1,721,200 research outputs found

    A class of Frattini-like subgroups of a finite group

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    AbstractLet G be a finite group and π a set of primes. We consider the families of subgroups of G:F1 = {M: M ⋖ G, |G : M|π = 1}F2 = {M: M ⋖ G, |G : M|π = 1, |G : M| is composite}. Denote Φπ(G) = ∩ {M: M ϵ F1} if F1 is nonempty, otherwise Φπ(G) = G and Sπ (G) = ∩ {M: M ϵ F2} if F2 is nonempty, otherwise Sπ(G) = G. The purpose of this paper is to investigate these subgroups further

    Determinants Affecting Consumer Adoption of Contactless Credit Card: An Empirical Study 

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    [[abstract]]The contactless credit card is one of the most promising technological innovations in the field of electronic payments. It provides consumers with greater control of payments, convenience, and transaction speed. However, contactless credit cards have yet to gain significant rates of adoption in the marketplace. Thus, effort must be made to identify factors affecting consumer adoption of contactless credit cards. Based on the technology acceptance model, innovation diffusion theory, and the relevant literature, seven variables (perceived usefulness, perceived ease of use, compatibility, perceived risk, trust, consumer involvement, availability of infrastructure) are proposed to help predict consumer adoption of contactless credit cards. Data collected from 312 respondents in Taiwan is tested against the proposed prediction model using the logistic regression approach. The results and implications of our study contribute to an expanded understanding of the factors that affect consumer adoption of contactless credit cards.[[note]]SSC

    Measuring ERP success: the ultimate users' view 

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    [[abstract]]Purpose - Enterprise resource planning (ERP) is now considered to be the price of entry for running a business. However, ERP systems are complex and expensive, and the decision to install an ERP system necessitates a choice of mechanisms for determining whether ERP is needed and, once implemented, whether it is successful. User satisfaction is one evaluation mechanism for determining system success. This study develops a reliable and valid instrument for measuring ERP ultimate-user satisfaction. Design/methodology/approach - Initial ERP system characteristics and the implementation context were investigated. Some previously validated instruments were selected for examination using rigorous interview techniques. A modified version was developed and pre-tested. The instrument was then used to administer a test to 264 Taiwanese users that interact directly with an ERP system. Findings - The results suggest a ten-item instrument to measure three components of ultimate-user satisfaction in an ERP environment: ERP project team and service, ERP product, and user knowledge and involvement. Originality/value - This study has conducted a rigorous scale development procedure to establish a reliable and valid instrument for measuring ERP ultimate-user satisfaction.[[note]]SSC

    Examining the dimensionality and measurement of user-perceived knowledge and information quality in the KMS context 

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    [[abstract]]While several knowledge management systems' (KMS) success measures have been developed in previous studies, most of them focus on the measurement of knowledge use and performance of KMS. Little research has been conducted to develop specific instruments for measuring KMS success from the perspective of KMS knowledge production. Thus, the objective of this study was to develop an instrument for measuring user-perceived knowledge and information quality (KIQ) of KMS from the side of knowledge production. In this study, the characteristics of KMS were firstly analysed, and previous instruments for measuring information quality and KMS success then reviewed. Finally, an instrument for measuring the construct of KIQ in the KMS context was developed and validated in terms of its psychometric properties. The proposed instrument will be of value to researchers and practitioners interested in designing, implementing, researching, and managing KMS.[[note]]SC

    Measuring ERP success: The key-users' viewpoint of the ERP to produce a viable IS in the organization 

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    [[abstract]]Enterprise resource planning (ERP) systems are becoming mature technologies to support inter- and intra-company business processes even in small and medium enterprises. However, ERP systems are complex and expensive, and the decision to install an ERP system necessitates a choice of mechanisms for determining whether the ERP is needed, and once implemented, whether it is successful. User satisfaction is one evaluation mechanism for determining system success. This study looked at key-user satisfaction as a means of determining system success. Initial analyses of ERP system characteristics important for the environment were explored, and some previously validated user satisfaction instruments were selected for examination, using rigorous and systematic interview techniques and iterative development methods. A questionnaire was developed and then tested to prove its reliability and validity. Finally, a relationship was shown to exist between key-user satisfaction and perceived system success. (c) 2005 Elsevier Ltd. All rights reserved.[[note]]SSC

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Understanding the determinants of RFID adoption in the manufacturing industry 

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    [[abstract]]Radio frequency identification (RFID) is one of the most promising technological innovations, with the potential to increase supply chain visibility and improve process efficiency. It allows remote identification of an object using a radio link. However, it has yet to see high rates of adoption in the manufacturing industry. Thus, effort is required to identify determinants affecting RFID adoption in the manufacturing industry. Based on the technology-organization-environment (TOE) framework of Tornatzky and Fleischer (L.G. Tornatzky, M. Fleischer, The processes of technological innovation, Lexington Books, 1990), nine variables (relative advantage, compatibility, complexity, top management support, firm size, technology competence, information intensity, competitive pressure, and trading partner pressure) are proposed to help predict RFID adoption. Data collected from 133 manufacturers in Taiwan is tested against the proposed research model using logistic regression. The results and implications included in our study contribute to an expanded understanding of the determinants that affect RFID adoption in the manufacturing industry. (C) 2010 Elsevier Inc. All rights reserved.[[note]]SSC

    Analyzing academic achievement of junior high school students by an improved rough set model

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    [[abstract]]Rough set theory (RST) is an emerging technique used to deal with problems in data mining and knowledge acquisition. However, the RST approach has not been widely explored in the field of academic achievement. This investigation developed an improved RST (IMRST) model, which employs linear discriminant analysis to determine a reduct of RST, and analyzed the academic achievements of junior high school students in Taiwan. An interactive interface was created so that students could answer questions to predict their academic achievement and they could learn essential skills for improving their academic achievement. Empirical results showed that the IMRST model selects crucial information from data without predetermining factors and can provide accurate rates for inference rules. Hence, the developed IMRST model is a promising alternative for analyzing academic achievement data. (C) 2009 Elsevier Ltd. All rights reserved.[[note]]SC
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