bluuebunny/crossref_metadata_2025_split huggingface dataset:
Text resource emergence: discovering evolutionary event patterns from web texts
Authors: Zhao Chengli , Yi Dongyun 
Published: March 2013

PurposeThe purpose of this paper is to research integrating web text resources and mine its emergence.Design/methodology/approachWith the understanding of characteristics of internet resources, this paper will focus on solving the problem of text resource aggregation in open environment and its emergence showed during aggregation over time. The authors process these text resources, both in space and time dimension, through viewing them as an event stream evolving over time, and attempt to discover the evolutionary event patterns and furthermore, to mine the emergence of text content.FindingsThe proposed methods are generally applicable to text stream data and have many potential applications in text resource aggregation in open environment.Research limitations/implicationsThe main limitation is availability of data.Practical implicationsThe paper presents a very useful method for text resource aggregation in an open environment.Originality/valueThe paper presents a new method to integrate web text resources and mine its emergence.
Risk in integrated leapfrogging mode of technological innovation
Authors: Chen Yun , Liu Jia , Xie Kefan 
Published: March 2013

PurposeThe purpose of this paper is to present an integrated leapfrogging mode of technological innovation for developing countries or latecomer enterprises in a certain industrial innovation field. Furthermore, this paper discusses the basic paradigm of the integrated leapfrogging innovation, analyzes the risk in the integrated leapfrogging mode, and describes the risk map of the integrated leapfrogging mode. Finally, taking the example of the integrated leapfrogging mode of technological innovation in developing China High‐speed Railway, this paper carries out the simulation analysis by employing system dynamics model.Design/methodology/approachIn order to examine the impact of the integrated leapfrogging innovation risk on innovative achievements, main risk variables need to be extracted from the process of the integrated leapfrogging innovation, based on the system simulation, relationships among different variables and the impact on innovative achievements can be obtained.FindingsTo prevent the risk of the integrated leapfrogging innovation across the innovation, the first thing we need to improve is the contractual relationship, which is to be fair and reasonable, according to the symmetry principles of risks and benefits, and to achieve risk‐sharing and revenue sharing, in addition, all parties must be clear about their responsibilities and interests. The second is the reasonable position of the government's behavior, and it hints that the government cannot interfere too much, and its function is to provide service and support instead of ordering. The third is that enterprises should effectively prevent the risk of the integrated leapfrogging innovation through risk identification and risk early warning and risk pre‐control approach.Originality/valueA new concept of integrated leapfrogging mode of technological innovation has been put forward, and the risk map of the integrated leapfrogging mode has been described. In addition, this paper proposes some suggestions to prevent the risks of the integrated leapfrogging innovation for enterprises as a reference.
Flight rescheduling responding to large‐area flight delays
Authors: Gao Mingang , Chi Hong , Xu Baoguang , Ding Ruo 
Published: March 2013

PurposeThe purpose of this paper is to focus on disruption management responding to large‐area flight delays (LFD). It is urgent for airways to reschedule the disrupted flights so as to relieve the negative influence and minimize losses. The authors try to reduce the risk of airline company's credit and economic losses by rescheduling flights with mathematic models and algorithm.Design/methodology/approachBased on flight classifications of real‐time statuses and priority indicators, all flights are prioritized. In this paper, two mathematic programming models of flight rescheduling are proposed. For the second model, an optimum polynomial algorithm is designed.FindingsIn practice, when LFD happens, it is very important for the airline company to pay attention to real‐time statuses of all the flights. At the same time, the disruption management should consider not only the economic loss but also other non‐quantitative loss such as passengers' satisfaction, etc.Originality/valueIn this paper, two mathematic programming models of flight rescheduling are built. An algorithm is designed and it is proved to be an optimum polynomial algorithm and a case study is given to illustrate the algorithm. The paper provides a theory support for airways to reduce the risk brought by LFD.
Progress supervision information system for GIP with ACS
Authors: Wu Yunna , Huang Yong , Luo Wei 
Published: March 2013

PurposeThe role of a government investment project (GIP) management supervisor is to improve supervision performance and the Chinese government has issued a series of polices, displaying the determination to solve supervision problems. The purpose of this paper is to assist the government to play its role of supervisor and to realize progress supervision performance for GIP in practice with the Agent Construction System (ACS).Design/methodology/approachTaking consideration of the essence of ACS, the paper analyzes the system supported theory, which is a supervision mechanism, with contract management as the core and goals as orientation. The authors design the system frame and its composing modules according to the main function of this information system.FindingsThe research builds an expected supervision information system with four functional modules, which is designed according to logical sequence of supervision, based on a theoretical supervision mechanism.Originality/valueThe system is, to the best of the authors' knowledge, the most advanced and practical information system for GIP supervision published in the literature.
Echo state network with wavelet in load forecasting
Authors: Niu Dongxiao , Ji Ling , Wang Yongli , Liu Da 
Published: March 2013

PurposeThe purpose of this paper is to improve the accuracy of short time load forecasting to ensure the economical and safe operation of power systems. The traditional neural network applied in time series like load forecasting, easily plunges into local optimum and has a complicated learning process, leading to relatively slow calculating speed. On the basis of existing literature, the authors carried out studies in an effort to optimize a new recurrent neural network by wavelet analysis to solve the previous problems.Design/methodology/approachThe main technique the authors applied is referred to as echo state network (ESN). Detailed information has been acquired by the authors using wavelet analysis. After obtaining more information from original time series, different reservoirs can be built for each subsequence. The proposed method is tested by using hourly electricity load data from a southern city in China. In addition, some traditional methods are also applied for the same task, as contrast.FindingsThe experiment has led the authors to believe that the optimized model is encouraging and performs better. Compared with standard ESN, BP network and SVM, the experimental results indicate that WS‐ESN improves the prediction accuracy and has less computing consumption.Originality/valueThe paper develops a new method for short time load forecasting. Wavelet decomposition is employed to pre‐process the original load data. The approximate part associated with low frequencies and several detailed parts associated with high frequencies components give expression to different information from original data. According to this, suitable ESN is chosen for each sub‐sequence, respectively. Therefore, the model combining the advantages of both ESN and wavelet analysis improves the result for short time load forecasting, and can be applied to other time series problem.
Agent behaviors and coordinative mechanism
Authors: Zheng Xiaojing , Xu Xusong , Cui Luo Cui 
Published: March 2013

PurposeThe purpose of this paper is to improve the behaviors coordination mechanism, to maintain the system's long time‐scale and stable competitive capability, when the agents in the system focus on cooperating with each other.Design/methodology/approachEffort level for every agent, whose dynamics can be described as a stochastic partial differential equation, and the incentive of effort as the control of the corresponding agent, are introduced to describe agents' behavior abstracted. The cooperative stochastic differential game model is constructed: first, the optimal resolve trajectory mapping with profit maximization of the system are obtained, then the transitory imputation coupled with effort initial state of the system by introducing dynamic Shapley value imputation method. Based on the results obtained, the profit distribution strategies and the equilibration incentive compensation mechanism are given, due to the evolution law of the payoff and the state variable.FindingsIt is concluded that: the transitory compensation to agent for efforts and incentive, which can be changed with the system state at current and in history and in future changed, would guarantee the realization of the Shapley value imputation throughout the game horizon.Originality/valueIn this paper, the interactivity between agents in the system is considered first. The dynamical Shapley imputation mechanism and the transitory compensatory mechanism are provided to make the imputation more stable and feasible.
Human resources in an enriched environment of business intelligence
Authors: Kapoor Bhushan , Sherif Joseph 
Published: March 2013

PurposeWhile many organizations are starting to use business intelligence (BI) in many areas of their businesses and make substantial gains, they have taken little advantage of this in the human resources (HR) management area. The purpose of this paper is to advance BI and data analytics technologies as precursors to the design of HR management protocols and database strategies.Design/methodology/approachThe paper discusses the fact that the increasing prevalence of globalization is driven by a number of factors including growing consumers in developing countries, technological progress, and worldwide workforce diversity. HR departments of global companies must implement BI techniques and assemble global databases that obtain information such as employee's attrition and hiring, compensation and benefits, ethnic, gender, cultural, and nationality distributions. By applying advanced analytical techniques on the global database, human resources professionals will acquire intelligent business insight, predict changes and make informed decisions at operational and strategic levels.FindingsThe business environment is constantly evolving into a more complex system and with global competition, decision making in organizations has become increasingly intricate and convoluted. This creates challenges for global organizations' HR departments to manage a workforce diverse in cultures, time zones, expertise, benefits and compensations.Practical implicationsOnly those multinational enterprises willing to adapt their human resource practices to the changing global labor market conditions will be able to attract and retain high performing employees. BI and data analytics can aid in making informed decisions based on knowledge extracted from the data and options at hand. Organizations that have successfully implemented BI are able to make decisions quickly and with more accuracy. They have better and faster access to the key activities and processes that the organizations and its functional departments must pursue to meet their goals and objectives.Originality/valueThe paper tackles one of the most critical problems of educating multinational enterprises to adapt their HR practices to the changing global labor market conditions. By incorporating BI and data analytics in the design of HRM protocols and database strategies they can attract, develop and retain high performing employees and succeed in the global business competition.
Introduction to special issue on “Recent advances of engineering management and risk management in China”
Authors: Dash Wu Desheng 
Published: March 2013

PurposeAs a traditional area, engineering management has always been at the core of the research study in academia. In the current uncertain world, more and more attention is paid to risk management. New risks in many practical engineering management problems require new computational methods and tools. The purpose of this paper is to introduce the state‐of‐the‐art research in engineering management and risk management in China.Design/methodology/approachThe collected papers are briefly reviewed and positioned in existing work.FindingsThe special issue includes a variety of perspectives on engineering management and risk management from the Great China area.Originality/valueThe paper shows that all the papers address interesting research problems.
Introducing managers to the VSM using a personal VSM
Authors: Robinson David T. 
Published: March 2013

PurposeThe purpose of this paper is to present the results of a short research study that introduced a group of busy managers, in an organisation in turmoil, to Stafford Beer's Viable System Model (VSM) through the use of a personal construct, developed by Allenna Leonard.Design/methodology/approachThis study, designed as systemic action research, was a final project towards an Open University Masters in Systems Thinking in Practice. Initially managers were introduced to the personal VSM and invited to design their own VSM as systemic action learning. This was followed by an introductory collaborative inquiry to enable the managers to use their VSM learning to interrogate their organisational domain through the VSM lens.FindingsThe managers engaged well with the personal VSM (PVSM). All the managers reported that the PVSM was a useful learning tool and provided beneficial professional development to help clarify activities, priorities and their roles. They reported that the collaborative meeting was a very useful means to help them see others' perspectives and work towards gaining a shared understanding of the issues and challenges within the organisation through the VSM lens.Practical implicationsThe VSM is not well understood or routinely used in current management thinking. This method of introducing the VSM to managers has wide implications for providing managers with an introduction to systems thinking and an opportunity to engage openly with a valuable tool that will help their understanding of modern organisational complexity.Originality/valueUsing the personal VSM with managers has not been reported before and this study provides new opportunities to develop a means to introduce complex conceptual systems models to busy managers.
Elements of a cybernetic epistemology: elementary anticipatory systems
Authors: Nechansky Helmut 
Published: March 2013

PurposeThe purpose of this paper is to analyze how elementary anticipation, understood as anticipation of the repetition of one known pattern, can emerge out of sequence learning and how it can contribute to the behavioral options of goal‐oriented systems.Design/methodology/approachA functional approach is used to develop the necessary cybernetic structures of a subsystem for sequence learning that can additionally provide standards of anticipated patterns for future pattern matching. Based on that it is analyzed, how a goal‐oriented system can use the information about the actual occurrence of an anticipated pattern.FindingsA subsystem for elementary anticipation of single patterns builds on sequence learning and requires additionally a structure: first, to unequivocally identify the beginning of known sequences just from their first patterns; and second, to decide to use a latter pattern of such a sequence as standard for an anticipated pattern. Deciding to actually use such a pattern for anticipation requires an additional subsystem to switch between the feedback pattern recognition mode and feedforward. Then the occurrence of such an anticipated pattern allows immediate recognition and action.Practical implicationsThe paper shows a necessary evolution of cybernetic structures from pattern recognition via sequence learning to anticipation; and it shows, too, a necessary evolution in the cognitive development of individual systems. In the simple anticipatory structures analyzed here, only known patterns, that are part of a known sequence, can become anticipated patterns.Originality/valueThe paper places elementary anticipation of single patterns in an evolutionary development based on pattern recognition and sequence learning. It provides the base to analyze more complex forms of anticipation.
A reliable modification of the Adomian decomposition method for higher‐order nonlinear differential equations
Authors: Rach Randolph , Wazwaz Abdul‐Majid , Duan Jun‐Sheng 
Published: March 2013

PurposeThe purpose of this paper is to propose a new modification of the Adomian decomposition method for resolution of higher‐order inhomogeneous nonlinear initial value problems.Design/methodology/approachFirst the authors review the standard Adomian decomposition scheme and the Adomian polynomials for solving nonlinear differential equations. Next, the advantages of Duan's new algorithms and subroutines for fast generation of the Adomian polynomials to high orders are discussed. Then algorithms are considered for the solution of a sequence of first‐, second‐, third‐ and fourth‐order inhomogeneous nonlinear initial value problems with constant system coefficients by the new modified recursion scheme in order to derive a systematic algorithm for the general case of higher‐order inhomogeneous nonlinear initial value problems.FindingsThe authors investigate seven expository examples of inhomogeneous nonlinear initial value problems: the exact solution was known in advance, in order to demonstrate the rapid convergence of the new approach, including first‐ through sixth‐order derivatives and quadratic, cubic, quartic and exponential nonlinear terms in the solution and a sextic nonlinearity in the first‐order derivative. The key difference between the various modified recursion schemes is the choice of the initial solution component, using different choices to partition and delay the subsequent parts through the recursion steps. The authors' new approach extends this concept.Originality/valueThe new modified decomposition method provides a significant advantage for computing the solution's Taylor expansion series, both systematically and rapidly, as demonstrated in the various expository examples.
A segmentation study of Mexican consumers based on shopping centre attractiveness
Authors: González‐Hernández Eva M. , Orozco‐Gómez Margarita 
Published: March 2013

PurposeThe purpose of this paper is to identify shopping centre attractiveness dimensions from the point of view of the Mexican shopper and then segment shoppers according to these perceptions of attractiveness.Design/methodology/approachData were collected through a survey of 1,500 regular shopping centre consumers from the Metropolitan Area of Guadalajara (MAG), Mexico. This research study was carried out from January to April 2010. Five of the largest shopping centres, including a lifestyle centre, a community centre, a regional shopping centre, and a small regional shopping centre participated voluntarily in this research study.FindingsThe attractiveness attributes of six shopping centres were identified through a factorial analysis: mall essence, popularity and promotional programs, personal service, recreational options, internal atmosphere, and external atmosphere. Also, a cluster analysis of these factors revealed three types of consumers with significantly different perceptions of shopping centres: serious, enthusiast, and basic. The outcomes were validated by a multiple discriminant analysis. Multiple discriminant results suggest that the dimension of popularity and promotion programs is the first to be distinguished among segments, followed by internal and external atmosphere.Practical implicationsFrom a managerial perspective, the study provides practical advice to managers in order to support marketing and positioning strategies for their shopping centres, focusing on a particular segment of consumers.Originality/valueThis study contributes to the body of research on shopping centre attractiveness and shopper segments by providing information regarding Mexican consumer perceptions of shopping.
Fashion retailing in the new economy: the case of SMEs
Authors: Donnell Lisa , Hutchinson Karise , Reid Andrea 
Published: March 2013

PurposeThe purpose of this paper is to identify how small to medium‐sized enterprise (SME) fashion retailers can achieve a true understanding of customer trends to close the needs to offer gap in a highly dynamic sector.Design/methodology/approachA single case study approach is adopted in light of the limited research in this area. Data collection involved a multi‐stage and multi‐methods approach over a six month period to increase the validity of findings and the triangulation of data.FindingsThe findings of this paper highlight, first, the need for formal CRM intervention; and, second, the issues involved in the implementation of a loyalty program.Originality/valueIn the absence of specific knowledge in this area, a framework is developed to advance both theoretical and practical understanding of how SME fashion retailers can build and manage close customer relationships in the new economy.
Something old, something used
Authors: Cervellon Marie‐Cécile , Carey Lindsey , Harms Trine 
Published: March 2013

PurposeVintage has been a growing trend in clothing recently, leading to major fashion brands launching collections inspired by vintage pieces or luxury haute‐couture houses digging into their archives to revive past designs. Yet, as this market develops, little is known about the profile of the consumer and the motivations to purchase vintage. This paper aims to explore the veracity of a number of assumptions relating to vintage consumption, equating it to the consumption of used, previously owned clothes by nostalgic prone, environmentally‐friendly or value‐conscious consumers.Design/methodology/approachA quantitative approach including structural equation modeling (SEM) was employed in this research using data collected from 103 women (screened on past second‐hand purchases). Vintage clothes were defined as pieces dating back from the 1920s to the 1980s. Second hand clothes were defined as modern used clothes.FindingsThe results show that the main antecedents to vintage consumption are fashion involvement and nostalgia proneness as well as need for uniqueness through the mediation of treasure hunting. In contrast, second‐hand consumption is directly driven by frugality. Eco‐consciousness plays an indirect role through bargain hunting. In essence, the thrill of the hunt is present for vintage and for second hand consumption. Yet, while vintage consumers shop for a unique piece with history, second‐hand consumers shop for a unique piece at a good price. Additionally, the main characteristics of vintage fashion consumers are a higher level of education and higher income whereas age is not directly related to the purchase of vintage pieces.Originality/valueThe paper discusses the relevance of second‐hand stores repositioning as vintage based on vintage and second‐hand consumers' profiles. Also, the need to educate consumers on the role of second‐hand consumption in a pro‐environmental lifestyle is highlighted.