Download Free Composite Reliability Book in PDF and EPUB Free Download. You can read online Composite Reliability and write the review.

This handbook provides a comprehensive overview of Partial Least Squares (PLS) methods with specific reference to their use in marketing and with a discussion of the directions of current research and perspectives. It covers the broad area of PLS methods, from regression to structural equation modeling applications, software and interpretation of results. The handbook serves both as an introduction for those without prior knowledge of PLS and as a comprehensive reference for researchers and practitioners interested in the most recent advances in PLS methodology.
We all like to know how reliable and how risky certain situations are, and our increasing reliance on technology has led to the need for more precise assessments than ever before. Such precision has resulted in efforts both to sharpen the notions of risk and reliability, and to quantify them. Quantification is required for normative decision-making, especially decisions pertaining to our safety and wellbeing. Increasingly in recent years Bayesian methods have become key to such quantifications. Reliability and Risk provides a comprehensive overview of the mathematical and statistical aspects of risk and reliability analysis, from a Bayesian perspective. This book sets out to change the way in which we think about reliability and survival analysis by casting them in the broader context of decision-making. This is achieved by: Providing a broad coverage of the diverse aspects of reliability, including: multivariate failure models, dynamic reliability, event history analysis, non-parametric Bayes, competing risks, co-operative and competing systems, and signature analysis. Covering the essentials of Bayesian statistics and exchangeability, enabling readers who are unfamiliar with Bayesian inference to benefit from the book. Introducing the notion of “composite reliability”, or the collective reliability of a population of items. Discussing the relationship between notions of reliability and survival analysis and econometrics and financial risk. Reliability and Risk can most profitably be used by practitioners and research workers in reliability and survivability as a source of information, reference, and open problems. It can also form the basis of a graduate level course in reliability and risk analysis for students in statistics, biostatistics, engineering (industrial, nuclear, systems), operations research, and other mathematically oriented scientists, wherein the instructor could supplement the material with examples and problems.
Advanced Topics in Information Resources Management features the most current research findings in all aspects of information resources management. From successfully implementing technology change to understanding the human factors in IT utilization, this important volume addresses many of the managerial and organizational applications to and implications of information technology in organizations. Volume three will prove to be instrumental in the improvement and development of the theory and practice of information resources management while educating organizations on how they can benefit from and improve their information resources and all the tools utilized to gather, process, disseminate, and manage this valuable resource. *Note: This book is part of a new series entitled "Advanced Topics in Information Resources Management". This book is Volume Three within this series (Vol. III, 2004).
Enhance the quality of survey results by recognizing and reducing measurement errors. Margins of Error: A Study of Reliability in Survey Measurement demonstrates how and hwy identifying the presence and extent of measurement errors in survey data is essential for improving the overall collection and analysis of the data. The author outlines the consequences of ignoring survey measurement errors and also discusses ways to detect and estimate the impact of these errors. This book also provides recommendations of improving the quality of survey data. Logically organized and clearly written, this book: Deconstructs the data gathering process into six main elements of the response process: question adequacy, comprehension, accessibility, retrieval, motivation, and communication Provides an exhaustive review of valuable reliability estimation techniques that can be applied to survey data Identifies the types of questions and interviewer practices that are essential to the collection of reliable data Addresses hypotheses regarding which survey questions, sources of information, and questionnaire formats produce the most reliable data In conjunction with research data gathered on nearly 500 survey measures and the application of an empirical approach grounded in classical measurement theory, this book discusses the sources of measurement error and provides the tools necessary for improving survey data collection methods. Margins of Error enables statisticians and researchers in the fields of public opinion and survey research to design studies that can detect, estimate, and reduce measurement errors that may have previously gone undetected. This book also serves as a supplemental textbook for both undergraduate and graduate survey methodology courses.
In strategic management and organizational theory, organizational effectiveness denotes the broadest domain of business performance. "What is the optimal structural configuration for organizational ambidexterity and to what extent is it contingent upon firm type?" To answer this research question, this study employs a two-step approach. In the first step, Sebastian Kortmann determines a structural configuration that generally supports organizational ambidexterity. Then, in a second step, he draws upon structural contingency theory and investigates to what extent this optimal structural configuration is dependent on firm type. ​
Offers twelve chapters of discussion surrounding various tools and methods utilized by scholars and academics. This title covers a range of approaches for strategists, managers, and researchers.
Technological cooperation is not only costly and time consuming, but also has a high attrition rate. Most literature on strategic cooperation focuses mainly on issues related to cooperation formation and the reasons why firms form these cooperative partnerships. However, a successfully formed cooperation is not always managed well enough to achieve a satisfactory performance. The knowledge of cooperative formation is necessary, but insufficient to achieve a satisfactory performance. The literature suggests that scholars know little about the underlying factors affecting cooperative performance. A comprehensive literature review was conducted to establish the possible effects of key factors on the performance of international technological cooperation, and the possible relations between key factors. A qualitative pilot study was implemented to verify the practical relevance of those 12 key factors, of which 6 factors have a relatively more significant effect on performance than the other 6 factors. By applying theoretical modeling techniques, the research framework was then constructed according to the postulated relations between 7 key factors (6 relatively more significant factors and the focal concept, performance). Strictly based on the definition of key factors, measurement items of each key factor were carefully reviewed and selected. Following the process of structural equation modeling, the structural equation model in this research was constructed. Unlike most previous cooperation studies, a structural equation model allows researchers to examine simultaneously all the relations amongst key factors. The data were collected from mangers who had experience in managing a technological cooperative project with foreign partners, and were then analyzed by LISREL, a longstanding and widely distributed structural equation modeling computer program. The result suggests that symmetric opinions, commitment, dependence, relationships, partner analyses, and rewards have effects on the performance of international technological cooperation, which confirms the results of the thorough and comprehensive literature review and of the qualitative pilot study. In addition, in the structural equation model of this research, relationships and rewards have effects on commitment, and partner analyses and rewards have effects on dependence, which are also consistent with the literature review. The findings have contributed to theory advancement in cooperation studies, and to the knowledge of international business. Managerial implications from the findings also provide advices, which managers can proactively take, to avoid the odds of success.
This easy-to-understand guide makes SEM accessible to all users. This second edition contains new material on sample-size estimation for path analysis and structural equation modeling. In a single user-friendly volume, students and researchers will find all the information they need in order to master SAS basics before moving on to factor analysis, path analysis, and other advanced statistical procedures.