The Balanced Scorecard (BSC) can be considered as a strategic measurement tool. Many companies have applied it to measure four key aspects of their organisations' performance: financial, customer, internal business process and learning and growth. Although it is widely used in the business arena, this original BSC was not developed to assess the impact of collaborative research projects under an open innovation strategy, where the outputs of research and development developed by collaborative projects undertaken by industry and universities should be measured in a different way. Therefore, this article will propose a scorecard to measure the outcomes of collaborative research and present two case studies of how companies are using this tool to measure the outcomes. It is important to recall that this scorecard has been developed during a collaborative research project by CEMEX Research Group AG (Switzerland) and Cranfield University (UK). During such project, a survey was developed to carry out interviews in a sample of 10 companies in UK, where it was confirmed that a collaborative BSC is a very useful tool to measure, track and improve the impact of conducting collaborative projects with universities. This article is an extended version of the one presented at the PRO-VE'09 conference (Flores et al. 2009. A balanced scorecard for measuring the impact of industry-university collaboration.
In recent years, the way corporates innovate has changed significantly. Going from 'behind closed doors' innovation to open innovation where collaboration with outsiders is encouraged, companies are in the pursuit of more effective ways to accelerate their innovation outcomes. As a result, many companies are investing to create more entrepreneurial environments, which not only empower employees to proactively propose and test new ideas, but also reach beyond company walls to involve many others in the co-creation of new solutions. In this paper, we outline the most notable benefits of hackathons from the perspective of large organizations, and present the benefits and a methodology for organizing hackathons, ie. competition-based events where participants work in small teams over a short period of time to ideate, design, rapidly prototype and test their ideas with a user-centric approach to solve a determined challenge. This paper also provides a brief insight into the CEMEX Hackathon, which was organized following the aforementioned methodology.
Abstract. The Balanced Scorecard (BSC) can be considered as a strategic measurement tool. Since its first publication by Norton and Kaplan in the early 1990's, many companies have applied it to measure four key aspects of their organisations' performance: Financial, Customer, Internal Business Process, Learning and Growth. Although it is widely used in the business arena, this original BSC was not developed to assess the impact of collaborative research projects under an open innovation strategy, where the outputs of research and development (R&D) developed by collaborative projects undertaken by industry and universities should be measured in a different way. In fact, many companies are losing important opportunities to spur their R&D results by not being able to quantify the results of such collaborations. Therefore, this paper will propose a Scorecard to measure the outcomes of collaborative research. It is important to recall that this scorecard has been developed during a collaborative research project by CEMEX Research Group AG (Switzerland) and Cranfield University (UK). During such project, a survey was developed to carry out eleven face-to-face interviews in a sample of ten companies in UK, which provided important inputs to design such strategic scorecard. It was confirmed that a collaborative balanced scorecard is a very useful tool to measure, track and improve the impact of conducting collaborative projects with universities.
Lean practices have been applied by a diverse number of companies in manufacturing during the last decade. Nevertheless, the satisfactory and ongoing trajectory towards an effective application of Lean principles in the New Product Development Process (NPD) is currently under study as it is rather new in industry and the companies still face different challenges to successfully implement them. As a consequence, a novel Maturity Model and assessment tool called SMART has been developed as part of a Lean Transformation Toolkit (Lean 1'2) within the LeanPPD project funded by the European Commission (NMP-2008-214090). This Maturity Model and assessment tool has three main goals: 1) to enable companies to understand which are the main lean practices that are required to achieve a lean product development process and the four perspectives into which these practices are grouped 2) assess which are the companies' curr ent and desired maturity levels in order to develop an action plan for continuous improvement and 3) obtain in a simple and automatic way the results of the assessment highlighting the main opportunity areas. This tool is also meant to follow the company during the Lean Product and Process roadmap, providing the firm the maturity level in each milestone. Therefore, the objective of this paper is twofold, 1) to provide first insights of the successful validation of the SMART Assessment tool in five companies in Spain and 2) to summarize the results of an exploratory study which evidences difficulties and best practices in regards to the implementation of lean practices in product development.
This paper is presenting the conceptual Lean Product and Process Development (LeanPPD) model which is a project funded by the EU-PF7. The project is addressing the needs of European manufacturing companies of a new model that goes beyond lean manufacturing, to ensure the transformation of the enterprise into lean environment. This is a respond to the market demand of value creation, incorporating sustainability and customisation as well as ensuring business growth through the development of high quality products in a cost effective manner at the shortest time. The authors believe that significant change in enterprise performance can be achieved through the adoption of lean thinking throughout the product life cycle. The paper presents the LeanPPD enablers which represent the building block of the model.
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