The authors examine the implications of electronic shopping for consumers, retailers, and manufacturers. They assume that near-term technological developments will offer consumers unparalleled opportunities to locate and compare product offerings. They examine these advantages as a function of typical consumer goals and the types of products and services being sought and offer conclusions regarding consumer incentives and disincentives to purchase through interactive home shopping vis-à-vis traditional retail formats. The authors discuss implications for industry structure as they pertain to competition among retailers, competition among manufacturers, and retailer-manufacturer relationships.

Interactive home shopping: Consumer, retailer, and manufacturer incentives to participate in

Supplier selection, the process of finding the right suppliers who are able to provide the buyer with the right quality products and/or services at the right price, at the right time and in the right quantities, is one of the most critical activities for establishing an effective supply chain. On the other hand, it is a hard problem since supplier selection is typically a multi criteria group decision-making problem involving several conflicting criteria on which decision maker's knowledge is usually vague and imprecise. In this study, TOPSIS method combined with intuitionistic fuzzy set is proposed to select appropriate supplier in group decision making environment. Intuitionistic fuzzy weighted averaging (IFWA) operator is utilized to aggregate individual opinions of decision makers for rating the importance of criteria and alternatives. Finally, a numerical example for supplier selection is given to illustrate application of intuitionistic fuzzy TOPSIS method.

A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method

Redesigning Social Inquiry Fuzzy Sets And Beyond

Technical foundations introduction software reliability and system reliability the operational profile software reliability modelling survey model evaluation and recalibration techniques practices and experiences best current practice of SRE software reliability measurement experience measurement-based analysis of software reliability software fault and failure classification techniques trend analysis in validation and maintenance software reliability and field data analysis software reliability process assessment emerging techniques software reliability prediction metrics software reliability and testing fault-tolerant SRE software reliability using fault trees software reliability process simulation neural networks and software reliability. Appendices: software reliability tools software failure data set repository.

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Handbook of software reliability engineering

The notion of fuzziness as defined in this paper relates to situations in which the source of imprecision is not a random variable or a stochastic process, but rather a class or classes which do not possess sharply defined boundaries, e.g., the “class of bald men,” or the “class of numbers which are much greater than 10,” or the “class of adaptive systems,” etc. A basic concept which makes it possible to treat fuzziness in a quantitative manner is that of a fuzzy set, that is, a class in which there may be grades of membership intermediate between full membership and non-membership. Thus, a fuzzy set is characterized by a membership function which assigns to each object its grade of membership (a number lying between 0 and 1) in the fuzzy set. After a review of some of the relevant properties of fuzzy sets, the notions of a fuzzy system and a fuzzy class of systems are introduced and briefly analyzed. The paper closes with a section dealing with optimization under fuzzy constraints in which an approach to...

Fuzzy sets and systems

https://isiarticles.com/bundles/Article/pre/pdf/2503.pdf

Understanding customer satisfaction and loyalty: An empirical study of mobile instant messages in China

Information technology resource, knowledge management capability, and competitive advantage

The success rate for information technology (IT) projects continues to be low. With an increasing number of IT projects in developing countries such as China, it is important to understand the risks they are experiencing on IT projects. To date, there has been little research documenting Asian perceptions of IT project risk. In this research, we examine the risks identified by Chinese senior executives (SEs) and project managers (PMs), and compare these two groups. The importance of top management support in IT projects is well documented. Prior research has shown that from the perspective of IT PMs, lack of support from SEs is the number one risk in IT projects. Surprisingly, senior executives' perceptions towards IT project risk have never been systematically examined. One reason why lack of support from senior executives continues to represent a major risk may be that senior executives themselves do not realize the critical role that they can play in helping to deliver successful projects. In this study, we use the Delphi method to compare the risk perceptions of senior executives and project managers. By comparing risk factors selected by each group, zones of concordance and discordance are identified. In terms of perceived importance ascribed to risk factors, PMs tend to focus on lower-level risks with particular emphasis on risks associated with requirements and user involvement, whereas SEs tend to focus on higher-level risks such as those risks involving politics, organization structure, process, and culture. Finally, approaches for dealing with risk factors that are seen as important by both SEs and PMs are provided.

Comparing senior executive and project manager perceptions of IT project risk: a Chinese Delphi study

Variable precision rough set for group decision-making: An application

In practice, in purchasing decision-making, many quantitative and qualitative factors, with vagueness and imprecision, have to be considered. This makes the decision process very complicated and unstructured. Besides the fuzzy sets theory, vague sets theory is one of the methods used to deal with uncertain information. Since vague sets can provide more information than fuzzy sets, it is considered superior in mathematical analysis of uncertain information. In this paper, a new approach based on vague sets group decision is proposed to deal with the supplier selection problem in supply chain systems. The work procedure is shown briefly, as follows: First, linguistic values are used to assess the ratings and weights for quantitative or qualitative factors. Second, degree of similarity and probability of vague sets are used to determine the ranking order of all alternatives. Finally, a numerical example of the selection problem of suppliers is shown, to highlight the procedure of the proposed approach, at the end of this paper.

Jinlong Zhang

Papers

Understanding customer satisfaction and loyalty: An empirical study of mobile instant messages in China

Information technology resource, knowledge management capability, and competitive advantage

Comparing senior executive and project manager perceptions of IT project risk: a Chinese Delphi study

Variable precision rough set for group decision-making: An application

An novel approach to supplier selection based on vague sets group decision