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1. |
Record Nr. |
UNISA990003485380203316 |
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Titolo |
Physica status solidi RRL : rapid research letters |
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Materiale a stampa |
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Livello bibliografico |
Periodico |
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2. |
Record Nr. |
UNINA9910796069603321 |
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Autore |
Lefebvre R. Craig <1959-> |
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Titolo |
Social marketing and social change : strategies and tools for health, well-being, and the environment / / R. Craig Lefebvre |
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Pubbl/distr/stampa |
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San Francisco, Calif., : Jossey-Bass, c2013 |
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San Francisco, CA : , : Jossey-Bass, , 2013 |
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ISBN |
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1-118-23524-X |
1-118-22150-8 |
1-283-97788-5 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (xxiii, 564 pages) : illustrations (some color) |
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Collana |
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Classificazione |
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675.2 |
498 |
W 74.1 |
362.1068/8 |
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Disciplina |
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Soggetti |
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Social marketing |
Medical care - Marketing |
Health promotion |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Includes bibliographical references (p. [505]-540) and index |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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chapter 1. The history and domains of social marketing -- chapter 2. Principles of social marketing -- chapter 3. Determinants, context, and consequences for individual and social change -- chapter 4. Segmentation and competition -- chapter 5. Moving from descriptions of people to understanding, empathy, and insight -- chapter 6. The consumer experience as the marketer's touchpoint -- chapter 7. Strategic positioning and brands -- chapter 8. Embedding marketing in programs and organizations : developing strategy -- chapter 9. Using marketing mix components for program development -- chapter 10. Monitoring and evaluation -- chapter 11. Personal and community engagement in change -- chapter 12. Social technologies for social marketing and social change -- chapter 13. Social marketing for dissemination and program sustainability -- chapter 14. Management and innovation. |
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Sommario/riassunto |
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"Focusing on the use of marketing principles and techniques to develop population-based health promotion and disease prevention programs, this book features a practical emphasis for incorporating a marketing orientation and marketing techniques to address the diverse range of issues and problems that are encountered in the practice of public health. Its comprehensive view of social marketing includes its research base, its applications to a diverse set of social problems, and the focus on the public health field. The book promotes social marketers as scientists-practitioners who must understand the theory and research of social marketing as it is applied to designing effective social change programs"--Provided by publisher. |
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3. |
Record Nr. |
UNIORUON00123658 |
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Titolo |
Bei Qi shu : Zhou shu |
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Taibei, : Shangwu Yinshuguan, [19..] |
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Descrizione fisica |
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Livello bibliografico |
Monografia |
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4. |
Record Nr. |
UNINA9910483845903321 |
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Autore |
Sarmas Elissaios |
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Titolo |
Multicriteria Portfolio Construction with Python / / by Elissaios Sarmas, Panos Xidonas, Haris Doukas |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (IX, 176 p. 138 illus., 47 illus. in color.) |
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Collana |
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Springer Optimization and Its Applications, , 1931-6836 ; ; 163 |
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Disciplina |
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Soggetti |
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Operations research |
Social sciences - Mathematics |
Mathematical models |
Operations Research and Decision Theory |
Mathematics in Business, Economics and Finance |
Mathematical Modeling and Industrial Mathematics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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1. Introduction -- 2. The Portfolio Management Problem -- 3. Multicriteria Decision Analysis Methods -- 3. Literature Review -- 5. |
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The Proposed Methodology -- 6. Information System in Python.-7. Empirical Testing -- 8. Conclusions -- Bibliography. |
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Sommario/riassunto |
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This book covers topics in portfolio management and multicriteria decision analysis (MCDA), presenting a transparent and unified methodology for the portfolio construction process. The most important feature of the book includes the proposed methodological framework that integrates two individual subsystems, the portfolio selection subsystem and the portfolio optimization subsystem. An additional highlight of the book includes the detailed, step-by-step implementation of the proposed multicriteria algorithms in Python. The implementation is presented in detail; each step is elaborately described, from the input of the data to the extraction of the results. Algorithms are organized into small cells of code, accompanied by targeted remarks and comments, in order to help the reader to fully understand their mechanics. Readers are provided with a link to access the source code through GitHub. This Work may also be considered as a reference which presents the state-of-art research on portfolio construction with multiple and complex investment objectives and constraints. The book consists of eight chapters. A brief introduction is provided in Chapter 1. The fundamental issues of modern portfolio theory are discussed in Chapter 2. In Chapter 3, the various multicriteria decision aid methods, either discrete or continuous, are concisely described. In Chapter 4, a comprehensive review of the published literature in the field of multicriteria portfolio management is considered. In Chapter 5, an integrated and original multicriteria portfolio construction methodology is developed. Chapter 6 presents the web-based information system, in which the suggested methodological framework has been implemented. In Chapter 7, the experimental application of the proposed methodology is discussed and in Chapter 8, the authors provide overall conclusions. The readership of the book aims to be a diverse group, including fund managers, risk managers, investmentadvisors, bankers, private investors, analytics scientists, operations researchers scientists, and computer engineers, to name just several. Portions of the book may be used as instructional for either advanced undergraduate or post-graduate courses in investment analysis, portfolio engineering, decision science, computer science, or financial engineering. |
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