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Article
Publication date: 15 October 2020

Zitong He, Xiaolin Ma, Jie Luo, Anoop Kumar Sahu, Atul kumar Sahu and Nitin Kumar Sahu

Advanced manufacturing machines (AMMs) are searched as a momentous asset across the manufacturing societies for quenching and addressing the production units under…

Abstract

Purpose

Advanced manufacturing machines (AMMs) are searched as a momentous asset across the manufacturing societies for quenching and addressing the production units under economical circumstances, i.e. production of high-quality of goods under feasible cost. AMMs are significant in holding the managers against their rivals and competitors with high profit margins. The authors developed the decision support mechanism/portfolio (DSM-P) consist of knowledge-based cluster approach with a dynamic model. The purpose of research work is to measure overall economic worth of AMMs under objective and grey-imperfect (mixed) data by exploring the proposed DSM-P.

Design/methodology/approach

The authors developed the DSM-P that consist of knowledge-based cluster, three multi-criteria decision-making (MCDM) techniques-1-2-3 with complementary grey relational analysis-4(GRA), approach with a dynamic model (complied by technical plus cost and agility measures of AMMs). The proposed DSM-P enables the manager to map the overall economic worth of candidate AMMs under objective and grey-mixed data.

Findings

The presented DSM-P assist the managers for handling the selection problem of AMMs, i.e. CNCs, robots, automatic-guided vehicle, etc under mixed (objective cum grey) data. To enable the readers for intensely understand the work, the utility of proposed approach is displayed by illustrating a polar robot evaluation and selection problem. It is ascertained that the robot candidate-11 alternative is fulfilling the entire technical cum cost and agility measures.

Originality/value

The DSM-P provides more precise and reliable outcomes due to a usage of the dominance theory. Under the dominance theory, the ranks are obtained by MCDM techniques-1-2-3 are compared with ranks gathered by the GRA-4 under objective cum grey data, formed the novelties in presented research work. From a future perspective, the grey-based models in DSM-P can be built/extended/constructed more extensive and can be simulated by the same approach.

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Article
Publication date: 11 September 2009

Tan Yigitcanlar

The purpose of this article is to investigate the engineering of creative urban regions through knowledge‐based urban development. In recent years city administrators

Abstract

Purpose

The purpose of this article is to investigate the engineering of creative urban regions through knowledge‐based urban development. In recent years city administrators realised the importance of engineering and orchestrating knowledge city formation through visioning and planning for economic, socio‐cultural and physical development. For that purpose a new development paradigm of “knowledge‐based urban development” is formed, and quickly finds implementation ground in many parts of the globe.

Design/methodology/approach

The paper reviews the literature and examines global best practice experiences in order to determine how cities are engineering their creative urban regions so as to establish a base for knowledge city formation.

Findings

The paper sheds light on the different development approaches for creative urban regions, and concludes with recommendations for urban administrations planning for knowledge‐based development of creative urban regions.

Originality/value

The paper provides invaluable insights and discussion on the vital role of planning for knowledge‐based urban development of creative urban regions.

Details

Journal of Knowledge Management, vol. 13 no. 5
Type: Research Article
ISSN: 1367-3270

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Article
Publication date: 8 February 2016

Roozbeh Hesamamiri, Mohammad Mahdavi Mazdeh and Atieh Bourouni

The purpose of this paper is to develop a novel hybrid multi-criteria decision-making (MCDM) model to help organizations select their knowledge-based strategy effectively…

Abstract

Purpose

The purpose of this paper is to develop a novel hybrid multi-criteria decision-making (MCDM) model to help organizations select their knowledge-based strategy effectively. Knowledge management (KM) initiatives are often started with the selection of a strategy, which is a critical decision for a successful KM implementation.

Design/methodology/approach

KM initiatives are often started with the selection of a strategy, which is a critical decision for a successful KM implementation. Thus, the aim of this paper is to develop a novel hybrid MCDM model to help organizations select their knowledge-based strategy effectively.

Findings

Results illustrate that the proposed model is efficient to consider the complex interactions among criteria and provides a consistent decision with less pair-wise comparisons. Furthermore, a case study indicates that a “codification versus tacitness” strategy is preferred over other strategies considering nine main domain criteria.

Originality/value

The contribution of this paper is threefold: it addresses the gaps in KM literature on the effective and efficient assessment of KM strategy selection; it provides a comprehensive and systematic framework that combines analytic network process (ANP) and consistent fuzzy preference relations (CFPR) to assess KM implementation strategy; and it illustrates a real-world study to exhibit the applicability of the proposed approach and the efficacy of the framework.

Details

VINE Journal of Information and Knowledge Management Systems, vol. 46 no. 1
Type: Research Article
ISSN: 2059-5891

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Article
Publication date: 31 July 2009

Elena Revilla, Beatriz Rodríguez‐Prado and Isabel Prieto

The purpose of this paper is to focus on one of the most recognized knowledge management enablers, information technology (IT), and explores how IT influences on knowledge

Abstract

Purpose

The purpose of this paper is to focus on one of the most recognized knowledge management enablers, information technology (IT), and explores how IT influences on knowledge base capabilities in product development – specifically knowledge exploitation and exploration.

Design/methodology/approach

The proposed hypotheses are empirically tested through the analysis of 80 product developments, and valid and reliable measures for each variable are developed. The research methodology uses a two‐step approach.

Findings

The study shows that product development processes can be categorized within three IT configurations: balanced IT configuration, convergent‐based IT configuration and divergent‐based IT configuration. These results show that differences in IT configurations in product development may lead to differences in terms of knowledge exploitation and show the advantages of the balanced IT configuration that combines both dimensions of IT.

Research limitations/implications

The sample size is not large and the scope of this study is limited to firms located in the Madrid area, Spain. The measurement effort represents an advance for research but, nonetheless, they measure facts that are neither fully nor easily measurable. All data were collected from the same respondent, using the same perceptual measurement technique.

Practical implications

This paper suggests that product development managers would be advised to consider knowledge based goals when selecting their IT tools. It also highlights that product development efforts should not involve an excluding trade‐off between the convergent and the divergent dimensions of IT (whereby one is at the expense of the other), but a balance of both dimensions.

Originality/value

The paper differs from previous research in a number of important ways. First, it focuses on benefits to product development. Second, it measures the impact of IT on knowledge base capabilities. Third, it focuses on the configuration of IT and an evaluation of how different configurations impact on different types of knowledge based capabilities.

Details

European Journal of Innovation Management, vol. 12 no. 3
Type: Research Article
ISSN: 1460-1060

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Article
Publication date: 19 October 2015

Torger Reve and Amir Sasson

This paper aims to assess the dissemination of cluster ideas advanced in the “Competitive Advantage of Nations” and three subsequent national studies and the reasons for…

Abstract

Purpose

This paper aims to assess the dissemination of cluster ideas advanced in the “Competitive Advantage of Nations” and three subsequent national studies and the reasons for their substantial public policy impact in Norway.

Design/methodology/approach

The paper presents the theoretical and methodological novelties of each of the national studies, the inclusive study-organizing principle used and public policy impact.

Findings

The papers finds that the dissemination of cluster thinking and the development of a successful cluster-based industrial policy in Norway is largely a function of the nature and extent of the cluster research efforts that took place in Norway. The national cluster research projects mobilized all the key industrial and governmental actors in a very effective way, making studies with both rigor and relevance. Due to advanced and demanding policy makers, the studies also evolved in terms of the theoretical models and methodologies used.

Originality/value

The paper contributes by illuminating the direct and indirect impact of the “Competitive Advantage of Nations” on both academic endeavors and public policies in Norway and by explicating how studies that make it possible for academics and practitioners to work in tandem substantially affect public policy.

Details

Competitiveness Review, vol. 25 no. 5
Type: Research Article
ISSN: 1059-5422

Keywords

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Article
Publication date: 12 October 2015

Franco M. Battagello, Michele Grimaldi and Livio Cricelli

This study is intended to work out a bottleneck in the comprehension of the relational nexus which links the set of key strategic resources (SRs) of a company, represented…

Abstract

Purpose

This study is intended to work out a bottleneck in the comprehension of the relational nexus which links the set of key strategic resources (SRs) of a company, represented by the uncertain recognition and the ambiguous clustering of their intangible components. The purpose of this paper is to provide a candidate solution for a rational appraisal of the inventory of the knowledge-based resources held by a company, which synergically form its Intellectual Capital (IC).

Design/methodology/approach

This goal is achieved by the means of a qualitative/quantitative approach composed of sequential phases, intended to: atomize the value domain of the firm into its basic building blocks; gauge their mutual interactions and impacts; re-aggregate those involved entities accordingly; cluster them into a collection of identified and validated Intangible Assets (IAs). Never giving any direct judgment on the IAs themselves (whose extension can be fuzzy or unknown). But on the impacts between the value drivers they are built on.

Findings

The proposed procedure, step-by-step illustrated by means of a numerical simulation, out of the amorphous mass of the SRs, returns an analytic picture of its composing elements keeping track of their intertwined connections and mutual influence. Consequently, allowing the comprehension of the actual framing and of the relational positioning and magnitude of such entities.

Practical implications

This risk-mitigated rational identification of IAs allows the analyst to target a proper evaluation technique on them. And the management of the company to mindfully allocate/leverage on them to improve business performance and strategy alignment. The implementation returns some analytic tools which render a diagnostic snapshot of the composing elements of the IC, increasing the awareness of such entities and allowing internal/external benchmarking.

Originality/value

The suggested methodology mitigates the risk of discretionality in the definition of the perimeter of each target-entity, by avoiding any direct biased judgment on them. So that each asset gets unambiguously identified within a network-logic and the interlinked portfolio of knowledge-based resources can be assessed and managed in an rational and traceable way.

Details

Journal of Intellectual Capital, vol. 16 no. 4
Type: Research Article
ISSN: 1469-1930

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Article
Publication date: 15 March 2018

Fatemeh Alyari and Nima Jafari Navimipour

This paper aims to identify, evaluate and integrate the findings of all relevant and high-quality individual studies addressing one or more research questions about…

Abstract

Purpose

This paper aims to identify, evaluate and integrate the findings of all relevant and high-quality individual studies addressing one or more research questions about recommender systems and performing a comprehensive study of empirical research on recommender systems that have been divided into five main categories. To achieve this aim, the authors use systematic literature review (SLR) as a powerful method to collect and critically analyze the research papers. Also, the authors discuss the selected recommender systems and its main techniques, as well as their benefits and drawbacks in general.

Design/methodology/approach

In this paper, the SLR method is utilized with the aim of identifying, evaluating and integrating the findings of all relevant and high-quality individual studies addressing one or more research questions about recommender systems and performing a comprehensive study of empirical research on recommender systems that have been divided into five main categories. Also, the authors discussed recommender system and its techniques in general without a specific domain.

Findings

The major developments in categories of recommender systems are reviewed, and new challenges are outlined. Furthermore, insights on the identification of open issues and guidelines for future research are provided. Also, this paper presents the systematical analysis of the recommender system literature from 2005. The authors identified 536 papers, which were reduced to 51 primary studies through the paper selection process.

Originality/value

This survey will directly support academics and practical professionals in their understanding of developments in recommender systems and its techniques.

Details

Kybernetes, vol. 47 no. 5
Type: Research Article
ISSN: 0368-492X

Keywords

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Article
Publication date: 11 May 2015

Stavros Sindakis, Audrey Depeige and Eleni Anoyrkati

This study aims to explore the role of knowledge management practices in supporting current and emerging passengers’ and customer needs, aiming to create value…

Abstract

Purpose

This study aims to explore the role of knowledge management practices in supporting current and emerging passengers’ and customer needs, aiming to create value. Specifically, the research examines the importance of customer-centred knowledge management in the delivery of innovative services and practices in the public transport sector, promoting the role of interactions between mobility stakeholders and travellers.

Design/methodology/approach

A theoretical framework is developed and supported by the background literature on customer-centric knowledge management approaches, business model innovation, as well as on inter-organisational and network co-operations.

Findings

Results show that the development of sustainable innovation and technologies in the transport sector requires knowledge management practices, which enable the access to knowledge about users’ needs, the mapping and evaluation of innovative knowledge, the promotion of knowledge-based innovation through collective approaches, as well as the acquisition and integration of new knowledge.

Research limitations/implications

The conceptual framework developed in the paper remains limited to a theoretical understanding. Further research should empirically examine knowledge issues related to the intangible character and intellectual capital intensiveness of innovation in the transport sector.

Practical implications

Researchers, public transport companies and public transport authorities are expected to benefit from this research, by developing mechanisms for customer-centred knowledge management, which is found to lead to innovative services and practices in the public transport sector. Another practical implication regards the adoption of knowledge management practices, leading to technological innovations in public transport, and advancing the level of sustainability in transport systems.

Originality/value

The originality of this study lies in the development of a customer-focussed knowledge management framework, which provides a novel perspective of value creation in an attempt to engage researchers and practitioners from the transport industry in the conceptualisation and development of innovative solutions.

Details

Journal of Knowledge Management, vol. 19 no. 3
Type: Research Article
ISSN: 1367-3270

Keywords

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Article
Publication date: 14 September 2015

Luciana Castro

Cooperative relationships between actors located in the same geographical area that are economically independent and culturally distinct are the heart of functioning…

Abstract

Purpose

Cooperative relationships between actors located in the same geographical area that are economically independent and culturally distinct are the heart of functioning innovation clusters. This can slow down the creation of common innovation projects, particularly in French innovation clusters where cooperation is influenced by the governmental financing devoted to this system. This research focuses on knowledge brokering activities implemented in this inter-organizational context, showing how they cross knowledge boundaries, structure cooperative dynamics and participate in common strategy-making. The mobilization of the strategy as practice theory allows for an in-depth analysis, shedding light on various practices, resources and practitioners related to the brokering activities taking place within an innovation cluster in Paris. Findings show a widespread development of brokering activities that emerges from cluster governance unit to its networks according to a reflexive relationship progressive structured over time.

Design/methodology/approach

This research is based on a longitudinal exploratory analysis of the Parisian cluster Advancity. To capture its organizational dynamics, two databases of the cluster (focused on innovation projects and integration of members), 24 power point files presented to negotiate strategy and 13 interviews with managers and members of the cluster were used. The whole data was triangulated and generated categories of data that can be compared with the concepts of the literature on innovation clusters (governance), brokering activities (knowledge access, learning, networking and implementation) and strategy-making (recursive process and adaptation of the strategy).

Findings

The analysis shows the effects of each type of brokering activities on strategy-making across knowledge and organizational boundaries. The practices of implementation activity initially absent from the cluster become, in its mature phase, one of the central activities. Moreover, all the brokering activities are initially handled by the managers of the cluster and progressively are extended to their members, then becoming a widespread activity within the internal networks. The maturation of these practices goes together with the maturation of its own cluster. The practice of experimentation particularly affects brokering activities and produces learning and networking effects within the cluster.

Practical implications

From a managerial point of view, considering the organization of the clusters as a constellation of communities of practice (Wenger, 1998) emphasizes that the knowledge brokerage activities can be extended and delayed within each community that makes up the organization. A top-down approach could therefore suffocate the network. It would be interesting to develop this research approach in future work and complete this research by reinforcing microscopic analysis enabled, for example, by tracking a small number of innovation projects during their lifecycle.

Social implications

The empirical foundation proposed in this research strengthens the scientific nature of the theory of the activity that is itself integrated in the perspective of the practice (Seidl et al., 2006). The multilevel approach and wealth of the mobilized and analysed empirical data allowed making more visible how a social activity builds itself, develops and creates aperture effects on the strategy driven by innovation at the intersection of different boundaries.

Originality/value

The results of this research provide a theoretical contribution in that they allow to revisit the classification of the activities of a knowledge broker (Hargadon 1998, 2005) in a new organizational context representative of the knowledge-based innovation (Amin and Cohendet, 2004). They are also contributing to the current emerging from the knowledge-based view of clusters (Bahlmann and Huysman, 2008; Arikan, 2009) by mobilizing the theory of the practice (Whittington, 2006; Jarzabkowski, 2005). This perspective helps to discern a particular form of strategy-making within the clusters.

Details

Journal of Knowledge Management, vol. 19 no. 5
Type: Research Article
ISSN: 1367-3270

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Article
Publication date: 1 January 2018

Ying Han and Guohong Chen

The purpose of this paper is to clarify the influence of knowledge sharing on innovation performance from the knowledge-based dynamic capabilities perspective within…

Abstract

Purpose

The purpose of this paper is to clarify the influence of knowledge sharing on innovation performance from the knowledge-based dynamic capabilities perspective within industrial clusters.

Design/methodology/approach

This paper designed a five-point Likert questionnaire measuring knowledge sharing, dynamic capabilities, trust and innovation performance, and a sample was collected from the industrial clusters within Fujian province in China. Empirical analysis was applied to test the hypotheses.

Findings

Significant relationships were found between knowledge sharing and innovation performance. Three key characteristics of dynamic capabilities were distinguished, namely, knowledge acquisition capability, knowledge integration capability and knowledge creative capabilities. On this basis, further analysis found that dynamic capabilities played a mediating role in this relationship, and trust was a significant moderator.

Practical implications

This paper helps to understand the mechanism between knowledge sharing, knowledge-based dynamic capabilities, trust and innovation. Managers should focus on contributing to knowledge sharing activities, dynamic capabilities and trustful environment to improve innovation effectively.

Originality/value

This paper contributes to the burgeoning literature on the relationship between knowledge sharing and innovation performance in China. Further, it highlights the crucial role of cluster knowledge management in contributing to innovation and management practices.

Details

Journal of Chinese Economic and Foreign Trade Studies, vol. 11 no. 1
Type: Research Article
ISSN: 1754-4408

Keywords

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