1,720,980 research outputs found
PSS Design Considering Feedback from the Entire Product-service Lifecycle and Social Media
No full textAbstractIn the globally competitive market landscape, companies, in order to remain sustainable, must shift their focus towards constantly improving their PSS offerings by incorporating lean thinking approaches. PSS are complex, dynamic, and multi-dimensional systems, which are supported by appropriate infrastructure and networks. At the same time, PSS require robust engineering methods and tools for their design, which allow multi-dimensional exchange of knowledge between the designers and the relevant stakeholders across the value chain. Currently, enabling technologies such as Cloud technology, social media and networking, knowledge management, and context sensitivity present new possibilities to enhance the knowledge exchange and the collaborative process of PSS design. These technologies allow the gathering and analysis of big volumes of data from scattered heterogeneous IT systems and, at the same time, allow PSS design improvements by processing the experiences of the business customers, consumers, designers, shop-floor, and provide feedback to the design phase. However, a number of challenges are encountered during the gathering, visualization, monitoring, and assessment of related data, such as the lack of context sensitivity. Simultaneously, PSS evaluation approaches are still immature and there is limited work that correlates the impact of the entire PSS lifecycle with the performance assessment of the PSS design. The present work includes a review of the aforementioned technologies from academic, market, and industrial perspectives. Based on an extensive literature review and on constructive discussions with three European SMEs, several barriers and limitations of adopting the aforementioned technologies in practice are identified. Finally, a conceptual eco-innovative framework for lean PSS design is presented, explaining how these technologies could be combined for the improvements of PSS design and evaluation procedures
Supporting Context Sensitive Lean Product Service Engineering
No full textAbstractModern companies face immense market pressure to meet customers’ demands while ensuring the sustainability of business. Consumers are now requesting highly customized products and services, i.e. demanding mass customization from manufacturing companies. The complete value chain needs to develop strategies enabling interaction with customers and consumers, supporting customization of features and services, and even co-design. This paper presents the DIVERSITY approach, which consists on a methodology and engineering environment supporting companies in using social media to realize a context sensitive lean design process of product service systems
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Development of a Predictive Decision Support System For Group Decision Processes
Full text linkThis thesis addresses the development of a decision support system for facilitating decision-making
processes in a multi-person environment. The problem lies in the complexity of decision making when
involving multiple stakeholders with diverse perspectives and priorities and the increase in the number
of criteria and alternatives, demanding a considerable amount of time and effort for conducting pairwise
comparisons. This challenge makes it crucial to develop a tool that can aid in evaluating and prioritizing
alternatives based on criteria efficiently. The proposed approach intends to leverage the analytic
hierarchy process (AHP), a well-established decision-making method, to assist users in the evaluation
and prioritization of alternatives in order to reach the goal of certain challenge. Additionally, the thesis
explores the integration of predictive capabilities using linear regression to enhance decision-making
pre- dictions. The significance of this work lies in providing a user-friendly web application that
enables collaborative decision making, incorporating both the analytical hierarchy process method and
predictive modeling. The application aids users in making informed decisions based on historical data
and anticipates future decision patterns. The implications of this solution are improved decision
outcomes, time savings, and the ability to anticipate future decision patterns due to decision
simulations made possible by the predictive analysis of the users pairwise comparisons.Esta tese aborda o desenvolvimento de um sistema de apoio à decisão para facilitar os processos de
tomada de decisão num ambiente multi-pessoal. O problema reside na complexidade da tomada de
decisão quando este envolve múltiplos intervenientes com perspetivas e prioridades diversas, bem como
no aumento do número de critérios e alternativas, exigindo uma quantidade considerável de tempo e
esforço para realizar comparações par a par. Este desafio torna crucial o desenvolvimento de uma
ferramenta que possa auxiliar na avaliação e priorização de alternativas com base em critérios de forma
eficiente. A abordagem proposta pretende utilizar o processo hierárquico analítico (AHP), um método
de tomada de decisão bem estabelecido, para auxiliar os utilizadores na avaliação e priorização de
alternativas, de modo a ser atingido o objetivo para o problema proposto. Além disso, a tese explora a
integração de capacidades preditivas usando regressão linear para melhorar as previsões de tomada de
decisão. A importância deste trabalho reside em fornecer uma aplicação web amigável ao utilizador que
permita a tomada de decisões colaborativas, incorporando tanto o método de processo de hierarquia
analítica quanto a modelagem preditiva. A aplicação auxilia os utilizadores a tomar decisões informadas
com base em dados históricos e antecipa padrões futuros de decisão. As implicações desta solução
incluem resultados de decisões aprimorados, poupança de tempo e a capacidade de antecipar padrões
futuros de decisão devido às simulações de decisão possibilitadas pela análise preditiva das comparações
par a par feitas pelos utilizadores
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
The Integrated Design of Product-Service Systems using the DIVERSITY Platform: An Application Case
No full textCompanies are nowadays struggling to intercept the new needs arising from the market through the proposal of new offerings to customers and consumers. Simultaneously, they are facing the complexity connected to the transition toward the provision of an offering composed by a mix of products and services, namely the Product-Service System (PSS). As a matter of fact, currently, there is a lack of methods and tools able to support the integration of products and services, which constitutes a pivotal aspect in the PSS design. In response to this, the DIVERSITY Project developed a methodology (the Product-Service System Lean Design Methodology - PSSLDM) and a platform (the DIVERSITY Platform) built upon the concept of integrated design. This paper describes the application of the DIVERSITY instruments in CAREL S.p.A., showing the benefits of the new integrated approach
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