Disruptive Technological Innovation Research Articles

Don’t overdo it with blockchain – understanding the impact of blockchain on users’ security perception

PurposeBlockchain technology has been labeled as the most disruptive technological innovation of the current decade due to its impact on almost every major industry. Based on privacy calculus theory and prior adoption literature on emerging technologies, this research investigates the impact of blockchain technology in the consumer technology segment. It elaborated on the mechanism through which blockchain technology influences users’ willingness to share information with technology products enabled by blockchain.Design/methodology/approachTaking a heterogeneous pool of users, this study conducted multiple experiments with the application of blockchain (vs. regular database) technology to high (vs. low) sensitive data to study the impact of blockchain perception on users’ information-sharing tendencies.FindingsThrough a mediated moderation analysis, the result shows that the use of blockchain technology enhances the sense of security among users. However, the impact of this heightened sense of security only develops a higher willingness to share information when the data is highly sensitive.Practical implicationsThe research reflects on the perception of blockchain technology and the leading impact on willingness to share information with firms. This could be a critical criterion for determining investment in blockchain technologies for consumer products, particularly based on the sensitivity of the data the consumer is sharing.Originality/valueThis research focuses on the perception of blockchain technology among consumers and its impact on consumers’ decision-making related to their data sharing. People have a higher sense of safety when it comes to blockchain-enabled products. However, we find that it would not be the same for all contexts, and the sensitivity of the data collected would have an impact on this relationship and consumers’ data-sharing decisions.

EU digital law and the digital platform economy—an inquiry into the co-evolution of law and technology

AbstractEU digital policy is currently one of the most ambitious and far-reaching endeavors to regulate the digital economy. Online platforms in multisided markets with digital ecosystems lie at the heart of digital technologies and business models. Among others, they pose new challenges with regard to the abuse of a dominant market position, thus ultimately reducing competition and innovation. This paper outlines an evolutionary approach to the co-evolution of law and technology with collective cognitive constructs and wealth effects as essential drivers (Eckardt (2001, 2008). It is then applied to the evolution of EU law in this field. After an overview of the evolution from telecommunication monopolies to the current digital platform economy, a case study presents firstly the Google Search (Shopping) case (2010–2024). Based on traditional EU competition law, it resulted in gradual judge-made legal innovation. It also generated new knowledge about the shortcomings of the ex post approach of EU competition law when applying it to the digital platform economy. As a consequence, secondly, the introduction of the Digital Markets Act (DMA) (2020 onwards) as a radical statutory innovation is discussed. The DMA introduced a novel ex ante regulation for large online platforms to overcome the problems of traditional EU competition law. Finally, the paper reflects on the impact of wealth effects and the (co-evolving) cognitive constructs of the relevant players as drivers in this current example of the co-evolution of law and technology. The paper concludes with an outlook on further areas of empirical and conceptual research that can provide a better understanding of the co-evolution of law and technology and allow for better policies in regard to disruptive technological innovation.

The prospect of the application of human body visualization metaverse in the field of surgery

As 2021 is known as the "first year of the metaverse", the concept of metaverse is promoting a multi-field innovation revolution on a global scale. The new experiences and technologies it brings are expected to provide solutions for the difficulties in the field of human visualization surgery in disease diagnosis, preoperative planning, surgical treatment, medical education, health management and patient experience. This opens up opportunities for the next wave of disruptive technology innovation. This paper proposes a new concept of "human visualization metaverse", and summarizes its innovative application, future development direction and challenges to promote the research and development of human visualization metaverse,and to explore the application potential of metaverse technology in the field of surgery to advance the research and development of the metaverse for human visualization.

The Impact of Intellectual Property Protection on Technological Innovation - A Literature Review Incorporating New Quality Productive Forces in the Chinese Economy

Abstract: This article explores the impact of intellectual property (IP) protection on technological innovation, particularly concerning Chinas recent emphasis on high-quality productivity. The paper reviews existing literature, discussing the differences in the effects of IP protection between developed and developing countries. This literature review shows that strengthened IP protection has a positive impact on technological innovation in China, but with a nonlinear relationship. The concept of new quality productive forces focuses on achieving high levels of quality and promoting disruptive technology innovation. Combining this concept, this article analyzes the influence of IP protection on its development and provides specific policy recommendations. Future studies should focus on empirical analysis to assess the actual effectiveness of IP protection within the existing policy framework. Appropriate evaluation systems are suggested to establish, and IP laws should be gradually improved so as to effectively facilitate Chinas technological innovation and industrial advancement.

Inovação Tecnológica de Ruptura do Ministério da Defesa

The article "Disruptive Technological Innovation of the Ministry of Defense" explores the importance of technological innovation, especially in the context of the Brazilian Armed Forces. Innovation is seen as an essential driver for improving the efficiency and effectiveness of defense operations. The text distinguishes between incremental and disruptive technological innovation, emphasizing that disruptive innovations have the potential to radically transform the sector's capabilities. The article also discusses the need for effective collaboration between government, academia, and industry to promote significant innovations. Examples of innovation models from countries like the USA and France are presented as valuable lessons for Brazil. Furthermore, the importance of a robust Research and Development (R&D) sector in companies is highlighted to absorb and adapt new technologies. The development of disruptive innovations is considered crucial to meet the specific needs of the Armed Forces and to promote technological advancement throughout the national economy.

Global strategies for disruptive technology protection and regulation: evidence from policy textual analysis

ABSTRACT Disruptive technology (DT) has the power to reshape markets and societal structures, necessitating both protection and regulation. This paper aims to examine DT protection and regulation strategies at both micro and macro levels through policy texts. We construct an analysis framework integrating Responsible Research and Innovation (RRI) principles, innovation theory, and DT growth process. Key measures are extracted by content analysis, and dynamic topic model is used to discover evolving policy focuses. The framework is applied to analyze DT policy files of major powers. The results indicate that supply-side policy tools are employed to promote sustainable development in DT innovation, while environmental tools are utilised for early governance to preempt potential risks and innovation damage. The focuses of DT policies exhibit three evolution trends: attenuation, reinforcement, and fluctuation. Protective policies show concentration and coherence, while regulatory policies demonstrate integration and correlation. This study broadens existing perspectives and analytical frameworks, providing valuable insights for DT development and governance.

Digital Economy, Green Dual Innovation and Carbon Emissions

The digital economy serves as a pivotal catalyst for sustainable and eco-friendly development. This study employs a suite of advanced econometric models, including the fixed effects, mediation, threshold and moderation model, to elucidate the intricate dynamics by which the digital economy influences carbon emissions through the lens of green innovation. Building on the existing research on digital economy, green technology innovation and carbon emissions, this paper takes a dual-innovation perspective and divides green technology innovation into disruptive green technology innovation and incremental green technology innovation. And from the government and the public level, it explores how social concerns affect the effect of digital economy on carbon emissions. The analysis is grounded in a comprehensive dataset encompassing a decade of provincial-level data from 2011 to 2021 across China’s 30 provinces. The benchmark regression outcomes indicate the digital economy’s ability to substantially cut down carbon emissions; the threshold effect and mediating effect models demonstrate that a single-threshold effect exists and that disruptive and progressive green technological innovations mediate such ability. Additional research reveals that the digital economy’s impact on carbon emissions could be positively moderated by public and governmental attention. Eastern and western regions in China, as well as those with high levels of foreign investment and low levels of technological transaction activity, are more affected by the digital economy in terms of carbon emission reduction. Our conclusions offer practical recommendations for digital economy’s coordinated advancement and carbon emissions mitigation, and guide local governments to achieve sustainable development goals (SDGs).

Revolutionizing energy practices: Unleashing the power of artificial intelligence in corporate energy transition

Corporate energy transition is crucial for long-term sustainable development. The widely discussed Artificial Intelligence (AI), as a disruptive technological innovation, is highly potential for enhancing environment performance. However, the specific impact of AI on the process of corporate energy transition and its underlying mechanisms have not been fully explored. This study focuses on A-share listed corporates in Shanghai and Shenzhen stock markets in China spanning from 2011 to 2021. Based on corporate annual report information and information from over 200,000 patent application texts, we innovatively construct indicators for corporate energy transition and AI technology application. Furthermore, we empirically investigate the impact of AI technology on corporate energy transition and its potential mechanisms through combining information asymmetry theory and institutional theory. The empirical results indicate that: 1) AI can drive corporate energy transition and the promoting effect of AI collaborative innovation on corporate energy transition should not be ignored. 2) AI can help corporates achieve energy transition through pathways such as mitigating information asymmetry, reducing financing constraints, adjusting sustainable development concepts and practices. 3) The driving effect of AI on corporate energy transition varies depending on the characteristics of different types of corporates, industries, and regions. This study provides strategic guidance and decision support for business managers and policymakers, assisting both corporates and governments in better utilizing AI technology during the social energy transition process to achieve a dual optimization of environmental and economic goals.

Spatiotemporal Phenomenology of Disruptive Technological Innovations in Future Industries

Spatiotemporal Phenomenology of Disruptive Technological Innovations in Future Industries

Development of a method framework to predict network structure dynamics in digital platforms: Empirical experiments based on API networks

Digital ecosystems reinforce the commercial achievements of digital innovations, providing organizations with platforms to implement digital products by sharing, co-developing, and using application programming interfaces (APIs) as digital resources. The use of APIs in digital ecosystems formulates dynamic API networks that evolve with the emergence of APIs and their updates. API network dynamics are associated with disruptive technology, heterogeneous networks, product and service innovation, and entrepreneurial success. However, methods for measuring and predicting API network dynamics have not been developed. We developed a framework for measuring and predicting the API network dynamics generated by APIs. To develop the abovementioned framework, we invented three network embeddings that could represent and measure API network dynamics and a prediction model based on a deep learning approach that could forecast API network dynamics. We conducted multiple experiments to assess the performance and usability of our method framework, and the results consistently demonstrate that our developed approach surpasses existing methods.

The Study of the Relationship among GCI, GII, Disruptive Technology, and Social Innovations in MNCs: How Do We Evaluate Financial Innovations Made by Firms? A Preliminary Inquiry

This study aims to assess and identify the role of disruptive/digital technologies in financial innovation strategies as part of social innovations at both the firm and country level. The analysis proposed by the present study brings useful theoretical/pragmatic insights on the application of financial technologies in the context of the “fintech” revolution, as a disruptive innovation. There are few studies of this type that “cross-examine” technical/social innovative capacity at the firm level vs. the same innovative capacity at the level of the world’s major countries. Our proposed study brings some novel elements to the literature on this topic. First, the study synthesizes the factors/variables explaining technical/social innovative capacity as ranked by the GCI (Global Competitiveness Index) and GII (Global Innovation Index) at the country level and then correlates informal/empirical variables with the factors explaining innovative capacity for the 50 companies in the BCG (Boston Consulting Group) ranking. Second, the study identifies three “driving forces” (digital technologies, managers, and the market) as the main variables determining financial innovativeness (fintech revolution) at the firm level. Third, based on the “over-cross assessment” (non- statistical) of the information/data provided by the BCG study vs. the GII and GCI studies, the study suggests some ways to delineate and quantify financial innovation as part of social innovation (e.g., it is argued that up to 80% of the social innovation achieved annually by a firm relates to the financial relationships engaged by the firm with various categories of stakeholders). Finally, the study is also important from a pragmatic point of view as it suggests/proposes a number of principles that can be considered by managers for building a KM (knowledge management) and continuous financial innovation strategy. From a theoretical perspective, the study provides a starting point for further research aimed at explaining firm-level financial innovation (fintech as a disruptor) through the massive use of disruptive technologies.

Political skills, job resources, and career adaptability of R&D personnel

ABSTRACT R&D employees play a critical role in improving organisational creativity and innovation. However, they often face significant career risks when disruptive technological innovations emerge. Therefore, understanding the development of R&D employees’ career adaptability is an important area of research. This study proposes a research model that examines the direct effect of political skills on the career adaptability of R&D employees, with job resources functioning as a mediating variable in this relationship. By analysing two waves of survey data collected from 262 R&D employees in large firms in South Korea, the study develops a formative second-order construct of political skills and demonstrates its positive impact on the career adaptability. Furthermore, this study reveals that job resources mediate the relationship between political skills and career adaptation. This research contributes to the field of human resource management (HRM) for R&D employees and innovation studies by highlighting the socio-political foundation of innovation activities within organisations and emphasizing the importance of political skills in facilitating both career transition and the utilisation of job resources.

Research on the evolution of disruptive technological innovation cooperation network: a case study of blockchain and automatic driving technology

ABSTRACT Overcoming technological R&D barriers and market diffusion pressures through innovative cooperation is an important channel in the evolution of disruptive technologies. Aiming at the evolution of disruptive technological innovation cooperation network, this paper combines technology life cycle theory with social network analysis method, the overall evolution and individual evolution characteristics of disruptive technological innovation cooperation network are analysed. The research results show that in the life cycle, disruptive technology has the characteristics of latent in the early stage and explosive after maturity. In terms of overall evolution, the scale of disruptive technological innovation cooperation network is expanding, but the cohesion and small-world level are decreasing, the intensity of knowledge exchange and information transmission is declining. About the core subject, there is a synergistic dynamic mechanism between the market and the government. In the evolution of cooperation model, it shows the development trend from poor cooperation model to exploring cooperation mode and cultivating cooperation mode. The research conclusion enriches and expands the theoretical research in the field of disruptive innovation, and can provide inspiration for the policy design and management optimisation of disruptive technological innovation cooperation network.

Dynamic capabilities in environmental entrepreneurship: A framework for commercializing green innovations

Environmental entrepreneurship has tremendous potential to deliver radical and disruptive technology innovation that can safeguard our biosphere. However, we lack insights into how green ventures can cultivate dynamic capabilities that allow these ventures to thrive. The existing dynamic capability framework does not adequately capture the unique challenges and opportunities facing early-stage green ventures. Consequently, in this study we ask: what are the micro-foundations underpinning dynamic capabilities in early-stage green ventures? How are these dynamic capabilities cultivated? How do these dynamic capabilities correspond to and co-develop with external factors in flux when disruptive green innovation is commercialized? This paper is based on an exploratory case study of 14 ventures developing green innovations in the biofuel, bioenergy, biochemistry, and biomaterial sectors. Our study conceptualizes the micro-foundations of dynamic capabilities related to sensing, seizing, and reconfiguring capabilities. Moreover, it develops a detailed and comprehensive framework of dynamic capability building for early-stage green ventures, which links internal dynamic capability building processes with influential external factors in flux.

The Need of Integrating Digital Education in Higher Education: Challenges and Opportunities

Although it existed in a few different forms earlier, digital education is essentially a modern invention. It is the digitalization of a segment of the educational system. This article attempts to offer insightful thoughts on the future potential and difficulties of information and communication technology (ICT) and digital education as they relate to adopting the most recent technological advancements in the digital era and extensive online open courses. With the development of internet technology, we have observed a significant shift in how we communicate and collaborate among academics. The digital revolution encouraged unrestricted access to information on a global scale. Today’s classrooms are equipped with a wealth of ICT tools, and almost all instructors have made significant progress in integrating digital technology to improve students’ access to information and cooperative learning opportunities. The higher education system must seek to utilize the power of ICT to be competitive and provide high-quality education as a consequence of digital transformation, disruptive technological innovations, and accelerated change. To accomplish these ambitions, this paper describes some challenges that higher education encounters, as well as technological resources and methodologies they have used in the current scenario to transform higher education to adopt digital transformation. The paper aims to synthesize considerable insights that can be applied to the digitalization of higher education in the current and near future.

Introduction to the special issue on mobility, climate change, and economic inequality

Introduction to the special issue on mobility, climate change, and economic inequality

Adoption of novel biomarker test parameters with machine learning-based algorithms for the early detection of sepsis in hospital practice.

We aim (i) to redesign sepsis's clinical pathway and fit the organizational requirements of a novel machine-learning algorithm incorporating a novel biomarker test and (ii) to assess adoption drivers of the new combined technology. There is an urgent need to achieve sepsis' early detection and diagnostic excellence. A qualitative study based on semi-structured interviews conducted at the target site and across other Italian hospitals. A content analysis was undertaken, emergent themes were selected and categorized, and interviews were conducted until saturation was reached. Sixteen nurses (10 at the target site and six across other hospitals) and nine non-nursing professionals (seven at the target site and two across other hospitals) were interviewed. An organizational redesign was identified as the primary adoption driver. Even though nurses perceived workload increase related to the machine-learning component, technology acceptability was relatively high, as the standardization of tasks was perceived as crucial to improving professional satisfaction. A novel business-oriented solution based on machine learning requires interprofessional integration, new professional roles, infrastructure improvement, and data integration to be effectively implemented. Lessons learned from this study suggest the need to involve nurses in the early stages of the design of new machine-learning technologies and the importance of training nurses on sepsis management through the support of disruptive technological innovation.

Crack the Cross-border Network Governance Path of Disruptive Technology Innovation

Disruptive technology innovation is a process in which technologies, products or services are initially inferior than those provided by incumbents in the attributes that mainstream consumers value, but they can attract and satisfy the consumers in low-end or new markets with advantages in performance attributes (such as being cheap, simple, or convenient) that these consumers value but which at the same time are neglected by mainstream markets. At the same time, this paradigm can be applied on higher levels (i.e. by international business corporations or/and governments for political and economic decision-making processes). In order to make the research on disruptive innovation more comprehensive, we built up a multilevel theoretical framework of influence factors for disruptive innovation, and we proposed the level of analysis of disruptive innovation into five levels. In this paper, we propose a case study for evaluating governance models based on the cross-border region (CBR) among three countries. The results show that CBI and CBC have shaped opportunities for environmental governance and for governance models in other sectors. The CBGS framework can be used for measuring and evaluating the CBG according to the evaluation criteria and elaborate some recommendations. This framework could contribute to further systematic analyses and research of disruptive innovations in the future and can provide reference for policy-makers to successfully predict disruptive innovation.

Blockchain as a cutting-edge technology impacting business: A systematic literature review perspective

As one of the most disruptive technological innovations, blockchain technology has received extensive attention from academia and industry. Although many scholars have reviewed the existing blockchain research, most of the previous review articles focused on the application of technology or blockchain in specific industries or scenarios, and lacked a comprehensive review of the application of blockchain technology in the business field. Based on a systematic literature review approach and cluster analysis, this study quantitatively analyzed 2830 papers obtained from the Web of Science to fill this gap. By constructing a three-layer research framework, this research enumerates the infrastructure and protocols of blockchain technology in detail, and on this basis develops a three-subjects value creation model. The model highlights that business value can be created from transactions, crypto-economic models, and analytical and automated processes in the interaction of organizations, individuals, and technologies. Different blockchain-based applications solve different kinds of economic problems, including information storage/sharing, consensus generation and governance. This study expands the blockchain literature and deepens our understanding of how blockchain technology affects organizations and individuals in the business world. The newly proposed research framework can inspire practitioners and managers to discover opportunities for business model innovation. This work provides a solid research foundation and practical guidance for academics and practitioners who are interested in blockchain-based business.

Modeling Consumer’s Switching Intentions Regarding 5G Technology in China

Switching from current technology to disruptive technology entails advantages, sacrifices, and a variety of other considerations that are not encountered in the case of 5G technology. Therefore, this paper investigates consumers’ intention to shift to 5G in the light of disruptive technology innovation. An extended value-based adoption model (VAM) was used to examine the user’s switching intentions (SIs) from 4G (Existing) technology to 5G (Disruptive) technology. The proposed model was examined on data set from 361 Chinese users using the partial least squares-based structural equation modeling (PLS-SEM) technique. The outcomes illustrate the significant correlation between perceived switching benefits (PSBs) and perceived switching sacrifices (PSSs) on perceived sustainability values (SVs), which further impacts users’ SIs. Furthermore, the findings show that users perceived agility (PA) and absorptive capability (AC) moderates and encourages SIs. These findings have important implications for theory and practice. The outcomes of this research will be helpful to telecoms firms in developing consumer retention strategies. Some limitations and future research directions are also explored for scholars.