bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analyzing Human Movements - Introducing A Framework To Extract And Evaluate Biomechanical Data
Authors: Richter Chris , King Enda , Strike Siobhan , Franklyn-Miller Andrew 
Published: October 2018

AbstractThis study discusses possible sources of discrepancy between findings of previous human motion studies and presents a framework that seeks to address these issues. Motion analysis systems are widely employed to identify movement deficiencies - e.g. patterns that potentially increase the risk of injury or inhibit performance. However, findings across studies are often conflicting in respect to what a movement deficiency is or the magnitude of the relationship to a specific injury. To test the information content of movement data, a framework was build to differentiate between movements performed by a control (NORM) and abnormal (IMP-L and IMP-C) cohort using solely movement data. Movement data was recorded during jumping, hopping and change of direction exercises and was mathematically decomposed into subject scores. Subjects scores were then used to identify the most appropriate machine learning technique, which was subsequently utilized to create a prediction model that classified if a movement was performed by: IMP-L, IMP-C or NORM. The Monte Carlo method was used to obtain a measure of expected accuracy for each step within the analysis. Findings demonstrate that even the worst classification model outperformed the best guess observed and that not all members of the NORM group represent a NORM pattern as they were repeatedly classified as IMP-L or IMP-C. This highlights that some NORM limbs share movement characteristics with the abnormal group and consequently should not be considered when describing NORM.
Strengthening risk prediction using statistical learning in children with autism spectrum disorder
Authors: Tanu Tanu , Kakkar Deepti 
Published: October 2018

Purpose
The purpose of this paper is to investigate the prediction ability in children with ASD in the risk-involving situations and compute the impact of statistical learning (SL) in strengthening their risk knowledge. The learning index and stability with time are also calculated by comparing their performance over three consecutive weekly sessions (session 1, session 2 and session 3).

Design/methodology/approach
Participants were presented with a series of images, showing simple and complex risk-involving situations, using the psychophysical experimental paradigm. The stimuli in the experiment were provided with different levels of difficulty in order to keep the legacy of the prediction and SL-based experiment intact.

Findings
The first phase of experimental work showed that children with ASD accurately discriminated the risk, although performed poorly as compared to neurotypical. The attenuated response in differentiating risk levels indicates that children with ASD have a poor and underdeveloped sense of risk. The second phase investigated their capability to extract the information from repetitive patterns and calculated SL stability value in time. The learning curve shows that SL is intact and stable with time (average session r=0.74) in children with ASD.

Research limitations/implications
The present work concludes that impaired action prediction could possibly be one of the factors underlying underdeveloped sense of risk in children with ASD. Their SL capability shows that risk knowledge can be strengthened in them. In future, the studies should investigate the impact of age and individual differences, by using knowledge from repetitive trials, on the learning rate and trajectories.

Practical implications
SL, being an integral part of different therapies, rehabilitation schemes and intervention systems, has the potential to enhance the cognitive and functional abilities of children with ASD.

Originality/value
Past studies have provided evidence regarding the work on the prediction ability in individuals with ASD. However, it is unclear whether the risk-involving/dangerous situations play any certain role to enhance the prediction ability in children with ASD. Also, there are limited studies predicting risk knowledge in them. Based on this, the current work has investigated the risk prediction in children with ASD.
A risk-responsive framework for green retrofit projects in Sri Lanka
Authors: Ranawaka Indeewari , Mallawaarachchi Harshini 
Published: October 2018

Purpose
The purpose of this paper is to evaluate the risks associated with green retrofit projects in Sri Lanka in order to develop a risk responsive framework.

Design/methodology/approach
The survey method under the quantitative approach was selected as the research methodology as this research is required evaluating the risks associated with green retrofit projects. Both preliminary survey and the main questionnaire survey were conducted to collect the data. The survey data were evaluated and analysed by using mode value as a descriptive statistical analysis technique, and the risk rating matrix.

Findings
The overall results of risk assessment deliberated that there are ten “critical” risk factors, such as construction cost, inflation, energy saving uncertainty, warranty risk, delay in project completion, productivity and quality risks, requirement of permits and their approval, design changes, damage to structure or property and procurement delay influencing green retrofitting. Finally, a risk responsive framework was developed by proposing suitable strategies for mitigating the risks associated with green retrofitting.

Practical implications
The developed framework can be used as a basis to mitigate the risks associated with green retrofitting projects. An abundant upgrade of existing high-rise buildings into green can be reached.

Originality/value
A little attention paid on green retrofitting and the absence of proper risk management strategy for green retrofit projects in current practice have made this research a paramount need and a focal point.
Consumer adoption of online food shopping in China
Authors: Wang Ou , Somogyi Simon 
Published: October 2018

Purpose
The purpose of this paper is to explore the impacts of innovation-adoption characteristics on Chinese consumers’ adoption of online food shopping. It also examines consumers’ online purchase preferences for specific food categories and the consumer segments shopping for food online in China.

Design/methodology/approach
The data were collected through a web-based survey (n=643, in three cities: Beijing, Guangzhou and Chongqing). Descriptive analysis, cluster analysis, factor analysis and structural equation modeling were employed for data analysis.

Findings
Participants had strong online purchase intentions toward snack and imported food, while they had weak online purchase intentions toward fresh food products such as meat, eggs, vegetables, fish and seafood. Two consumer segments were found: online-food-conservative (42 percent) and online-food-pioneer (58 percent). Factor analysis resulted in an adjusted factorial structure of the innovation-adoption characteristics, which was considered more appropriate within the context of Chinese consumers when shopping for food online. Path analysis found that Chinese consumers’ attitudes and/or purchase intentions were positively linked to their perceived incentives and negatively associated with their perceived complexity for online food shopping.

Originality/value
This is the first study to explore consumer segments, consumption psychology (innovation-adoption characteristics) and product preferences related to online food shopping with a sample from China, the largest e-commerce country. The findings can help food producers and marketers to better understand Chinese consumers’ online food shopping behaviors in order to meet the needs of consumers and have further success in this major market.
Business processes exceptions in relation to operational performance
Authors: Dijkman Remco , Turetken Oktay , van IJzendoorn Geoffrey Robert , de Vries Meint 
Published: October 2018

Purpose
Business process models describe the way of working in an organization. Typically, business process models distinguish between the normal flow of work and exceptions to that normal flow. However, they often present an idealized view. This means that unexpected exceptions – exceptions that are not modeled in the business process model – can also occur in practice. This has an effect on the efficiency of the organization, because information systems are not developed to handle unexpected exceptions. The purpose of this paper is to study the relation between the occurrence of exceptions and operational performance.

Design/methodology/approach
The paper does this by analyzing the execution logs of business processes from five organizations, classifying execution paths as normal or exceptional. Subsequently, it analyzes the differences between normal and exceptional paths.

Findings
The results show that exceptions are related to worse operational performance in terms of a longer throughput time and that unexpected exceptions relate to a stronger increase in throughput time than expected exceptions.

Practical implications
These findings lead to practical implications on policies that can be followed with respect to exceptions. Most importantly, unexpected exceptions should be avoided by incorporating them into the process – and thus transforming them into expected exceptions – as much as possible. Also, as not all exceptions lead to longer throughput times, continuous improvement should be employed to continuously monitor the occurrence of exceptions and make decisions on their desirability in the process.

Originality/value
While work exists on analyzing the occurrence of exceptions in business processes, especially in the context of process conformance analysis, to the best of the authors’ knowledge this is the first work that analyzes the possible consequences of such exceptions.
Know to grow: the role of knowledge integration in marketing dynamic capabilities
Authors: Zhang Xun , Xu Biao 
Published: October 2018

PurposeBased on the knowledge-based view, this paper aims to uncover the formation mechanism of marketing dynamic capabilities (MDCs) in international firms and to examine the moderating effects of learning culture, organizational structure and institutional distance on knowledge and knowledge integration.Design/methodology/approachThis study used a survey of 223 Chinese international firms and applied partial least squares path modeling to test the conceptual model.FindingsThe results indicated that both market knowledge dimensions (i.e. knowledge breadth and knowledge depth) and knowledge integration constitute important sources of MDCs. Specifically, knowledge breadth has direct and indirect effect on MDCs, while knowledge depth has indirect effect on MDCs; knowledge integration mediates the effects of knowledge dimensions on MDCs. Formalization and institutional distance significantly moderate the relationship between the breadth of knowledge and knowledge integration, whereas the learning culture shows little moderating effect on the above paths.Originality/valueThe authors identify an association between the knowledge-based view and the dynamic capability view, suggesting that a firm’s essential capability of knowledge integration constitutes a genesis of MDCs. In addition, while knowledge breadth strengthens MDCs, knowledge depth carries no direct effect, indicating that the attributes of knowledge have asymmetric influences on MDCs. The indirect effects of knowledge on MDCs through knowledge integration vary under different organizational conditions and institutional distances.
Contextual determinants of HR professionals’ self-perceptions of unethical HRM practices
Authors: Simões Eduardo , Duarte Ana Patricia , Neves José , Silva Vítor Hugo 
Published: October 2018

PurposeThe purpose of this paper is to examine human resources (HR) professionals’ self-perceptions of ethically questionable human resource management (HRM) practices (i.e. disregard for the individual, favoring those in power and discrimination). The research sought specifically to determine how these perceptions are influenced by their organizations’ ethical infrastructure and corporate social responsibility (CSR) practices.Design/methodology/approachData were collected from 134 HR professionals using an anonymous structured questionnaire.FindingsThe scope of organizations’ ethics programs and the degree of importance given to developing an ethical infrastructure were found to predict the level of acceptance of unethical HRM practices related to discrimination. These practices are also less acceptable to professionals from organizations that are perceived as more socially responsible regarding their employees.Research limitations/implicationsAdditional studies with larger samples are needed to determine more clearly not only the influence of contextual determinants, but also the practical consequences of high levels of acceptance of unethical practices in HRM.Practical implicationsOrganizations can decrease their HR professionals’ acceptance of ethically questionable HRM practices by developing and emphasizing a strong ethical infrastructure and CSR practices, especially those affecting employees.Originality/valueHR professionals’ perceptions of ethical issues have rarely been analyzed using empirically tested methods. By surveying HR professionals, this study contributes to a fuller understanding of their perceptions regarding the ethics of their own practices. The results show that contextual determinants play an important role in predicting the level of acceptance of unethical HRM practices, especially those leading to discrimination.
Postmoney theory: value function in the domain of postmoney
Authors: Ivantchev Boyan Christov 
Published: October 2018

Purpose
The purpose of this study is to research the latest quantitative and qualitative transformations of money and its interaction with the market economy and societies in terms of their influence on the inner nature of money and its transformation from a simple tool to an aim per se, i.e. postmoney. Transforming the perception of the intrinsic value and “soul” of the money into the postmoney, influenced by the rising longevity and wide expectation for the ability to scientifically prolong the human life, will be discussed. This transformation will be confirmed by analysing the results from a national representative sociological survey (panel study with sample size n = 1,000).

Design/methodology/approach
The author uses the following philosophical methodological approaches – comparative-constructive, phenomenological, cognitive and deconstructive analysis.

Findings
The objective and qualitative reasons offered by the postmoney theory (PMT) for the transformation of money into postmoney, are related to the being of temporality, as well as to technologization and the sixth factor of production, scientific exponentiality and mental changes in the human being. A current postmoney survey gives a strong base to believe that the perception of an intrinsic value of postmoney changes the shape of a value function – from logarithmic to linear or even stochastic. This is the reason to believe that increasing of a postmoney quantity will lead to a qualitative transformation and psychological increase of postmoney sensitivity.

Research limitations/implications
The author intends to expand the postmoney survey on the international level so to confirm local findings.

Practical implications
Postmoney survey might be used as a powerful tool in creating and legalizing non-monistic money based on blockchain technologies and philosophical and socio-economic research of the postmoney issue.

Social implications
The future of money is of great importance for the exponentiality of the socio-economic environment and societies. Social impact of the money will be inevitably rising in the domain of postmoney perception.

Originality/value
The author of the current paper coined for the first-time notion of postmoney and now is expanding research developing PMT. As per the best knowledge of the author, shape of the curve of value function was not questioned and believes it might be of help to better understand the money phenomenon.
Numerical investigation of laminar forced convection for a non-Newtonian nanofluids flowing inside an elliptical duct under convective boundary condition
Authors: Ragueb Haroun , Mansouri Kacem 
Published: October 2018

PurposeThe purpose of this study is to investigate the thermal response of the laminar non-Newtonian fluid flow in elliptical duct subjected to a third-kind boundary condition with a particular interest to a non-Newtonian nanofluid case. The effects of Biot number, aspect ratio and fluid flow behavior index on the heat transfer have been examined carefully.Design/methodology/approachFirst, the mathematical problem has been formulated in dimensionless form, and then the curvilinear elliptical coordinates transform is applied to transform the original elliptical shape of the duct to an equivalent rectangular numerical domain. This transformation has been adopted to overcome the inherent mathematical deficiency due to the dependence of the ellipsis contour on the variables x and y. The yielded problem has been successfully solved using the dynamic alternating direction implicit method. With the available temperature field, several parameters have been computed for the analysis purpose such as bulk temperature, Nusselt number and heat transfer coefficient.FindingsThe results showed that the use of elliptical duct enhances significantly the heat transfer coefficient and reduces the duct’s length needed to achieve the thermal equilibrium. For some cases, the reduction in the duct’s length can reach almost 50 per cent compared to the circular pipe. In addition, the analysis of the non-Newtonian nanofluid case showed that the addition of nanoparticles to the base fluid improves the heat transfer coefficient up to 25 per cent. The combination of using an elliptical duct and the addition of nanoparticles has a spectacular effect on the overall heat transfer coefficient with an enhancement of 50-70 per cent. From the engineering applications view, the results demonstrate the potential of elliptical duct in building light-weighted compact shell-and-tube heat exchangers.Originality/valueA complete investigation of the heat transfer of a fully developed laminar flow of power law fluids in elliptical ducts subject to the convective boundary condition with application to non-Newtonian nanofluids is addressed.
Heat transfer enhancement of circular and square LED geometry
Authors: Ben Salah Sana , Ben Hamida Mohamed Bechir 
Published: October 2018

Purpose
The purpose of this paper is to compare the thermal effect between square and circular geometry of light emitting diode (LED) with respect of the same surface for the intent of reducing the junction temperature.

Design/methodology/approach
The heat equation is presented in a dimensionless form. To solve it numerically subject to the boundary conditions, the authors realized a three-dimensional code with Comsol Multiphysics.

Findings
The model is validated with previously published works. The authors found a good agreement.

Originality/value
New design of heat sink is improved for circular LED and a reduction of 18 per cent of the junction temperature is permitted. The authors study the influence of various parameters: number and length of fins and number and width of splits. New distribution of multichip LED in circular geometry permits to put 42 chips instead of 36 chips with respect of the same surface and pitch and with reduction of the junction temperature by 16 per cent.
Investment and wage gap in India: a general equilibrium analysis
Authors: Chattopadhyay Subhasankar 
Published: October 2018

PurposeThis paper aims to theoretically find out whether investments could close the formal-informal wage gap in India.Design/methodology/approachThe paper builds a general equilibrium model of a developing economy with a large informal sector and a capital-intensive formal sector with sector-specific capital and incorporates endogenous demand.FindingsWith homothetic preferences, a small initial wage premium and elastic relative demand, investment in the formal sector is likely to close the wage gap, but the gap persists with non-homothetic preferences. However, investment in the informal sector is unlikely to close the wage gap with either type of preferences.Originality/valueThough labour market distortions in developing economies leading to a formal-informal wage gap are well-documented in the development literature, little attention has been given to the question of whether such a gap would close over time.
Self-organised cruiser’s expenditures in a port of call: the interaction effect between city interface satisfaction and super-sized ships
Authors: Di Vaio Assunta , Lepore Luigi , Varriale Luisa 
Published: October 2018

Purpose
This paper aims to provide a better understanding of self-organised cruiser’s expenditures, analysing the effect of city interface satisfaction (CIS) on total monetary impact on land (TMIoL) for cruisers travelling without touristic guide and investigating the size of cruise ships, such as those labelled super-sized ships (SSSh), as a moderator variable.

Design/methodology/approach
The study was conducted through an interview-based semi-structured questionnaire administered to 812 self-organised cruisers visiting one of main ports of call in the Mediterranean region.

Findings
The findings highlight that CIS positively influences TMIoL; the relationship is moderated by SSSh; age, cruise experience and time on land are confirmed to be critical predictors of cruiser’s expenditures in the tourism destination.

Originality/value
The increase in cruiser flows and vessel sizes has a significant economic and non-economic impact on cruise destinations. More players are involved in the value creation process and its sharing, such as port destinations, local governments and cruise liners. Value measurement and knowledge of its determinants (e.g. port facilities, destination attractiveness, cruiser satisfaction and experiences) are essential, in terms of competitiveness, for practitioner’s decision-making processes and scholars interested in analysing the cruise phenomenon. This paper contributes to the existing literature as it provides results concerning value creation that is not managed by any one single player, such as cruise companies, port destination or local government. Such knowledge can be useful above all for local governments because self-organised cruisers visit the city destination not as cruise tourists but as land tourists.