Abstract The integration of Artificial Intelligence (AI) into marketing is transforming the way organisations understand customer preferences, predict buying behaviour and design personalised marketing strategies. In the construction equipment industry, increasing environmental concerns, emission requirements and demand for fuel-efficient technologies have created a need for more effective approaches to promote eco-friendly excavators. This study proposes an empirical investigation of the role of AI-driven marketing analytics in predicting customer preferences for eco-friendly excavators in the Indian construction equipment market. Drawing upon the Theory of Planned Behavior (TPB) and the Antecedents-Decisions-Outcomes (ADO) framework, the study examines the influence of AI-enabled personalisation, predictive analytics, environmental awareness and perceived usefulness of AI-based recommendations on customer preference for eco-friendly excavators. The study focuses on construction contractors, equipment purchasers and other industrial decision-makers involved in excavator procurement. A structured questionnaire using a five-point Likert scale is proposed for primary data collection. Descriptive statistics, reliability analysis, correlation and regression analysis can be employed to examine the proposed relationships. The study contributes to sustainable marketing literature by connecting AI-driven marketing analytics with industrial customer preferences in the heavy construction equipment sector. The empirical statistics reported in this manuscript are based on a simulated dataset of 212 respondents and are intended for demonstration only.
Pritam Bhambure, Nilesh Bankar· Zenodo (CERN European Organi...· 0 citations
Abstract Digital transformation has become one of the most influential forces reshaping modern business organizations and e-commerce worldwide. Rapid advancements in technologies such as artificial intelligence, cloud computing, big data analytics, blockchain, and the Internet of Things have significantly changed the way organizations create value, interact with customers, and compete in the global marketplace. This paper examines the role of digital transformation in enhancing business performance and accelerating the growth of e-commerce. It discusses the opportunities created through digital innovation, including improved operational efficiency, enhanced customer experience, data-driven decision-making, and expanded market reach. The paper also highlights major challenges such as cybersecurity threats, data privacy concerns, high implementation costs, and the need for continuous skill development. Based on a review of recent literature and contemporary business practices, the study proposes strategic recommendations that can help organizations successfully implement digital transformation initiatives and achieve sustainable competitive advantage. The findings indicate that businesses embracing digital transformation are better positioned to respond to market changes, improve customer satisfaction, and achieve long-term growth.
Krishna G. Gore, Pratiksha D Shelke· Zenodo (CERN European Organi...· 0 citations
Abstract The integration of Artificial Intelligence (AI) into the Indian judiciary represents a paradigm shift toward modernizing legal administration, enhancing processing efficiencies, and addressing massive case backlogs that have historically strained the justice delivery system. India's judiciary, burdened by one of the largest case pendency figures in the world, has increasingly turned toward digital and computational tools to reduce procedural delay without compromising the constitutional guarantees owed to litigants. This comprehensive research article evaluates operational deployments, administrative obstacles, and Supreme Court directives governing AI usage under the e-Courts framework. It examines the operational boundaries established by the Supreme Court White Paper, the active AI assistive ecosystem (including SUVAS, SUPACE, and LegRAA), legal integrity and professional accountability concerning generative AI hallucinations, and structural process engineering integrated under Phase-III. The study further situates these developments within a constitutional and comparative framework, arguing that India's cautious, human-centred model of AI adoption offers a template that other developing judiciaries may study as they confront similar backlogs, resource constraints, and linguistic diversity. The paper concludes that sustained capacity building, rigorous ethical audits, and close collaboration between the legal profession and technologists will determine whether AI ultimately strengthens, rather than erodes, public confidence in the administration of justice.
Rajwant Singh Kadamb· Zenodo (CERN European Organi...· 0 citations
Abstract Digital transformation has become one of the most influential forces reshaping modern business organizations and e-commerce worldwide. Rapid advancements in technologies such as artificial intelligence, cloud computing, big data analytics, blockchain, and the Internet of Things have significantly changed the way organizations create value, interact with customers, and compete in the global marketplace. This paper examines the role of digital transformation in enhancing business performance and accelerating the growth of e-commerce. It discusses the opportunities created through digital innovation, including improved operational efficiency, enhanced customer experience, data-driven decision-making, and expanded market reach. The paper also highlights major challenges such as cybersecurity threats, data privacy concerns, high implementation costs, and the need for continuous skill development. Based on a review of recent literature and contemporary business practices, the study proposes strategic recommendations that can help organizations successfully implement digital transformation initiatives and achieve sustainable competitive advantage. The findings indicate that businesses embracing digital transformation are better positioned to respond to market changes, improve customer satisfaction, and achieve long-term growth.
Krishna G. Gore, Pratiksha D Shelke· Zenodo (CERN European Organi...· 0 citations
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Abstract Artificial Intelligence (AI) has emerged as one of the most transformative technologies of the twenty-first century, influencing sectors such as healthcare, education, finance, governance, transportation, and communication. While AI offers unprecedented opportunities for innovation, productivity, and efficiency, it also presents serious ethical and legal concerns that challenge existing social, institutional, and regulatory frameworks. This research paper examines the ethical and legal implications associated with the development and deployment of AI technologies. The study explores key ethical issues including algorithmic bias, privacy invasion, lack of transparency, accountability, job displacement, and the misuse of autonomous systems. It also investigates legal challenges related to data protection, intellectual property rights, liability, cybersecurity, discrimination laws, and regulatory governance. The paper highlights the growing need for responsible AI practices that prioritize fairness, transparency, inclusivity, and human rights.
Renu Vijay Verma· Zenodo (CERN European Organi...· 0 citations
Abstract Professional ethics, communication skills and competency development have become essential components of professional excellence in the contemporary globalized world. The rapid expansion of globalization, digital technology, artificial intelligence, multicultural workplaces and international business has transformed the nature of professional relationships and organizational practices. In such an environment, technical knowledge alone is not sufficient for professional success. Individuals are expected to demonstrate ethical conduct, effective This paper examines the integration of professional ethics, communication skills and competency development and argues that their combination can contribute not only to individual professional success but also to organizational effectiveness and sustainable global development. The paper further discusses contemporary workplace challenges and illustrates how ethical communication and competency development can support inclusive, responsible and sustainable professional practices.
Dr. Rekha Dhoot· Zenodo (CERN European Organi...· 0 citations
Abstract This conceptual paper examines the relationship between digital accounting system and financial reporting quality by reviewing existing literature and discussing the benefits and challenges associated with digital transformation in accounting. The study highlights how digital accounting systems contribute to the qualitative characteristics of financial reporting including reliability, comparability, timeliness, and understandability. The adoption of technologies such as cloud Accounting, ERP, Artificial Intelligence, blockchain and data analytics has significantly improved the efficiency, accuracy, and transparency of accounting practices.
Sanjivani Himmatrao Deshmukh· Zenodo (CERN European Organi...· 0 citations
Abstract Artificial Intelligence (AI) has significantly transformed recruitment and employee selection by improving the efficiency, accuracy and transparency of hiring processes in IT organizations. This study examines the impact of Artificial Intelligence Driven Recruitment and Employee Selection in IT Companies in Chennai. A quantitative research design was adopted and simulated data from 175 respondents were analysed using descriptive statistics, reliability analysis, correlation and multiple regression techniques through SPSS. The simulated results indicate that AI-driven recruitment positively influences recruitment efficiency, candidate experience and the quality of employee selection. The regression analysis revealed that AI-driven recruitment and employee selection explained 71.5% (R² = 0.715) of the variation in recruitment effectiveness, with all proposed hypotheses supported in the simulated analysis. The findings suggest that AI-based recruitment systems enable organizations to reduce hiring time, improve decision-making, minimize recruitment bias and enhance overall talent acquisition. The study highlights the importance of integrating AI technologies into HR practices to strengthen recruitment outcomes in Chennai's IT sector. The data and findings presented are simulated solely for academic demonstration and methodological illustration.
G. Raja Priya, L. Veronica Christy· Zenodo (CERN European Organi...· 0 citations
Abstract This conceptual paper examines the relationship between digital accounting system and financial reporting quality by reviewing existing literature and discussing the benefits and challenges associated with digital transformation in accounting. The study highlights how digital accounting systems contribute to the qualitative characteristics of financial reporting including reliability, comparability, timeliness, and understandability. The adoption of technologies such as cloud Accounting, ERP, Artificial Intelligence, blockchain and data analytics has significantly improved the efficiency, accuracy, and transparency of accounting practices.
Sanjivani Himmatrao Deshmukh· Zenodo (CERN European Organi...· 0 citations
Abstract Professional ethics, communication skills and competency development have become essential components of professional excellence in the contemporary globalized world. The rapid expansion of globalization, digital technology, artificial intelligence, multicultural workplaces and international business has transformed the nature of professional relationships and organizational practices. In such an environment, technical knowledge alone is not sufficient for professional success. Individuals are expected to demonstrate ethical conduct, effective This paper examines the integration of professional ethics, communication skills and competency development and argues that their combination can contribute not only to individual professional success but also to organizational effectiveness and sustainable global development. The paper further discusses contemporary workplace challenges and illustrates how ethical communication and competency development can support inclusive, responsible and sustainable professional practices.
Dr. Rekha Dhoot· Zenodo (CERN European Organi...· 0 citations
Abstract Artificial Intelligence (AI) has emerged as a transformative technology driving digital innovation across healthcare, finance, education, manufacturing, transportation, and smart cities. However, the rapid advancement of deep learning, foundation models, and generative AI has substantially increased the computational demands placed on modern data centers. The growing dependence on Graphics Processing Units (GPUs), high-performance computing clusters, and cloud-based infrastructures has resulted in extreme electricity consumption, increased greenhouse gas emissions, intensive water usage for cooling, and higher operational costs. These environmental challenges have made sustainability a critical consideration in the future development of AI systems. Sustainable Artificial Intelligence (Sustainable AI) and Green Data Centers have emerged as complementary approaches for reducing the environmental footprint of AI while maintaining computational efficiency and service quality. Sustainable AI focuses on developing computationally efficient algorithms, optimizing model architectures, and minimizing energy consumption throughout the AI lifecycle. Green Data Centers support these objectives by integrating energy-efficient hardware, renewable energy sources, intelligent cooling technologies, virtualization, carbon-aware workload scheduling, and AI-driven resource management. Together, these approaches enable environmentally responsible digital transformation by reducing carbon emissions, improving energy efficiency, and enhancing resource utilization. This paper presents a comprehensive review of Sustainable Artificial Intelligence and Green Data Centers, examining recent technological advancements, sustainability challenges, industry practices, and emerging research trends. It proposes an integrated conceptual framework that combines Green AI techniques with sustainable data center infrastructure to achieve environmentally responsible AI deployment. The paper also discusses key performance indicators, including Power Usage Effectiveness (PUE), Carbon Usage Effectiveness (CUE), Water Usage Effectiveness (WUE), and renewable energy utilization, for evaluating sustainable AI infrastructures. Finally, future research directions are identified to support the development of carbon-neutral AI ecosystems aligned with the United Nations Sustainable Development Goals (SDGs).
Disha Roshan Bhakta· Zenodo (CERN European Organi...· 0 citations
Abstract Artificial Intelligence (AI) has emerged as one of the most transformative technologies of the twenty-first century, influencing sectors such as healthcare, education, finance, governance, transportation, and communication. While AI offers unprecedented opportunities for innovation, productivity, and efficiency, it also presents serious ethical and legal concerns that challenge existing social, institutional, and regulatory frameworks. This research paper examines the ethical and legal implications associated with the development and deployment of AI technologies. The study explores key ethical issues including algorithmic bias, privacy invasion, lack of transparency, accountability, job displacement, and the misuse of autonomous systems. It also investigates legal challenges related to data protection, intellectual property rights, liability, cybersecurity, discrimination laws, and regulatory governance. The paper highlights the growing need for responsible AI practices that prioritize fairness, transparency, inclusivity, and human rights.
Renu Vijay Verma· Zenodo (CERN European Organi...· 0 citations
