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This research aims to investigate how emerging destinations cope with digitalization of information, where they are in the process and how digitalization of information takes place in destination marketing organizations (DMOs). As a case for emerging destinations that must deal with the negative consequences of the digital divide, the Vietnamese Mekong Delta (VMD) will be examined. A new framework, solutions in general, and potential innovative approaches will be presented.

A mixed methods approach was used. Firstly, a content analysis comprising 68 criteria to examine 10 destination websites was conducted to evaluate the performance of provincial destination websites of VMD. Secondly, the authors interviewed five managers from VMD DMOs to reveal the strategy, status quo and their challenges with digitalization.

Some digitalization is evident in VMD DMOs, with the digitization of tourist information provision developing from analog formats to digital modes. The content analysis of the websites shows that provincial destination websites of VMD perform well with regard to communication but need improvements for transaction, and especially relationship aspects. Emerging destinations like VMD DMOs are reaching the second or third level in the digitalization process. Yet they face challenges with human and financial resources.

This research provides recommendations concerning destination website performance, the process of digitalization and how to promote digitalization and apply more digital instruments to move to the next stages of destination digitalization. Also, suggestions on how to overcome existing challenges/barriers in similar areas of the world are provided.

A new, extended more granulated version of the digitalization framework by Karpova et al. (2019) has been developed. The new model acknowledges the continued importance of printed information, provides information about the sequence of steps how to implement website dimensions, and which instruments are realistic to implement in different levels of digitalization considering the challenges and barriers developing destinations face.

The consolidation behavior of prefabricated vertical drain (PVD)-installed soft deposits mainly depends on the PVD performance. The purpose of this study is to propose a numerical solution for the consolidation of PVD-installed soft soil using the large-strain theory, in which the reduction of discharge capacity of PVD according to depth and time is simultaneously considered.

The proposed solution also takes into account the general constitute relationship of soft soil. Subsequently, the proposed solution is applied to analyze and compare with the monitoring data of two cases, one is the experimental test and another is the test embankment in Saga airport.

The results show that the reduction of PVD discharge capacity according to depth and time increased the duration required to achieve a certain degree of consolidation. The consolidation rate is more sensitive to the reduction of PVD discharge capacity according to time than that according to the depth. The effects of the reduction of PVD discharge capacity according to depth are more evident when PVD discharge capacity decreases. The predicted results using the proposed numerical solution were validated well with the monitoring data for both cases in verification.

In this study, the variation of PVD discharge capacity is only considered in one-dimensional consolidation. However, it is challenging to implement a general expression for discharge capacity variation according to time in the two-dimensional numerical solution (two-dimensional plane strain model). This is the motivation for further study.

A geotechnical engineer could use the proposed numerical solution to predict the consolidation behavior of the drainage-improved soft deposit considering the PVD discharge capacity variation.

The large-strain consolidation of PVD-installed soft deposits could be predicted well by using the proposed numerical solution considering the PVD discharge capacity variations according to depth and time.

Nowadays, under climate change contexts, natural disasters are becoming stronger in intensity and probability. The impacts of natural disasters on people and the environment are also getting worse. The purpose of this study was conducted to provide a method of assessing disaster risks, in particular, floods for human life in Mid Central Vietnam.

The pre-disaster assessment method was used based on the analysis of hazard factors (Hazard-H), exposure to hazards (Exposure-E) and vulnerability (Vulnerability-V).

Flood disaster risks in the area are assessed and displayed on spatial maps. The districts in coastal plains of Quang Ngai and Thua Thien Hue provinces have the highest levels of risk. These assessments will play an important role in supporting flood prevention and mitigation in the region.

According to the authors, this is the first study assessing the flood risk in Vietnam on the pre-disaster perspective. The assessment provides a plain point of view on natural disaster impacts that supporting disaster prevention services.

This study aims to study the impact of earnings quality on firms’ financial performance.

An unbalanced panel data of 237 small- and medium-sized Portuguese companies from the mold industry, using 2010–2018 yearly data was analyzed. While most studies focus only on earnings management when assessing earnings quality, in this study six proxies for earnings quality are used, namely, accruals quality (a proxy for earnings management), earnings persistence, earnings predictability, earnings smoothness, earnings timeliness and earnings conservatism. Moreover, two proxies of financial performance are considered, the return on assets and the economic value added. An econometric model was estimated using either a fixed-effects or a random-effects specification to account for the individual firm-specific effects and ensure heteroscedasticity corrected estimates.

The results show that managers must be concerned with the quality of reported earnings, as it can affect positively firms’ financial performance, especially regarding accruals quality. Persistence, predictability, smoothness, timeliness and conservatism are shown not to exert significant influence on financial performance in the sample.

This work contributes not only as a literature review on these thematic but also to firms’ managers and stakeholders, who have information that helps them select strategies that guarantee earnings quality and improve firms’ financial performance.

This study proposed an econometric model that studies the relationship between earnings quality (using several proxies for it) and financial performance that can be applied to all companies.

Based on the model of Big-Five personality traits and theories of person–environment interaction, this study aims to investigate the moderating effects of personality traits on innovativeness through knowledge sharing (KS).

A sample of 318 Vietnamese employees was collected. The hypothesized model was tested by using partial least squares structural equation modelling.

The results indicate that extraversion, agreeableness, conscientiousness and openness to experience have relationships with innovativeness through the mediating effect of KS. Furthermore, transformational leadership (TL) mitigates the positive relationship between agreeableness and openness to experience and innovativeness.

Based on the research results, the authors suggest several practical implications for enhancing employees' innovative organizational behaviours. Transformational leaders should be aware of and control the relationships with employees high in agreeableness and open to experience to ensure that employees' innovativeness can be freely developed.

This research systematically investigates the effect of each personality on employees' innovativeness. Furthermore, this study contributes to the leadership literature by suggesting the dark side of TL that can negatively influence the innovative ability of employees with certain personality traits.

This study aims to investigate the determinants of public trust in e-government services (Te-GS) and participation in social media.

A quantitative cross-sectional field survey was used to collect primary data at the local government level in 11 cities, towns and districts in Tien Giang Province, Vietnam. The final data set of 529 respondents was analysed using SmartPLS4 to evaluate the measurement and structural models.

Perceived responsiveness, transparency and security have strong positive associations with Te-GS, whereas perceived accountability does not. Furthermore, perceived ease of use and perceived usefulness are positively associated with social media participation.

Although previous studies have examined citizen behaviour in the use of e-government services, the social media context has rarely been considered due to its novelty. This study adds to the knowledge of the antecedents of participation in e-government services in developing countries such as Vietnam. Furthermore, it provides a comprehensive framework for understanding participation intention that considers four elements of good governance theory and two elements of the technology acceptance model (TAM), thereby extending previous research on the effects of these variables on the adoption of e-government services.

Financial systemic risk is often assessed by the interconnectedness of financial institutes (FI) in terms of cross-ownership, overlapping investment portfolios, interbank credit exposures, etc. Less is known about the interconnectedness between FIs through the lens of consumer credits. Using detailed consumer credit data in Canada, this chapter constructs a novel banking network to measure FIs’ interconnectedness in the consumer credit markets. Results show that FIs on average are more connected to each other over the sample period, with the interconnectedness measure increases by 19% from 2013 Q4 to 2019 Q4. FIs with more diversified portfolios are more connected in the network. Among various types of FIs, secondary FIs have the notable increase in interconnectedness. Domestic Systemically Important Banks and secondary FIs offering a broad range of loan products are more connected to large FIs, while those specialized in single loan types are more connected to their industry peers. FI connectedness is also significantly related to their participation in the mortgage markets.

Task complexity is one of the significant factors that influences and is used for forecasting employee performance and determining labor cost. However, the complexity level of tasks is unstructured, dynamic and complicated to perform. This paper develops a new method for evaluating the complexity level of tasks in the production process to support production managers to control their manufacturing systems in terms of flexibility, reliability to production planning and labor cost.

The complexity level of tasks will be analyzed based on the structuralist concept. Using the structure of task, the factors that significantly affect the task complexity in an assembly line will be defined, and the complexity level of the task will be evaluated by measuring the number of task components. Using the proportional 2-tuples linguistic values, the difference between the complexity levels of tasks can be compared and described clearly.

Based on the structure of the task, three contributory factors including input factors, process-operation factors and output factors that significantly affect the task complexity in an assembly line are identified in the present study. The complexity level of the task is quantified through analyzing the details of the three factors according to two criteria and six sub-criteria within the textile case study.

The proposed approach provides a new insight about the factors that have an effect on the complexity of tasks in production and remedies some of limitations of previous methods. The combination of experts' experience and scientific knowledge will improve the accuracy in determining the complexity level of tasks.

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.