Disruptive Nature Research Articles

Introduction: mapping the music and video streaming landscape and its disruptions in Southeast Asia

ABSTRACT This article introduces the special issue of Mapping the Music and Video Streaming Landscape and its Disruptions in Southeast Asia by identifying three ways in which the special issue engages with the broader scholarship on streaming. In it, we discuss how our special issue converses with scholarly debates about the disruptive nature of streaming, how the unique qualities of streaming infrastructure in Southeast Asia resonates with scholarship on other global South contexts, and how both the commonalities and variations within Southeast Asia that our special issue makes apparent can be likened to what other scholars have observed of the disjunctive and overlapping nature of the European market.

Employee performance in the context of perceived organisational change: moderated by power distance and collectivism

Employee performance is crucial for organizational success, especially amid organizational change. This study investigates the influence of employees' perceptions of organizational change on their performance, considering the moderating roles of power distance and collectivism. The background of the research underscores the significance of understanding how employees perceive and respond to organizational change initiatives. The purpose is to examine how cultural dimensions, specifically power distance and collectivism, moderate the relationship between organizational change perception and employee performance. Methodologically, a quantitative approach utilizing survey data from employees PT Pertamina EP Cepu Regional 4 Zona 11 is employed. Principal results indicate a significant positive relationship between employees' perceptions of organizational change and their performance, highlighting the disruptive nature of change on employee productivity. Moreover, both power distance and collectivism moderate this relationship, suggesting that cultural values play a crucial role in shaping employee responses to change. Major conclusions emphasize the importance of considering cultural contexts when implementing organizational change strategies to mitigate potential negative effects on employee performance. This study contributes to the field by providing empirical evidence of the interplay between organizational change perception, cultural dimensions, and employee performance, offering valuable insights for practitioners and scholars aiming to enhance organizational effectiveness amidst change.

Financing green innovation startups: a systematic literature review on early-stage SME funding

ABSTRACT This paper investigates the critical issue of financing early-stage green startups, examining the types of investors and finance models available, the challenges these startups face, and how the green finance ecosystem can better support early-stage investment. Utilizing a systematic literature review (SLR) methodology, we provide a comprehensive analysis of the current landscape. Our findings reveal a significant paucity of data and a bias towards well-established North American and European ecosystems, while highlighting an emerging diversity in private finance sources post-Global financial crisis (GFC), including grants, equity, and crowdfunding. Despite this, there remains a heavy reliance on public funding and a lack of evidence regarding its impact. The inherent characteristics of cleantech – high capital expenditure, long investment horizons, and disruptive nature – necessitate innovative public financing instruments and policies to reduce risk and attract private investment. Our theoretical contribution highlights the necessity for interdisciplinary research and policy collaboration to develop a holistic entrepreneurial finance (entfin) ecosystem. This approach should integrate quantitative economic and qualitative behavioural finance research to address information asymmetries and improve the green economy policy mix. Such a framework will support public-private co-financing, enhance stakeholder engagement, and provide evidence for policy decisions, facilitating more rapid commercialization of cleantech innovations for environmental sustainability.

Dimensions: Calculating disruption indices at scale

Abstract Assessing the disruptive nature of a line of research is a new area of academic evaluation that moves beyond standard citation-based metrics by taking into account the broader citation context of publications or patents. The “CD index” and a number of related indicators have been proposed in order to characterize the disruptiveness of scientific publications or patents. This research area has generated a lot of attention in recent years, yet there is no general consensus on the significance and reliability of disruption indices. More experimentation and evaluation would be desirable, but it is hampered by the fact that the calculation of these indicators is time-consuming, especially if done at scale on large citation networks. We present a novel SQL-based method to calculate disruption indices for the Dimensions publications data on Google BigQuery. This reduces the computational time taken to produce such indices by an order of magnitude, as well as making available such functionalities within an online environment that requires no setup efforts. We explain the novel algorithm and describe how its results align with preexisting implementations of disruption indicators. This method will enable researchers to develop, validate, and improve disruption models more quickly and with more precision.

Human voice absorbing system by the use of aeroacoustics metamaterials

The increase of calls meetings has intensified vocal noise pollution, particularly in open spaces and during transportation. This poses challenges not only for speakers seeking confidentiality but also for disturbed neighbours. Both workplace and transportation environments suffer from the disruptive nature of vocal noise, with direct implications for cognitive performance in office settings. To answer to that problem, Skyted propose an innovative acoustic mask designed to reduce voice noise by up to 35 dB at a distance of 1 meter. This technology comes from meta-materials initially developed at ONERA for aircraft engine applications. Adapted and modeled for human vocal use, Skyted's mask ensures optimal comfort, breathability, and bidirectional attenuation. The numerical models based on FEM, and analytical (Matrix Transfert based on) are compared to measurements made for those specific application.

Multi-condition and multi-modal temporal profile inference during mouse embryonic development.

The emergence of single-cell time-series datasets enables modeling of changes in various types of cellular profiles over time. However, due to the disruptive nature of single-cell measurements, it is impossible to capture the full temporal trajectory of a particular cell. Furthermore, single-cell profiles can be collected at mismatched time points across different conditions (e.g., sex, batch, disease) and data modalities (e.g., scRNA-seq, scATAC-seq), which makes modeling challenging. Here we propose a joint modeling framework, Sunbear, for integrating multi-condition and multi-modal single-cell profiles across time. Sunbear can be used to impute single-cell temporal profile changes, align multi-dataset and multi-modal profiles across time, and extrapolate single-cell profiles in a missing modality. We applied Sunbear to reveal sex-biased transcription during mouse embryonic development and predict dynamic relationships between epigenetic priming and transcription for cells in which multi-modal profiles are unavailable. Sunbear thus enables the projection of single-cell time-series snapshots to multi-modal and multi-condition views of cellular trajectories.

Quality 4.0: the need for Tanzania's service organisation transit to Quality 4.0

PurposeQuality has always been a competitive advantage for every organisation that strives for customer satisfaction when offering services or products. Technological advancements during the industrial revolutions have enabled organisations to grub improvement and transition opportunities into a new paradigm in operating business processes. In light of the fourth industrial revolution (FIR), in which Quality 4.0 (Q4.0) leveraged its technologies, this study establishes the need for service organisations to transition to Q4.0. It unveils the awareness level within the organisation, the existing challenges and the benefits of transitioning to Q4.0.Design/methodology/approachThe data for this study was acquired through a survey methodology; it involved qualitative and quantitative methodologies and a mix of primary and secondary sources. The challenges and benefits regarding Q4.0 adoption were obtained from the relevant literature and used as a base of assessment in the selected service organisations. Minitab version 20 and SPSS 21.0 software packages analysed the gathered data.FindingsThe study found a high level of awareness regarding Q4.0 among the selected service organisations. Despite the high level of awareness, it was revealed that neither of the Q4.0-related technologies have been implemented nor in the process within the selected service industries. This is due to numerous challenges, including inadequate high-speed internet, a high cost of investment, inadequate skilled personnel and inadequate scepticalness to the implementation outcomes. Despite these challenges, leveraged technologies, potential benefits and Q4.0 awareness all demonstrate the need for Q4.0.Research limitations/implicationsThe study introduces the advent of the FIR and the disruptive nature of the associated technologies. It also unveils the potential of the contemporary technologies of the FIR that could elevate quality service provision to increase their competitiveness. Moreover, it also assists service organisations in planning and properly allocating their resources to ensure all the challenges are addressed in the Q4.0 adoption process. The study is limited in that it merely considers service organisations in Tanzania without categorising what type of service organisations were considered, i.e. banking, telecommunications, health, etc. thus generalising the findings.Originality/valueMuch has been discussed in the literature regarding Q4.0 in manufacturing organisations, focusing less on service organisations. This study uniquely assessed the need to transition to Q4.0 for service organisations, which has yet to be covered in the literature.

Implementing the Place-Train Approach in Train-Place Services: Organizational Culture and Supported Employment

Supported employment (SE) is increasingly implemented in employment services worldwide. The disruptive character of SE, involving a shift from ‘train-place’ to ‘place-train’ models of vocational rehabilitation, has led to growing recognition of implementation challenges and problems that negatively influence service efficacy and employment outcomes.This article enriches existing literature by presenting a theoretical framework that conceptualizes how organizational culture within public employment services can impact SE implementation. The argument is illustrated with cases from the Norwegian Employment and Welfare Service (NAV). Organizational culture plays a crucial role in shaping employee actions, behaviors, and foundational assumptions, which in turn influence local interpretations and applications of SE. Using Yin’s (2018) ‘embedded single case study’ method, our research concentrates on various units of analysis within a singular case. Our findings underscore the importance of considering organizational culture and context, acknowledging SE’s disruptive nature, and recognizing the nonlinear dynamics of implementation processes.

Artificial intelligence in cardiovascular imaging and intervention.

Recent progress in artificial intelligence (AI) includes generative models, multimodal foundation models, and federated learning, which enable awide spectrum of novel exciting applications and scenarios for cardiac image analysis and cardiovascular interventions. The disruptive nature of these novel technologies enables concurrent text and image analysis by so-called vision-language transformer models. They not only allow for automatic derivation of image reports, synthesis of novel images conditioned on certain textual properties, and visual questioning and answering in an oral or written dialogue style, but also for the retrieval of medical images from alarge database based on adescription of the pathology or specifics of the dataset of interest. Federated learning is an additional ingredient in these novel developments, facilitating multi-centric collaborative training of AI approaches and therefore access to large clinical cohorts. In this review paper, we provide an overview of the recent developments in the field of cardiovascular imaging and intervention and offer afuture outlook.

The Impact of Artificial Intelligence on Corporate Governance

The advent of artificial intelligence (AI) marks a pivotal shift in the landscape of corporate governance, catalyzing a reevaluation of traditional frameworks and necessitating a forward-looking approach to decision-making, risk management, and ethical considerations. This study explores the multifaceted impact of AI on corporate governance, offering a nuanced analysis of how AI technologies are transforming the operational, strategic, and ethical dimensions of organizations. The research underscores the potential of AI to enhance decision-making processes, optimize operational efficiencies, and foster innovation by providing advanced analytical capabilities and predictive insights. However, it concurrently highlights the emergence of unprecedented challenges, including data privacy concerns, algorithmic bias, and the need for robust regulatory frameworks to mitigate risks associated with AI deployment. The article advocates for a proactive stance in redefining corporate governance models to accommodate the disruptive nature of AI, emphasizing the integration of ethical considerations and transparency in AI applications. It calls for a collaborative effort among corporate leaders, policymakers, and stakeholders to develop governance structures that not only leverage AI’s potential but also safeguard against its inherent risks. The study’s recommendations include the establishment of ethical AI guidelines, the adoption of transparent AI practices, and the continuous monitoring of AI systems to ensure their alignment with corporate governance objectives and societal values. However, it is important to note that the approach and methods used in this study are based on a qualitativeliterature review and, therefore, the generalization of the findings across different sectors and corporate governance frameworks may be limited. Additionally, the rapidly evolving nature of AI technologies poses inherent challenges to keeping up with emerging trends and potential risks.

Ready to Grip AI's Potential? Insights from an Exploratory Study on Perceptions of Human-AI Collaboration

<p>One of the emerging technologies arising with Industry 4.0 is generative artificial intelligence (AI). Despite its disruptive nature and controversies, the effective and ethical use of AI is increasingly preoccupying organizations of all sizes as well as their employees. Focusing on generative AI, this paper presents findings from a qualitative study that provides insights into how Generation Z, the newest workforce, perceives human-AI collaboration. Based on in-depth interviews and a micro-meso-macro approach, the study reveals a dual perspective. Participants recognized the advantages AI brings, such as increased efficiency, productivity, and information availability. However, they were concerned about various risks such as: technology addiction, job loss, data privacy and ethical issues. At the micro level, generative AI was seen as beneficial for providing information and inspiration, but over-reliance could limit people's skills and create dependency. At the meso, organizational level, it could increase efficiency and productivity, but potentially replace jobs. At the macro, societal level, generative AI could support innovation but risks dehumanizing communication and relationships. Data privacy and ethics concerns were expressed at all three levels, indicating that a combination of institutional safeguards and awareness of data privacy and ethics at all levels is required to achieve the full benefits of generative AI. This would help organisations to capitalise on technological advances and support the development of ethical use of AI tools.</p>

Risk reduction through managed retreat? Investigating enabling conditions and assessing resettlement effects on community resilience in Metro Manila

Abstract. Managed retreat, a key strategy in climate change adaptation for areas with high hazard exposure, raises concerns due to its disruptive nature, vulnerability issues and overall risk in the new location. On-site upgrading or near-site resettlement is seen as more appropriate and effective compared to a relocation far from the former place of living. However, these conclusions often refer to only a very limited set of empirical case studies or do not sufficiently consider different context conditions and phases in resettlement. Against this background, this paper examines the conditions and factors contributing to community resilience of different resettlement projects in Metro Manila. In this urban agglomeration reside an estimated 500 000 informal households, with more than 100 000 occupying high-risk areas. In light of the already realized and anticipated climate change effects, this precarious living situation exposes families, already socio-economically vulnerable, to an increased risk of flooding. The response of the Philippine government to the vexing problem of informal dwellers has been large-scale resettlement from coasts, rivers and creeks to state-owned sites at urban fringes. However, only very few resettlement projects could be realized as in-city projects close to the original living space. The study employs a sequential mixed-method approach, integrating a large-scale quantitative household survey and focus group discussions (FGDs) for a robust comparison of resettlement types. Further, it reveals community-defined enabling factors for managed retreat as climate change adaptation strategy. Results indicate minor variations in well-being conditions between in-city and off-city resettlement, challenging the expected impact of a more urban setting on resilience. Instead, essential prerequisites for resettlement involve reduced hazard exposure, secure tenure and safety from crime. Beyond these essential conditions, social cohesion and institutional support systems emerge as significant influencers for the successful establishment of well-functioning new settlements. With this findings, the study contributes to the expanding body of literature on managed retreat, offering a comprehensive evaluation based on extensive datasets and providing entry points for the improvement of retreat as a climate change adaptation strategy.

Heterogeneous impacts of geopolitical risk factors on stock markets in the Middle East: A quantile regression analysis across four emerging economies

This study investigates the heterogeneous impacts of eight categories of geopolitical risk on stock market performance across different market conditions in four Middle Eastern economies: Egypt, Israel, Saudi Arabia, and Turkey. Utilizing Quantile regression analysis and datasets spanning from September 2002 to August 2023, our findings reveal the complex and varied relationships between geopolitical risk factors and stock market performance. These results underscore the significance of comprehending specific political risk factors and their influence under various market conditions. We observe a consistent negative relationship between military buildups and stock market performance in Egypt and Israel, while other categories exhibit mixed effects. The Saudi Arabian and Turkish markets demonstrate varied sensitivity to different risks, with terrorism and war-related events significantly affecting market dynamics. Notably, all four markets consistently displayed negative reactions to terrorist activities, indicating the universally disruptive nature of such events. Understanding these dynamics assists investors and policymakers in adapting to global political changes.

The disruptive nature of a 'poiesis of temporal rupture' in Pablo Katchadjian's Una Opportunity.

En este artículo se propone el análisis de Una oportunidad de Pablo Katchadjian bajo la propuesta de ‘poiesis de ruptura temporalʼ, pues la obra se estructura a partir de una narrativa fragmentaria y discontinua, lo que ayuda a crear una variabilidad en la unidad tiempo-espacio para ofrecer una nueva concepción de la espacialidad y de la ficción. Por tanto, el personaje-narrador, además de protagonista de la novela, parte del paradigma de la posibilidad del ser y estar para realizar un acto de escritura en donde el proceso cognitivo al cual recurre le ayudará a componer una novela de autoayuda que rompe con los esquemas tradicionales de creación literaria y de recepción.

Treatment for OCD and Their Effectiveness

This research looks at a variety of aspects related to obsessive-compulsive disorder (OCD), such as symptoms, possible factors diagnosis, and treatment methods. OCD's distinctive ritualistic compulsions, which frequently manifest as uncontrollable thought and behavior patterns, are brought on by distressing obsessions. According to this study neurotransmitter and Corticostriatal circuits abnormalities have been linked to this disorder, although the exact cause is still unknown. Increased susceptibility among blood relations of sick individuals suggests a role for genetics. Obsessions and compulsions are diagnosed based on predetermined criteria that highlight their irrationality and disruptive nature. The connection between obsessive thoughts and anxiety can be broken by a number of treatments, the foundation of which is behavioral therapy. By gradually confronting anxiety-inducing circumstances, exposure and response prevention (ERP) has proven successful. According to this paper the main objectives of cognitive therapy are to address dysfunctional thought processes, such as overestimating threats or taking on excessive responsibility. This paper contends that by cognitive-behavioral therapy (CBT) combining behavioral and cognitive elements is both economical and efficient. The studies under review in this paper demonstrate differences in treatment effectiveness, accentuating the necessity for more studies with larger sample sizes in making definitive judgments on treatment outcomes.

THE EFFECT OF BUY NOW, PAY LATER FINTECH ON TRADITIONAL FINANCIAL SERVICES AND CONSUMER BEHAVIOR IN SAUDI ARABIA

This research investigates the impacts of financial technology (Fintech) on traditional financial services and the emergence of Buy Now Pay Later (BNPL) companies within the Kingdom of Saudi Arabia. Fintech signifies a paradigmatic shift in the financial landscape, utilizing technology to transform banking, payment systems, investment strategies, and lending practices. The BNPL model, recognized for its disruptive nature, enables consumers to divide purchases into interest-free installments, thereby reshaping global consumer spending patterns. This study concentrates specifically on the Saudi Arabian context, where Fintech adoption is experiencing rapid growth. It scrutinizes the factors that influence BNPL adoption behavior among Saudi consumers, addressing a research void in localized studies. A sample of 100 consumer participants responded to an online survey. The statistical analysis underscores the strength, significance, and correlation between financial elements and the factors crucial to the decision-making process for BNPL adoption. The descriptive analysis of Independent Variables (IVs) encompassing Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), and Facilitating Conditions (FC) has provided significant insights into the perceptions of consumers regarding the adoption of Buy Now Pay Later (BNPL) services. The analysis has revealed noteworthy patterns in the data. Performance Expectancy (PE) demonstrates moderate perceptions (Mean = 2.98), indicating a measured belief in the usefulness of BNPL. Furthermore, Facilitating Conditions (FC) registered moderate scores (Mean = 3.04), underscoring the significance of favorable external factors. Collectively, these findings depict a moderate inclination and a generally positive outlook among respondents towards BNPL adoption, providing insights into the factors influencing their adoption behaviors. The research findings contribute to academic comprehension, provide insights for industry stakeholders, and inform the development of policies and regulations within Saudi Arabia's dynamic Fintech ecosystem. Future studies may utilize longitudinal studies, conduct cross-cultural comparisons, and explore technological integration in exploring the BNPL consumer behavior studies.

Murray, S. (2020). Disability and the posthuman: Bodies, technology, and cultural futures. Liverpool University Press

In Disability and the Posthuman: Bodies, Technology, and Cultural Futures (2020), Stuart F. Murray presents an insightful exploration of the intersections of posthumanism and disability studies and offers a compelling framework for understanding how these disciplines can mutually inform and enrich one another. Embedded firmly within critical disability studies, Murray explores the productive potentials of an encounter between posthumanism and disability studies. His analysis mainly focuses on the disruptive nature of disability and its implications for envisaging a posthumanist future. While integrating posthumanism with disability studies is not unprecedented, Murray distinguishes his work through a unique emphasis on cultural representations, contributing a fresh perspective to the literature.

Sustainability performance in science and technology parks: how can firms benefit most?

PurposeAchieving good sustainability performance requires balancing higher economic profits with better environmental and social performance. Knowledge plays a key role in improving corporate sustainability performance, but this knowledge is becoming increasingly complex, specific and dispersed among many scientific, technological and business actors. Science and technology parks (STPs) are infrastructures designed to host varying types of organizations that can bring together new, disruptive knowledge. Our purpose is to unveil how these spaces can be drivers of sustainability performance for companies.Design/methodology/approachWe test our hypotheses on a longitudinal database of Spanish companies over the period 2009–2016 using structural equation models (SEMs).FindingsThis research confirms that a firm’s location in an STP helps improve its sustainability performance, provided that conditions are optimal in the STP. These optimal conditions are based on an abundance of knowledge spillovers available to the firm and the firm’s ability to harness them, especially those of a more disruptive nature, through absorptive capacity.Originality/valueResults of this study yield implications for academia in the form of future lines of research and practical implications for policymakers and managers of both STPs and the organizations that host them.

Analysis of the interactions among core stakeholders of the Olympic media ecosystem: conditions for a value creation proposition of the Olympic Virtual Series

ABSTRACT One of the most visible examples of the disruptive nature of esports can be seen through its inclusion in the modern Olympic Games. Despite substantial initiatives deployed over the past ten years to strengthen ties between the Olympic Movement (OM) and the esports industry, research is still limited on the first edition of Olympic esports events. This study fills that void by investigating the conditions under which the relationships among Olympic Virtual Series’ (OVS) stakeholders can generate value for them. Using a qualitative approach based on the media ecosystem theory, we performed a thematic analysis of seven semi-structured interviews conducted with esports activities managers and marketers from International Sports Federations and one publisher. This work reveals how the inclusion of esports in the OM movement through the OVS reflects how esports’ increased popularity is disrupting modern media businesses. In addition, it demonstrates that the stakeholders involved in the first edition of the OVS faced many challenges in generating value. We identify key inhibitors, facilitators and challenges for OM stakeholders in the results.

Sang Culture: Social Comparisons of Generation Z Youths in China on Social Media

Sang Culture emerged among Chinese youth, showcasing digital expressions that encompass written words, audio clips, visuals and videos that portray feelings of despair and decadence. This phenomenon offers insight into the lived experiences and attitudes of Chinese Generation Z, commonly known as Gen Z. Rising from the challenges of the 2020 pandemic, the guarded and pessimistic mindset of this generation towards existential fears and uncertainties is distinctive, particularly on social media, where the youth find comfort in a sense of belonging, channelling their expressions through ironic wit and light-hearted jokes, resulting in not only personal healing but also shared amusement. While it is being embraced as a means of self-expression and discourse on societal norms, Sang Culture has faced criticism from conservative Chinese society for its perceived disruptive nature. In stark contrast to traditional beliefs and philosophies, Sang Culture and its cynicism are often considered a societal stain. Nevertheless, as China's youth continue to navigate their place in a rapidly changing society, Sang Culture remains a powerful force, reflecting the aspirations and frustrations of a generation seeking to carve out its own path. This study examined Gen Z through the Sang Culture on social media platforms and analysed social comparisons that emerge from the Sang Culture expressions online. The analysis deployed Festinger’s Social Comparison Theory and findings of this study underline how the creation of user-generated content concerning the Sang Culture compare their perceptions, beliefs, attitudes, and behaviours with those dictated or implied by societal realities. Keywords: Sang culture, generation Z, social media, user-generated content, social comparison theory.