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Especially in industrial countries the portion of elderly people is growing in many societies. Their needs are more intensified than the demands of younger people in many aspects. Companies need the right tools (e.g. market research methods for elderly people) to detect these needs, preferences, and demands of elderly people. Samah Abu-Assab verifies two existing research methods and suggests a new one for determining the preferences of elderly people. The new method seems to be promising and adequate for the elderly target group.
Especially in industrial countries the portion of elderly people is growing in many societies. Their needs are more intensified than the demands of younger people in many aspects. Companies need the right tools (e.g. market research methods for elderly people) to detect these needs, preferences, and demands of elderly people. Samah Abu-Assab verifies two existing research methods and suggests a new one for determining the preferences of elderly people. The new method seems to be promising and adequate for the elderly target group.
The continuous growth of older populations, as a consequence of demographic changes, is a huge global challenge. The growing proportion of older adults not only burdens the healthcare system, specifically, in developing countries but also posits a challenge at the household level, specifically, in nuclear and one-person households. For societies as a whole to avoid costly and negative effects, it is crucial to increase their knowledge of how to promote good health among older adults, so that they can live longer and enjoy a better quality of life. Active aging is the process of optimizing opportunities for health, participation, and security in order to enhance quality of life as people age. An active and healthy life has remained one of the most important aspirations for all people, both young and older adults alike. This ambition has become a genuine possibility for many due to a rising life expectancy among people of diverse attributes across the world. While celebrating longer life and more financial security in later life than ever before, we need to challenge how these aspirations can be sustained, through our own behavioral responses and through public policy, institutional reforms, and innovations. The challenge is to identify, recommend, and promote strategies and interventions that stimulate and sustain the activity, independence, and health of people of all ages, especially older adults, and, in the process, promote the well-being and quality of life of people and make public welfare systems more sustainable.
近年來，隨著社會變遷與電子資訊快速流通，各個企業對產品的行銷策略更加多元，消費者對產品的需求變化很大，選購產品的偏好複雜而難以掌握，而使產品設計的趨勢轉為滿足不同的顧客需求。因此，設計師在產品開發過程中，需結合電腦資料庫的應用，以便快速產生產品外形構想，同時能更貼近消費者的多元需求與偏好。 本研究透過感性形容詞語彙，結合造形原理中的美學觀點、層級分析與灰色理論等方法，試提出一套產品造形評價模式，提供產品設計師面臨產品創新設計與開發時，如何透過感性形容詞語彙來了解使用者對於產品造形的喜好與需求，加速
Clustering and Classification, Data Analysis, Data Handling and Business Intelligence are research areas at the intersection of statistics, mathematics, computer science and artificial intelligence. They cover general methods and techniques that can be applied to a vast set of applications such as in business and economics, marketing and finance, engineering, linguistics, archaeology, musicology, biology and medical science. This volume contains the revised versions of selected papers presented during the 11th Biennial IFCS Conference and 33rd Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was organized in cooperation with the International Federation of Classification Societies (IFCS), and was hosted by Dresden University of Technology, Germany, in March 2009.
This book reflects the recent developments while providing a comprehensive introduction to the Internet of things (IoT) and cloud technologies in transforming aging. IoT has its origins in device connectivity, whereas the cloud grew out of computer science. They can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. This book is aimed at advanced undergraduates or first-year research students, as well as researchers and practitioners, and assumes no previous knowledge of IoT and cloud concepts. Basics of computer applications and concepts are required. Some familiarity with gerontechnology would be helpful, though not essential, as this book includes a self-contained introduction to how technology is transforming elderly care and eHealth management. This book aims to give references that offer more detail than is possible here and hopefully provide an entry point into a series of technologies that can improve the quality of life for the elderly. The book includes several case studies explaining how each piece of technology works and its benefits to the elderly. This book is also considered as a simple guide to the technologies for the elderly to use in the community.
This book investigates in detail large-scale group decision-making (LSGDM) problem, which has gradually evolved from the traditional group decision-making problem and has attracted more and more attention in the age of big data. Pursuing a holistic approach, the book establishes a fundamental framework for LSGDM with uncertain and behavioral considerations. To address the behavioral uncertainty and complexity of large groups of decision-makers, this book mainly focuses on new solutions of LSGDM problems using the interval type-2 fuzzy uncertainty theory and social network analysis techniques, including the exploration of uncertain clustering analysis, the consideration of social relationships, especially trust relationships, the construction of consensus evolution networks, etc. The book is intended for researchers and postgraduates who are interested in complex group decision-making in the new media era. Authors also investigate the similar features between LSGDM problems and group recommendations to study the applications of LSGDM methods. After reading this book, readers will have a new understanding of the LSGDM study under the real complicated context.
Building upon the fundamental principles of decision theory, Decision-Based Design: Integrating Consumer Preferences into Engineering Design presents an analytical approach to enterprise-driven Decision-Based Design (DBD) as a rigorous framework for decision making in engineering design. Once the related fundamentals of decision theory, economic analysis, and econometrics modelling are established, the remaining chapters describe the entire process, the associated analytical techniques, and the design case studies for integrating consumer preference modeling into the enterprise-driven DBD framework. Methods for identifying key attributes, optimal design of human appraisal experiments, data collection, data analysis, and demand model estimation are presented and illustrated using engineering design case studies. The scope of the chapters also provides: A rigorous framework of integrating the interests from both producer and consumers in engineering design, Analytical techniques of consumer choice modelling to forecast the impact of engineering decisions, Methods for synthesizing business and engineering models in multidisciplinary design environments, and Examples of effective application of Decision-Based Design supported by case studies. No matter whether you are an engineer facing decisions in consumer related product design, an instructor or student of engineering design, or a researcher exploring the role of decision making and consumer choice modelling in design, Decision-Based Design: Integrating Consumer Preferences into Engineering Design provides a reliable reference over a range of key topics.
During recent years, the use of advanced data analysis methods has increased in clinical and epidemiological research. This book emphasizes the practical aspects of new data analysis methods, and provides insight into new challenges in biostatistics, epidemiology, health sciences, dentistry, and clinical medicine. This book provides a readable text, giving advice on the reporting of new data analytical methods and data presentation. The book consists of 13 articles. Each article is self-contained and may be read independently according to the needs of the reader. The book is essential reading for postgraduate students as well as researchers from medicine and other sciences where statistical data analysis plays a central role.