bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reaping the harvest: end‐user access and staff savings at the University of Auckland, New Zealand
Authors: Irwin Jillian 
Published: May 2009

PurposeThe purpose of this paper is to continue the discussion on the implementation of an ISO‐compliant interlibrary loan management system at the University of Auckland. The implementation now includes an end‐user interface and this report aims to investigate the savings in staff time which had been anticipated from its introduction. Staff input into end‐user requests is also reviewed.Design/methodology/approachThe approach takes the form of an analysis of six months of requesting statistics with a discussion on a number of related issues including mediating end‐user requests.FindingsMeasurable time has been saved from reducing data entry by interlibrary loans staff. Continuing staff input into requests is described and some solutions reviewed. Other savings in staff time are identified and some possible options for the future are discussed.Practical implicationsThe research undertaken should help other libraries identify some of the benefits and issues involved in patrons entering their requests directly into an ISO‐compliant interlibrary loans management system.Originality/valueThe report is believed to be the first attempt to quantify and/or describe the staff savings to be made from implementation of the VDX end‐user interface, ZPortal.
Modeling market orientation and organizational antecedents in a social marketing context
Authors: Zhou Yanfeng , Chao Paul , Huang Guang 
Published: May 2009

PurposeThe purpose of this research is to test the applicability of a model showing the relationship between a set of modified MARKOR scales used to measure market orientation (MO) and a set of organizational antecedents in an emerging market.Design/methodology/approachThe study is conducted using a survey instrument administered to a large national sample of management personnel in various blood collection centers in China. A structural equation modeling approach is used in the data analysis.FindingsThe results support the model and show robustness of the scales used as well as a positive relationship between some organizational antecedents and the MO construct.Practical implicationsThe results of the study provide some new insights on what managers in non‐profit organizations (NPOs) can do in implementing marketing strategies to improve organizational effectiveness through a greater emphasis on MO.Originality/valueThis is the first study to focus on a state‐controlled NPO whose mission is to deliver social values to its constituents in an emerging economy. The results should prove valuable not just for other organizations in the country but also for other emerging countries whose NPOs are still largely state‐controlled.
Conflict management styles of Turkish managers
Authors: Özkalp Enver , Sungur Zerrin , Ayşe Özdemir Aytül 
Published: May 2009

PurposeThe aim of this study is to determine Turkish managers' conflict styles in different sectors, namely durable consumer goods, aviation, automotive and banking.Design/methodology/approachA total of 130 managers' conflict management styles were assessed by applying the Rahim's 1983 Organizational Conflict Inventory‐II.FindingsFirst, integrating and, second, compromising are found to be the most preferred conflict styles of Turkish managers. The other important finding is that preferring obliging styles of conflict management changes according to the status of managers. Obliging is mostly used when the conflict partner has an upper level status.Research limitations/implicationsAdditional data from cross‐cultural studies are needed to form a comprehensive understanding of conflict management styles. Also, the number of respondents in the study is not enough to generalize the findings; additional data from different sectors could make the findings more valid.Practical implicationsThere seems to be a need for seminars or practice‐oriented workshops on evaluating and understanding the nature of conflict and learning to manage conflict as a beneficial and creative process for the betterment of both individuals in organizations and organizations themselves.Originality/valueThe study provides a revised base for cross‐cultural conflict management studies and also highlights the national dynamics of Turkish managers' relationships, especially for international investors.
The grey input‐occupancy‐output analysis
Authors: Li Qiao‐Xing , Liu Si‐Feng 
Published: May 2009

PurposeThe purpose of this paper is to propose the input‐occupancy‐output analysis for grey situations and to manage the economic systems with missing information. The situation is realistic in practice.Design/methodology/approachDuring the decision‐making process of an economic system, the managers often get some uncertain data for the missing information. Then, it becomes difficult to analyze the complex system by using the input‐occupancy‐output analysis. Since the uncertain data are grey numbers, the decision maker can control it by using grey system theory and the input‐occupancy‐output analysis.FindingsGet the grey direct consumption and occupancy coefficient matrices and the computational formulas of their matrix‐covered sets. The grey model of input‐occupancy‐output analysis and its covered solution are also obtained.Research limitations/implicationsThe chaos of the grey statistic data should satisfy a level of accuracy and it is key to get the number‐covered set that the true data belongs to.Practical implicationsA feasible approach to control the economic system that the accurate data are difficult to be obtained.Originality/valueGive a new approach to study an economic system by using grey system theory.
An ANN pruning algorithm based approach to vendor selection
Authors: Li Qian 
Published: May 2009

PurposeThe purpose of this paper is to help enterprises to define and refresh their specific vendor selection criteria according to changing situations.Design/methodology/approachThis paper firstly analyzes the variety of vendor selection criteria according to the diverse business environment. Furthermore, an approach of vendor selection based on MW‐OBS (an artificial neural network pruning algorithm) is put forward. MW‐OBS contributes a lot in distinguishing the crucial items of selection criteria based on certain enterprise's operational data, instead of assuming the criteria set subjectively. Meanwhile MW‐OBS evaluates the importance weights of these crucial items in criteria by data training.FindingsThe vendor selection criteria is believed to change for diverse enterprises and even for an enterprise's mutative business conditions because of the attribute of materials, cooperation relationships, and supplier's performance. The approach establishes the vendor selection criteria for different enterprises based on their own conditions, and once business environment changes, with new data being generated, the set can be refreshed dynamically and timely.Research limitations/implicationsThis approach extends the research of neural network pruning algorithm, for example the importance of all reserved criteria can be achieved from trained network without extra optimization,Originality/valueThis approach put emphasis on distinguishing dynamic criteria consistent with enterprise's circumstance. Enterprises are capable of constructing their various criteria collections conveniently according to their own specific situations with the application of approach.
Research of order relation based on pansystems measures
Authors: Li Xiaoxia , Lin He , Li Yongli 
Published: May 2009

PurposeThe purpose of this paper is to analyze the order relation of existing in computer science, define and analyze macroscopical‐order and semi‐partial order in pansystems theory, and explored the relationship between macroscopical‐order and semi‐partial order. It is an attempt to analyze problems in computer science by using pansystem's philosophy with mathematics and technology (PMT)‐combination.Design/methodology/approachSorting is an important operation in computer science. The main task of the sorting operation is to rearrange the random serial of records into an ordered serial of records according to some keywords. The authors know that there are many sorting methods in computer science. The authors discussed the essence of semi‐partial order and macroscopical‐order and the transformation between semi‐partial order and macroscopical‐order from the point of panscale's view; the essence of this transformation is revealed. By combining the PMT (PMT‐combination), it is easy for the authors to get a deep understanding of the technology in computer science.FindingsThe need for application of the order relation, the authors explored the relationship between macroscopical‐order and semi‐partial order. Combined with PanScale, the authors analyzed the essence of the transformation between macroscopical‐order and semi‐partial order. And applied it to the computer science.Research limitations/implicationsThe order relation is an important problem in computer science, as well as existing in our daily life, at the same time this problem has a scale concept in it, the authors need to further research and study.Practical implicationsA very useful method for research of the order relation in computer science.Originality/valueTo explore the relationship between macroscopical‐order and semi‐partial order. Combined with PanScale, the authors analyzed the essence of the transformation between macroscopical‐order and semi‐partial order. And applied macroscopical‐order and semi‐partial order to the computer science.
Application of Wuli‐Shili‐Renli system methodology in knowledge management
Authors: Lin Xiangyi , Zhang Qingpu , Han Xiaolin 
Published: May 2009

PurposeThe purpose of this paper is to utilize “Wuli‐Shili‐Renli (WSR)” system methodology to analyze complexity of knowledge and knowledge management and create models for knowledge management system (KMS) synthetically.Design/methodology/approachAs a complex system, knowledge management should be analyzed and established by system methodologies. There are many system methodologies. Owing to WSR is characteristic of oriental culture; the paper introduces concept and working process of WSR system methodology in knowledge management from WSR perspective.FindingsWSR system methodology can be used to analyze contents of WSR in KMS and to establish an effective KMS.Research limitations/implicationsHow to define WSR in KMS is a little difficult for users.Practical implicationsA new approach for system analysis and establishment of a successful KMS.Originality/valueThe paper shows how the WSR system approach can integrate quantitative approach and qualitative analysis to analyze and establish a KMS synthetically.
Combined models for day‐ahead electricity price forecasting based on improved gray correlation methodology
Authors: Da Liu , Dongxiao Niu , Yuanyuan Li , Guanjuan Chen 
Published: May 2009

PurposeTo combine the forecasting by single method using influence information fully, other than regular combined methods only focusing on historical forecasting errors.Design/methodology/approachTo combine the single methods based on the analysis of improved gray correlation, with more related information being considered to enhance the price forecasting precision, such as the trend of the prices, the historical forecasting errors, and the temporal influence factors on prices.FindingsA case of PJM market of USA shows that the proposed method has better performance than any other combined methods, and all single models as well.Research limitations/implicationsThe combined performance depends on the forecasting precision of single methods, and the correlation between the single methods, as well as the number of single method that to be combined.Practical implicationsIt is a novel idea for combined method to forecasting the time series data, such as electricity prices, electric power loads.Originality/valueThe proposed method considers all the following factors: the similarity between the trends of the single forecasting, the errors of the single models and the temporal influence.
Grey dynamic model GM(1,N) for the relationship of cost and variability
Authors: Youxin Luo , Xiao Wu , Min Li , Anhui Cai 
Published: May 2009

PurposeThe purpose of this paper is to overcome the deficiency of the current GM(1,N) such as low‐prediction precision, extend the scope of GM(1,N) and provide an effective grey dynamic model GM(1,N) for the relationship of cost and variability.Design/methodology/approachThe relationship between two factors of variety and the cost of manufacturing system is studied on the basis of the variety reduction program theory. Based on the Grey system and the gradient algorithm, a Grey dynamic model GM(1,N) is proposed between cost and variety by optimizing the coefficient and background value of the model which is used to check validity for the relation of plasm‐yarn machine product and variety.FindingsThe proposed Grey dynamic prediction model GM(1,N) for the relationship of cost and variability has high precision and easy‐to‐use.Research limitations/implicationsA Grey model GM(1,N) for prediction is proposed.Practical implicationsThe proposed model should also have potential for multifactor system prediction in engineering.Originality/valueThe deficiency of the current GM(1,N) is overcome, the scope of GM(1,N) is extended and the proposed Grey dynamic model GM(1,N) has high‐prediction precision.
The optimization of road building schedule based on budget restriction
Authors: Weng Kerui , Qu Bo 
Published: May 2009

PurposeThe purpose of this paper is to present a model to determine which roads to be built in each stage with limited budget.Design/methodology/approachA multistage network discrete expansion model with budget restriction is formulated and a heuristic algorithm is developed by the technique of comparing the original shortest paths and the sum of crossed shortest paths to avoid computing the shortest paths matrix repeatedly.FindingsThe optimal approach has a very significant effect in finding which roads to be built by the largest net benefit.Research limitations/implicationsThe paper discusses a new multistage network discrete expansion problem is the main research implications.Practical implicationsThe optimal choice for road building schedule of new urban district when budgets were limited.Originality/valueThe paper presents a model and an algorithm for the optimization of road building schedule based on budget restriction.
New sufficient criteria for Schur D‐stability of interval matrices
Authors: Shi Gui‐Ju , Han Jin‐Fang , Gao Jun‐Ling , Wang Qing‐Yin 
Published: May 2009

PurposeThe purpose of this paper is to discuss the Schur D‐stability and the vertex stability of interval matrices (including point matrix obviously). Some new sufficient conditions (criteria) are proposed which guarantee the interval matrix is Schur D‐stable. This results are shown to be less conservative than those in recent literatures. In addition, two equivalence relations between the Schur D‐stability and the vertex stability of interval matrices will be proposed and a new Schur D‐stability range of an interval matrix presented.Design/methodology/approachMatrix eigenvalues theory and matrix measure approach.FindingsSeveral simple sufficient conditions (criteria) for guaranteeing the Schur D‐stability of interval matrices are derived, two equivalence relations between the Schur D‐stability and the vertex stability of interval matrices are proposed, and a new Schur D‐stability range of an interval matrix is presented.Research limitations/implicationsControl theory or stability theory. These stability criterion possess simple forms and provide useful tools to check Schur D‐stability of interval matrices (including point matrix) at first stage.Practical implicationsThe paper provides useful tools to check Schur D‐stability of interval matrices (including point matrix) at first stage.Originality/valueTwo equivalence relations between the Schur D‐stability and the vertex stability for general interval matrices (including point matrix) are proposed, such that the conditional limitations for tridiagonal matrix in recent papers are broken. A new Schur D‐stability range of an interval matrix is presented, and several simple sufficient conditions are obtained which guarantee the Schur D‐stability of interval matrices (including point matrix).
A fuzzy evaluation system for web services selection using extended QoS model
Authors: Tong Hongxia , Cao Jian , Zhang ShenSheng , Mou Yujie 
Published: May 2009

PurposeThis paper aims to define an extended QoS model to accurately describe the quality of web service in the open distributed environment and propose a fuzzy evaluation approach for services selection based on the extended QoS model.Design/methodology/approachThe extended QoS model classifies the quality criteria of web service as five composite quality criteria, and each composite quality criterion is composed by one or more sub‐quality criteria. Considering the multiple forms of representation for the quality criteria and different types of quality value could not be compared directly, a scaling fuzzy measure for quality criteria is introduced. Based on the scaling fuzzy measure of the quality criteria, a fuzzy synthetic evaluation system for services selection is proposed.FindingsThe quality of web service has multiple facets and multiple forms of representation. The fuzzy synthetic evaluation system can deal well with the fuzzy and implicit concepts about quality evaluations and provides higher expressive force and adaptability.Research limitations/implicationsThe quality of service in this paper is static preset.Originality/valueThe extended QoS model and the synthetic fuzzy evaluation system cover the shortage of the related researches and lay the foundations for QoS‐oriented service description and services selection.
Optimal portfolio model under compound jump processes
Authors: Wan Shuping 
Published: May 2009

PurposeThe purpose of this paper is to research the optimal portfolio proportion for the optimal investment model and the optimal consumption investment strategies for the optimal consumption investment model under compound‐jump processes.Design/methodology/approachTraditionally, the price of risky security or asset is often modeled as geometric Brownian motion. However, the analysis of stock price evolution reveals sudden and rare breaks logically accounted for by exogenous events on information. It is natural to model such behavior by means of a point process, or, more simply, by a Poisson process, which has jumps of constant size occurring at rare and unpredictable intervals. Assume that the price of risky security stock is modeled by a compound‐jump process, the renew process theory is chosen to solve the optimal investment model, the HJB equation is chosen for the optimal consumption investment model.FindingsDerive the analytical optimal portfolio proportion for the reduction model of optimal investment. The optimal consumption investment strategies are given by some equations for the optimal consumption investment model.Research limitations/implicationsAccessibility and availability of data are the main limitations which model will be applied.Practical implicationsThe results obtained in this paper could be used as a guide to actual portfolio management.Originality/valueThe new approach for the optimal portfolio model under compound‐jump processes. The paper is aimed at actual portfolio managers.
Emerging technologies: software‐intensive systems and other current developments
Authors: Rudall B.H. , Mann C.J.H. 
Published: May 2009

PurposeThis paper aims to review current research and developments with particular reference to the emerging technologies.Design/methodology/approachA general review and survey of selected research and development topics is given, and studies in software‐intensive systems are highlighted.FindingsThe paper illustrates the multi‐ and trans‐disciplinary natures of studies in cybernetics, systems and management science with a view to further research and development activity.Practical implicationsThe choice of reviews provides an awareness of current trends in these areas of endeavour.Originality/valueThe reviews are selected from a global database and give a studied assessment of current research and development initiatives.
Machine consciousness, ambisonics
Authors: Andrew Alex M. 
Published: May 2009

PurposeThe purpose of this paper is to review machine consciousness (MC) and machine modelling of consciousness (MMC) with acknowledgement that their study may contribute to understanding of biological consciousness. The death of Peter Fellgett, the first Professor of Cybernetics in the UK, is noted, with a brief reference to his work on infra‐red spectroscopy and slightly more on his work on ambisonics, or surround‐sound audio reproduction. The work of his collaborator in this, Michael Gerzon, is shown to be well represented on the internet.Design/methodology/approachThe aim is to review developments on the internet, especially those of general cybernetic interest.FindingsIt is suggested that the evolutionary advantages of consciousness do not get the attention they should and also that reconciliation is needed with the “Cambrian Intelligence” viewpoint of Brooks. Only two fields of activity of Peter Fellgett are mentioned, particularly since his achievements will certainly be featured in a later issue ofKybernetes.Practical implicationsSpeculation about MC may well contribute to understanding of the biological variety as well as to robotics techniques as such. Fellgett's contributions to spectroscopy are immensely valuable in astronomy and elsewhere and his work with Gerzon on audio reproduction is a classic study, even if commercially unsuccessful.Originality/valueIt is hoped this is a valuable periodic review.
The decomposition method applied to systems of linear Volterra integral equations of the first kind
Authors: Ngarasta Ngarkodje , Rodoumta Koina , Sosso Henri 
Published: May 2009

PurposeThe purpose of this paper is to solve systems of linear Volterra integral equations of the first kind by the Adomian decomposition method (ADM). An elegant and reliable technique is outlined to find canonical form of ADM.Design/methodology/approachThe approximate solution of systems of linear Volterra integral equations is calculated in the form of series with easily computable components. In this work, some methods based on substitution techniques are presented to permit the application of ADM to systems of integral equations of the first kind.FindingsThe approach developed in this work is valuable as a tool for scientists and applied mathematicians. It provides immediate and visible symbolic terms of analytical solution as well as its numerical approximate solution to systems of integral equations of the first kind, without linearization or discretization. The presented technique has many advantages over the traditional methods because it takes into account some systems of integral equations of first kind where the kernels present some singularities.Research limitations/implicationsA reliable method for obtaining approximate solutions of linear systems of integral equations of the first kind using the ADM which avoids the tedious work needed by traditional techniques has been developed.Practical implicationsThe research provides a new efficient method for solving systems of integral equations of first kind using ADM. The convergence result is investigated also and some numerical examples are given to illustrate the importance of the analysis presented.Originality/valueThe technique is both innovative and efficient, and an original approach for solving any kind of systems of linear Volterra integral equations of the first kind.