INVESTIGATING CRIME-TO-TWITTER RELATIONSHIPS IN URBAN ENVIRONMENTS - FACILITATING A VIRTUAL NEIGHBORHOOD WATCH

Social networks offer vast potential for marketing agencies, as members freely provide private information, for instance on their current situation, opinions, tastes, and feelings. The use of social networks to feed into crime platforms has been acknowledged to build a kind of a virtual neighborhood watch. Current attempts that tried to automatically connect news from social networks with crime platforms have concentrated on documentation of past events, but neglected the opportunity to use Twitter data as a decision support system to detect future crimes. In this work, we attempt to unleash the wisdom of crowds materialized in tweets from Twitter. This requires to look at Tweets that have been sent within a vicinity of each other. Based on the aggregated Tweets traffic we correlate them with crime types. Apparently, crimes such as disturbing the peace or homicide exhibit different Tweet patterns before the crime has been committed. We show that these tweet patterns can strengthen the explanation of criminal activity in urban areas. On top of that, we go beyond pure explanatory approaches and use predictive analytics to provide evidence that Twitter data can improve the prediction of crimes

How can health care organizations create value? : business model explorations

Background: The Triple Aim posits that health care should strive to improve patient experience, improve population health, and maintain or lower costs. However, most organizations are not organized to achieve the Triple Aim. Attempts to improve the ability of health care organizations to deliver increased value through the introduction of management concepts, most recently Value-based Health Care (VBHC), have led to the emergence of a pattern of pseudoinnovation, where concepts are frequently replaced with similar content, but in new “packaging”. This suggests that organizations and their ability to adapt to their environment and integrate new management concepts could potentially be explored by looking at how the concepts themselves are understood and at how organizations deliver care. In management terms, the latter can be described as the business model (i.e., how an organization creates, delivers, and captures value). Aim: The overall aim of this thesis is to understand how management concepts about value are understood and to explore how health care organizations in a publicly financed health care system are organized so that they create, deliver, and capture value. Methodology: In Study I, citation registry data and literature were sequentially analyzed qualitatively and quantitatively to assess diffusion and understanding of VBHC as a nascent management concept in the literature. Study II, a systematic review, employed an explanatory synthesis approach to understand how business model frameworks have been applied in health care. Studies III and IV apply the Business Model Canvas (BMC) framework in a deductive content analysis of interviews with top managers (Study III) and with multiple data sources (Study IV) to conceptualize a hospital business model and to compare perinatal clinics’ business models in a publicly financed, Swedish health care setting. Findings: VBHC and business model frameworks are commonly and increasingly used to improve value in health care. VBHC is superficially understood in the literature (Study I). Business model frameworks are primarily applied in e-health. They include a broad range of elements and have been used to identify essential elements, assess finances, and classify, analyze, develop, and evaluate organizations (Study II). Managers conceptualized the hospital business model differently, primarily related to customer segments. A tension between espoused and de facto value propositions was identified (Study III). Four distinct perinatal business models were identified within the same regional health system (New Thinkers, a Local Service Provider, Continuous Capacity Keepers, and a Hybrid) (Study IV). Conclusions: The superficial understanding of VBHC and the ambiguity and lack of empirical data in business model applications risk diluting the potential benefits of both these management approaches. The multiple, co-existing business models within the same organization or health care system raise questions about how organizations are aligned and how we should view the role of different stakeholders in creating, delivering, and capturing value

Design revolutions: IASDR 2019 Conference Proceedings. Volume 4: Learning, Technology, Thinking

In September 2019 Manchester School of Art at Manchester Metropolitan University was honoured to host the bi-annual conference of the International Association of Societies of Design Research (IASDR) under the unifying theme of DESIGN REVOLUTIONS. This was the first time the conference had been held in the UK. Through key research themes across nine conference tracks – Change, Learning, Living, Making, People, Technology, Thinking, Value and Voices – the conference opened up compelling, meaningful and radical dialogue of the role of design in addressing societal and organisational challenges. This Volume 4 includes papers from Learning, Technology and Thinking tracks of the conference

Medical Informatics and Data Analysis

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

Personalized ambient parameters monitoring: design and implementing of a wrist-worn prototype for hazardous gases and sound level detection

The concentration is on “3D space utilization” as the concept and infrastructure of designing of a wearable in ambient parameters monitoring. This strategy is implemented according to “multi-layer” approach. In this approach, each group of parameters from the same category is monitored by a modular physical layer enriched with the respected sensors. Depending on the number of parameters and layers, each physical layer is located on top of another. The intention is to implement a device for “everyone in everywhere for everything”

Digital transformation in the manufacturing industry : business models and smart service systems

The digital transformation enables innovative business models and smart services, i.e. individual services that are based on data analyses in real-time as well as information and communications technology. Smart services are not only a theoretical construct but are also highly relevant in practice. Nine research questions are answered, all related to aspects of smart services and corresponding business models. The dissertation proceeds from a general overview, over the topic of installed base management as precondition for many smart services in the manufacturing industry, towards exemplary applications in form of predictive maintenance activities. A comprehensive overview is provided about smart service research and research gaps are presented that are not yet closed. It is shown how a business model can be developed in practice. A closer look is taken on installed base management. Installed base data combined with condition monitoring data leads to digital twins, i.e. dynamic models of machines including all components, their current conditions, applications and interaction with the environment. Design principles for an information architecture for installed base management and its application within a use case in the manufacturing industry indicate how digital twins can be structured. In this context, predictive maintenance services are taken for the purpose of concretization. It is looked at state oriented maintenance planning and optimized spare parts inventory as exemplary approaches for smart services that contribute to high machine availability. Taxonomy of predictive maintenance business models shows their diversity. It is viewed on the named topics both from theoretical and practical viewpoints, focusing on the manufacturing industry. Established research methods are used to ensure academic rigor. Practical problems are considered to guarantee practical relevance. A research project as background and the resulting collaboration with different experts from several companies also contribute to that. The dissertation provides a comprehensive overview of smart service topics and innovative business models for the manufacturing industry, enabled by the digital transformation. It contributes to a better understanding of smart services in theory and practice and emphasizes the importance of innovative business models in the manufacturing industry