Digital Age Research Articles

IoT applications in asset management: A review of accounting and tracking techniques

In the digital age, the confluence of Internet of Things (IoT) technologies with asset management practices heralds a transformative era, promising unprecedented efficiency and strategic advantage. This paper delves into the intricacies of this integration, exploring the evolution, challenges, and potential of IoT in reshaping asset management paradigms. With a keen aim to elucidate the transformative impact of IoT and navigate the complexities of its integration into asset management systems, the study adopts a qualitative research methodology, underpinned by a systematic literature review. This approach enables a comprehensive exploration of the subject matter, ensuring a nuanced understanding of the IoT's potential and pitfalls within the asset management domain. The findings illuminate a landscape where IoT applications significantly enhance asset utilization rates, underscored by empirical success stories and quantifiable improvements in operational efficiency. However, the journey reveals barriers—technical, organizational, and cultural—that impede seamless IoT adoption. Addressing these challenges, the paper offers strategic recommendations, emphasizing the need for strategic alignment, inter-organisational collaboration, and robust data management strategies to overcome integration hurdles. Conclusively, the study not only achieves its aim of highlighting the potential of IoT in asset management but also charts a course for future endeavors in this field. It posits that the strategic integration of IoT technologies stands as a cornerstone for the next generation of asset management practices, promising a future marked by enhanced efficiency, economic viability, and strategic agility. The recommendations provided serve as a compass for organizations embarking on the IoT integration journey, guiding them towards a horizon of transformative potential.

Book Review: [R]evolusi Sastra di Era Komunikasi Digital: Perspektif Historis dan Teoretis

The digital era is a time when almost all areas of life have been assisted by digital technology. It is also interpreted as the emergence of digital technology, which replaces technologies previously used by humans, such as mechanics and electronics analogy. There has been a profusion of digital businesses under the tremendous effect of the internet and digital technology, including cloud computing, virtual reality, mobile devices, and IoTs. The digital age has profound implications for society and the economy since technology is more knowledge-based. In (R)evolusi Sastra di Era Komunikasi Digital: Perspektif Historis dan Teoretis, Ida Rochani Adi, the author, captures the lament of a scientific discipline facing the dilemma of technological change. From a theoretical and historical perspective, this book offers a framework for responding to developments in the digital world of literature, which causes the dynamic understanding of literary works depending on the angle from which the literary work is interpreted. Not only explaining views, thoughts, and theories that have previously developed regarding literary works and criticism, social sciences, humanities, cultural studies, and media, but this book also offers thought, reflection, and development of literary works' ideas in the digital world’s frenetic development.

Comparing Attitudes Toward Different Consent Mediums: Semistructured Qualitative Study.

As consent for data sharing evolves with the digital age, plain-text consent is not the only format in which information can be presented. However, designing a good consent form is highly challenging. The addition of graphics, video, and other mediums to use can vary widely in effectiveness; and improper use can be detrimental to users. This study aims to explore the expectations and experiences of adults toward consent given in infographic, video, text, newsletter, and comic forms in a health data sharing scenario to better understand the appropriateness of different mediums and identify elements of each medium that most affect engagement with the content. We designed mock consent forms in infographic, video, text, newsletter, and comic versions. Semistructured interviews were conducted with adults who were interviewed about their expectations for consent and were then shown each consent medium and asked about engaging elements across mediums, preferences for consent mediums, and the value of document quality criteria. We transcribed and qualitatively co-coded to identify themes and perform analyses. We interviewed 24 users and identified different thematic archetypes based on participant goals, such as the Trust Seeker, who considered their own understanding and trust in organizations when making decisions. The infographic was ranked first for enhancing understanding, prioritizing information, and maintaining the proper audience fit for serious consent in health data sharing scenarios. In addition, specific elements such as structure, step-by-step organization, and readability were preferred engaging elements. We identified archetypes to better understand user needs and elements that can be targeted to enhance user engagement with consent forms; this can help inform the design of more effective consent in the future. Overall, preferences for mediums are highly contextual, and more research should be done.

Evaluation of Instrument Design to Explore China's Virtual Learning Environments on University Students’ Critical Thinking

This research looks at the design, validation, and usability of a survey questionnaire to examine the influence of Virtual Learning Environments (VLEs) on critical thinking among Chinese university students. The significance of critical thinking in the digital age, as well as the increasing integration of VLEs into China's educational system, particularly after COVID-19, highlight the study's relevance. In essence, this study's goal is to fill a vacuum in the present literature about the efficiency of VLEs in improving critical thinking abilities, which will result in the development of a unique assessment instrument. The earlier process consisted of a thorough literature study to design the survey instrument, but this is not covered in this paper. As findings, feedback from university students and expert reviewers serves as the foundation for updating the questionnaire, assuring its relevance and usability. Initial results reveal a generally good response to the questionnaire's usability and relevance, emphasizing its potential as a data gathering tool. However, clarity and involvement were noted as opportunities for growth. Further discussions center on the relevance of these results for educational methods and future research, particularly in optimizing VLEs to develop critical thinking. As implications, this research emphasizes the need of culturally and contextually sensitive survey designs for increasing participant engagement and data authenticity. The feedback-driven changes point to more effective and inclusive educational tools that meet the changing needs of digital learning settings.

Reshaping of Dating Culture through the Presence of Online Dating Application

Online dating is an inevitable phenomenon in this digital age. The close interaction of digital natives with the internet makes them seem to entrust all activities in their lives to the internet, including dating and finding a mate. This makes them more likely to use online dating applications. This thesis investigates the drivers of the use of online dating applications by the digital natives, their opinions about online dating application and how the use of such application is different or the same between Indonesians and Americans. Data collection techniques are using questionnaire and interview. The secondary data in this study were obtained from other sources such as research results presented on the official website. This research found that there are many factors that influence digital natives in using online dating applications. This study reveals an array of eastern philosophical ideas, such as the predominance of female gendered application users in Indonesia, which implies that the gender line has become more ambiguous.

A Study on Work-Life Balance of Women in the Digital World

Abstract: This study explores the vast dynamics of women's work-life balance if they are employees in the digital world. The study looks into how well the female employees can balance between their professional responsibilities and personal lives. The study addresses the challenges that women face in the digital age, such as managing the boundaries between work and home life, the effects of constant connectivity, and the possible benefits and drawbacks of remote employment in terms of work-life balance

Real-Time News Aggregation Using ReactJS: A Case Study and Analysis

Abstract: Real-time news aggregation has become increasingly vital in the digital age, where access to upto-date information is crucial for individuals and organizations alike. This paper presents a comprehensive study on the development of a real-time news application using ReactJS, a popular JavaScript library for building user interfaces. The study explores the significance of real-time updates in news applications, reviews existing literature on news aggregation platforms and ReactJS development, and identifies gaps in the current research landscape. The proposed system leverages ReactJS's flexibility and efficiency to create an intuitive user interface for accessing and interacting with real-time news content. Through integration with external APIs such as News API, the application fetches news articles from various sources and presents them to users in a timely manner.

“FIT FUEL: A Diet Planner Platform Using Web Technology”

Abstract: In today's fast-paced world, maintaining a healthy lifestyle has become a significant concern for many individuals. The "FIT FUEL" project introduces a cutting-edge solution in the form of a web-based diet planner platform that leverages modern technology to assist users in achieving their fitness goals. By incorporating user-provided data such as height, weight, and desired weight management goals (gain, lose, or maintain weight), the platform calculates Basal Metabolic Rate (BMR) and suggests personalized diet plans for breakfast, lunch, and dinner. One of the key innovations of FIT FUEL is its integration of Application Programming Interfaces (APIs) to fetch a diverse range of recipes, ensuring that users have access to a wide variety of meal options that align with their nutritional requirements and preferences. This platform not only facilitates calorie tracking but also promotes balanced nutrition and dietary diversity. The research paper discusses the design, implementation, and functionality of the FIT FUEL platform, highlighting its usercentric approach and the utilization of web technology to deliver a seamless and engaging experience. Additionally, the paper explores the potential impact of such digital tools on promoting healthy eating habits and overall wellness among individuals. Through this research, FIT FUEL aims to contribute to the growing field of digital health technologies, offering a practical solution for individuals seeking a personalized and effective approach to managing their diet and fitness journey in today's digital age.

The The Application of E-Government in the Development of Village Government Democracy in Gowa Regency Indonesia

The use of e-government in Gowa Regency's villages to improve democracy is the subject of this study. The primary issue facing village governance in the digital age is how information technology may be used to increase citizen participation, transparency, and accountability. This study is unique in that it examines how e-government interacts with the still-unexplored village governance context. The main inquiries this study aims to address are: What ways may the Gowa Regency's village governments be made more democratic through the use of e-government ? In three villages in Gowa Regency, case studies were used in the research method, which was qualitative. Observation, interviews, documentation, and literature review were used to gather data. According to the findings, using e-government improved community engagement, boosted budget management transparency, and promoted village government accountability. The major finding is that e-government has a lot of promise to improve village governance through democracy. The necessity for digital literacy and a strong technological foundation, as well as the importance of village governments in promoting public engagement and ensuring openness and accountability in the use of information technology, are all important implications. This study adds significantly to the local and international literature on e-government and local democracy by providing a new understanding of how e-government is used to strengthen democracy in the context of village governance.

Understanding employee experiences with technology integration in Indian industries: A qualitative study

The study explores the influence of technology utilization in the working lives of employees within Indian industries and considers the difficulties, ways, and recommendations that such a thing demands. It utilizes a qualitative research method approach to figure out the role of employees in the process of technology integration. Thematic analysis operates by detecting the prevalent motifs and ideas in the interview data, which gives an insight into the effects of technology on employee experiences. The sample distribution of the strategic defensive PSU in KGF, Karnataka, India includes representatives of skilled workers, unskilled workers and employees from the HR department. The results underline the integration of technology, adaptation strategies for employees, and challenges faced by employees, as well as things the HR professionals and organizations may need to consider in dealing with the technology. The research paper articulates this fact by calling for the combination of inclusive diversity programs, transparent leadership, and continuous learning processes to achieve the desired outcome of managing employee welfare and inequality in the digital age.

Leveraging artificial intelligence for enhanced supply chain optimization

This study provides a comprehensive review of the integration of Artificial Intelligence (AI) into Supply Chain Management (SCM), focusing on its impact on operational efficiency, strategic innovation, and sustainability. Employing a systematic literature review and content analysis methodology, the research synthesizes findings from peer-reviewed articles and conference papers published between 2013 and 2023. The study identifies key advancements in AI technologies, such as machine learning, natural language processing, and robotics, and their applications across various supply chain processes including demand forecasting, inventory management, and logistics optimization. Key findings reveal that AI significantly enhances supply chain efficiency by improving decision-making, reducing costs, and optimizing resource allocation. However, challenges such as data privacy concerns, ethical considerations, and the need for skilled personnel emerge as critical factors influencing AI adoption in SCM. The future outlook for AI-enhanced supply chains is promising, with potential for further innovation and resilience, albeit contingent upon addressing existing challenges. The study concludes with strategic recommendations for practitioners and policymakers, emphasizing the importance of fostering a culture of innovation, developing digital competencies, and creating supportive regulatory frameworks for AI integration. Directions for future research include exploring the long-term impacts of AI on supply chain sustainability, ethical implications of autonomous systems, and the interplay between AI and emerging technologies. This research contributes to the academic discourse on AI in SCM, offering insights for enhancing supply chain operations in the digital age.

The Impact of Artificial Intelligence on Personalized Marketing

Abstract: Artificial intelligence (AI) has become increasingly prevalent in various industries, revolutionizing traditional practices and introducing novel approaches. One such domain significantly influenced by AI is marketing, particularly in the realm of personalized marketing. Personalized marketing aims to tailor promotional efforts to individual consumers based on their preferences, behaviours, and demographics. The integration of AI technologies in personalized marketing strategies has promised to enhance targeting accuracy, improve customer engagement, and ultimately drive higher conversion rates Consequently, investigating the impact of AI on personalized marketing holds substantial significance in understanding the evolving dynamics of consumer-brand interactions in the digital age.

Strategic Communications in the Digital Age: Crafting Effective Project Communication Plans to Enhance Enterprise Efficiency

Strategic Communications in the Digital Age: Crafting Effective Project Communication Plans to Enhance Enterprise Efficiency

Malaysian Chinese folk beliefs on Facebook based on LDA topic modelling

In the digital age, as social media evolves into a new and significant centre for the dissemination of Chinese folk beliefs, the Malaysian Chinese have actively shared information about these folk beliefs on their social media platforms. The dissemination has transcended regional barriers, encouraging more Malaysian Chinese across various states to actively participate in public discussions on this topic. This study delves into Malaysian Chinese folk beliefs by analysing data from Facebook. A comprehensive examination of 4012 text posts was conducted using the latent Dirichlet allocation (LDA) model for topic modelling. The analysis identified four main themes on social media: ‘Practitioners Worship’, ‘Temple Activities’, ‘Deity Legends’, and ‘Merchandise about Deity Statues’. Based on integrating social construction theory and media ecology theory, the study first explores the varied constructors, including practitioners, temple organisations, media organisations, and merchants. Secondly, Malaysian Chinese folk beliefs on social media present characteristics of utilitarianism, regional diversity, multiple social functions, flowing realms, strong Taoist elements, commercialisation, and a close relationship with the Spring Festival. Furthermore, ‘Safety and Peace’, ‘Pray for Demands’, and ‘Merits and Virtues’ form an interconnected semantic nexus. Hence, the findings theoretically highlight the interaction and significance of social media in the construction and practice of folk beliefs within the Malaysian Chinese community. Practically, this research provides valuable insights into the understanding and dissemination of Malaysian Chinese religious culture in the digital era.

Deep fakes Detection Using Human Eye Blinking Pattern: Deep Vision

Abstract: Deepfake technology is developing rapidly and has the ability to create fake videos that pose a threat to people. Modern depth detection methods often rely on facial disparity, but as technology advances these methods become obsolete. In this study, we propose a new method for deepfake detection based on observation of human eye blink patterns. Human eye blinking is a natural and involuntary action that is difficult to accurately replicate in deepfake video. In our study, we used the unique characteristics of individual blink patterns, which are influenced by many factors such as genetics, muscle tone and unconscious reflexes. We use computer vision and machine learning techniques to extract and identify these patterns from video clips. Our preliminary tests show good results in detecting deepfakes with high accuracy. We are focused on continuing to support the fight against the spread of fraud by focusing on a part of human behaviour that is difficult to replicate. This approach has the potential to improve existing tools for in-depth discovery and increase the overall security and reliability of multimedia content in the digital age. This research opens new avenues for the development of more robust, reliable and flexible deep recognition technologies. This represents a significant step forward in the ongoing fight against malicious misuse of electronic devices.

Production Chain Organization in the Digital Age: Information Technology Use and Vertical Integration in U.S. Manufacturing

Advances in information technology (IT) may affect the organizational design of production. Exploiting the rapid diffusion of the internet in the United States, we assess the sensitivity of production chain organization to this innovation in IT access and use. Extending theories of the firm that recognize the importance of downstream transfers (selling as opposed to sourcing) and plural governance in organizational design, we predict IT-driven shifts in downstream vertical integration. In a detailed panel of Census Bureau data for over 5,600 manufacturing plants, we observe the extent of a production unit’s downstream transactions within the firm alongside concurrent sales to external customers—a mix we refer to as plural selling. Our main finding is that the use of the internet for external coordination precipitated a significant decline in downstream vertical integration across the manufacturing sector. Instrumental variables estimation points to a causal relationship but also heterogeneous treatment effects. Key drivers of plural organization, such as complementarities and constraints across differently governed transactions, help explain such heterogeneity, as does concurrent use of internal production management IT. Our study is the first study to leverage a plural governance framework and large-scale microdata to understand how U.S. production chain organization shifted in response to this rapid and far-reaching technological change. This paper was accepted by David Simchi-Levi, information systems. Funding: This research was performed at the Atlanta, Boston, and Cornell (supported by the Cornell Center for the Social Sciences) Federal Statistical Research Data Centers [Project 1069 (CBDRB-FY22-279)]. Support for the Research Data Centers network from the National Science Foundation [Grant ITR-0427889] is gratefully acknowledged, as is support from the Social Sciences and Humanities Research Council of Canada. Supplemental Material: The online appendix is available at https://doi.org/10.1287/mnsc.2019.01586 .

AI Enabled Fitness Analyser

In today's fast-paced world, maintaining a healthy lifestyle is paramount for overall well- being. In line with this goal, we present Diet-Fit, an innovative application designed to revolutionize fitness tracking and dietary planning. By integrating a diet planner and exercise tracker, Diet-Fit aims to empower users to take control of their health and make informed lifestyle choices. Leveraging state- of-the-art technologies such as Mediapipe and OpenCV, the application offers advanced pose detection capabilities, accurately detecting exercise poses, counting repetitions, and tracking calories burned during workouts. Through personalized workout routines and dietary recommendations, Diet-Fit seeks to improve overall fitness levels and promote healthier lifestyle habits among users. By harnessing the power of artificial intelligence and computer vision, Diet-Fit represents a significant step towards enhancing fitness tracking and fostering a culture of wellness in the digital age.

Examining the duality of Immersive Artificial Intelligence AI in the Luxury Hospitality Sector : Understanding How Immersive AI Influences Consumer distinction and Adds Value to Luxury Experiences

This study examines the duality of immersive artificial intelligence AI in the luxury hospitality sector,focusing on how immersive AI influences consumer distinction and adds value to luxury experiences.Through a comprehensive review of literature, key findings and insights are synthesized to provide a holistic understanding of the opportunities and challenges associated with the integration of immersive AI technologies, including virtual reality VR, augmented reality AR, and personalized AI assistants, in luxury hospitality. The analysis reveals that immersive AI holds significant promise for luxury brands to enhance guest engagement, satisfaction, and loyalty by offering personalized, memorable experiences that resonate with discerning consumers. However, the adoption and implementation of immersive AI also present challenges, including concerns around authenticity, human connection, data privacy, security, and ethical implications. By prioritizing authenticity, transparency, innovation, sustainability, diversity, data driven optimization, and customer centricity, luxury brands can unlock the full potential of immersive AI to create truly differentiated and memorable experiences for discerning consumers. This study highlights the need for further research and practice to address gaps and limitations in understanding the long term impacts of immersive AI, factors influencing guest acceptance and adoption, emerging trends and challenges, ethical considerations, economic viability, operational challenges, and the impact on the employee experience. By addressing these gaps, researchers and practitioners can advance knowledge and inform strategies for effective and responsible implementation of immersive AI in luxury hospitality, thereby shaping the future of luxury experiences in the digital age.

A face of one’s own: The role of an online personae in a digital age and the right to control one’s own online personae in the presence of digital hacking

In the post-Covid world, our online personae have become increasingly essential mechanisms for presenting ourselves to the world. Simultaneously, new techniques for hacking online personae have become more widely available, easier to use, and more convincing. This combination, of greater reliance on online personae and easier malicious hacking, has created serious societal problems. Techniques for training users to detect false content have proved ineffective. Unfortunately, legal remedies for dealing with hacked personae have also been inadequate. Consequently, the only remaining alternative is to limit the posting of false content. In this discussion paper, we provide an overview of online personae hacking. As potential remedies, we propose to redesign search engine and social media algorithms allowing platforms to detect and restrict harmful false content and a new fundamental right for the EU Charter that would provide legal justification for platforms to protect online reputations. For those platforms that might choose not to protect online reputations, this new right would require that they do so.

Advanced Social Media Toxic Comments Detection System Using AI

Abstract: In the contemporary digital landscape, social media platforms have evolved into essential components of our daily lives, fostering connections, idea sharing, and meaningful conversations. Nevertheless, the escalating volume of online interactions has ushered in a concerning rise in toxic comments and cyberbullying, casting a shadow over the potential for a healthy onlineenvironment. Toxic comments, spanning hate speech, harassment, and offensive content, not only inflict harm on individuals but also detrimentally affect the overall user experience. This project seeks to address this pressing issue through the development of a cutting-edge Toxic Comment Detection system, leveraging the power of Natural Language Processing (NLP) and Machine Learning (ML) techniques. The primary objective of this endeavor is to create an automated system capable of identifying and flagging toxic comments in realtime across various social media platforms. By employing advanced NLP algorithms and ML models, the system aims to analyze textual content swiftly and accurately, pinpointing instances of toxicity. Once identified, the system will promptly notify moderators, enabling swift intervention and potential removal of the harmful content. By implementing this technological solution, the project aspires to contribute significantly to fostering a safer and more inclusive online environment where users can engage without fear of encountering toxic behavior. Through the fusion of NLP and ML, this endeavor aims to exemplify the transformative potential of technology in mitigating the challenges posed by toxic comments in the digital age.