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The development of innovations in all the research and development (R&D) fields is leading to a huge increase of patent data. Therefore, it is reasonable to foresee that, in the next future, Big Data-centered techniques will be compulsory to fully exploit the potential of this kind of data. In this context, network analysis-based approaches are extremely promising. The purpose of this paper is to provide a contribution to this setting. In fact, the authors propose a well-tailored centrality measure for evaluating patents and their citations.

The authors preliminarily introduce a suitable support directed network representing patents and their citations. After this, the authors present the centrality measures, namely, “Naive Patent Degree” and “Refined Patent Degree.’” Then, the authors show why they are well tailored to capture the specificities of the patent scenario and why classical centrality measure fails to fully reach this purpose.

The authors present three possible applications of the measures, namely: the computation of a patent “scope” allowing the evaluation of the width and the strength of the influence of a patent on a given R&D field; the computation of a patent lifecycle; and the detection of the so-called “power patents,” i.e., the most relevant patents, and the investigation of the importance, for a patent, to be cited by a power patent.

None of the approaches proposing the application of centrality measures to patent citation networks consider the main peculiarity of this scenario, i.e., that, if a patent p_i cites a patent p_j, then the value of p_i decreases. So, differently from classical scientific paper citation scenario, in this one performing a citation has a cost for the citing entity. This fact is not considered by all the approaches conceived to investigate paper citations. Nevertheless, this feature represents the core of patent citation scenario. The approach has been explicitly conceived to capture this feature.

In the intellectual property (IP) and management literature, the question of how external patent attorneys impact patent filings has been understudied. The purpose of this paper is to advance this area of research by examining how the use of external patent attorneys influences the patent filing strategies of firms and what impact firms’ level of experience with the exclusive use of in-house resources has on filing strategies. This study, thus, provides insights into the strategic dimension behind patent filing, a process which is affected by patent attorneys’ work and decision-making processes.

The econometric analysis is based on a patent database of 922,553 patents which is combined with an EPO patent database covering applications from 1990 to 2010. The authors test the hypotheses for this study using patent indicators addressing the impact of in-house firm experience vs the use of external patent attorneys on firm’s filing strategy.

This research finds empirical evidence that external patent attorneys’ work has an effect on patent scope, international scope, and patenting speed. Moreover, it can be shown that external patent attorneys have a positive impact on most filing dimensions, such as patent scope, international scope and the Patent Cooperation Treaty option, whereas the level of in-house firm experience has a negative impact on most filing dimensions. This implies that external patent attorneys seem to pursue a “maximization approach” while experienced firms seem to pursue a more differentiated approach to filing patents, for instance, drafting narrower and more focused patents.

The study suggests that effective filing strategies require an integrated approach between diverse IP stakeholders. More particularly, filing strategies should be communicated and aligned between all actors, including external patent attorneys in order to achieve the targeted patenting output.

The current study develops a patent filing typology, which accounts for patent attorneys’ decision options. In providing insights into patent attorneys’ work and their impacts on intellectual property rights management, the study is a useful complement to prior research, which has predominantly focused on applicants or examiners.

The purpose of the paper is to advance a framework that can assess and analyze the value of patent portfolios. On this purpose, the framework develops a conceptual and comprehensive index, the patent portfolio value index (PPVI), to assess the patent innovation level and suggest economic-strategic guidelines.

The authors have designed and applied a framework that synthesizes into a single index the results of a multiple criteria approach, based on information derived from quantitative objective data (claims, citations, and market coverage), information related to qualitative determinants (strategic positioning and economic importance), and information derived from decision makers’ perceptions and judgments.

The authors have applied the PPVI to the 3,532 patent portfolio documents in an Italian worldwide player in aerospace and defense market. The combined analysis, provided by the PPVI and a qualitative synoptic representation, has made it possible to understand the strategic positioning and alignment of patents with the core business of the company. The results of the analysis have provided managers with the necessary suggestions regarding action items to be performed: to reinforce, license, try to dismiss, or sell some of the examined patents of the portfolios.

The PPVI supplies a quick procedure to ascertain the profitability of patents and accounts for the value of a patent portfolio from an internal business perspective.

As it is built and defined, the PPVI shows elements of novelty compared to the other indexes existing in the literature, in that it follows a multiple criteria approach by merging quantitative and qualitative information.

Globalization should provide firms with an opportunity to leverage their know-how and reputation across countries to create value. However, it remains challenging for them to actually capture that value using traditional Intellectual Property (IP) tools. In this paper, we document the strong growth in patents, trademarks, and industrial designs used by firms to protect their IP globally. We then show that IP protection remains fragmented; the quality of IP applications might be questionable; and developing a comprehensive IP footprint worldwide is very costly. Growing numbers of applications are causing backlogs and delays in numerous Patent and Trademarks Offices and litigation over IP rights is expensive, with an uncertain outcome. Moreover, local governments can succeed in transferring value to local firms and influencing global market positions by using IP laws and other regulations. In essence, the analysis shows a global IP environment that leaves much to be desired. Despite these challenges, there are successful strategies to capture value from know-how and reputation by leveraging an array of IP tools. These strategies have important implications for management practice, as we discuss in our concluding section. Global companies will need to organize cross-functional value capture teams focused on appropriating value from their know-how and reputation by combining different institutional, market, and nonmarket tools, depending on the institutional and business environment in a particular region.

The embedding of digital technology and the fuzzy organizational boundary have changed the operation of platform innovation ecosystem (PIE). Specifically, as an important energy of PIE, the internal logic of knowledge flow needs to be reconsidered in the context of digital age, which will be helpful to select the cultivation and governance strategy of PIE.

A dual case-analysis is applied to open the “black box” of knowledge flow in the PIE from the perspective of enabled by digital technology, by taking the intellectual property (IP) operation platform as cases.

The research findings are as follow: (1) The knowledge flow mechanism of PIE is mainly demonstrated through the processes of knowledge acquisition, knowledge integration and knowledge spillover. During this process, connectivity empowerment and scenario empowerment realize the digital empowerment of the platform. (2) Connectivity empowerment provides a channel of knowledge acquisition for the digital connection between participants in PIE. In the process of knowledge integration, scenario empowerment improves the opportunities for accurate matching and collaborative innovation between knowledge supplier and demander, and enhance the value of knowledge. The dual effect of connectivity empowerment and scenario empowerment has accelerated the knowledge spillover in PIE. Particularly, connectivity empowerment expands the range of knowledge spillover, and scenario empowerment affects the generativity of the platform, resulting in the enhancement of platform’s capability to embed and expand its value network. (3) Participants have been benefitted from the PIE enabled by digital technology through three key modules (knowledge acquisition, knowledge integration and knowledge spillover), as the result of knowledge flow.

This study focuses on the knowledge flow mechanism of PIE enabled by digital technology, which enriches the PIE theory, and has enlightenments for the cultivation of digital platform ecosystem.

The intelligent connected vehicle (ICV) is an important trend in automobile development, but little research has been conducted on the technological differences in the ICV industry across countries. In this regard, the authors select China, the United States (US) and the European Union (EU) as countries with developed ICV industries to reveal these differences based on the perspective of subdivision technology.

The authors use logistic regression to fit lifecycles at technology level and country level based on ICV-related patents from China, the US and the EU, then use the Revealed Technological Advantage (RTA) index, Fast-Growing Specialization Index (FGSI) and International Patent Classification (IPC) numbers to conduct comparison of national technology advantages, finally use the social network analysis to investigate the evolution of characteristics and intermediate nodes of each technology innovation network.

Technology lifecycles vary according to the subdivision technology and country. The global development of the ICV industry has reached the mature stage, and 2030 may be a watershed moment, ushering in a wave of new technology iterations. In various subdivision technologies, China and the US have more leading RTAs, and China and the EU have more leading FGSIs. Innovation networks in different countries expand with technology lifecycles, with that in China being the fastest. China's Universities, the US's enterprises and the EU's research institutes are active in cooperative innovation as intermediaries.

This is the first study to compare the development of the ICV industry in major countries from the perspective of subdivision technology and reveal characteristics of innovation networks in each.

The purpose of the paper is to propose a reference model describing a holistic view of the master data lifecycle, including strategic, tactical and operational aspects. The Master Data Lifecycle Management (MDLM) map provides a structured approach to analyze the master data lifecycle.

Embedded in a design oriented research process, the paper applies the Component Business Model (CBM) method and suggests a reference model which identifies the business components required to manage the master data lifecycle. CBM is a patented IBM method to analyze the key components of a business domain. The paper uses a participative case study to evaluate the suggested model.

Based on a participative case study, the paper shows how the reference model makes it possible to analyze the master data lifecycle on a strategic, a tactical and an operational level, and how it helps identify areas of improvement.

The paper presents design work and a participative case study. The reference model is grounded in existing literature and represents a comprehensive framework forming the foundation for future analysis of the master data lifecycle. Furthermore, the model represents an abstraction of an organization's master data lifecycle. Hence, it forms a “theory for designing”. More research is needed in order to more thoroughly evaluate the presented model in a variety of real‐life settings.

The paper shows how the reference model enables practitioners to analyze the master data lifecycle and how it helps identify areas of improvement.

The paper reports on an attempt to establish a holistic view of the master data lifecycle, including strategic, tactical and operational aspects, in order to provide more comprehensive support for its analysis and improvement.

Aims to provide an overall picture of the current status of business methods in e‐commerce.

A comprehensive comparison of the business models among countries, sectors and companies is conducted. Insightful evidence on the current state of patenting in business models is also provided.

The findings of the paper in, accordance with the USPTO white paper on business methods, show that patent applications being examined in Class 705 strongly reflect the basic software engineering that underlay each invention

This study of business model patents presents information about the character of business method patenting activity and provides valuable insights into the current development of business method technology.

Business leaders can apply key messages as early as today to begin aligning business operations with business strategy to strengthen sustainability. Principles can be applied at all levels in any organization, from the entire enterprise down to discreet product or service offerings. The article emphasizes that the enablers of profitable operations over long periods of time will be internally integrated and networked across industries.

Challenges with sustainability in many existing strategies are explained, and case studies that illustrate both success and failure are described to illustrate key principles. Once the viewpoints are developed and supported with specific cases and research findings, actionable recommendations are made in a prescription for change.

Achieving sustainable profitability and growth is increasingly difficult for many companies because of shorter product lifecycles, eroding intellectual property advantages, and other growing complexities from the broader business environment. When operations are integrated with business strategy, forces align to sustain profitability and the strategy is more difficult to imitate or leap‐frog. Organizational competencies, cross‐industry capabilities and stakeholder integration all play a role in integrated operations.

The importance of integrating operational capabilities with business strategy is explained and the rewards are articulated using real‐world cases, research and industry‐accepted practices. The prescription set forth for change is evident in some of the world's most successful companies that have successfully sustained profitability and growth. Enterprises that integrate their operations with strategy both across functions and throughout entire product lifecycles will increasingly be rewarded by investors, applauded by customers, and envied by competitors.

This paper aims to forecast the future of data storage technologies, using the case of two major technologies driving the data storage world; hard disk drive (HDD) or conventional longitudinal recording and flash memory.

Four principal tools of forecasting technology are applied to present the coming future of data storage technologies. These tools consist of bibliometric trend analysis, patent trend analysis, technology cycle time (TCT), and growth curve. Numbers of publications each year and cumulative patents are used to analyze the future of these competitive technologies. The median age of the patents is applied to find the technology lifecycle of both technologies. Finally, areal density of HDD is plotted on the growth curve to forecast the saturation point of researching on conventional longitudinal recording.

The results produced from utilizing these tools indicate that these two technologies are continuously under development. It is found that the growth of improving areal density of conventional recording will be nearing zero by year 2013 and the maximum growth rate of development was in year 2006.

The forecasting is based on principal technologies of conventional longitudinal recording of HDD. Also, NOR and NAND are considered as two main technologies dominating flash memory. Other emerging data storage technologies such as holographic data storage, phase‐change memory (PCM) are not included in this paper. Likewise, the growth curve of flash memory is not analyzed as part of this paper.

This paper forecasts the future of data storage technologies. Integration of scientific indicators and growth curves is demonstrating a powerful tool for forecasting technology futures.