bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamic information routing in complex networks
Authors: Kirst Christoph , Timme Marc , Battaglia Demian 
Published: October 2015

AbstractFlexible information routing fundamentally underlies the function of many biological and artificial networks. Yet, how such systems may specifically communicate and dynamically route information is not well understood. Here we identify a generic mechanism to route information on top of collective dynamical reference states in complex networks. Switching between collective dynamics induces flexible reorganization of information sharing and routing patterns, as quantified by delayed mutual information and transfer entropy measures between activities of a network's units. We demonstrate the power of this generic mechanism specifically for oscillatory dynamics and analyze how individual unit properties, the network topology and external inputs coact to systematically organize information routing. For multi-scale, modular architectures, we resolve routing patterns at all levels. Interestingly, local interventions within one sub-network may remotely determine non-local network-wide communication. These results help understanding and designing information routing patterns across systems where collective dynamics co-occurs with a communication function.
Organizational climate research: a proposed approach focused on banking institutions
Authors: Tortorella Guilherme Luz , Escobar Laurence , Rodrigues Cláudia 
Published: October 2015

Purpose– The use of the general satisfaction index (GSI) concept is a great way to measure the organizational climate. However, the traditional concept has an inaccurate calculation approach. In order to review this concept, the purpose of this paper is to propose a methodology to obtain this index through a more appropriate mathematical approach, supported by some linear algebra concepts. For this purpose, an organizational climate survey was carried out in a bank agency to exemplify application of this method. Each step of the application was detailed, as well as the intermediate results achieved. Among its principal benefits are: improved accuracy to obtain the GSI; the possibility of a comparison with a minimum required rate for the decision-making process; and the possibility of identifying the order of priority of the organizational climate dimensions that mostly need improvements.Design/methodology/approach– The working method was divided into three parts. The first part consists of the collection of data on employee satisfaction through a questionnaire based on Luz (2003) considerations and presented in a research performed by Maciel (2011), which uses 27 pertinent questions directed to the context of a banking system. These questions were answered on a scale from 0 to 4, where 0 means a very negative satisfaction condition and 4 a very positive one. The second part dealt with the application of the methodology for calculating GSI. The third and final part consisted of proposing improvements to increase the GSI of the studied bank agency.Findings– In general, the proposed method has proved to be a great ally to climate research and also to identify the need for improvements in banking context. Finally, the use of the 5W2H tool has proved important to improve weak points observed in the climate analysis, providing an initial guide to raise the agency’s GSI and achieve the goals pursued by the company. It is noteworthy that, due to the fact that improvement actions have been inferred based on direct observation, there is still a need for further analysis and/or debates about the impact and viability of these solutions.Originality/value– The proposed method turns GSI into a more accurate and appropriate tool, making it even more valuable in decision-making process faced by human resources departments focussed on improving or maintaining the organizational climate. To illustrate the application of the new approach regarding this tool, an organizational climate study in a bank branch is conducted.
Process mining through artificial neural networks and support vector machines
Authors: Maita Ana Rocío Cárdenas , Martins Lucas Corrêa , López Paz Carlos  Ramón , Peres Sarajane Marques , Fantinato Marcelo 
Published: October 2015

Purpose
– Process mining is a research area used to discover, monitor and improve real business processes by extracting knowledge from event logs available in process-aware information systems. The purpose of this paper is to evaluate the application of artificial neural networks (ANNs) and support vector machines (SVMs) in data mining tasks in the process mining context. The goal was to understand how these computational intelligence techniques are currently being applied in process mining.

Design/methodology/approach
– The authors conducted a systematic literature review with three research questions formulated to evaluate the use of ANNs and SVMs in process mining.

Findings
– The authors identified 11 papers as primary studies according to the criteria established in the review protocol. Most of them deal with process mining enhancement, mainly using ANNs. Regarding the data mining task, the authors identified three types of tasks used: categorical prediction (or classification); numeric prediction, considering the “regression” type, and clustering analysis.

Originality/value
– Although there is scientific interest in process mining, little attention has been specifically given to ANNs and SVM. This scenario does not reflect the general context of data mining, where these two techniques are widely used. This low use may be possibly due to a relative lack of knowledge about their potential for this type of problem, which the authors seek to reverse with the completion of this study.
Knowledge acquisition and product innovation flexibility in SMEs
Authors: Liao Ying , Barnes Jane 
Published: October 2015

Purpose– The purpose of this paper is to examine the role that knowledge acquisition (KA) plays in creating product innovation flexibility (PIF) in SMEs. The paper also examines two of the factors of the KA process: relationship quality (RQ); and information capability (IC).Design/methodology/approach– The survey data were checked for common method variance, validity, and reliability. Structural equation modeling was used to test the hypothetical framework and path analysis was used to test mediation effects.Findings– Results show that for SMEs, KA mediates the effect of RQ on PIF, and that KA partially mediates the relationship between IC and PIF.Research limitations/implications– The study focusses on only one step in the knowledge management process – KA. Additional research into the role that IC plays on PIF is also called for. Additional empirical study is needed to identify contingency factors, both within and outside the firm.Practical implications– These findings provide important insights for SME supply chain managers to understand the roles that the quality of relationship with their suppliers and how information is managed across boundaries can impact their ability to achieve flexible production innovation. An effective external KA process facilitates transformation of high-quality supplier relationship and IC into innovation flexibility.Social implications– The study suggests that the concept of social capital should be emphasized in knowledge-based research on SMEs.Originality/value– This study fills a gap in supply chain management research on the role of KA on PIF by being one of the first to empirically examine this effect in SMEs.
Towards the identification of important strategic priorities of the supply chain network
Authors: Tsironis Loukas K. , Matthopoulos Panagiotis Petros 
Published: October 2015

Purpose
– Supply chain (SC) is a homogeneous and interconnected network of firms which manages supplies, storages and handles material, information, personnel, equipment and final products throughout its length. The SC can be the means by which businesses add value to customers and therefore competitive advantage in the international market. Competitiveness no longer exists among individual members of a SC but between SCs. International literature pointed out, that strategy and competitiveness associated with specific strategic priorities. In this paper will be documented that the priorities as objectives of strategic importance comprise the key areas for the performance of the SC network. To support this, a systematic framework of strategic priorities, will be developed, which will visualize the major SC assessment areas that the SC network should turn its improvement efforts. The paper aims to discuss these issues.

Design/methodology/approach
– In total, 200 high level managers from 71 Greek manufacturing companies covering the whole country using their own SC networks took part in the study. Data analysis were conducted to create a model that describes the strategic priorities which are important, for the competitive advantage of their SC network.

Findings
– The results revealed seven critical strategic priorities: internal flexibility, production quality, waste reduction, customer focus, sustainability, reduction of production cost and efficiency. This paper analytically explores the strategic practices that seem to influence SC network performance and generates a systematic framework of the critical strategic priorities of the SC network performance.

Practical implications
– The proposed framework has six major advantages. First the research outcome enables managers to design their SC strategy. Second, proved the great importance of the strategic priorities institutionalization. Third, makes clear to stakeholders which are the SC network performance issues to consider. Fourth, the proposed framework could serve as a suitable formula for assessing the effectiveness and readiness of SC to face the competition. Fifth, it is an effective way of prioritizing the strategic practices as it provides the most important areas on which the firm can base tasks like evaluation, benchmarking and comparison of its SC both as a network and as individual firms. Finally, the proposed framework is an effective way to evaluate the consistency of strategic objectives and actions adopted for the SC.

Originality/value
– Literature review revealed a very important conclusion. It has been developed a broad discussion concerning issues on strategic practices which are responsible for the competitive advantage of the SC network. However, there has not been a significant effort on integrating all the practices under the spectrum of the SC in order to distinguish the most important of these practices that can lead to competitive advantages.
New agent-based proactive migration method and system for Big Data Environment (BDE)
Authors: Zhang De-gan , Song Xiao-dong , Wang Xiang , Li Ke , Li Wen-bin , Ma Zhen 
Published: October 2015

Purpose– Mobile Service of Big Data can be supported by the fused technologies of computing, communication and digital multimedia. The purpose of this paper is to propose new agent-based proactive migration method and system for Big Data Environment (BDE).Design/methodology/approach– First, the authors have designed new relative fusion method for making decision based on fuzzy-neural network. The method can make the fusion belief degree to be improved. Then the authors have proposed agent-based proactive migrating method with service discovery and key frames selection strategy. Finally, the authors have designed the application system, which can support proactive seamless migration function for big data. The method has innovation in which mobile service task of big data can dynamically follow its mobile user from one device to another device.Findings– The authors have proposed agent-based proactive migrating method with service discovery and key frames selection strategy. The method has innovation in which mobile service task of big data can dynamically follow its mobile user from one device to another device. The designed system is convenient to work and use during mobility, and which is useful or helpful for mobile user in the BDE.Originality/value– The authors have clarified and realizes how to transfer service tasks among different distances in Big Data Environment (BDE). The authors have given a formal description and classification of the mobile service task, which is independent of the realization mechanism. In the designed and developed application system, the new idea adopts fuzzy-neural control theory to make decision for task-oriented proactive seamless migration application.
An efficient return mapping algorithm for elastoplasticity with exact closed form solution of the local constitutive problem
Authors: De Angelis Fabio , Taylor Robert L. 
Published: October 2015

Purpose
– The purpose of this paper is to present an efficient return mapping algorithm for elastoplastic constitutive problems of ductile metals with an exact closed form solution of the local constitutive problem in the small strain regime. A Newton Raphson iterative method is adopted for the solution of the boundary value problem.

Design/methodology/approach
– An efficient return mapping algorithm is illustrated which is based on an elastic predictor and a plastic corrector scheme resulting in an implicit and accurate numerical integration method. Nonlinear kinematic hardening rules and linear isotropic hardening rules are used to describe the components of the hardening variables. In the adopted algorithmic approach the solution of the local constitutive equations reduces to only one straightforward nonlinear scalar equation.

Findings
– The presented algorithmic scheme naturally leads to a particularly simple form of the nonlinear scalar equation which ultimately scales down to an algebraic (polynomial) equation with a single variable. The straightforwardness of the present approach allows to find the analytical solution of the algebraic equation in a closed form. Further, the consistent tangent operator is derived as associated with the proposed algorithmic scheme and it is shown that the proposed computational procedure ensures a quadratic rate of asymptotic convergence when used with a Newton Raphson iterative method for the global solution procedure.

Originality/value
– In the present approach the solution of the algebraic nonlinear equation is found in a closed form and accordingly no iterative method is required to solve the problem of the local constitutive equations. The computational procedure ensures a quadratic rate of asymptotic convergence for the global solution procedure typical of computationally efficient solution schemes. In the paper it is shown that the proposed algorithmic scheme provides an efficient and robust computational solution procedure for elastoplasticity boundary value problems. Numerical examples and computational results are reported which illustrate the effectiveness and robustness of the adopted integration algorithm for the finite element analysis of elastoplastic structures also under elaborate loading conditions.
A kernel-independent fast multipole BEM for large-scale elastodynamic analysis
Authors: Cao Yanchuang , Rong Junjie , Wen Lihua , Xiao Jinyou 
Published: October 2015

Purpose
– The purpose of this paper is to develop an easy-to-implement and accurate fast boundary element method (BEM) for solving large-scale elastodynamic problems in frequency and time domains.

Design/methodology/approach
– A newly developed kernel-independent fast multipole method (KIFMM) is applied to accelerating the evaluation of displacements, strains and stresses in frequency domain elastodynamic BEM analysis, in which the far-field interactions are evaluated efficiently utilizing equivalent densities and check potentials. Although there are six boundary integrals with unique kernel functions, by using the elastic theory, the authors managed to accelerate these six boundary integrals by KIFMM with the same kind of equivalent densities and check potentials. The boundary integral equations are discretized by Nyström method with curved quadratic elements. The method is further used to conduct the time-domain analysis by using the frequency-domain approach.

Findings
– Numerical results show that by the fast BEM, high accuracy can be achieved and the computational complexity is brought down to linear. The performance of the present method is further demonstrated by large-scale simulations with more than two millions of unknowns in the frequency domain and one million of unknowns in the time domain. Besides, the method is applied to the topological derivatives for solving elastodynamic inverse problems.

Originality/value
– An efficient KIFMM is implemented in the acceleration of the elastodynamic BEM. Combining with the Nyström discretization based on quadratic elements and the frequency-domain approach, an accurate and highly efficient fast BEM is achieved for large-scale elastodynamic frequency domain analysis and time-domain analysis.
Evolving genetic programming models of higher generalization ability in modelling of turning process
Authors: Garg Akhil , Tai Kang 
Published: October 2015

Purpose– Generalization ability of genetic programming (GP) models relies highly on the choice of parameter settings chosen and the fitness function used. The purpose of this paper is to conduct critical survey followed by quantitative analysis to determine the appropriate parameter settings and fitness function responsible for evolving the GP models with higher generalization ability.Design/methodology/approach– For having a better understanding about the parameter settings, the present work examines the notion, applications, abilities and the issues of GP in the modelling of machining processes. A gamut of model selection criteria have been used in fitness functions of GP, but, the choice of an appropriate one is unclear. In this work, GP is applied to model the turning process to study the effect of fitness functions on its performance.Findings– The results show that the fitness function, structural risk minimization (SRM) gives better generalization ability of the models than those of other fitness functions.Originality/value– This study is of its first kind where two main contributions are listed addressing the need of evolving GP models with higher generalization ability. First is the survey study conducted to determine the parameter settings and second, the quantitative analysis for unearthing the best fitness function.
Supporting the PhD journey: insights from acknowledgements
Authors: Mantai Lilia , Dowling Robyn 
Published: October 2015

Purpose
– The aim of this paper is to explore the types of social networks and relationships that PhD candidates identify as important in a successful PhD journey.

Design/methodology/approach
– We use an under-utilised yet rich data source: PhD thesis acknowledgements. The paper employs a sample of 79 PhD acknowledgements drawn from diverse disciplines across Australian universities to illustrate the types of social support provided, who and what is acknowledged as providing support and the intersections between the types and providers of support.

Findings
– Key findings of the paper are that three types of support are evident – emotional, academic and instrumental – and that families, colleagues and supervisors, as well as others, are acknowledged for providing all three forms of support. Further, acknowledgements give insights into students’ personal and professional development and identification as researchers.

Research limitations/implications
– This research helps higher degree research recognise the breadth of relationships in the PhD process to make provisions that encourage such network building. It delineates the meaning and value of social support in successful doctoral candidature. So far, little empirical research has outlined the types of support valued by students.

Originality/value
– The study confirms the critical place of candidates’ networks in the PhD journey, broadens the view of what constitutes support and identifies the range of individuals involved in the process. It identifies potential in acknowledgements as a source of evidence of social support and researcher development in the PhD experience.
The Australian doctorate curriculum: responding to the needs of Asian candidates
Authors: Choy Sarojni , Li Minglin , Singh Parlo 
Published: October 2015

Purpose
– The purpose of this paper is to present a case for appraisal of the current curriculum provisions for international students. In this paper, the authors summarise the key challenges of Asian international research graduate students pursuing doctorate studies in Australian universities to become researchers for the global communities. The intention is to advocate further research on current higher degree research curriculum with a view to enriching the developmental experiences of international research graduate students in preparation for global practice.

Design/methodology/approach
– This is an analytical paper that adopts a conceptual and rhetorical approach.

Findings
– The authors review a growing body of research on higher degree research studies and establish a need for appraisal of current curriculum provisions.

Originality/value
– This is the first paper to concentrate on an emerging need to appraise current higher degree research curriculum provisions to enhance the development international research graduate students for global practices.
Managing performance or legitimacy? A case study of the Tanzanian Local Government Authorities
Authors: Gaspar Abeid Francis , Mkasiwa Tausi Ally 
Published: October 2015

Purpose
– The purpose of this paper is to investigate performance measurement practices in the Tanzanian Local Government Authorities (LGAs). It seeks to understand the performance measurement practices in the context of new public management (NPM) (Hood, 1991, 1995). Specifically, the paper focuses on the annual performance assessment (the local government development grant system), which operated in the Tanzanian LGAs as a base for accessing grants from the central government.

Design/methodology/approach
– The study executed a grounded theory strategy for data collection and analysis. Fieldwork was undertaken in three Tanzanian LGAs.

Findings
– The findings revealed how performance measurement practices were involved in the process of managing legitimacy, and consequently, in the acquisition of grants from the central government. Dialogue and learning about the performance measurement exercise and the production and manipulation of evidence were the two strategies employed by LGAs in the management of legitimacy.

Practical implications
– In practice, efficiency in organizations may be achieved through the appropriate design of systems, and by understanding, and addressing problems which emerge during their implementation. Learning is a significant strategy used by actors, and this needs to be taken into consideration by reformers when designing and implementing reforms.

Originality/value
– The paper contributes to existing research by providing a framework for managing legitimacy. The framework supports and extends Oliver’s (1991) typology of strategic responses to institutional processes and Suchman (1995) legitimation strategies. It identifies dialogue and learning as other forms of significant strategy in actors responses to institutional pressures. The study also provides additional evidence of the responses to the accounting changes and the NPM reforms.