Attributes In Information System Research Articles

A novel method to attribute reduction based on weighted neighborhood probabilistic rough sets

Attribute reduction is an important application of rough set theory. Most existing rough set models do not consider the weight information of attributes in information systems. In this paper, we first study the weight of each attribute in information systems by using data binning method and information entropy theory. Then, we propose a new rough set model of weighted neighborhood probabilistic rough sets (WNPRSs) and investigate its basic properties. Meanwhile, the dependency degree formula of an attribute relative to an attribute subset is defined based on WNPRSs. Subsequently, we design a novel attribute reduction method by using WNPRSs and the corresponding algorithm is also given. Finally, to evaluate the performance of the proposed algorithm, we conduct a data experiment and compare it with other existing attribute reduction algorithms on eight public datasets. Experimental result demonstrates that the proposed attribute reduction algorithm is effective and performs better than some of the existing algorithms.

Roughness of Sets Involving Dependency of Attributes in Information Systems

Roughness of Sets Involving Dependency of Attributes in Information Systems

Applying Dependency of Attributes for Business Data Mining in Information Systems: A Theoretical Framework

This paper presents the applications of dependency of attributes in information systems for data mining from business datasets. Firstly, we present the theoretical framework for data clustering on small business dataset. It is based on a construction of a hierarchical rough set approximation in an information system for data splitting. The hierarchy is defined by the notion of a nested sequence of indiscernibility relations that can be defined from the dependency of attributes. Secondly, an application of such hierarchy for mining maximal association from a business transactional data is presented. It is shown that the dependency provides clear and provable theoretical approach for data clustering and maximal association rules mining.

Percieved Importance and Perfomance of Information Systems in Azam Company- Dar Es Salaam

It is increasingly more interesting to the Companies to understand the relationship existing between perceived importance and performance of information systems within their companies. The purpose of this paper is to explore the perception of the importance of attributes of information systems and whether the performance of information systems met the users’ expectations in Azam company in Dar es salaam. Anonymous and self-administered questionnaires were distributed to 217 respondents. A total of 185 usable responses were received, resulting in a response rate of 85.3% which was considered satisfactory for subsequent analysis. Using an end-user satisfaction survey, It was discovered that the end-users were moderately satisfied with the company’s IS performance and that there were gaps between importance and performance on all the systems-related attributes studied. The largest gap pertained to the attributes Understanding Systems and Documentation. The contribution of the study is in advancing Importance-Performance Analysis applicable to IS research. Keywords: Information Systems Performance, Information Systems Importance, End-user Satisfaction

Editorial

Editorial

Scope and Timing of Deployment

Here we present a qualitative study of how organizations do (or do not) adopt a new computer server platform standard; namely, Linux using PC-compatible hardware. While discussions of Linux typically focus on its open source origins, our respondents were interested primarily in low price. Despite this relative advantage in price, incumbent standards enjoyed other advantages identified by prior theory; namely, network effects and switching costs. We show when, how, and why such incumbent advantages are overcome by a new standard. We find that Linux adoption within organizations began for uses with a comparatively limited scope of deployment, thus minimizing network effect and switching costs disadvantages. We identify four attributes of information systems that potentially limit the scope of deployment: few links of the system to organizational processes, special-purpose computer systems, new uses, and replacement of obsolete systems. We also identify an organizational level variable—internal standardization—which increases scope of deployment and, thus, the attractiveness of the incumbent standard.

Applying modifiers to knowledge acquisition

The paper presents an approach to apply modifiers to knowledge acquisition. Modifiers are defined in this paper by means of binary relations (and their converse relations) corresponding to L -fuzzy sets, and modifiers are used to acquire topologies corresponding to L -fuzzy sets. These topologies are used to detect dependencies of attributes in information systems with respect to gradual rules as in [J. Kortelainen, Control Cybernet. 28 (1999) 121–131]. In the case of many gradual rules a combined topological degree of dependence is defined. Finally, a more general version of the example presented in J. Kortelainen (loc.cit.) is studied.

Organizational Characteristics and Information Systems Planning: An Empirical Study

Information Systems (IS) planning has gained considerable interest among researchers and practitioners in recent years because of the large investments that firms have made in IS and the increasingly strategic nature of the impact of information systems on organizational performance. Since IS planning is performed in an organizational context, characteristics of the organization may have a significant influence on the quality and effectiveness of the IS planning process. A research model is developed that links two major dimensions of IS planning—the quality of the planning process and planning effectiveness—with a set of eight organizational factors derived from contingency research in IS planning, strategic business planning, organizational studies, and technology innovation. The model is validated using data collected from a field survey of 249 senior IS executives. Canonical correlation analysis is used to test the research hypotheses and validate the model. The results of the study indicate that the two planning dimensions respectively reflecting the “means” and “ends” of IS planning are equally important. The results also indicate that planning resources, the intended strategic impact of IS on future business operations, the quality of facilitation mechanisms, the quality of implementation mechanisms, and the quality of strategic business planning are significantly associated with the quality and effectiveness of IS planning. The implications of the results to further research and to managerial practice are highlighted.