bluuebunny/crossref_metadata_2025_split huggingface dataset:
Towards organisational performance
Authors: Trunk Širca Nada , Babnik Katarina , Breznik Kristijan 
Published: March 2013

PurposeHRM climate is the intervening variable that relates implemented HRM practices to individual reactions. The purpose of the study is to contribute to the understanding of HRM climate construct, through the study of the role of HRM climate in employees' attitudes.Design/methodology/approachBased on the literature review a model is proposed that links HRM climate perceptions to job satisfaction, job involvement and perceived organisational performance. The model was tested on a sample of 574 Slovenian employees from the manufacturing sector. The model of HRM‐attitudes relationship was tested with partial least squares approach to structural equation modelling.FindingsTwo HRM climate dimensions (collaboration and structure) have an indirect (through job satisfaction and job involvement) and direct effect on perceived organisational performance, although dimension “collaboration” has a much stronger effect on employees' job satisfaction, and perceived organisational performance factor, than the “structure” dimension.Originality/valueThe HRM climate as a construct has not been studied intensively, although perceptions of HRM practices have been at the centre of attention since the beginning of the study of HRM‐performance relations. The study shows that the meaning assigned to the experienced HRM practices, has a strong effect on employees' reactions toward the job and work environment, and so offers a new approach to the understanding of the individual's role in HRM‐performance relation.
Managing dualities for efficiency and effectiveness of organisations
Authors: Biloslavo Roberto , Bagnoli Carlo , Rusjan Figelj Roland 
Published: March 2013

PurposeThe paper presents the concept of duality, which presupposes the synthesis of two apparently opposing organisation's properties. The purpose of the paper is to empirically verify whether management of dualities correlates with effectiveness and efficiency of organisations.Design/methodology/approachThe research examines 21 dualities at the normative and strategic level of organisational policy. The research was undertaken in two phases. In the first phase, effectiveness and efficiency indicators were defined by applying the analytic hierarchy process method within an expert group. In the second phase, a questionnaire was sent to 49 CEOs of mid‐size and large companies operating in the food, beverage and foodstuff production industry in Slovenia. The questionnaire applied the semantic differential scale.FindingsThe fundamental research hypothesis argues that organisations that are able to transcend the so‐called duality paradox thus enhance their effectiveness or/and efficiency. The results partly confirm this fundamental hypothesis within the limitations of the research sample. In terms of future research, the findings offer a valuable starting point for studies involving a larger sample of industries and organisations.Practical implicationsThe research findings present enough evidence that although management of dualities does not assure effectiveness and efficiency of organisation, it is a core driver that should enhance a firm's performance relative to its competitors. This means that managers need to develop an ability to constructively face the tensions of opposing dualities, and instead of choosing one at the expense of the other, generating a creative solution of the tensions in the form of a new dynamic model that recognizes dualities as complements and not as forces facing each other.Originality/valueFrom a theoretical point of view, it has been observed that management and organisational research have been mainly focused on the definition of organisational dualities or paradoxes and how organisations can sustain competing demands simultaneously. The paper contributes to developing a debate on the potential of managing organisational dualities for greater organisational effectiveness and efficiency.
IS/IT as supplier selection criterion for upstream value chain
Authors: Ageron Blandine , Gunasekaran Angappa , Spalanzani Alain 
Published: March 2013

PurposeThis exploratory research aims to examine and evaluate the importance of IS/IT criterion in the suppliers selection process. The paper attempts to assess if there is superior supply chain performance arising from the integration of this criterion and to determine difficulties companies face resulting from this deployment.Design/methodology/approachA review of previous literature on supplier selection is presented and the authors designed a structured questionnaire for their data collection. Data were collected from 90 French companies and subsequently analyzed to understand the IS/IT criterion used for supplier selection along the upstream value chain.FindingsThe results suggest that IT/IS is a significant supplier selection criterion within supply chain context because of the rapid proliferation of information sharing across upstream chains.Research limitations/implicationsSince this empirical investigation has been limited to French companies, further studies can be done for comparison with similar western countries or different countries (on economic, environmental, social, political dimensions).Practical implicationsThis research has several implications for the decision makers in the management of their suppliers. It informs them on the necessity to integrate IS/IT in their suppliers selection. Meaning while, it indicates which IS/IT must be emphasized and which difficulties will be faced by integrating this criterion. It also gives some insights concerning the supplier relationship development.Originality/valueThe paper identifies the relative importance of IS/IT criterion in the supplier selection process. IT/IS has a role to play as it has helped improve the dynamics of both externalization and internationalization, notably by solving problems and by encouraging development of upstream relationships.
IN‐GM(0, N) cost forecasting model of commercial aircraft based on interval grey numbers
Authors: Tian Min , Cao Ying , Xie Naiming , Liu Sifeng 
Published: March 2013

PurposeThe purpose of this paper is to construct a novel GM(0, N) model based on grey number sequences and to solve the problem of cost forecasting of commercial aircraft which puzzled managers, especially the factors of cost with uncertain information.Design/methodology/approachBased on the definition of traditional GM(0, N) model, the paper considers the limited information and knowledge, and the algorithm of grey numbers with greyness and kernel was designed. A novel GM(0, N) model based on grey number sequences, named the IN‐GM(0, N) model, is proposed according to the definition of the grey numbers algorithm. The steps of the proposed model are then given. Finally, a case of domestic commercial aircrafts is developed as an example, based on information gathering and model calculating.FindingsThe results of this research indicate that the IN‐GM(0,N) model is effective in cost calculating, providing reliable technical support for cost estimation of large‐scale complex equipment including commercial aircraft.Practical implicationsCost forecasting of commercial aircraft can be solved effectively and the model can also be utilized to predicate other products.Originality/valueThe paper succeeds in constructing a novel grey forecasting model. This work contributes significantly to improving grey forecasting theory and to undoubtedly propose more novel grey forecasting models.
Superior relation between cardiac parameters and blood pressure
Authors: Yang Yuhua , Tan Xuerui 
Published: March 2013

PurposeThe purpose of this paper is to study the superior relationship among the parameters of age, casual blood pressure and 24‐hour ambulatory blood pressure with left atrial and ventricular structure and left ventricular filling function in systolic hypertensives (SH).Design/methodology/approachA total of 30 male and seven female patients aged from 46‐74 (averaged at 59±7) years with stage I∼II systolic hypertension were studied. The criterion of the subjects was SBP ≥ 160 mmHg and DBP < 95 mmHg or SBP ≥ 2 × (DBP‐15 mmHg) and DBP≥95 mmHg. The parameters acted as independent variables were: age, casual systolic and diastolic blood pressure (CSBP and CDBP) and 24‐hour ambulatory systolic and diastolic blood pressure (ASBP24 and ADBP24). The parameters acted as dependent variables were ratio of the early rapid filling peak flow velocity and late atrial contractive filling peak flow velocity below the mitral valve on the pulsed‐wave spectral Doppler echocardiography (LAD/AoD). The collected data were analyzed via the superior grey relational analyses.FindingsThe results showed that the superior grey relational order in independent variables was ASBP24 > ADBP24 > CSBP > CDBP > age and the superior grey relational order in dependent variables was LAD/AoD > MVe/a > LVMI.Originality/valueAmong the independent variables ASBP24 is the most important factor of affecting the cardiac structure and function in SH. The first cardiac variation in SH is the left atrial structure affected by the independent variables. After that left ventricular diastolic dysfunction and the left ventricular hypertrophic changes take place in succession.
Correlation analysis of bearing track using grey system theory
Authors: Guan Yeqing , Song Dejin 
Published: March 2013

PurposeThe paper attempts to design an efficient algorithm for bearing track correlation of multi‐sensor on the same platform using grey incidence analysis which is on the basis of the line segment Hausdorff distance.Design/methodology/approachStarting from the line segment, Hausdorff distance that has been extended to calculate the distance between line segment sets by many scholars has been used for face recognition achieving good results. The degree of grey incidence is defined based on the above distance and properties which include normality, symmetry and closeness, are proved. Furthermore, a grey incidence matrix is built. With only the azimuth information detected by bearing sensors track correlation is difficult to judge, however grey incidence analysis can quickly and accurately determine whether two tracks are from the same target, and so an algorithm is designed to solve this dilemma. In the last part of the paper simulation experiment is conducted.FindingsThe results are convincing: not only the algorithm proposed in the paper can solve the problem of track correlation of bearing‐only sensors, but also the algorithm can judge the correlation degree of both tracks even in the case of intensive targets.Practical implicationsThe method exposed in the paper can be used to judge correlation degree of tracks detected by different sensors even for less information, and also be used to determine the similarity of two waveforms in the field of engineering.Originality/valueThe paper succeeds in introducing the line segment Hausdorff distance into grey incidence analysis and on the basis of that an algorithm is designed to solve the problem of track correlation.
The three inevitabilities of human being
Authors: Klein Louis 
Published: March 2013

PurposeThis paper seeks to address the need for a comprehensive theoretical reference underlying the concerns of social complexity. The shortcomings of a very powerful yet cognitively biased theoretical model like Luhmann's theory of social systems especially call for the integration of the whole person into conceptualising social complexity. The paper aims to question what the conditions are for the possibility to successfully conceptualise social complexity.Design/methodology/approachBased on field research to explore the practical challenges of dealing with social complexity, the paper comprises discourse analysis and literature review. Luhmann's theory of social systems proved to be a fruitful starting point to integrate the latter research in neurosciences in a systemic way.FindingsThe paper finds that embedded mind thinking and holonic evolution of organism, psyche and society emerged out of the research as powerful thought figures. They allow for an improved practical and theoretical navigation on the ocean of social complexity.Practical implicationsThe results implications for how we conceptualise social complexity and the ways we approach ourselves, how we govern, teach, heal, coach, learn, train, create, improve and innovate. Increasing our capabilities to meet social complexity will improve management, change, governance and project performance.Originality/valueAddressing Luhmann's theory of social systems in the broader context of social complexity and neurosciences allowed for a reintegration of the whole person into the field of social complexity based not only on meaning but on feeling as well.
A new approach for embedding dimension determination based on empirical mode decomposition
Authors: Liu Shulin , Ma Rui , Cong Rui , Wang Hui , Zhao Haifeng 
Published: March 2013

PurposeEmbedding dimension determination in phase space reconstruction is difficult. The purpose of this paper is to present a new approach for embedding dimension determination based on empirical mode, showing that embedding dimensions for phase space reconstruction could be easily determined according to the number of intrinsic mode functions decomposed by empirical mode decomposition.Design/methodology/approachThrough the relation analysis of intrinsic mode functions and embedding dimensions, the approach for embedding dimension determination by the number of intrinsic mode functions is presented. First, a time series is decomposed into several intrinsic mode functions. Second, correlation analysis between intrinsic mode functions and original signals is investigated, and then false intrinsic mode functions could be eliminated by the analysis of correlation coefficient thresholds, which makes the embedding dimension precise. Finally, the method presented is applied to the Lorenz system, Chen's system, and the Duffing equation. Simulation results prove this method is feasible.FindingsA new approach for embedding dimension determination based on empirical mode decomposition is presented. Compared with G‐P algorithms, this new method is effective and decreases computational complexity.Research limitations/implicationsThis method provides an effective qualitative criterion to the selection of embedding dimensions in phase space reconstruction.Practical implicationsThis method could be used to determine embedding dimensions of phase space reconstruction and degree‐of‐freedom of nonlinear dynamical systems.Originality/valueThe paper proposes a new method of embedding dimension determination in phase space reconstruction.
Using system dynamics to study the logistics outsourcing cost of risk
Authors: Liu Zhixue , Xu Juan , Li Yan , Wang Xiaojing , Wu Jianbo 
Published: March 2013

PurposeThe purpose of this paper is to use systemic thinking to explain and predict the cost of logistics outsourcing, and to devise policies to minimize the cost of risk.Design/methodology/approachA method of system dynamics is adopted to capture the dynamic interaction of logistics outsourcing systems and to analyze the impact of some factors in the system on policy decisions over a long‐term horizon.FindingsThis paper illustrates the internal mechanism of the logistics outsourcing cost of risk systems by virtue of system dynamic principles, to develop a system dynamics model, and to give a quite detailed description of how the model could work.Practical implicationsThe results of the simulation analysis provide useful information for logistics outsourcing risk managers.Originality/valueThis paper contributes to the discussion on the use of system dynamics for studying logistics outsourcing cost of risk.
Scheduling in an unstructured peer‐to‐peer‐based high performance computing system
Authors: Luo Fei , Jin Hai , Liao Xiaofei , Zhang Qin 
Published: March 2013

PurposePeer‐to‐peer (P2P) communities have the capability to construct a powerful virtual supercomputer by assembling idle internet cycles. The purpose of this paper is to present the scheduling issues in an unstructured P2P‐based high performance computing (HPC) system to achieve high performance for applications.Design/methodology/approachA new application model is proposed for the system, where applications are parallelized in the program level. To address high performance for these applications, the system resources are controlled in a semi‐centralized 3‐layer network, where volunteers form many autonomous unstructured P2P domains. Furthermore, based on such a resource management policy, a job scheduling strategy is adopted, which is collaborated by global and domain scheduling. The global scheduling is responsible for the balance among domains, while the domain scheduling resolve workpiles' execution in a domain.FindingsTheoretical analysis and a benchmark experiment show that the scheduling provides scalable and enormous computing capability in the P2P‐based HPC system.Originality/valueThe paper shows that scheduling helps P2HP (an unstructured P2P‐based HPC system) provide scalable and enormous computing capability for HPC applications.
Modeling and optimization in complex systems based on computational intelligence
Authors: Su Yingying , Li Taifu , Wang Debiao , Liu Xinghua 
Published: March 2013

PurposeFor many optimization problems such as optimal techniques, compositions, producing process, the optimizing objectives in systems are complex relations with respect to a great deal of parameters. Generally, the objective function is hardly obtained, even the searching objective is unquantifiable. So it is difficult to model and optimize the complex systems to some extent.Design/methodology/approachTo the above purpose, a novel approach is presented in this paper. It firstly utilizes the excellent fitting performance of neural network (NN) combined with expert knowledge (EK) to obtain the objective function, and secondly searches the optimal influential parameters with genetic algorithm (GA).FindingsPeaks function inside Matlab and the acural application of comprehensive performance optimization in analog PID control system are studied, respectively. The results of simulation and the actual experiment both show that the modeling and optimizing method presented in the paper are effective.Research limitations/implicationsExpert knowledge is needed for the fuzzy/unquantifiable objective.Practical implicationsThe paper presents a useful way to model and optimize complex systems.Originality/valueThe combined approach based on NN, EK and GA is firstly presented and is effectively used in modeling and optimizing complex systems.
3D modelling of small object based on the projector‐camera system
Authors: Jun Tao 
Published: March 2013

PurposeThe purpose of this paper is to resolve the problem of 3D modelling of small objects lacking or without real texture, using an automatic, practical, convenient and effective method.Design/methodology/approachFor each space feature point projected on the surface of the target small object, there are two corresponding 2D points existing. One is an image point in one of the image sequences from the digital camera; another is a point in the slide from the projector. Using the image processing method, the image point can be extracted out accurately so that its 2D coordinates are gained. At the same time, the slide point is designed first so that its 2D coordinates are calculated by the known data. The 3D coordinates of the space feature point can be computed by the space forward intersection.FindingsThe projector‐camera system is composed of a slide projector, a digital camera, a control ground, and a computer. The computer controls the other three pieces of equipment, working together automatically and efficiently.Research limitations/implicationsAccording to the size of the grid, the target object is relatively small. The planar grid is functioned as the calibration of the slide projector and the digital camera.Practical implicationsThe paper presents a very effective approach for 3D reconstruction of small objects.Originality/valueAccording to the traditional method of the digital camera taking images, the projector is steered so that the projector‐camera system is formed. After being calibrated, respectively, in advance, the projector‐camera system is similar to the binocular vision system in the principle of 3D modelling.
Multi‐scale relation analysis of power law distribution and correlation in the Chinese stock market
Authors: Yang Hong‐lin , Chen Shou , Yang Yan 
Published: March 2013

PurposeThe purpose of this paper is to reveal the multi‐scale relation between power law distribution and correlation of stock returns and to figure out the determinants underlying capital markets.Design/methodology/approachThe multi‐scale relation between power law distribution and correlation is investigated by comparing the original series with the special series. The eliminating intraday trend series approach developed by Liuet al.is utilized to analyze the effects of power law decay change on correlation properties, and shuffling series originated by Viswanathanet al.for the impacts of special type of correlation on power‐law distribution.FindingsIt is found that the accelerating decay of power law has an insignificant effect on correlation properties of returns and the empirical results indicate that time scale may also be an important factor maintaining power law property of returns besides correlation. When time scale is under critical point, the effects of correlation are crucial, and the correlation of nonlinear long‐range presents the strongest influence. However, for time scale beyond critical point, the impact of correlation begins to diminish or even finally disappear and then the power law property shows complete dependence on time scale.Research limitations/implicationsThe 5‐min high frequency data of the Shanghai market as the empirical benchmark is insufficient to depict the relation over the entire time scale in the Chinese stock market.Practical implicationsThe paper identifies the determinants of market dynamics to apply them to risk management through analysis of multi‐scale relations, and supports endeavors to introduce time parameter into further risk measures and control.Originality/valueThe paper provides the empirical evidence that time scale is one of the key determinants of market dynamics by analyzing the multi‐scale relation between power law distribution and correlation.
A new recognition system for radar emitter signals
Authors: Zhang Gexiang , Li Xu 
Published: March 2013

PurposeThe purpose of this paper is to develop a new recognition system for identifying advanced radar emitter signals (RES).Design/methodology/approachInitially, the framework of the new recognition system is outlined. Then, feature extraction using resemblance coefficient and wavelet packet decomposition, and feature selection based on quantum‐inspired genetic algorithm, and a classifier combining K‐means clustering, support vector machines and Mahalanobis distance are applied to actualize the recognition system. Finally, experiments are carried out on RES.FindingsA valid recognition system with its framework and implementation is presented to solve the difficult problem of advanced RES recognition.Research limitations/implicationsInitial investigation is made on modern RES recognition. Further work may be done on decreasing the error rates and enhancing recognition efficiency. Real signals instead of simulated signals can be applied.Practical implicationsThe system developed here can be applied to electronic reconnaissance systems such as electronic support measures, electronic intelligence and radar warning receiver.Originality/valueThe paper presents a novel recognition system and its implementation for modern RES. Extensive experiments conducted on 155 RES with eight intra‐pulse modulations show the feasibility and validity of the introduced system.