Search

The process of COTS system selection is difficult due to the large number of existing COTS components on the marketplace. Moreover, a high level of complexity characterizes the process of knowledge acquisition about the available COTS systems. In this paper an approach for COTS selection is proposed. The application of ontology (the ontology for methodologies supporting COTS component selection and the ontology for COTS ERP components) enables the knowledge systematization about the available solutions and provides a set of results with reference to decision-maker preferences. The application of a selected methodology (as a result of using an ontology) supporting the COTS selection and evaluation process provides a ranking of alternatives. Based on this, a decision-maker can consider a reasonable choice. [ABSTRACT FROM AUTHOR]

The paper presents a practical example of customization of Commercial Off-The- Shelf (COTS) components office software for a given decision problem. The COTS office software evaluation and customization process is difficult due to the large number of existing products and different functionalities. The literature analysis identifies a number of methodologies that support COTS evaluation and customization processes. An adaptation of COTS methodology for Multi-Criteria Decision Analysis (MCDA) provides a ranking of alternatives including decision-maker preferences. Based on this, a decision-maker can make a reasonable choice and select the most suitable office software. [ABSTRACT FROM AUTHOR]

The general aim of this paper is to present an experiment of building a taxonomy of selected information tools supporting COTS components selection and evaluation. The characteristics of available solutions was described in details. These characteristics provided a basis for a taxonomy construction as well. The proposal of a taxonomy model is a fundamental phase of an ontology construction of information tools supporting COTS components selection and evaluation in management information systems domain as a next step. The conclusions finish this article. [ABSTRACT FROM AUTHOR]

The article presents the analysis of available semantic search engines and their functionalities. Hence the major problematic areas of knowledge acquisition from web resources were described in details. The general statements of Semantic Web 3.0 was presented. Next, in this area, the four semantic search engines were selected: Swoogle, Yahoo SearchMonkey, iGoorg and WolframAlpha. On base of presented analysis of semantic search engines the set of criteria and sub-criteria was identified for each of a given solution. Thus it was a base for a taxonomic relationships creation between presented search engines. Moreover it determines the real areas of effective exploitation of each of presented solutions. [ABSTRACT FROM AUTHOR]

The general aim of this paper is an experiment of building a taxonomy model of available methods and tools for quality ontology evaluation. The analysis of selected solutions was provided as well. On base of the characteristics of presented methods the taxonomy was built. It was a basis for the author's ontology structure of methods and tools for quality ontology evaluation supporting COTS components selection and evaluation in management information systems domain. The conclusions finish this article. [ABSTRACT FROM AUTHOR]

The supplier selection problem is one of the most important competitive challenges used by modern enterprises. Due to the fact that companies have to improve their practices in the management of a green supply chain that aims to respect green practices and technologies to increase sustainability, selecting the optimal green supplier is a challenging multi-dimensional problem. While most of the research has focused on the development and improvement of new methods, relatively limited attention has been paid to the identifying sets of criteria and capturing the domain knowledge. This issue is significant because a correctly identified set of criteria plays a vital role in supporting the decision-making process. The approach presented creates a gap between classical assumption of decision making and knowledge-based problem structuring. The current paper presents a methodological and practical background for capturing and handling knowledge about green supplier selection criteria, supported by a formal guideline for their appropriate acquisition. In addressing this research challenge, the aims of this paper are twofold: providing meta-analysis to reveal a collection of key data supported by a formal and trustworthy bibliometric analysis, and capturing knowledge in one place in the form of ontology for enabling selection and evaluation criteria of green suppliers is proposed. The proposed ontology is available for public use. [ABSTRACT FROM AUTHOR]