According to W. Edwards Deming, American companies require nothing less than a transformation of management style and of governmental relations with industry. In Out of the Crisis, originally published in 1982, Deming offers a theory of management based on his famous 14 Points for Management. Management's failure to plan for the future, he claims, brings about loss of market, which brings about loss of jobs. Management must be judged not only by the quarterly dividend, but by innovative plans to stay in business, protect investment, ensure future dividends, and provide more jobs through improved product and service. In simple, direct language, he explains the principles of management transformation and how to apply them.

Out of the Crisis

How has Japan become a major economic power, a world leader in the automotive and electronics industries? What is the secret of their success? The consensus has been that, though the Japanese are not particularly innovative, they are exceptionally skilful at imitation, at improving products that already exist. But now two leading Japanese business experts, Ikujiro Nonaka and Hiro Takeuchi, turn this conventional wisdom on its head: Japanese firms are successful, they contend, precisely because they are innovative, because they create new knowledge and use it to produce successful products and technologies. Examining case studies drawn from such firms as Honda, Canon, Matsushita, NEC, 3M, GE, and the U.S. Marines, this book reveals how Japanese companies translate tacit to explicit knowledge and use it to produce new processes, products, and services.

The knowledge-creating company : how Japanese companies create the dynamics of innovation

行銷硏究 : Marketing research

Part I: AN INTRODUCTION TO INQUIRY. 1. Human Inquiry and Science. 2. Paradigms, Theory, and Research. 3. The Ethics and Politics of Social Research. Part II: THE STRUCTURING OF INQUIRY: QUANTITATIVE AND QUALITATIVE. 4. Research Design. 5. Conceptualization, Operationalization, and Measurement. 6. Indexes, Scales, and Typologies. 7. The Logic of Sampling. Part III: MODES OF OBSERVATION: QUANTITATIVE AND QUALITATIVE. 8. Experiments. 9. Survey Research. 10. Qualitative Field Research. 11. Unobtrusive Research. 12. Evaluation Research. Part IV: ANALYSIS OF DATA:QUANTITATIVE AND QUALITATIVE . 13. Qualitative Data Analysis. 14. Quantitative Data Analysis. 15. Reading and Writing Social Research. Appendix A. Using the Library. Appendix B. Random Numbers. Appendix C. Distribution of Chi Square. Appendix D. Normal Curve Areas. Appendix E. Estimated Sampling Error.

社会研究方法基础 = The Basics of Social Research

With digital equipment becoming increasingly networked, either on wired or wireless networks, for personal and professional use alike, distributed software systems have become a crucial element in information and communications technologies. The study of these systems forms the core of the ARLES' work, which is specifically concerned with defining new system software architectures, based on the use of emerging networking technologies. In this context, we concentrate on the study of distributed systems which bring to life the vision of ubiquitous computing systems, also known as ambient intelligence.

반도체 공정 overview

Healthcare, a vital industry that touches most of us in our lives, faces major challenges in demographics, technology, and finance. Longer life expectancy and an aging population, technological advancements that keep people younger and healthier, and financial issues are a constant strain on healthcare organizations' resources and management. Focusing on the organization's ability to improve access, quality, and value of care to the patient may present possible solutions to these challenges.""The Encyclopedia of Healthcare Information Systems"" provides an extensive and rich compilation of international research, discussing the use, adoption, design, and diffusion of information communication technologies (ICTs) in healthcare, including the role of ICTs in the future of healthcare delivery; access, quality, and value of healthcare; nature and evaluation of medical technologies; ethics and social implications; and medical information management.

Encyclopedia of Healthcare Information Systems

Feature engineering remains a major bottleneck when creating predictive systems from electronic medical records. At present, an important missing element is detecting predictive regular clinical motifs from irregular episodic records. We present Deepr (short for Deep record), a new end-to-end deep learning system that learns to extract features from medical records and predicts future risk automatically. Deepr transforms a record into a sequence of discrete elements separated by coded time gaps and hospital transfers. On top of the sequence is a convolutional neural net that detects and combines predictive local clinical motifs to stratify the risk. Deepr permits transparent inspection and visualization of its inner working. We validate Deepr on hospital data to predict unplanned readmission after discharge. Deepr achieves superior accuracy compared to traditional techniques, detects meaningful clinical motifs, and uncovers the underlying structure of the disease and intervention space.

$\mathtt {Deepr}$: A Convolutional Net for Medical Records.

Deepr: A Convolutional Net for Medical Records

Whilst healthcare is the biggest service industry on the globe, it has yet to realise the full potential of the e-business revolution in the form of e-health. This is due to many reasons including the fact that the healthcare industry is faced with many complex challenges in trying to deliver cost-effective, high-value, accessible healthcare and has traditionally been slow to embrace new business techniques and technologies. Given that e-health, to a great extent, is a macro level concern that has far reaching micro level implications, this paper firstly develops a framework to assess a country's preparedness with respect to embracing e-health (the application of e-commerce to healthcare) and from this an e-health preparedness grid to facilitate the assessment of any e-health initiative. Taken together, the integrative framework and preparedness grid provide useful and necessary tools to enable successful e-health initiatives to ensue by helping country and/or an organisation within a country to identify and thus address areas that require further attention in order for it to undertake a successful e-health initiative.

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A framework for assessing e-health preparedness

These essays on Post-Keynesian economics were written expressly for a volume to honour the life and work of Alfred Eichner. The original countributions - that critically examine and extend ideas in Eichner's "The Macrodynamics of Advanced Market Economies" are organized in seven sections that correspond to areas of economics in which Eichner made a significant contribution. Part 1 deals with the megacorp, a theory of firm pricing and investment that was one of Eichner's most important contributions. Issues of productivity and technical change, that lie at the center of Eichner's macrodynamic model, are the focus of part 1 and parts 3 and 4 elaborate on Eichner's work on growth and money and yield insights into the theoretical disagreements among the Post-Keynesians themselves. Part 5 presents a number of examples of non-neo-classical model building. Part 6 opens with a critique of the "new economic history" that leads to other essays on thorny methodological issues confronting Post-Keynesians. Part 7 gives a European perspective on North American Post-Keynesian economics. The essays reveal the relationships between Eichner's work and Institutionalist and Marxian economics. At the same time, the book raises current theoretical conflicts among these groups as well as among Post-Keynesians themselves. This book compliments Alfred S.Eichner's "The Macrodynamics of Advanced Market Economies", also published in 1991, and is appropriate for scholars and upper-level undergraduates and graduate students.

Nilmini Wickramasinghe

Papers

Encyclopedia of Healthcare Information Systems

$\mathtt {Deepr}$: A Convolutional Net for Medical Records.

Deepr: A Convolutional Net for Medical Records

A framework for assessing e-health preparedness

Principles of Knowledge Management: Theory, Practice, and Cases