Disruptive Technological Innovation Research Articles

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.

Contributions to scenario methodology from approach to sociotechnical transitions: a theoretical-methodological essay

ABSTRACT Scenario methodology is complex, with numerous derivative approaches and variations. Although, its multiple techniques and tools make it possible to analyze problems considered ‘wicked’ – of low probability and high impact. Given this, our theoretical-methodological essay initially describes the premises and compares the features of the scenario Schools: Intuitive-Logics, Probabilistic Modified Trends, and La Prospective. The interfaces and complementarities among the methods applied for the scenarios and the approach of sociotechnical systems (STS) are made explicit in order to highlight their theoretical contributions to qualify the rigorous operationalisation of the definition of scenarios, considering the particularities of each School. Our effort provides insights that enhance the use of the scenario methodology to contextualise scientific investigations in a complex, uncertain, and dynamic environment, characteristic of contemporary society, in which disruptive technological innovations encourage the occurrence of phenomena that find theoretical support in the approach of sociotechnical transitions.

Metamorphosing Indian Blockchain ecosystem

A blockchain is a decentralised database that is shared across computer network nodes. A blockchain acts as a database, storing information in a digital format. The study primarily aims to explore how in the future, block chain technology will alter several areas of the Indian economy. The current study aims to obtain a deeper understanding of blockchain technology's idea and implementation in India, as well as the technology's potential as a disruptive financial technological innovation. Secondary sources such as reports, journals, papers, and websites were used to compile all the data. Current and relevant information were utilised to help understand the research goals. All the information is rationally organised to fulfil the objectives. The current research focuses on recommendations for enhancing India's Blockchain ecosystem so that it may become one of the best in the world at utilising this new technology.

Standard setting in times of technological change: accounting for cryptocurrency holdings

PurposeThis paper explores how the International Accounting Standards Board (IASB) has dealt with the emerging issue of accounting for cryptocurrencies by investigating its constituents' expectations and the motivations underlying its regulatory response.Design/methodology/approachThe theoretical lens of regulatory space is used to analyse the four-year debate around cryptocurrency holdings and informs the extensive thematic analysis of public documents, meetings recordings and comment letters on the topic.FindingsFacing national standard setters' initiatives to regulate accounting for cryptocurrency, the IASB defended its position in the regulatory space through an agenda decision based on ewct 2xisting standards, which was finalised by the International Financial Reporting Standards Interpretation Committee (IFRS IC) despite criticism from constituents and Board members.Research limitations/implicationsThe paper provides insights into the IASB approach to a regulatory vacuum regarding a new class of items, which derive from a new and rapidly-evolving technology. Disruptive technology impacts the contested arena of accounting regulation, in which the constituents ask for new solutions and the IASB tries to resist such pressures, while defending its position.Practical implicationsThe paper sheds light on the growing importance of agenda decisions in the IFRS environment and on the limits of the IASB long regulatory process in the circumstance of emerging accounting issues deriving from rapidly-evolving technology.Originality/valueThis investigation is timely and relevant as it considers the regulatory issues arising from disruptive technological innovations (i.e. cryptocurrency), shedding light on the limits of regulatory processes in times of technological change.

The Financial Impact of Patents on SMEs in China: Empirical Evidence from Pharmaceutical Sector

With the disruptive technology innovation time arrival, small and medium-sized enterprises (SMEs) have been the motor of innovation and played an increasingly major role in national economic development. As the shift towards an ‘open innovation’ paradigm, awareness of intellectual property rights has increased, and patents have been an important tool for Chinese pharmaceutical enterprises. Considering its mass production of low-level generic drugs, there are still many arguments about its lack of innovation. This article aims to identify if and how patents, as essential indicators of innovation, generate financial performance measured by SMEs in the pharmaceutical sectors. Patent data are a vital source of competitive intelligence. A positive association was found between annually added patents and gross sales. Many other patent indicators, such as the number of forward citations and patent transfer, were statistically significant. Moreover, the results suggested that there was a one-year lag between patent publication and financial performance. A series of patent quantity and quality indicators have shown significant effects on the financial performance of Chinese pharmaceutical enterprises. These patents generate a positive financial impact, which builds up a solid basis for keeping sustainable innovation capability in the Chinese drug industry.

The Disruptive Effect of Technological Innovation in the Tourist Accommodation Industry

This work focuses on the disruptive effect generated by online tourist accommodation platforms. This technological innovation has brought about changes not only in the tourism industry, but also in the lives of the citizens of host communities. This research analyzes the perception that citizens economically dependent on tourism have the socio-economic impacts linked to the activity of these online platforms. The field work was carried out in Spain in April 2020 by means of a survey in which citizens residing in one of the main tourist cities in the country took part. This analysis has allowed for the construction of four categories of positive impacts and four categories of negative impacts, all linked to disruptive technological innovation in the tourism sector. The most salient impact is related to how citizens economically dependent on tourism assess the changes taking place in the existing business network. This group’s assessment might possibly be the consequence of a shift in the focus of local businesses, which have gone from resident-oriented businesses to tourist-oriented businesses. The most salient impact is related to how citizens economically dependent on tourism assess the changes taking place in the existing business network.

How to Develop a Disruptive Technology?

More and more countries realize that their competitive advantage is closely related to the development of disruptive technology. However, the main barrier to develop disruptive technology is the lack of cultivation mechanism. The purpose of this study is to investigate the cultivation mechanism of disruptive technology innovation. The study finds that the strategy selection, basic research, phased cultivation, seeking and finding limitists are important to the cultivation of disruptive technologies. The paper provides implications for firms or countries to develop disruptive technologies.

Adopting autonomous vehicles: The moderating effects of demographic variables

Autonomous vehicles (AV) are considered one of the most disruptive technology innovations due to issues of customers' acceptance based on safety, ethics, etc. Along with the rapid advancement of smart cities' demand for this technology, getting customer acceptance of this futuristic technology is a serious concern in the AV industry. This paper modified the technology acceptance model to find out factors influencing customers' intention to use AV such as perceived usefulness, perceived ease of use, social influence, and facilitating condition, and the moderating effects of demographic variables (gender, age, family size, income, education level, and marital status) on the relationship between predictors and intention to use AV. Online questionnaires were distributed to 318 participants in South Korea and the data was analyzed through multiple regression and integration moderation test. The findings show that social influence, facilitating conditions, and perceived usefulness are three important variables of AV usage intention. In addition, demographic variables (age, marital status, family size, and educational level) can moderate effect of PU and SI on intention to use AV. Strategic directions are suggested to managers to increase the possibility of customers’ acceptance of AV.