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New knowledge creation has gained currency in the global knowledge economy. It is important not only for big firms, but for small and medium size enterprises (SMEs) also. Indian automotive components sector is one of the fastest growing sectors of Indian economy and is dominated by SMEs. This research work aims to study the knowledge creation and categorization in SMEs in Indian automotive components sector.

This paper uses a survey method to collect primary data to study knowledge creation and categorization in automotive components manufacturers.

Among various kinds of knowledge, knowledge about customers is given most importance. Though new knowledge creation is gaining importance, research and development spending as percentage of turnover are very low. International automotive components manufacturers have a better perception about knowledge creation compared to the prevalent view in Indian firms. In terms of relevance, latest and timeliness, Indian and international automotive components manufacturers pay little credence to the knowledge available through government institutions and industry associations. Industry associations and governments need to have a re‐appraisal of their practices and make their working more useful, fast and updated.

This work has policy implications for government and industry associations. Corrective measures are suggested for industry associations and government bodies for contributing to knowledge creation and implementing knowledge management in organizations.

First of its kind study in SMEs, particularly automotive components sector in India. It studies the current state of knowledge creation and categorization and suggests guidelines for improving knowledge creation in SMEs.

Knowledge management is crucial for enterprise resource planning (ERP) systems implementation in real industrial environments, but this is a highly demanding task. The purpose of this paper is to examine the effectiveness of knowledge identification, categorisation and prioritisation that contributes to achieving ERP implementation success.

This study adopts a mixed methods approach; a qualitative phase to identify and categorise knowledge types and sub-types; conducting in-depth interviews with ERP clients and implementation partners; plus a quantitative phase to prioritise knowledge types and sub-types based on their contribution to achieving ERP success for business performance improvement. An analytic hierarchy process-based questionnaire was used to collect empirical data for the quantitative phase.

This study has been able to identify, categorise and rank various types of ERP-related knowledge based on in-depth interviews and survey responses from both ERP clients and implementation partners. In total, 4 knowledge types and 21 sub-types were ranked based on their contribution to achieving ERP success; 4 variables of information quality, systems quality, individual impact and organisational impact were used to measure ERP success.

The empirical findings demonstrate exactly what kinds of knowledge need to be managed, enabling knowledge prioritisation when a client organisation or an implementation partner steps into an ERP implementation, in a real industrial environment.

This study aims to explore a new restaurant category’s development from birth to maturity, thereby explaining the rationale for category innovation strategies.

The authors conducted a qualitative case study analysis of the New Chinese-style Fusion Restaurant category’s development from birth to maturity. Thematic analysis was conducted on data collected from semi-structured interviews and textual information.

A new restaurant category’s maturation is determined by the formation of society’s shared knowledge about the category’s crucial attributes, which is an outcome of market participants’ category-related social practices. The authors develop a novel, four-stage framework for the socialized construction of this shared knowledge: a knowledge creation (KC), knowledge diffusion (KD), knowledge integration (KI) and knowledge structuralization (KS). This knowledge evolution along this KC–KD–KI–KS sequence can holistically describe the category maturation process. This framework can help understand the rationale for a restaurant category’s maturation by analyzing the interrelationships among market participants’ social practices, knowledge-related activities and market development.

This study explains how market participants’ knowledge-related activities facilitate a new restaurant category’s maturation. This can help restaurant managers cope with increasingly homogeneous competition by applying a category-innovation strategy.

This study extends product categorization research on restaurants by articulating a product category’s maturation process from a knowledge perspective.

As economies move into the information age and post‐industrial era, information and knowledge become important resources to organizations. The article sets out to discuss the role and contribution of business process modeling (BPM) in the knowledge management initiative and in the management of company‐specific knowledge.

The authors consider BPM as a tool for knowledge management that allows the transformation of informal knowledge into formal knowledge and facilitates its externalization and sharing. The article starts with the brief introduction of the theoretical background of business process modeling and its basic concepts, and also presents definitions and concepts of major knowledge categories, knowledge processes and knowledge resources, as have been given by different authors in the knowledge management (KM) domain. These definitions are used as a basis for the knowledge category model and knowledge process model proposed by the authors.

The article presents findings of the mapping process of the BPM concepts into the knowledge life‐cycle model, proposed by Nonaka and Takeuchi and knowledge categories defined by different authors. During mapping, the authors experienced a lack of explicit and widely accepted definitions of knowledge categories and knowledge processes in respect of all knowledge features.

The article emphasizes an important differentiation between various categories of knowledge, identified in the BPM process, as a basis for the business process‐related knowledge categorization and identification of key knowledge processes. The article also presents the theoretical framework, which gives an account of how and when business process models capture and allow the sharing of knowledge. The framework identifies key knowledge categories, stages in knowledge transformation, and activities in this process.

The purpose of this paper is to examine the individual and joint effects of the two design dimensions, form design and functional design, and moderating role of product innovativeness and technological sophistication in consumer’s evaluation of new products. Employing theoretical underpinnings from categorization theory, this paper investigates two major research questions. First, what type of form is more advantageous for a radically new product or an incrementally new product? Second, is there an individual difference in consumer evaluations to innovative products with various form designs?

One pre-test and three between-subject experiments were performed. In Experiments 1 and 2, a two-way between-group ANOVA analysis was performed to examine the effect of form and the degree of technological innovation on attitude toward the product using different product categories (car and camera). In Experiment 3, a three-way between-group ANOVA analysis was performed to explore the impact of form, the degree of technological innovation and consumer technological sophistication on attitude toward the product.

The results from the three experiments conducted demonstrate that, first, whereas the form design for incremental innovations must be closer to the incumbent products for favorable evaluations, less typical form is evaluated as good as a more typical form for radical innovations. Second, form design of an innovative product matters more to the technologically more sophisticated consumers (experts).

This paper extends the previous design literature and fills the gap of under-researched area by demonstrating that individual difference, technological sophistication, moderates the design effect on consumer evaluation of innovation; providing boundary condition of when the atypical form is not penalized in spite of consumer’s perceived learning cost; examining how the form and function interplay in “high-status product”; and demonstrating how to strengthen the reliability and validity by replicating the study. Managerially, this paper demonstrates that innovating firms can influence the perceived value of new products using form and functionality, and marketing managers who launch really new products have strategic freedom of choosing own product design.

The built environment subject area is now well‐established as a recognised field of study. However, because of its vocational orientation it is usually defined in terms of a particular range of professional activities and aptitudes. In consequence the theoretical nature of its academic knowledge base is poorly developed. This has consequences for research and teaching practice within the field which are explored in this paper.

Using established literature on the historical approaches to knowledge categorisation a theoretical model is proposed.

The proposed model defines the built environment as an applied, but theoretically coherent, interdiscipline with a common epistemological axiomatic.

The paper proposes a new model of the built environment knowledge base for further discussion within the field. The practical benefits of the model are also illustrated by examples in the context of curriculum design, research strategy and the research‐teaching nexus.

The purpose of this paper is to present a case for effective knowledge transfer, management and protection between the West and the East, with an emphasis on cultural aspects.

The paper describes the background of KM programs in China for Western companies and the three‐step approach for its implementation.

The three‐step KM approach was effective in managing knowledge flows from the west to the east. Key lessons are that responsible KM, while doing business in China, is not about stopping knowledge flows but rather about assessing the knowledge, its channels and recipients; and that the cultural factor is key to successful KM in a global context.

Although the paper is based on projects in China, this three‐step approach for knowledge transfer, management and protection in China can be applied by any organization that needs to share effectively across borders.

The social implications could be a higher awareness of the cultural factor for KM in different global contexts, and a more people‐oriented approach to doing KM.

Much has been written about doing business in China and much has been written about knowledge management. The paper is unique as it combines these two vast domains by way of a very practical and proven project case. It is also original, as dealing with knowledge in China by Western companies has been dominated by legal measures, not KM approaches.

There is an increasing interest in the area of knowledge management (KM) within organisations and academia. Because of the emergent nature of the field there is a lack of classification of suitable knowledge management models to use in conducting further research, literature evaluation and organisational applications. This paper discusses the definitions and classifications of knowledge management, representing a wide spectrum of views from mechanistic to more socially orientated. An evaluative framework is established from which three knowledge management models can be critically discussed. Three KM model classifications are critiqued, namely knowledge category models, intellectual capital models and socially constructed models. Finally a modified KM model is tentatively suggested to act as a useful guide for further research and organisational application. This model takes a holistic approach to scientific and socially constructed knowledge, assuming the need for both emancipatory and business benefits from KM. The model represents KM as a highly recursive process, rather than sequential.

This study aims to the OQuaRE quality model to the developed methodology.

Ontologies are formal, well-defined and flexible representations of knowledge related to a specific domain. They provide the base to develop efficient and interoperable solutions. Hence, a proliferation of ontologies in many domains is unleashed. Then, it is necessary to define how to compare such ontologies to decide which one is the most suitable for the specific needs of users/developers. As the emerging development of ontologies, several studies have proposed criteria to evaluate them.

In a previous study, the authors propose a methodological process to qualitatively and quantitatively compare ontologies at Lexical, Structural and Domain Knowledge levels, considering correctness and quality perspectives. As the evaluation methods of the proposal are based on a golden-standard, it can be customized to compare ontologies in any domain.

To show the suitability of the proposal, the authors apply the methodological approach to conduct comparative studies of ontologies in two different domains, one in the robotic area, in particular for the simultaneous localization and mapping (SLAM) problem; and the other one, in the cultural heritage domain. With these cases of study, the authors demonstrate that with this methodological comparative process, we are able to identify the strengths and weaknesses of ontologies, as well as the gaps still needed to fill in the target domains.

Using these metrics and the quality model from OQuaRE, the authors are incorporating a standard of software engineering at the quality validation into the Semantic Web.

In this study, reasons for proving the relevancy of personalisation of e-learning systems to act as a knowledge management system in which tacit to tacit type of knowledge (socialisation) can be delivered, are being provided. Nonaka’s knowledge conversion model is being used as the basis of the investigation. The relationship between ‘the strategic knowledge conversion model’ drawn from the ‘identifying list of strategies’ and ‘an individual’s decision-making method’ has been investigated in relation to knowledge transferring systems and individual’s learning styles. The outcome of the qualitative as well as quantitative investigation defines a set of frameworks in which different types of e-learning systems utilizing different learning philosophies and learners learning preferences to support the learner’s learning curve.