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This study examines the effect of supply chain (SC) learning (i.e. supplier and customer learnings) on green innovation (i.e. green product and process innovations) and investigates the moderating role of green transformational leadership in the SC learning-green innovation linkage in the construction industry.

Data are gathered from construction firms in Vietnam by a questionnaire survey. Hypotheses of the study framework are tested by hierarchical regression analysis.

Both supplier and customer learnings have positive effects on green innovation (both green process and product innovations). Furthermore, green transformational leadership moderates the linkage between supplier learning and green innovation but does not moderate the linkage between customer learning and green innovation.

Construction firms need to constantly develop capabilities of SC learning for promoting their green innovation.

The present study is one of the first attempts in construction that investigates the importance of SC learning to achieving green innovation as well as the role of green transformational leadership for strengthening the effect of green learning on green innovation.

The present study is performed to identify the propagation mechanism of the ripple effect as well as examine the simultaneous impact of risks on supply chain (SC) performance.

A theoretical framework with many hypotheses regarding the relationships between SC risk types and performance is established. The data are collected from a large-scale survey supported by a project of the Japanese government to promote sustainable socioeconomic development for the Association of Southeast Asian Nations (ASEAN) region, with the participation of 207 firms. Structural equation modeling (SEM) is used to test the hypotheses of the theoretical framework.

It is indicated that human-made risk causes operational risk, while natural risk causes both supply risk and operational risk. Furthermore, the impacts of human-made risk and natural risk on performance are amplified through operational risk.

This study is one of the first attempts that identifies the propagation mechanism of the ripple effect and examines the simultaneous impact of risks on performance in construction SCs.

Although many studies on risk management in construction SCs have been carried out, they mainly focus on risk identification or quantification of risk impact. It is observed that research on the ripple effect of disruptions has been very scarce.

This study aims to assess the importance of transformational leadership competencies, as well as supply chain learning, to green innovation in construction at the supply chain level.

A questionnaire survey is conducted to collect data from construction firms in Vietnam. Many statistical analysis methods – including the Shapiro-Wilk test, one-sample Wilcoxon signed-rank test and Kruskal-Wallis test – are performed to achieve the research objectives.

The results indicate that the importance of most transformational leadership competencies is similarly perceived among different role groups (i.e. directors/deputy directors, project managers, consultants, quantity surveyors and designers).

This study enriches the understanding of leadership research in construction at the supply chain level and also develops a theoretical framework for theory testing research, where the relationships of transformational leadership competencies and supply chain learning with green innovation are highlighted.

Research on leadership in the green supply chain context is still limited, especially in the construction industry. Thus, this study is conducted to fill this gap of research.

This study aims to examine the impact of transformational leadership on green innovation and green learning in construction supply chains.

A theoretical framework of research hypotheses between transformational leadership, green learning and green innovation is developed. Using a survey questionnaire, data are collected from construction firms in Vietnam. Structural equation modeling is used to test the research hypotheses.

The results indicate that transformational leadership promotes both green learning and green innovation (i.e. green product innovation and green process innovation) while green learning positively affects green process innovation. Furthermore, it is found that green learning mediates the linkage between transformational leadership and green process innovation.

This study contributes to the development of leadership research in construction by showing the significance of leadership at the supply chain level.

Leadership is regarded as a key factor for most organizations' success and competitive advantages. In construction, leadership has been widely studied at the project and organizational levels while its important role is also explored at the supply chain level. Nevertheless, in terms of construction supply chains, there has been still very limited evidence about the effects of transformational leadership. Thus, this study fills the gap in knowledge by empirically examining the relationships between transformational leadership, green learning and green innovation.

This study aims to empirically investigate the impact of barriers (i.e. organizational and industrial barriers, corporate social responsibility (CSR) characteristics) on CSR practices and the roles of education and government support in mitigating these barriers. In addition, the positive effect of CSR practices on social sustainability performance (SSP) is examined.

A framework of hypotheses between barriers, CSR practices and SSP is established. Using a survey questionnaire, empirical data are collected from 17 construction firms in Vietnam. PLS-SEM is used to test the proposed hypotheses.

The results indicate that organizational and industrial barriers negatively affect CSR practices. This study also finds that education and training and government support could enable construction firms to reduce the impact of such barriers.

The data are collected in Vietnam; thereby the findings are only applicable in developing countries. Further research should also be conducted in other countries to improve the generalizability of the theoretical framework.

The findings of this study suggest that construction firms could apply several strategies (e.g. providing their employees with CSR training and education; embedding CSR into their firm policy, mission and vision) to mitigate the impact of CSR barriers and, accordingly, ensure the success of adopting CSR practices.

This study is one of the first efforts in the construction industry that empirically investigates the impact of barriers on CSR practices and the moderating effects of training and education as well as government support.

This chapter aims to expand the overreaction literature by examining whether the price reversals occur in the short-term period (i.e., 3 days) and long-term period (i.e., up to 20 days), following large 1-day price changes in Asia-Pacific markets over the period 2001–2005. Our results based on firm data in three Asia-Pacific markets, namely, Australia, Japan, and Vietnam, and static and dynamic measures of large price changes indicate the followings. First, stock prices tend to reverse over the short-term period after large price changes. Second, in the case of large price declines defined by arbitrary trigger values, investors may earn profit from exploiting the phenomena of price reversals; however, the profit is not large enough to exploit since it is less than the profit from passive funds. This result is supportive of the weak form of efficient market hypothesis. Third, we find mixed evidence of long run price reversal across markets. Forth, market conditions (i.e., bear or bull) may not explain the magnitude of price reversals. Finally, the dynamic measures of large price changes based on individual firms provide more consistent evidence across markets, which is supportive of short-term price reversals and overreaction hypothesis. This evidence exists in the emerging market of Vietnam as well as developed Australian and Japanese markets.

Perhaps the most significant development in the global business arena in the post-war period has been the emergence of the Asia-Pacific rim countries as a significant economic force.

COVID-19 hits every country’s health-care system and economy. There is a trend toward using automation technology in response to the COVID-19 crisis not only in developed countries but also in those with lower levels of technology development. However, current studies mainly focus on the world level, and only a few ones report deployments at the country level. The purpose of this paper is to investigate the use of automation solutions in Vietnam with locally available materials mainly in the first wave from January to July 2020.

The authors collected COVID-related automation solutions during the first wave of COVID-19 in Vietnam from January to July 2020 through a search process. The analysis and insights of a panel consisting of various disciplines (i.e. academia, health care, government, entrepreneur and media) aim at providing a clear picture of how and to what extent these solutions have been deployed.

The authors found seven groups of solutions from low to high research and development (R&D) levels deployed across the country with various funding sources. Low R&D solutions were widely spread owing to simplicity and affordability. High R&D solutions were mainly deployed in big cities. Most of the solutions were deployed during the first phases when international supply chains were limited with a significant contribution of the media. Higher R&D solutions have opportunities to be deployed in the reopening phase. However, challenges can be listed as limited interdisciplinary research teams, market demand, the local supporting industry, end-user validation and social-ethical issues.

To the authors’ best knowledge, this is the first study analyzing the use of automation technology in response to COVID-19 in Vietnam and also in a country in Southeast Asia. Lessons learned from these current deployments are useful for future emerging infectious diseases. The reality of Vietnam’s automation solutions in response to COVID-19 might be a reference for other developing countries with similar social-economic circumstances and contributes to the global picture of how different countries adopt technology to combat COVID-19.

This paper aims to explore the unintended effect of socially responsible human resource management (SRHRM) on employee task performance via three components of role stress: role conflict, role ambiguity and role overload.

Data was collected from 360 employees who were working in companies in the south of Vietnam and the study hypotheses were tested using structural equation modelling (SEM).

The results indicate that SRHRM increases role conflict, role ambiguity and role overload, which negatively affect employee task performance.

The key practical implication of our study is that SRHRM may decrease employee task performance via role conflict, role ambiguity and role overload. Managers should be aware of these findings and devise a plan to reduce the role stress that results from implementing SRHRM.

This study provides empirical evidence of the destructive consequences of SRHRM and contributes to a more complete perspective of how SRHRM affects employee performance.

This study aims to analyse the consumption inequality between farm and non-farm households in rural Vietnam, using the data from the 2016 Vietnam household living standards survey.

The present paper applies the “recentered influence functions (RIF)” in “Oaxaca-Blinder (OB)” type decomposition as proposed by Firpo et al. (2018) to allow for the flexible distribution of the outcome variables and the non-randomness of non-farm employment that violates the classical linearity assumption.

Non-farm households have significantly higher per capita consumption expenditure than farm households for the entire distribution. The gap in expenditure is large at low percentiles and narrowing with higher percentiles. At 10th percentile, the gap is estimated at 27.1%, but it is decreasing to 11.1% at 90th percentile. Most of the gaps are explained by the differences in the observed characteristics between farm and non-farm households such as ethnicity, education, income, internal transmittances and household composition. Non-farm households are endowed with more productive factors that result in higher per capita consumption expenditure.

Gaps in ethnicity and education are found to be key predictors of the inequality in consumption expenditures between farm and non-farm households, then, government policies that are aimed at increasing access to non-farm employment and education for ethnic minorities and for rural poor households are pathways to improve rural household welfare and hence reduce inequality.