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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.

From the customer-relationship theory and attachment theory approaches, this study proposes a serial mediation model to examine how celebrity attachment influences event attendees' intentions in the celebrity endorsement process in the context of events.

Paper-based and online surveys were used to collect data from 759 Vietnamese respondents, aged 15 and above, who followed domestic or international celebrities and were interested in various events taking place in Vietnam. A serial multiple mediation model was evaluated through covariance-based structural equation modeling.

The results confirmed the cognitive, affective and hybrid cognitive-affective pathways among antecedents, celebrity attachment and event participation intentions.

Future studies need to validate these findings across diverse cultural settings and larger participant pools to enhance their applicability. Exploring celebrity endorsement for events from an international follower perspective could offer valuable insights. Future research should consider these factors when interpreting results. It may benefit from conducting longitudinal or mixed-method studies to improve generalizability. Additional moderating variables are necessary, as research on the celebrity endorsement process for events evolves.

This study contributes to the literature on celebrity endorsement within event marketing, emphasizing the customer-brand relationship and attachment theory. It extends existing research that primarily examines how celebrity attachment influences event attendees' intentions in the celebrity endorsement process by validating a serial mediation model.

Source factors have long been a key construct in studies of word-of-mouth influence, but particularly for the digital context of electronic word-of-mouth (eWOM), source trustworthiness and parasocial relationships are worth a considerable focus. This study pays close attention to not only the effects source trustworthiness and parasocial relationships exert on eWOM influence but also the antecedents driving them. This study additionally considers the moderating role of brand credibility in the relationships between the two key constructs and eWOM influence. Confirmatory factor analysis (CFA) was conducted to assess the reliability and validity of the constructs.

A quantitative survey was sent to university students in Ho Chi Minh City, Vietnam, to collect 766 responses, which were then analyzed using an SEM approach. The sampling strategy was based on convenience and snowball sampling techniques to ensure a diverse representation of the student population. Respondents were asked to rate their perceptions of source trustworthiness, parasocial relationships, brand credibility, and eWOM influence regarding social media influencers they follow. The collected data were then analyzed using an SEM approach, utilizing software such as AMOS to validate the measurement model and test the proposed structural relationships.

The results confirm the strong impact of source trustworthiness and parasocial relationships on eWOM influence and recognize source authenticity to be the most powerful driver behind the two. Additionally, the findings suggest that brand credibility can positively moderate how source trustworthiness affects eWOM influence, with interaction effects examined through multi-group analysis.

Relevant implications for researchers and marketing practitioners are discussed, emphasizing the strategic selection of eWOM sources and the cultivation of brand credibility to enhance consumer engagement.

This study examines the impact of perceived value, materialism and tourist intention on willingness to pay a premium for ecotourism (WTPP).

Data were collected and conducted in Vietnamese National Parks. The dataset consists of 927 valid responses by domestic travelers. Structural equation modeling (SEM) was used to test the proposed relationships among perceived value, materialism, tourist intention and tourists' WTPP.

This study found a significant positive effect of perceived value on both tourist intention and their WTPP. The results also indicated that materialism is revealed to have a totally negative influence on WTPP for ecotourism; its indirect effect is transmitted through tourist intention. These findings highlight that tourists are mainly attracted when they received unique information about eco-destination. Therefore, they tend to participate in ecotourism and decide to pay for ecotourism.

First, the study findings contribute strategies for tourism providers in their marketing activities by segmenting the target market which can be based on tourists with materialistic and nonmaterialistic. Second, ecotourism marketers need to focus on increasing the unique image of ecological sites. These efforts will create a favorable action for tourists. Third, ecotourism providers might increase the prospective customer base among consumers who have materialistic behaviors. Furthermore, they can provide ecotourism promotion materials for targeting customers. Finally, government needs to consider strategies designed to enhance the eco-destination places and environmental intention.

First, the study has not compared the efficacy of two different measures which are affective and cognitive items in perceived value construct. Second, this research does not discuss about the interrelationships among other factors influencing tourists' WTPP. Third, the customers' demographic characteristics in this study did not explore because the difference on gender may be perceived differently in analyzing advertising. Fourth, this study was conducted in Vietnam, not in different countries and other different cultures.

This study investigates the impact of perceived value and materialism on ecotourism intention and tourists' WTPP for ecotourism. This study reveals the understanding of how individuals' concern about the value of ecological sites and influences their intention to actual behavior in engaging ecotourism. Significant practical implications are also provided for ecotourism providers, marketers and government. In general, government needs to consider strategies designed to enhance the eco-destination places and environmental intention. Ecotourism marketers need to focus on increasing the unique image of ecological sites. These efforts will create a favorable action for tourists. Otherwise, ecotourism providers might increase the prospective customer base among consumers who have materialistic behaviors. Furthermore, they can provide ecotourism promotion materials for targeting customers.

COVID-19 has made businesses increasingly dependent on technology to be competitive and efficient. Small and medium enterprises (SME) digitalisation and innovation research are widespread. SME digital transformation and innovation require government policies, initiatives and assistance. How the government can help SMEs achieve these goals is unclear. So, this paper aims to investigate how government policy may assist Vietnamese SMEs to boost innovation performance and digital transformation.

The study will take a quantitative approach, with questionnaires distributed to 659 respondents from SMEs in Vietnam through snowball and convenience sampling procedures. The structural equational modelling method is used for data analysis.

The study indicated that government policies supported Vietnamese SMEs’ innovation and information technology (IT) capabilities. Government policy assistance also boosted IT capabilities and innovation. Furthermore, mediation effects show that digital transformation fully mediates the relationship between innovativeness and firm performance, whereas IT capabilities partially mediate this relationship.

Further research that replicates the findings and analyses contextual heterogeneities between nations is advised because Vietnam’s pandemic setting was both similar and dissimilar.

The study demonstrated government-company interactions through supportive policy. It investigated whether SMEs seeking digital transformation and innovativeness might gain competitive benefits by implementing effective knowledge management and enhancing their IT capabilities.

A resource-based theoretical framework is extended to study how innovation, public policy and digital transformation for SMEs interact. The study confirms government policy strongly influences enterprises’ digital development. Specifically, the new mediating effects of IT capabilities and digital transformation are explored and provide new insights into the existing literature.

This study aims to deeply understand customer experiences toward Internet of Things (IoT) applications in retail by developing machine learning models for aspect-based sentiment analysis (SA). It includes creating a related terms dictionary and proposing implications for retail businesses in Vietnam based on these analyses. The ultimate goal is to gain insights into customer opinions and assist administrators in formulating effective digital transformation and business strategies within the Vietnamese market.

Initially, this research uses qualitative methods to identify different aspects of customer experience at stores equipped with IoT applications. Then, quantitative methods were applied through classification machine learning models which were trained on the annotated data set to classify comments into aspects and sentiments. Finally, the classification results were analyzed and visualized to draw implications about customer opinions of these stores.

This study collected 77,042 customers’ comment from potential and actual customers who have ever shopped at retail stores with IoT applications deployed worldwide, identified ten new aspects of customer experience in this field and built a dictionary of related terms. Furthermore, this study contributed two efficient ensemble models with an accuracy of 81% and 89% for analyzing aspects and customer sentiments, respectively. This study also proposes implications for managers regarding the use of IoT technology in retail stores to improve shopping experiences for customers.

This study’s findings help managers develop appropriate digital transformation and business strategies for integrating IoT technology into retail stores, especially for retail businesses in the Vietnamese market based on the analysis results and proposed model.

From a consumer–brand relationship (CBR) perspective, this study proposes a serial multiple mediation model to explore the pathways (e.g. cognitive, affective and hybrid) to increase online celebrity brand equity (OCBE) and follower's hotel booking intentions (FBI).

Paper-based and online surveys were used to collect data from 443 respondents who had been using TikTok and had followed at least one online celebrity on TikTok, while that online celebrity had reviewed one or more types of accommodation. A serial multiple mediation model was evaluated through covariance-based structural equation modeling.

The results confirmed the hybrid cognitive–affective and cognitive–affective–conative pathways among antecedents and components of OCBE and FBI.

From a CBR perspective, this study provides a serial multiple mediation model to increase OCBE via hybrid cognitive–affective pathways and to drive FBI via cognitive–affective–conative pathways. These sequential relationships contribute to the human branding literature by defining a mechanism of how online celebrities can efficiently attract followers, thus driving online celebrity brand loyalty and hotel booking intentions.

The results should be validated in other cultural contexts to generalize findings and broaden the range of target respondents to include international followers and those within other nations.