International Journal of Engineering and Management Research
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A Study of the Financial Health and Growth Patterns of Infrastructure Finance Companies in India
No full textThe financial health and development level of infrastructure in India are critical to the country\u27s economic growth, social development, and global competitiveness. There are various infrastructure sectors, such as urban development, transport, energy, health, agriculture, education, etc., that require large-scale investments, which are often facilitated through infrastructure finance companies (IFCs) and public-private partnerships. Therefore, assessing these investments is also an important part of ensuring the smooth functioning of various stakeholders, activities, and organizations involved. This study examines the financial performance and growth trajectories of infrastructure finance companies (IFCs) operating in India. Drawing on an extensive review of existing literature, the study identifies key trends, challenges, and success factors that influence the sector\u27s sustainability and growth. The methodology involves a qualitative and quantitative analysis of financial indicators, including profitability, liquidity, solvency, and efficiency, using secondary data sourced from annual reports, industry publications, and government databases. The findings provide insights into the operational dynamics of IFCs and offer policy recommendations to improve their performance and address sectoral challenges. This study contributes to the existing body of knowledge by integrating theoretical perspectives with empirical evidence, paving the way for more effective financial and operational strategies in the infrastructure finance domain
The Impact of Artificial Intelligence on Advertising and Marketing Strategies: A Study on Personalization, Consumer Behavior, and Brand Engagement
No full textArtificial Intelligence (AI) is rapidly transforming the landscape of advertising and marketing, reshaping how brands connect with consumers. This paper explores the profound impact of AI technologies on the creation, delivery, and personalization of marketing content. With advanced algorithms, machine learning, and predictive analytics, companies can now tailor advertisements to individual preferences, enhancing user experience and boosting engagement. The study investigates how AI-driven personalization influences marketing strategies and redefines the traditional customer journey.
Furthermore, the research delves into changes in consumer behavior triggered by AI integration. Consumers today expect more relevant, timely, and personalized interactions, and AI enables brands to meet these expectations with unprecedented precision. By analyzing real-time data and learning from consumer interactions, AI tools help marketers predict needs, personalize offers, and create more meaningful connections. The study highlights the dynamic shift in consumer expectations and the necessity for brands to adapt their communication strategies accordingly.
Finally, this paper examines AI’s role in enhancing brand engagement and loyalty. Through chatbots, virtual assistants, and automated customer service, brands maintain continuous interaction with consumers, building stronger relationships. However, it also addresses the challenges, including ethical considerations, data privacy concerns, and the potential loss of human creativity. The findings offer insights into the balance companies must achieve between technological efficiency and authentic human connection in their advertising and marketing efforts
The study on Organizational Structure and demographic profile of Farmer Producer Organisations (FPOs): A Case Study from Himachal Pradesh
Full text linkThis study examines the organizational structure and functioning of Farmer Producer Organizations (FPOs) in Himachal Pradesh, with a focus on their role in improving farmers’ market access, profitability, and operational efficiency. The research was conducted in four districts—Shimla, Solan, Sirmour, and Kinnaur—where commercial fruit and vegetable farming is dominant. Seven FPOs were selected based on their engagement in fruit and vegetable cultivation and their resource support agencies, either Small Farmers’ Agri-Business Consortium (SFAC) or Himachal Pradesh Horticulture Development Project (HPHDP).
Findings reveal that the FPOs operate within a four-tier organizational structure comprising farmer shareholders, farmers\u27 interest groups, a representative general body, and board members. The key objectives of these FPOs include collective procurement, technological advancement, price enhancement, advisory services, training, and improved access to agricultural inputs and markets. Their primary functions span collective marketing, sorting, grading, packaging, transportation, and exposure visits. While some FPOs actively pursue technological advancements and improved market access, others are confined to specific objectives.
The study suggests strengthening governance mechanisms and providing a simplified administrative framework to enhance the effectiveness of FPOs. Additionally, expanding the research to other districts and states can offer deeper insights for policy formulation and improving the sustainability of FPOs
Learning & Teaching Statistical Methods in the Age of Modern Computing
Full text linkThe evolution of data analytics and computational technologies has significantly transformed the landscape of statistical education and research. Traditional methods of data collection, manual computation, and interpretation are giving way to automated, real-time analytics powered by tools like R, Python, SPSS, Power BI, and machine learning algorithms. This paper examines the shifts across the data lifecycle—from collection and cleaning to analysis, visualization, and interpretation. It proposes strategic directions for academic curriculum development and guidelines for new researchers to remain relevant in the data-driven era. Emphasis is placed on a hybrid approach that combines foundational statistical knowledge with practical skills in data science and analytics. The integration of interdisciplinary methods, hands-on learning, ethical considerations, and real-world applications is highlighted as the future of statistical education and research
PPP Comparative Study based on Type, Terminology, and Model Adaptation
Full text linkPublic-private partnerships (PPPs) have emerged as a crucial mechanism for infrastructure development, particularly in nations facing fiscal constraints and technical limitations. This study conducts a comparative analysis of PPP projects globally, focusing on three critical aspects: types of models, adaptability of models, and the terminology used. Various countries define and implement PPP differently, influenced by their legal frameworks, economic conditions, and project-specific needs. The study aims to identify the different characteristics of the PPP model, the highly adaptive model, and the various terminologies used for PPP. The research identifies a formula for determining PPP models based on asset involvement, partner participation, and payment mechanisms. Findings reveal that greater private sector involvement correlates with higher PPP adaptability models, such as Build-Operate-Transfer (BOT) and Design-Build-Finance-Operate-Maintain (DBFOM) are among the most widely adopted. Additionally, the study highlights the inconsistencies in PPP terminology across different jurisdictions, underscoring the need for a globally unified framework to enhance efficiency and cross-border collaboration, reinforcing the necessity for standardized policies to streamline global PPP implementation
Safeguarding the Digital Tomorrow: Cybersecurity and Ethical Inclusion in a Connected World
Full text linkAs digital technology continues to shape economies, governments, and societies, it is crucial to ensure strong cybersecurity while also promoting fairness and inclusion. This paper examines how cybersecurity and ethical inclusion are connected, emphasizing that protecting our digital future requires more than just defending against cyber threats. It also means creating policies and practices that ensure equal access, privacy, and digital rights for everyone.
Through a review of existing research and real-world case studies, we identify key challenges such as the digital divide, evolving cyber threats, and the difficulty of balancing security with individual freedoms. We propose a well-rounded approach that combines technical solutions, policy development, and ethical considerations. Our findings highlight the need to design cybersecurity systems that protect vulnerable communities, ensuring no one is left behind in an increasingly digital world. The paper concludes with recommendations for policymakers and suggestions for future research to build a safer and more inclusive digital future
The Role of Investment in Employment Opportunities with Special Reference to Indian Industry
Full text linkInvestment serves as a vital catalyst for economic development and job creation, particularly within industrial sectors. In the context of India, investments—both domestic and foreign—have played a crucial role in expanding industrial capacity, modernizing infrastructure, and enhancing workforce productivity. This paper explores the relationship between investment and employment generation, with a special focus on Indian industry. It analyses how public sector investments in infrastructure, private sector initiatives in manufacturing and services, and foreign direct investment (FDI) collectively contribute to creating both direct and indirect employment opportunities. The paper also highlights the importance of skill development and policy interventions to ensure that the benefits of investment translate into sustainable and inclusive job growth across various regions and sectors of the Indian economy. Investment is a cornerstone of economic development, particularly in emerging economies like India. This paper examines how various forms of investment—public, private, and foreign direct investment influence employment opportunities within India\u27s industrial sectors. Through an analysis of recent trends and policies, the study highlights the significant impact of industrial investments on job creation and economic growth
An Integrated CVR/CVI–TOPSIS Framework for Selecting International EPC Markets: Evidence from Iran
Full text linkThis study proposes a novel integrated framework to enhance the reliability of international market selection (IMS) for engineering service exports under uncertainty and economic sanctions. A systematic literature review and expert consultations identified thirteen criteria across political-diplomatic, market prerequisite, and macroeconomic dimensions. The content validity of these criteria was tested using the Content Validity Ratio (CVR) and Content Validity Index (CVI). The validated criteria were weighted by an expert panel and incorporated into a fuzzy-TOPSIS algorithm. A decision matrix of 48 candidate countries was analyzed, identifying Armenia, Russia, and Qatar as the most attractive markets. The analysis underscores that diplomatic and banking relations outweighed traditional economic indicators in the sanctioned context. Sensitivity analysis confirmed the robustness of the rankings. This study integrates CVR/CVI into the fuzzy-TOPSIS framework, addressing a key gap in the MCDM literature regarding criterion robustness. It also provides an early empirical application of IMS to engineering service exports, encompassing the entire EPC lifecycle within a sanctioned economy, offering a practical decision-support tool
Impact of Artificial Intelligence on Investment Decision-Making
Full text linkThis research paper examines the impact of Artificial Intelligence (AI) on investment decision-making using secondary data and existing literature. The study analyzes key AI tools—including machine learning, deep learning, natural language processing, and predictive analytics—and their applications in algorithmic trading, portfolio optimization, and robo-advisory services. Findings indicate that AI significantly enhances forecasting accuracy, improves risk management, reduces human biases, and strengthens overall decision efficiency compared to traditional approaches. The analysis also highlights differing adoption patterns between retail and institutional investors. Despite the advantages, the study identifies critical challenges such as data privacy concerns, algorithmic transparency issues, ethical risks, and potential over-reliance on automated systems. The paper concludes that while AI is reshaping the financial landscape and investment practices, responsible integration supported by strong regulation and continuous monitoring is essential for sustainable use
Talent Management Strategies for Attracting and Retaining Talented Employees- A Study with reference to National Bank of Oman
Full text linkTalent management is the proactive and deliberate practice of hiring the right people and providing the right support to transform them into their highest Potential when it makes the most strategic sense for the organization. In modern multinational corporations and companies in general, TM has become an important Strategic focus. Among its central roles is recruiting and cultivating talent (Pruis, 2011). Unlike HR, talent management focuses on uncovering, developing, and advocating for star talent. Employee retention means an organization’s capability to retain its employees, having a stable, engaged, and effective workforce. Companies that aggressively pursue retention policies and programs to decrease turnover are likelier to win the race for business objectives and recruit new employees. A well-structured and effectively executed employee retention strategy serves as a significant competitive differentiator, as the capacity to retain top talent, especially in competitive labour markets, enables consistent high-level performance and mitigates disruptions caused by workforce instability (Onwugbolu & Mutambara, 2021; Nzonzo & du Plessis, 2020)