Sumeet Gupta

This study examines retail investor behavior and performance in mid-cap and small-cap investments. It focusses on the unique risks and rewards associated with these market segments. Through a mixed-methods approach, the research analyzes investment patterns, performance metrics and the influence of cognitive biases on retail investors. The findings provide insights into the factors which influence investment decisions and the impact of market conditions on retail investor behavior. The objectives of this paper are to analyze retail investors’ behavior and performance in mid-cap and small-cap sectors and to compare the risk-return characteristics of these investment portfolios.

Purpose: This research study aims to analyze the economic viability and potential of North Eastern airports in India by conducting a qualitative secondary data analysis. The study explores the opportunity and challenges in aviation industry in North East. Theoretical Framework: The study focuses on the economic potential and challenges of North Eastern airports. It uses various theoretical frameworks, including airport economics, regional development, transportation demand, and sustainability. It also considers policy alignment, stakeholder engagement, and impact on tourism. The goal is to analyze opportunities and barriers, helping to harness the economic viability of these airports in the region. Design/Methodology/Approach: Employing a qualitative research approach, this study conducts a thematic analysis of existing secondary data and reports. By examining government documents, airport statistics, tourism data, and academic research, the study seeks to uncover patterns, themes, and trends related to the economic impact of North Eastern airports. Research, Practical & Social Implication: The findings have practical implications for policymakers, airport authorities, and stakeholders seeking to harness the economic potential of the region. The core implication of this study is to promotion of North Eastern Airway development and tackle the challenges. Findings: The thematic analysis of secondary data reveals a positive correlation between increased airport infrastructure and economic indicators. Enhanced air connectivity has led to economic diversification, but there are numerous challenges too. Originality/Value: This study explores the challenges and opportunities in North Eastern airports and its effect on economic viability. The study also acknowledges the potential challenges, including government support, environmental considerations, community involvement, and regulatory compliance. By employing an analytical approach, the study seeks to provide insights into how strategic airport development can serve as a catalyst for economic growth while addressing potential obstacles.

Green bonds have gained significant attention in supporting sustainable development goals for achieving sustainability. During the issuance of green bonds, there are a few concerns such as standardization, greenwashing, and lack of benefits that can be gained with green bonds. However, blockchain technology is a promising solution for green bond issuance because it has already shown its impact on different finance activities. This study aims to address and analyze the role and significance of green bond issuance for meeting sustainability with blockchain technology and also suggested recommendations for future research. Decentralized application based on the Algorand blockchain and high-level architecture proposed for the issuance of green bonds is at the primary level. There is no discussion regarding standardizing the environmental data, and the number of benefits gained by the green bond is not addressed in the previously published literature. From the analysis, it has been identified that a similar framework of blockchain cannot be implemented as the geographical and environmental parameters are quite different for every nation. So, every nation needs to customize the framework according to the nation's requirements. This study is the first attempt to combine information from previously published research about green bond issuance and integration of blockchain for green bond issuance, enlightening the disruption caused in the issuance of green.

Purpose: This paper aims to analyze the profitability and future viability of LGBI Airport Guwahati in terms of sources of revenue from traffic & non-traffic modes by identifying the factors that influence the traffic (aeronautical) revenue and non-tariff (non aeronautical) revenue. Theoretical Framework: The study followed economical concepts related to traffic and non-traffic assets that exist on an airport. The theoretical framework reveals the revenue model. It is essential to declare the profitability and competitiveness of an Airport whether operating under single till approach or Dual till approach or hybrid one. Design/Methodology/Approach: The systematic literature review is based on an exploratory research design following a quantitative study, from a list of 12-15 research and review papers relevant to the purpose of the study. The data extraction from the sorted literature is done through linear regression using SPSS software. Research, Practical & Social Implication: Certain initiatives may directly influence Non-Aero income. Except for significant airports like DIAL, MIAL, BIAL, and HIAL, the ratio of traffic to non-traffic income at Indian airports is 25/75.Also the implications drawn from this study would help the airport managers to develop innovative strategies to improve the revenues via both, traffic and non-traffic modes. Findings: The researcher used Factor analysis, Linear regression and Principal component analysis. The analysis identified negative and positive factors that affect tariff and non-tariff revenues separately.Regression analysis revealed significant determinants that have influence on the profitability..Using the results, managing the variables to maximize total income and controlling variables may increase income. Originality/Value: This academic article is a research work highlighting the comprehensive revenue sources in the LGBI airport, Guwahati.

The fusion of corporate innovation and digital transformation has become known as a key factor, in transforming strategies and practices in the dynamic world of international business. With the assistance of examples and data, this examination examines the complex relationships that exist between these ideas. The dramatic changes in the digital transition as well as the purposeful pursuit of innovation are key topics. With companies like Amazon, Apple, including Tesla serving as examples of the successful marriage of digital technologies, and innovation strategies, in addition to cultural transformations that result in operational efficiency, and competitive advantage, alongside ground-breaking offerings of goods, data shows their execution. Cultural resistance and complex rules provide challenges, but there are also opportunities for development in terms of efficiency and competitiveness. The convergence of these factors, as demonstrated by Tesla's autonomous driving technology, has transformed several sectors. The report, which is replete with data, sheds light on the ways multinational firms could continue forward in a world that is fast changing.

In the ocean fuel transportation industry, the optimization of bunkering operations depends on price, position, delays from the expected route, and the cost of delays caused by the bunker operations themselves. Despite their potential importance, detailed bunker activity statistics at each port of call (e.g: waiting time, barge capacity, berth, or berth) are not available. A greater hid deviation from the usual method is that the provider, therefore, arrives past due for a bunker mission. The purchaser commonly has a time slot wherein it anchors as much as acquire bunker. If the bunker barge arrives past due, the purchaser can be beneath neath time strain because of closing dates for shipment, which may also reason the purchaser to interrupt the bunker operation earlier than the agreed quantity of bunker is supplied. This is obtainable confined interest from transport businesses and charterers because the fraudulent quantity is thought to be negligible. However, studies have recommended that the aggregated quantity of misplaced bunker is of big value. To screen such conduct we intend to make use of Automatic Identification System (AIS) statistics from bunker barges and numerous vessels they supply.

In a general parlance, wireless communication tends to be investigated based on the available methods that support enhancing the optimized data link, especially the software-based methods. AI is mainly used to create and design efficient communication network systems and variable node locations. The major factors impacting wireless communications in the current context are enhanced channel frequency, efficiency of using the bandwidth, and modulation type. The software-defined ratio enables collecting the information and analyzing the overall signal-related components and processing them in real-time situations. This will support in detecting unnecessary information and identifying latency at each stage of communication. The study is intended to measure the influence of critical factors in enhancing the overall management of wireless communication systems through the application of AI technologies. The researchers used the questionnaire method in order to collect the data from the respondents and enable them to analyze the data using the SPSS data package.

Purpose: This study aims to focus on identifying the business risks that cause a delay in the oil and gas projects and suggest the way forward toward the better development of the city gas distribution (CGD) sector in India by suggesting the appropriate mitigation strategies. Design/methodology/approach: The study is a systematic review of literature on risks causing a delay in oil and gas projects. Comprehensive literature was carried out following a seven-step model to develop an exhaustive list of risk classifications and factors, risk identification methods and strategies to mitigate the risks. Weighted average ranking method is used to identify the top ten risks affecting oil and gas projects. Findings: This research identifies the top ten risks frequently impacting the oil and gas projects, which are project cost, improper project management, change in economic parameters, currency exchange rate, government regulations and laws, contractor and subcontractors issues, lack of skilled labor, delay in approvals, health and safety issues and force majeure. These risks are primarily responsible for cost overrun and project delay. Additionally, this study recommends the implementation of joint risk management to avoid CGD project delay. Originality/value: The CGD industry is in the growing stage with many projects under construction. However, there is a lack of research to manage risks in the CGD project. This study contributes to the limited literature available on risk management in oil and gas projects. Additionally, it highlights the need for further research to explore the different risks factors affecting the CGD business and its operations and subsequently develop appropriate mitigation strategies.