Advances In Digital Technology Research Articles

Right to Privacy in Digital Technology Act: Issues and Policy in India

The privacy of individuals, with the advent of digital technology and information age, has brought several new issues to the fore. Most countries in the world are facing this problem, as they are finding it difficult to strike a balance among the interests of citizens, government, national security, businesses and the corporate sector. The revolutionary growth of digital technology has led to violations of the right to privacy of individuals, which governments have been finding difficult to address. Underlying complexities are growing, given the dynamism of technology and the slowness of legal evolution, as the two are not able to keep pace. Individuals are at the mercy of the state and its agencies, which severely undermines democracy and the democratic ethos of the social, psychological and economic lives of citizens. India is no exception to the problem. Hence, the author has endeavoured to explore the concept of privacy and its changing dimensions, along with legal and policy responses within India.

Navigating digital transformation: Insights from recent studies on process automation and innovation

The integration of process automation and digital transformation is reshaping modern business practices, driving efficiency, innovation, and strategic agility. Studies reviewed provide comprehensive insights into how technologies such as Artificial Intelligence (AI), Robotic Process Automation (RPA), and the Internet of Things (IoT) are revolutionizing various sectors, particularly manufacturing and process industries. Research by Bichel et al. (2023) explores how AI and RPA are transforming workplaces, emphasizing the need for businesses to adapt to rapidly changing environments and promote employee creativity. Their study highlights the importance of establishing intelligent IT ecosystems and integrating new strategies across departments to leverage digital transformation effectively. Sjödin et al. (2018) focus on the development of "smart factories," which use advanced digital technologies to enhance operational efficiency, product quality, and sustainability. They identify the benefits of smart factories, including reduced costs and increased adaptability, while also noting the significant challenges of implementing such large-scale transformations. Their proposed maturity model emphasizes the need for cultivating digital skills, adopting agile processes, and using modular technologies. Chirumalla (2021) investigates how digitalization and Industry 4.0 technologies can improve process industries by enhancing product quality and operational flexibility. The study develops a framework with 19 dynamic capabilities for transitioning from traditional to digitally-enabled process innovations, identifying key challenges and enablers for successful implementation. Malik et al. (2021) examine the broad application of digital transformation across engineering domains, highlighting its role in automating traditional processes and addressing big-data challenges. The editorial presents 52 applications of digital transformation, showcasing advancements in areas such as cybersecurity, intelligent manufacturing, and advanced construction.

Identifying novel metrics of operative performance in surgical training: protocol for a Delphi consensus study

Abstract Introduction: Acquiring the technical and non-technical skills necessary to perform operations safely requires time and dedication. The learning curve is steep and regular feedback on operative performance is needed to help trainees identify strengths and development needs. Traditional methods of assessment are time consuming, prone to bias and lack reliability and scalability. Advances in digital technology in surgery have allowed for more objective measures of operative performance to be generated. Objective performance metrics can provide insights void of opinion and can complement and strengthen traditional methods of feedback. This protocol outlines a study that aims to reach consensus on which performance metrics are most relevant to surgical trainees and how they should be applied in training. Methods and analysis: A three-round electronic Delphi study will be used. Participants will be asked to rate the importance of statements relating to objective performance metrics in surgical training and the ways in which they could be applied. Statements will be created from extensive searches of the literature, discussion with experts and through a pilot. A panel consisting of trainees, trainers, researchers and institutions will be formed to participate in the study. Ethics and dissemination: Formal ethical approval has been granted for this study. Dissemination will be at surgical and education meetings, in addition to publication following peer review.

Revolutionizing Physical Activity: How Private Sector Physicians Harness Mobile Apps for Enhanced Health Outcomes.

The vital importance of engaging in physical activity for the maintenance and improvement of health is undeniable. The advent of digital technology has significantly enhanced the encouragement of physical activity (PA) through numerous interventions. Our study's goal is to examine the usage and prescription practices of mobile applications and fitness trackers by doctors operating in the private sector. cross-sectional study, which targeted doctors in the private sector, whether general practitioners or specialists was carried out in January and February 2024, A paper questionnaire was distributed to the doctors' offices. the mean age was 44.3±11.7 years, 77% of doctors are physically active, the prevalence of use of mobile applications and fitness trackers among private sector physicians for improving and monitoring their physical activity was 32% with a CI ranging from [26-40] % and only 15% recommend mobile apps to patients. This reluctance was attributed to the applications' lack of customization and the challenges patients faced in using them. In our research, we found that doctors rarely utilized mobile applications to enhance their practice of physical activity and were hesitant to recommend them to their patients.

Does digital transformation in enterprises reduce debt default risk?

With the rapid advancement of digital technology, the digital transformation of enterprises has become essential for enhancing competitiveness and achieving sustainable development. This paper aims to systematically examine the impact of digital transformation on debt default risk, using A-share listed companies from 2010 to 2022 as the research sample. The findings indicate that digital transformation significantly reduces the risk of debt default, and this conclusion is supported by a series of robustness tests. Heterogeneity analysis based on firm-specific characteristics reveals that companies with higher returns on assets, higher R&D investment, larger scale, higher debt-to-asset ratio, greater regional social trust, and higher information transparency experience a more pronounced risk mitigation effect from digital transformation. Mechanism tests demonstrate that digital transformation primarily lowers debt default risk through two channels: alleviating financing constraints and improving total factor productivity. Digital transformation more effectively reduces corporate debt default risk through foundational technologies compared to practical applications. These conclusions contribute to a deeper understanding of how digital transformation drives high-quality development in enterprises and provide a comprehensive assessment of the implementation effects of digital transformation.

Digital Media Era: Innovation and Development in College Art Education

In the context of rapid advancements in digital media technology, college art education faces unprecedented opportunities and challenges. This paper explores the application of digital media technology in art education, analyzes the innovative practices in college art education, and proposes strategic considerations for future development. Through the application of technologies such as digital painting, digital imaging and video art, interactive media, and game design, combined with curriculum reform, teaching method innovation, and teacher capacity building, this paper provides theoretical support and practical guidance for the innovation and development of college art education.

Digital finance and MSME performance in India: evidence from World Bank Enterprise Survey data

PurposeThe impact of digitalisation on smaller firms remains sparsely studied across emerging economies. The paper aims to examine the relationship between digital adoption and multiple performance parameters of micro, small and medium enterprises (MSME) in a prominent emerging economy.Design/methodology/approachThe study employs data from the World Bank Enterprise Survey (WBES) 2022, capturing 9,024 Indian MSME firms spread across the country. Performance indicators are derived from growth in sales, employment and labour productivity (LPROD). Multiple regression estimates are derived that also correct for sample selection bias using Heckman’s two-step process.FindingsDigital proliferation is found to increase as firms mature up in terms of age, size and constitution. A significant difference could also be observed in business performance across digital and non-digital businesses, with sales growth (SG) and productivity higher for digital firms. Digital financial variables are found to have a significant impact on SG but not as much in the case of employment growth and LPROD. The results are robust to correction for sample selection bias in digital adoption using inverse mills ratio (IMR).Practical implicationsThe study highlights digital adoption gaps across various strata of MSMEs, highlighting lower adoption when firms are younger, smaller and lacking formal constitutional setup. Digital variables indicating positive association with SG highlight the need for concerted efforts at the public policy level for building appropriate skills and infrastructure for micro and small enterprises to boost their digital adoption to promote growth.Originality/valueThere is a lack of micro-level empirical evidence measuring the impact of advanced digital technology usage on multiple aspects of enterprise performance amongst micro and small firms. The study deploys unique digital variables including TReDS and use of online credit applications to assess the impact on business performance. The findings provide insights for practice and public policy, besides making the case for a higher focus on launching digital initiatives for smaller enterprises.

Digital Platforms as a Fertile Ground for the Economic Sustainability of Startups: Assaying Scenarios, Actions, Plans, and Players

This study examines the transformative role of digital platforms in fostering sustainable entrepreneurship within emerging economies. We argue that platforms transcend mere communication channels, acting as catalysts for innovation and collaboration among startups, thereby driving economic, social, and environmental progress. Our framework emphasizes platform-enabled startups, navigating the unique challenges and opportunities presented by these dynamic markets. We adopt a dual lens, using a mixed-methods approach to analyze digital development trends through the prism of platforms in emerging economies. This reframes the discourse on technology-driven development, acknowledging the unidirectional flow of platform adoption from developed nations. The research emphasizes the need for prioritizing sustainability standards in these regions. Furthermore, we delve into the interplay between platforms and sustainable entrepreneurship with the following three objectives: (1) deciphering the drivers of platform–startup interaction for sustainability goals, (2) formulating policies to maximize platform benefits while mitigating risks, and (3) developing actionable strategies for stakeholders to cultivate a thriving ecosystem of sustainable platform-based ventures. The findings of this study reveal six key uncertainties that will shape the future trajectories of sustainable entrepreneurship within digital ecosystems, particularly in developing nations. These uncertainties encompass the following: environmental and social standards, ongoing education and development, mobile application development and utilization, global market access, and competitiveness and value creation. Several alternative future scenarios have been constructed based on these uncertainties, including advancements in digital technologies, dynamic market conditions and evolving consumer behaviors, a heightened emphasis on sustainability and corporate social responsibility, and a paradigm shift towards collaborative business models. A comprehensive framework of supportive policies and interventions has been proposed to facilitate the realization of these scenarios. Moreover, the analysis underscores the pivotal roles of digital platform providers and startups as key stakeholders in this evolving landscape.

Deep-learning-enabled temporally super-resolved multiplexed fringe projection profilometry: high-speed kHz 3D imaging with low-speed camera

AbstractRecent advances in imaging sensors and digital light projection technology have facilitated rapid progress in 3D optical sensing, enabling 3D surfaces of complex-shaped objects to be captured with high resolution and accuracy. Nevertheless, due to the inherent synchronous pattern projection and image acquisition mechanism, the temporal resolution of conventional structured light or fringe projection profilometry (FPP) based 3D imaging methods is still limited to the native detector frame rates. In this work, we demonstrate a new 3D imaging method, termed deep-learning-enabled multiplexed FPP (DLMFPP), that allows to achieve high-resolution and high-speed 3D imaging at near-one-order of magnitude-higher 3D frame rate with conventional low-speed cameras. By encoding temporal information in one multiplexed fringe pattern, DLMFPP harnesses deep neural networks embedded with Fourier transform, phase-shifting and ensemble learning to decompose the pattern and analyze separate fringes, furnishing a high signal-to-noise ratio and a ready-to-implement solution over conventional computational imaging techniques. We demonstrate this method by measuring different types of transient scenes, including rotating fan blades and bullet fired from a toy gun, at kHz using cameras of around 100 Hz. Experiential results establish that DLMFPP allows slow-scan cameras with their known advantages in terms of cost and spatial resolution to be used for high-speed 3D imaging tasks.

The Impact of Food Delivery Riders’ Perception of Fairness on Organizational Identification in the Digital Economy: Based on the Intermediary Perspective of Organizational Trust in the Context of Digital Technology

With the rapid rise in the gig economy driven by advancements in digital technology and financial technology, this study focuses on the work experiences and psychological perceptions of food delivery riders in platform-based employment. This study used a sample of food delivery riders from 19 cities in China (such as Shanghai, Beijing, Guangzhou, etc.) and multiple delivery platforms (such as Meituan, Ele.me) to collect data through a combination of online and offline questionnaires. The impact relationship between perceived fairness, organizational trust, and organizational identity of food delivery riders was examined through factor analysis, structural equation modeling, and mediation effect modeling. The results of the survey and statistical analysis indicate that fairness perception and its dimensions (distributive fairness, procedural fairness, and interactional fairness) significantly influence riders’ organizational identification, with organizational trust serving as a critical mediating factor. The integration of digital technology has substantially enhanced the operational efficiency of platform-based employment by enabling real-time tracking, transparent communication, and data-driven decision-making. Innovations in financial technology, such as digital payment systems and financial management tools, offer riders safer and more convenient compensation methods, thereby contributing to their financial stability and fostering trust in the platform. The establishment of trust alleviates the riders’ concerns regarding compensation stability and bolsters their optimistic attitudes toward accessing platform resources and meeting their needs. This study provides significant insights and recommendations for leveraging digital technology and financial technology to improve the relationship and operational efficiency between riders and platform enterprises.

Digital transformation as a catalyst for green innovation: An Examination of high-tech enterprises in China's Yangtze River Delta

Green innovation represents a foundational strategy for companies aiming for sustainable and superior growth. In the digital economy landscape, rapid advancements in digital technologies provide enterprises with renewed momentum for progression. Nevertheless, there is scant empirical evidence supporting its efficacy in enhancing environmentally responsible corporate innovation. In the present study, utilising the resource-based view, data were gathered from 571 high-tech firms in China's Yangtze River Delta via surveys. Through hierarchical regression analysis, the interaction between digital transformation and green innovation was examined, taking into account the moderating effect of market-driven environmental pressures. The results indicate that digital transformation substantially promotes green innovation, and this relationship is further positively affected by the presence of market-driven environmental pressures. The present research contributes to the enhancement of green innovation theories and broadens the scope of digitalization research, providing valuable insights for advancing a green, low-carbon circular economy in the digital context.

Instructional Technology Tetrahedron and Network Visualization: Conceptualizing Online Teaching Through a Lens of Reflective Noticing

AbstractOnline learning and teaching, accelerated by the global pandemic and rapid advancement of digital technology, require novel conceptual and analytical tools to understand better the evolving nature of online teaching. Drawing on the classical model of the instructional triangle and previous attempts to extend it, we propose the Instructional Technology Tetrahedron (ITT)—a conceptual framework that integrates technology into the instructional triangle to represent the role of technology, as a learning tool and a mediator between teachers, students, and content. Combining the ITT framework with network visualization strategies allowed for representing the intensity of interactions within the tetrahedron. We illustrate the affordances of the ITT framework by analyzing reflective noticing patterns of three prospective secondary teachers (PSTs) who reflected on the video recordings of their own online teaching, with each PST teaching four online lessons to groups of high-school students. We demonstrate the utility of the ITT framework to characterize individual noticing patterns, in a particular lesson and across time, and to support a variety of cross-case comparisons. The discussion sheds light on the broader implications of the ITT framework.

Comprehensive analysis of smart grids functionalities virtualization

The implementation of advanced digital technologies in the conventional electric grid has triggered a transformation towards an intelligent network, known as Smart Grid. The associated benefits are diverse, ranging from more efficient energy management and demand response to the distributed integration of renewable energy sources. Ultimately, this transition promotes a more reliable, sustainable, and cost-effective energy supply. In this context, there is increasing recognition of the advantages of employing intelligent at edge to provide redundancy, virtualize functions that were previously in different proprietary hardware in the same device, or introduce new functionalities into the electric grid. This study focuses on conducting a comprehensive analysis on the key aspects to consider when implementing virtualized solutions in substations. Strategies have been sought to ensure the optimal deployment of virtualized nodes within the electrical sector, taking into account factors such as functional requirements, facility types, virtualization methodologies, and node specifications, among others. Furthermore, throughout the study, several virtualization tools have been analysed to determine their feasibility and the advantages they offer when integrated into the Smart Grid.

Preparing learners for digitally mediated academic communication: Digital multimodal practice in students’ knowledge dissemination videos

The advancement of digital technologies requires English for Academic Purposes (EAP) education to incorporate digital-multimodal approaches in curriculum development to prepare learners for academic communication in this digital era. One such effort is the integration of digital multimodal composition (DMC). While the existing studies have investigated pedagogical practice involving DMC, there is still a lack of a systematic identification of the multi-semiotic communicative patterns in students' DMC performance. Using a systemic functional approach to multimodal discourse analysis (SF-MDA) and social semiotics approach to multimodality, the study aims to explore the patterns and characteristics of student-generated knowledge dissemination videos, a kind of DMC specifically pertaining to disciplinary communication targeting non-specialists. The analysis displays students' discursive patterns in the creation of interpersonal, ideational, and textual meanings. It is found that students excel in creating interpersonal meaning through configuring embodied and filmic modes and using popular visuals. However, their performance in conveying ideational and textual meaning needs improvement. Some students rely on technical language with unclear visuals, while others use a limited range of semiotics. Textual meaning created in the videos shows intermodal and intramodal incoherence. These findings can inform EAP course development and enhance students’ digital multimodal proficiency in academic communication.

Historic Built Environment Assessment and Management by Deep Learning Techniques: A Scoping Review

Recent advancements in digital technologies and automated analysis techniques applied to Historic Built Environment (HBE) demonstrate significant advantages in efficiently collecting and interpreting data for building conservation activities. Integrating digital image processing through Artificial Intelligence approaches further streamlines data analysis for diagnostic assessments. In this context, this paper presents a scoping review based on Scopus and Web of Science databases, following the PRISMA protocol, focusing on applying Deep Learning (DL) architectures for image-based classification of decay phenomena in the HBE, aiming to explore potential implementations in decision support system. From the literature screening process, 29 selected articles were analyzed according to methods for identifying buildings’ surface deterioration, cracks, and post-disaster damage at a district scale, with a particular focus on the innovative DL architectures developed, the accuracy of results obtained, and the classification methods adopted to understand limitations and strengths. The results highlight current research trends and the potential of DL approaches for diagnostic purposes in the built heritage conservation field, evaluating methods and tools for data acquisition and real-time monitoring, and emphasizing the advantages of implementing the adopted techniques in interoperable environments for information sharing among stakeholders. Future challenges involve implementing DL models in mobile apps, using sensors and IoT systems for on-site defect detection and long-term monitoring, integrating multimodal data from non-destructive inspection techniques, and establishing direct connections between data, intervention strategies, timing, and costs, thereby improving heritage diagnosis and management practices.

Development and validation of a secondary vocational school students’ digital learning competence scale

The rapid advancement of digital technology has not only affected the world of work but also students' learning. Digital learning competence (DLC) is one of the essential skills students need for effective learning in a digital environment. Despite the significant presence of secondary vocational school students in China, constituting one-third of the high school demographic, research on their digital learning needs remains sparse. Addressing this gap, this paper attempted to propose the elements and structural model of digital learning competence for secondary vocational school students (V-DLC). A corresponding questionnaire was compiled, and an analysis was carried out with 872 valid survey data of secondary vocational school students achieved by convenient sampling. A five-factor model for the V-DLC was established through exploratory and confirmatory factor analyses, cross-validity, and criterion validity tests. This paper suggests that evaluating students' digital learning competence in secondary vocational schools can be achieved by considering the dimensions of cognitive processing and reading, technology use, thinking skills, activity management, and will management, combined with students' learning experiences in school and other fields. Given the global focus on digital learning competence, this framework will pave the way for empirical research on digital learning and guide the enhancement of student learning ability in vocational settings, adapting to the digital era. Furthermore, transitioning to a digitalized vocational education system is essential for preparing students for a digitally-driven workforce, aligning with modern job market demands and global trends.

A framework for virtual learning in industrial engineering education: development of a reconfigurable virtual learning factory application

Advances in digital factory technologies are offering great potential to innovate higher education, by enabling innovative learning approaches based on virtual laboratories that increase the involvement of students while delivering realistic experiences. This article introduces a framework for the development of virtual learning applications by addressing multidisciplinary requirements. The implementation of the framework can be eased by the use of the proposed virtual learning factory application (VLFA), an open-source solution that takes advantage of virtual reality to support innovative higher-education learning activities in industrial engineering. A complete design and development workflow is described, starting from the identification of the requirements, to the design of software modules and underlying technologies, up to the final implementation. The framework and the VLFA have been tested to implement a serious game related to the design and analysis of manufacturing systems, also collecting the feedback of students and teachers.

Role and applications of advanced digital technologies in achieving sustainability in multimodal logistics operations: A systematic literature review

Integration of advanced digital technologies along with ensuring environmental sustainability in the logistics sector is becoming the need of the hour novel multimodal transportation concept. The rapid technological development in the era of industry 4.0 can not only create new opportunities in achieving highly efficient, intelligent, and smart logistics systems but also enable new business models for value addition, additionally, this novel system will also avoid environmental degradation and use of scarce natural resources that contribute to climate change. This paper summarizes the research trends of these technologies in multimodal logistics systems since 2005 through a systematic literature review. The results revealed a mixed picture of the situation, starting from emerging technologies like artificial intelligence, machine learning, and blockchain becoming key technological concepts for multimodal logistics systems to government policy hurdles and lack of impact breakthroughs in the industry. However, the results show that adaptation to these technologies improves the overall environmental, economic, and social sustainability of the system.

Can digital technology be affordable on industrial level? An exploration by integrating the sports and health industries.

While the significance of digital technologies like big data marketing is recognized in sport and health industries, the deployment is not in a fast pace as expected. Previous investigations argue that the financial issue can be the reason explaining such hesitation for sport and health firms to widely adopt advanced digital technologies. Through integrating firms in global sport and health industries, it is shown that the digital technology adoption can be negatively associated with firms' financial status. Therefore, the digital technologies are expensive, and the provision of sufficient financial incentives can be important to facilitate the promotion of digital technologies in sport and health industries.

Pengembangan Website Desa Wisata Sebagai Media Informasi Wisatawan Pada Desa Temesi

The tourism industry is undergoing significant changes with the advancement of digital technology, known as digital tourism. Digitalization has changed the way tourist destinations are promoted, accessed, and managed, including through the concept of rural tourism or tourism villages. Temesi Village in Gianyar Regency, Bali, has great natural and cultural tourism potential. However, to optimize this potential, digital media is needed, such as website creation. The WordPress platform was chosen for its advantages, including a large user community, ease of use, design flexibility, and data security. This step aligns with the digital village program supported by the Community Empowerment Agency and Primakara University. It is hoped that the creation of this website will introduce and promote the tourism potential of Temesi Village to the general public and tourists, as well as support sustainable tourism development in the area.