Disruptive Technology Research Articles

PRELUDE FOR A SUCCESSFUL DIGITAL TRANSFORMATION: EMPIRICAL EVIDENCE FROM INDIAN TELECOMMUNICATION SERVICE PROVIDER

Despite an increased focus on digital transformation, the telecommunication industry has, thus far, seen limited success regarding the effective transformation of its constituent organisations, both globally and in India. Indian telecommunication service providers (TSP) in particular face tremendous pressure to transform successfully in order to leverage the benefits of digital transformation and meet the current business challenges. This research proposes factors from internal organizational perspective that are essential for the successful transformation. This study has developed a research framework grounded in multiple theories (Resource Based View, Dynamic Capabilities and Disruptive Innovation) and based on detailed literature review. The research model was tested using responses from a robust sample of 294 domain experts in the Indian telecommunications industry. Empirical results indicate that Digital Capabilities, Digital Strategy and Corporate Level Data Strategy has strong significance on the successful Business Performance, followed by IT Function Transformation, and Digital Innovation.

Healthcare Transformation: Artificial Intelligence Is the Dire Imperative of the Day.

At present, healthcare systems around the world are confronted with unprecedented challenges caused by aging demographics, increasing chronic diseases, and resource challenges. In this scenario, artificial intelligence (AI) emerges as a disruptive technology that can provide solutions to these complicated problems. This review article outlines the vital role played by AIin altering the health landscape. The constant demand for effective and accessible healthcare demands the use of new solutions. AI can be described as an important imperative, enabling advancements in many areas of the delivery of healthcare. This review article explores the possibilities of use of AI to aid in the field of healthcare assistants, diagnosing, disease prediction, and personalized treatment and the discovery of drugs, telemedicine and remote monitoring of patients, robotic-assisted procedures imaging for pathology and radiology analysis, and the analysis of genomic data. By analyzing the existing research and cases, we explain how AI-driven technology can optimize processes in healthcare, improve diagnosis accuracy, improve the quality of treatment, and simplify administrative tasks. By highlighting the most successful AI applications and laying out possible future developments, the review article will provide insight for healthcare professionals, policymakers, researchers, and other stakeholders in harnessing the power of AI to transform healthcare delivery and enhance the quality of care for patients.

Strategic Risk Agility on the Performance of Edible Oil Manufacturing Company at Pwani Oil Products Limited, Kenya

An organization’s capacity to foresee and address strategic risks pro-actively and flexibly is strategic risk agility. It entails seeing possible dangers and opportunities, evaluating how they could affect the organization, and swiftly adjusting and reacting to shifting conditions. Disruptive technologies, economic downturns, supply chain disruptions, and regulatory changes are a few examples of strategic risks that demand agility and flexibility to manage. This study primarily focused on the impact of strategic risk agility on the performance of edible oil manufacturing enterprises in Kenya. The study sought to establish the effect of strategic risk adaptability on the performance of edible oil manufacturing companies in Kenya, at Pwani Oil Products Limited. The research was guided by the Theory of Dynamic Capability. A descriptive research design was adopted for this study. The primary instrument for data collection in this study was a Questionnaire. The target population was 380 employees from the edible oil manufacturing company, Pwani Oil Products Limited for the period between August to November 2023. The sample consisted of 30% of the target population (70 men, 45 women and work experience of 0-11 years). The reliability of the questionnaire was assessed by measuring its internal consistency using Cronbach's Alpha. Conclusion are that the ability to swiftly adjust production processes, adapt to changing market demands, and respond to unexpected disruptions can translate into improved financial performance. The study's outcomes underscore the importance of strategic risk innovation and collaboration in enhancing financial performance. It is evident that these factors are pivotal for success. The recommendations are that Pwani Oil Products Limited should invest in improving its strategic risk adaptability. This can be achieved through regular risk assessments, scenario planning, and flexible business strategies. The company should develop a culture that encourages employees to quickly adapt to changing market conditions and mitigate risks effectively.

Unveiling elicitation: a socioecological sensemaking-driven path across innovation in capitalist representations

PurposeThe paper positions social and technological innovation as pivotal counterforces to conservative resistance against change, particularly in light of the recurrent economic and technological upheavals characterizing the present shape of capitalism.Design/methodology/approachThe research adopts a qualitative methodology, rooted in a comparative case study approach, offering a critical retrospective analysis of societal disruptions and transformations. Central to this methodological framework is the construct of sensemaking, which is characterized as the process by which collective entities retrospectively develop plausible narratives that rationalize their experiences. The approach is informed by the dynamics of socio-ecological systems, which are understood to undergo cyclical phases of growth, stabilization, collapse, and regeneration.FindingsThe study shows evidence that resilience and adaptability are more authentically gauged by socio-technological responses to cyclical disruptions and recoveries. It delineates sensemaking as a crucial socioecological mechanism through which elicitation emerges and societies and organizations navigate these cycles, forging shared narratives from collective experiences that are driven by plausibility rather than mere accuracy.Practical implicationsThe research calls for the development of policies that synthesize disruptive innovations with strategies for social cohesion. Such policies must ensure the protection of the socioeconomic texture from implicit structural precariousness arising from innovation. The ability to integrate and institutionalize change is emphasized as crucial, demanding a synergy between innovative creativity, new normative frameworks, and the preservation of fundamental societal values.Originality/valueThe paper challenges reductionist technological interpretations of societal changes, advocating for a holistic perspective that accounts for the redistributive and elicitation roles as vital to the evolution of socio-economic systems. The value of this research lies in its comprehensive framing of these transformations, underscoring the importance of a multi-faceted understanding in the effective management of socioeconomic change.

TECHNOLOGICAL DISRUPTION AND ENTREPRENEURIAL BEHAVIOR

The role of technological disruption in transforming the business environment and its challenges for established companies have been widely discussed in recent decades. In this scenario, entrepreneurial behavior can be crucial in shaping effective strategic responses of these organizations in the face of disruption contexts. This article explores the intersection between these themes, technological disruption, and entrepreneurial behavior, based on the studies of Filion (1993) and Si and Chen (2020). The research methodology is exploratory, qualitative, and bibliographic. The results indicate that personal characteristics of entrepreneurs can influence strategic responses to disruption. It concludes that future research should explore the impact of behavioral factors on the entrepreneurial capacity to deal with disruptive innovations and technological disruption, contributing to the literature in the areas of strategy, technology, and organizational behavior.

Decentralized AIoT based intelligence for sustainable energy prosumption in local energy communities: A citizen-centric prosumer approach

The role of prosumers who are consumers who produce, store, and consume energy is vital to the uptake of renewable energies in Local Energy Communities (LEC). However, the integration of prosumers in the smart grid to facilitate bidirectional flows of energy and information depends on intelligent operations of energy systems and flexible structures of the existing energy markets. But existing energy trading mechanisms are faced with issues of trust, privacy, security, and energy pricing determination. Also, there are fewer studies based on a citizen-centric prosumer approach. Thus, there is need to provide reliable solutions that addresses the aforementioned challenges faced by prosumers in LEC. Advancements in disruptive technologies, such as Distributed Ledger Technologies (DLT), Artificial Intelligence (AI), and the Internet of Things (IoT) have transformed a broad spectrum of intelligent systems in smart cities. Therefore, this study examines the integration of AI and IoT as AIoT and DLT towards a citizen-centric prosumer approach for decentralized energy markets trading. Additionally, this article develops an architectural model for energy prosumption in LEC using design science approach based on a user-centred design method that shows a possible implementation concept to support energy sharing and trading in LEC. The architectural model supports trust, data privacy, security, and energy pricing determination using AI and smart contracts to provides real-time energy trading monitoring, easy access, control, and immutable logs to unearth underlying energy demand and supply patterns thereby supporting citizen-centric prosumer approach. Finally, a use case scenario of DLT and AIoT for prosumption operations is presented.

Aligning Design Studio Pedagogy to Industry Practice: Future Proofing Higher Design Education

Amid the Covid-19 pandemic, design education experienced a significant shift as traditional studio teaching went online. This transition coincided with industry demands for adaptable, technology-proficient graduates prepared to work and collaborate as part of a decentralized workforce. This study examines how design educators in seven countries adapted their post-pandemic studio pedagogy to align with these industry needs. An online survey was used to efficiently reach the wide, geographically dispersed participant pool of educators. Findings indicate a rising acceptance of online technologies in studio teaching. The majority of design educators are now incorporating online elements into their design teaching. Pre-recorded lectures, online feedback and critique sessions, self-paced learning activities, and the use of cloud-based collaboration tools are amongst the most frequently employed methods. Nearly a third of surveyed educators are even considering teaching fully online design courses. This shift reflects a forward-thinking approach aimed at better aligning design education and industry. However, the study also highlights the importance of remaining open to disruptive technologies like generative Artificial Intelligence which is currently reshaping the design industry and work practices.

The role of circular economy in EU entrepreneurship: A deep learning experiment

Fostering innovation is one of the key roles of the Circular Economy (CE) that applies also to European Union (EU) firms, because entrepreneurs are persistently seeking new ways and means to create values, contributing with significant market opportunities, and depicting large potential for EU sustainable growth. This study explores the effects of firms’ investments in using highly disruptive technologies in the energy sector on the Eurozone (EU-27) in the last two decades (1990–2019). An Artificial Neural Networks (ANNs) experiment through a Deep Learning (DL) approach is implemented to test this hypothesis. The empirical findings show that investments in highly disruptive technologies, especially by large digitally qualified companies, boost economic growth. They are also a crucial driver of digitalization not only because they enhance a wide strategic change implying a radical innovation in business models, but they completely transform markets, from energy to food production, water resources, pollution, connectivity, and plastic waste. These expected benefits represent a possible policy measure to offset the decline in global activity due to the impact of the Russia-Ukraine war on global energy markets. In addition, a positive association between trade and output is confirmed. Finally, promising policy actions are discussed.

Disruptive Innovations and Employees’ Career Performance in Some Selected Business Organisations

This study explores the impact of disruptive innovations—technological advancements in transforming business practices—on employees' careers, with a focus on Nigeria. While disruptive innovations enhance industrialisation, globalization and efficiency, their influence on employee roles, skills, and job security have been under examined, especially in developing countries, thereby changing narrative of the future of work. Using a survey methodology and analyzing both quantitative and qualitative data, the study finds that respondents are generally aware of disruptive innovations, though adoption varies among organizations. The results indicate positive effects on employees’ roles and skills but highlight the need for ongoing reskilling and upskilling. Thus, the conclusion is that stakeholders, such as job seekers, business owners, employees, and policymakers, will be aided in making informed decision regarding disruptive innovations. The study suggests that future studies should model employee development in response to these technological changes in the Nigerian context.

Does disruptive technology and AI (Artificial Intelligence) influence logistics management?

Does disruptive technology and AI (Artificial Intelligence) influence logistics management?

Patents in metaverse: an analysis of scope and challenges

ABSTRACT ‘Metaverse’ is set to be the disruptive technology which is about to bring an overhaul in the functioning of myriad sectors ranging from education, entertainment, health care, businesses amongst others. The key feature of this technology is the immersion of physical world into a virtual world. Metaverse in a way finds its roots on the technologies of Virtual/ Augmented Reality (VR/AR) which essentially are about simulating real world and augmenting the real – world experience in the digital world. Intellectual Property Rights which exist for protection of intangible assets, hence are vital in perspective of Metaverse. This research analyses the IP form of Patents in reference to Metaverse. Patents are an attractive choice due to the commercial advantage and the higher level of protection it offers compared to other IP forms. The trend of surge in patent applications seen with emerging technologies like AI and Blockchain is likely to be reflected with metaverse. The article views the metaverse and patent domain through an overarching lens gauging the possible scope and challenges. The analysis is based on US, EU and Indian patent laws to get a comprehensive picture across the world.

Banking FinTech and stock market volatility? The BIZUM case

This paper investigates whether and how the adoption of FinTech by incumbent banks affects their stock price volatility. BIZUM, a Spanish FinTech real-time digital payment solution was adopted by incumbent banks in 2016 and therefore provides new evidence of real-world ex-post implementation. The results indicate that the adoption of BIZUM by incumbent banks had a significant effect, reducing their stock price volatility after it was launched. This finding suggests that investors were informed of and acknowledged the advantages of BIZUM, thus, use their adoption of FinTech Start-up strategy to offset adverse market circumstances. This paper provides insights for investors and international institutions regarding the role of the pricing of banking related assets, implications for incumbent banks whose portfolios are exposed to investments in disruptive technology and for banking regulators and authorities vis-à-vis risk related considerations of the adoption by banks of FinTech strategies.

Digital intraoral and radiologic records in forensic identification: Match with disruptive technology

While clinical dentistry has seamlessly integrated the digital revolution, there is a gap in the technological capabilities of forensic dentistry.The study aimed to compare the superimposition accuracy of two different three-dimensional record formats, namely the intraoral scanner and cone beam computer tomography, in the context of forensic identification.The sample consisted of randomly selected adults (n=10) of both sexes aged between 20 and 50 years. Following the acquisition of data using the Medit i700 wireless scanner and the iCAT Tomograph with InVivo software, the records were analysed and compared through superimposition using Medit Scan Clinic software to assess the technical precision of anatomical identification details.The results obtained through the superimposition of dental and bone records following intra- and inter-observer analysis enabled an accurate comparison and identification of an individual. This method can differentiate between positive and negative matches, achieving exclusion results and offering a potential solution to overcoming the absence of a standardisation procedure in human identification.

Cooperative Entrepreneurship Distruption: Challenges and Opportunities

The paper examined cooperative entrepreneurship positives and downsides. This research examined how cooperative prospects affect cooperative entrepreneurship growth and how economic difficulties affect it. The research population includes 4,238 persons from five Ekiti central senatorial district local governments. A systematic sample of 353 was employed in the study. Percentages and frequency tables are descriptive statistics, whereas, multiple regression analysis is inferential. The study found that cooperative entrepreneurship is both disrupted (p= 0.000 < 0.05) and challenged (p= 0.000 < 0.05). According to studies, low-income people should join cooperatives. Disruptive innovation was recommended for cooperative entrepreneurs seeking performance improvement. Research shows that cooperative entrepreneurship disruption is crucial to entrepreneurial success. Entrepreneurial disruption has not helped cooperative societies, the research found.

TALENT MANAGEMENT IN DIGITAL AGE

In the rapidly evolving landscape of the digital age, talent management has emerged as a critical focal point for organizations seeking to thrive amidst technological disruption and intense market competition. This abstract provides an overview of the challenges and opportunities presented by talent management in the digital era. The digital age has ushered in unprecedented changes in how businesses operate, demanding a workforce equipped with advanced digital skills and adaptability to navigate complex technological environments. As such, talent management strategies must evolve to attract, develop, and retain individuals capable of driving innovation and sustaining competitive advantage. Key challenges in talent management in the digital age include identifying and assessing digital skills, fostering a culture of continuous learning and upskilling, and leveraging technology to optimize recruitment, performance management, and employee engagement processes. Moreover, organizations must contend with the rise of remote work and the gig economy, which require new approaches to talent acquisition and retention. Despite these challenges, the digital age also presents unique opportunities for talent management. Advances in data analytics enable organizations to gain insights into workforce trends and performance metrics, facilitating informed decision-making and personalized employee development strategies. Furthermore, digital platforms and collaboration tools empower employees to connect and collaborate across geographical boundaries, fostering innovation and knowledge sharing. To capitalize on these opportunities, organizations must adopt a holistic approach to talent management that integrates digital technologies with human-centric practices. This involves aligning talent strategies with business objectives, cultivating a supportive learning culture, and nurturing a diverse and inclusive workforce that reflects the evolving needs of the digital economy. In conclusion, talent management in the digital age requires a proactive and adaptive approach that embraces innovation, collaboration, and continuous learning. By addressing the challenges and seizing the opportunities presented by digitalization, organizations can build a dynamic and resilient workforce capable of driving sustainable growth in an increasingly competitive global market.

A quantitative study of disruptive technology policy texts: An example of China’s artificial intelligence policy

Abstract Purpose The transformative impact of disruptive technologies on the restructuring of the times has attracted widespread global attention. This study aims to analyze the characteristics and shortcomings of China’s artificial intelligence (AI) disruptive technology policy, and to put forward suggestions for optimizing China’s AI disruptive technology policy. Design/methodology/approach Develop a three-dimensional analytical framework for “policy tools-policy actors-policy themes” and apply policy tools, social network analysis, and LDA topic model to conduct a comprehensive analysis of the utilization of policy tools, cooperative relationships among policy actors, and the trends in policy theme settings within China’s innovative AI technology policy. Findings We find that the collaborative relationship among the policy actors of AI disruptive technology in China is insufficiently close. Marginal subjects exhibit low participation in the cooperation network and overly rely on central subjects, forming a “center-periphery” network structure. Policy tool usage is predominantly focused on supply and environmental types, with a severe inadequacy in demand-side policy tool utilization. Policy themes are diverse, encompassing topics such as “Intelligent Services” “Talent Cultivation” “Information Security” and “Technological Innovation”, which will remain focal points. Under the themes of “Intelligent Services” and “Intelligent Governance”, policy tool usage is relatively balanced, with close collaboration among policy entities. However, the theme of “AI Theoretical System” lacks a comprehensive understanding of tool usage and necessitates enhanced cooperation with other policy entities. Research limitations The data sources and experimental scope are subject to certain limitations, potentially introducing biases and imperfections into the research results, necessitating further validation and refinement. Practical implications The study introduces a three-dimensional analysis framework for disruptive technology policy texts, which is significant for formulating and enhancing disruptive technology policies. Originality/value This study utilizes text mining and content analysis techniques to quantitatively analyze disruptive technology policy texts. It systematically evaluates China’s AI policies quantitatively, focusing on policy tools, policy actors, policy themes. The study uncovers the characteristics and deficiencies of current AI policies, offering recommendations for formulating and enhancing disruptive technology policies.

A Comprehensive Review on Cybersecurity Issues and Their Mitigation Measures in FinTech

The fourth industrial revolution has seen the evolution and wide adoption of game-changing and disruptive innovation, "financial technologies (FinTech), around the globe. However, the security of FinTech systems and networks remains critical. This research paper comprehensively reviews cybersecurity issues and their mitigation measures in FinTech. Four independent researchers reviewed relevant literature from IEEE Xplore, ScienceDirect, Taylor & Francis, Emerald Insight, Springer, SAGE, WILEY, Hindawi, MDPI, ACM, and Google Scholar. The key findings of the analysis identified privacy issues, data breaches, malware attacks, hacking, insider threats, identity theft, social engineering attacks, distributed denial-of-service attacks, cryptojacking, supply chain attacks, advanced persistent threats, zero-day attacks, salami attacks, man-in-the-middle attacks, SQL injection, and brute-force attacks as some of the significant cybersecurity issues experienced by the FinTech industry. The review paper also suggested authentication and access control mechanisms, cryptography, regulatory compliance, intrusion detection and prevention systems, regular data backup, basic security training, big data analytics, use of artificial intelligence and machine learning, FinTech regulatory sandboxes, cloud computing technologies, blockchain technologies, and fraud detection and prevention systems as mitigation measures for cybersecurity issues. However, tackling cybersecurity issues will be paramount if FinTech is to realize its full potential. Ultimately, this research will help develop robust security mechanisms for FinTech systems and networks to achieve sustainable financial inclusion.

What’s an innovation? Capitalising on disruptive innovation in higher education

ABSTRACT This article conceptualises how disruptions to conventional teaching models may lead to innovative practice. We have identified a gap in current knowledge around how innovations in higher education teaching and learning are initiated in times of crises. Disruptive Innovation Theory and Roger’s Diffusion of Innovation Theory are used as lenses to understand how academics’ epistemic positioning impacts the implementation of educational innovations, and how such innovations fundamentally change practice. We use COVID-19 restrictions as an illustrative example to deconstruct the catalysts for academics’ experimentation with new digital tools, new ways to connect with their students, and novel means of facilitating collaborative learning strategies in the online space. This study makes a distinctive and original contribution by revealing three characteristics of disruptive tools, practices, and mindsets in Initial Teacher Education that differ from the typical efficiencies in other markets.

Organizational Strategic Navigation in a Dynamic Environment: Insights into Market Competition, Technological Change, and Policy Dynamics

In today's rapidly evolving business landscape, organizations encounter a myriad of challenges that stem from intense market competition, swift technological advancements, and the intricate web of regulatory complexities. This article delves deep into the strategic approaches employed by firms to navigate these hurdles, with a special focus on essential areas such as market positioning, brand development, technological innovation, digital transformation, legal compliance, and policy adaptability. Through a detailed investigation and analysis, this study uncovers the profound effects of market dynamics, technological disruptions, and policy uncertainties on the practices of strategic management. It meticulously examines how organizations adapt to the fast-paced changes in the environment, leverage technology for competitive advantage, and ensure compliance with evolving regulations. Furthermore, the article discusses the importance of strategic flexibility and the ability to swiftly respond to market and technological shifts. By shedding light on these critical aspects, the study aims to enrich the understanding of strategic management in the modern business era, providing valuable insights for academics, practitioners, and policymakers alike. This comprehensive exploration underscores the need for an agile, forward-thinking approach in formulating strategies that can withstand the pressures of today's dynamic business environment.

Organizational Strategic Navigation in a Dynamic Environment: Insights into Market Competition, Technological Change, and Policy Dynamics

In today's rapidly evolving business landscape, organizations encounter a myriad of challenges that stem from intense market competition, swift technological advancements, and the intricate web of regulatory complexities. This article delves deep into the strategic approaches employed by firms to navigate these hurdles, with a special focus on essential areas such as market positioning, brand development, technological innovation, digital transformation, legal compliance, and policy adaptability. Through a detailed investigation and analysis, this study uncovers the profound effects of market dynamics, technological disruptions, and policy uncertainties on the practices of strategic management. It meticulously examines how organizations adapt to the fast-paced changes in the environment, leverage technology for competitive advantage, and ensure compliance with evolving regulations. Furthermore, the article discusses the importance of strategic flexibility and the ability to swiftly respond to market and technological shifts. By shedding light on these critical aspects, the study aims to enrich the understanding of strategic management in the modern business era, providing valuable insights for academics, practitioners, and policymakers alike. This comprehensive exploration underscores the need for an agile, forward-thinking approach in formulating strategies that can withstand the pressures of today's dynamic business environment.