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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.

The qualitative (focus group) portion of this study aims to examine the perceptions and opinions of corporate and nongovernmental organization (NGO) executives in Vietnam about corporate social responsibility (CSR) programs, issues and priorities in Vietnam, the role of various external stakeholders in supporting CSR practices and how corporates and NGOs can work together to support each other’s CSR agendas. The quantitative (survey) portion of this study aims to examine how Vietnamese companies across different sectors prioritize CSR issues and goals, budget for CSR, report on CSR and centrally (or decentrally) manage CSR programs.

This is a qualitative and quantitative research study of executives in NGO, multinational and domestic-only firms operating in Vietnam. Qualitative (focus group) data were collected from 20 participants in three focus groups. Quantitative data were collected through an online survey of respondents from 186 companies throughout Vietnam.

The focus group findings support the research literature that CSR agenda and priorities amongst Vietnamese domestic companies are strongly influenced by long-standing norms, values and religious beliefs embedded in the Vietnamese culture that support their role in charitable giving and improving the welfare and well-being of Vietnamese citizens. The findings also indicate that CSR and sustainability programs are more fully funded and developed by multinational subsidiaries in Vietnam who have more capital and human resources to support their initiatives. The survey findings indicate that enhanced reputation, attracting new customers, securing more sustainable supply chains, developing innovative or new products/services and improving risk management are the top five business goals amongst the 186 companies surveyed.

While the qualitative research uncovered important trends and issues in CSR amongst NGO and corporate participants, the focus was limited to the defined geographic areas of two main urban hubs.

This study aims to explore the intention–action relationship of small and medium-sized (SMEs) firms with knowledge capital that declare their intention to internationalize from their inception.

The authors apply the theory of planned behavior and hand-collect a database of Chinese born globals, purely domestic firms and traditional exporting firms. The authors’ hypothesis is that Chinese born globals [or young aspiring globals (YAGs)] will strive to acquire domestic and international patents at an early stage to institutionally protect their knowledge-capital via intellectual property rights as they enter the competitive global marketplace.

The results confirm that knowledge-focused YAGs apply for patents at an earlier stage than purely domestic and traditional exporting firms. However, in the long run, these firms are neither demonstrating increased knowledge capital by being more innovative nor producing more valuable innovations than their counterparts.

This study tests the intention–action relationship in the context of SMEs internationalization. It contributes to the internationalization literature by identifying the internationalization pattern of born globals (YAGs) from emerging markets and providing an explanation for what happens to these firms as they mature.

Using a substantial sample of U.S.-listed firms’ Seasoned Equity Offerings (SEOs) spanning the period from 2012 to 2017, we examine the relationship between hierarchical complexity and the selection of SEO methods.

We employ multinomial logistic regression to examine the influence of hierarchical complexity on the choice among various SEO techniques. To strengthen the robustness of our results, we employ a two-stage-least-squares (2SLS) analysis and utilize propensity score matching to address potential endogeneity issues and mitigate self-selection bias, respectively.

The research indicates that companies characterized by high levels of hierarchical complexity tend to steer clear of accelerated offerings but exhibit a preference for rights offerings over firm commitment offerings. This tendency is plausibly attributed to the impact of hierarchical complexity, which diminishes information transparency and heightens information asymmetry. Furthermore, the study highlights a negative association between hierarchical complexity and firm value following SEOs.

While an expanding body of evidence establishes a connection between hierarchical complexity and various firm- or market-specific activities, to the best of our knowledge, there are no specific empirical studies that have investigated how hierarchical complexity impacts equity offering strategies. Building on the established correlation in previous research between hierarchical complexity, information transparency, and asymmetric information, and recognizing the critical role of information in the selection of SEO methods, our study reveals that hierarchical complexity may diminish information transparency, heighten information asymmetry, and hinder outside investors from fully grasping a firm’s actions and outcomes. Consequently, this influence extends to the methods of offerings chosen by listed companies.

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 purpose of this paper is to empirically investigate the role of the placement (i.e. location) of humanoid service robots (HSRs) for entertainment applications in retailing by inspecting a multitude of performance metrics along the point-of-sale conversion funnel.

The study was conducted using unobtrusive observations at a Belgian chocolate store. In total, 42 h of video observation material was collected and analyzed, with an even spread over three conditions: (1) an HSR placed outside, (2) an HSR inside the store and (3) a control condition (no robot stimuli). All passersby and their interactions with the robot and the store were systematically coded and compared.

The study found that the better placement of HSRs (inside or outside the store) is contingent on the goals the retailer prioritizes. When the goal is to create awareness and interest toward the store, the HSR should be placed outside, as it has double the stopping power. To induce consumers to enter the store, placement of the HSR inside the store is the better option. Ultimately, however, in terms of the number of transactions and total amount spent, outside placement of the HSR outperforms inside placement.

This study was not able to verify the internal emotional/cognitive state of the passersby, as the method relied on unobtrusive camera observations. A longitudinal research design would be desirable to exclude potential bias due to the novelty effect.

While research on robots in retail services is emerging, this study is the first to provide insights on how retailers can decide on the placement of robots inside or outside the store, depending on the particular goals they are aiming to reach at the point of purchase.

Drawing on the conservation of resources theory, this study aims to apply a mixed-method to enrich the literature by investigating interrelationships among training, environmental triggers (environmental knowledge, awareness and concern) and employees' intention to carry out environmental activities.

This research applied a mixed-method carried out in Vietnam. By using the time-lagged data, Study 1 (quantitative research) was employed to test hypotheses. With Study 2 (qualitative research), four in-depth interviews were conducted to gain insight into a few unexpected findings from Study 1.

Study 1 indicates that environmental training is critical to directly boost not only the three environmental triggers but also employees' intention to engage in environmental activities. The findings further point out that environmental concern and awareness mediate the relationship between environmental training and employees' intention to engage in environmental activities. Unexpectedly, connections from environmental concern and awareness to employees' intentions were not moderated by environmental knowledge. The findings of Study 2 shed light on the role of environmental knowledge.

Based on the conservation of resources and social exchange theories, the research contributes to the existing literature by providing a better understanding of how environmental training stimulates employees' intention to implement environmental activities. The findings may be helpful for managers to encourage employees to contribute to organizations' green objectives.

The authors investigate the impact of standards compliance on the participation in the global value chain and labour value-added of Vietnam’s small and medium-sized enterprises (SMEs).

The authors use a three-period panel dataset of SMEs combined with Vietnam’s Provincial Competitiveness Index. The authors also use multiple econometric models; and with each model, the authors include all independent variables that are available from the study's data and that are suggested by the literature.

The authors find that standards compliance by Vietnam’s SMEs improved their participation in the global value chain via subcontracts with FDI multinational firms. The authors also find that standards compliance improved the value-added of labour in Vietnam’s SMEs, which is robust to the choice of econometric models.

The study's results suggest that better outcomes for firms and society will be possible if standards are recognised and respected.

This paper complements scant literature on the impact of standards compliance on global value chain participation via subcontracting work and labour value-added, especially in developing countries.

This paper examines how a firm's hierarchical complexity, which is determined by the way it organizes its subsidiaries across the hierarchical levels, can impact its stock price crash risk.

The authors employ a measure of hierarchical complexity that captures the depth and breadth of how subsidiaries are organized within a firm. This measure is calculated using information about firms' subsidiaries extracted from the Bureau van Dijk (BvD) database that allows the authors to construct each firm's hierarchical structure. The data sample includes 2,461 USA firms for the period from 2012 to 2017 (11,006 firm-year observations). Univariate tests and panel regression are used for the main analysis. Two-stage-least-squares (2SLS) instrumental variable regression and various other tests are employed for robustness check.

The results show a positive relationship between hierarchical complexity and stock price crash risk. This relationship is amplified in firms with a greater number of subsidiaries that are hierarchically distanced from the parent company as well as in firms with a greater number of foreign subsidiaries in countries with weaker rule of law.

This paper is the first to investigate the impact hierarchical complexity has on crash risk. The results highlight the role that a firm's organizational structure can have on asset pricing behavior.

This study aims to quantify the influence of urbanization on housing prices at the district-based level, while also investigating the heterogeneous impacts across different quantiles of housing prices.

The study uses remote-sensed spectral images from the Landsat 7 ETM+ satellite to measure urbanization, replacing prior reliance solely on urban population metrics. Subsequently, the two-step system generalized method of moments is used to evaluate how urbanization influences district-based housing prices through three spectrometries: Urban Index (UI), Normalized Difference Built-up Index (NDBI) and Built-Up Index (BUI). Finally, this study examines the heterogeneous impacts across various housing price quantiles through Dynamic Panel Quantile Regression with non-additive fixed effects under Markov Chain Monte Carlo simulation.

The study demonstrates that urbanization leads to an increase in regional housing prices. However, these impact magnitudes vary across housing price quantiles. Specifically, the impact exhibits an inverse V-shaped curve, with urbanization exerting a more pronounced influence on the 60th percentile of housing prices, while its effect on the 10th and 90th percentiles is comparatively weaker.

This study uses a novel method of remote sensing to measure urbanization and investigates its effects on housing prices. Furthermore, it provides an empirical application of non-additive fixed effect quantile regression for analyzing heterogeneity.