Search results

The purpose of this paper is to find out how absorptive capacity (AC), leadership capacity (LC) and government support (GS) affect small and medium enterprises (SMEs) innovation (product innovation [PDI], process innovation [PCI] and distribution channel innovation [DCI]), taking into consideration the role of innovation (PDI, PCI and DCI) on competitive advantage and SMEs performance and the moderating role of customer orientation (CO).

This study gives a theoretical model tested using structural equation modeling. The information used to test the hypotheses came from interviews with the top managers of Vietnam’s SMEs. The 633 survey respondents from the southern part of Vietnam were chosen for the study. The goal of the 47-item questionnaire is to look at how all variables relate to each other.

The results show that a firm’s LC has the most significant impact on innovation, followed by its AC and GS. According to the study, DCI does not lead to competitive advantage but improves SMEs’ performance. In addition, the study’s findings indicate that CO moderates the relationship between PDI – SMEs performance and DCI – SMEs performance.

The classification of only three types of innovation (PDI, PCI and DCI) restricted the applicability of the research to other kinds of innovation in SMEs. Second, only AC, LC and GS are identified in this study as external factors that influence business innovation. In this study, the authors have not studied different business industries; the authors recommend that the research in the back on SMEs should investigate their classification into distinct industry groups, including agricultural, forestry and marine products; industry and construction; and commerce and services.

This study shows the importance of innovation senior management for innovation in SMEs. This study found that innovation, especially continuous innovation, increased competitive advantage and SMEs performance. Companies that wish to innovate must have access to external resources and support. Moreover, enterprises must comprehend their consumers’ wants to achieve innovation and better SMEs’ performance.

This research significantly contributes to enterprise innovation and operational efficiency for the sustainable development of SMEs in Vietnam. It is expected to enhance employment opportunities, maintain social stability and expand Vietnam’s gross domestic product.

This study contributes to the growing knowledge of the indirect and direct effects, the mediating function of innovation (PDI, PCI and DCI) on competitive advantage and SMEs performance and the moderating effect of CO.

Cambodian and Laotian students (CLS) are among the largest groups of international students in intra-ASEAN student mobility as well as in Vietnamese higher education institutions (HEIs). However, little has been researched on the factors influencing CLS’s decision to choose Vietnam as destination country. The purpose of this study is to investigate why CLS decide to go overseas and choose Vietnam as their host country among other opportunities as well as their perceptions of the decision.

Using qualitative methods and employing purposive sampling, data were collected by semi-structured interviews from CLS studying in a HEI in the Mekong Delta of Vietnam. The data were analysed against the push–pull framework to understand factors influencing the participants’ decision.

The findings show that CLS in the study were “pushed” by the perceived higher value of a foreign qualification and family encouragements. In terms of pull factors, they were attracted to choose Vietnam as the host country most observably due to scholarship opportunities. However other pull factors were also significant, especially the lack of certain skills in home countries and its congruence with Vietnam’s competitive strength in offering courses for those skills. In retrospect, the participants expressed a sense of optimism, though there was also certain reservation.

The small sample restrict the generalisability of the findings.

As an exploratory study, the findings can lay the ground for largerscale studies investigating CLS mobility in Vietnam and be employed for inbound student mobility policymaking reference for HEIs in Vietnam as well as in other developing countries.

This study investigates why Cambodian and Laotian international students decide to go to Vietnam, a developing country in the lesser-known part of international student mobility landscape. This is a topic that remains under-researched in the Asia-bound student mobility literature. Insights from the study can not only contribute to the scholarly gap but also offer implications for HEIs in Vietnam and other Asian countries.

Data crawling in e-commerce for market research often come with the risk of poor authenticity due to modification attacks. The purpose of this paper is to propose a novel data authentication model for such systems.

The data modification problem requires careful examinations in which the data are re-collected to verify their reliability by overlapping the two datasets. This approach is to use different anomaly detection techniques to determine which data are potential for frauds and to be re-collected. The paper also proposes a data selection model using their weights of importance in addition to anomaly detection. The target is to significantly reduce the amount of data in need of verification, but still guarantee that they achieve their high authenticity. Empirical experiments are conducted with real-world datasets to evaluate the efficiency of the proposed scheme.

The authors examine several techniques for detecting anomalies in the data of users and products, which give the accuracy of 80 per cent approximately. The integration with the weight selection model is also proved to be able to detect more than 80 per cent of the existing fraudulent ones while being careful not to accidentally include ones which are not, especially when the proportion of frauds is high.

With the rapid development of e-commerce fields, fraud detection on their data, as well as in Web crawling systems is new and necessary for research. This paper contributes a novel approach in crawling systems data authentication problem which has not been studied much.

This paper aims to test a theory-driven model reflecting the effects of perceived personalization on consumer–brand relationships on social media.

The conceptual model is empirically tested through two studies using partial least squares-structural equation modeling. Other techniques, such as common method bias, multigroup comparison, mediation analysis and model fit comparison, are also used to give more insights into the analytical process.

Data from two studies show that perceived personalization is positively related to brand-related outcomes including brand self-expressiveness, consumer–brand engagement and brand connection. While consumer–brand engagement and brand connection are positively related to brand love, brand self-expressiveness is not.

The paper contributes to the advertising and brand management literature by shedding light on a better understanding of the impact of personalization in the digital world.

Management could learn important lessons from personalization. If a strategy of promoting personalized ads is implemented successfully, those ads could change customer perceptions of brands which ultimately strengthens brand love.

This research provides an empirical model that helps marketers better understand the factors affecting brand love with personalized ads on social media.

In the digital age, organizations want to build a more powerful machine learning model that can serve the increasing needs of people. However, enhancing privacy and data security is one of the challenges for machine learning models, especially in federated learning. Parties want to collaborate with each other to build a better model, but they do not want to reveal their own data. This study aims to introduce threats and defenses to privacy leaks in the collaborative learning model.

In the collaborative model, the attacker was the central server or a participant. In this study, the attacker is on the side of the participant, who is “honest but curious.” Attack experiments are on the participant’s side, who performs two tasks: one is to train the collaborative learning model; the second task is to build a generative adversarial networks (GANs) model, which will perform the attack to infer more information received from the central server. There are three typical types of attacks: white box, black box without auxiliary information and black box with auxiliary information. The experimental environment is set up by PyTorch on Google Colab platform running on graphics processing unit with labeled faces in the wild and Canadian Institute For Advanced Research-10 data sets.

The paper assumes that the privacy leakage attack resides on the participant’s side, and the information in the parameter server contains too much knowledge to train a collaborative machine learning model. This study compares the success level of inference attack from model parameters based on GAN models. There are three GAN models, which are used in this method: condition GAN, control GAN and Wasserstein generative adversarial networks (WGAN). Of these three models, the WGAN model has proven to obtain the highest stability.

The concern about privacy and security for machine learning models are more important, especially for collaborative learning. The paper has contributed experimentally to private attack on the participant side in the collaborative learning model.

This paper aims to provide a deep understanding of rural household livelihoods in the Mekong Delta and to explore how they can cope with climate stressors at the ground level.

The paper employs the sustainable livelihood framework at a household and also an individual scale. The general data obtained from a survey of 2,100 households provide an overview of their livelihoods. Qualitative and quantitative methods were adopted, as case studies, to comprehensively assess 100 households in one commune affected by annual floods and an additional 100 households in another commune affected by sea level rises. Livelihood profile analysis is beneficial to identify specific livelihood change patterns that have taken place in these specific cases.

There are four types of livelihood adaptation to climate stressors: (1) change of structure of agricultural systems, (2) change of employment locations, (3) resettlement with strong impact on livelihoods and (4) out-migration. The household livelihood resources and the local economic structures have significant roles in driving adaptive solutions.

This paper provides detailed profiles of the livelihood change considered as passive adaptation of smallholders in the Mekong Delta.

It contributes to the knowledge of rural households in multiple aspects with regard to how they cope with climate change via reflection on their livelihoods.

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.

The purpose of this study is to investigate the impact of government administrative capacity and e-government performance on the citizens’ intention to use e-government services by integrating into the technology acceptance model (TAM). In addition, the study investigates the mediating effect of perceived usefulness in these nexus.

A quantitative and cross-sectional approach is used to gather the data from 443 respondents in Vietnam. The squares structural equation modeling is used to access the impact of government administrative capacity and e-government performance on the citizens’ intention to use e-government, the mediating effect of perceived usefulness.

The results show that e-government performance, government administrative capacity and perceived usefulness are critical determinants of citizens’ intention. Furthermore, government administrative capacity positively impacts e-government performance. More importantly, perceived usefulness plays a mediating role in these relationships. The results also show that both age and qualification moderate the relationship between perceived usefulness and intention.

The findings of this study provide valuable evidence and implications. Public officials must enhance the administrative capacity as the determination for the application of e-government. They must demonstrate their commitment to implementing e-government initiatives. Moreover, the government should continually carry out policies to improve e-government performance.

This study uses the TAM by incorporating government administrative capacity and e-government performance. Evidence about the mechanism linking government administrative capacity and e-government performance to citizens' intention to use e-government is scant. With this stated, this study fills these gaps by pioneering exploring the mediating role of perceived usefulness in these relationships.

The effects of government expenditure on the shadow economy have been investigated. However, the effect from a moderating factor that affects this relationship has been largely ignored in the existing literature. This paper investigates how fiscal deficit moderates the effects of government expenditure on the shadow economy for 32 Asian countries for the past two decades since 2000.

The authors use various techniques, which allow cross-sectional dependence and slope homogeneity in panel data analysis, to examine this relationship in both the long run and short run. The analysis also considers the marginal effects of government expenditure on the shadow economy at different degrees of fiscal deficits.

Empirical findings from this paper indicate that an increase in government expenditure and fiscal deficit will increase the shadow economy size. Interestingly, the effects of government expenditure on the shadow economy will intensify with a greater degree of the budget deficit. The authors also find that enhancing economic growth to improve income per capita and extending international trade appears to reduce the shadow economy in the Asian countries.

The authors consider that policies targeting reducing shadow economy should follow conventional economic policies on economic growth, unemployment and inflation.

To the best of the authors’ knowledge, this is the first empirical study conducted to examine the moderating role of fiscal deficit in the government expenditure–shadow economy nexus in Asian countries.

The purpose of this paper is to examine the mediating effect of cyber-victimization (CV) and the moderating effect of academic stress (AS) in the link between smartphone addiction (SPA) and psychological distress (PD) among a sample of Vietnamese college students.

A total of 423 college students participated in this study. Measures of SPA, CV, AS and PD were used for data collection. Using PROCESS macro software (Model 4 and Model 1) and the bootstrapping method, the author performed a mediation analysis and a moderation analysis.

Results indicated a significant mediating effect of CV in the link between SPA and PD. Moreover, this relationship was moderated by AS.

The findings could serve as a guide for future research and mental health professionals.