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“The world needs science, science needs women” is the message given by UNESCO in the program for the development of women in science” (UNESCO, 2017). In Vietnam, women’s participation and achievements in scientific research is considered a great and important resource for industrialization and modernization. Even so, are there gender differences in scientific achievement in the social science research institutes in Vietnam? What factors influence the scientific achievement of female social researchers? The answers will be based on data from a 2017 survey with a sample of 756 researchers, of which 77.6% were female. The survey was conducted by the Vietnam Academy of Social Sciences, a leading, ministry-level national center for the social sciences in Vietnam. This chapter analyzed the scientific achievements of researchers through their position as principal investigators of research projects and their publications, and factors that may impact this. Bivariate and multivariate analyses of factors that may affect the scientific achievement of researchers found that gender differences in academic achievement in the social sciences in Vietnam was still prevalent. Female researchers’ scientific achievements were lower than those of their male counterparts. The contribution to science of Vietnamese female researchers was limited by many different factors; the most important were the academic rank of the researchers and gender stereotype that considered housework the responsibility of women.

Purpose: To explore emotional support, daily housework assistance, and economic support for older adults provided by the Vietnamese family within the context of the impacts of socio-economic, demographic, and other factors.

Methodology: (1) The researchers used data from censuses taken from 1989 to 2019; national surveys of Internal Migration, Labor and Employment and other topics; and recent large sample sociological surveys (2) adapted a modified Diamond Care Model (Ochiai, 2009) to analyze effects of the characteristics of older adults; and of the country’s laws, policies, and socio-economic changes, on the families’ caregiving activities supporting the older adults.

Findings: The family is still the most important institution providing care for older adults in Viet Nam. Most older people live with their children and see this as an age-old security solution despite differences related to lifestyles and interests. However, when the average number of working-age people per older person decreases, as older adults live longer, household sizes are smaller, and there is increased large migration, the demand for non-family caregiving for older adults will increase. Since social services to help meet this demand are limited, the traditional family support system for the elderly in Viet Nam will face many challenges as families try to assure the quality of care needed in the very near future.

Value: This chapter shows systematically a relationship between elderly care in the Vietnamese family and socio-economic, demographic, and associated factors based on comprehensive data sources. The results can help us think about how to create an appropriate future model for taking care of older adults in Viet Nam that combines the efforts of families and the support of comprehensive social policies by the community.

This chapter analyzes characteristics and changing patterns of marriage formation in Vietnam over the past 50 years, from various aspects including the motives underpinning marriage decision-making, the process of mate acquaintance, the criteria for mate selection, and marriage decision-making rights. The chapter is based on a review of data derived from the Vietnam Family Survey 2006 (MOCST et al., 2008) and the Vietnam Marriage Survey 2017 (Minh, 2021). It shows that the pattern of marriage formation in Vietnam has changed significantly in the past decades under the influence of various socio-economic and legal factors. Marriage is increasingly associated with the value of personal happiness. People today have many more opportunities to meet and get to know each other before marriage than older generations in the past. Adolescents spend more time getting to know their future spouse and have more options when choosing future partners before marriage. Marriage based on a partner’s individual qualities is preferred, gradually replacing mate selection based on family background. Parents’ power over their children’s marriage has decreased, while young people are becoming more and more independent in making decisions about their lives. In other words, today, it is the interests of the people involved in the marriage that matters, not only the interests of the family and kinship that determines marriages. However, despite these new marriage formation patterns, the belief that children’s marriage is an important affair for the whole family is still maintained. The general pattern is that there is a mix of personal factors and family circumstances regarding the marriage choices.

The essay is addressed to practitioners in research management and from academic leadership. It describes which measures can contribute to creating an inclusive climate for research teams and preventing and effectively dealing with discrimination. The practical recommendations consider the policy and organizational levels, as well as the individual perspective of research managers. Following a series of basic recommendations, six lessons learned are formulated, derived from the contributions to the edited collection on “Diversity and Discrimination in Research Organizations.”

This study aims to investigate the moderating role of sociodemographic factors, specifically age and education level, in the knowledge-attitude-behavior (KAB) model concerning information security awareness (ISA) amid growing technological threats.

This study uses a survey methodology, collecting data from 400 working individuals in Vietnam, to test the applicability of the KAB model and evaluate the moderating effects of age and education on the model’s established relationships. In addition, the theoretical model and hypotheses were evaluated using the partial least squares structural equation model (PLS-SEM) approach.

This research confirms the relationships posited in the KAB model. Notably, it shows that younger employees showcase a more positive attitude and behavior toward information security compared with their older counterparts. In addition, higher education levels strengthen the positive association between information security knowledge and attitude. The findings underscore the imperative for organizations to consider sociodemographic variables when formulating strategies to enhance ISA.

This study extends the KAB model by exploring the impact of sociodemographic factors, focusing on age and education in ISA. Overcoming the oversight in current literature, particularly in the context of technological threats, the research uses PLS-SEM and targets a specific demographic in Vietnam.

The purpose of this study is to investigate how negative emotions toward brands, especially brand hate, impact anti-brand consumption behavior, including brand avoidance and further brand switching, through the intervening mediators of negative word-of-mouth (nWOM) and protest behavior as well as within contingencies.

Existing scales are adapted, and the field study is conducted in Malang, Indonesia. Based on purposive sampling, 275 respondents in three different malls complete a questionnaire related to Sari Roti, a national brand suffering from a boycott. In all, 250 qualified questionnaires are eventually used for data analysis using partial least square.

This research supports the effect of brand hate on nWOM, which then influences protest behavior, subsequently driving consumers to avoid a particular brand and opt for an alternative. nWOM was also found to have a direct effect on brand avoidance. For moderating effects, brand social responsibility and social media usage were found to negatively and positively affect the brand hate–nWOM relationship, respectively.

The limited extant literature only addresses a simple direct–effect relationship between negative emotions and anti-brand consequences. Drawing on the positioning lens and the dis-identification view, this research provides deep insight through theorizing a sequential, four-stage framework regarding the effect of brand hate on brand avoidance and brand switching. This framework is also explored under contingencies, further advancing an understanding of this dynamic subject matter.

Digital transformation in supply chains (SCs) has emerged as one of the most effective ways to minimize SC disruption risks. Given the unprecedented impact of the COVID-19 pandemic on global SCs, this study aims to identify and provide empirical evidence about the drivers of digital SC transformation, considering the interactivity between environmental dynamism, technology, and organizational capabilities during the pandemic era.

Using partial least squares structural equation modeling (PLS-SEM), this study examines 923 firms in Vietnam to ascertain the drivers of digital SC transformation between small- and medium-sized enterprises (SMEs) and large enterprises, based on the technology–organization–environment (TOE) as an overarching framework.

This study finds that greater digital SC transformation adoption could be achieved under the interactivity between the TOE components of firms' technological competencies, learning capabilities, and disruptions in socioeconomic environments due to the COVID-19 pandemic. Moreover, a multigroup analysis shows that the drivers of digital SC transformation differ between SMEs and large enterprises. SMEs were found to be more motivated by the COVID-19 disruption risk when adopting digital SC models.

This study represents an original and novel contribution from Vietnam as an emerging market to the literature on the impact of COVID-19 on the global value chain. Apart from the unique dataset at the firm level, the analysis of interactions between external and internal drivers of digital SC transformation could provide crucial managerial implications for SMEs to survive major disruptions, such as those caused by the COVID-19 pandemic.