Unraveling the Puzzle of Turnover Intention: Exploring the Impact of Home-Work Interface and Working Conditions on Affective Commitment and Job Satisfaction.

This study investigates the antecedents of turnover intention among Vietnamese nurses at a hospital in Quang Ninh Province, North Vietnam. This study evaluates the relationship between home-work interface (HWI) and working conditions (WC) on intrinsic job satisfaction (IJS) and extrinsic job satisfaction (EJS), the relationship between intrinsic job satisfaction (IJS) and extrinsic job satisfaction (EJS) on affective commitment (AC) and turnover intention (TI), and the relationship between affective commitment (AC) and turnover intention (TI). The study employs cross-sectional data and a questionnaire survey to collect the data. The 306 qualified questionnaires were collected, and partial least squares structural equation modeling (PLS-SEM) was employed to analyze the research model and test the hypotheses. The study reveals that working conditions and the home-work interface affect intrinsic job satisfaction. Intrinsic and extrinsic job satisfaction affect affective commitment. Interestingly, affective commitment and intrinsic job satisfaction were not significantly affecting turnover intention. The present study develops and empirically examines a conceptual framework by providing theoretical insight and managerial implications into the turnover intention's antecedents in Vietnamese nursing care at the hospital.

Are green HRM Practices enough to build successful green ventures interlinked with innovation and knowledge-sharing behavior? Case of China.

Green practices are now treated as an essential component of organizational element and firms are now exploring ways to incorporate new growth strategies that ensure environmentally friendly methods. The present study focuses on manufacturing industry in China and identify that green HRM practices influence eco-innovation and organization's knowledge-sharing culture. The study also aims to identify whether eco-innovation and knowledge-sharing culture help to build successful green venture and provide indirect path to green HRM and green ventures. An adopted survey was used to collect data from manufacturing employees and SPSS-AMOS is employed to assess the model reliability and proposed hypotheses. Study outcomes reveal that green HRM practices increase knowledge-sharing behavior and promote green innovation. Findings also expose that eco-innovation and knowledge-sharing behavior are potential mediator, hence provide an indirect path between green HRM practices and green ventures. Results confirm that essentiality of green HRM in order to promote knowledge-sharing behavior among employees through which environmental commitment can be fulfilled by organizations, further leading to successful green venture.

The moderating impact of government support on the relationship between tourism development and growth, natural resources depletion, sociocultural degradation, economic environment, and pollution reduction: case of Indonesian economy.

Tourism development is being treated as an essential element of national establishment as it has the potential of promoting cultural diversity and increase economic growth of country. However, it is also viewed as a culprit due to depletion of natural resources. In this respect, it is quite thoughtful to probe the government support and its moderating impact on association of tourism development with sociocultural degradation, national resource depletion, economic environment, and pollution reduction in Indonesian context, as Indonesia is known to be rich in terms of natural resources and recognized as the multicultural country. By using PLS methodology, the association among outlined construct and model significance has been probed in the sample of tourism management authorities. Findings disclose that government support and policy intervention significantly moderates tourism development and growth and depletion of natural resources in Indonesia. Insights from the findings finally help in proposing some unique implications that are beneficial for policymakers and practitioners.

Linking Passion for Work and Emotional Exhaustion in Indonesian Firefighters: The Role of Work-Family Conflict.

This study employs a theoretical and comprehensive framework for investigating the relationship between passion for work, work-family conflict, and emotional exhaustion. Drawing from the dualistic model of passion, we posited that passion could provoke negative feelings, leading to strict determination and inhibiting the attainment of an effective, balanced life. However, there is little empirical evidence to support the dualistic model of passion's notion that passion either can assist employees in balancing their various life responsibilities or impede such a balance. The purposes of this study are threefold: first, to investigate the impact of passion for work on work-family conflict; second, to examine the relationship between work-family conflict and emotional exhaustion; and third, to clarify the mediating process of work-family conflict in the relationship between passion for work and emotional exhaustion. A cross-sectional survey was employed to gather data from Indonesian firefighters (n = 398). PLS-SEM was utilized to test the proposed hypotheses. Our results revealed that obsessive passion negatively affects emotional exhaustion. The underlying reason for this result is due to self-conceptions based on community expectations, receiving help from others to solve problems, and improving well-being even when problems arise. Our results suggest that organizations encourage employees' harmonious development, providing employees with skills necessary to deal with challenging situations and providing a family-supportive policy.

A Survey on Machine Learning and Internet of Medical Things-Based Approaches for Handling COVID-19: Meta-Analysis.

Early diagnosis, prioritization, screening, clustering, and tracking of patients with COVID-19, and production of drugs and vaccines are some of the applications that have made it necessary to use a new style of technology to involve, manage, and deal with this epidemic. Strategies backed by artificial intelligence (A.I.) and the Internet of Things (IoT) have been undeniably effective to understand how the virus works and prevent it from spreading. Accordingly, the main aim of this survey is to critically review the ML, IoT, and the integration of IoT and ML-based techniques in the applications related to COVID-19, from the diagnosis of the disease to the prediction of its outbreak. According to the main findings, IoT provided a prompt and efficient approach to tracking the disease spread. On the other hand, most of the studies developed by ML-based techniques aimed at the detection and handling of challenges associated with the COVID-19 pandemic. Among different approaches, Convolutional Neural Network (CNN), Support Vector Machine, Genetic CNN, and pre-trained CNN, followed by ResNet have demonstrated the best performances compared to other methods.

Impact of corporate sustainable practices, government initiative, technology usage, and organizational culture on automobile industry sustainable performance.

The increasing worldwide automobile production and usage adversely impact the environmental, economic, and social well-being. Although the automobile companies are trying to solve this problem by adopting corporate sustainability, there is a gap in the extant literature on sustainable corporate practices that are the most important to empower better sustainability performance. This study highlights the impact of core corporate sustainable practices attributes, government initiative, technology usage, and organizational culture on the sustainable performance of the automobile industry in India. The study proposed six aspects and fifty-three criteria from the literature review. The current article has used survey questionnaires to collect the primary data. The present article also applied the smart-PLS to test the association among the variables. The results indicated that the corporate sustainable practices attributes, technology usage, and organizational culture have a positive and significant linkage with the sustainable performance of the automobile industry. The current article guides the regulators in developing the regulations to improve sustainable organizational performance using sustainable corporate practices.

Economic and tourism growth impact on the renewable energy production in Vietnam.

High economic and tourism growth demand extensive energy production that needs the energy creation industry's attention and demands the researchers' and policymakers' emphasis. Hence, the present study examines the impact of economic and tourism growth on renewable energy production (REP) in Vietnam. The present research has taken the gross domestic product (GDP), exports, human capital, and employment rate to measure the economic growth, while international tourism receipts and expenditures have been used to measure the tourism growth. The secondary data have been extracted from 1983 to 2020 using World Development Indicators (WDI) database. The Nonlinear Autoregressive Distributed Lagged (NARDL) model has been applied to investigate the linkage between the constructs. The findings indicated that GDP, exports, human capital, employment rate, international tourism receipts, and expenditures have a significant and positive relationship with REP in Vietnam. These results guide the regulators while making regulations related to the extensive energy production in return for high economic and tourism growth.

The Effect of Physician Communication on Inpatient Satisfaction.

(1) Background: The importance of physician-patient communication and its effect on patient satisfaction has become a hot topic and has been studied from various aspects in recent years. However, there is a lack of systematic reviews to integrate recent research findings into patient satisfaction studies with physician communication. Therefore, this study aims to systematically examine physician communication's effect on patient satisfaction in public hospitals. (2) Methods: Using a keywords search, data was collected from five databases for the papers published until October 2021. Original studies, observational studies, intervention studies, cross-sectional studies, cohort studies, experimental studies, and qualitative studies published in English, peer-reviewed research, and inpatients who communicated with the physician in a hospital met the inclusion criteria. (3) Results: Overall, 11 studies met the inclusion criteria from the 4810 articles found in the database. Physicians and organizations can influence two determinants of inpatient satisfaction in physician communication. Determinants of patient satisfaction that physicians influence consist of amounts of time spent with the patient, verbal and nonverbal indirect interpersonal communication, and understanding the demands of patients. The organization can improve patient satisfaction with physician communication by the organization's availability of interpreter service and physician workload. Physicians' communication with inpatients can affect patient satisfaction with hospital services. (4) Conclusions: To improve patient satisfaction with physician communication, physicians and organizational determinants must be considered.

Why and When Do Employees Hide Their Knowledge?

This study establishes a theoretical and integrative framework for analyzing the relationship between knowledge hiding and task performance. The existing literature indicates that knowledge hiding is prominent in service sector firms and impedes knowledge transfer. However, the potential determinants and consequences have not been extensively investigated. The objectives of this study are threefold: First, examining the effect of distrust and the complexity of knowledge on knowledge hiding. Second, examining the effect of knowledge hiding on task performance. Third, examining the conditional effect of task relatedness in the relationship between distrust, knowledge complexity, and knowledge hiding. We conducted an online survey by using a Google form to collect our data. We gathered data from 325 salespersons in the business departments of a single firm in Indonesia. To test our hypotheses, we employed Partial Least Square (PLS). The results revealed that distrust and knowledge complexity are critical factors in predicting knowledge hiding. Interestingly, knowledge hiding positively affects task performance. The rationale behind this result is that employees tend to believe that hiding knowledge is a strategy to boost their performance in the short run. The contribution of this study is the suggestion that organizations should implement a knowledge-sharing culture to minimize knowledge hiding.

Assessing Financial Risk Spillover and Panic Impact of Covid-19 on European and Vietnam Stock market.

This study examined the influence of tail risks on global financial markets, which aids in better understanding of the emergence of COVID-19. This study looks at the global and Vietnamese stock markets impacted by the COVID-19 pandemic to identify systemic emergencies. Risk dependent value (CoVaR) and Delta link VaR are two important tail-related risk indicators used in Conditional Bivariate Dynamic Correlation (DCC) (CoVaR). The empirical findings demonstrate that when COVID-19's worldwide spread widens, the volatility transmission of systemic risks across the global stock market and multiple exchanges shifts and becomes more relevant over time. At the time of COVID-19, the world industrial market was larger than the Vietnamese stock market, and the Vietnamese stock market posed a lesser danger to the global market. A closer examination of the link between the Vietnam value-at-risk (VaR) range index sample and the world stock index indicates a significant degree of downside risk integration in key monetary systems, particularly during the COVID-19 era. Our study findings may help regulators, politicians, and portfolio risk managers in Vietnam and worldwide during the unique moment of uncertainty created by the COVID-19 epidemic.