Keeping abreast of technology-driven business model evolution: a dynamic patent analysis approach

All firms that depend on technology for their competitive positions recognise that keeping abreast of technology-driven business model evolution is of vital importance. However, previous studies cannot offer a concrete way of profiling trends owing to the lack of quantitative data and systematic processes. We propose a dynamic patent analysis that can identify complex relationships among business method patents and visualise trends in technology-driven business model evolution. At the heart of the suggested approach is morphological analysis (MA) for structuring different types of business models at a technological attribute level and modified formal concept analysis (FCA) for investigating technological changes in business models over time. A case study of business method patents concerning electronic shopping is presented to show the feasibility of the proposed approach. We believe our method can promote consensus-building on up-to-date trends in technology-driven business model evolution, serving as a starting point for a more general model.     

Anticipating technology-driven industry convergence: evidence from large-scale patent analysis

ABSTRACT

Industry convergence has been the subject of many prior studies, yet most have focused on certain domains based on ex post evaluation. This study presents a systematic approach to anticipating technology-driven industry convergence using large-scale patent analysis covering all technology fields. Our approach includes patent co-classification analysis with the concordance between patent classes and industrial sectors to measure technological relations between industries; centrality and brokerage analysis to identify the specific roles of technology fields in industry convergence; and finally link prediction analysis to anticipate technology-driven industry convergence. A case study with the patents issued by the United States Patent and Trademark Office from 1976 to 2014 confirms that our approach provides a holistic and forward-looking perspective on technology-driven industry convergence.     

Using patent analysis to establish technological position: Two different strategic approaches

Discussions on business strategy formation in the past 50 years can be separated into two categories: the inside-out and the outside-in approach. Technology is a critical factor when manager formulate their business strategy, and patents have served as an important indicator of technology. A patent portfolio can be used to understand the capabilities of a firm, as an inside resource pattern; and the patent citation of firms can be used to find the relationship of a firm, as an outside dependency. This study uses patent information to establish an effective model for the technological position of business methods. The 5 by 6 matrix was generated and four situations between firms were induced. Researchers and managers can use that matrix and situations to recognize the real competitors or cooperators, and formulate the technological strategies which include competition, cooperation, or complementary cooperation.     

Monitoring trends of technological changes based on the dynamic patent lattice: A modified formal concept analysis approach

The strategic importance of monitoring technological changes is highlighted given the ever faster pace and increasing complexity of technological innovation. In this respect, patent citation analysis has been the most frequently adopted tool among others. However, patent citation analysis is subject to certain drawbacks that stem from only consideration of citing-cited information and time lags between citing and cited patents. This study proposes a formal concept analysis (FCA)-based approach to developing a dynamic patent lattice that can analyze complex relations among patents and monitor trends of technological changes. The FCA is a mathematical tool for grouping objects with shared properties based on the lattice theory. The distinct strengths of FCA, vis-á-vis other methods, lie in structuring and displaying the relations among objects from a massive amount of data. For the purpose of technology monitoring, the FCA is modified to take into account time periods and changes of patent keywords. A patent context is first constructed with the aid of domain experts and text mining technique. Two types of dynamic patent lattices are then developed by executing the modified FCA algorithm. A case study of laser technology in lithography for semiconductor manufacturing shows that the suggested dynamic patent lattice has considerable advantages over conventional patent citation maps in terms of visualization and informative power.     

EFFECTS OF STRENGTHENING INTELLECTUAL PROPERTY RIGHTS IN NEWLY INDUSTRIALIZED ECONOMIES: EVIDENCE FROM TAIWAN'S 1994 PATENT REFORM

Does strengthening intellectual property rights (IPR) in terms of a longer patent life induce more patents? This article investigates the responses of high‐technology firms to Taiwan’s 1994 patent reform. Empirical analyses reveal that firms’ patenting propensity rose gradually before patent reform and showed an increase after patent reform, tending to support the viewpoint that stronger IPR can induce more patents. However, this cannot lead to lasting effect. Furthermore, patenting capability can serve as the access ticket for potential entrants to a science park under the circumstance of stronger IPR protections. These new entrants are found to have a better post‐entry performance in patenting relative to the incumbents in the short run. (JEL O14, O31)     

Coupling relationships and synergistic mechanisms between technology management capability and technological capability in product innovation: a simulation study

ABSTRACT

This paper focuses on the dynamic co-evolution of technology management capability and technological capability in the system of product innovation. It is motivated by the increasing attention that product innovation has received recently, as it is considered one of the most important factors that can bring about competitive advantages for firms to compete with their rivals in the current competitive business environment. Framing the system of product innovation as a complex adaptive system and focusing on the roles of technology management capability and technological capability in the system, the most suitable synergistic mechanisms between technology management capability and technological capability that can make the system reach the highest fitness under their diverse coupling relationships are identified by means of NK fitness landscape model. The simulation results show that there are matches between the coupling relationships among the elements of technology management capability and technological capability and their synergistic mechanisms in the system of product innovation. This paper provides a better understanding of the relationships between technology management capability and technological capability and managerial implications for firms to innovate products successfully and promptly and thus improve their competitive advantages.     

A semantic analysis approach for identifying patent infringement based on a product–patent map

Identifying patent infringement beforehand is highly important for reducing the risk of damages. However, as the approach to patents is changing from the technological and legal approaches of the past to the business approach, strategic patent infringement litigation and securement of patents can be important tools for companies. From various viewpoints, companies can consider an aggressive patent infringement litigation as well as evasion strategy of patent infringement litigation to keep competitors in check. Previous research on patent infringement identification only considered the possibility of infringement between patents. However, infringement cases between patent and product are prevalent. Thus, this research aims to suggest an automated method for identifying patent infringement between the patent and product in business. To this end, this paper proposes the subject–action–object (SAO) semantic technological similarity-based product–patent method for generating infringement maps. Several indices and subgrouping methods are suggested to interpret the map. As an exemplary case, data on technology and products related to the light emitting diode (LED) lamp are collected and exploited.     

Information technology innovation in India: The top 100 IT firms

Patents serve as an indicator of the innovation capability of countries, industries, or firms. Many Indian firms are in a transition to move from labor intensive segments to areas with higher value added which has been reflected in this research. The purpose of this study is to analyze patents issued during the period of 1997–2009 from the European Patent Office database and the United States Patent and Trademark Office database from the top one hundred Indian information technology firms. This study represents a novel empirical look at information technology industry innovations in India. A comprehensive set of statistical patent analyses are presented to provide practitioners with valuable knowledge to assist in business strategic planning.     

广西汽车产业技术创新能力分析——基于专利信息分析的视角

本文从专利信息分析的角度出发,对广西汽车产业技术创新能力进行了剖析,揭示了广西汽车产业存在专利拥有量少、专利价值低、核心专利少且分散、优势技术地位不牢、技术创新能力薄弱等问题。针对这些问题,并结合广西的实际情况,提出了提升广西汽车产业技术创新能力的若干对策。     

Roadmapping a disruptive technology: A case study: The emerging microsystems and top-down nanosystems industry

If technological roadmapping is important in the process of rapid technology commercialization, and if a method tailored to roadmapping nascent disruptive technologies does not exist, and if these very same disruptive technologies portend to be the future economic engines for firms, countries, and regions, then there is cause for concern. This article seeks to shed some light on the process in industrial disruptive technology roadmapping by focusing on the fundamental differences between sustaining and disruptive technologies. This article investigates the utility of theoretical and practitioner traditional technology roadmapping tools in an international industrial roadmapping effort focusing on microtechnology and top-down nanotechnology. I then modify the traditional technology roadmapping approaches generating a model for an industrial worldwide disruptive technology roadmapping process. I utilize the International Industrial Microsystems and Top-Down Nanosystems Roadmap (IIMTDNR) effort, which included nearly 400 people, from nearly as many firms, from over five continents and was developed over a 5-year period. The IIMTDNR process is used to provide the basis for a model for a commercial disruptive technology roadmapping process.     

广西有色金属产业技术创新能力研究——基于专利信息分析的视角

本文从专利信息分析的角度,对广西有色金属产业的技术创新能力进行分析。揭示了广西有色金属产业专利申请量少、技术含量不高、失效专利较多,企业技术创新能力较低等问题。结合广西"千亿元产业重大科技攻关工程"实施方案,从知识产权战略的角度,提出了增强广西有色金属产业技术创新能力的若干对策。     

Do firms with larger patent portfolios create more new plant varieties in the US agricultural biotechnology industry?

This article is an empirical analysis of the relationship between patent ownership and variety innovation for US agricultural biotechnology firms in the years 1976–1999. Counts of new varieties include corn, soybean, or wheat varieties protected by either patents or plant variety protection certificates, while patent portfolio size is defined as the count of a firm's gene and method patents. Negative binomial regression results indicate that firms with larger patent portfolios did not exhibit scale economies in variety creation nor did firms with wider technological diversity in their patent portfolios create significantly greater numbers of new varieties. However, firms experienced positive spillover effects from rival firms’ patent ownership, and patent ownership increases this effect. Sample firms that have merged in the past do not produce significantly greater numbers of new varieties after considering an increase in portfolio size and did not experience greater economies of scale in creating new varieties compared with firms that experienced no past mergers.     

Innovation strategy and the patenting behavior of firms

This paper investigates whether firms’ innovation strategies affect their patenting behavior, as measured by both the probability of having a patent portfolio and the number of active patents held. Three main dimensions of an innovation strategy are taken into account: the relative importance of basic research, applied research and development work in total R&D activities, the product or process orientation of innovation efforts, and the extent to which firms enter into collaborative R&D with other institutions. The major findings can be summarized as follows: (1) taking into account the various dimensions of an innovation strategy turns out to approximate the patenting behavior of firms better than the traditional Schumpeterian hypotheses related to firm size and market power; (2) there is a positive relationship between the patent portfolio of firms and an outward-oriented innovation strategy characterized by R&D partnerships with external organizations - scientific institutions and competitors in particular; (3) process-oriented innovators patent less than product-oriented innovators; (4) a stronger focus on basic and applied research is associated with a more active patenting behavior; (5) firms that perceive high barriers to innovation (internal, risk-related or external barriers) have smaller patent portfolios; (6) the perceived limitations of the patent system do not significantly influence the patenting behavior, suggesting that firms patent for other strategic reasons than merely protecting innovation rents.     

Exploring potential R&D collaboration partners through patent analysis based on bibliographic coupling and latent semantic analysis

The aim of the present research is to provide a new systematic methodology to explore potential Research and Development (R&D) collaboration partners using patent information. The potential R&D collaboration partners are visualised as a patent assignee level map based on technological similarity between patents by using the network analysis. The proposed framework utilises two analytic methods to measure technological similarity. The first method, bibliographic coupling analysis, measures technological similarity based on the citation relationship using patent bibliographic information. Second, latent semantic analysis is utilised based on semantic similarity using patent textual information. The fuel cell membrane electrode assembly technology field is selected and applied to illustrate the proposed methodology. The proposed approach allows firms, universities, research institutes and governments to identify potential R&D collaborators as a systematic decision-making support tool.     

Discontinuous innovation capability accumulation in latecomer natural resource-processing firms

Most of the studies that describe the building of innovation capability in emerging and developing economies have focused on the ways in which latecomer firms develop continuously towards advanced capability levels along existing technological trajectories, particularly for the assembled products industries, especially in Asia. A slightly different approach is adopted herein by focusing on pathways of discontinuous capability building of firms in natural resource-processing industries. By drawing on evidence from a variety of case studies taken from 13 forestry, pulp, and paper firms in Brazil in the period 1950-2007, it was found that: (1) in contrast with the majority of case studies reported in the literature, the pathways followed by firms in their accumulation of innovation capability involved a qualitative departure from the established technological trajectory at an early stage in the development of their capability; (2) the pathways of firms along the new technological trajectories were nevertheless characterised by a high degree of variability (from intermediate to world leading innovators) in terms of the levels and speeds of the accumulation of innovation capability; (3) firms that have attained progressively higher levels of innovative performance have more rapidly developed a combination of internal and external research-based arrangements in order to undertake increasingly complex, but firm-centred innovation efforts. This paper sheds some light on some of the discussions that relate to the role of natural resources in the patterns of industrial progress and growth in those countries endowed with particular natural resource-based industries. It also provides a methodological contribution to the study of the long-term innovation strategies that make use of the dynamics of capability building, especially within natural resource-processing industries.     

Knowledge technological proximity: evidence from US and European patents

The purpose of this paper is to explore the correlation between the technological proximity measures in three areas: USA, Japan and the Europe. In each economic area, we use information from two international patent systems to construct the technological proximity for 240 large international firms. In particular, we select firms’ patents from United States Patent and Trademarks Office data and European Patent Office data. In order to compute the technological proximity, we follow the methodology developed by Jaffe [1986. “Technological Opportunity and Spillovers of R&D: Evidence from Firms’ Patents, Profits and Market Value.” American Economic Review 76 (5): 984–1001], where a technological vector is based on the distribution of patents of each firm across technology classes. Since the Jaffe distance assumes that spillovers only occur within the same technology class, but rules out spillovers between different classes, we develop also a distance measure which exploits the Mahalanobis norm to identify the distance between different technology classes based on the frequency that patents are taken out in different classes by the same firm. The contribution to the existing literature is to investigate the robustness of the technological proximity measure and the extent to which it may be affected by patent system features.     

Technological and geographical proximity effects on knowledge spillovers: evidence from the US patent citations

The purpose of this paper is to investigate the pattern of knowledge flows as indicated by the patent citations in three areas: USA, Japan and Europe. In each economic area, we use information from United States Patent and Trademarks Office data to assess empirically the impact of the technological and geographical proximities for 530 international firms. In particular, the contribution to the existing literature is twofold: first, we use an international sample in such a way that we may compare the empirical results among different economic markets; second, we extend the analysis of the determinants of knowledge spillovers, taking into account the time dimension of the effects of the proximities. In order to compute the technological proximity, we follow the methodology developed by A.B. Jaffe (1986 Jaffe, A. B. 1986. Technological opportunity and spillovers of R&D: Evidence from firms’ patents, profits and market value. American Economic Review, 76(5): 984–1001. [Web of Science ®] , [Google Scholar]. Technological opportunity and spillovers of R&D: Evidence from firms’ patents, profits and market value. American Economic Review 76, no. 5: 984–1001), where a technological vector is based on the distribution of patents of each firm across technology classes. As far as the geographic proximity is concerned, we use the latitude and the longitude coordinates of the city in which each firm is situated to obtain the distance, in miles, between the firms. The empirical results, in line with results from previous studies, indicate that there is a statistically significant relationship between the knowledge flows, proxied by the patent citations, and the proximities, but the effects are rather differentiated according to the proximity type.     

Using a distance measure to operationalise patent originality

We introduce a distance measure to operationalise Trajtenberg, Henderson, and Jaffe’s [1997. “University Versus Corporate Patents: A Window on the Basicness of Invention.” Economics of Innovation and New Technology 5: 19–50] originality construct (an ex-ante indicator of firms’ technological capabilities). Our measure captures (1) technological diversity, (2) technology distance from patent antecedents, and (3) degree of novelty per each patented innovation. The V-score measure uses the Derwent World Patent Index system to classify technologies hierarchically – making similarities and differences pronounced. Power is gained by using all of the technology-classification codes describing a focal patent’s claims when calculating whether its technology space was incrementally different or radical from those of its antecedent patents (and identifying whether its technology-class code combinations were commonplace at the time when the patent application was made). Our V-score’s prediction of firms’ performance is contrasted with Hall, Jaffe, and Trajtenberg’s [2001. Hall, B. H., A. B. Jaffe, and M. Trajtenberg. 2001. The NBER Patent Citations Data File: Lessons, Insights and Methodological Tools. NBER Working Paper No. 8498] Herfindahl measure of the same originality construct. Results indicate that the distance measure of technological content produces differently signed results when evaluating patents’ performance effects or predicting a firm’s trajectory.     

A systematic approach to identify core service technologies

In spite of the importance of service technologies in the service industry, they have not been analysed systematically. In response, this study proposes a new approach to identify core service technologies. At first, the technological interrelationship matrices from the perspectives of intensity, relatedness, and cross-impact are constructed with support, lift, and confidence values calculated by conducting an association rule mining on the co-classification information of business method patent data. The analytic network process is applied to the constructed technological interrelationship matrices in order to produce the importance values of service technologies from each perspective, considering their direct and indirect interrelationships. Data envelopment analysis is then employed to the derived importance values in order to identify core service technologies, putting three perspectives together. The proposed approach can be utilised for both firms’ planning of service technologies and service innovation policy-making of governments.     

An analysis of factors improving technology roadmap credibility: A communications theory assessment of roadmapping processes

In recent years, many industrial firms have been able to use roadmapping as an effective process methodology for projecting future technology and for coordinating technology planning and strategy. Firms potentially realize a number of benefits in deploying technology roadmapping (TRM) processes. Roadmaps provide information identifying which new technologies will meet firms' future product demands, allowing companies to leverage R&D investments through choosing appropriately out of a range of alternative technologies. Moreover, the roadmapping process serves an important communication tool helping to bring about consensus among roadmap developers, as well as between participants brought in during the development process, who may communicate their understanding of shared corporate goals through the roadmap. However, there are few conceptual accounts or case studies have made the argument that roadmapping processes may be used effectively as communication tools. This paper, therefore, seeks to elaborate a theoretical foundation for identifying the factors that must be considered in setting up a roadmap and for analyzing the effect of these factors on technology roadmap credibility as perceived by its users. Based on the survey results of 120 different R&D units, this empirical study found that firms need to explore further how they can enable frequent interactions between the TRM development team and TRM participants. A high level of interaction will improve the credibility of a TRM, with communication channels selected by the organization also positively affecting TRM credibility.