Integrating technology roadmapping and portfolio management at the front-end of new product development

Many authors point out that the front-end of new product development (NPD) is a critical success factor in the NPD process and that numerous companies face difficulties in carrying it out appropriately. Therefore, it is important to develop new theories and proposals that support the effective implementation of this earliest phase of NPD. This paper presents a new method to support the development of front-end activities based on integrating technology roadmapping (TRM) and project portfolio management (PPM). This new method, called the ITP Method, was implemented at a small Brazilian high-tech company in the nanotechnology industry to explore the integration proposal. The case study demonstrated that the ITP Method provides a systematic procedure for the fuzzy front-end and integrates innovation perspectives into a single roadmap, which allows for a better alignment of business efforts and communication of product innovation goals. Furthermore, the results indicated that the method may also improve quality, functional integration and strategy alignment. (C) 2010 Elsevier Inc. All rights reserved.

Learning about knowledge management for improving environmental impact assessment in a government agency: The Western Australian experience

How does knowledge management (KM) by a government agency responsible for environmental impact assessment (EIA) potentially contribute to better environmental assessment and management practice? Staff members at government agencies in charge of the EIA process are knowledge workers who perform judgement-oriented tasks highly reliant on individual expertise, but also grounded on the agency`s knowledge accumulated over the years. Part of an agency`s knowledge can be codified and stored in an organizational memory, but is subject to decay or loss if not properly managed. The EIA agency operating in Western Australia was used as a case study. Its KM initiatives were reviewed, knowledge repositories were identified and staff surveyed to gauge the utilisation and effectiveness of such repositories in enabling them to perform EIA tasks. Key elements of KM are the preparation of substantive guidance and spatial information management. It was found that treatment of cumulative impacts on the environment is very limited and information derived from project follow-up is not properly captured and stored, thus not used to create new knowledge and to improve practice and effectiveness. Other opportunities for improving organizational learning include the use of after-action reviews. The learning about knowledge management in EIA practice gained from Western Australian experience should be of value to agencies worldwide seeking to understand where best to direct their resources for their own knowledge repositories and environmental management practice. (C) 2011 Elsevier Ltd. All rights reserved.

Management Innovation at the Brazilian Superior Tribunal of Justice

We describe administrative reform involving management innovation undertaken at the Superior Tribunal of Justice, Brazil`s highest appellate court for infra-constitutional cases. The innovation is the introduction of a new management model based on strategic planning and a process management approach to work processes. Introduction of the new model has been supported by the use of information technology and project management techniques. Qualitative methods were used for data collection and analysis. Findings reveal that the innovation is contributing to the development of a systemic overview of key processes, reducing the fragmenting effects of the division of work activities within the Tribunal. At least three new organizational routines or capabilities have been developed as a result of the innovation studied: Electronic Court Management, Project Management, and Process Management. The paper contributes to knowledge about court management, a field that has received little research attention in the public administration literature.

Low- and high-density lipoprotein cholesterol goal attainment in dyslipidemic women: The Lipid Treatment Assessment Project (L-TAP) 2

Background Differences between women and men have been documented for both diagnostic testing and treatment in cardiology. This analysis evaluates whether low-density lipoprotein cholesterol (LDL-C) success rates according to current guidelines and high-density lipoprotein cholesterol (HDL-C) levels differ by gender in the L-TAP 2 population. Methods Patients aged >= 20 years with dyslipidemia on stable lipid-lowering therapy were assessed in 9 countries between September 2006 and April 2007. Low-density lipoprotein cholesterol goal attainment by cardiovascular risk level and region and determinants of low HDL-C were compared between genders. Results Of 9,955 patients (45.3% women) evaluated, women had a significantly lower overall LDL-C success rate than men (71.5% vs 73.7%, P = .014), due entirely to the difference in the high-risk/coronary heart disease (CHD) group (LDL-C goal <100 mg/dL, 62.6% vs 70.6%, P < .0001) Among CHD patients with >= 2 additional risk factors, only 26.7% of women and 31.5% of men (P = .021) attained the optional LDL-C goal of <70 mg/dL. High-density lipoprotein cholesterol was <50 mg/dL in 32.2% of women and <40 mg/dL in 26.8% of men (P < .0001), including 38.2% of women and 29.8% of men in the high risk/CHD group (P < .0001). Predictors of low HDL-C in women included diabetes, smoking, waist circumference, and hypertension. Conclusions Cholesterol treatment has, improved substantially since the original L-TAP a decade ago, when only 39% of women attained their LDL-C goal. However, high-risk women are undertreated compared to men, and a substantial opportunity remains to reduce their cardiovascular risk. (Am Heart J 2009; 158:860-6.)

Lipid Treatment Assessment Project 2 A Multinational Survey to Evaluate the Proportion of Patients Achieving Low-Density Lipoprotein Cholesterol Goals

Background-Information about physicians` adherence to cholesterol management guidelines remains scant. The present survey updates our knowledge of lipid management worldwide. Methods and Results-Lipid levels were determined at enrollment in dyslipidemic adult patients on stable lipid-lowering therapy in 9 countries. The primary end point was the success rate, defined as the proportion of patients achieving appropriate low-density lipoprotein cholesterol (LDL-C) goals for their given risk. The mean age of the 9955 evaluable patients was 62 +/- 12 years; 54% were male. Coronary disease and diabetes mellitus had been diagnosed in 30% and 31%, respectively, and 14% were current smokers. Current treatment consisted of a statin in 75%. The proportion of patients achieving LDL-C goals according to relevant national guidelines ranged from 47% to 84% across countries. In low-, moderate-, and high-risk groups, mean LDL-C was 119, 109, and 91 mg/dL and mean high-density lipoprotein cholesterol was 62, 49, and 50 mg/dL, respectively. The success rate for LDL-C goal achievement was 86% in low-, 74% in moderate-, and 67% in high-risk patients (73% overall). However, among coronary heart disease patients with >= 2 risk factors, only 30% attained the optional LDL-C goal of < 70 mg/dL. In the entire cohort, high-density lipoprotein cholesterol was < 40 mg/dL in 19%, 40 to 60 mg/dL in 55%, and > 60 mg/dL in 26% of patients. Conclusions-Although there is room for improvement, particularly in very-high-risk patients, these results indicate that lipid-lowering therapy is being applied much more successfully than it was a decade ago. (Circulation. 2009; 120: 28-34.)

Application execution management on the InteGrade opportunistic grid middleware

The InteGrade project is a multi-university effort to build a novel grid computing middleware based on the opportunistic use of resources belonging to user workstations. The InteGrade middleware currently enables the execution of sequential, bag-of-tasks, and parallel applications that follow the BSP or the MPI programming models. This article presents the lessons learned over the last five years of the InteGrade development and describes the solutions achieved concerning the support for robust application execution. The contributions cover the related fields of application scheduling, execution management, and fault tolerance. We present our solutions, describing their implementation principles and evaluation through the analysis of several experimental results. (C) 2010 Elsevier Inc. All rights reserved.

Software maintenance project delays prediction using Bayesian Networks

Managing software maintenance is rarely a precise task due to uncertainties concerned with resources and services descriptions. Even when a well-established maintenance process is followed, the risk of delaying tasks remains if the new services are not precisely described or when resources change during process execution. Also, the delay of a task at an early process stage may represent a different delay at the end of the process, depending on complexity or services reliability requirements. This paper presents a knowledge-based representation (Bayesian Networks) for maintenance project delays based on specialists experience and a corresponding tool to help in managing software maintenance projects. (c) 2006 Elsevier Ltd. All rights reserved.