Varadaraj Aravamudhan

Many investors have relied on Bitcoin as a hedge against inflation. However, differences in inflation measurement and monetary policies across countries make it difficult to determine whether Bitcoin effectively serves as an inflation hedge. This study examined Bitcoin’s effectiveness as an inflation hedge in the United States and India using monthly data on Bitcoin returns and Consumer Price Index (CPI) changes from January 2015 to December 2024 (N = 118, after first-differencing and lag alignment). The study employed Ordinary Least Squares (OLS) models, bivariate Vector Autoregression (VAR) Granger causality tests, Bai–Perron Structural Break Analysis, Impulse Response Functions (IRFs), and Quantile Regression analyses. The findings revealed no significant relationship between CPI and Bitcoin returns in either the United States or India, providing no empirical support for the Fisher Hypothesis. However, Granger causality results showed that lagged Bitcoin returns significantly predicted future U.S. CPI values, while no such relationship was observed for India. The predictive power of the model for the U.S. was lost after October 2022 due to the crypto winter phenomenon. This indicates that Bitcoin is not used as a hedge against inflation but is rather considered a financially driven information asset, which is subject to market influences.

In our fast-paced digital age, Corporate Social Responsibility (CSR) has transformed into a more strategic concept known as ESG. Nowadays, Artificial Intelligence (AI) plays a pivotal role in how businesses operate and govern themselves, allowing for real-time accountability regarding ethics and sustainability. This chapter delves into the relationship between CSR and AI ethics, particularly through the lenses of Human Resources (HR) and Finance. It references important frameworks like Carroll's CSR Pyramid, the Triple Bottom Line, and the Corporate AI Responsibility framework. Through various case studies, we see how AI is applied in HR—especially in recruitment—and in Finance, with a focus on ESG reporting. While AI does come with challenges such as data privacy, security, and reliability, when used thoughtfully, it can foster stakeholder trust and enhance risk management. The chapter emphasizes the transition from CSR to ethical AI, highlighting the necessity for responsible AI in a world that values transparency and sustainability.

With internal marketing (IM) practices serving as a moderator, this article intends to investigate the nature of the link between job insecurity (JI) and turnover intention (TI). The survey included Jordanian Islamic bank employees. Using a basic random sample, a total of 284 replies from various Jordanian Islamic banks were gathered and evaluated; the response rate was thus (78.8%). SPSS software was used to perform a descriptive study of the respondents' demographic characteristics. SmartPLS made use of the measurement, structural model, and test hypotheses of the study framework. The study's key results show a substantial positive association between work instability and desire to leave. Additionally, it shows a strong influence of internal marketing's moderating function on the association between work instability and desire to leave. Employees who feel insecure in their jobs may have intentions to quit, which might be one argument in favor of this connection. Otherwise, they need internal marketing techniques from the organization's side to enhance their performance and persuade them to abandon their plans to leave this company. This result of our correlation research demonstrates that internal marketing implementation inside firms displays the function that it plays in attaining job instability and turnover intention. The banking industry, financial institutions, and other businesses in any nation looking to retain their staff may all benefit from this research. The moderating influence of internal marketing in the direct link between job insecurity and turnover intention in the Islamic banks in Jordan was one of the social issues this article attempted to solve. The fact that every study builds on earlier work means that this cannot be done in a vacuum. We were directed to concentrate on bridging the information gaps concerning such a situation by doing an extensive literature study of books and periodicals on what is currently known about the topic.

The unexpected COVID-19 outbreak has threatened the world and derailed the socioeconomic lives of people. In this context, this study is aimed to discuss the implications of COVID19 in textiles sector in India along with major issues and challenges on demand and supply sides. This study determines the impact of crisis which affected demand and supply in textiles and fashion industry. COVID-19 has several implications for this industry, be it from demand or production. Its presence is observed in different aspects of the industry. This study uses secondary data collected from various sources like studies published in peer-reviewed journals. This study focuses on the need to think differently to deal with this unexpected crisis. Relaxation of tax compliance rules and deadlines, especially for small-scale segments is one of the potential solutions, so that the conditions of customer demand are not affected directly. In addition, more comprehensive financial relief package could be announced for textiles sector, considering the export- and labor-intensive processes to stem the adverse effects of pandemic. Rebates on exporters could be the next major step against the remission of taxes or duties on exports. This study was conducted during the COVID-19 crisis. More studies would be needed in post COVID era to generalize the findings. The combative measures and actual impact may be evolutionary and dynamic. The analysis focuses on the “out of the box” thinking to deal with unexpected crisis, but it may have different aspects to be discussed as the crisis unfolds. There is a lack of significant research on the impact of COVID-19 on textile industry in India. This study could be the stepping stone for researchers to study the impact on textiles sector and help policymakers to prepare for unexpected crises in future.

During the last three decades, significant research has been undertaken on the characteristics and relationships of the marketing organization with the implementation of strategies. These are the structure, culture, processes, and influence and leadership characteristics of the marketing institution. However, there has been little attention given to the human resources management policies of the marketing staff. These policies are one of the strongest sensations of people and organizations, when properly implemented, to conduct themselves correctly. In this study, we show that mid-level marketer implementation of HR policies differ substantially in the type of marketing strategy adopted by the companies. Companies with aligned enterprise and marketing strategies have achieved considerably stronger performance than companies with unequalled business and marketing strategies.

Lean principles and lean management are increasingly implemented in various sectors of organisations. Lean has shown visible effects in enhancing productivity, reducing wastage of time and materials while still maintaining customer satisfaction as well as employee satisfaction. Lean philosophy is about people understanding their motives and aspirations. Most of the literature works on lean say that the key driver for lean implementation is employee involvement and satisfaction with the process. Hence lean always focuses on employee motivation and their work performance. This thesis is proposed to study on the impact of lean on job satisfaction in organisations. The research data will be collected using the survey tool by distributing questionnaires to organisations that implement lean principles. The respondents who belong to the group that handles everyday work process and services will be selected to participate in the survey. The research survey data will be analysed using Microsoft Excel along with statistical tools like Correlation in order to have an in depth understanding on the findings of the research proposed through several hypothesis.