Competitive Technical Intelligence Research Articles

Analysis of the Research Overview and Frontier Trend of Competitive Technical Intelligence Research Abroad

Analysis of the Research Overview and Frontier Trend of Competitive Technical Intelligence Research Abroad

Bilingual Textual Similarity in Scientific Documents

Maps of science visualizing the structure of science help us analyze the current spread of science, technology, and innovation (ST&I). ST&I enterprises can use the maps of science as competitive technical intelligence to anticipate changes, especially those initiated in their immediate vicinity. Research laboratories and universities can understand their environmental changes and use the map for their research management. However, traditional maps based on bibliometrics, such as citation and cocitation, have difficulty in representing recently published papers and ongoing projects that have few or no references; thus, maps based on contents, i.e., text-mining, have been developed in recent years for locating research papers/projects, for example, using word and paragraph vectors. The content-based maps, however, still pose difficulty in comparing documents in different languages. Therefore, aiming to construct a bilingual (English and Japanese) content-based map of science for the analyses of ST&I information resources in different languages, this article proposes a method for creating word and paragraph vectors corresponding to bilingual textual information in the same multidimensional space. In a comparison of 11 methods for generating document vectors, we confirmed that the best method achieved 87% accuracy of the bilingual content matching based on 10$\,$000 IEEE papers. Finally, we published a map of approximately 150$\,$000 funding projects of the National Science Foundation, Japan Society for the Promotion of Science, and Japan Science and Technology agency from 2013 to 2017.

Mapping the Technological Landscape to Accelerate Innovation

The quality of an innovative idea and the likelihood that it will lead to a successful new product or service is directly related to the quality of the information that is used to generate the idea and assess its value. Ideas based on a poor understanding of the underlying need or technologies that might be used to address that need will rarely succeed. An assessment of market attractiveness based on faulty estimates of customer readiness for your innovation and current or potential competitors’ activities and their likely response to your offering is a high-risk effort. To successfully innovate, organizations need to have the best information possible to support their development efforts and up-to-date information on the eternal factors affecting an innovative project’s success so they can decide whether it is worth continuing. Competitive Technical Intelligence (CTI) is a branch of Competitive Intelligence (CI) that provides those developing new technologies, products, and services the information required to make better project selection decisions by ensuring the organization has the best information possible on customer needs, technology options (including using external collaborations to speed development and manage risk), and the competitive environment. CTI continues to provide value throughout the development process by alerting project managers to changes that might affect the attractiveness of a project under development. While CTI shares many tools and approaches with other forms of CI, it has special characteristics that call for a different way of managing the intelligence collection and analysis. Specifically, it is common to supplement the CTI staff’s capabilities in ways not often found in other types of CI by leveraging the interest, knowledge, and skills of their users, the technical staff. Drawing on over half a century of research on technology forecasting and innovation, and several decades of the author’s working with organizations to establish CTI programs, this article outlines where and how CTI can help organizations enhance their innovative efforts.

COMPETITIVE TECHNICAL INTELLIGENCE: USING PATENT DATA TO DETERMINE SMART CITY TRENDS

The aim of this paper is to define a method for uncovering smart city technology trends using competitive technical intelligence processes focused on intellectual property analysis using data visualisation. The authors introduce ways of gathering relevant core bibliographic data on the desired technology together with search preparation and query building. For demonstration purposes, the authors have used the European Patent Office datasets. The aim of this paper is to define a method for smart city competitive intelligence analysis focused on the main innovative companies and organizations and specific technology trends. The time period between the years 1997 and 2017 is used. Based on the results, the authors have indicated that Samsung is the leader in intelligent city innovations in this period. Five main product invention categories were also identified.

Data Analytics for Better Informed Technology & Engineering Management

Many fields are managing better by incorporating advanced data analytics—e.g., even sports such as baseball. We illustrate with a novel set of indicators that distinguish cutting edge R&D activity to provide competitive technical intelligence on “who's doing what, where, and when.” Our aim is to stimulate your thinking about what data analytics could help you achieve your technology management goals more effectively.

Why you should be interested in intelligence studies

In this issue most articles are reflections (bibliometrics, scientometrics) on what has been done in intelligence studies in business (IS) and more particularly in competitive intelligence (CI) and business intelligence (BI), so some reflections and analysis on the subject proper seems to be appropriate for thesenotes. Almost all articles in IS (CI, competitor intelligence, market intelligence (MI), BI, and competitive technical intelligence (CTI)) are empirical contributions that show how to work more effectively with need to know information in business. Authors submit empirical articles that solve new and specific problems.It can be a new method, the introduction of a new model or the application of some new technology.

Research on the Structure Model of Competitive Technical Intelligence Cooperation Performance from Resource -Capacity Perspective

On the basis of analyzing the status quo about Competitive Technical Intelligence (CTI) cooperation, from the resource-based theory, core capacity theory and dynamic capacity theory, analyzing the path to get advantage resource and strength the competition ability of R&D alliance, according to the CTI working process, in order to the information flow and value chain as the main line, CTI cooperation performance model from resource-capacity perspective is given, and dimensions of ascending ability and value creation of CTI cooperation performance are interpreted and analyzed.

Information Needs in Competitive Technical Intelligence

In this paper, the importance of CTI for the innovation management of companies will be discussed, including the barriers, the core structure of the CTI unit and a proper search process from top management to concrete research outputs. To begin with, we need to define the environment where the innovation activities are being conducted. In the second part, we put CTI in the organizational framework of the companies, and in the third part we discuss the importance of information needs focused on innovative companies.

Technology roadmapping for competitive technical intelligence

Understanding the evolution and emergence of technology domains remains a challenge, particularly so for potentially breakthrough technologies. Though it is well recognized that emergence of new fields is complex and uncertain, to make decisions amidst such uncertainty, one needs to mobilize various sources of intelligence to identify known–knowns and known–unknowns to be able to choose appropriate strategies and policies. This competitive technical intelligence cannot rely on simple trend analyses because breakthrough technologies have little past to inform such trends, and positing the directions of evolution is challenging. Neither do qualitative tools, embracing the complexities, provide all the solutions, since transparent and repeatable techniques need to be employed to create best practices and evaluate the intelligence that comes from such exercises. In this paper, we present a hybrid roadmapping technique that draws on a number of approaches and integrates them into a multi-level approach (individual activities, industry evolutions and broader global changes) that can be applied to breakthrough technologies. We describe this approach in deeper detail through a case study on dye-sensitized solar cells. Our contribution to this special issue is to showcase the technique as part of a family of approaches that are emerging around the world to inform strategy and policy.

Evaluating the Impact and Value of Competitive Intelligence From The users Perspective - The Case of the National Research Council’s Technical Intelligence Unit

Understanding and being able to measure and prove the impact and value of intelligence is of significant importance. The objective of this study was to develop an evaluation instrument that the users of intelligence could fill in that could be used to assess both the impact and value of the intelligence they received. Starting with an evaluation instrument based on lists of benefits identified in the competitive intelligence literature, measures of these benefits and client satisfaction/service quality metrics, the study researchers interviewed clients of one large government competitive technical intelligence organization asking them to articulate the benefits they obtained from the intelligence they received and methods for evaluating these benefits. All users of intelligence identified benefits they had received from the intelligence received. Additional benefits beyond those that are in the current literature were identified by those interviewed. In terms of measurement of these benefits, intelligence users (the clients) understood why hard financial type measures for example ROI or dollar impact on performance was important (especially in their organization) they felt that assessing these for the intelligence they received would be difficult but that softer, more subjective measurement such as extent to which the user agrees that the intelligence provided the intended benefit could be used. Additional perceptual based indicators of service quality and customer satisfaction measures were also suggested by intelligence clients. Based onthe results of the literature review and interviews, an intelligence evaluation instrument was developed that asks the clients to assess the extent to which they have realized one or more of 27 impacts identified in this study as well as assessing 10 elements of service quality.

Technical Intelligence Approach: Determining Patent Trends in Open Die Forging

Open die forging is an important process for alloys and steels present in a variety of industries, such as in the aerospace industry, construction, mining and general machinery. During the forging process several wear mechanisms occur: thermal fatigue, plastic deformation, mechanical fatigue, etc. causing quality damage and economic losses. Academy and industry are devoting significant efforts to confront this situation where research acquires a key role. Under this context the objective of our research is to apply patent analyses as part of a Competitive Technical Intelligence methodology on open die forging. In particular, a keyword-based patent analysis and a patent citation analysis were develop

How to combine term clumping and technology roadmapping for newly emerging science & technology competitive intelligence: “problem & solution” pattern based semantic TRIZ tool and case study

Competitive technical intelligence addresses the landscape of both opportunities and competition for emerging technologies, as the boom of newly emerging science & technology (NEST)--characterized by a challenging combination of great uncertainty and great potential--has become a significant feature of the globalized world. We have been focusing on the construction of a "NEST Competitive Intelligence" methodology that blends bibliometric and text mining methods to explore key technological system components, current R&D emphases, and key players for a particular NEST. This paper emphasizes the semantic TRIZ approach as a useful tool to process "Term Clumping" results to retrieve "problem & solution (P&S)" patterns, and apply them to technology roadmapping. We attempt to extend our approach into NEST Competitive Intelligence studies by using both inductive and purposive bibliometric approaches. Finally, an empirical study for dye-sensitized solar cells is used to demonstrate these analyses.

Triple Helix innovation in China’s dye-sensitized solar cell industry: hybrid methods with semantic TRIZ and technology roadmapping

In recent years, the Triple Helix model has identified feasible approaches to measuring relations among universities, industries, and governments. Results have been extended to different databases, regions, and perspectives. This paper explores how bibliometrics and text mining can inform Triple Helix analyses. It engages Competitive Technical Intelligence concepts and methods for studies of Newly Emerging Science & Technology (NEST) in support of technology management and policy. A semantic TRIZ approach is used to assess NEST innovation patterns by associating topics (using noun phrases to address subjects and objects) and actions (via verbs). We then classify these innovation patterns by the dominant categories of origination: Academy, Industry, or Government. We then use TRIZ tags and benchmarks to locate NEST progress using Technology Roadmapping. Triple Helix inferences can then be related to the visualized patterns. We demonstrate these analyses via a case study for dye-sensitized solar cells.

What Motivates Brazilian Academic Researchers to Transfer Technology?

The paper presents basic concepts on nanotechnology and the use of this in an oil and gas research and development (R&D) center, the Research and Development Center Leopoldo Americo Miguez de Mello of Petrobras (CENPES). The aim of this paper is to present a proposal of an observatory of trends in the area of nanotechnology at CENPES, to generate information, such as the state of the art technologies, technological trajectories, movements of competitors and partners, and aspects relating to regulations and incentives for decision making in the technology management process. The model consists of five steps that should occur in a continuous cycle: literature review, expert consultation, analysis of opportunities and threats, timelines or roadmaps, and monitoring. In conclusion, the proposed observatory includes a set of topics (variables), sources, techniques of competitive technical intelligence and technological foresight, systematized in order to support decision making in technology management.

Applying patent analysis with Competitive technical intelligence: the case of Plastics

This article presents a methodology that integrates patent analysis in a study of Competitive Technical Intelligence. Our approach was applied in the area of plastics. We identified areas of research, leading companies and technology trends.

Methodology of Integration for Competitive Technical Intelligence with Blue Ocean Strategy: Application to an exotic fruit

This article presents a new methodology that integrates Competitive Technical Intelligence with Blue Ocean Strategy. We explore new business niches taking advantage of the synergy that both areas offer, developing a model based on cyclic interactions through a process developed in two stages: Understanding opportunity that arise from idea formulation to decision making and strategic development. The validity of our approach (first stage) was observed in the evaluation of an exotic fruit, Anacardium Occidentale, in the South of the State of Veracruz, Mexico with the support of the university ITESM, Campus Monterrey. We identified critical factors for success, opportunities and threats. Results confirm the attractiveness of this crop.

Competitive Technical Intelligence Tools for Innovation and Technology Forecasting

Competitive Technical Intelligence is a systematic process focused on monitoring the competitive and technical environment of an organization for the purpose of better decision making in the areas of technology innovation, technology forecasting, product design, research and development (R&D), which can be used from investment tactics to managing technology risks to adopting long-term business strategies. Technology innovation can sometimes be forecast emotionally and empirically. Though emotional involvement with a product or process can help in the initial growth stage, it ultimately acts as a barrier when desperation and frustration inevitably crop up. On the other hand, moving to information and knowledge-based processes of forecasting prevents such emotional challenges. This article focuses on eight popular tools used for systematic approach to technology forecasting and the emerging methods of Competitive Technical Intelligence.

Study on Early Warning of Competitive Technical Intelligence Based on the Patent Map

The patent documentation has a higher technical value than the general scientific documents. Through analyzing the content of technical intelligence of patent documentation, enterprises may find out some effective solutions, having access to new ideas about Research and Development (R&D) and avoiding existing patent landmines at the same time. In this paper, with the help of database Derwent Innovations Index (DII) and the corresponding software-Thomson Data Analyzer(TDA), a series of patent maps of Web2.0 technologies were built up through basic statistical analysis, trend analysis and correlation analysis. These patent maps could offer important reference value for the R&D activities of enterprises.

The integrative domain of foresight and competitive intelligence and its impact on R&D management

R&D takes years to come to fruition, thus choosing R&D programs should be set in the context of the environment that will exist at the time that research is completed. Foresight and competitive intelligence are two fields that seek to address future oriented environmental scanning. The paper looks at what the domains of foresight and competitive intelligence entail and in particular how competitive technical intelligence can work to integrate and enable competitive agility in foresight positioning. Focus is put on reviewing literature that addresses how foresight impacts R&D project selection. A review is made on foresight programs from around the world based on a recently completed study on Canada's foresight capacity. The authors conclude that agile organizations need to be adaptive and well prepared for tomorrow's challenges and so by integrating competitive technical intelligence, (typically oriented to business needs) with strategic technology foresight, (typically designed to address government priorities for technology investments and innovation policy issues), enterprises will be best positioned to address uncertainties in the technology cycle.

<b>オープン・イノベーション時代におけるCTI</b>

企業が国際競争力を維持していくためには，持続的なイノベーションが不可欠である。企業はグローバル競争が激化する中で，研究開発のあり方も大きく変化してきた。過去に定型とされた研究開発のリニアモデルの「中央研究所時代の終焉」とオープン・イノベーションの新しい時代の研究開発マネジメント方法論が議論されている。グローバル競争の激化と製品・技術のライフサイクルの短縮化により，研究開発に投じる資金・人材・技術などの経営資源が，全てを一企業で賄うことが困難な状況になった。企業は産学連携、外部機関の活用などオープン・イノベーションの重要性は認識されつつある。その場合，競合または潜在的競合と連携する場合もあり，ライバル企業と自社の技術力を比較し，競合する企業の技術情報に関る収集・分析・評価する一連の分析プロセスと理論を体系化したコンペティティブ・テクニカル・インテリジェンス（Competitive Technical Intelligence, CTIと略す）手法の活用が重要である。本論文では，オープン・イノベーションを中心とした新たな研究・開発のあり方とその傾向に注目し，半導体先端技術産業の研究開発企業に焦点を当って，戦略的技術提携の構築と外部技術の活用において，CTIの意義と重要性を明らかにすると共に，CTIはどのように活用するかについて考察を行う。最後に企業の技術戦略構築に必要な競争優位性の確保について議論するものである。