Knowledge Management in the Virtual Enterprise: Web Based Systems for Electronic Manufacturing

Author(s):  
George Chryssolouris ◽  
Sotiris Makris ◽  
Dimitris Mourtzis ◽  
Nikolaos Papakostas
2020 ◽  
pp. 118-127
Author(s):  
Yong Geng Chen

This research paper provides a detailed evaluation of the business concepts in Electronic Commerce (E-Commerce). The concept of E-Commerce defines the exchange of goods and services with monetary value between consumers and companies. E-Commerce is a web-based catalogue whereby buyers can possibly place order and sellers possibly accept payments. E-Commerce incorporates two forms of business: Business-to-Business (B2B) and Business-to-Consumer (B2C), which provides a definition of the commerce transactions between enterprises, such as between the wholesalers and the manufacturers or the retailers. B2C E-Commerce provides enterprises with the model which allows businesses to deliver purchasers to the relevant merchants and achieve from the commission rewards given by the merchants. This paper evaluates two forms of business with relation to management of Virtual Enterprises (VE) in the field of E-Commerce. The paper will end with an analysis of VE before projecting future directions for health of B2B and B2C in business.


Author(s):  
Krissada Maleewong ◽  
Chutiporn Anutariya ◽  
Vilas Wuwongse

This paper presents an approach to enhance various intelligent services of a Web-based collaborative knowledge management system. The proposed approach applies the two widely-used argumentation technologies, namely IBIS and Toulmin’s argumentation schemes, to structurally capture the deliberation and collaboration occurred during the consensual knowledge creation process. It employs RDF and OWL as its underlying knowledge representation language with well-defined semantics and reasoning mechanisms. Users can easily create knowledge using a simple corresponding graphical notation with machine-processable semantics. Derivation of implicit knowledge, similar concept discovery, as well as semantic search, are also enabled. In addition, the proposed approach incorporates the term suggestion function for assisting users in the knowledge creation process by computing the relevance score for each relevant term, and presenting the most relevant terms to users for possible term reusing or equivalence concepts mapping. To ensure the knowledge consistency, a logical mechanism for validating conflicting arguments and contradicting concepts is also developed. Founded on the proposed approach, a Web-based system, namely ciSAM, is implemented and available for public usage.


Author(s):  
Patrick S.W. Fong ◽  
Ka-chi Wong

Knowledge is regarded as the most important asset for sustainable success in today’s knowledge-based economy, and it has become the main competitive tool for many businesses. Proper capture and reuse of knowledge reduces the risk of “reinventing the wheel.” Building surveyors play a major role in building maintenance. Owing to the unique nature of building maintenance, building surveyors need sufficient knowledge and experience to facilitate their decision-making process. Apart from gaining this knowledge and experience by direct participation, learning from others is a sound alternative. However, insufficiencies have been found in the current practice on this aspect, and thus the aim of this chapter is to study whether a proposed Web-based prototype knowledge management system would be a feasible solution for capturing and reusing knowledge and experience in building maintenance. A questionnaire survey was conducted in this research to study the opinions of professional building surveyors on the capture and reuse of knowledge and experience in building maintenance, as well as the requirements of a proposed Web-based prototype system.


Author(s):  
Hanne Mawhinney

Recent evidence of the adoption of technologically mediated systems of knowledge management as part of the trend to accountability in the Institutions of Higher Education around the world has been widely disseminated in World Bank and UNESCO reports, and the effects of assessment driven accountability on preparation programs extensively debated in scholarly communities. Less scholarly attention has been paid to the institutional effects of the technology enhanced performance assessment evidentiary demands on university programs undergoing review by national accrediting bodies. The lack of scholarly attention is addressed by presenting a case study examining the institutional dynamics of accreditation review experienced by faculty in one department that offered graduate programs leading to certification for education leaders. Drawing from institutional analysis (Scott, 2008a, 2008b) a conceptual framework is established in a discussion of conditions of enactment of the regulative, normative and cognitive facets of the institutional dynamics evident in the implementation ecology of accountability systems. The case study analysis outlines four phases of development of the essential elements of a web-based assessment system, and describes the questions raised by faculty about performance evidence, the assessment of that evidence, and the nature of measures of program outcome effectiveness. Classic theories of organizations fail to fully explain the concerns and questions that were raised by faculty. In contrast, Engeström’s (1999, 2001, 2008) theory of expansive learning grounded in Cultural Historical Activity Theory (CHAT) provides insights into faculty responses to questions raised by the criteria for program review established by the accrediting body. Artifacts of expansive learning evident in the development of a performance assessment system can be viewed as reflecting institutionalization of regulative, normative, and cognitive dimensions of the emergent evaluative state of leadership preparation around the world. Implications are suggested for understanding the development of information technology (IT) enhanced knowledge management systems (KMS).


2011 ◽  
pp. 1176-1190
Author(s):  
Jian Cai

Collaborative projects are relatively complex and, hence, are difficult to handle. Managing distributed knowledge among stakeholders in a systematic way is crucial to improving the collaboration productivity. This article provides a generic modeling approach that explicitly represents the perspectives of stakeholders and their evolution traversing a collaborative process. This approach provides a mechanism to analytically identify the interdependencies among stakeholders and to detect conflicts and reveal their intricate causes and effects. Collaboration is thus improved through efficient knowledge management. This article also introduces a Web-based information system that uses the perspective model and the social network analysis methodology to support knowledge management within collaboration.


2012 ◽  
Vol 4 (2) ◽  
pp. 52-64
Author(s):  
Olusegun Folorunso ◽  
Catherine Chen ◽  
Nazim U. Ahmed ◽  
Thomas Harris

The importance of citizen’s participation in government cannot be overemphasized. Governments in many developing countries have made efforts, in spite of their infrastructural and financial limitations, to uphold the virtues of participatory e-governance with limited success. A major cause of this elusive success is the design of e-government platforms, which doesn’t encourage usage by the stakeholders of e-government. Many governments in developing countries are settling for other means to communicate with citizens. In this work, a new architectural framework is proposed that uses knowledge management facilities to enhance web-based e-governance and encourage participation, thus allowing for the elicitation of knowledge from online discourse. The country examined in this article is Nigeria. However, it is likely that many other African and developing countries have similar experiences. This work will aid in the improvement of web-based e-government platforms for such countries.


2015 ◽  
Vol 6 (2) ◽  
pp. 18-30 ◽  
Author(s):  
Marijana Zekić-Sušac ◽  
Adela Has

Abstract Background: Previous research has shown success of data mining methods in marketing. However, their integration in a knowledge management system is still not investigated enough. Objectives: The purpose of this paper is to suggest an integration of two data mining techniques: neural networks and association rules in marketing modeling that could serve as an input to knowledge management and produce better marketing decisions. Methods/Approach: Association rules and artificial neural networks are combined in a data mining component to discover patterns and customers’ profiles in frequent item purchases. The results of data mining are used in a web-based knowledge management component to trigger ideas for new marketing strategies. The model is tested by an experimental research. Results: The results show that the suggested model could be efficiently used to recognize patterns in shopping behaviour and generate new marketing strategies. Conclusions: The scientific contribution lies in proposing an integrative data mining approach that could present support to knowledge management. The research could be useful to marketing and retail managers in improving the process of their decision making, as well as to researchers in the area of marketing modelling. Future studies should include more samples and other data mining techniques in order to test the model generalization ability.


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