Read and Download eBook Full
Author: Robert A. Stebbins
Publisher: SAGE
Published: 2001-05-14
Total Pages: 84
ISBN-13: 9780761923992
DOWNLOAD EBOOKRobert Stebbins addresses an area of social science that receives scant attention: exploration as a methodological process. The author emphasises its importance then leads the reader through the process in a highly readable way.
Author: Laura Frodermann
Publisher: Springer
Published: 2018-05-25
Total Pages: 178
ISBN-13: 3658219491
DOWNLOAD EBOOKThe concept of a circular economy gains more and more popularity for companies and politics. In theory the concept holds not only ecological and social but also several economic advantages for the applying companies. This book addresses the following research questions: How is the concept of the circular economy implemented? What impact has the implementation of circular economy on organizations? What are the challenges deriving from circular economy implementation? A qualitative study with companies from various industries in Europe and America has been conducted. Results show that the theoretical comprehensive benefits cannot yet been found in the economy. Finally the central findings are compared to findings in existing literature, contributions to it discussed and a critical view on circular economy provided.
Author: Colin Elman
Publisher: Cambridge University Press
Published: 2020-03-19
Total Pages: 569
ISBN-13: 1108486770
DOWNLOAD EBOOKA wide-ranging discussion of factors that impede the cumulation of knowledge in the social sciences, including problems of transparency, replication, and reliability. Rather than focusing on individual studies or methods, this book examines how collective institutions and practices have (often unintended) impacts on the production of knowledge.
Author: Victor Jupp
Publisher: Pine Forge Press
Published: 2006-04-18
Total Pages: 619
ISBN-13: 1446238563
DOWNLOAD EBOOKBringing together the work of over eighty leading academics and researchers worldwide to produce the definitive reference and research tool for the social sciences, The SAGE Dictionary of Social Research Methods contains more than 230 entries providing the widest coverage of the all the main terms in the research process. It encompasses philosophies of science, research paradigms and designs, specific aspects of data collection, practical issues to be addressed when carrying out research, and the role of research in terms of function and context. Each entry includes: - A concise definition of the concept - A description of distinctive features: historical and disciplinary backgrounds; key writers; applications - A critical and reflective evaluation of the concept under consideration - Cross references to associated concepts within the dictionary - A list of key readings Written in a lively style, The SAGE Dictionary of Social Research Methods is an essential study guide for students and first-time researchers. It is a primary source of reference for advanced study, a necessary supplement to established textbooks, and a state-of-the-art reference guide to the specialized language of research across the social sciences.
Author: W. Alex Edmonds
Publisher: SAGE Publications
Published: 2016-04-20
Total Pages: 311
ISBN-13: 1483317285
DOWNLOAD EBOOKThe Second Edition of An Applied Guide to Research Designs offers researchers in the social and behavioral sciences guidance for selecting the most appropriate research design to apply in their study. Using consistent terminology, the authors visually present a range of research designs used in quantitative, qualitative, and mixed methods to help readers conceptualize, construct, test, and problem solve in their investigation. The Second Edition features revamped and expanded coverage of research designs, new real-world examples and references, a new chapter on action research, and updated ancillaries.
Author: Stina Siedhoff
Publisher: Springer
Published: 2019-04-26
Total Pages: 215
ISBN-13: 3658263369
DOWNLOAD EBOOKIncreasingly transforming entire industries, the boundary spanning concept of disruptive innovation requires business models to change. This book adopts insights from the (activity) system theory and takes a design science approach for the development of an appropriate, comprehensive and structured business model artifact. Based on pattern analysis, the main contribution of this thesis is of design nature, transforming justificatory knowledge into a manageable instrument that supports the process of designing novel business models for disruption. Besides that, a theoretical contribution is made by bridging the knowledge gap of the interrelated disruptive innovation and business model concept.
Author: Ajay Agrawal
Publisher: University of Chicago Press
Published: 2024-03-05
Total Pages: 172
ISBN-13: 0226833127
DOWNLOAD EBOOKA timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
Author: MIT Critical Data
Publisher: Springer
Published: 2016-09-09
Total Pages: 435
ISBN-13: 3319437429
DOWNLOAD EBOOKThis book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence. The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizable to every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e.g., a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients.
Author: Zhineng Li
Publisher: Springer Science & Business Media
Published: 2012-10-16
Total Pages: 161
ISBN-13: 3642310982
DOWNLOAD EBOOKEntrepreneurial alertness plays an important role in the processes of opportunity exploration and exploitation. A central thesis of this dissertation is that opportunity creation requires a certain transformation of an individual entrepreneur’s mental schema. This study examines entrepreneurial alertness at the individual level. A comprehensive model of entrepreneurial alertness are created and tested via structural equation modeling on the basis of survey data from 1080 entrepreneurs in two coastal regions of P. R. China.
Author: John J. McArdle
Publisher: Routledge
Published: 2013-08-15
Total Pages: 496
ISBN-13: 1135044090
DOWNLOAD EBOOKThis book reviews the latest techniques in exploratory data mining (EDM) for the analysis of data in the social and behavioral sciences to help researchers assess the predictive value of different combinations of variables in large data sets. Methodological findings and conceptual models that explain reliable EDM techniques for predicting and understanding various risk mechanisms are integrated throughout. Numerous examples illustrate the use of these techniques in practice. Contributors provide insight through hands-on experiences with their own use of EDM techniques in various settings. Readers are also introduced to the most popular EDM software programs. A related website at http://mephisto.unige.ch/pub/edm-book-supplement/offers color versions of the book’s figures, a supplemental paper to chapter 3, and R commands for some chapters. The results of EDM analyses can be perilous – they are often taken as predictions with little regard for cross-validating the results. This carelessness can be catastrophic in terms of money lost or patients misdiagnosed. This book addresses these concerns and advocates for the development of checks and balances for EDM analyses. Both the promises and the perils of EDM are addressed. Editors McArdle and Ritschard taught the "Exploratory Data Mining" Advanced Training Institute of the American Psychological Association (APA). All contributors are top researchers from the US and Europe. Organized into two parts--methodology and applications, the techniques covered include decision, regression, and SEM tree models, growth mixture modeling, and time based categorical sequential analysis. Some of the applications of EDM (and the corresponding data) explored include: selection to college based on risky prior academic profiles the decline of cognitive abilities in older persons global perceptions of stress in adulthood predicting mortality from demographics and cognitive abilities risk factors during pregnancy and the impact on neonatal development Intended as a reference for researchers, methodologists, and advanced students in the social and behavioral sciences including psychology, sociology, business, econometrics, and medicine, interested in learning to apply the latest exploratory data mining techniques. Prerequisites include a basic class in statistics.
