Search

Complex systems often operate in equilibriums that can be disrupted under specific conditions, driving the system to undergo an irreversible phase transition (aka tipping point) into a new equilibrium. Disruptive technology, as introduced in the book Innovator's Dilemma, is a new emerging technology that can successfully displace incumbent technologies and push the market through phase transition into a new equilibrium. In this paper, the authors model the market disruption caused by a disruptive technology as a complex system, with dynamics that show a phase transition or tipping point, after which the system shifts into a new equilibrium aiming at assessing the success or failure of a disruptive technology. The purpose of this study is to mathematically model a tipping point measure of complex networks and a theoretical framework for disruptive technology dynamics. A predator–prey model is used to emulate the behavior of a disruptive technology versus an incumbent technology, and a resilience index is integrated to measure the tipping point in the market where the disruptive technology will overtake the incumbent technology. This methodology is applied to a historical case study of film versus digital versus cell phone cameras, demonstrating the application of this methodology. The study's contribution can be applied to both systems engineering and disruptive innovation management. The proposed approach can help stakeholders assess the impact of a potential new disruptive technology and use the resulting resilience index as a measurement for adjusting technology requirements and systems management approaches to achieve a desired outcome. [ABSTRACT FROM AUTHOR]

AI technology is widely regarded as a key driver of the next digital revolution, following the internet and the rise of digital ecosystems. Reflecting this transformative potential, several Western competition agencies have issued a Joint Statement to proactively 'address any [competition] risks before they become entrenched or irreversible harms.' While their vigilance is warranted, AI technology, particularly generative AI, presents unique challenges. If AI is truly a 'disruptive' force, it operates in markets lacking established benchmarks, making it difficult for both market players and regulators to assess risks conclusively. In these circumstances, the agencies' commitment to addressing risks early, while well-intentioned, may inadvertently deter investment and stifle innovation by signalling a heightened risk of regulatory intervention to the market. [ABSTRACT FROM AUTHOR]

The accelerated expansion of disruptive technologies such as Generative Artificial Intelligence and its progressive application to the different spheres of society have evidenced the enormous transformative potential they possess, but also the great risks derived from their widespread use. On this basis, this article analyzes and reflects on the role that public authorities should play as the only institutions capable of preserving public ethics, public values and the common good in the face of technological development. Thus, the creation of public value and the preservation of public ethics must constitute a frame of reference for placing disruptive technologies at the service of citizens and building appropriate public governance. This proposal therefore reaffirms the importance of public authorities configuring an effective model of social governance of this disruptive technology, which should be understood as a priority aspect on the public agenda. Any other response from public institutions, whether passive, reactive or inhibitory, would jeopardize not only the management of public affairs, but also the very essence of the current representative democratic order.

A perennial challenge for executives in established firms is deciding how and when to respond to emerging technologies. This article demonstrates that the way emerging technologies play out in established industries differs according to how the business system is affected. Some have primarily a supply-side effect (on how a firm in the industry creates its product), while others have a primarily demand-side effect (on how users consume the product). Supply-side effects play out over relatively long periods of time in a predictable way, with incumbent firms executing similar strategies though at different speeds. Demand-side effects are faster-acting and more volatile, with incumbents often experimenting with a range of different business models as they seek a viable way forward in a changing market. By understanding these important differences between supply-side and demand-side effects and being able to anticipate the typical patterns of responses from incumbents, executives can make better choices in how and when to invest in emerging technologies. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) as a disruptive technology is not new. However, its recent evolution, engineered by technological transformation, big data analytics, and quantum computing, produces conversational and generative AI (CGAI/GenAI) and human‐like chatbots that disrupt conventional operations and methods in different fields. This study investigates the scientific landscape of CGAI and human–chatbot interaction/collaboration and evaluates use cases, benefits, challenges, and policy implications for multidisciplinary education and allied industry operations. The publications trend showed that just 4% (n = 75) occurred during 2006–2018, while 2019–2023 experienced astronomical growth (n = 1763 or 96%). The prominent use cases of CGAI (e.g., ChatGPT) for teaching, learning, and research activities occurred in computer science (multidisciplinary and AI; 32%), medical/healthcare (17%), engineering (7%), and business fields (6%). The intellectual structure shows strong collaboration among eminent multidisciplinary sources in business, information systems, and other areas. The thematic structure highlights prominent CGAI use cases, including improved user experience in human–computer interaction, computer programs/code generation, and systems creation. Widespread CGAI usefulness for teachers, researchers, and learners includes syllabi/course content generation, testing aids, and academic writing. The concerns about abuse and misuse (plagiarism, academic integrity, privacy violations) and issues about misinformation, danger of self‐diagnoses, and patient privacy in medical/healthcare applications are prominent. Formulating strategies and policies to address potential CGAI challenges in teaching/learning and practice are priorities. Developing discipline‐based automatic detection of GenAI contents to check abuse is proposed. In operational/operations research areas, proper CGAI/GenAI integration with modeling and decision support systems requires further studies. [ABSTRACT FROM AUTHOR]

Copyright of Revue Française de Gestion is the property of John Libbey Eurotext Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Environmental & Social Management Journal / Revista de Gestão Social e Ambiental is the property of Environmental & Social Management Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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. [ABSTRACT FROM AUTHOR]

Academic translational research efforts to industry are often an underlying sought‐after goal among various researchers. Through the interchanges of research endeavors between academia‐industry, great innovations can/has been achieved that cater to the real‐world application by bridging "industrially relevant" problem solving with pursuing fundamental studies. It is pertinent that most of the studies from university‐level research works may not translate into demonstrable market products due to various reasons. Funding support, individual researcher goals, socioeconomic factors, and most importantly the technical know‐how of generating revenue strategies for startups, are a few of the factors that have slowed the pace of collaborative efforts. However, we believe that the most crucial component is the identification of the critical parameters that solve long‐standing problems that hinder the scale‐up of the lab scale research into marketable products considering the techno‐economic analysis. To illustrate this, we take the three most relevant examples of devices for fuel generation, devices to utilize solar radiation, and devices for detection and other related applications. In this perspective, we provide an in‐depth case study of each of these critical parameters to comment on the direction of research avenues that can serve as step‐stones for the commercialization of university‐level lab research studies. [ABSTRACT FROM AUTHOR]

Although technology development in villages can have undeniable benefits; In some cases, we see the reduction of the effectiveness and efficiency of technology, the waste of villagers' material resources and the villagers' pessimism towards technology used in irrigation systems. The incompatibility of technology with the time and place conditions of the villages has a prominent role in the occurrence of these damages. This research aims to explain the concept and identify indicators of appropriate technology to rural environments, with special emphasis on irrigation systems in rural areas of Taft city, using the qualitative approach of Grounded Theory technique. According to the results, the appropriateness of a technology with the village environment and its effectiveness for the agricultural sector requires the inclusion of all socio-cultural, technical-economic, physical-infrastructural and environmental aspects. The results show that technology in terms of socio-cultural aspect, should be needsoriented while being compatible with the epistemic environment of the village and based on local knowledge. It is also in terms of technical-economic aspect necessary to be scalable, cheap, simple, controllable, durable and standard. In addition, the technology should be compatible with each plant in terms of physical infrastructure and the necessary infrastructure should be provided in the village. The results also show that the technology must be environmentally friendly, consistent with the principles of sustainability and bring the least shock and stress to the agricultural unit. In the paradigm model presented in this research, "Not considering the special conditions of villages", "Not considering the real needs of villagers" and "weakness of facilities and infrastructures" are mentioned as the causal conditions for the introduction of inappropriate technology in the villages. Also, cases such as "small ownership", "monopoly and incorrect relationships", "short life of planning in the rural system", and "weakness of the extension system in introducing appropriate technology" have played an interfering role in intensifying the current situation. This model points to the fact that if strategies such as "shaping the rural technological innovation system" are used, the cycle of generation, diffusion and utilization of appropriate technology in villages can be accelerated. [ABSTRACT FROM AUTHOR]

While disruptive technologies such as augmented reality (AR), virtual reality (VR), and mobile apps hold promise for enriching visitor experiences in heritage tourism, their integration necessitates a nuanced approach to ensure the sustainable development of the sector. This study addresses a critical gap in existing research by exploring this specific synergy within Thailand's unique tourism landscape. Through a comprehensive literature review, the study synthesizes existing knowledge on technology integration in heritage tourism, identifying both potential benefits (AR enhancing historical sites) and risks (overreliance on VR and social media's negative impacts). To bridge this gap and navigate these complexities, the research proposes a set of recommendations for a collaborative and sustainable approach. These recommendations prioritize community engagement, environmental consciousness, ongoing research, and collaborative governance. Additionally, they emphasize preserving the authenticity of heritage sites, ensuring technology serves as a tool for cultural preservation, not exploitation. By adopting these recommendations, stakeholders can leverage technology to create a thriving and sustainable heritage tourism sector in Thailand. This ensures both the safeguarding of the nation's rich cultural heritage for future generations and the creation of innovative and enriching experiences for visitors. [ABSTRACT FROM AUTHOR]

Theoretical and empirical evidence point to the ability of political leaders to manipulate economic policies and leverage local firms to elevate their political careers. Despite this, there is limited understanding of how these career incentives impact the operational dynamics of the firms involved. This empirical study delves into this gap, revealing that city leaders with fewer promotional incentives are more inclined to mobilize state-owned enterprises (SOEs) within their jurisdiction to pursue sustainable development, as indicated by heightened corporate operational efficiency. Our analysis further indicates that the career prospects of city leaders significantly influence the operational efficiency of SOEs by driving a shift in focus from rapid growth to sustainable development and firms' adoption of disruptive technologies. We posit that this increase in operational efficiency not only benefits the SOEs but also generates unique value for stakeholders, resulting in elevated market capitalization and reduced stock price crash risk. Our findings carry direct relevance to the ongoing discourse on political incentives and contribute to operations management research, shedding light on the intricate ways in which the political environment can impact the operational performance of firms. [ABSTRACT FROM AUTHOR]

Large Language Models (LLMs) offer considerable potential to enhance various aspects of healthcare, from aiding with administrative tasks to clinical decision support. However, despite the growing use of LLMs in healthcare, a critical gap persists in clear, actionable guidelines available to healthcare organizations and providers to ensure their responsible and safe implementation. In this paper, we propose a practical step-by-step approach to bridge this gap and support healthcare organizations and providers in warranting the responsible and safe implementation of LLMs into healthcare. The recommendations in this manuscript include protecting patient privacy, adapting models to healthcare-specific needs, adjusting hyperparameters appropriately, ensuring proper medical prompt engineering, distinguishing between clinical decision support (CDS) and non-CDS applications, systematically evaluating LLM outputs using a structured approach, and implementing a solid model governance structure. We furthermore propose the ACUTE mnemonic; a structured approach for assessing LLM responses based on Accuracy, Consistency, semantically Unaltered outputs, Traceability, and Ethical considerations. Together, these recommendations aim to provide healthcare organizations and providers with a clear pathway for the responsible and safe implementation of LLMs into clinical practice.

Contemporary developments in material duplication promise product alternatives that are physically and sensorially indistinguishable from incumbent offerings. When fully realized, such duplicate offerings should obsolete the incumbents as a consequence of wider availability and lower monetary and social costs. Disruption will be impeded, however, if consumers favor incumbent products on the basis of non-material qualities. The authors show that the influence of such qualities depends on both the product category and characteristics of the consumer. In particular, when a creator is central to the product and when the consumer is inclined toward extraordinary beliefs, the influence of origin looms especially large. By contrasting origin and substance, the present research exposes dualistic thinking in consumers' product evaluations, enriches prior research on authenticity and extraordinary beliefs, and contributes to the stubborn problem of technology adoption. [ABSTRACT FROM AUTHOR]

Digital technologies have become omnipresent in our professional and personal lives. While they provide numerous opportunities, they also cause tensions, many of which are paradoxical. They confront us with conflicting yet synergetic and interdependent alternatives that persist over time—such as benefiting from the increasing availability and access to information at the risk of information overload and technostress. Thus far, we know little about the specific paradoxes caused by digital technologies in the workplace and how managers perceive and cope with them. This article offers a comprehensive perspective on the multiplicity and interrelatedness of paradoxes in the digital white-collar workplace and suggests how managers can develop effective coping mechanisms for convergent change and transforming work practices in paradoxical environments. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

This paper investigates the ethical implications of applying open science (OS) practices on disruptive technologies, such as generative AIs. Disruptive technologies, characterized by their scalability and paradigm-shifting nature, have the potential to generate significant global impact, and carry a risk of dual use. The tension arises between the moral duty of OS to promote societal benefit by democratizing knowledge and the risks associated with open dissemination of disruptive technologies. Van Rennselaer Potter's ‘third bioethics’ serves as the founding horizon for an ethical framework to govern these tensions. Through theoretical analysis and concrete examples, this paper explores how OS can contribute to a better future or pose threats. Finally, we provide an ethical framework for the intersection between OS and disruptive technologies that tries to go beyond the simple ‘as open as possible’ tenet, considering openness as an instrumental value for the pursuit of other ethical values rather than as a principle with prima facie moral significance. [ABSTRACT FROM AUTHOR]

The purpose of this study is to investigate that how AI enabled HR practices impact employee task satisfaction and creative willingness. Therefore, an amalgamated research framework is established to determine employee task satisfaction and employee creative willingness with smart HR technology, disruptive technology, task technology interdependence, high performance work system, work environment, resource availability, and leader trustworthiness. Data are collected from employee working in manufacturing firms. In this research survey overall 305 employees have voluntarily participated. Findings indicate that exogenous factors have revealed substantial variance R 2 82.1% in employee task satisfaction. Similarly, task satisfaction and leader trustworthiness have explained R 2 73.4% sizable variance in employee creative willingness. Practically, this study has suggested that smart human resource technology, work environment, leader trustworthiness, and task technology interdependence have shown sizable impact in measuring employee task satisfaction and employee creative willingness and therefore these factors must be considered for managerial implications. This study is first to examine the impact of AI enabled human resource practices towards employee task satisfaction and creative willingness. Another uniqueness of this research is that it has conceptualized moderating effect of leader trustworthiness between employee task satisfaction and creative willingness. Plain language summary: AI in HR: Boosting job satisfaction and creativity in the workplace This study looks at how using AI in HR affects how happy employees are with their tasks and how willing they are to be creative at work. They created a framework that combines different factors like smart HR tech, disruptive tech, teamwork, a good work system, the work environment, having enough resources, and trusting leaders. They collected data from 305 employees in manufacturing companies who volunteered for the study. They found that factors outside of the employees' control—like the tech they use and how well they work together—explained about 82% of why employees are satisfied with their tasks. Similarly, being satisfied with tasks and trusting their leaders explained about 73% of why employees are willing to be creative. The study suggests that using smart HR tech, creating a good work environment, having trustworthy leaders, and working well together all have a big impact on how happy employees are with their tasks and how creative they're willing to be. This means managers should pay attention to these factors to improve how satisfied and creative their employees are. This study is one of the first to look at how AI in HR affects task satisfaction and creativity, and it also highlights the important role of trustworthy leaders in this process. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Technology Economics is the property of Chinese Society of Technology Economics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The integration of Digital Twin technology in small and medium‐sized enterprises (SMEs) has brought forth a transformative paradigm in engineering practices. This paper presents a comprehensive overview of the use of Digital Twin in SMEs and its implementation of advanced digital technologies in an engineering context. The paper highlights key benefits, such as the ability to simulate, analyze, and predict the behavior of products or processes before their physical instantiation. By leveraging advanced modeling and simulation techniques, SMEs can efficiently explore multiple design iterations, identify potential issues, and optimize engineering solutions without costly physical prototyping. Furthermore, the paper discusses integrating other advanced digital technologies, such as the Internet of Things (IoT) and Artificial Intelligence (AI), with Digital Twin to create intelligent and interconnected systems. The implementation of Digital Twin technology in SMEs extends beyond product design to encompass various aspects of the product lifecycle, fostering efficiency, accuracy, and innovation. However, challenges such as data integration, cybersecurity, and skill requirements are addressed. With proper planning and investment, SMEs can unlock the full potential of Digital Twin technology to gain a competitive edge in the dynamic engineering domain. In conclusion, this paper demonstrates that the use of Digital Twin in SMEs and its integration with advanced digital technologies revolutionizes engineering practices. By offering virtual representations of physical assets and processes, Digital Twin enables SMEs to make informed decisions, optimize performance, and drive innovation. As the technology evolves, it becomes an indispensable tool for SMEs seeking to thrive in the ever‐evolving engineering landscape. [ABSTRACT FROM AUTHOR]

Sustainable Supply Chain Management stands at the forefront of contemporary business strategies. Concurrently, the emergence of Disruptive Theory has reshaped conventional notions of supply chain dynamics, introducing innovative technologies and strategies that challenge traditional practices. This study investigates the impact of disruptive technologies on Supply Chain Management within emerging economies, with a specific emphasis on the South African context. The study addresses critical gaps in the field of technological readiness, which challenge the effective integration of disruptive technologies. Using bibliometric analysis, the study evaluated the contributions of academia, industry, and government to developing disruptive theory in supply chain management in South Africa. The study found a significant increase in research activity in 2022, with 71.6% of publications focusing on disruptive theory in supply chain management. The findings highlight the need for collaboration among academia, industry, and governmental bodies to advance disruptive theory in South African supply chain management and promote sustainability. Further, it provides a foundation for further exploration and development of strategies to overcome challenges and leverage opportunities in the rapidly evolving supply chain management landscape. Future researchers may explore a deductive research approach to understand how disruptive theory applies explicitly to the unique challenges and dynamics of the South African supply chain. [ABSTRACT FROM AUTHOR]

Daron Acemoglu and his co-authors adopt a mainstream approach in articles. In their books, they exhibit a biased analysis by employing taxonomic structures, selectively choosing historical examples, and downplaying significant factors like globalization, status emulation, and collective consciousness. Their analyses, centered on individual decision-making, overlook the evolutionary perspective. In this article, I argue that since the early 1980s, the new ICT-based wave of monopolization/oligopolization and globalization affected income distribution negatively within countries but positively between countries. The recent advancement of Artificial Intelligence (AI), which is also dealt with by Acemoglu and Simon Johnson in their book Power and Progress, seems to increasingly affect income inequality and to strengthen the power of Big Tech. An evolutionary institutional perspective, wherein the social selection mechanism itself adjusts to changing social conditions, might provide a counterbalance to anxious AI concerns. [ABSTRACT FROM AUTHOR]

Faced with a global decline in the principles of equality, freedom, transparency, and accountability, democracies must respond by turning their attention inward – and crafting a model that leads by example. Dealing with the advent of 21st-century surveillance methods is a place to start, because it presents both issues of justice and equity at home and novel national security threats abroad. This analysis offers an initial roadmap for American and aligned countries' policymakers to pursue the democratic surveillance ideal. [ABSTRACT FROM AUTHOR]

Countless enterprise blockchains fail to live up to high expectations, often because the supporting governance structures are insufficiently established or have become stagnant. Based on interviews with 153 blockchain executives and an analysis of publicly documented use cases, this article offers a guide for blockchain scholars and practitioners. Its framework highlights the coordination and control challenges that exist in blockchain governance contexts and presents four generic governance modes to address them: chief, clan, custodian, and consortium. Managers can use these governance modes as a basis for four strategic moves (connecting, isolating, loosening, and tightening) to navigate blockchain governance challenges. [ABSTRACT FROM AUTHOR]

The concept of sustainable healthcare is the subject of an increasingly intense, captivating, forward-looking, yet sometimes still overly theoretical debate. The aim of this contribution is to analyze the current scenarios of ecological and digital transition in the healthcare sector, considering its high energy consumption. In particular, we adopt a holistic and convergent vision of the energy mix and its infrastructure, moving beyond the ideological dichotomy of energy sources. Renewable sources, digital innovations, and the circular economy are seen as playing key roles in the future of the energy sector. In this research, a mixed methodology was employed, combining a questionnaire consisting of 31 questions with semi-structured interviews conducted with the top management of a major player in the private healthcare sector located in southern Italy in 2023. Consequently, we examine the main macro-guidelines of technological development, encompassing enabling technologies, new business models, roles, and professional skills. Based on the analyses conducted, we provide some insights to inform governmental policies and industrial strategies in the near future. Digitalization represents an opportunity to enhance the efficiency of healthcare services, reducing waste and ensuring quality. For instance, digital healthcare solutions enable personalized care on a global scale and offer decision support systems that can enhance overall healthcare performance. However, to maximize the benefits of digital transformation, it is essential to integrate new technologies effectively and sustainably into the existing healthcare ecosystem. A promising example is telemedicine, which can help reduce carbon emissions by decreasing healthcare workers' travel. [ABSTRACT FROM AUTHOR]

Rationale: Delivering optimal patient health care requires interdisciplinary clinician communication. A single communication tool across multiple pre‐hospital and hospital settings, and between hospital departments is a novel solution to current systems. Fit‐for‐purpose, secure smartphone applications allow clinical information to be shared quickly between health providers. Little is known as to what underpins their successful implementation in an emergency care context. Aims: To identify (a) whether implementing a single, digital health communication application across multiple health care organisations and hospital departments is feasible; (b) the barriers and facilitators to implementation; and (c) which factors are associated with clinicians' intentions to use the technology. Methods: We used a multimethod design, evaluating the implementation of a secure, digital communication application (Pulsara™). The technology was trialled in two Australian regional hospitals and 25 Ambulance Victoria branches (AV). Post‐training, clinicians involved in treating patients with suspected stroke or cardiac events were administered surveys measuring perceived organisational readiness (Organisational Readiness for Implementing Change), clinicians' intentions (Unified Theory of Acceptance and Use of Technology) and internal motivations (Self‐Determination Theory) to use Pulsara™, and the perceived benefits and barriers of use. Quantitative data were descriptively summarised with multivariable associations between factors and intentions to use Pulsara™ examined with linear regression. Qualitative data responses were subjected to directed content analysis (two coders). Results: Participants were paramedics (n = 82, median 44 years) or hospital‐based clinicians (n = 90, median 37 years), with organisations perceived to be similarly ready. Regression results (F(11, 136) = 21.28, p = <0.001, Adj R2 = 0.60) indicated Habit, Effort Expectancy, Perceived Organisational Readiness, Performance Expectancy and Organisation membership (AV) as predictors of intending to use Pulsara™. Themes relating to benefits (95% coder agreement) included improved communication, procedural efficiencies and faster patient care. Barriers (92% coder agreement) included network accessibility and remembering passwords. PulsaraTM was initiated 562 times. Conclusion: Implementing multiorganisational, digital health communication applications is feasible, and facilitated when organisations are change‐ready for an easy‐to‐use, effective solution. Developing habitual use is key, supported through implementation strategies (e.g., hands‐on training). Benefits should be emphasised (e.g., during education sessions), including streamlining communication and patient flow, and barriers addressed (e.g., identify champions and local technical support) at project commencement. [ABSTRACT FROM AUTHOR]

Copyright of European Review of Public Law is the property of European Public Law Organization and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

For more than a decade, the Financial Technology (FinTech) industry has been growing, and it has reshaped how payments were made and brought new financial service products to the market. FinTech has created innovative disruptions to traditional, long-established financial institutions (e.g., banks and investment firms) in financial services markets. The worldwide blooming of FinTech has caused universities around the globe to teach their students (particularly those in the IT and finance disciplines) about practical and contemporary knowledge on FinTech. This paper discusses our recent survey study to investigate the status quo of offering FinTech education and training by Australian universities. Our study involved two rounds of online data collection (one in November 2021 and the other one in June 2022) from 41 sample universities in Australia. Among our various findings, we observed that, although Australian universities are increasingly aware of the importance of and the demand for FinTech studies, FinTech has still not yet become a mainstream study discipline. This observation indicates that, in Australia, FinTech studies have generally gone through the inception stage and entered the growth stage. [ABSTRACT FROM AUTHOR]

In recent years, many FinTech start-up firms have poured into the FinTech landscape. Since FinTech leaders (including founders and chief executive officers (CEOs)) have a major impact on the performance of their respective firms, research studies on FinTech leaders are indispensable. This paper discusses our study to investigate three major dimensions (education, work experience, and eagerness of self-employment) of FinTech leaders in an Australian context. We also compare these dimensions between FinTech founders and CEOs. Overall, we found that: (a) The majority of FinTech leaders are degree holders and one-third of them have a master’s degree. (b) Only about one-third of leaders with a master’s degree hold an MBA. (c) Only 19.4% and 11.1% of degree-holding leaders were graduated from the IT and finance discipline, respectively. (d) Only 19.0% of leaders have previous IT work experience and the mean years of such experience is only 2.0. (e) 54.8% of leaders have previous finance work experience and the mean years of such experience is 6.7. (f) When compared with CEOs, founders are more likely to hold a master’s degree and are more eager to be self-employed.

Disruptive technology is used to describe innovations that design and improve a product or service in ways that neither the market nor consumers expect, but which are highly attractive to both.Industrial design is not far from this accelerating explosion of knowledge in what modern sciences and advanced technologies have created in various fields, which in turn led to changing consumer purchasing habits, so the consumer always needs to replace the product and acquire the latest technology from it without a productive exit from the market or the end of its lifespan, but because the product The new one works with new and different technological techniques and carries new formal efficiencies and new engineering and use functions resulting from the use of advanced materials that are completely different from traditional materials.Advanced materials are materials with advanced properties in terms of physical, chemical, mechanical, thermal and metallurgical thanks to nanotechnology, where scientists were able to develop and discover a range of methods for the production of materials with distinctive characteristics such as shape memory alloys, liquid metal, structural colorsThe research believes that the industrial designer must identify these advanced materials and study their characteristics, advantages, strengths and weaknesses so that he can use them in creating his designs for the industrial product and provide new functional, usable and formal solutions that are unfamiliar to the products.Keywords: disruptive technology - advanced materials - industrial design

The Fourth Industrial Revolution introduced numerous disruptive technologies that are changing human life faster than ever before. Right on its heel, the Fifth Industrial Revolution is introducing robotics using Artificial Intelligence aided by Machine Learning. While these are considered the future, the disruption caused by them is forcing changes in how we operate and perceive things. One such area is the ‘military’. Though Artificial Intelligence and robotics are being experimented with as a replacement for humans to de-risk their lives, they are found to be advantageous to reduce the cost of training, rations, supply and maintenance of personnel. They are thus receiving increasing investments for development and deployment. This in return is altering how warfighting is perceived and conducted. To ensure a smooth progression of humans with the numerous technological developments being made in the field of Artificial Intelligence, the article looks at the advances made in these fields for military applications that are improving their sustainability and control, the world over. In addition, to assist decision-makers, a broad-based roadmap for the use of Artificial Intelligence in the military is discussed.

Recent advances in big data and analytics, cyber security, automation, and artificial intelligence can make critical contributions to the demonstration of power on the international stage. New technologies not only offer militaries the ability to conduct operations with greater effectiveness but also reduce the potential human cost of operations. In an increasingly digitized world, organizations that do not adopt and leverage these advances can become inefficient and even fall by the wayside. Yet, despite the immense promise of emerging technologies, many organizations struggle to integrate and utilize them. This is true in both the military and business sectors. For business organizations, a failure to adopt and use novel technologies may threaten profits and even their survival. For militaries, where soldiers’ lives are on the line, the consequences can be even more severe. Why is the integration of new technologies often so difficult? This policy brief highlights an important and overlooked reason, namely how gender policy can affect resistance to organizational change. Gender policy reform requires organizations to invest resources in the recruitment and retainment of an inclusive workforce, and therefore demands that organizations be flexible and resilient. Flexibility and resilience are also required to integrate disruptive innovations. Rather than trying to chain a new technology to old systems of ascension and reward, organizations that want to advance technologically must rethink their incentive systems and work hard to restructure entrenched hierarchies.