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Article
Publication date: 1 February 2016

Chongchong Zhao, Chao Dong and Xiaoming Zhang

The integration and retrieval of the vast data have attracted sufficient attention, thus the W3C workgroup releases R2RML to standardize the transformation from relational…

Abstract

Purpose

The integration and retrieval of the vast data have attracted sufficient attention, thus the W3C workgroup releases R2RML to standardize the transformation from relational data to semantic-aware data. However, it only provides a data transform mechanism to resource description framework (RDF). The generation of mapping alignments still needs manual work or other algorithms. Therefore, the purpose of this paper is to propose a domain-oriented automatic mapping method and an application of the R2RML standard.

Design/methodology/approach

In this paper, materials science is focussed to show an example of domain-oriented mapping. source field concept and M3B2 (Metal Materials Mapping Background Base) knowledge bases are established to support the auto-recommending algorithm. As for the generation of RDF files, the idea is to generate the triples and the links, respectively. The links of the triples follow the object-subject relationship, and the links of the object properties can be achieved by the range individuals and the trail path.

Findings

Consequently based on the previous work, the authors proposed Engine for Metal Materials Mapping Background Base (EM3B2), a semantic integration engine for materials science. EM3B2 not only offers friendly graphical interfaces, but also provides auto-recommending mapping based on materials knowledge to enable users to avoid vast manually work. The experimental result indicates that EM3B2 supplies accurate mapping. Moreover, the running time of E3MB2 is also competitive as classical methods.

Originality/value

This paper proposed EM3B2 semantic integration engine, which contributes to the relational database-to-RDF mapping by the application of W3C R2RML standard and the domain-oriented mapping.

Details

Program, vol. 50 no. 1
Type: Research Article
ISSN: 0033-0337

Keywords

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Article
Publication date: 28 December 2020

Ranjan Chaudhuri, Gitesh Chavan, Suniti Vadalkar, Demetris Vrontis and Vijay Pereira

The purpose of this paper is to accomplish a bibliometric analysis, investigate the underlying knowledge structure, founding and development, and evolution of the Journal

Abstract

Purpose

The purpose of this paper is to accomplish a bibliometric analysis, investigate the underlying knowledge structure, founding and development, and evolution of the Journal of Knowledge Management (JKM) through its articles published between 1997 and 2020.

Design/methodology/approach

A total of 1,346 research papers from JKM were selected and VantagePoint® software was used to generate bubble maps, auto-correlation maps, and matrix maps through techniques such as principal component analysis (PCA) and natural language processing (NLP). The analysis gives insights about the foundation of knowledge structure, its evolution and the development of JKM.

Findings

The systematic mapping of research illustrates topics emerging as new offshoots, global favourites, saturated and plateaued and reached academic maturity. The USA, the UK, Australia, Spain, Italy, China, Canada, Germany, and France have contributed the most to JKM. This paper provides a robust roadmap for future research investigation of JKM.

Research limitations/implications

The authors humbly admit the possibility of overlooking some research papers while evaluating and filtering the database of JKM. The research outcome summarizes 23 years, subject to information retrieval from archival files.

Practical implications

This research is a detailed bibliometric analysis explaining paradigm shifts in the body of knowledge of JKM. The bibliometric outcomes can act as beacons for future researchers and academicians to revisit the current trends that shape the domain of knowledge management, particularly for the JKM audience with a focus on contemporary topics of research interest.

Originality/value

This is a unique endeavour to accomplish a systematic bibliometric analysis of the JKM for two decades, offering insights about its structural body of knowledge through an overview of the chronology of scholarly development in the field of knowledge management.

Details

Journal of Knowledge Management, vol. 25 no. 6
Type: Research Article
ISSN: 1367-3270

Keywords

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Article
Publication date: 30 June 2021

Suniti Vadalkar, Gitesh Chavan, Ranjan Chaudhuri and Demetris Vrontis

Amidst the plethora of mass communication methods that technology bestowed business with, print advertisements still remain an effective and widely utilized advertising…

Abstract

Purpose

Amidst the plethora of mass communication methods that technology bestowed business with, print advertisements still remain an effective and widely utilized advertising tool, and retain a diachronically venerable position in international marketing practice. Bar and transcending mere academic fascination or curiosity, this research provides insights into the past, an understanding of the present and an outlook into the future. In this vein, through a methodical and comprehensive critical review of extant literature on print advertisements since 1965, this research aims to identify gaps in extant knowledge, to map its trends and divergences, to trace its paradigm shifts and to ultimately develop agendas for truly significant future research.

Design/methodology/approach

This spatial-temporal study reviews 256 methodically selected articles, using VantagePoint software, and adopts a novel methodology through natural language processing (NLP), text mining, auto-correlation maps, and bubble maps to conduct and present a robust analysis and explicit findings.

Findings

Using also the VOSviewer for density and network visualization, the results identify the predominant literature themes and, conversely, the relatively under-researched areas, and provide a more insightful collective interpretation of extant works, while laying the foundation for future research of greater value and significance to academia and industry.

Originality/value

This study transcends the partial and/or limited analyses and perspectives of extant literature to present scholars with the first comprehensive and long term meta-analysis or systematic study of print advertising, with explicit findings of both scholarly and executive worth.

Details

International Marketing Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0265-1335

Keywords

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Article
Publication date: 9 October 2019

Naga Vamsi Krishna Jasti, Srinivas Kota and Kuldip Singh Sangwan

Lean manufacturing (LM) plays a major role in eliminating wastes (activities/resources) in a manufacturing organization. Value stream mapping (VSM) is one of the critical…

Abstract

Purpose

Lean manufacturing (LM) plays a major role in eliminating wastes (activities/resources) in a manufacturing organization. Value stream mapping (VSM) is one of the critical tools in LM which will help in identifying wastes in materials and information flow in a specific product family. The purpose of this paper is to illustrate the significance of VSM in the auto-ancillary industry in enhancing the productivity and the quality.

Design/methodology/approach

A case study approach is followed to demonstrate the significance of VSM in identifying various wastes in the auto-ancillary industry. The study has been performed by implementing seven critical steps. A product family is identified based on the customer demand and a cross functional team with specialized experts was formed. The overall processes with sequence are mapped using process flowchart. A cross functional team has been formed to develop the current state of VSM and perform a critical analysis to identify shortcomings. An investigation was performed to overcome the existing shortcomings by identifying opportunities. The relevant kaizens to improve the current state have been proposed. The cross functional team of experts have performed a feasibility study on implementation of proposed kaizens. Finally, a future state of VSM after implementation of feasible kaizens has been reported.

Findings

The results show that future state of VSM brings out the positive impact with respect to process ratio, TAKT time, process inventory level, total lead time and bottleneck time. The proposed improvement also helped to achieve higher customer satisfaction in terms of increased quality, reduced cost and on time delivery.

Research limitations/implications

Present study is focussed on a single product family cell in one of the auto-component organization.

Originality/value

Helps practitioners in the auto-component industry to implement the VSM effectively in their organization.

Details

The TQM Journal, vol. 32 no. 1
Type: Research Article
ISSN: 1754-2731

Keywords

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Article
Publication date: 1 September 1999

Jan Fülscher and Stephen G. Powell

Many tools are in use for representing and analyzing business processes, but little information is available on how these tools are used in practice by process design…

Abstract

Many tools are in use for representing and analyzing business processes, but little information is available on how these tools are used in practice by process design teams. This paper analyzes one process mapping workshop in detail. Over three days, two facilitators and five representatives of the organization and business functions redesigned the core auto insurance business at a mid‐size Swiss insurance company. The mapping tool used during the session was IDEF0. The purpose of this paper is to share our experiences in using IDEF0 in the workshop setting. In addition to a narrative description of the workshop, we offer our observations on how such workshops can be conducted effectively and on the strengths and weaknesses of IDEF0 in this context. The final business process map did not emerge from a logical, linear development process. Rather, the workshop was characterized by constant refinement and development of an existing structure, punctuated by an occasional radical idea that forced the group to throw out the current process and start over. The hierarchical approach of IDEF0 proved critical in keeping the group focused on its task of abstracting the essence of the process itself from the details of current practice. The mapping tool proved to be less convenient for representing a sequence of events in time, multiple cases, and conditional flows of work.

Details

Business Process Management Journal, vol. 5 no. 3
Type: Research Article
ISSN: 1463-7154

Keywords

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Article
Publication date: 17 May 2013

Harwinder Singh and Amandeep Singh

This paper aims to address the application of lean manufacturing using value stream mapping (VSM) concepts in an auto‐parts manufacturing organization. Using value stream…

Abstract

Purpose

This paper aims to address the application of lean manufacturing using value stream mapping (VSM) concepts in an auto‐parts manufacturing organization. Using value stream concepts, both current and future states maps of the organization's shop floor scenarios have been discussed to identify sources of waste between the existing state and the proposed state of the selected organization for improving its competitiveness.

Design/methodology/approach

VSM process symbols were used to discuss lean implementation stages in the auto‐parts manufacturing unit. Current states of the selected manufacturing unit were prepared with the help of VSM symbols and improvement areas were identified. A few modifications in current state were made and, with these modifications, a future state map is suggested.

Findings

After comparison of the current and future states of the selected manufacturing unit, it has been found that there was 69.41 percent reduction in cycle time, 18.26 percent reduction in work in‐process inventory and 24.56 percent reduction in production lead times for the replacement ball product. While for Weldon ball end product 51.87 percent reduction in cycle time, 21.51 percent reduction in work in‐process inventory, 25.88 percent reduction in lead time was noted.

Research limitations/implications

The findings of this case study are valid due to limited selection of products only.

Originality/value

This paper depicts a true picture of the implementation of lean manufacturing tools in an organization.

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Article
Publication date: 23 November 2012

Bailing Zhang, Yungang Zhang and Wenjin Lu

The task of internet intrusion detection is to detect anomalous network connections caused by intrusive activities. There have been many intrusion detection schemes…

Abstract

Purpose

The task of internet intrusion detection is to detect anomalous network connections caused by intrusive activities. There have been many intrusion detection schemes proposed, most of which apply both normal and intrusion data to construct classifiers. However, normal data and intrusion data are often seriously imbalanced because intrusive connection data are usually difficult to collect. Internet intrusion detection can be considered as a novelty detection problem, which is the identification of new or unknown data, to which a learning system has not been exposed during training. This paper aims to address this issue.

Design/methodology/approach

In this paper, a novelty detection‐based intrusion detection system is proposed by combining the self‐organizing map (SOM) and the kernel auto‐associator (KAA) model proposed earlier by the first author. The KAA model is a generalization of auto‐associative networks by training to recall the inputs through kernel subspace. For anomaly detection, the SOM organizes the prototypes of samples while the KAA provides data description for the normal connection patterns. The hybrid SOM/KAA model can also be applied to classify different types of attacks.

Findings

Using the KDD CUP, 1999 dataset, the performance of the proposed scheme in separating normal connection patterns from intrusive connection patterns was compared with some state‐of‐art novelty detection methods, showing marked improvements in terms of the high intrusion detection accuracy and low false positives. Simulations on the classification of attack categories also demonstrate favorable results of the accuracy, which are comparable to the entries from the KDD CUP, 1999 data mining competition.

Originality/value

The hybrid model of SOM and the KAA model can achieve significant results for intrusion detection.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 5 no. 4
Type: Research Article
ISSN: 1756-378X

Keywords

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Article
Publication date: 1 May 1999

Sunny Baker and Kim Baker

You can collect huge masses of data about your customers, but if you don't sort it, it won't do you any good. Mapping software may be just what you need.

Abstract

You can collect huge masses of data about your customers, but if you don't sort it, it won't do you any good. Mapping software may be just what you need.

Details

Journal of Business Strategy, vol. 20 no. 5
Type: Research Article
ISSN: 0275-6668

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Article
Publication date: 31 May 2013

Wirat Jareevongpiboon and Paul Janecek

The purpose of this paper is to propose a solution to the problem of a lack of machine processable semantics in business process management.

Abstract

Purpose

The purpose of this paper is to propose a solution to the problem of a lack of machine processable semantics in business process management.

Design/methodology/approach

The paper introduces a methodology that combines domain and company‐specific ontologies and databases to obtain multiple levels of abstraction for process mining and analysis. The authors valuated this approach with a real case study from the apparel domain, using a prototype system and techniques developed in the Process Mining Framework (ProM). The results of this approach are compared with similar research.

Findings

Semantically enriching process execution data can successfully raise analysis from the syntactic to the semantic level, and enable multiple perspectives of analysis on business processes. Combining this approach with complementary research in semantic business process management (SBPM) can provide results comparable to multidimensional analysis in data warehouse and on line analytical processing (OLAP) technologies.

Originality/value

The approach and prototype described in this paper improve the richness of semantics available for open‐source process mining and analysis tools like ProM, and the richness and detail of the resulting analysis.

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Article
Publication date: 9 October 2019

Jagmeet Singh and Harwinder Singh

This paper aims to apply lean manufacturing using value stream mapping (VSM) in the manufacturing organization (automotive suspension and fastening components section). To…

Abstract

Purpose

This paper aims to apply lean manufacturing using value stream mapping (VSM) in the manufacturing organization (automotive suspension and fastening components section). To validate the VSM approach, simulation has been done.

Design/methodology/approach

VSM approach has been used to implement lean stages in the U-bolt section. Current state map was prepared and future state map has been implemented. Further, simulation has been done to compare current state and future state maps.

Findings

It has been found that there is 87.59% reduction in cycle time (C/T), 76.47% reduction in work-in-process (WIP) inventory, 95.41% reduction in production lead time, 66.08% increase in value added (VA) ratio, 95.78% reduction in non-value added (NVA) time, 57.14% reduction in the number of operators and 70.67% reduction in change over (C/O) time for the U-bolt section. Simulated and VSM of current and future state has observed error of 5 s.

Research limitations/implications

This study is based on automotive manufacturing industry situated in northern part of India. The outcome of this study is applicable only to the selected product of the manufacturing company.

Originality/value

This paper deals with case study part which reflects the true picture of implementation of Lean manufacturing (LM) tools in the organization.

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