1,720,969 research outputs found
Framing the multifaceted nature of design thinking in addressing different innovation purposes
Scholars and practitioners acknowledge the role of design, and specifically design thinking, as a driver of innovation and change. Design thinking is gaining attention in the business community beyond the traditional product innovation realm and is increasingly promoted as an engine for the creation of novel user experiences, new businesses, strategic transformation, organizational and cultural change. Is it reasonable to assume that the same set of practices fits such a broad range of applications equally well? This study addresses how design thinking applications are differently framed when addressing diverse innovation purposes. Specifically, we compare two purposes: innovation of solutions, encompassing traditional product and service development projects, and innovation of direction, encompassing strategic and organizational renewal projects. Based on data collected from 146 design thinking projects conducted by European consulting firms we investigate the relationships between the design thinking practices adopted and the value generated by the projects. We then analyze how these relationships vary depending on the purpose of the innovation project, namely whether focused on innovating solutions or direction. The results show that different purposes indeed call for different practices. In projects aimed at innovating solutions, market value is positively related to capturing current user needs and envisioning future society. Conversely, in projects aimed at innovating direction, market value is positively related to challenging current assumptions
Design thinking in action: a quantitative study of design thinking practices in innovation projects
Design thinking is widely recognized as an effective problem solving approach in the professional and academic world, albeit with varying interpretations. It has been studied in multiple forms – as a tool, a practice, a skill, and a mindset – leading to ongoing debates about its fundamental nature. This study aims to explore the use of design thinking in practice and determine how its application varies depending on the characteristics of the innovation projects, namely the types of goals pursued and the level of uncertainty involved.
Using a survey methodology and a knowledge-intensive empirical setting, this study analyzes a dataset of 221 innovation consulting projects based on design thinking conducted by European consulting firms and design agencies.
By analyzing the survey data, we identify six distinct sets of design thinking practices: discovering user needs, understanding the problem addressed, challenging existing assumptions, navigating the problem-solution pair, ideating through visualizations, and learning through prototypes. We also identify configurations of these design thinking practices that are used to address different innovation project goals and levels of uncertainty.
The study draws attention to the need for design thinking practitioners to be aware of how different innovation project goals and levels of uncertainty can be pursued/addressed through the use of alternative configurations of design thinking practices.
This study is one of the first large-scale quantitative analyses of the nature of design thinking in action, providing a solid foundation for future research on design thinking
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
Appropriate Similarity Measures for Author Cocitation Analysis
We 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
Unpacking experimentation in design thinking [Elektronisk resurs] : Contributions to innovation performance and the moderating role of digital technologies
Design thinking is an innovation approach that emphasizes developing and testing hypotheses about the desirability, feasibility, and viability of an idea through iterative experimentation. Although widely used, there is limited empirical evidence to support the effectiveness of experimentation practices in design thinking projects. Similarly, the impact of integrating digital technologies into experimentation processes remains underexplored. This study addresses these gaps by analyzing data from 246 design thinking projects to examine how early and frequent experimentation influences innovation performance, specifically in terms of effectiveness and efficiency. It also examines how the use of digital technologies moderates these relationships. The results show that both early and frequent experimentation positively influence innovation effectiveness, while only early experimentation significantly improves innovation efficiency. Moreover, the use of digital technologies strengthens the positive effects of early experimentation on both effectiveness and efficiency. This research provides valuable theoretical and practical insights by deepening our understanding of how experimentation and digital tools drive innovation performance in design thinking projects. •Experimentation practices and digital technologies are recognized as germane for design thinking projects•Early and frequent experimentation practices are positively related to innovation effectiveness•Early experimentation practices are positively related to project efficienc
Dispelling the Myths Behind First-author Citation Counts
We 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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