The stability and growth of a bank depend on the efficient management of credit risk associated with its operations. In this study, credit risk management has been examined to determine whether Indian banks perform better economically as a result of managing their credit through the case study approach. In this instance, liabilities and NPAs represent independent variables with respect to credit risk management while ROA has been taken into account when considering the dependent variable, for which the impact has been determined through correlation and regression analysis. The observations of the results indicate that credit risk management has a significant bearing on bank performance when represented by liabilities but not in the case of NPA. It has been recommended to monitor and control risks associated with granting credit by the banks, so that the smooth functioning of banks would not be hampered and their long-term stability, profitability and growth can be ensured.

Social capital forms the most valuable asset in an organization, as it contributes to the development of the organization's human and intellectual capital. This research explores how social capital can be enhanced by job design. It investigates the impact of contact characteristics of job design—frequency of contact, duration of contact, and physical proximity—on social capital. The data were collected from 203 participants working in four bottled water factories operating in Saudi Arabia. The results indicate that frequency and duration of contact have a significant impact on social capital. This study contributes to the literature by providing empirical evidence about the impact of relational characteristics of job design on social relations in the workplace.

Globalization has facilitated the development of contemporary economies and connected individuals worldwide, among other technological advancements and resource development. It is simple to overlook how rapidly industrialization and economic growth have affected biodiversity due to globalization. Unquestionably, globalization has contributed to the destruction of our world, from pollution to climate change and global warming. To verify the associations between the variables, a linear ARDL (autoregressive distributed lag) technique was applied. Results indicate that GDP and CO2 emission are related to each other in the long run, whereas the confirmation of EKC is also strongly confirmed with the sign of GDP2. Energy use and urban population are positively significant at a 1% confidence level.

Consumer-Generated Advertising (CGA) on digital platforms, including as blogs, videos, social media, hashtags, tweets, and retweets, has become increasingly popular in recent years as a result of the considerable rise in smartphone usage. Readers are engaged by a potent online marketing approach with efficient online CGA. The amount of research being done on the whole scope of Purchase Intention Influencers in the context of Online CGAon C2C Sites is growing daily. In the literature on marketing and consumer interaction, many structures for defining intention to purchase goods and services that are influenced by online CGA are disclosed. The current study examines the elements that influence customers' willingness to make purchases as a result of CGAon C2C platforms. An in-depth qualitative analysis was conducted. The current study concludes that the key variables influencing purchase intention are the consumer's internet experience, perceived enjoyment, usefulness, ease of use, trustworthiness, attitude, social influence from friends, family, and experts, subjective norm, and perceived behavioural control. This conclusion is based on a literature review and qualitative investigation. The results of this study suggest that while developing marketing techniques to sway consumers' purchase intentions, more attention should be paid to the aforementioned aspects.

Crowdsourcing within an organization represents a novel area of research, focused on exploring how crowdsourcing can contribute to the strategic rejuvenation of a company. This study seeks to empirically investigate how crowdsourcing affects organizational learning and creativity, and it aims to determine whether organizational learning plays a mediating role in the connection between crowdsourcing and creativity. To conduct this research, a quantitative approach was employed using SPSS and the PROCESS macro, version 4.0. A survey, which was self-administered, was utilized to collect data from 300 IT firm managers in India. The findings indicate that crowdsourcing has a significant impact on both organizational learning and creativity. Additionally, the results demonstrate that organizational learning significantly influences creativity. Furthermore, organizational learning is shown to partially mediate the relationship between crowdsourcing and creativity, highlighting how crowdsourcing can enhance creativity through the mechanism of organizational learning.

Russia's full-scale offensive has forced Ukraine to reconsider its old economic policy and set priorities that will lead to the elimination of the catastrophic consequences of Russia's actions. The direction of Ukraine's development should be focused on ending its deep dependence on the Russian market and should include all macroeconomic policy measures. The article highlights the real economic opportunities and current conditions, as well as the problems that limit real economic development. On the basis of the analysis, the author identifies directions of national policy to encourage modern changes based on production efficiency. In this regard, the article determines that investment and technological development should be aimed at encouraging high value-added industries. At the same time, equal access to markets and resources should be ensured for various participants in economic relations, and new methods of using limited resources should be developed. Overall, the article concludes that a balanced policy and consistent, timely external support can help ensure the stability of the macroeconomic and financial system. The paper argues that strong accountability and rapid reforms are essential for macroeconomic and financial stability in difficult times.

Academic interest in ESG has increased significantly in the last few years. However, bibliometric and visualization research on this subject remains limited. The aim of this study is to ascertain the direction of ESG research from 2007 to 2022 and make an effort to provide an agenda for research for future studies.The Dimensions database is used to generate the data utilized for the present study.The study examines at both previous and current research problems with the objective to provide an overview of the ESG field and better understand its growth.As a result, to ascertain the current status of scientific research and map the intellectual framework of ESG in order to identify patterns and provide valuable data to academics focusing on related subjects.Although environmental, social, and governance research is still in its infancy, it has made tremendous progress over the last 15 years leading to a number of significant findings. In addition, this article can help academics who have already started ESG research to improve the efficiency of their scientific research by sorting through the existing literature. On the one hand, this study can help academics who are new to the field by providing them with direction that makes it easy for them to learn an understanding of the field and quickly access important and relevant information.

This paper investigates the production, growth rate, and decomposition analysis of groundnut in India for the study period. The 60-year period of the study is divided into three sub-periods with intervals.where growth rate analysis was performed accordingly. Secondary data is used to examine the growth rate and it was observed that production and productivity also increased from 1 to 67percent during the study period, due to the launch of different schemes by the government. The results showed that the groundnut production rate in India increased significantly by 0.74 percent annually since the productivity rate increased significantly by 1.30 percent per annum. The decomposition analysis of the relative contribution of area and price effect was positive and yielded a high output of groundnut due to the development of many policies related to area extension and price policy by the government.

Presently, a survey reflects on research issues involving the complexity of the strategic planning, cognitive tests of policy planners, and computerized support for planning approaches that use artificial intelligence techniques. A non-linear financial intelligence mixedinteger framework (NFIMF) is proposed to support strategic management decisions in IT-based business. Furthermore, Counter interpretation of financial performance improvements with a lower cost has been developedin this research. Consequently, a model-based method for analyzing these early phases using artificial intelligence helps create a strategic decision to analyze unstructured behavior. This paper is intended to establish a better measuring structure and an effective strategic cost management evaluation system. There aretwo main parts of the article: to find a way of accurately measuring strategic costs and then to use it more closely. The numerical findings show that the proposed NFIMF method achieves high Firms' performance ratio of 98.9%, prediction ratio of 97.4%, an efficiency ratio of 96.2%, values, and a firm's profitability ratio of 95.6% and cost reduction ratio of 10.1% when compared to other existing approaches.

The efficient application of Human Resources (HR) analytics has become essential in the constantly evolving world of contemporary enterprises. In the context of HR analytics, this study explores the complex interactions between Performance Expectancy, Effort Expectancy, and Decision Making. While Effort Expectancy concentrates on the perceived ease of utilizing these tools, Performance Expectancy shows employees' views in the effectiveness of HR analytics tools in increasing job performance and organizational success. Organizations looking to maximize their HR strategy must comprehend how these aspects affect decision-making. This study examines the body of research to reveal the substantial impact that Performance Expectancy and Effort Expectancy have on employees' use of HR analytics tools. The results show the significance of encouraging positive perceptions about the benefits of employing HR analytics, in addition to underscoring the significance of user-friendly interfaces. By recognizing this connection, companies can build user-friendly analytics solutions that improve employee engagement and enable datadriven decisions, which are essential for organizational growth and competitiveness.

This study aimed to comprehensively analyze the body of knowledge to determine how emotional intelligence (EI) and self-esteem (SE) affect an individual's social adjustment during adulthood. We explore relevant research to understand how these factors impact one's ability to handle social settings effectively. Together, these studies provide compelling evidence that individuals with a more significant level of emotional Intelligence (EI) and good self-esteem (SE) should react to stressful situations more adaptable than individuals with lower EI and negative SE, including reducing reactivity (less psychological deterioration, less physiological arousal), and recovering from stressful situations more quickly as considered. Even though the fundamental mechanisms through which emotional intelligence and self-esteem are related to those outcomes remain largely unknown. This study identifies important areas that still require attention and offers detailed guidelines for designing, implementing, and evaluating future treatments that promote emotional intelligence and self-esteem, leading to better adult social adaptability.

Digital transformation in the economy is a key process that brings significant changes to the operations of modern businesses. This transformation defines new structures and functions of enterprises, as well as affects their competitiveness and ability to adapt to changes in the digital world. In this context, the aims are to review and analyse the key aspects of digital transformation and its impact on the structure and functions of enterprises. Methodology: In our research, we used various approaches and methods: monographic, systematic, induction and deduction, graphical and tabular.

This paper aims to analyze the region-wise trends in the global tourism industry for the past 15 years. The study has adopted a mixed approach, and the data from United Nations World Tourism Organization (UNWTO) along with World Bank Open Data from 2005-2021 has been analyzed. The region-wise analysis on four parameters has been done viz., 1) Number of establishments, 2) Average length of stay, 3) Occupancy rate / bed-places (Percent), and 4) International touristarrivals.The study found that the hotels were not occupied to their full strength, and the number of international tourists dipped,except in the Virgin Islands (U.S), which witnessed a 4.48-time tourist arrival in 2020 compared to 2018. The results also show that the number of establishments globally and the average length of stay have remained almost constant, with few countries showing signs of increased stay over time. The study also finds that global and government intervention and a strategy to develop scenario planning that countries can adopt during uncertainty are required