Digital Age Research Articles

Joint Optimization of Age of Information and Energy Consumption in NR-V2X System Based on Deep Reinforcement Learning.

As autonomous driving may be the most important application scenario of the next generation, the development of wireless access technologies enabling reliable and low-latency vehicle communication becomes crucial. To address this, 3GPP has developed Vehicle-to-Everything (V2X) specifications based on 5G New Radio (NR) technology, where Mode 2 Side-Link (SL) communication resembles Mode 4 in LTE-V2X, allowing direct communication between vehicles. This supplements SL communication in LTE-V2X and represents the latest advancements in cellular V2X (C-V2X) with the improved performance of NR-V2X. However, in NR-V2X Mode 2, resource collisions still occur and thus degrade the age of information (AOI). Therefore, an interference cancellation method is employed to mitigate this impact by combining NR-V2X with Non-Orthogonal multiple access (NOMA) technology. In NR-V2X, when vehicles select smaller resource reservation intervals (RRIs), higher-frequency transmissions use more energy to reduce AoI. Hence, it is important to jointly considerAoI and communication energy consumption based on NR-V2X communication. Then, we formulate such an optimization problem and employ the Deep Reinforcement Learning (DRL) algorithm to compute the optimal transmission RRI and transmission power for each transmitting vehicle to reduce the energy consumption of each transmitting vehicle and the AoI of each receiving vehicle. Extensive simulations demonstrate the performance of our proposed algorithm.

Mapping the intellectual structure and evolution of information technology and auditing: a bibliometric review

The study presents a thorough bibliometric analysis of articles on information technology (IT) and auditing in the Web of Science Core Collection from 1978 to 2022. The study involves examining 2,991 articles out of a total of 7,738. It uses a two-step method that includes descriptive performance measures and co-word analysis. The descriptive metrics reveal publishing patterns, productive nations and authors, their impact on specific areas and journals, citation counts by country, and highly cited publications. Co-occurrence analysis maps connections between concepts, uncovering the intricate interplay within the field. The results show six main trends: more and more technology is being used in internal auditing; more people need to know about information security; the need for transparency in the digital age; how technology is making ethical auditing easier; progress in cloud-based auditing with blockchain; and the rise of post-COVID IT continuous auditing standards. These trends highlight the necessity for auditors to navigate evolving technological landscapes while prioritizing ethical considerations, data security, and privacy. Furthermore, the study identifies key authors, publications, and influential nations in this domain, offering valuable insights for industry stakeholders and fostering potential avenues for collaborative research. This study’s novelty lies in its systematic analysis of IT and auditing literature, illuminating significant trends and providing actionable insights for both industry leaders and researchers seeking to contribute to this evolving field.

Prevalence of Late-Stage Parkinson's Disease in the US Healthcare System: Insights from TriNetX.

Patients in late-stage Parkinson's disease (PDLS) are caregiver-dependent, have low quality of life, and higher healthcare costs. To estimate the prevalence of PDLS patients in the current US healthcare system. We downloaded the 2010-2022 data from the TriNetX Diamond claims network that consists of 92 US healthcare sites. PD was identified using standard diagnosis codes, and PDLS was identified by the usage of wheelchair dependence, personal care assistance, and/or presence of diagnoses of dementia. Age of PDLS identification and survival information were obtained and stratified by demographic and the disability subgroups. We identified 1,031,377 PD patients in the TriNetX database. Of these, 18.8% fitted our definition of PDLS (n = 194,297), and 10.2% met two or more late-stage criteria. Among all PDLS, the mean age of PDLS identification was 78.1 (±7.7) years, and 49% were already reported as deceased. PDLS patients were predominantly male (58.5%) with similar distribution across PDLS subgroups. The majority did not have race (71%) or ethnicity (69%) information, but for the available information >90% (n = 53,162) were White, 8.2% (n = 5121) Hispanic/Latino, 7.8% (n = 4557) Black, and <0.01% (n = 408) Asian. Of the PDLS cohort, 71.6% identified with dementia, 12.9% had personal care assistance, and 4.8% were wheelchair-bound. Late-stage patients are a significant part of the PD landscape in the current US healthcare system, and largely missed by traditional motor-based disability staging. It is imperative to include this population as a clinical, social, and research priority. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Promote or inhibit? Examining the influence of youth digital advocacy on digital social entrepreneurship

Purpose This study aims to investigates the impact of felt obligation for constructive change, constructive voices on social media and social media knowledge competence on digital social entrepreneurship among Indonesian youth. Design/methodology/approach This study uses Hayes’ process model to assess the stated hypotheses using survey data gathered from 489 Indonesian youth. Findings Youth with elevated social media knowledge competency might display diminished motivation to participate in digital social entrepreneurship, even when their felt obligation for constructive change remains robust. While promotive voice on social media mediates the relationship between felt obligation and digital social entrepreneurship, the notable absence of a mediating role for prohibitive voice on social media contradicts traditional Positive Youth Development (PYD) theory Research limitations/implications This research challenges conventional PYD theory by suggesting that youth with high social media knowledge competence may have reduced motivation for digital social entrepreneurship, despite a strong commitment to positive change. While promotive voice behavior mediates the relationship between felt obligation and digital entrepreneurship, the absence of mediation by prohibitive voice contradicts traditional PYD principles. This study expands the PYD framework, highlighting the challenges related to social media knowledge competence and prohibitive voice in engaging youth advocates for digital social entrepreneurship. It emphasizes the need to adapt PYD theory to address the complexities of the digital age effectively. Practical implications The findings offer valuable insights for students, aspiring young entrepreneurs, educators and policymakers interested in advancing the development of digital social entrepreneurship in a developing nation. Social implications This research offers valuable practical implications for policymakers, educators and society. It suggests the importance of nurturing a sense of responsibility among young individuals, enabling their active involvement in addressing issues like environmental degradation and discrimination. Creating supportive online communities for collaboration and constructive voice behavior on social media can provide judgment-free environments. Additionally, advocating for partnerships between youth and various stakeholders can boost resources, mentorship and funding opportunities, enhancing the prospects for impactful digital social entrepreneurship. Originality/value This study contributes to an underexplored area in the field of social entrepreneurship by investigating the intersection of youth, digital advocacy and digital social entrepreneurship. The incorporation of the PYD theory introduces a novel dimension to recent research in this domain

Digital Platforms as Enablers of MSMEs' Business Model Innovation: Revealing the Role of Capability Reconfigurations

This study aims to examine the impact of digital platforms on business model innovation within the MSME sector in Indonesia, addressing the contextual limitations found in previous study. Utilizing a comprehensive study design, this study investigates the roles of digital platform adoption, evolutionary capability reconfiguration, and substitutional capability reconfiguration in driving business model innovation. The study methods included hypothesis testing through partial least square structural equation modeling (PLS-SEM) on data collected from MSMEs in Sleman, Yogyakarta. The results reveal that while digital platform adoption alone does not directly enhance business model innovation, it significantly influences capability reconfiguration. Specifically, substitutional reconfiguration plays a critical role in transforming business models by integrating new, more efficient capabilities. Conversely, evolutionary reconfiguration, despite being influenced by digital platforms, does not have an immediate significant impact on business model innovation. These findings contribute to the theoretical understanding of dynamic capabilities, highlighting the importance of substitutional reconfiguration for rapid and significant innovation. Practically, the study provides valuable insights for MSME owners and managers on leveraging digital platforms to enhance their value chains and drive business model innovation, ensuring sustainability and competitive advantage in the digital age.

From metaverse to meta AI: a dynamic disruption in libraries in higher education institutions

Purpose The purpose of this paper is to examine the challenges and opportunities presented by the Metaverse and Meta artificial intelligence (AI) for libraries in Higher Education Institutions (HEIs) and to propose strategies for libraries to adapt and innovate in response to these disruptions. Design/methodology/approach This paper employs a qualitative approach, drawing upon literature review and analysis to explore the disruptive impact of emerging technologies, including the Metaverse and Meta AI, on libraries in HEIs. Findings The findings suggest that the convergence of the Metaverse and Meta AI is reshaping library services, altering user expectations and transforming information retrieval and management. While these disruptions pose challenges such as bias in AI algorithms and privacy concerns, they also offer opportunities for libraries to enhance user experiences, foster collaboration and expand their reach beyond physical boundaries. Research limitations/implications The findings of this paper highlight the need for libraries in HEIs to embrace change, prioritize user-centric design, foster innovation and promote digital literacy education. Following this, libraries will continue to fulfill their mission of supporting teaching, learning and research in the digital age. Originality/value This essay contributes to the existing literature by providing insights into the disruptive impact of emerging technologies on libraries in HEIs. The paper explores the intersection of the Metaverse, Meta AI and library services, as well as offers original perspectives on the evolving role of libraries in the digital era.

Empowering University Lecturers in the Digital Age: Exploring the Factors Influencing the Use of Digital Technologies in Higher Education

In an era where digital technologies (DTs) are reshaping educational delivery methods, university lecturers’ ability and willingness to integrate these innovations into their teaching practices are increasingly important. This study, conducted from October 2022 to February 2023, aims to examine the impact of attitude and training on university lecturers’ self-efficacy in using DTs and to assess the influence of self-efficacy on their interest in using DTs. A total of 294 university lecturers participated in the study and completed a questionnaire assessing their perception of DTs as a didactic tool, attitude towards the use of virtual classrooms, perceived self-efficacy, and interest in the use of DTs, and training in the use of DTs. Data were analyzed using descriptive statistics, correlations, and multiple linear regressions to explore the relationships between study variables. The results indicated that positive attitudes and suitable training were positively associated with higher self-efficacy. Moreover, high levels of self-efficacy were found to be aligned with an interest in using DTs. These findings shed light on key factors that can effectively encourage the successful adoption of DTs among lecturers.

A dual-head output network attack detection and classification approach for multi-energy systems

In today’s digital age, multi-energy systems (MES) have become an indispensable part of the social infrastructure, providing people with diversified energy support such as electricity, gas, water and so on. However, with the increasing popularity and networking of MES, the network security threats they face are becoming more and more serious, especially the threat of network attacks. This makes it essential to detect attacks on MES and precisely classify attack types in order to establish effective defense strategies. In this paper, a Dual-Head output network attack detection and classification method based on parallel CNN-BiLSTM network is proposed. The method adopts a parallel structure and can process different aspects of information at the same time, speeding up the training and inference process of the whole network, making the system respond more quickly to potential network attacks, and improving real-time and efficiency. The multi-model fusion structure can give full play to the advantages of CNN and BiLSTM in processing different types of data, so that the system can capture attack characteristics more comprehensively in many aspects, and improve the overall detection and classification performance. The dual-head output not only improves the system’s ability to accurately detect attacks, but also can effectively classify different types of attacks in detail, which helps to formulate more targeted defense strategies. In addition, in order to effectively evaluate our proposed method, the network traffic data required for the experiment were collected in an environment very similar to the actual operating environment of a multi-energy system. Finally, the experiment verifies that our method can not only realize effective detection of network attacks, but also accurately classify different types of attacks.

A State-of-the-Art Review in Big Data Management Engineering: Real-Life Case Studies, Challenges, and Future Research Directions

The explosion of data volume in the digital age has completely changed the corporate and industrial environments. In-depth analysis of large datasets to support strategic decision-making and innovation is the main focus of this paper’s exploration of big data management engineering. A thorough examination of the basic elements and approaches necessary for efficient big data use—data collecting, storage, processing, analysis, and visualization—is given in this paper. With real-life case studies from several sectors to complement our exploration of cutting-edge methods in big data management, we present useful applications and results. This document lists the difficulties in handling big data, such as guaranteeing scalability, governance, and data quality. It also describes possible future study paths to deal with these issues and promote ongoing creativity. The results stress the need to combine cutting-edge technology with industry standards to improve decision-making based on data. Through an analysis of approaches such as machine learning, real-time data processing, and predictive analytics, this paper offers insightful information to companies hoping to use big data as a strategic advantage. Lastly, this paper presents real-life use cases in different sectors and discusses future trends such as the utilization of big data by emerging technologies.

Analysis of Demographic Variables Affecting Digital Citizenship in Turkey

Abstract The new technologies generated by the digital age are changing how individuals and societies communicate, learn, work, and manage. Although digital citizenship is defined as the behavioral norms regarding the use of technology in the most general sense, it also includes ethical and appropriate behaviors and being informed about this issue while using technology. However, there is a generational gap in digital information and literacy. In this context, the research analyzes digital citizenship according to gender, age, number of children, job position, and education level. In this analysis, which was structured as exploratory research to examine the digital citizenship status of participants, the descriptive model was preferred over quantitative research models. According to the analysis results, it can be said that the participants’ digital citizenship behavior is in the range of “I am undecided” (at a moderate level). Citizenship behavior with the lowest score was “political activism on the internet.” The groups with a significantly higher level of digital citizenship are women, those between the ages of 22 and 42 working as managers, and those at the graduate level.

Pola Konsumsi Berita dalam Era Digital: Perbandingan Preferensi Generasi Z Terhadap Sumber Berita Tradisional dan Modern

People interaction has changed along with internet development. Digital news (internet-based) is beginning to alter classical ones. The development of social media and other digital platforms is a result of the Internet development. Reading comprehension and audience skills are undoubtedly impacted by this, particularly for Generation Z because of shifting preferences for news-based-content consumption. By comparing Generation Z's preferences for classical and digital news sources, this study aims to comprehend the trends of news consumption in the digital age. This study used a quantitative approach using a descriptive methodology by employing a valid and reliable questionnaire to collect data that were then randomly distributed to 85 communication science students in semesters 2, 4, 6, and 8. The study's findings explain why communication science students do not vary significantly from other Generation Z students in terms of their preferences for news sources or how they consume them. However, since they study communication science, they are more astute when consuming news from contemporary sources that often include false information or aren't grounded in reality.

Posibilidades y desafíos para una Universidad Nueva

This is a reflection on the possibilities of building a new university—not changing the current model of the university but renewing it. The extended implantation of imported, acritical, and decontextualized pedagogies has led to the challenge of finding alternatives based on the acquisition, analysis, and production of knowledge in situ, that is, bridging the knowledge of the global epistemological community and meaningful pedagogies for local contexts. To that aim, the role of the university in the era of information is discussed along with the effect of the irruption in Latin America of the Bologna Process.

Strategi Komunikasi Pemasaran K-Radio Jember dalam Mendapatkan Iklan

Radio is a medium that can only be heard and played once. In this digital era, radio is required to be able to develop and coexist with the internet era or the modern era. Currently, the internet makes it easier for people to obtain music, entertainment and information. Such as from Facebook, Twitter, Tiktok, Instagram, YouTube and other social media platforms. Therefore, radio must be able to maintain its existe bangghostmen@gmail.com, gusainul@gmail.com nce in the current digital era for the future of radio so that it remains standing and carries out operational activities every day. K-Radio maintains its existence by developing multiplatform. Researchers are interested in this radio because they want to explain the marketing communication strategies implemented by K-Radio in obtaining advertising. Therefore, the researcher raised this as the focus of the research. This research uses a qualitative method with a descriptive approach. This research aims to analyze and explain the marketing communication strategies used by K-Radio Jember in obtaining advertisements. The data collection techniques used were observation, interviews and documentation. The results of this research show that K-Radio Jember implements a marketing strategy by applying the concept of Experience and One Stop Shopping, Data and Portfolio, K-Radio Branding, Content Creativity on Multiplatform, and Promotions and Events. In the implementation process, the marketing communications strategy implemented by K-Radio Jember turned out to have several challenges, but these challenges can be overcome by developing multi-platforms and creating creativity and innovation in broadcast content and social media content

Decent work in a digital age: a comprehensive review of research and theory

Decent work in a digital age: a comprehensive review of research and theory

Redefining entrepreneurship in the digital age: exploring the impact of technology and collaboration on ventures

Redefining entrepreneurship in the digital age: exploring the impact of technology and collaboration on ventures

Big data analytics capability and social innovation: the mediating role of knowledge exploration and exploitation

While many organizations have successfully leveraged big data analytics capabilities to improve their performance, our understanding is limited on whether and how big data analytics capabilities affect social innovation in organizations. Based on the organizational information processing theory and the organizational learning theory, this study aims to investigate how big data analytics capabilities support social innovation, and how knowledge ambidexterity mediates this relationship. A total of 354 high-tech companies in China, this study shows that big data analytics management, big data analytics technology, and big data analytics personnel capabilities all have positive effects on social innovation. In addition, both knowledge exploration and knowledge exploitation play a mediating role in this process. Furthermore, a polynomial regression and response surface analysis shows that social innovation increases when knowledge exploration and knowledge exploitation are highly consistent but declines when knowledge exploration and knowledge exploitation are inconsistent. This study not only provides new perspectives for understanding how big data analytics capabilities contribute to social innovation, complementing the existing literature on big data analytics capabilities and social innovation, but also provides important practical guidance on how organizations can develop big data analytics capabilities to improve social innovation and solve social problems in the digital age.

Relationship between Neuromarketing and Online Purchasing Decisions of Peruvian Consumers in the Post-Pandemic Era

The pandemic has accelerated the transition toward e-commerce, highlighting the necessity of understanding how neuromarketing affects online purchasing decisions. This quantitative study, based on a correlational and cross-sectional design, explored the relationship between neuromarketing and purchasing decisions in virtual stores in northern Peru. Using a 40-item questionnaire, data from 498 adults in La Libertad and Lambayeque were collected. The analyses revealed significant correlations between cognition attention and the information search (rho=0.58) and alternative evaluation phases (rho=0.53), between emotion and the postpurchase stage (rho=0.54), and between memory and the recognition of need (rho=0.57), in addition to a strong direct association between cognition attention and the overall influence of neuromarketing on purchasing decisions (rho=0.72). These findings underscore the considerable impact of sensory and emotional experiences generated by neuromarketing on the critical stages of the purchasing behavior of Peruvian digital consumers, pointing to its relevance in enhancing customer satisfaction and loyalty in the digital age. In conclusion, various components of neuromarketing, specifically linked to the generation of pleasant and memorable sensory experiences, have a significant influence on the search, evaluation, and postpurchase satisfaction behaviors of virtual consumers in the region studied. Received: 3 March 2024 / Accepted: 13 June 2024 / Published: 02 July 2024

Probabilistic Models and Statistics for Electronic Financial Markets in the Digital Age

AbstractThe scope of this manuscript is to review some recent developments in statistics for discretely observed semimartingales which are motivated by applications for financial markets. Our journey through this area stops to take closer looks at a few selected topics discussing recent literature. We moreover highlight and explain the important role played by some classical concepts of probability and statistics. We focus on three main aspects: Testing for jumps; rough fractional stochastic volatility; and limit order microstructure noise. We review jump tests based on extreme value theory and complement the literature proposing new statistical methods. They are based on asymptotic theory of order statistics and the Rényi representation. The second stage of our journey visits a recent strand of research showing that volatility is rough. We further investigate this and establish a minimax lower bound exploring frontiers to what extent the regularity of latent volatility can be recovered in a more general framework. Finally, we discuss a stochastic boundary model with one-sided microstructure noise for high-frequency limit order prices and its probabilistic and statistical foundation.

Life Writing 2.0: Joanna Walsh, Technology, and the Politics of Sharing

ABSTRACT Joanna Walsh is an author and activist whose texts typify the contemporary synergy between life writing and technology. Here, I present an interview with Walsh, keynote speaker at the Life’s Not Personal Conference. I precede our conversation with an extended introduction exploring the breadth of her works, attending to the themes of life writing, technology, and the slippery boundaries of sharing in a digital age. In my reading, Walsh’s use of technology allows her to experiment with form to circumnavigate the limiting scripts that allow the popularised misogynistic descriptor ‘oversharing’ to operate, while creating new writing and reading communities.

The evolution of customer engagement in the digital era for business: A review and future research agenda

ABSTRACT This study explores the evolution of customer engagement in the digital era for businesses, a crucial concept in today’s interconnected marketplace facilitated by a variety of digital platforms. The study identifies a gap in the comprehensive understanding and conceptualisation of digital customer engagement across various social media platforms and mediums. By using a bibliometric analysis approach, this study reviews 547 articles published between 2010 and 2021, offering a holistic view of the existing research landscape. The analysis uncovers four distinct bibliometric clusters representing unique facets of customer engagement: brand engagement, behavioural insights, loyalty dynamics, and relationship dynamics. These clusters provide insights into the multifaceted nature of customer relationships and engagements facilitated by digital platforms. The study concludes by proposing seven future research directions, aiming to guide scholars in exploring uncharted territories in digital customer engagement and its implications for businesses in the digital age.