21,880 research outputs found

    Post-Series Design: a tool for catalysing the diffusion of personalisable design.

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    Today a range of increasingly mainstream Digital Fabrication tools help designers not only in prototyping, but also in the production of final parts for consumer products. These hardware tools, while still have significant limitations, they already offer new levels of morphological freedom and logistical flexibility, which allows the efficient production of personalisable products – supposing advanced software tools of Parametric Design. However, since DF, PD and personalisation are still marginal, one may suspect that the Design profession has a shortage of adequate capabilities. Therefore, this contribution proposes a conceptual tool focused on valorising the previous hardware and software tools to achieve meaningfully personalisable products. The proposed canvas tool is structured specifically to facilitate opportunity identification and conceptual design, based on a set of key advantages (variabilities) derived from numerous case studies of existing personalisable products realised with DF. The new approach and tool have been experimented with a class of product design students, but it also aims to facilitate product development at enterprises, coherently with the emerging Industry 4.0 paradigm

    The impact of Digital Platforms on Business Models: an empirical investigation on innovative start-ups

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    Digital platforms have the ability to connect people, organizations and resources with the aim of facilitating the core interactions between businesses and consumers as well as assuring a greater efficiency for the business management. New business concepts, such as innovative start-ups, are therefore created based on innovation, scalability and the relationships within the community around them. The purpose of this work is to deeply understand the evolution of business models brought by innovative and dynamic companies operating through online platforms. In order to achieve the objectives set, an exploratory multiple-case study was designed based on in-depth structured interviews. The aim was to conduct a mixed analysis, in order to rely both on qualitative and quantitative data. The structured interview protocol was therefore designed to collect and then analyse data concerning the company profile and managers’ perspectives on the phenomenon of interest. The interview protocol was submitted in advance and then face-to-face interviews were carried out with the following professional figures: Chief Executive Officer (CEO), General Manager, Chief Technology Officer (CTO), Marketing Manager and Developers. Collected data were analysed and processed through the Canvas Business Model in order to clearly outline similarities and differences among the sample. Results can be considered under two viewpoints. On the one hand, this work provides a detailed overview of the companies interviewed, according to the dimensions of: reference market dynamics, type and number of customers, scalability. On the other one, they allow to identify some success patterns regarding key activities, key resources, channel mix strategy, costs management, value proposition, customer segmentation, key partners and the way to obtain revenues. Results from the multiple-case study with 15 Italian start-ups provide interesting insights by comparing the innovative business models developed and highlighting key differences and similarities. verall, the start-ups analyzed, operating in several sectors, showed great growth prospects and the possibility to create value for their customers through innovative products and services offered through digital platforms

    Web Tracking: Mechanisms, Implications, and Defenses

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    This articles surveys the existing literature on the methods currently used by web services to track the user online as well as their purposes, implications, and possible user's defenses. A significant majority of reviewed articles and web resources are from years 2012-2014. Privacy seems to be the Achilles' heel of today's web. Web services make continuous efforts to obtain as much information as they can about the things we search, the sites we visit, the people with who we contact, and the products we buy. Tracking is usually performed for commercial purposes. We present 5 main groups of methods used for user tracking, which are based on sessions, client storage, client cache, fingerprinting, or yet other approaches. A special focus is placed on mechanisms that use web caches, operational caches, and fingerprinting, as they are usually very rich in terms of using various creative methodologies. We also show how the users can be identified on the web and associated with their real names, e-mail addresses, phone numbers, or even street addresses. We show why tracking is being used and its possible implications for the users (price discrimination, assessing financial credibility, determining insurance coverage, government surveillance, and identity theft). For each of the tracking methods, we present possible defenses. Apart from describing the methods and tools used for keeping the personal data away from being tracked, we also present several tools that were used for research purposes - their main goal is to discover how and by which entity the users are being tracked on their desktop computers or smartphones, provide this information to the users, and visualize it in an accessible and easy to follow way. Finally, we present the currently proposed future approaches to track the user and show that they can potentially pose significant threats to the users' privacy.Comment: 29 pages, 212 reference

    How to create value with unobtrusive monitoring technology in home-based dementia care: a multimethod study among key stakeholders

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    BACKGROUND: There is a growing interest to support extended independent living of people with dementia (PwD) via unobtrusive monitoring (UM) technologies which allow caregivers to remotely monitor lifestyle, health, and safety of PwD. However, these solutions will only be viable if developers obtain a clear picture of how to create value for all relevant stakeholders involved and achieve successful implementation. The aim of this study was therefore to explore the value proposition of UM technology in home-based dementia care and preconditions for successful implementation from a multi-stakeholder perspective. METHODS: We conducted an expert-informed survey among potential stakeholders (n = 25) to identify key stakeholders for UM technology in home-based dementia care. Subsequently, focus groups and semi-structured interviews were conducted among 5 key stakeholder groups (n = 24) including informal caregivers (n = 5), home care professionals (n = 5), PwD (n = 4), directors and managers within home care (n = 4), and policy advisors within the aged care and health insurance sector (n = 6). The sessions addressed the value proposition- and business model canvas and were analyzed using thematic analysis. RESULTS: Stakeholders agreed that UM technology should provide gains such as objective surveillance, timely interventions, and prevention of unnecessary control visits, whereas pains mainly included information overload, unplannable care due to real-time monitoring, and less human interaction. The overall design-oriented need referred to clear situation classifications including urgent care (fall- and wandering detection), non-urgent care (deviations in eating, drinking, sleeping), and future care (risk predictions). Most important preconditions for successful implementation of UM technology included inter-organizational collaboration, a shared vision on re-shaping existing care processes, integrated care ICT infrastructures, clear eligibility criteria for end-users, and flexible care reimbursement systems. CONCLUSIONS: Our findings can guide the value-driven development and implementation of UM technology for home-based dementia care. Stakeholder values were mostly aligned, although stakeholders all had their own perspective on what UM technology should accomplish. Besides, our study highlights the complexity of implementing novel UM technology in home-based dementia care. To achieve successful implementation, organizational and financial preconditions, as well as digital data exchange between home care organizations, will be important. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03550-1

    Strategic group mapping and strategy canvas analysis of the environmental consulting sector : a project-based dissertation on the German Market : a public archival data web-content analysis

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    Nesta dissertação na modalidade de projeto tive a oportunidade de entrar em contacto com uma Pequena Média empresa no setor de consultoria ambiental, onde me foi pedido para realizar uma análise à competição no mercado alemão, focando-me em mercados específicos em que a empresa se planeia especializar (Nanomateriais, Biocidas e Instrumentos Médicos). É possível observar que as leis ambientais mais restritivas, desenvolvimentos dentro da química e consciência ambiental estão a criar um grande potencial para crescimento e relevância deste setor. Gestão estratégica e categorização estratégica desenvolveram muitas correntes de pesquisa e no entanto, ferramentas estratégicas ainda não foram utilizadas para analisar o setor da Consultoria ambiental, que tem sido negligenciado na literatura. Através de uma análise de dados de arquivamento públicos (websites, páginas de LinkedIn, e relatórios anuais), foi possível aplicar ferramentas estratégicas (Mapeamento de grupos estratégicos e o Canvas estratégico) a uma amostra de 57 empresas de consultoria ambiental no mercado alemão assim como recolher sinais de competitividade e tamanho das empresas. Nesta análise pode-se comprovar que a revolução digital, sustentabilidade e responsabilidade corporativa já se encontram presentes nesta indústria, que várias empresas oferecem tanto apoio ambiental com foco regulatório e de gestão como um apoio ambiental com foco cientifico, procurando eficiência ambiental e redução de desperdício, e que nanomateriais parecem ser o mercado menos presente em websites, comparativamente com o mercado dos biocidas e dos instrumentos médicos. Este trabalho permitiu demonstrar o valor que ferramentas estratégicas podem ter, mesmo quando aplicado a informação publica, neste caso de websites, e também demonstrar as respetivas limitações, permitindo-nos ter uma melhor visão das nuances estratégicas e estrutura de um setor negligenciado. Para além disso, o contexto da análise estratégica também demonstra que o Brexit pode agir como um catalisador de expansão geográfica, o que é um impacto estratégico que ainda não tinha sido estudado previamente em empresas nesta indústria.In this project-based dissertation I had the chance to work with an environment consulting SME, where I was asked to do a competitor analysis of the German Market in particular sectors in which they will focus on (Nanomaterials, Biocides and Medical Devices). It is possible to observe that the increasingly stringent environmental policies, chemistry developments and environmental consciousness are creating a great potential for the growth in size and relevance of this sector. Strategic management and strategic categorization have developed into many streams of research, and however, strategic tools still haven’t been used to describe the environmental consulting sector, which has been overlooked in the literature. Through an analysis of public archival data (Company website, LinkedIn and annual reports), it was possible apply the Strategic group mapping and Strategy canvas frameworks to a sample of 57 environmental consulting companies in the German market, as well as to collect other signs of competitiveness and size. In this analysis it was found that the digital revolution, sustainability and corporate responsibility are already present in this industry, it was found that many companies are providing not only environmental regulatory and managerial support but at the same time providing scientific support, focusing on environmental efficiency and waste management, and that nanomaterials seem to be the least featured market in companies websites comparatively to biocides and medical devices. This paper allowed to demonstrate the value that strategic tools can have, even when applied to public website-content, as well as to demonstrate their limitations, allowing us to give a better overview of the strategic nuances and structure of an overlooked sector. Moreover, the context of this company’s strategic analysis also showcases that Brexit can act as a catalyst of geographical expansion, which is a strategical impact in this industry that hasn’t been studied before for companies in this industry

    The Business Model Analysis of Wika Lab Using Business Canvas Approach

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    WIKA Lab development prospect is potentially high, since their current achievement is reached with conventional management system and limited human resources and utilities. Therefore, there were several steps of the job which should be done by WIKA Lab’s partner. This limitation was seen not as the obstacle hampering them in performing high quality of service. This research is used to unveil the business model of WIKA Lab and determining the strategy of improving the business to the better level. This research used Business Model Canvas, since it can analyze nine elements showing the basic foundation of logic how company can make money. The identification result of this Model showed that WIKA Lab classified their clients differently as WIKA’s internal segment, WIKA’s subsidiaries, and WIKA’s external clients. The internal segment of WIKA contributes 95% income to the company. The subsidiaries provide 5% and the rest 0.6% is contributed from the external segment of WIKA.The model of business improvement of WIKA Lab bureau has successfully been formulated based on the recovery of the internal and external segments towards each component from the current business model. Concerned customer’s portfolio, the existent of the substitute product, less supportive system, less number of external factor are resulted from the less number of human resources in marketing or introducing the services of laboratory test in WIKA.Based on the recovery of the business model, a strategic recommendation can be constituted to improve the working performance, such as focus of exploring business potential from 95% clients, business expansion by diversification outside Jakarta by opening new laboratory office branch in WIKA’s subsidiaries in Indonesia. Keywords: Construction Service Industry, Business Model Canvas, Business Development Strategy, WIKA Lab, SWO

    URBANO: A Tour-Guide Robot Learning to Make Better Speeches

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    —Thanks to the numerous attempts that are being made to develop autonomous robots, increasingly intelligent and cognitive skills are allowed. This paper proposes an automatic presentation generator for a robot guide, which is considered one more cognitive skill. The presentations are made up of groups of paragraphs. The selection of the best paragraphs is based on a semantic understanding of the characteristics of the paragraphs, on the restrictions defined for the presentation and by the quality criteria appropriate for a public presentation. This work is part of the ROBONAUTA project of the Intelligent Control Research Group at the Universidad Politécnica de Madrid to create "awareness" in a robot guide. The software developed in the project has been verified on the tour-guide robot Urbano. The most important aspect of this proposal is that the design uses learning as the means to optimize the quality of the presentations. To achieve this goal, the system has to perform the optimized decision making, in different phases. The modeling of the quality index of the presentation is made using fuzzy logic and it represents the beliefs of the robot about what is good, bad, or indifferent about a presentation. This fuzzy system is used to select the most appropriate group of paragraphs for a presentation. The beliefs of the robot continue to evolving in order to coincide with the opinions of the public. It uses a genetic algorithm for the evolution of the rules. With this tool, the tour guide-robot shows the presentation, which satisfies the objectives and restrictions, and automatically it identifies the best paragraphs in order to find the most suitable set of contents for every public profil
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