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To resolve the drawback in the existing methods for query refinement by using semantic technologies. Design/methodology/approach – The article introduces a conceptual space (ontology) in which a query refinement problem will be treated. In that space a query is modeled as a set of logic formulas, query refinement process is modeled as an inferencing process. The approach is focused on the positive conjunctive queries.

This (re)opens a question about a need for a more semantic‐based indexing of documents in the traditional information retrieval in order to improve the overall retrieval performances. This experimental study has shown that the semantics arisen (emerged) from row documents has enough quality to enable building query refinement methods that outperform the most advanced syntactic‐driven methods. Consequently, one can imagine a more emergent‐semantic based indexing process that will retain the autonomy of web data, but will significantly increase the precision of the retrieval process performed by a traditional search engine.

A novel approach for the query refinement is presented. It deals with the conceptual level of a user's query. Another benefits is that this conceptual structure emerges from the textual data automatically. The case study shows how a traditional full‐text search engine can benefit from applying this approach.

The purpose of this paper is to develop a method to model entire structures on a large scale, at the same time taking into account localized non-linear phenomena of the discrete microstructure of cohesive-frictional materials.

Finite element (FEM) based continuum methods are generally considered appropriate as long as solutions are smooth. However, when discontinuities like cracks and fragmentation appear and evolve, application of models that take into account (evolving) microstructures may be advantageous. One popular model to simulate behavior of cohesive-frictional materials is the discrete element method (DEM). However, even if the microscale is close to the macroscale, DEMs are computationally expensive and can only be applied to relatively small specimen sizes and time intervals. Hence, a method is desirable that combines efficiency of FEM with accuracy of DEM by adaptively switching from the continuous to the discrete model where necessary.

An existing method which allows smooth transition between discrete and continuous models is the quasicontinuum method, developed in the field of atomistic simulations. It is taken as a starting point and its concepts are extended to applications in structural mechanics in this paper. The kinematics in the method presented herein is obtained from FEM whereas DEM yields the constitutive behavior. With respect to the constitutive law, three levels of resolution – continuous, intermediate and discrete – are introduced.

The overall concept combines model adaptation with adaptive mesh refinement with the aim to obtain a most efficient and accurate solution.

The purpose of this paper is to analyze the evolution of the corporate social responsibility (CSR) pyramid conceived by Archie B. Carroll. Anchored by theoretical and empirical evidence, this paper proposes a new model of analysis: the “CSR Spinner.”

To propose this new model, the authors are presenting a conceptual paper.

As a result of the analyses conducted in this paper, the authors propose the “CSR Spinner” model. This model which contemplates four dimensions (ethical, economic, legal and philanthropic) has in its structure a center bearing and three lobes that are derived from the center. In the center of the “CSR Spinner,” the ethical dimension is positioned and in the lobes are the other dimensions. In the “CSR Spinner,” the ethical dimension has the role of giving the model dynamism, defining both the direction and speed with which the lobes rotate, thus generating total CSR.

The “CSR Spinner” is original, as it consists of a new way of conceiving of the CSR pyramid.

As a knowledge instrument that allows the manipulation of reality, that is, to think, analyze, understand and predict this reality, the “CSR Spinner” model has the potential to provide advances in research on CSR. Because it proposes a theoretical refinement, this model still needs to go through a process of theoretical and empirical validation.

The “CSR Spinner” model has pragmatic connotations that can help corporate management adapt to various national and international contexts.

The “CSR Spinner” model represents an advance over the CSR pyramid, because of the model’s characteristics of dynamism, flexibility and adaptability across all types of organizations and within various national and international contexts.

The purpose of this paper is to present evidence of the need to have a carefully designed lexical model for speech recognition for dyslexic children reading in Bahasa Melayu (BM).

Data collection is performed to obtain the most frequent reading error patterns and the reading recordings. Design and development of the lexical model considers the errors for better recognition accuracy.

It is found that the recognition accuracy is increased to 75 percent when using context‐dependent (CD) phoneme model and phoneme refinement rule. Comparison between context‐independent phoneme models and CD phoneme model is also presented.

The most frequent errors recognized and obtained from data collection and analysis illustrate and support that phonological deficit is the major factor for reading disabilities in dyslexics.

This paper provides the first step towards materializing an automated speech recognition (ASR)‐based application to support reading for BM, which is the first language in Malaysia.

The paper contributes to the knowledge of the most frequent error patterns for dyslexic children's reading in BM and to the knowledge that a CD phoneme model together with the phoneme refinement rule can built up a more fine‐tuned lexical model for an ASR specifically for dyslexic children's reading isolated words in BM.

This paper presents a model of resources refinement for systematically and comprehensively deriving competence-based competitive advantages. Competence-based competitive advantages support market-based strategies. They reinforce the overall market-based advantages of low costs, product differentiation and minimal cost differentiation at the business unit level and of carrying out tasks jointly in a performance compound at the corporate level. Competence-based competitive advantages also support resource-based strategies by reinforcing the advantages of product innovation skills at the business unit level and transfer of core competences in a performance compound at the corporate level.

The purpose of this paper is to identify the development of planned organisational change models (POCMs) since Lewin’s three-step model and to highlight key linkages between them.

A total of 13 commonly used POCMs were identified and connections with Lewin’s three-step framework and associated process attributes were made, reflecting the connections between these models and Lewin.

The findings show that first Lewin’s three-step model represents a framework for planned change; however, these steps could not be viewed in isolation of other interrelated processes, including action research, group dynamics, and force field analysis. These process steps underpin the iterative aspects of his model. Second, all 13 POCMs have clearly identified linkages to Lewin, suggesting that the ongoing development of POCMs is more of an exercise in developing ongoing procedural steps to support change within the existing framework of the three-step model.

The authors recognise that the inclusion of additional POCMs would help strengthen linkages to Lewin. The findings from this paper refocus attention on the three-step model, suggesting its ongoing centrality in planned organisational change rather than it being dismissed as an historical approach from which more recently developed models have become more relevant.

This paper presents opportunities for organisational change management researchers to challenge their thinking with regard to the ongoing search for model refinement, and for practitioners in the design and structure of POCM.

An analysis of the ongoing relevance of Lewin and his linkage with modern POCMs assist in rationalising the broadening, and often confusing literature on change. This paper therefore not only contributes to filtering such literature, but also helps clarify the myriad of POCMs and their use.

The purpose of this paper is to examine the development, extension and use of the “six markets” model and to outline a framework for analysing stakeholder relationships and planning stakeholder strategy.

The “six markets” stakeholder model is examined. Refinement of the model and improved understanding as a result of field‐based research is described. A stakeholder relationship planning framework is proposed.

The paper examines the use of the “six markets” model in a wide range of organisational contexts utilizing a range of research approaches. A stakeholder relationship planning model is developed consisting of four inter‐related elements, i.e. stakeholder value propositions, value delivery design, stakeholder relationship marketing plans, and measurement and feedback.

The article suggests a number of areas for future research, including the development of planning approaches for different classes of stakeholders and more detailed testing of the stakeholder model and planning framework in specific market sectors.

The research suggests that managers find that the development and implementation of relationship plans for the key stakeholder markets generates valuable new knowledge and insights into stakeholder conditions, constraints and opportunities.

This article contributes to knowledge in the relationship marketing and stakeholder theory areas through the development, refinement and use of a planning model that addresses the complexity of stakeholder relationships and networks. The stakeholder planning approach that is developed represents a means by which managers can achieve greater transparency of stakeholders' interests and improved rigour in planning relationships with stakeholders.

The purpose of this study includes two parts. First, it introduces a machine-based method for model and instrument development and updating that integrates large sample qualitative data. Second, a new model and instrument for e-commerce customer satisfaction are developed.

The research occurs in two phases. In Phase 1, data collection occurs with a literature-based quantitative model and instrument that includes at least one qualitative scale item per construct. Data analysis of the resulting data includes factor analysis (FA) and latent semantic analysis text mining to generate an updated model and instrument. In Phase 2, data collection uses the new model and instrument. Data analysis in Phase 2 includes exploratory data analysis with FA, exploratory structural equation modeling and partial least square modeling.

As a result of the information gained by the integration of qualitative scales in the literature-based survey, the final model departs substantially from the initial research-based research model. It integrates many of the constructs known to impact a website and software usability from information systems research into a new e-retail satisfaction model.

The research method, as presented here, offers a strategy for integrating large scale qualitative data for refinement of models and the development of instruments. It is essentially a method of gaining the wisdom of crowds economically while simultaneously reducing the biases and laborious effort commonly associated with qualitative research.

This paper aims to describe the creation of an e‐business functional requirements definition model using a case study process.

The creation of this model was the subject of a research project, the hypothesis of which is that it is possible to produce a model that can be used in real life situations to specify, using objective reasoning, the e‐business requirements of an organisation.

The research demonstrated a practical method of creating and refining this model and further was able to demonstrate that there were reasonable prospects of converging towards a stable model.

The paper has demonstrated that it has produced an acceptable model by using a case study process that gives sound results. It is also felt that it has validated the basic research method that was adopted.

An innovative tool has been created whereby a specification of e‐business requirements can be created in a matter of a few hours, compared with the weeks' or months' worth of effort often involved in the use of the traditional business systems analysis process. Based on the operating characteristics of a company and the concerns of its management, the specification avoids the prejudices of consultants and vested interests of salesmen.

The computerised rule‐based system is easy to use and leads to a significant reduction in the time taken to generate an accurate functional specification. In addition, it provides a useful way of generating overall insights and communicating an e‐business requirements picture at a management summary level.

An attempt is made to relate a morale model developed by Stogdill to the three factors identified in 1972 by Smith, Bonnett and Smith and recently confirmed by Williams and Lane. Morale is perceived as being at least a three‐dimensional group output which, like productivity, contributes to individual inputs, expectations, interactions and performance. It is suggested that the intervening variables of leadership, purpose, task, and role perceptions may cause changes in output without any change in individual inputs at a given time. Morale surveys are pertinent to a specific place and specific time: they do not readily lend themselves to prediction.