Search results

This study examines financing decisions by Vietnamese firms and compares the results with the findings observed in economies characterized by market mechanisms and property rights. It uses data from Vietnamese enterprises census 2002–2003. Similar to findings in other countries, financial leverage of Vietnamese firms increases with firm size and managerial ownership and decreases with profitability, and with non-debt tax shield. It is also correlated with industry characteristics. Financial leverage was negatively correlated with fixed assets and positively correlated with growth opportunities, contrary to the findings in other countries. Corporate income tax has a negative, albeit small effect on financial leverage.

The purpose of this study is to analyze the relationship between public spending, budget imbalance and underground economy. In addition, this paper investigates how budget imbalance moderates the public spending–underground nexus.

By utilizing a data set spanning from 1995 to 2017 of 35 OECD countries, the study has employed Dynamic Common Correlated Effects (DCCE) approach. The study is also extended to consider the marginal effects of public spending on the underground economy at different degrees of budget imbalance.

The results indicate that an increase in public spending and budget imbalance contributes to the expansion of underground economy. Interestingly, the effects of public spending on the underground economy will enhance and intensify with a higher budget imbalance level. The results are robust to various specifications and their broader implications are discussed.

Governments should carefully implement a fiscal policy with a clear understanding that increasing public spending leads to the expansion of informality. Besides, policymakers should enforce supportive policies to boost economic growth, cooperation and cross-border trade to control the size of the underground economy.

This study stresses the role of public spending, budget imbalance on the underground economy in OECD nations. To the best of the author's knowledge, this study pioneers to explore the moderating effect of budget imbalance in the public spending–undergrround nexus.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2022-0645.

This paper aims to explore factors influencing apartment price volatility in the two biggest cities in Vietnam, Hanoi and Ho Chi Minh City.

The study uses the supply and demand approach and provides a literature review of previous studies to develop four main hypotheses using four determinants of apartment price volatility in Vietnam: gross domestic product (GDP), inflation rate, lending interest rate and construction cost. Subsequently, the Vector Error Correction Model (VECM) is used to analyze a monthly data sample of 117.

The research highlights the important role of construction costs in apartment price volatility in the two largest cities. Moreover, there are significant differences in how all four determinants affect apartment price volatility in the two cities. In addition, there is a long-run relationship between the determinants and apartment price volatility in both Hanoi and Ho Chi Minh City.

Limitations related to data transparency of the real estate industry in Vietnam lead to three main limitations of this paper, including: this paper only collects a sample of 117 valid monthly observations; apartment price volatility is calculated by changes in the apartment price index instead of apartment price standard deviation; and this paper is limited by only four determinants, those being GDP, inflation rate, lending interest rate and construction cost.

The study provides evidence of differences in how the above determinants affect apartment price volatility in Hanoi and Ho Chi Minh City, which helps investors and policymakers to make informed decisions relating to the real estate market in the two biggest cities in Vietnam.

This paper makes several recommendations to policymakers and investors in Vietnam to ensure a stable real estate market, contributing to the stability of the national economy.

This paper provides a new approach using VECM to analyze both long-run and short-run relationships between macroeconomic and sectoral independent variables and apartment price volatility in the two biggest cities in Vietnam.

The purpose of this study is to explore the relationship between government spending, public debt and the informal economy. In addition, this paper investigates the moderating role of public debt in government spending and the informal economy nexus.

By utilizing a data set spanning from 2000 to 2017 of 32 Asian economies, the study has employed the dynamic ordinary least squares (DOLS) and fully modified ordinary least squares (FMOLS). The study is also extended to consider the marginal effects of government spending on the informal economy at different degrees of public debt.

The results indicate that an increase in government spending and public debt leads to an expansion of the informal economy in the region. Interestingly, the positive effect of government spending on the informal economy will increase with a rise in public debt.

This study stresses the role of government spending and public debt on the informal economy in Asian nations. To the best of the authors' knowledge, this study pioneers to explore the moderating effect of public debt in the public spending-informal economy nexus.

By anchoring on the ability-motivation-opportunity (AMO) framework, this research aims to examine the effect of tourists' green ability, motivation and opportunity to access green information on digital media platforms (green AMO) on their intention to stay at green hotels. The study also tests the moderating role of environmental concern and the mediating role of green attitude in this relationship.

An online survey was conducted on large Facebook groups and by an international tour operator in March 2022. Through convenience sampling, 600 responses were collected from local and international tourists. Partial least squares structural equation modeling was performed to validate the research model.

The results reveal that tourists' intention to stay at green hotels is positively affected by their green AMO through indirect and direct channels. Specifically, green AMO indirectly effects tourists' intention to stay at green hotels by raising their green attitude. The results also indicate that the direct effect is moderated by environmental concern.

The findings demonstrate the importance of facilitating tourists' access to environmental information on social media platforms, which enhances green attitude and intention to stay at green hotels. This study also proposes practical solutions that managers of green hotels can employ to target green-oriented customers and conduct environmental campaigns on digital platforms.

The research is the first to investigate the effects of tourists' green AMO on their intention to stay at green hotels. It is also the first to explore the roles of environmental concern and green attitude in this relationship.

The paper aimed to examine the determinants of agricultural commercialisation of farmers and measured its commercialisation level in the highland of Vietnam.

A sample size of 360 was randomly chosen from a total population of 5,771 farmers, and a structured questionnaire was developed to collect data. Descriptive and inferential statistics, including linear regression analysis, were used to analyse the data.

The descriptive statistics showed that the average commercialisation level of farmers was 56.3%. The regression model result indicated that number of off-farm income sources, farmer's risk perception, farming practices, number of agricultural activities, motorbikes value, ethnicity, distance from the city centre, number of customers, non-traded inputs value, participation in training programmes, family size, farm size, mobile phones value, traded inputs value, land tenure, distance from the local market and education of household head significantly affected agricultural commercialisation of farmers.

Any development strategies that assist farmers in adopting commercial farming in the highland of developing countries should consider these determinants.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-03-2022-0161

Green human resource management (GHRM), seen as a current research trend, plays an important role in organizations’ sustainable development strategies. However, there is still a research gap in the systematization and integration of the available GHRM-related knowledge to suggest detailed future directions. Thus, the purpose of this paper is to conduct a systematic literature review on GHRM aimed at proposing detailed research gaps and agendas for future study.

First, this work reviews 74 articles, including 61 research/empirical articles and 13 review articles, linked with the GHRM field from the Scopus and Web of Science databases. These publications are then coded and classified into ten categories before the main findings linked with GHRM knowledge are identified. Last, the study addresses existing research gaps and proposes detailed recommendations and a research framework for further studies.

Analysis of the relevant literature is presented in the following main sections: an overview that illustrates the existing findings related to GHRM coded and classified; a description that stresses research gaps and proposes in detail 16 recommendations; and a research framework that focuses on GHRM for a future research agenda.

This review is important for researchers orient the research in GHRM by identifying research gaps and providing detailed recommendations. It is the first work that proposes a full research framework for future studies, especially suggestions of development related to green behavior outside of organizations, the circular economy, and technology based perspectives/Industry 4.0.

This study aims to explore how ethical leadership and innovative climate impact project success through employees innovative behavior. In addition, based on the conservation of resources theory, this study also examines whether time pressure moderates the innovative work behavior and project success nexus.

Data were collected from 403 employees working in Vietnam's information technology (IT) companies. The partial least squares structural equation modeling was used to investigate the impact of ethical leadership and innovative climate on project success, the mediating effect of innovative behavior and the moderating role of time pressure.

Empirical findings indicate that ethical leadership and innovative climate positively impact on project success. Moreover, employees' innovative behavior has a complementary effect on these relationships. In addition, time pressure moderates the nexus between innovative work behavior and project success.

The findings suggest that IT companies can promote innovative work behavior among employees by building ethical leadership and enhancing an innovative climate. Moreover, when designing and implementing a project, project managers should take care to allow enough time for innovative behavior within the team.

This inquiry is probably the first attempt to explore the mechanism linking ethical leadership and innovative climate to project success, with the mediating role of employees' innovative behavior. Additionally, time pressure is an increasingly relevant factor in contemporary business, but so far little explored in research. This study extends the current knowledge by considering the moderating role of time pressure in the innovative behavior and project success nexus.

This paper presents and investigates a method named M×N‐ary chaotic pulse‐width‐position modulation (CPWPM) which is based on the combination of M‐ary chaotic pulse‐position modulation (CPPM) and N‐ary chaotic pulse‐width modulation (CPWM) in order to provide a better performance in noise‐affected environments as well as improve significantly bit rate.

Analysis of schemes for modulator and demodulator are presented in detail through describing the schemes of the individual methods and their combination. Theoretical evaluation of bit‐error rate (BER) performance in presence of additive white Gaussian noise (AWGN) is provided. Chaotic behavior with tent map in variation of modulation parameters is also investigated. In order to verify the theoretical analyses, numerical simulations are carried out and their results are reported.

Both evaluation and simulation results show that when the number of symbols increases, the bit rate is improved significantly but the BER performance is just slightly worse. This makes M×N‐ary CPWPM become an effective method for chaos‐based digital communication.

Although CPPM, CPWM and M‐ary modulation methods have been described in the literature separately, their combination is presented and investigated for the first time in this paper.