It was established in 1973 by Industrial Finance Corporation of India and is located in Gurgaon, a commercial hub near the Indian capital of New Delhi.
Recent supply chain research has called for more empirical investigations into how cognitive biases influence decision-making processes such as logistic provider (LP) selection. Grounded in behavioural theories, this study examines how supply chain managers’ cognitive biases, including framing and anchoring effects, influence sustainable LP choices. Furthermore, the study examines whether attentional bias towards framed information mediates the influence of framing on the evaluation of LP. Two behavioral experimental studies were conducted. The first study employs the experimental vignette methodology, wherein participants assume roles in procurement and supply chain management. The second study employs an eye-tracking device in a controlled experiment. Theoretically, this research contributes to the literature on behavioral operations, sustainable supply chains and decision framing in several ways. First, it empirically demonstrates that decision parameters framed in the gain versus loss contexts influence the selection of sustainable LPs, a decision traditionally modeled as a rational optimization problem in supply chain research. Second, it reveals specific spillover effects in LP evaluations, where a negatively framed environmental attribute influences the evaluation of unframed social attributes but does not influence unframed economic attributes. This finding extends framing research from single attributes to multidimensional evaluation contexts. Third, it observes a partially mediating role of visual attention in the relationship between framing and outcomes of LP evaluation, suggesting that other cognitive mechanisms may also influence LP choices. The study offers actionable insights for both buying firms and logistics providers about the influence of strategically framed communication of sustainability information on LP evaluations.
This study presents a replication and critical assessment of Jawadi et al. (2023), which explores the relationship between oil prices and the macroeconomy of the Eurozone. A key conclusion of their study is that monetary policy has limited effectiveness in mitigating the effects of energy inflation, leading to a recommendation for additional fiscal measures. Our replication identifies several methodological and empirical inconsistencies that may affect the validity of the reported findings. These include potential violations of theoretical principles, challenges in empirical interpretation, and concerns regarding model specification and estimation. For instance, some lagged dependent variable coefficients exceed one, suggesting possible stationarity issues, as certain non-stationary variables appear to have been treated as stationary. Additionally, residual diagnostics for both linear and nonlinear regression models indicate departures from standard assumptions, such as non-normality, autocorrelation, and heteroscedasticity, which may influence the reliability of the results. While Jawadi et al. (2023) report a minimal impact of monetary policy, our analysis suggests that the European Central Bank (ECB) rate plays a more substantial role in economic growth dynamics, particularly during periods of significant oil price fluctuations. These findings indicate that the role of monetary policy in addressing energy inflation may warrant further consideration.
This study examines the intricate relationship between economic growth, carbon emissions, and institutional quality across the extended BRICS countries, comprising Brazil, Russia, India, China, South Africa, Iran, Egypt, Ethiopia, and the United Arab Emirates, from 2000 to 2023. To address endogeneity and omitted variable bias, the model incorporates Foreign Direct Investment (FDI) alongside institutional quality and emissions. Using panel unit root and cointegration tests, we confirm that the variables are non-stationary at levels but stationary after first differencing, and share a long-run equilibrium relationship. Long-run estimates are obtained through Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS) to quantify the long-run impacts of explanatory variables on economic growth. The key results support the notion that institutional quality is a key determinant of the growth-environment relationship. Our results also confirm that carbon emissions have an adverse “significant” effect on economic growth. However, their adverse impact diminishes in more institutionalized countries. Moreover, the significant and positive interaction impact between institutional quality and CO2 emissions suggests that effective institutions can decouple growth from environmental degradation, reinforcing the hypothesis of moderated environmental management dynamics of the environmental Kuznets curve (EKC). In addition, the quality of institutions has a positive and independent impact on GDP growth, highlighting the need for a strong institutional foundation to perform well in the economy. FDI is found to boost growth, while its environmental impact depends on governance quality. Panel Granger causality tests also confirmed bidirectional causality between GDP and CO2 emissions, as well as unidirectional causality from CO2 emissions to institutional quality. These findings underscore the importance of institutional reforms for achieving inclusive growth and climate goals, aligning closely with the SDGs.
BACKGROUND:For today's Indian college students, social media is deeply embedded in daily academic and social life. While digital platforms offer opportunities for connection, they also heighten the fear of missing out (FOMO), which may undermine well-being. This study examines the complex relationship between social networking intensity (SNI), FOMO, and mental well-being (MW), focusing on both mediating and reciprocal dynamics. METHODS:A structured survey was conducted among 357 students enrolled in professional courses in Indore, India. Standardized scales measured SNI, FOMO, and MW. Data were analyzed using factor analysis and structural equation modeling (SEM) to test the hypothesized pathways. RESULTS:Findings confirm that SNI is positively associated with FOMO, and FOMO significantly mediates the relationship between SNI and MW. At the same time, the results suggest a potential bidirectional pattern: students with higher baseline FOMO may engage more intensively in social networking, reinforcing a feedback loop between emotional vulnerability and digital usage. CONCLUSION:The study highlights that the psychological effects of social networking cannot be reduced to usage time alone but are shaped by reciprocal interactions between emotional experiences and digital behaviors. Interventions should focus on digital literacy, resilience to social comparison, and balanced online engagement. Recognizing the possibility of this feedback loop is critical for designing effective campus-based mental health strategies in India and beyond.
Economic sanctions engender the disturbance of financial transactions between the sanctioner and the targeted nations. The Russia-Ukraine war also restricted Russia's entry into financial and commodity markets, with reverberating effects on the global market. Hence, the study aims to elucidate the relationship between armed conflicts and economic sanctions enforced by the G7 nations, the crude oil market, and its corresponding volatility index, OVX. It seems that heightened levels of ambiguity, conflict, nervousness, and hostility have contributed to an increase in the fluctuation of the energy market, leading to an extreme response to economic sanctions. Our findings reveal that financial restrictions imposed by Australia, Japan, the UK, and the USA have led to higher uncertainty and increased volatility in the oil market. The news variable War exhibits higher volatility compared to Crude oil and Recession in the media press. The war-induced uncertainty has shown a significant impact on the oil volatility.
