New Hampshire University Research and Industry Plan: A Roadmap for Collaboration and Innovation

This University Research and Industry plan for New Hampshire is focused on accelerating innovation-led development in the state by partnering academia’s strengths with the state’s substantial base of existing and emerging advanced industries. These advanced industries are defined by their deep investment and connections to research and development and the high-quality jobs they generate across production, new product development and administrative positions involving skills in science, technology, engineering and math (STEM)

A survey on competitive intelligence practices for strategic decisions

Doutoramento em GestãoThis thesis aims to measure the frequency use of competitive intelligence as a support tool to the strategic decision-making in Portuguese organizations. Likewise, the thesis aims to measure the satisfaction level of the decision-maker when making decisions based on competitive intelligence. Based on an extensive literature review, some hypotheses appear to support a survey addressing competitive intelligence issues. Considering a convenient sample, the conclusions drawn about the use and satisfaction level based on competitive intelligence are as expected, as what lies beneath strategic decisions is also answered.Esta tese tem o objectivo de medir a frequência do uso de competitive intelligence como ferramenta de suporte à tomada de decisão estratégica nas empresas Portuguesas. De igual modo, tem o objectivo de medir o grau de satisfação dos decisores quando tomam decisões baseadas em competitive intelligence. Com base numa extensa revisão de literatura, surgem algumas hipóteses que suportam um inquérito sobre competitive intelligence. Considerando uma amostra de conveniência, as conclusões tiradas são as esperadas, e obtém-se a resposta para o que está por detrás da decisão estratégica.info:eu-repo/semantics/publishedVersio

SciTech News Volume 70, No. 4 (2016)

Columns and Reports From the Editor 3 Division News Science-Technology Division 4 SLA Annual Meeting 2016 Report (S. Kirk Cabeen Travel Stipend Award recipient) 6 Reflections on SLA Annual Meeting (Diane K. Foster International Student Travel Award recipient) 8 SLA Annual Meeting Report (Bonnie Hilditch International Librarian Award recipient)10 Chemistry Division 12 Engineering Division 15 Reflections from the 2016 SLA Conference (SPIE Digital Library Student Travel Stipend recipient)15 Fundamentals of Knowledge Management and Knowledge Services (IEEE Continuing Education Stipend recipient) 17 Makerspaces in Libraries: The Big Table, the Art Studio or Something Else? (by Jeremy Cusker) 19 Aerospace Section of the Engineering Division 21 Reviews Sci-Tech Book News Reviews 22 Advertisements IEEE 17 WeBuyBooks.net 2

The Application of Big Data Analytics to Patent Litigation

This research defines the current gap between big data analytics and patent litigation. It discovers how big data analytics can be applied to the patent industry in order to create more effective risk analysis, an early warning system, and preventative strategies for inside and outside of the courtroom. Big data has the potential to modify current practices in the patent industry, namely geared towards aiding patent examiners, attorneys, inventors, jurors, and judges. It also offers a solution to the threat that patent monetizers pose on smaller companies and inventors, who often lose rights to their patents and other assets in these sometimes unavoidable lawsuits. This research examines the application of big data in the healthcare industry for real-time results and preventative measures. These actions set a good precedent for further diffusion into other industries, specifically patent legal. Features for future implementation and project development are presented as a roadmap to create a universal big data analytics system for the patent industry. Finally, this research will touch upon a case study of Apple v. Samsung and identify how the case might have yielded different results in the event that big data analytics had been applied to the legal proceeding

The Industrial Application of Patent Analysis: An Empirical Study

This research investigates the value of patent analysis in an industrial context. An empirical approach is taken to test the benefits and limitations of a series of patent analysis techniques. The technology profiles of a group of competitor companies within the oil/petrochemicals area are mapped to evaluate the analysis techniques. Patent quantity analysis benefits from speed of execution but provides no indication of patent quality. The International Patent Classification (IPC) hierarchy can map a company’s technological diversity but the correlation of IPC categories with industry or product areas may present difficulties in a business-focused analysis. An experiment within the polymer chemistry area suggests there is a positive association between a patent’s citation counts and its commercial significance, as rated by expert grading. This supports the use of patent citation data to compare the quality of companies’ patent portfolios but the time lag to build citation counts may limit its usefulness in practice. Maps of inter-company patent references may indicate technological leadership but the value of other bibliographic-based techniques appears more marginal. A trend of inter-company differences in the volume of the ‘References Cited’ list is observed. If confirmed, this could impact the value of bibliographic-based patent analysis techniques. Patent analysis can assist in a merger evaluation, particularly at the due diligence phase, but it is often of secondary importance to financial and product market information. Several factors that may distort patent statistics are identified. These include inadequate company name consolidation, errors in patent classification and differences in national patent legislation. The study concludes that patent analysis has a valid place in the corporate environment, provided the output is interpreted judiciously

The diffusion of disruptive technologies

We identify novel technologies using textual analysis of patents, job postings, and earnings calls. Our approach enables us to identify and document the diffusion of 29 disruptive technologies across firms and labor markets in the U.S. Five stylized facts emerge from our data. First, the locations where technologies are developed that later disrupt businesses are geographically highly concentrated, even more so than overall patenting. Second, as the technologies mature and the number of new jobs related to them grows, they gradually spread across space. While initial hiring is concentrated in high-skilled jobs, over time the mean skill level in new positions associated with the technologies declines, broadening the types of jobs that adopt a given technology. At the same time, the geographic diffusion of low-skilled positions is significantly faster than higher-skilled ones, so that the locations where initial discoveries were made retain their leading positions among high-paying positions for decades. Finally, these technology hubs are more likely to arise in areas with universities and high skilled labor pools

Identifying patent conflicts: TRIZ-Led patent mapping

This paper presents a novel method of patent mapping for visualising conflicts between patent claims that incorporates the Theory of Inventive Problem Solving (TRIZ). The method uses TRIZ engineering parameters as the criteria for evaluating dissimilarities between patent claims, producing a visualisation based on Multi-Dimensional Scaling (MDS) that can be compared with legal judgments. The advantages of the method are that it (a) reduces evaluation complexity by transforming claim-to-claim comparisons into claim-to-criteria comparisons, and (b) provides a means of comparing judgment standards between different legal authorities in mechanical engineering terms. Reliability and validity of the method are tested through focus groups using a case study on aircraft seats. The scope of the method is limited to the field of mechanical inventions

Implementing high-technology intelligence at national level organizations: An action research study

Technology intelligence (TI) activities are those activities which support decision-making of technological and general management concerns by timely preparation of relevant information on technological facts and trends by means of collection, analysis and dissemination. Thus, TI is one of the important and critical processes of management of technology that includes technology forecasting, monitoring and assessment concepts.  Implementation of TI activities at national level organizations results in a system for high-technology decision makers which provides them not only a general view of relevant technologies but also the important trends of such technologies so they can make proper decisions for technology acquisitions. No models have not been developed for implementation of high technology intelligence in developing countries based on their different context so far. The main purpose of this research is to develop a model for designing roadmap for implementing high-technology systems at national level organizations in developing countries. The following project process is characterized as an oscillation between information accumulation, discourse, and practical action i.e action research. First based on literature review six dimensions of technology intelligence including management of intelligence processes, goals and Startegies, structures and human resourses, tools, cycles were conceptualized. By a conceptual framework relationships of the main dimensions and their sub dimensions were presented .Structured and semi structured interviews ,expert workshops were performed to design the appropriate roadmap model including different layers ,connection of layers and critical milestones based on the theoretical framework. For evaluation, the model was customized for a national level high technology based organization (action planning) and then implemented .Based on action results the model was corrected and revised .As conclusion a conceptual framework for roadmap designing was recommended