Impact of project managers emotional intelligence on megaprojects success through mediating role of human related agile challenges: Project management as a moderator.

Globalization and competition drive rapid adoption of new technologies, leading to a rise in complex projects. Project managers need to know how to lead teams through the planning and execution phases of a project while keeping in line with the organization's objectives. In order to successfully manage complex projects, emotional intelligence is an essential leadership quality. Therefore, the present research aimed to investigate the impact of project manager's emotional intelligence (PMEI) on megaprojects China-Pakistan Economic Corridor (CPEC) success through mediating roles of human-related agile challenges Inventory (HRACI) and project success factors (PSF), and project management as a moderator. The study employed convenience and purposive sampling methods to collect data from 533 project managers working on CPEC projects. The Smart PLS 4 software was utilized to evaluate the hypotheses. The results of this study indicated that the direct effect of a PMEI is not significant on CPEC. However, through mediating variables, HRACI exhibited a negative and significant association, while PSF positively and significantly mediate the relationship among PMEI and CPEC. Furthermore, project management as a moderator has a significant and positive effect on PMEI and PSF, however, insignificant between PMEI and CPEC, and negatively significant among PMEI and HRACI. The findings of this study are of great significance for project managers and project leaders. They will need to acquire the skills to prevent issues from arising, particularly when conflicts emerge, in order to ensure the success of megaproject. Therefore, current study recommend that PMEI appears to have a vital role in social interactions, promoting emotions of trust, efficient communication, and cooperation with other project teams in high-stress work environments like CPEC. Lastly, theoretical and practical contributions are discussed, as well as research constraints and future research directions.

Unpacking the asymmetric impact of exchange rate volatility on trade flows: A study of selected developed and developing Asian economies.

Maintaining a stable exchange rate is a challenging task for the world, especially for developing economies. This study examines the impact of asymmetric exchange rates on trade flows in selected Asian countries and finds that the effects of increased exchange rate volatility on exports and imports differ among Pakistan, Malaysia, Japan, and Korea. The quarterly data from the period 1980 to 2018 is collected from the International Financial Statistics (IFS) database maintained by the International Monetary Fund (IMF). We employ both linear and non-linear Autoregressive Distributed Lag (ARDL) models for estimation. The non-linear models yielded more significant findings, while the linear models did not indicate any significant effects of exchange rate volatility on trade flows. The results of the study suggest that in the case of Pakistan, both the linear and non-linear models indicate that increased exchange rate volatility adversely affects exports and imports, while decreased volatility enhances both. This implies that stabilizing the exchange rate would be beneficial for Pakistan's trade. In contrast, the linear model applied to Malaysia shows no long-run effects of exchange rate volatility on exports. However, the result suggests that decreased volatility stimulates Malaysia's exports. Therefore, in the case of Malaysia, stabilizing the exchange rate could contribute to boosting exports. We also found that increased exchange rate volatility boosts exports of Japan. On the other hand, decreased volatility hurts exports of Japan. As for the long-run effects of exchange rate volatility on imports, we found that increased volatility boosts imports of Korea. The study provides various policy implications regarding the impact of exchange rate volatility on trade flows in developing economies. The study highlights the importance of country-specific considerations in understanding the impact of exchange rate volatility on trade flows, and has important policy implications for promoting trade and economic growth in these nations. It emphasizes the need to model exchange rate volatility separately for developed and developing countries and to continue research and analysis to identify ways to mitigate its negative effects on the economy.

Do economic freedom, innovation, and technology enhance Chinese FDI? A cross-country panel data analysis.

This study evaluates the determinants of Economic freedom, innovation and technology concerning Chinese foreign direct investment. The aim of the study is to explore, that how these determinants influence Outward Foreign Direct Investment (OFDI) from China toward different regional economies. The study will enrich the existing literature by providing useful policies to the concerned economies to influence more Chinese FDI to host economies. The panel data set includes 27 (African, European, and Asian) Countries data over the period of 2003 to 2018. Moreover, the study employed panel data analysis and the result reveals that property rights, patents residents (pantentAR), Research & Development (R&D), Inflation, official exchange rate (OER), and Tax Burden (TaxB) have a strong positive and significant impact on Chinese OFDI in the selected sample countries, While Government Expenditures (GovE) has positive, but insignificant impact on Chinese OFDI. On the other hand, Chinese OFDI is negatively and statistically significant association with Business Freedom (BusF). This study will put forth considerable policies to the concerned to induce further inflows of Chinese FDI into the host countries. The policymakers should build policies that provide a comfortable environment for business activities and mostly focus on value-added production i.e., expenditures on R&D to enhance high-technology exports because they efficiently attract FDI into host countries. Another key factor is Tax Burden (TaxB), which significantly influences Chinese FDI along with other factors.

Impact of internet usage on consumer impulsive buying behavior of agriculture products: Moderating role of personality traits and emotional intelligence.

E-commerce has led to a significant increase in internet purchases. The marketing sector is very competitive these days, and marketers have a difficult task: understanding the behavior of their customers. Strategic marketing planning relies heavily on consumer behavior since the consumer acts as the user, buyer, and payer in that process. Consumers' behavior changes in response to shifts in the factors that influence it. The purpose of this research is to show how Internet usage influence on consumer impulsive buying behavior of agriculture products through moderating role personality traits and emotional intelligence in China organic market. The data gathered in three months from January to March 2022, due to COVID-19 pandemic data was gathered through an online survey questionnaire sent by Chinese social media platforms including WeChat and an email address. The PLS-SEM technique and the SmartPLS software version 3.2.8 were used for data analyses. The result revealed that internet usage positively and significantly influences consumer impulsive buying behavior. Also, both moderator personality trait and emotional intelligence positively and significantly moderate the relationship between internet usage and consumer impulsive buying behavior. Lastly, theoretical and practical implications, and future directions were discussed.

Impact of Foreign Language Classroom Anxiety on Higher Education Students Academic Success: Mediating Role of Emotional Intelligence and Moderating Influence of Classroom Environment.

The current study aimed to investigate the impact of foreign language classroom anxiety (FLCA) on academic success through mediating role of emotional intelligence communication (EIC) and moderating role of class room environment. Due to the disruptive impacts of the COVID-19 pandemic, teaching and learning were moved online nation-wide. The convenient sampling technique was used, for data collection from Chinese university students. There was a total of 615 students that participated in the survey and data gathered in 5 months from November 2021 till March 2022. Covariance-based structural equation modeling (CB-SEM) in SPSS V.25 and AMOS V.22 was used to assess model fitness and hypotheses, as well as construct reliability and validity of the measurement model. The results revealed that FLCA is negatively and significantly influence students' academic success. Furthermore, EIC as a mediator significantly and positively mediates the relationship between FLCA and academic success. The current study shows that emotional intelligence has the ability to reduce students' foreign language anxiety and so improve their language skills. Lastly, classroom environment positively and significantly moderates the relationship between FLCA and emotional intelligence communication.

Corporate Governance and Humble Leadership as Antecedents of Corporate Financial Performance: Monetary Incentive as a Moderator.

Investors' confidence in the financial market is boosted by good corporate governance (CG). Good governance builds trust and improves an organization's financial performance (FP). However, organizations with bad management lose the trust of their stakeholders because they do not perform well financially. Therefore, the purpose of this study is to examine the influence of CG 89; on FP through mediating the role of humble leadership (HL) and monetary incentive (MI) as a moderator between CG and HL. Data were collected from 300 respondents who were working in various cement manufacturing organizations located in different cities of Pakistan. The analysis was performed using SPSS software version 25 and AMOS version 22 software to work out the study sample size. The result revealed that the framework of CG has a positive impact in terms of FP. Furthermore, HL positively and significantly mediates on CG, and FP is inextricably linked. However, MI acts as a moderator between CG and HL, but despite strengthening, it weakens the impact of CG' on HL. This study contributes toward the literature, specifically toward the expectancy theory literature. Finally, some theoretical and practical implications at the organizational level are offered, describing how CG influences FP within the organization, and research limitations and future directions are presented.

The Impact of Emotional Intelligence on Career Decision-Making Difficulties and Generalized Self-Efficacy Among University Students in China.

Purpose: University life is a critical time when students start thinking about their careers in the future. Emotions and confidence are important factors in the career decision-making process. This process of choosing a specific direction towards a career often opens students to many uncertain situations, leading them to stress and anxiety. Emotional intelligence and generalized self-efficacy facilitate students in effective career decision-making by coping with difficulties during academia. The present study aimed to find the impact of emotional intelligence (EI) on career decision-making (CDM) and generalized self-efficacy (GSE) among university students in China. Patients and Methods: The study included 310 undergraduate students from different universities of China. A cross-sectional research design was used and a convenient sampling technique was utilized. For the present study, Wong and Law emotional intelligence, generalized self-efficacy, and career decision-making difficulties scales were utilized. Results: Findings of the study show that there is a significant relationship between EI, GSE, and career decision-making difficulties. Results revealed a significant positive relationship of GSE with emotional intelligence. GSE has a significant negative relationship with career decision-making difficulties. Moreover, EI has a significant negative relationship with career decision-making difficulties. Conclusion: The study will help students to utilize emotional intelligence skills during academic and vocational life. For future research, qualitative studies would be conducted to better explore the underlying causes behind career decision-making difficulties.

Work-Family Conflict, Emotional Intelligence, and General Self-Efficacy Among Medical Practitioners During the COVID-19 Pandemic.

PURPOSE: In Pakistan, medical professionals face multiple challenges comprising long, fixed working hours and workload overburdening, which leads to emotional fatigue. These conflicts in work-life scenarios, brought about by high work demands causing emotional exhaustion, can create a state of distress among the medical professionals. The present study investigates the association between work-family conflict (WFC), emotional intelligence (EI), and self-efficacy (SE) among medical practitioners during COVID-19 in Pakistan. PATIENTS AND METHODS: The study sample included 140 medical professionals from Rawalpindi and Islamabad. Cross-section correlational research design was used, and information was gathered employing online surveys through a purposive sampling technique. The scales utilized were the WFC, EI, and SE Scale. RESULTS: The current study hypothesized a significant relationship between work-family conflict, general self-efficacy (GSE) and emotional intelligence among medical practitioners during COVID-19 in Pakistan. The results showed that those with more family-to-work conflict had less EI and GSE. Furthermore, findings uncovered that there is a significant positive relationship between EI and GSE. CONCLUSION: The findings propose that it is important for medical professionals to have a high level of EI and GSE to navigate through the WFC more healthily. In future, awareness seminars could be arranged related to EI and its significance to stimulate the psychological well-being of medical professionals. Future studies could also consider other healthcare workers, including nurses and internees doing house jobs and other medical staff, as they are also exposed to several stresses due to the workload and family demands.

Role of Gender-Based Emotional Intelligence in Corporate Financial Decision-Making.

PURPOSE: Business competition is getting more intense nowadays, and corporate survival is getting harder; consequently, corporate managers have to make financial decisions in complex and globalized scenarios. As a result, in order to compete in today's global economy, businesses are contemplating incorporating behavioural components of human psychology into their decision-making processes. Corporations are masters of quantitative analysis, but they rarely pay attention to behavioural elements of organizational success. Emotional intelligence is important in many parts of life; therefore, it is crucial to look at its dimensions when it comes to corporate financial decision-making. METHODS: A simple random sampling technique was used to collect data from 200 senior-level managers from the corporate sector located in the twin cities of Rawalpindi and Islamabad of Pakistan. SPSS version 22 was used to test the hypotheses. RESULTS: Results of the study show the gender-based variation in corporate financial decision-making detailing the higher impact of EI of males on CFD than their counterparts in the corporate sector organizations. The elements of self-awareness, empathy, motivation and self-regulation affect the financial decision-making of both the genders with varying degrees of influence, whereas social skills do not affect CFD of both genders. CONCLUSION: The study findings explicate that the influence of self-awareness and empathy constructs of EI on corporate financial decisions is stronger in female managers than their male counterparts. However, male managers exhibit a significantly stronger influence of motivation, social skills, and self-regulation dimensions on their financial decisions compared to female managers in a corporate setting. Overall, the impact of EI on CFD is slightly higher in male managers. These empirical outcomes imply that organizations should assess the employees not only for technical skills but also based on their emotional intelligence during the recruitment process.