物件導向軟體之架構(Object-Oriented Software Construction)探討

Analytic hierarchy process : An overview of applications

In this paper, a new method, called best-worst method (BWM) is proposed to solve multi-criteria decision-making (MCDM) problems. In an MCDM problem, a number of alternatives are evaluated with respect to a number of criteria in order to select the best alternative(s). According to BWM, the best (e.g. most desirable, most important) and the worst (e.g. least desirable, least important) criteria are identified first by the decision-maker. Pairwise comparisons are then conducted between each of these two criteria (best and worst) and the other criteria. A maximin problem is then formulated and solved to determine the weights of different criteria. The weights of the alternatives with respect to different criteria are obtained using the same process. The final scores of the alternatives are derived by aggregating the weights from different sets of criteria and alternatives, based on which the best alternative is selected. A consistency ratio is proposed for the BWM to check the reliability of the comparisons. To illustrate the proposed method and evaluate its performance, we used some numerical examples and a real-word decision-making problem (mobile phone selection). For the purpose of comparison, we chose AHP (analytic hierarchy process), which is also a pairwise comparison-based method. Statistical results show that BWM performs significantly better than AHP with respect to the consistency ratio, and the other evaluation criteria: minimum violation, total deviation, and conformity. The salient features of the proposed method, compared to the existing MCDM methods, are: (1) it requires less comparison data; (2) it leads to more consistent comparisons, which means that it produces more reliable results.

Best-worst multi-criteria decision-making method

Hawaii International Conference on System Sciences

The success of a virtual learning environment (VLE) depends to a considerable extent on student acceptance and use of such an e-learning system. After critically assessing models of technology adoption, including the Technology Acceptance Model (TAM), TAM2, and the Unified Theory of Acceptance and Usage of Technology (UTAUT), we build a conceptual model to explain the differences between individual students in the level of acceptance and use of a VLE. This model extends TAM2 and includes subjective norm, personal innovativeness in the domain of information technology, and computer anxiety. Data were collected from 45 Chinese participants in an Executive MBA program. After performing satisfactory reliability and validity checks, the structural model was tested with the use of PLS. Results indicate that perceived usefulness has a direct effect on VLE use. Perceived ease of use and subjective norm have only indirect effects via perceived usefulness. Both personal innovativeness and computer anxiety have direct effects on perceived ease of use only. Implications are that program managers in education should not only concern themselves with basic system design but also explicitly address individual differences between VLE users.

The acceptance and use of a virtual learning environment in China

The article reviews requirements and tool availability for knowledge management in virtual communities and other knowledge sharing environments, where professionals wish to quickly and easily share knowledge and information. The article compares the characteristics of several newer technologies, notably weblogs (blogs) and wikis, to the more conventional discussion forums. Wikis, the currently least popular technology emerged as the one best facilitating knowledge management needs. The article concludes that although discussion forums are the most popular, different community types are best supported by different technologies. Some opportunities for research in this area are identified, especially for the database community.

Supporting knowledge management in organizations with conversational technologies: Discussion forums, weblogs, and wikis

Decision support and knowledge management processes are interdependent activities in many organizations. In this paper, we propose an approach for integrating decision support and knowledge management processes using knowledge discovery techniques. Based on the proposed approach, an integrative framework is presented for building enterprise decision support environments using model marts and model warehouses as repositories for knowledge obtained through various conversions. This framework is expected to guide further research on the development of the next generation decision support environments.

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Integrating knowledge management into enterprise environments for the next generation decision support

Social networks on the Internet are becoming extremely popular and have begun to change the way we live and work. Many enterprises are assessing the potential of exploiting the commercial opportunities of this technology. Although social networking commercial activities may be the next big productivity booster for firms, some consider such activities to be time wasters and security traps. Therefore, it is useful to develop a framework to consolidate the issues in adopting this technology. This article reviews the opportunities provided by enterprise social networking and proposes using the fit-viability model to evaluate concerns related to the successful implementation of enterprise social networking. We also examine the major potential risks and the mechanisms for their management.

/pdf/enterprise-social-networking-opportunities-adoption-and-risk-48h2zxkmcb.pdf

Enterprise Social Networking: Opportunities, Adoption, and Risk Mitigation

Purpose – Aims to provide an understanding on IS/IT professionals' intentions to share and reuse knowledge in the context of information technology service operations.Design/methodology/approach – The theory of planned behavior (TPB) is applied for examining IS/IT professionals' intention to share and reuse knowledge. The data were collected from working IS/IT professionals using an online survey, and partial least squares was used for analyzing the data.Findings – The results from this study indicate that the theory of planned behavior is an adequate model for investigating behavioral intentions of knowledge sharing and reuse in the context of information technology service operations. All direct determinants of intention to share knowledge, except subjective norm regarding information technology service operations knowledge sharing, and intention to reuse knowledge were significant.Research limitations/implications – This paper is one of the first to attempt to study both knowledge sharing and knowledge...

Narasimha Bolloju

Papers

Supporting knowledge management in organizations with conversational technologies: Discussion forums, weblogs, and wikis

Integrating knowledge management into enterprise environments for the next generation decision support

Enterprise Social Networking: Opportunities, Adoption, and Risk Mitigation

Explaining the intentions to share and reuse knowledge in the context of IT service operations

Aggregation of analytic hierarchy process models based on similarities in decision makers’ preferences