Anneke Vandevelde, Roland Van Dierdonck, and Bart Clarysse
Vlerick Leuven Gent Management School Working Paper Series, 2001.
The aim of this paper was to achieve a better understanding of the specific role of physical prototyping in the product development process. Data from a survey of 25 companies revealed that the direct effect of prototyping on multidimensional project performance is limited. However, physical prototyping appears to affect process and product concept characteristics. More particularly, it improves interdisciplinary communication, supports a concurrent, time-oriented approach and collaboration in balanced teams. It enhances the project leader's championing, and increases the support of senior management and product quality. Finally, physical prototyping indirectly affects project performance via these modified characteristics.
Institute of Transportation Studies, Research Reports, Working Papers, Proceedings, 1993.
Highway communications, Route choice, User interfaces (Computer systems), and route guidance
This manual provides a brief introduction to four classes of software objects developed to help a user create and test interfaces using these objects in the Interface Builder application environment. The Knob, Dial, Alert Light, and Map object classes presented here represent the beginnings of a software library of virtual interface objects designed to support a rapid prototyping environment for advanced interfaces as described in "Rapid Prototyping of Advanced Driver Interface Systems."
object oriented programming, open source software, programming language, Python, and rapid prototyping
Python is a powerful high level open source programming language, that is available for multiple platforms. It supports object oriented programming, and has recently become a serious alternative to low level compiled languages such as C. It is easy to learn and use, and is recognized for very fast development times, which makes it suitable for rapid software prototyping as well as teaching purposes. We motivate the use of Python and its free extension modules for high performance stand alone applications in econometrics and statistics, and as a tool for gluing different applications together. We give details on the core language features, which will enable a user to immediately begin work, and then provide practical examples of advanced uses of Python. Finally, we compare the run-time performance of extended Python against a number of commonly used statistical packages and programming environments.
Open and User Innovation, User Innovation Process, User Innovator Characteristics, Lead User Research, and Collaborative Workspaces
User innovation is a broadly discussed phenomenon in the context of open innovation which describes, for instance, the customer integration into the early phases of new product development). Despite there existing a large body of research in the field of lead users and user innovation, scientific literature provides only a few insights into how barriers are influencing user innovators and their development processes (Braun and Herstatt, 2007). In addition, there is still little research into the effects of user innovation barriers on user-generated products, and how user innovators' personal characteristics remedy or foster the effect of barriers on user-generated products along the user innovation process. Accordingly, this study contributes to lead user and user innovation theory by analyzing quantitative data from 299 respondents in the field of Fab Labs and makerspaces. An empirical model comprising user innovation barriers (technological, social, legal and ownership), user innovators' personal traits (lead userness and openness) and user innovations' product properties (perceived complexity) is analyzed by applying multivariate regression methods. Findings from the study reveal a hierarchical allocation of the barriers' impacts on the dependent variable perceived complexity, along the development stages. Barriers in user innovation processes serve as factors hindering, but also promoting, user innovation activities. It has been found, for instance, that technological barriers in the conceptualization and social barriers in the prototyping phase increase user innovations' perceived complexity. Instead, legal barriers in prototyping even decrease perceived complexity. Furthermore, an influence of openness as a direct and moderating personal trait to overcome user innovation barriers has been confirmed by this study.
A. L. Alfeo, F. P. Appio, M. G. C. A. Cimino, A. Lazzeri, A. Martini, and G. Vaglini
Working Papers, 2019.
Regional innovation is more and more considered an important enabler of welfare. It is no coincidence that the European Commission has started looking at regional peculiarities and dynamics, in order to focus Research and Innovation Strategies for Smart Specialization towards effective investment policies. In this context, this work aims to support policy makers in the analysis of innovation-relevant trends. We exploit a European database of the regional patent application to determine the dynamics of a set of technological innovation indicators. For this purpose, we design and develop a software system for assessing unfolding trends in such indicators. In contrast with conventional knowledge-based design, our approach is biologically-inspired and based on self-organization of information. This means that a functional structure, called track, appears and stays spontaneous at runtime when local dynamism in data occurs. A further prototyping of tracks allows a better distinction of the critical phenomena during unfolding events, with a better assessment of the progressing levels. The proposed mechanism works if structural parameters are correctly tuned for the given historical context. Determining such correct parameters is not a simple task since different indicators may have different dynamics. For this purpose, we adopt an adaptation mechanism based on differential evolution. The study includes the problem statement and its characterization in the literature, as well as the proposed solving approach, experimental setting and results.