterrence: Iran-Israel relations in a turbulent Middle East
Authors: Maher Nora 
Published: March 2020

PurposeThis paper aims to examine the regional dynamics that further consolidated Israel’s national security in the Middle East in the aftermath of the Arab Spring, reflecting upon the nuclear challenge between Iran and Israel and Iran's expanding activities in the region.Design/methodology/approachTo prove the central argument, the study uses a conceptual framework that centers on deterrence as the main approach used by states to consolidate their influence in the Middle East region.FindingsIran's nuclear progress and influence in the region has strengthened Israel’s security and fostered an unprecedented open rapprochement led by USA efforts with the Gulf regimes.Originality/valueThe paper draws particular attention to the Iran–Israel nuclear competency, and the Israeli preferred policy options regarding Iranian activities in the region amid turbulent Middle East. In addition, the paper offers insight to the regional dynamics that further consolidated Israel’s national security in the region while maintaining a status of Arab vulnerability and backwardness.
How software developers instigated the transformation of management
Authors: Denning Stephen 
Published: March 2020

Purpose
When firms embrace an adaptive interactive development mindset—obsessing over the needs of customers, systematically working in small self-organizing teams working in short cycles, operating as a network rather than command-and-control hierarchy—its software developers can work with management to innovate new customer value.

Design/methodology/approach
The article identifies the reasons that the need for innovative, rapid software developments has had on the way corporations are organized and managed.

Findings
Software development went from being a drag on organizational performance to being a key driver of success.

Practical implications
Business agility thus isn’t just a matter of applying agile software practices to other functions.

Originality/value
Computer software, including artificial intelligence, machine learning and cloud computing, is now enabling, improving or accelerating almost everything that humans, machines and organizations do. This article explains why an Agile mindset is the key to winning in the competitive race to offer high-value, innovative, digitally powered products and services.
Initial development of a measure of evidence‐informed professional thinking
Authors: Benfield Angela M. , Johnston Mark V. 
Published: March 2020

AbstractBackground and aimsA number of theories have been proposed on clinical expertise and its development in occupational therapy and allied health professions. Clinical reasoning, outcome measurement and evidence‐based practice are names for leading conceptualisations. The aim of this research was to develop an operational measure of habits of mind and practice that constitute these desirable professional activities amongst professional therapists.MethodsItems were developed on the basis of literature review and feedback from an expert panel. An online self‐report survey was completed by 107 occupational therapists and other allied health clinicians. Rasch analysis was used to identify and calibrate items that fit the criteria for equal‐interval measurement. Residuals from identified equal‐interval dimensions were examined using principal components analysis to identify multidimensionality.ResultsA two‐dimension solution employing 32 items was identified. The first dimension comprised items on Critical Clinical Reasoning and had an item separation of 8.49 (0.99 reliability) and a person separation of 2.93 (0.90 reliability). The second dimension comprised items on Evidence‐Informed Practice behaviours and had an item separation of 6.19 (0.97 reliability) and a person separation of 2.97 (0.90 reliability). These dimensions were positively correlated (r = .778,p < .001). We named the overall scale ‘Evidence‐Informed Professional Thinking’, or EIPT. The EIPT measures correlated significantly with 12 of 13 relevant external criterion items.ConclusionEvidence‐informed professional thinking can be measured in terms of two correlated probabilistically equal‐interval dimensions: Critical Clinical Reasoning and Evidence‐Informed Practice behaviours. The EIPT measure should be useful in research on development and application of clinical expertise, quality and outcomes of care and implementation of improved practices among practicing therapists in clinical treatment settings. Further research is recommended to understand the generalisability, strengths, limitations and correlates of EIPT.
Analyses of microRNAs and transcriptomes in the midgut of Spodoptera litura feeding on Brassica juncea
Authors: Zou Xiao‐Peng , Lin Yi‐Guang , Cen Yong‐Jie , Ma Kang , Qiu Bin‐Bin , Feng Qi‐Li , Zheng Si‐Chun 
Published: March 2020

Abstract
Spodoptera litura is a destructive agricultural pest in tropical and subtropical areas. Understanding the molecular mechanisms of S. litura adaptation to its preferred host plants may help identify target genes useful for pest control. We used high‐throughput sequencing to characterize the expression patterns of messenger RNAs (mRNAs) and microRNAs (miRNAs) in the midgut of S. litura fed on Brassica juncea for 6 h and 48 h. A total of 108 known and 134 novel miRNAs were identified, 29 miRNAs and 237 mRNAs were differentially expressed at 6 h of B. juncea feeding, 26 miRNAs and 433 mRNAs were differentially expressed at 48 h. For the mRNAs, the up‐regulated genes were mostly enriched in detoxification enzymes (cytochrome P450, esterase, glutathione S‐transferase, uridine diphosphate‐glucuronosyl transferase), while the down‐regulated genes were mostly enriched in proteinases and immune‐related genes. Furthermore, most detoxification enzymes begin to up‐regulate at 6 h, while most digestion and immune‐related genes begin to up‐ or down‐regulate at 48 h. Eighteen and 37 differently expressed transcription factors were identified at 6 h and 48 h, which may regulate the functional genes. We acquired 136 and 41 miRNA versus mRNA pairs at 6 h and 48 h, respectively. Some down‐regulated and up‐regulated miRNAs were predicted to target detoxification enzymes and proteinases, respectively. Real‐time quantitative polymerase chain reaction of nine randomly selected miRNAs and 28 genes confirmed the results of RNA‐seq. This analyses of miRNA and mRNA transcriptomes provides useful information about the molecular mechanisms of S. litura response to B. juncea.