Triple bottom line and environmental sustainability: evolution of global ESG research—a bibliometric analysis Pallavi Mishra, Vijay Kumar Pandey Environmental Sciences Europe, 2025 Abstract The evolution of Environmental, Social, and Governance (ESG) research represents a critical development in corporate sustainability practices, particularly in relation to the Triple Bottom Line perspective and specific United Nations Sustainable Development Goals (SDGs). This study examines this evolution through a comprehensive bibliometric analysis, focusing specifically on SDGs 7 (Affordable and Clean Energy), 8 (Decent Work and Economic Growth), and 12 (Responsible Consumption and Production), which are central to understanding the intersection of environmental sustainability and corporate performance. Through systematic analysis of the Scopus database from 2015 to March 2025, we examined 14,435 peer-reviewed articles using VOSviewer and Biblioshiny software packages. Following Callon’s density-centrality methodology, our analysis reveals four distinct thematic categories: motor themes (circular economy and sustainability assessment), basic themes (SDGs and corporate governance), Niche Themes (economic growth and emissions), and emerging themes (ESG integration). While developed economies (USA, UK, and EU) demonstrate the highest publication volumes, significant growth is observed in emerging regions, particularly in Southeast Asia, Latin America, and Africa, with distinct regional research priorities emerging post-2020. Publication patterns show exponential growth, peaking in 2023–2024, with notable acceleration in circular economy initiatives, alternative energy solutions, and green economy developments. Our findings highlight the growing integration of environmental performance metrics with financial outcomes and identify critical research gaps in ESG standardization, emerging market implementation, and technological innovation. The study projects continued growth in digital transformation, post-COVID resilience strategies, and sustainable business model innovation while acknowledging limitations in database coverage and language restrictions. These insights provide a comprehensive roadmap for future research directions in ESG implementation and sustainable business practices.
The effect of inflation on consumption expenditure of fixed income earners in Oromia region of Ethiopia Vijay Kumar Pandey, Abebe Shanko, Meenakshi Kaul Global Business Transformation Innovation Technology and Sustainability, 2025 Inflation is simply a rise in the prices of commodities and the devaluation of money. It directly influences people’s consumption, expenditure, and living standards. Inflation has affected not only underdeveloped and developing countries but also developed countries, which are not untouched. The consumption of essential and non-essential products is affected due to inflation. This paper dealt with the effects of inflation on the consumption expenditure of fixed-income earners in the Oromia province of Ethiopia, including various food and non-food items. A sample of 123 fixed-income earners was taken from 172 in different public offices in Shambu, Nekemte, and Ghimbi. The study revealed that inflation in these various food and non-food items has a significant negative relationship with fixed-income earners’ consumption expenditure. Furthermore, transportation cost inflation is a negative and essential determinant of fixed-income earners’ consumption expenditure. The study may help policymakers identify the inflation factors influencing the consumption expenditure of fixed-income earners and correct pitfalls to stabilize the inflation situation and enhance the quality of living for fixed-income earners.
Mapping the happiness research in business management: a bibliometric exploration Vijay Kumar Pandey, Mohit Sharma Cogent Business and Management, 2025 Recognising and fostering happiness is essential for creating a thriving work environment and driving organisational performance and employee well-being. This research reviews scholarly literature on happiness in business management to identify research trends, methodologies, and areas needing further exploration. The PRISMA 2020 (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) checklist was followed to ensure transparency in identifying and selecting documents. A bibliometric analysis of 1,648 publications from the Scopus database showed that Youssef’s 2007 article on positive organisational behaviour had the highest citations, followed by Stutzer’s 2004 study on income aspirations and Fisher’s 2010 article on happiness at work. These highly cited works are essential references in business management. The significant findings suggest that happiness is a strategic asset in business management, influencing productivity, retention, and innovation. They show that focusing on employee well-being, supportive leadership, C.S.R., and inclusive cultures is essential for organisations aiming to thrive in the modern workplace. This research helps identify emerging areas of interest and highlight gaps in the existing literature, guiding future research directions in happiness in business management.
Environmental performance and corporate financial success: a global bibliometric analysis and research evolution Pallavi Mishra, Vijay Kumar Pandey Cogent Business and Management, 2025 This bibliometric review maps and analyzes research trends in the literature connecting environmental performance and corporate financial success. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines, we conducted a systematic analysis of 1,356 articles from the Scopus database (2006–2025). The bibliometric analysis, using VOSviewer and Biblioshiny tools, reveals three distinct research trends: an initial focus on theoretical framework development (2006–2015), followed by methodological advancement phase (2016–2020), and an emerging emphasis on technological integration (2021–2025). Co-citation analysis identifies key research clusters and intellectual foundations of the field. Our review uncovers significant research gaps: limited studies in emerging economies, scarcity of longitudinal analyses, and underdeveloped technological measurement frameworks. Citation pattern analysis shows geographical concentration of research in developed economies, indicating opportunities for broader regional coverage. The evolution of research methodologies indicates a shift from singular approaches to more integrated frameworks. These trends and gaps guide future research directions in environmental performance literature.
The impact of personality on cooperation with the moderating effect of happiness at the workplace Vijay Kumar Pandey, Mohit Sharma, Som Nath Paul International Journal of Business Performance Management, 2025 Due to the fierce competition in the higher education sector in India, academic institutions need to focus on performance. However, focusing solely on performance may lead to individualism and unhealthy competition, which may deteriorate the work environment. Therefore, this research proposes that employees' cooperation, happiness and personality can promote a healthy work environment, enhancing the organisation's competitive position. A positive work environment encourages employees to work together, boosting output, creativity, and ultimately, customer happiness and growth of the organisation. In this context, structural equation modelling was used to test the impact of personality on cooperation with the moderating effect of happiness. The survey was conducted in the higher educational sector in Delhi, Noida and Ghaziabad districts under the National Capital Region of India. The data were collected from faculty members and staff, and the sample size was 447. The study concludes that an individual's personality aligned with the organisation's personality leads to happiness and cooperation, creating a healthy work environment. It also suggests that the institutions should promote happiness in the organisation to reap the benefits of even an upbeat personality.
Factors affecting motivation and performance of tourism entrepreneurs in Ethiopia Vijay Kumar Pandey, Shewangizaw Getachew Terefe, Pradeep Joshi International Journal of Entrepreneurship and Small Business, 2024 Ethiopia is one of the oldest civilisations and has huge tourism potential, but this industry has not developed as expected. Here tourism is not only a profit-earning source but also can be helpful in the poverty reduction strategy. This study has focused on the souvenir industry. Data for the study was acquired from 144 souvenir entrepreneurs. The study provides empirical evidence for the four pull motivational factors: initiation, independence, confidence, and alertness and the four push factors such as risk, dissatisfaction, effectiveness, and unemployment. The result indicated that pull factors like initiation and confidence and push factors like risk-taking positively affect sales, profit and asset performance. This study has generated new knowledge in the souvenir industry by investigating how the souvenir industry entrepreneur faces challenges in managing the business. This paper identifies the motivational factors of souvenir entrepreneurs that need to be considered by policymakers in Ethiopia to promote the souvenir industry.
IoT Applications in Wildlife Conservation: Tracking and Protecting Endangered Species R.Reena Roy, Ramakrishnan Raman, M. Amanullah, Vijay Kumar Pandey, E.N. Ganesh 7th International Conference on Electronics Communication and Aerospace Technology Iceca 2023 Proceedings, 2024 Human activity degrades natural environments, and wildlife protection is crucial. Recent technological advances have improved animal monitoring and preservation activities. This research provides a real-time wildlife monitoring and analysis system using the IoT (IoT) and machine learning, specifically the Random Forest algorithm. The proposed method uses a network of IoT devices, including motion sensors and cameras. In real-time, these sensors generate massive volumes of diverse data regarding animal movement, behavior, and environmental variables. The Random Forest technique manages this data flow and gets significant insights since it can handle high-dimensional datasets and missing values. A large dataset of animal activity, environmental, and habitat characteristics is used to train the machine learning model. The Random Forest model outperforms existing classification algorithms in a rigorous assessment procedure, allowing exact species identification. Wildlife conservationists and academics may utilize the system's user-friendly interface to engage with data and see real-time analytics. This interface helps animal population protection by supporting decision-making. It shows the usefulness of the suggested IoT-based wildlife monitoring system and Random Forest algorithm in real-time species recognition and behavior analysis. Technology and advanced machine learning may boost conservation efforts and ensure a sustainable coexistence between people and animals in their natural environments.
Enhancing Air Travel with IoT: Smart Airports and Passenger Experience N. Kalaivani, Ramakrishnan Raman, Chethan Chandra S Basavaraddi, Vijay Kumar Pandey, S. Sangeetha 7th International Conference on Electronics Communication and Aerospace Technology Iceca 2023 Proceedings, 2024 Passenger air travel experiences have been transformed by integrating Internet of Things (IoT) technology into the airline industry, giving conception to the concept of intelligent airports. It provides an advanced overview of how the IoT changes the airport experience for passengers and the industry. To improve efficiency, smart airports include IoT devices and sensors to monitor and collect real-time data. Due to IoT -enabled technologies, improvements in operational efficiency, reduced delays, and better resource allocation can be experienced across the board, from check-in through boarding and baggage handling. Wait times are shorter, security is tighter, and passengers have more direct contact with airlines. IoT also helps create tailored and smooth journeys for travelers. Passengers may get essential information, such as gate changes and flight updates, on their preferred medium, a smartphone app; for airports to better serve their customers, analytics powered by the IoT are essential. The IoT -enabled smart airports have revolutionized the air travel industry by making airports more user-friendly and placing passengers initially. Increases in connectivity and passenger satisfaction are in the works as the aviation sector continues to implement IoT technology.
Photovoltaic-Fed Buck Converter for Low Energy Efficient IoT Systems S. Srinivasan, Ramakrishnan Raman, V. Sridevi, Vijay Kumar Pandey, E. N. Ganesh International Conference on Self Sustainable Artificial Intelligence Systems Icssas 2023 Proceedings, 2023 The usage of a solar-powered buck converter within a low-power Internet of Things (IoT) system is suggested. The goal is to use solar energy to power IoT devices, which often utilize extremely small batteries and need to be aware of their impact on the environment. The system uses PV panels to gather sunlight, which the buck converter then uses to control and enhance the required voltage. Maximum power point tracking (MPPT) and pulse width modulation (PWM) are examples of control strategies used to improve efficiency and provide reliable voltage regulation. By continually modifying the PWM signal's duty cycle in response to the measured output voltage, stable functioning is ensured through feedback control. Reduced use of conventional power sources, longer device life, and the possibility of deployment in locations without access to electrical grids are just a few of the numerous benefits of the proposed system. The PV converter system is implemented in MATLAB software. This idea helps the creation of sustainable and energy-efficient IoT solutions via the use of solar power and advanced control methods.
Ingestion of Google Cloud Platform Data using Dataflow Chitra Sabapathy Ranganathan, Ramakrishnan Raman, Vijay Kumar Pandey, S. Kavitha, M. Muthulekshmi, Kanapathy Gopalakrishnan 7th International Conference on I Smac Iot in Social Mobile Analytics and Cloud I Smac 2023 Proceedings, 2023 Organizations using big data analytics to enhance operations often load data into a cloud-based data warehouse. Dataflow on Google Cloud Platform (GCP) lets users extract, manipulate, and load data from diverse sources into Google Cloud Storage or Big Query. This article discusses Dataflow's advantages for GCP data import and how to build up a pipeline. Data intake and data-driven decision-making start the article. It then presents Dataflow, which can process batch and stream data and grow automatically dependent on data volume. The report also emphasizes the advantages of adopting Dataflow over alternative data ingestion solutions, such as its smooth interaction with GCP services, its user-friendly UI, and its cost-effectiveness. The article walks through building a GCP project, setting up Google Cloud Storage or Big Query as the destination for ingested data, launching a Dataflow task, and monitoring its progress. The study also examines data storage type, pipeline runner, and pipeline parallelism recommended practices for Dataflow pipeline performance. The article concludes with Dataflow use examples for real-time analytics for e-commerce websites, data transfer from on-premises databases to the cloud, and log analysis for system behavior abnormalities. The article finishes by underlining the necessity of data intake in the era of big data and how Dataflow may help companies maximize data value by simplifying data ingestion and analysis. Dataflow for data input in GCP and how it may help enterprises employ big data analytics to expand and enhance operations are covered.
