Authors - Sivakami B U, M. Suresh Abstract - In a world racing toward net-zero emissions, how can MSMEs strategically align their business operations to adopt green finance? Despite MSMEs’ growing recognition of sustainable development, they continue to face persistent challenges in aligning their strategies with green finance adoption due to financial, regulatory, and knowledge-related barriers. The extant literature provides limited insights into the strategic alignment for adopting green finance. To ad-dress this gap, the study develops a Fuzzy Logic-based assessment framework to evaluate alignment levels and identify weaker attributes. The framework specifies five criteria and nineteen attributes. Findings reveal a state of “moderately aligned” with four among nineteen attributes requiring immediate attention. The framework offers MSMEs a structured pathway to assess their alignment and strategically position themselves for green finance adoption and sustainable growth.
Authors - Premchand, Jayant Kalra, Ajoy Kumar, Sahil Sankhyan, Varun Dutt Abstract - Cardiovascular diseases (CVDs) continue to be the globe's leading cause of death, and therefore, there is a need for low-cost, long-term cardiac monitoring technologies especially in low-resource environments. Current wearable ECG technologies are limited by cost, proprietary design, and single functionality. We introduce ECG Go Device, a low-cost, portable, multifunctional, wearable device with real-time ECG monitoring, heart rate variability (HRV) analysis, fall detection, and step counting in one platform. The system utilizes a high-fidelity analog front-end and inertial sensing to provide mobility aware cardiac monitoring. A 44-subject validation trial compared ECG Go Device with a clinical-grade Shimmer3 ECG system and the Fitbit Sense 2 on 12 standard time-domain HRV measures and 10-day step count. The ECG Go Device demonstrated good agreement (all p > .05; r > .93) with Shimmer3, and high correlation in step count measure (r = .94). With clinically robust signal quality, real-time wireless transmission, and safety alert capability, ECG Go Device provides a scalable solution for longitudinal cardiac and mobility monitoring especially for eldercare and underserved communities.
Authors - Sarath M, M Suresh Abstract - Enterprise Resource Planning systems and Supply Chain Management systems shape how organizations plan, coordinate, and deliver goods and services. When they function together, they improve efficiency, visibility, and decision making. Research on this integration, however, is scattered across industries and viewpoints, making it hard to see the full picture. This study clarifies that picture through a Bibliometric Systematic Literature Review (B-SLR). A PRISMA-based review identified and screened relevant studies with clear criteria to ensure transparency. Ninety-nine publications from the Scopus database, covering 2020 to 2025, were retrieved. From these, twenty studies were selected for qualitative synthesis, while the full set underwent bibliometric analysis to map the field through performance metrics, collaboration networks, keyword co-occurrence, and thematic clusters. The results show a rising focus on ERP and SCM integration, driven by digital transformation and the demand for resilient supply chains. The analysis high-lights five recurring dimensions: scope, enabling technologies, outcomes, success factors, and barriers. These insights form a Five-Dimensional ERP and SCM Integration Framework that links theory with practice and provides a foundation for future research and implementation.
Authors - Kunihiko Takamatsu, Sayaka Matsumoto, Katsuhiko Murakami, Hidehiko Kamei, Kazuya Tsuruta, Naoya Honda, Yumi Ishige, Shimpei Matsumoto, Hiroya Kawasaki, Ikuhiro Noda, Kenya Bannaka, Tetsuhiro Gozu, Tomoyuki Sakai, Ryosuke Kozaki, Aoi Kishida, Hibiki Ito, Koichi Akashi, Sayaka Hama, Gerald Prescott, Masahiro Uchida, Akira Nakamura, Yasuhiro Kozaki, Tamotsu Mori, Shintaro Tajiri, Naruhiko Shiratori, Shotaro Imai, Kenichiro Mitsunari, Yasuo Nakata, Sachio Hirokawa,Masao Mori Abstract - This paper extends the Lifelong Sustainable Inquiry-based Community Learning (LSiCL) framework, based on Edu in formatics, to address challenges and opportunities presented by the rise of Large Language Models (LLMs) in education. LLMs like ChatGPT are fundamentally transforming education, with human-LLM and inter-LLM learning relationships opening new frontiers. This research explores whether the traditional human-to-human LSiCL can be meaningfully extended to encompass human-LLM and LLM-LLM interactions while retaining its core principle of collaborative inquiry. Our analysis demonstrates that LSiCL principles are applicable across all these configurations, paving the way for sustainable and scalable Human-LLM Learning ecosystems. This frame-work is crucial for improving resource efficiency, promoting educational equity, and enhancing global educational sustainability.
Authors - Nakhoon Baek Abstract - Since the computers are introduced, there have been many meaningful attempts to use computers as education tools. Additionally, the wide use of web servers on the internet makes video-on-demand services available especially in the entertainment area. They also developed digital video lectures, which record video lectures as digital contents, and provide them also as parts of video-on-demand services. During the COVID-19 pandemic in the year of 2020, almost all schools around the world provided digital video lectures. Since the digital video lectures can provide high-quality lectures to lots of people at relatively-low costs, it is now expected to be much actively used in near future. In this paper, we will present more details of what preparations and choices are possible, what to do, and what to avoid, in the process of providing digital video lectures, especially in the field of computer science. At this time, these kinds of literature surveys are seriously lacking, and thus, our case studies will be used to further improve the overall quality of digital video lectures and expand the e-learning markets. This paper will be a good starting point for providing check points and reference items to lecturers who prepare and provide digital video lectures.
Authors - Ikram Ahamed Mohamed, Hafiz Abdulla, Mohaideen Mohamed Mohabilasha, Fiyaz Ahmed, Pankaj Chandre, Parikshit Mahalle Abstract - With the surge in digital wallet usage across fintech platforms, secure and privacy preserving Know Your Customer (KYC) mechanisms have become increasingly critical. This survey reviews the current state of digital identity verification frameworks, emphasizing the challenges posed by centralized KYC models, including data breaches, lack of user consent, and regulatory fragmentation. We systematically analyze more than 50 recent studies and industry practices addressing privacy-preserving identity protocols, decentralized identity (DID) systems, cryptographic techniques (such as zero-knowledge proofs), and access control architectures. The paper proposes a reference architecture reKYC based on common patterns found in the literature, integrating layered components for identity verification, access governance, trust evaluation, and regulatory compliance. We classify existing approaches by their trust model, cryptographic basis, and consent mechanisms. Key gaps identified include limited regulatory interoperability, weak user-centric control models, and lack of scalable trust frameworks. This survey concludes with open research directions and a future outlook for secure, privacy-aligned digital wallet verification.
Authors - Ujwala Kshirsagar, Asmita Dani Abstract - The National Education Policy 2020 (NEP 2020) encourages the inclusion of an Indian Knowledge System (IKS) in the Higher education curriculum. In traditional Indian philosophy, the search for knowledge wisdom and truth was always seen as the highest goal of human life. The scholars made significant contributions in many fields likes mathematics, medicine, astronomy, engineering, surgery, architecture, navigation, shipbuilding, arts, yoga, and even chess. These valuable traditions and contributions should be preserved, studied, developed, and used in new ways through our education system to benefit future generations This paper focused on strategies for implementing IKS Indian Knowledge System into curriculum of higher education institutes, to roadmap efficient execution of IKS and impact of addition of IKS on modern syllabus.
Authors - Vikas Shah, Aarav Shah, Aarush Shah Abstract - The crowdfunding landscape, positioned at the intersection of entrepreneurship and technological innovation, compels organizations to address rising competitiveness while embedding corporate social responsibility (CSR) and advancing employee empowerment. Traditional crowdfunding approaches often struggle to meet the primary objectives due to inconsistent mechanisms to ac-count for regulatory changes, cultural diversity, and the demand for measurable social impact. A persistent limitation of existing practices is the absence of standardized frameworks and measurable indicators capable of capturing the organizational and societal value of crowdfunding. The paper introduces a Scenario-based Crowdfunding Framework (SCRF) that categorizes scenarios and defines actionable objectives to enhance alignment between CSR and employee empowerment. SCRF is a lightweight and adaptable methodology incorporating elementary mechanisms to evaluate, refine, and strengthen the social and organizational impact of crowdfunding. An empirical case study of crowdfunding for Artificial Intelligence (AI) initiatives and programs is performed, providing evidence of how scenario-based initiatives can serve as a strategic lever for CSR and employee empowerment in the context of Society 5.0. The research identifies key determinants influencing crowdfunding effectiveness and examines their implications for CSR integration and organizational engagement with scenario-driven analysis, governance cycle, and impact evaluations. The study ex-amines and contributes to accelerating CSR initiatives, positioning employees as empowered change agents, and advancing the broader societal vision of So-ciety 5.0.
Authors - Nurianna Thoha, Stephen Wijaya Abstract - The purpose of this research is to explore the motivational factors of Generation Y (Gen Y) to work in Chinese-owned garment companies and to analyze how these factors are linked to Herzberg’s theory of motivation and the Chinese business culture since based on the previous research many companies do not properly motivate Gen Y employees. A qualitative method by utilizing exploratory study was applied for this research. In-depth semi-structured inter-views with 25 Gen Y employees were conducted in two Chinese-owned garment companies in the Greater Jakarta area of Indonesia, to collect the primary data. The interviews were recorded, and the data was used to develop the transcripts, which were then analyzed using thematic data analysis. The research results showed that Herzberg’s theory of motivation and Guanxi are not always aligned with the motivations of Gen Y employees to work in Chinese-owned garment companies. For example, quality of relationship and status are aligned with Guanxi but not aligned with Herzberg’s theory of motivation. However, several Guanxi factors are aligned with Herzberg’s theory of motivation, such as trust and responsibility, and recognition. In conclusion, there is a connection between motivations, Chinese business culture, and generation cohort which is GenY employees who are currently working in both garment companies in the Greater Jakarta area of Indonesia.
Authors - Akash Patel, Hardik kumar Jayswal, Rishi Patel, Prem Trivedi Abstract - This paper provides an in-depth analysis of various methods and concluding things for plant disease detection and classification, utilizing combinations of machine learning and deep learning approaches. The literature review highlights three primary methods: computer vision-based ML models, DL architectures, and spectroscopy-based techniques. While computer vision methods, including segmentation and manual feature extraction, have been extensively used, they are time-consuming and less effective for datasets with minimal visible symptoms. Deep learning, with its capability for automatic feature extraction, demonstrates significant potential, although challenges such as high computational costs and overfitting persist. Spectroscopy methods present alternative strategies, yet they are not universally applicable across all types of plant diseases. Our analysis suggests that optimized methodologies, capable of handling diverse datasets and overcoming the limitations of visual-based techniques, are essential for the timely and accurate classification of plant diseases. Future research must ad-dress these challenges to develop more robust, scalable, and efficient disease detection systems.
