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The paper's aim is to build a model that predicts the optimum tactics for capitalizing on inventions within the context of competitive interaction among large firms. For patenting, the paper seeks to show how invention value and firm rivalry drive the tactics of competing, deterring competitors, retreating from markets, and cooperating. It also aims to explore the effects of the contingencies of patent bulking, technology complexity, spheres of influence, resource similarity, and complementary‐resource tacitness.

The work is conceptual.

The base model shows that patenting can be used to protect markets where there is high invention‐value and high rivalry. When both invention‐value and rivalry are low, the best tactic is to cooperate. When value is high and rivalry low, patenting can be used as a signaling and deterring mechanism, but when value is low and rivalry is high the best option is to let patents lapse and retreat from markets. The moderating effects of patent bulking, technology complexity, spheres of influence, resource similarity, and complementary‐resource tacitness affect rivalry and the amount of patenting that will be done.

The paper provides propositions for empirical testing that are predictive of firm performance, rivalry, and patent bulking. Despite the authors' attention to key contingencies, it is impossible to be completely comprehensive in addressing all contingencies.

The framework provides tactics for competing and, consequently, maximizing income and minimizing costs.

The work synthesizes extant thinking on patents and multipoint competition. While the base model should be valuable for managers, the overall work should be valuable for academics.

In recent years patents have become a very popular data source for forecasting technological changes. However, since a vast amount of patents are “worthless” (Moore, 2005), there is a need to identify the promising ones. For this purpose, previous approaches have mainly used bibliographic data, thus neglecting the benefits of textual data, such as instant accessibility at patent disclosure. To leverage these benefits, this study aims to develop an approach that uses textual patent data for predicting promising patents.

For the identification of promising patents, the authors propose a novel approach which combines link prediction with textual patent data. Thereby the authors are able to predict the emergence of hitherto unmentioned bigrams. By mapping these future bigrams to recent patents, the authors are able to distinguish between promising and nonpromising patents. To validate this approach, the authors apply the methodology to the case example of camera technology.

The authors identify stochastic gradient descent as a suitable algorithm with both a receiver operating characteristic area under curve score and a positive predictive value of 78%, which outperforms chance by a factor of two. In addition, the authors present promising camera patents for diverse application fields, such as cameras for surgical systems, cameras for rearview vision systems in vehicles or light amplification by stimulated emission of radiation detection and ranging cameras for three-dimensional imaging.

This study contributes in at least three directions to scholarship. First, the authors introduce a novel approach by combining link prediction with textual patent analysis and, in this way, leverage the benefits of both worlds. Second, the authors add to all theories that regard novel technologies as a recombination of existing technologies in presenting word combinations from textual data as a suitable instrument for revealing recombination in patents. And third, the approach can be used by scholars as a complementary or even integrative tool with conventional forecasting methods like the Delphi technique or Scenario planning.

At least three practical implications arise from the study. First, incumbent firms of a technology branch can use this approach as an early-warning system to identify technological change and to identify opportunities related to their company’s technological competence and provide inspiration for new ideas. Second, companies seeking to tap into new markets may also be interested in the approach as managers could anticipate whether their company’s technological competences are in line with upcoming trends. Third, the approach may be used as a supportive tool for various purposes, such as investment decisions or technology life cycle analysis.

The approach introduces textual patent data as suitable means for forecasting activities. As the statistical validation reveals, the promising patents identified by the approach are cited significantly more often than patents with less promising prospects.

Understanding a technology’s patent landscape, including patent strategies, helps organizations position themselves regarding their innovation and provides insight about a technology’s future direction. This study aims to provide an overview of the blockchain technology patenting trends and outlines an exploratory framework of patenting strategies for blockchain.

A total of 3,234 registered patents are analyzed to determine the geographical distribution and identify key actors patenting around the globe. In addition, an empirical study consisting of multiple case studies in the form of ten in-depth interviews with owners/managers of organizations based in North America was conducted to understand organizations’ strategies for patenting the blockchain technology.

Several novel insights regarding the strategies are used for blockchain technology patenting. For example, the existence of strong anti-patent sentiment which results in a lack of patenting by start-up organizations or has led to a form of open source patenting strategy. Larger organizations appear to be patenting defensively, and small to medium organizations are primarily patenting to defend their competitive advantage.

Start-up organizations harboring anti-patent sentiment should consider the open-source patenting strategy to ensure that the collaborative innovation network can continue. They should also consider collaborating with other actors within the network to have a competitive position in the market.

To the authors’ knowledge, this paper is the first to conduct an empirical study with organizations currently using the blockchain technology to understand patenting strategies used for blockchain.

The literature on R&D races suggests that noncolluding firms invest excessively in R&D. We show that this result depends critically on the winner-take-all assumption. Although rents continue to be dissipated once the winner-take-all assumption is relaxed because firms in general fail to provide the optimal R&D effort, the mechanisms behind this rent dissipation change with the degree of patent protection. We then illustrate how the patent system can be used to elicit the optimal R&D effort.

The purpose of this paper is twofold: firstly, to identify the factors that are capable of influencing the value of a technological asset that is exchanged in the context of a business transaction and, secondly, to identify the direction of the relationship between each factor and the technological asset value.

First of all, an in‐depth analysis of the available literature about the assessment of technological asset value was conducted. Then a panel study was organised, involving several intellectual property managers and consultants and senior practitioners working in the field of IP assessment. Finally, an illustrative case study was conducted.

The paper proposes a framework that encompasses the following classes of factors: asset related; firm related; context related; risk related; and transaction related. It is shown that these factors are capable of influencing the value of a technological asset that is exchanged in the context of a business transaction and the direction of their impact is indicated.

The paper is believed to be a useful instrument capable of supporting managers and appraisers who, in the context of a specific business transaction involving the exchange of a technological asset between the counterparts, are called to assess its value.

The value of a technological asset is typically estimated through monetary techniques (cost, income and market methods) that often turn out to be disappointing in practice. This is mainly due to their quantitative nature, that impedes them to appropriately take into account qualitative variables capable of affecting the value of the asset. This paper is the first attempt, to the best knowledge of the authors, that draws together these variables in a comprehensive form and suggests the direction of their impact on the asset value.

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.

As a resource input in enterprise technological innovation, patents play an important role in influencing innovation performance. The purpose of this paper is to investigate the impact of fuzzy front end (FFE) patent management on innovation performance, and the mediating role of patent commercialization and the moderating effect of technological lock-in.

This paper adopts a questionnaire survey from a sample of 203 high-tech Chinese enterprises across multiple industries. Structural equation modeling and the hierarchical regression method were used to test the hypothesis.

The results show that the FFE of patent management, namely, patent acquisition and patent protection, positively affect innovation performance. Specifically, patent commercialization mediates the relationship between FFE patent management and innovation performance. Moreover, technological lock-in moderates the relationship between patent management and innovation performance.

This study puts forward suggestions relating to institution innovation and mechanism innovation for effective patent management in firms, and provides some guidelines for firms to efficiently utilize patents to improve innovation performance.

This paper provides certain empirical evidence for the study of organizational structure, strategic management, and knowledge governance. As the main participators in technology innovation, high-tech enterprises should utilize both inside and outside resources to acquire patents.

The classic distinction between two types of organizational learning – exploitation and exploration – has been unsettled under new forms of workplace regulation. This paper investigates management practices that exploit by exploring, capturing, and enclosing employee efforts (including learning) that occur beyond the formal enterprise. Life itself or bios is put to work. This largely unpaid work is of increasing importance to organizations that require employee qualities it cannot provide on its own accord. Three types “free work” are identified: free time, free self-organization, and free self-development. A critical sociological explanation of this trend is developed and its implications for employment studies discussed.

This chapter explores in-depth the particularities of the luxury travel industry during the coronavirus pandemic. The chapter begins with a literature review on the concept of the experience referred to as luxury travel, followed by a brief overview of the measures adopted globally in the tourism sector for the prevention of COVID-19. Due to the impact of the crisis, high-net-worth individuals (HNWIs) have changed their motivations, preferences and behaviour. To meet the new demands prompted by the pandemic, the luxury travel industry has adopted a wide range of strategies that have been classified into three groups: (1) reducing new moments of friction; (2) experiencing protection and (3) building new memorable experiences. A selection of examples from the luxury travel industry illustrates each category. The chapter ends with a case study that describes the strategy adopted by Fiji to respond to the pandemic. The manner in which Fiji has tackled the pandemic may be inspiring for other tourism-dependent destinations as Fiji has been able to protect the health and safety of the inhabitants of its islands while preserving the local economy, which relies on tourism.