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Sustaining Sustainable: Investigating the Full Spectrum of Food Waste, from Production Through Consumption to Disposal
Purpose: The purpose of this research is to explore the primary factors that contribute to food waste. Additionally, it creates practical strategies to cope with food waste and encourages to perform sustainable practices to improve the environment. Additionally, the study presents an analytical framework for supply chain problems as well as the methods that are environmentally friendly. Methodology: The research begins by defining how sustainable development should be incorporated in the hospitality sector and by briefly outlining its attributes. Next, it discusses the expanding interest in supply chain management and outlines an overview of the breadth of academic research on sustainability in the literature related to the hotel industry. Findings: The paper examines the enormous ecological and economic effects of food waste, including how it contributes to the adverse global warming, the dwindling of natural resources, and also the loss of worthwhile financial investments. Additionally, it highlights the social effects of food wastage, such as how it contributes to gaps in access to nourishing foods and food insecurity. Research Limitations: It attempts to shed light on the scope of food loss, identify major contributing variables, and suggest methods to reduce food loss along the whole supply chain through an examination of current literature and data. Practical Implication: The practical application of this research is to offer evidence-based insights and practical recommendations to policymakers, organizations, and people with an aim to decrease food waste and enhance the effectiveness of the food system. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Heavy metal detection by nanotechnology-based sensors
One of the major pollutants in the milieu consists of heavy metals that remain nondegradable with extreme toxicity that accumulates in plants, animals, and humans leading to ill effects with long exposures. These heavy metals that are used in various fields like food, textile industries, agriculture, and medicine act as enzyme inhibitors not allowing the substrate to bind the enzymes. In lieu of it, biosensors have been an essential tool that help to monitor environmental pollutants, presence of various toxins and biohazardous microbial in the organic matter, and also biomolecules in diagnostic tools. Detection of heavy metal traces in environmental monitoring has a widespread application using biosensors with improvised sensitivity, selectivity, and simplicity. Further, the biosensor technology has advanced greatly with the ability of biosensing mechanism combined with the highly advanced technique with the world of nanofabricating enabled miniature biosensors. The sensitivity performance of biosensors has increased tremendously with nanotechnology as the nanoscale dimensions promote the critical analysis and detect to probe single biomolecules. Nevertheless, the major drawback relies on the study lacking the toxicity of nanoparticles (NPs) in atmosphere, lacking in automated service, miniature induced unreliable source, and integrating the nano-biosensors for reliable transduction signals from the devices. With the development of biosensors for online and offline analysis for their quantity and diversity they have been termed as biosensor uprising with the introduction of biosensors with enzyme, DNA-, immuno-, and whole cell-based with specific analytical detection. 2024 Elsevier Inc. All rights are reserved including those for text and data mining AI training and similar technologies. -
An Integrated Approach Towards Sustainable Waste Management: Decentralized and Community-Based Practices
Waste management has always been a growing concern, since enormous quantities of waste are generated in vulnerable tourism regions, leading to mounting environmental concerns and hazardous health issues, which are faced by the majority of the local bodies and local communities. Vulnerable destinations are unable to handle such large quantities of solid waste due to financial and institutional debilities. This chapter will present a comprehensive view of solid-waste-management mechanisms, and most importantly, will highlight important issues, like segregation of waste, an integrated approach for the treatment of waste and scientific disposal methods. Critical directions are presented to reiterate the several policies and programmes so as to improve the current scenario, and thereby, support the cities and towns by devising integrated strategies towards community engagement in waste management and the role of regulators in overcoming the challenges of solid-waste management in our country. This chapter is built on a sustainable outlook by providing an integrated framework of decentralized and community-based practices. It will also explore important dimensions of sustainability that will require greater attention towards a preliminary framework of sustainable community-based waste management. 2024 CRC Press. -
Advanced Materials from Biomass and Its Role in Carbon-Di-Oxide Capture
This chapter explores utilizing agricultural waste for developing advanced materials for CO2 capture, overcoming drawbacks of conventional adsorbents. It compares biomass-based activated carbons CO2 adsorption capabilities to commercial adsorbents, highlighting promising performance. Strategies for enhancing selectivity and efficiency through functional group hybridization are discussed, alongside investigations into operational parameters effects on material properties and CO2 uptake. Additionally, the chapter reviews biomass-derived carbon materials role in CO2 capture, detailing conversion techniques like pyrolysis and hydrothermal carbonization. Various modification methods, including activation and N-doping, are examined for enhancing CO2 capture. Discussion extends to diverse advanced materials derived from biomass, including biochar and activated carbon. The chapter underscores the circular-economy impact of utilizing biomass-derived porous carbons in CO2 capture processes, particularly in biogas upgrading to biomethane. Overall, it offers insights into addressing CO2 capture challenges, proposing future research directions in this field. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Big Data and Competition Law: A New Challenge for Competition Authorities
Big data has become a key role player for almost all kinds of markets specifically in a digital economy. It is a raw material as well as a by-product of any process. It has very comprehensive inclusivity to cover all aspects of the market having direct as well as indirect market effects. These effects are inclined towards consumerism and market transparency. But it has inherent dangers that are somehow overlooked by competition authorities. Competition law has dealt with the brick-and-mortar economy that is traditional in a very efficient way. However, this is not the case with the digital economy. Traditional notions of the market, abuse of dominant position, anticompetitive practices, and regulation of combinations cannot be made applicable to the digital economy in the same manner. Big data analytics enables big giants or corporations to establish their dominance in their relevant market. Google, Amazon, Facebook, and Apple have been dominating almost digital economy; hence their strategies are being scrutinized under the lenses of competition law once again. This paper deals with the interplay between big data and competition law, and it is going to explore the impact of this unavoidable aspect of big data on a highly competitive digital economy. 2024 Taylor & Francis. -
Ecotourism a Sustainable Development Approach: A Case Study of Bandipur Forest
Bandipur Tiger Reserve is geographically speaking, it is an ecological confluence since the Western and Eastern Ghats intersect here, making this region unique and exceptional in terms of its flora and fauna. The community land areas of all the border settlements as well as the nearby notified and unnotified forests have been included in the buffer of this tiger reserve. The scrub jungle along the park's eastern boundaries is made up of stunted trees, scattered bushes, and open grassland patches. The Eco-tourism activity is run in the two Ranges of Bandipur (54 km2) and GS Betta (28 km2), covering a total area of 82.00 km2, or around 9.40% of the Reserve's total size. From the above analysis, it could be concluded that the government should provide that there are administrative facilities, halting facilities, etc. just next to National Highway 67, which cuts through the eco-tourism region. Additionally, the village community people agree that the regions where some Private Tourist Resorts have situated border the Kundu Range's Eco-tourism area. The Reserve benefits from having almost year-round operations. The usual methods of stopping poaching, such as arresting and prosecuting offenders, have obviously failed; conservation education aiming at altering local attitudes will greatly reduce the ongoing threats to the integrity of biological systems in the Bandipur forest. Operationalizing sustainable ecotourism within protected areas ultimately relies on management and operations that maximize the industry's potential positive advantages while minimizing its negative ones. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Waste Management: Learning and Challenges from a Case Study of a University Model in India
Christ University (CU) has implemented an integral and sustainable waste-management system for better environmental impacts on its five campuses in India. The university has well established zero-waste campaigns. The waste-management model is introduced at CU campuses with multiple purposes: 1) for a cleaner environment on the campus, 2) to create an educational impact on students on waste management, 3) to initiate a movement towards a zero-waste society in India and 4) to employ people living around its campuses. The Christ University waste-management model is done through three different segments/wings: 1) solid waste management, 2) wet waste management and 3) wastewater management. The amount of waste recycled for each year is measured, and the processes are documented. The model is a replicable, sustainable and socially impactful model for managing waste on university campuses for more significant societal impacts. 2024 CRC Press. -
Emerging Novel Functional Materials from Biomass for Environmental Remediation
The Earth faces complex environmental challenges caused by both human activities and natural processes, affecting all life forms and ecosystems. Biomass-derived materials, sourced from renewable resources, serve as effective adsorbents, catalysts, and ion exchangers, providing sustainable solutions to environmental issues like water and air pollution, soil contamination, and waste management. Their significance lies not only in their biodegradability and sustainability but also in standardized testing and scalability considerations. The field of functional materials from biomass has the potential to transform environmental remediation, leading to a cleaner and more sustainable world. Here, we aimed to portrait the key approaches and recent developments in emerging functional materials from biomass tailored for environmental remediation, delving into their fundamental theories and concepts, various applications, and potential to reshape the remediation landscape. It evaluates the sustainability and biodegradability aspects of these materials, addresses challenges, and peers into the dynamic and rapidly evolving future of this field. Collaborative efforts between researchers, industry, and policymakers are pivotal to establishing guidelines and regulations ensuring the safe and responsible use of these materials. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Pandemic, War and Geo-Political Risk: The Outlook for Global Economy
This Chapter analyses the world economic outlook in the backdrop of the Pandemic, the Russia-Ukraine war, geo-political tensions, and social unrest emerging around the world. The COVID-19 Pandemic an unwanted gift from the nature spreading across the nations in multiple waves and mutation has devastated the global economy. The governments and central banks responded with huge bailouts to beat the potential recession that led to excess liquidity and demand-pull inflation. The global GDP declined due to multiple lockdowns to contain the spread of the virus. Due to scarcity of inputs, labour and supply chain disruptions the cost of production surged and augmented cost-push inflation. Further, the Russian invasion of Ukraine aggravated the supply-side shocks from sanctions and energy and food inflation surgeda 38-year highto 6.7 percent in advanced economies and 8.7 percent in emerging markets and developing economies creating misery among people particularly in the low-income countries. The running magnitude of inflation complicated the policy efforts, and the central banks and governments reversed the trade-off for inflation from safeguarding the growth. Besides, the social unrest in developed countries (Canada, New Zealand, the US, Austria, the Netherland) and developing countries (Chile, Algeria, Iran, Iraq, Lebanon, Brazil, Belarus, Sri Lanka, Ethiopia, Burkina Faso, Tajikistan, and Sudan) have added the geo-political tensions (China and Taiwan) worsening the world economic outlook. The first section of this chapter narrates the COVID-19 pandemic impact (loss of lives and livelihood), leading to declining trends in global GDP, income, employment and international trade, and increasing trends in poverty, unemployment, inequality and inflation. The second section analyses the impact of the Russian invasion of Ukraine and social unrest gathering around the world leading to geo-political tensions, supply-side shocks and inflation trending to a level not seen in the last four decades. The policy efforts reversed to monetary tightening and increasing the interest rates causing capital outflows, currency depreciation and foreign exchange reserve meltdown. Developing countries with limited fiscal space to counteract are prone to prolonged stagflation (inflation plus unemployment) and skewflation risk (product prices rising but asset prices falling). In the near-term, the global economy is facing an extremely challenging outlook due to sharply rising food, fertilizer and energy prices, and rising interest rates, capital outflows, currency depreciation and unsustainable levels of external debt. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Climate Change Impact on Water Resources, Food Production and Agricultural Practices
The greatest threat to human health that exists today is climate change. Ecosystems, societies and biodiversity are seriously at risk from the long term effects due to change in climate, primarily brought on by human activities. Rising temperatures increase evaporation, which causes drought and decreases water availability for ecosystems, drinking water supplies and agriculture. Changed precipitation patterns exacerbate floods, storms and sea levels, contaminating the water supply and harming infrastructure. The effects of rapidly changing climate on water resources must be minimised through sustainable water management techniques, conservation initiatives and International initiatives. The effects of climate change on the long run have been the focus of research because stable weather significantly influences agricultural productivity. Due to agricultures reliance on temperature and rainfall, climate change threatens world food security. Rising temperature results in lower productivity and also promotes the growth of weeds and pests, changes precipitation patterns, which will result in more crop failures and production declines. This work summarises the outcome of climate change on crop and livestock yields, water resources and the economy. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Synergizing Humanity and Technology: A Human-Machine Collaboration for Business Sustainability in Industry 5.0
In the context of Industry 5.0, this paper emphasizes the crucial role of human-machine collaboration for sustainable business practices. It explores the need for a people-centric approach, recognizing the significance of the human workforce alongside advanced technologies. The study investigates three influential theoriesActor-Network Theory (ANT), Activity Theory, and Socio-Technical Systems Theory (STS)proposing a novel Socio-Technical Interaction Network (STIN) model that synthesizes their strengths. The STIN model views systems as intricate networks of diverse actors, both human and non-human, acknowledging their agency and interactions within socio-technical environments. By incorporating elements from each theory, it prioritizes contextual analysis, considering socio-cultural and environmental influences on human-technology interactions. The STIN model aims to provide a holistic lens for interdisciplinary research and guide the design of technology-infused systems aligned with human needs and societal contexts. In conclusion, human-machine collaboration is deemed not just a technological necessity but a strategic imperative for organizations striving for long-term sustainability in Industry 5.0, fostering adaptability, innovation, and sustainable practices. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Analyzing Risk-Return Trade-Offs Using ARCH and GARCH Models of the BRICS Countries
This study investigates financial markets in BRICS nations (Brazil, Russia, India, China, and South Africa) from 2003 to 2023. It examines mean returns, volatility, skewness, and kurtosis, assessing normality and data stationarity. ARCH-GARCH models uncover conditional heteroskedasticity and volatility clustering. It also explores mean reversion and momentum effects in the Nifty and MOEX indices. Findings show negative, near-zero mean returns, except for SSEC, which is modestly positive. Serial correlation suggests past values impact current returns. Volatility varies, with MOEX and SSEC having higher levels. ARCH-GARCH models indicate volatility clustering and non-normal return distributions. Mean reversion and momentum effects are identified in Nifty and MOEX, benefiting investors, financial institutions, and policymakers. This research informs investment strategies, risk management, and financial forecasts in BRICS economies, contributing to the understanding of the global financial landscape and potential contagion effects. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Advancing Nutrient Removal and Resource Recovery Through Artificial Intelligence: A Comprehensive Analysis and Future Perspectives
The increasing difficulties associated with effectively controlling wastewater treatment operations while simultaneously satisfying the imperatives of nutrient removal and resource recovery have necessitated the use of advanced technology. This book chapter provides a comprehensive analysis of the use of artificial intelligence (AI) methods within this complex context. Utilizing a vast array of scholarly investigations and real-world implementations, this study explores the intricate domain of wastewater treatment, providing a comprehensive understanding of how artificial intelligence algorithms are used to enhance the efficiency of nutrient removal procedures and expedite the recovery of valuable resources. This chapter presents a thorough examination of the impact of artificial intelligence (AI) on sustainable innovations in wastewater treatment facilities. It accomplishes this through a comprehensive analysis of relevant data and the inclusion of real-world case studies. The findings of this research highlight the transformative effect of AI on conventional approaches to wastewater treatment, enabling the adoption of environmentally friendly and resource-efficient practices. The integration of artificial intelligence (AI) with wastewater management offers a fascinating story that highlights the shifting paradigm in the field of environmental engineering and the efficient exploitation of resources. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
AI in Data Recovery and Data Analysis
The use of artificial intelligence (AI) techniques for data collection and analysis is examined in this chapter. It also looks at the benefits, challenges, and future directions. It provides a broad overview of AI techniques and illustrates the use of generative adversarial networks (GANs), recurrent neural networks (RNNs), convolutional neural networks (CNNs), etc. in this area. Data recovery is an essential process when trying to recover lost or damaged data. For AI methods like CNN, the retrieval of image and video data has shown great promise. Using the power of deep learning, CNNs can search for patterns in data, assisting in the reconstruction and restoration of lost information. On the other hand, RNNs excel at retrieving serial data, such as text or time series data. These networks can efficiently learn dependencies and contexts, which makes it possible to precisely reconstruct missing or imperfect sequences. AI-based data analytics provides businesses with insightful information and opportunities. GANs, for example, are increasingly being used to generate and improve data, enabling organizations to expand the size of their datasets and improve the efficacy of their analytical models. Large amounts of data can also be divided up using A-based clustering algorithms, which are also well classified and provide insightful analysis and interpretation. In the gathering and analysis of data, AI has many benefits. Businesses can process and analyze enormous amounts of data in a fraction of the time thanks to this productivity-boosting automation of challenging and time-consuming tasks. By reducing bias and human error, AI techniques also increase accuracy, resulting in results that are more dependable and consistent. Additionally, AI-driven insights assist businesses in spotting trends, uncovering buried patterns, and coming to wise decisions that may not be apparent using traditional analytics methods. Due to privacy concerns, ethical considerations, interpretability, transparency, and accountability, AI deployment in data recovery and analysis is difficult. Future directions include collaboration between humans and AI, edge computing integration, and privacy-preserving methods. In conclusion, organizations looking to maximize their data assets stand to benefit greatly from the application of AI techniques to data analytics and data retrieval. 2024 selection and editorial matter, Kavita Saini, Swaroop S. Sonone, Mahipal Singh Sankhla, and Naveen Kumar. -
Overview of Cyber Security in Intelligent and Sustainable Manufacturing
With the advent of the Internet of Things (IoT), a new transformation is predominant in the manufacturing industry, termed Industry 4.0. The revolution of IoT with artificial intelligence, Web3, robotics, and automation has transformed the traditional manufacturing system into a smart manufacturing system (SMS) by adding an intelligent component capable of automatic data collection through using sensors, processing data autonomously, and controlling machines remotely. However, adding automated intelligence, autonomous systems, and real-time data processing presents an insecure surface to cyber attackers to penetrate these cyber-physical systems (CPSs) and cause physical damage. This chapter presents a detailed discussion of cyber threats and incidents in the intelligent manufacturing industry, along with the available acceptable mitigation strategies. A taxonomy of cyber attacks on intelligent manufacturing systems clearly shows the difference between information technology threats and smart manufacturing cyber-threats. A detailed discussion on the limitations of SMSs in implementing cyber security is presented. Finally, some innovative machine learningbased security mechanisms (ML-based intrusion detection systems) are discussed that promise to detect anomalies/intrusions in such systems. 2025 selection and editorial matter, Ajay Kumar, Parveen Kumar, Yang Liu, and Rakesh Kumar. -
Sustainable Waste Management and Womens Empowerment
Waste management is a problem faced by major cities. Rural migration to urban areas created unplanned residential areas and high population density, and temporary living structures have a direct impact on poor waste management systems in urban areas. From September 2020 until February 2021, a case study was conducted (the first lockdown period of the COVID-19 Pandemic) among women members from an urban slum in Bangalore with objectives to understand the prevalent process of waste management and comprehend the association between womens empowerment and sustainable waste management in a slum community. The purposive sampling technique was applied to select 10 women members of the slum community for this community-based participatory research as co-researchers from the slum community, along with all stakeholders. The results show that the women members could implement the immediate plans on waste management, including educating their neighbours on waste management, to ensure that a large part of the society they are living in is aware of it. The women members demonstrated their motivation and willingness in their actions in the slum neighbourhood concerning sustainable waste management. They applied their participatory activities to empower other women in the area by focussing on every stretch of the slum and educating on the management of waste. All the actions by the women members in the urban slum community and the stakeholders of waste management in that community intend to support the quality of life and strengthen the resilience to climate change through sustainable waste-management and are reflected in SDG 3, SDG 5, SDG 11, and SDG 13. 2024 CRC Press. -
Role of Digital Lending in Serving Financially Excluded Individuals and Small Medium Businesses in India
Financial inclusion has become a national strategy for the achievement of an inclusive economy and inclusive society in emerging countries. Access and continuous usage of formal financial services by the financially excluded people are known as financial inclusion. Financially excluded people are still there across the globe and in India. In India, although there are many supply-side and demand-side constraints for promoting financial inclusion, the vital constraint of financial inclusion is the inability of formal financial institutions to serve the unbanked and underbanked by adopting disruptive technologies for their business models and by developing and delivering innovative and customised financial products and services. Formal financial institutions embrace technologies such as Artificial Intelligence, Machine Learning, and Big Data Analytics for their operations in a gradual pace when compared to FinTech start-ups. But Digital Lending Start-ups make all the efforts to serve the unbanked and underbanked population through AI-powered alternative scoring methodology and customised digital loans. This article focuses on the process in which Digital Lending Start-ups serve the financially excluded individuals and Small and Medium Businesses in India. Further, this article analyses the growth, acceptance, future potential, and limitations of digital lending in India. 2024 selection and editorial matter, Satyajit Chakrabarti, Saikat Chakrabarti, Amit Kumar Bhandari, Dipak Saha and Rabin Mazumder. -
IPR in Stem Cell Research, Therapy, and Regenerative Medicine
According to the World Trade Organization, intellectual property rights are rights given to persons over the creations of their minds. They usually give the creator an exclusive right over the use of his or her creation for a certain period. There is a critical need for fresh developments in the existing medical diagnostic techniques, therapy, pharmaceutical medications, and research, in a world where such a sizable number of people are afflicted with various ailments, some of which are fatal and still incurable. Pharmaceutical companies are developing novel and cutting-edge ways to treat diseases at an increasing rate. The major pharmaceutical corporations in the world, including Pfizer, Miltenyi, Biotec, AstraZeneca, and Mesoblast Limited are pursuing research in the area of stem cell and regenerative medicine. Regenerative medicine, stem cell research, and therapy are currently regarded as groundbreaking developments in the medical sciences. Understanding their intellectual property rights and the legal means through which these businesses can safeguard their discoveries becomes crucial. This paper will analyze the meaning of stem cell and regenerative medicines, the eligibility of IPR in Stem cell research under the Indian Patents Act, of 1970 and the morality and public issues related to the same. 2024 Taylor & Francis. -
Blockchain and Green Finance: The Way Forward
A disruptive digital force is altering business paradigms and increasing relevance around the world. Blockchain technology is attracting significant interest in India from a variety of businesses. As the range of uses for blockchain technology expands, industry leaders are adopting and modifying it to suit a variety of use cases. In 2016, adoption of blockchain technology gathered significant momentum in India. In a variety of use cases, many banks and commercial conglomerates have experimented with blockchain technology. Although blockchain technology is still in its infancy, Bitcointhe most well-known use casehas taken off very successfully in India, with several Bitcoin exchanges and wallets spreading throughout the nation. The regulatory organizations are establishing working groups to understand and monitor the development of blockchain technology in India after realizing the potential of the technology. Blockchain is used in green bonds, asset tokenization, carbon credit trading, and transparent reporting. One of the real-life examples is IBM and Veridium Labs, which have worked on a blockchain-based initiative to tokenize carbon credits. The purpose is to improve the efficiency and transparency of carbon trading. Veridium coins represent verified carbon credits, and blockchain secures the credits integrity and traceability. Recently the State Bank of India (SBI) has shown a growing interest in green finance and green bonds. The chapter investigates blockchain applications in the field of green finance. It addresses how blockchain-enabled green asset tokenization might boost liquidity and accessibility for investors, allowing a broader pool of participants to participate in sustainable investments. The article investigates the impact of DeFi platforms in supporting green lending and borrowing, hence lowering reliance on traditional financial intermediaries. 2024 selection and editorial matter, Sukanta Kumar Baral, Richa Goel, Tilottama Singh, and Rakesh Kumar; individual chapters, the contributors. -
Exploring the Impact of Behavioral Biases on Young Investors Portfolio Performance: An Examination through the Lens of Nudging Green: Behavioral Economics for Environmental Sustainability
PurposeThis research paper delves into identification of interaction and relationship among numerous factors like investors behavior, psychological factors of investors, specific biases, financial knowledge and literacy, and portfolio value of young investors. Through this research paper we can conclude that investors are increasingly affected by the biases that exist. These biases act as a hindrance in their process of decision making. Design/methodology/approachIn this research paper a survey was conducted and the poll consisted of various questions. In this research paper, a convenience sampling technique was used and responses from 295 investors were collected for analysis of the data. In this paper we have used descriptive analysis and regression correlation for the purpose of analysis which ultimately unfolds the relationship between biases and investors portfolios. FindingsThis paper unfolds the various behavioral factors and other factors that shape the investment portfolio of youth. The paper dwells into the intricate study of behavioral factors that affect youth and determines their investment pattern. Research limitation/implicationsLimited samples have been collected for this paper and that is the limitation of this paper. As the sample size is limited there is a high probability that with a larger group of investors, the behaviour pattern and biases may differ. As most of the investors are young their knowledge about trading market and investment market is quite limited which ultimately generates hindrances in analysis. Maximum number of investors are quite young which increases the probability of biases in the decision making process. Practical implicationsThis paper will help scholars, analysts, academicians, practitioners, policymakers, brokers, and investors to frame better strategies in order to deal with behavioural biases and other behavioural factors. In order to not get influenced with behavioral biases and other behavioral factors, young people can plan out their investments in a better way. The youth of our country can have greater understanding regarding investments if they are given enough wisdom regarding the same through workshops, webinars, seminars, lectures, curriculum. Originality/valueIn this paper investors behavior, psychological factors, specific biases, financial knowledge and literacy are factors that influence the investment portfolio of young investors. Young investors can keep these factors in mind in order to increase their portfolios value which will ultimately lead to better investment decisions among them. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.