bluuebunny/crossref_metadata_2025_split huggingface dataset:
A design of wetsuit based on 3D body scanning and virtual technologies
Authors: Wu Xinzhou , Kuzmichev Victor 
Published: November 2020

PurposeThe purpose of this paper is to present a method of digital twins of female bodies and the optimization of wetsuit patterns with the help of virtual technologies.Design/methodology/approachFirst, the new anthropometrical grouping of female torsos has been developed with 3D body scanning technology. Second, soft tissue deformation under the influence of typical diving postures and hydraulic pressure has been explored. Through real experiments, the relationship between textile material strain and body measurement changing has been applied to establish deformed digital twins of female bodies. Finally, during the evaluation of the virtual wetsuit test on digital twins through material strain and pressure values in CLO 3D, the optimized pattern of the wetsuit has been designed.FindingsThe experimental results show that the digital twins based on real data transformation are feasible and practical, and the process of establishing digital twins with 3D body scanning technology is valid and accurate.Originality/valueThe researches on the wetsuit of structure and body dynamic measurements still have many gaps existing in the real and virtual experiments. Thus the manuscript addresses these issues and provides the deformed digital twin for wetsuit pattern design for the first time. This study can be used for designing and optimizing the wetsuit and further improving the efficiency of manufacture and evaluation.
Energy efficiency in logistics through service modularity: the case of household waste
Authors: Wehner Jessica , Altuntas Vural Ceren , Halldórsson Árni 
Published: November 2020

PurposeService modularity promotes efficiency at the provider end of the supply chain and customisation at the customer end. The purpose of this paper is to investigate how logistics service modularity contributes to sustainable development through the means of energy efficiency. This is analysed in the context of logistics services for household waste collection.Design/methodology/approachA single case study methodology with embedded units is adopted where semi-structured interviews were conducted with a waste service provider (WSP) and buyers (municipalities) in Sweden, focussing on five types of logistics services for waste collection: collection of food and residual waste at apartments and one-family houses, as well as collection of gardening waste. Service modules are identified and analysed by blueprinting the service.FindingsThe findings show different service modules – standardised or customised – and their contribution to sustainable development operationalised through energy efficiency. Principles for an energy-centric service design are proposed.Research limitations/implicationsThe research is limited to Swedish household waste collection setting. Promising efficiency through standardisation, logistics service modularity has a potential to improve energy efficiency as well. This neglected link between sustainability and service modularity offers fruitful research avenues.Practical implicationsThis research is of practical relevance to waste logistics service providers and the municipality by suggesting principles for energy-centric service design. The service blueprint enables using logistics service modularity for improving energy efficiency in different logistics service settings.Originality/valueThis research incorporates an environmentally sustainable development perspective into logistics service modularity and contributes to the literature by exploring how energy efficiency is improved by modular design of logistics services. Furthermore, the study is one of the first to use service blueprinting to analyse logistics service modularity, providing a methodological contribution to that field in general and logistics in particular.
Curriculum up-gradation practices among higher education institutions of Pakistan: does curriculum ideologies make difference?
Authors: Asad Muhammad Mujtaba , Rind Amjad Ali , Khand Zahid Hussain , Rind Irfan Ahmed , Mughal Shahid Hussain 
Published: November 2020

PurposeThe purpose of this study was to find out the perception of prospective teachers and teacher educators regarding the curriculum ideologies. The student–teachers and teacher educators from a public university of Pakistan participated in the study.Design/methodology/approachThe current study has employed quantitative approach and used descriptive survey research design. The data was collected through the convenience sampling techniques. The data was collected through a questionnaire developed by Schiro in 2008. The questionnaire consisting of six parts and each part contains four statements on the curriculum ideologies of Scholar Academy, Social efficacy learner centered and social reconstruction ideology. The population of study comprised of 200 Prospective teachers of education department of a public sector University of Sindh, Pakistan. The data was collected by using 4-point Likert scale. The likert scale was ranging from the first priority to least priority. The reliability statistics was computed through Cronbach alpha α = 0.763. The data was analyzed through Statistical package for social science (SPSS) version 23.0 and mean and percentages were computed in this study.FindingsThe findings of the study revealed that most of the prospective teachers as well faculty members are following the scholar academy ideology to align with national goals of curriculum. The prospective teachers and faculty members believe that knowledge should be transferred from the institutions to the learners rather than the knowledge can be disseminated from the other sources as per the new dimensions for updated curriculum.Practical implicationsThe current study suggests curriculum ideology awareness programs should be given to prospective teachers and faculty members before their induction. The study also recommends that a survey study can be conducted from teachers and teacher educators before designing the national curriculum of Pakistan because majority of participants believed that knowledge can only be transferred from institutions.Originality/valueThis empirical study has given thoughtful insights to investigate the curriculum ideologies with new dimensions for those who are studying in teacher education courses and for their mentors. So, this study has contributed new knowledge in the context of Sindh, Pakistan specifically in the domain of curriculum ideologies and frameworks.
Corporate real estate ownership, cash and credit ratings
Authors: Ivanov Stoyu I. , Faulkner Matthew 
Published: November 2020

PurposeRecently, multiple examples of large firms acquiring real estate have polarized investors. Who are the firms investing in real estate and what are their characteristics? How does this investment in owning commercial real estate relate to cash holding policies? Is owning commercial real estate associated with better credit ratings? This study questions commonly held beliefs in finance that firms prefer to lease their real estate rather than own it and examines what are the differences in outcomes between the choices.Design/methodology/approachThe authors identify three testable hypotheses based on the research questions and prior literature. The authors use univariate and multivariate analyses to test these hypotheses along with thorough robustness and addressing of endogeneity issues to confirm that our results hold in a variety of settings. The authors employ new proxies of real estate to the literature from Bloomberg and firm level data from Compustat.FindingsThe authors show that more firms within the S&P 500 choose to own commercial real estate. The authors also find many significant differences in corporate characteristics between firms who own real estate and those who do not, such that firms with real estate ownership have significantly: higher growth opportunities, higher R&D expenses, higher working capital levels, lower capital expenditures, higher leverage and higher cash flow. Firms with corporate real estate (CRE) ownership hold less cash. Contingent on real estate ownership, firms have higher cash holdings as their real estate holdings increase. Last, firms with commercial real estate ownership have higher credit ratings.Originality/valueOne of the main contributions of this study is in the use of a new specific proxy using data on corporate land, buildings and construction in progress, which to the best of our knowledge has not been done in the past. Other studies focus on aggregate property, plant and equipment data which blurs the CRE ownership picture. Additionally, the authors provide an underexplored variable of CRE ownership to its impacts of cash holdings and credit ratings, which had yet to be uncovered.
A leader–network exchange theory
Authors: Escórcio Soares André , Pereira Lopes Miguel , Geremias Rosa Lutete , Glińska-Neweś Aldona 
Published: November 2020

PurposeWe propose an integrative model of how leaders (individual level) effectively relate to their social networks as a whole (network level). Additionally, we focus both on the leader constructs and the followers shared constructs about those networks.Design/methodology/approachOur conceptual paper uses the integration of literature from two main bodies of knowledge: individual and shared cognitions, fundamentally from psychology, and a structural perspective, mainly from sociology, organisational studies and social network analysis. We take a psycho-structural approach which allows the emergence of new perspectives on the study of leadership and more specifically on the study of relational leadership.FindingsWe propose a leader-network exchange (LNX) theory focussed on the behaviours and cognitions of leaders and followers as well as the relations between them.Research limitations/implicationsOur model represents a new perspective on leader–followers relationship by stressing the importance of both followers and leaders' cognitions. We highlight the importance of the relationships between followers on the creation of shared meaning about the leader.Practical implicationsOur model helps leaders and managers make sense of the cognitions and behaviours of their teams. By considering the teams characteristics, i.e. cognitions and network structure, it allows leaders to adopt the most appropriate behaviours for effective leadership. Leadership and management development programmes designed around our model will enhance the use of networking skills.Originality/valueContrary to the traditional view of LMX, our approach considers the social context of leaders and followers. It also adds a new layer of knowledge going beyond what members think of their leaders by considering the social networks of leaders and followers.
Internationalisation of developing economy small and medium-sized enterprises: social capital and learning in Palestinian pharmaceutical firms
Authors: Khoury Grace , El-Far Mira T. , Khoury Elena Noor , Tovstiga George 
Published: November 2020

PurposeThe paper examines the role of learning through social capital on the internationalisation process of small and medium-sized enterprises (SMEs) based within extreme contexts. The study focuses on the Palestinian pharmaceutical industry.Design/methodology/approachThe inductive, exploratory research used in this study adopts a case study approach. Data derived from semi-structured in-depth interviews held with senior management and companies' founders were analysed using content and thematic analysis techniques.FindingsThe findings suggest that accumulated learning by SMEs seeking international expansion is enhanced with stronger social capital ties and networks through structural, relational and cognitive mechanisms. Serendipity and liability effects enabled modes of foreign entry with higher degrees of commitment than efficacy-related factors.Practical implicationsThe Palestinian pharmaceutical industry presents a benchmark for other industries in comparable developing economy contexts. This study elucidates the important interrelationship between social capital and learning for SMEs seeking to expand internationally; the findings have implications for regional policymaking in developing economy regions.Originality/valueThe case study investigation focuses on the pharmaceutical industry and SMEs operating within the extreme context of Palestine, thereby contributing insights in an area of management enquiry that is under-represented in the extant literature.
Assessment for the implementation of a national greenhouse gas inventory: the case of Japan
Authors: Kawanishi Masato , Fujikura Ryo 
Published: November 2020

PurposeBy applying a framework for implementation analysis, the authors aim to examine the evolution of Japan's national greenhouse gas (GHG) inventory, assess the extent to which each condition for effective implementation has been met and identify factors that may contribute to transparency-related capacity building in developing countries.Design/methodology/approachThe case description was based on interviews and document reviews. The authors coded the collected data into the variables as identified under the framework for implementation analysis, and they evaluated the effectiveness according to the code of assessment.FindingsFirst, this study finds that the development of the endogenous research base can contribute to the continuous improvement in GHG inventories. Second, it highlights the boundary-spanning role played by a private-sector actor's facilitation of interactions among relevant actors. Third, the assessment revealed the criticality of the causal linkage, pointing to the importance of a commitment to emission reductions as a strong driver for the quality improvement of GHG inventories. Lastly, this study indicates a lack of data compatibility, which may potentially hinder effective policy implementation, suggesting the importance of integrated development of the national statistics.Originality/valueThe primary contribution of this paper lies in its use of a framework for implementation analysis, creating new possibilities for both practitioners and researchers. The present study pays attention to the fact that the national GHG inventory preparation, although a highly technical task, is crucial to each country's climate change policy implementation, an aspect that has not been focused on by prior studies.
Thermally induced vibrations in an inhomogeneous fiber-reinforced thermoelastic medium with gravity
Authors: Deswal Sunita , Poonia Ravinder , Kalkal Kapil Kumar 
Published: November 2020

PurposeThe present investigation is concerned with the two-dimensional deformations in an inhomogeneous fiber-reinforced thermoelastic medium under the influence of gravity in the context of Green–Lindsay theory.Design/methodology/approachMaterial properties are supposed to be graded in x-direction, and normal mode technique is adopted to obtain the exact expressions for the temperature field, displacement components and stresses.FindingsNumerical computations have been carried out with the help of MATLAB software, and the results are depicted graphically to observe the disturbances induced in the considered medium. Comparisons made within the theory of the physical quantities are shown in figures to highlight the effects of fiber reinforcement, inhomogeneity parameter, gravity and time.Originality/valueIn the present work, we have investigated the effects of fiber reinforcement, inhomogeneity parameter, gravity and time in an inhomogeneous, fiber-reinforced thermoelastic medium under the influence of gravity. Although various investigations do exist to observe the disturbances in a thermoelastic medium under the effects of different parameters, the work in its present form i.e. thermally induced vibrations in an inhomogeneous fiber-reinforced thermoelastic material with gravity has not been studied till now. The present work is useful and valuable for analysis of problems involving thermal shock, gravity parameter, fiber reinforcement, inhomogeneous and elastic deformation.
Neighbourhood attachment and satisfaction: a Hong Kong’s case study
Authors: La Grange Adrienne , Yau Yung 
Published: November 2020

Purpose
This paper aims to study neighbourhood attachment and satisfaction in a middle-class, high-density and semi-gated neighbourhood in Hong Kong.

Design/methodology/approach
Drawing on the findings of survey on 356 households, a principal component analysis and hierarchical regression analysis were conducted to assess how attachment and satisfaction were manifested and whether they were manifested as separate phenomena.

Findings
Attachment and satisfaction in neighbourhoods were manifested as separate phenomena. It was further found that residents were broadly attached to and satisfied with their neighbourhood. Of the neighbourhood characteristics identified as influencing satisfaction in previous research, the support was found only for the physical environment and safety but concluded that satisfaction was also influenced by status, neighbourhood youths’ ambition and schools. Contrary to the expectation, the authors did not find support for deeper social bonds as an element of satisfaction. The hierarchical regression analysis indicated that satisfaction may lead to increased attachment.

Social implications
This study offers policymakers and housing managers’ valuable insights into the management of increasingly large and complex residential neighbourhoods. It helps us understand which initiatives are likely to lead to greater attachment.

Originality/value
Previous studies have focused on neighbourhood attachment and satisfaction in typical low/medium-density settings. This study extends previous efforts to a high-density housing estate of Hong Kong.
Women and work: film analysis of Most Beautiful Thing
Authors: Teixeira Marcella Barbosa Miranda , Galvão Laila Lidiane da Costa , Mota-Santos Carolina Maria , Carmo Luana Jéssica Oliveira 
Published: November 2020

PurposeThis article aims to present aspects related to women’s personal life and work illustrated in the TV series Most Beautiful Thing (Coisa Mais Linda, in Portuguese).Design/methodology/approachTo this end, a film analysis was carried out considering the first season of the TV series Most Beautiful Thing, and to analyze the data, qualitative content analysis was used according to Bardin (2006).FindingsThe analysis showed that women’s struggles were and are distinct. While white women are fighting for the right to work - concomitantly reconciling their roles as mother, wife and housewife -, black and poor women fight for survival and dignity. As result, the film analysis showed that women’s search for a different social position is related to an inherent cultural aspect. It is relevant to mention herein that this struggle remains up to the present; such struggle is characterized by the occultation of the social role played by women.Research limitations/implicationsAs a limitation, there are few studies that address the theme of white and black women during the period reported in the series.Originality/valueThe main contribution of this article is the use of a filming product that portrays the 1950s, but bringing current discussions on the role of women in society, especially regarding the labor market, the patriarchal domination of men, prejudice, racial, and class discrimination.
Deep learning assisted well log inversion for fracture identification
Authors: Tian Miao , Li Bingtao , Xu Huaimin , Yan Dezhi , Gao Yining , Lang Xiaozheng 
Published: November 2020

ABSTRACTManual fracture identification methods based on cores and image logging pseudo‐pictures are limited by the expense and the amount of data. In this paper, we propose an integrated workflow, which takes the fracture identification as an end‐to‐end project, to combine the boundary detection and the deep learning classification to recognize fractured zones with accurate locations and reasonable thickness. We first apply the discrete wavelet transform algorithm and a boundary detection method named changing point detection to enhance the fracture sensibility of acoustic logs and segment the whole logging interval into non‐overlapping subsections by estimating boundaries. The deep neural network based auto‐encoders and the convolutional neural network classifier are then implemented to extract the hidden information from logs and categorize the subsections as the fractured or non‐fractured zones. To validate the feasibility of this workflow, we apply it to the logging data from a real well. Compare with the benchmarks provided by the support vector machine , random forest and Adaboost model, the one‐dimensional well profile predicted by the proposed changing point detection‐deep learning classifier is more consistent with the manual identification result.
What drove income inequality in EU crisis countries during the Great Recession?
Authors: Doorley Karina , Callan Tim , Savage Michael 
Published: November 2020

AbstractConcern about rising inequality in advanced economies increased with the advent of the Great Recession in 2007. Rising unemployment and fiscal consolidation were expected to lead to greater inequality. We examine how the distribution of income in the EU countries that were hardest hit during the recession evolved over this time. We decompose the overall change in income inequality in Portugal, Ireland, Italy, Greece and Spain into parts attributable to changes in employment and wages, demographic changes, discretionary tax–benefit policy and automatic stabilisation effects. We implement this approach using the microsimulation model, EUROMOD, linked to EU‐SILC survey data. Employment and wages were the main drivers of market income inequality increases. Automatic stabilisation effects, particularly through benefits, are found to play an important role in reducing inequality in all of the crisis countries. Their role is less important if we focus on the working‐age population only, due to the limited nature of working‐age benefits in southern European welfare systems. Discretionary policy changes also contributed to reductions in inequality, but to a much lesser extent.
Recommendations for capturing signatures digitally to optimize their suitability for forensic handwriting examination
Authors: Geistová Čakovská Barbora , Kalantzis Nikolaos , Dziedzic Tomasz , Fernandes Carina , Zimmer Jan , Branco Maria João , Heckeroth Jonathan , Spjuth Kristofer Axelsson , Kupferschmid Erich , Vaccarone Paolo , Kerkoff Axel 
Published: November 2020

AbstractThe use of digitally captured signatures in everyday course of business increases annually and, compared to pen and paper signatures, provides various advantages concerning the administration of documents. These signatures may also become subjects of a forensic handwriting examination and, therefore, in order to optimize their suitability for this purpose, they should satisfy several requirements. This paper presents recommendations drawn up by forensic handwriting examiners associated with ENFHEX (ENFSI) in a project aimed at defining best practices in forensic examination of digitally captured signatures. The paper is dedicated mainly to hardware and software developers, providers, and user institutions of digitally captured signature technologies to improve their practice to a level optimized for forensic handwriting examination. The most important requirements outlined in this paper concern digitally captured signature data, hardware, and software used to acquire these data, as well as optimized signing conditions. Following these requirements ensures the suitability of signature data for forensic handwriting examination and, consequently, increases the reliability of the associated electronic documents. In spite of rapidly evolving technology, they can serve as a solid basis for understanding and consideration of the optimal use of digitally captured signatures for signing electronic documents.