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We investigated the association of COVID-19 indicators and economic uncertainty indices on payment-based system cryptocurrency (i.e. Bitcoin, Ripple and Dogecoin) returns.

We used an autoregressive distributed lag (ARDL) model for panel data and performed robustness checks by utilizing a random effect model (REM) and generalized method of moments (GMM). There are 25 most adopted cryptocurrency’s countries and the data spans from 22 March 2021 to 6 May 2022.

This research discovered four findings: (1) the index of COVID-19 vaccine confidence (VCI) recovers the economic and Bitcoin has become more attractive, causing investors to shift their investment from Dogecoin to Bitcoin. However, the VCI was revealed to be insignificant to Ripple; (2) during uncertain times, Bitcoin could perform as a diversifier, while Ripple could behave as a diversifier, safe haven or hedge. Meanwhile, the movement of Dogecoin prices tended to be influenced by public figures’ actions; (3) public opinion on Twitter and government policy changes regarding COVID-19 and economy had a crucial role in investment decision making; and (4) the COVID-19 variants revealed insignificant results to payment-based system cryptocurrency returns.

This study contributed to verifying the vaccine confidence index effect on payment-based system cryptocurrency returns. Also, we further investigated the uncertainty indicators impacting on cryptocurrency returns during the COVID-19 pandemic. Lastly, we utilized the COVID-19 variants as a cryptocurrency returns’ new determinant.

This study employed the viewer factors of live streamers on Instagram to influence the attachment and flow and then to investigate the impact of live streamer viewers’ relatedness needs satisfaction and entertainment needs satisfaction.

This study emphasized target audiences who followed live streamers on Instagram. We employed quota sampling to dispatch questionnaires on social media platforms. Therefore, 600 valid samples were collected in Taiwan and analyzed using structural equation modeling.

Empirical results show that the major route was from cognitive curiosity positively influencing attachment, then primarily positively affecting followers’ relatedness needs satisfaction. The empirical results also indicate that social media dependency positively influenced attachment, then contributing to viewers’ entertainment needs satisfaction.

Future research should explore various social media platforms (e.g. Line, Twitter, YouTube) to compare differences. Studies could also examine cross-national attitudes toward live-streaming and brands due to cultural or religious factors. With more funding, future research should increase sample sizes beyond 600 to reduce statistical bias. Additionally, incorporating homophily between viewers and live streamers into the viewer model on Instagram is recommended for further investigation.

This study is the novelty to enlarge the influences of emotional connection to two types of needs satisfaction when highlighting that perceived loneliness, cognitive curiosity and social media dependency positively affect needs satisfaction through attachment and flow in live streamer recommendations.

Challenges related to sustainability have increasingly become pivotal in the realm of business strategy and innovation. Nevertheless, the incorporation of sustainability principles into business strategies and innovative practices remains a subject of ongoing scholarly debate. This paper aims to undertake a thematic literature review on this theme.

Data were gathered from the Scopus, Web of Science and Science Direct databases. The final sample comprised 85 papers. For analytical purposes, this study adopted topic modeling using Latent Dirichlet Allocation (LDA) methodology.

The authors identified five dominant topics concerning the relationship between sustainability, innovation and business strategy. Through a cross-analysis of these topics, the authors theorize that a sustainable innovation strategy encompasses three complementary and interdependent dimensions: capabilities, management and firm. Building on this analysis, the authors outline a research agenda aimed at further exploration and advancement of this theme.

This review enhances the synthesis of research on the theme, prompting reflections on how companies can initiate innovative sustainable actions that align with their business strategy. Additionally, the authors identify specific elements that require improvement to enhance each of the three dimensions of sustainable innovation strategies, such as eco-efficiency, circular economy and the adoption of innovative business models oriented toward services/servitization.

By interweaving sustainability with innovation and business strategy, this study underscores the critical topics that companies and public policymakers should address to support sustainable development at the national level.

While previous literature reviews have focused on the dyadic relationships between sustainability and strategy, or sustainability and innovation, this study extends the boundaries of knowledge by integrating these three concepts into a hybrid theoretical stream.

“Social hesitancy” is a reluctance by people to purchase products, or engage in activities, that may benefit themselves and society. This paper aims to review and assess a visual marketing approach to this significant social marketing problem.

The authors use data visualization technology as an informational tool, visual sentiment analysis as a social text mining tool and Latent Dirichlet Allocation visual (LDAvis) modelling as a topic modelling tool to measure, assess and address social attitudes inherent in hesitancy. The paper’s hypothesis is that these technologies can help society understand the reasons for, and barriers to, hesitancy, and that visual marketing is an extremely effective approach to the hesitancy problem.

Using extensive vaccination data and results from the COVID-19 pandemic, the authors found that the visual marketing technologies were successful informational and motivational tools for social hesitancy.

Hesitancy is a social marketing concern that can have an impact on product or service promotional and motivational campaigns during a crisis. The LDA visual model, for example, can quantitatively extract and measure the social attitudes of people and identify and segment these people based on their feelings. These tools can be valuable to social marketers by helping to establish strategies for any product or service exhibiting hesitant consumer behaviour.

Using advanced visual technology, the paper contributes to social hesitancy by addressing the following question: does a visual marketing approach help social marketers understand the underlying reasons for, and help to mitigate, social hesitancy?

The purpose of this study was to examine the moderating role of institutional ownership on the relationship between board gender diversity and earnings management (EM) among listed firms in East African Community (EAC) partner states.

The study used a sample of 71 firms listed in the EAC partner states over 2011–2020. Data were handpicked from the individual firm's audited annual financial reports. Based on the results of the Hausman test, the study used the results of the fixed-effect regression model to test the hypotheses. To test the robustness of the results, the study employed an alternative measure of EM and two additional econometric techniques, including the pooled ordinary least squares (OLS) and the system generalized method of moments (GMM).

The empirical findings revealed that female directors improve the board's effectiveness in monitoring managerial roles. Specifically, the results showed a significantly negative relationship between the proportion of women in the corporate board and EM (as measured by discretionary accruals (DAs)). The findings further revealed an inverse relationship between the proportion of institutional ownership and EM. Finally, the results further demonstrated that institutional ownership enhances the role of board gender diversity in mitigating EM among listed firms in the EAC.

The findings of this study may be useful to managers, investors and regulators in assessing the role of institutional ownership and women's participation on corporate boards as a strategy for alleviating unethical manipulation of earnings.

The findings of this study contribute to the growing concern on gender inequality, especially the marginalization of women from the paid labor force and decision-making. The findings highlight the importance of having more women in the corporate board since this may help in mitigating corporate fraud. Similarly, the findings highlight the importance of institutional ownership as a corporate governance (CG) tool.

Previous studies have reported mixed empirical results on whether board gender diversity mitigates EM. To the best of the author's knowledge, this is the first paper to fill the existing gap by exploring whether institutional ownership moderates the relationship between board gender diversity and EM among listed firms in the EAC.

Thousands of people emigrate from their homeland and start new businesses in other countries. Researchers are increasingly interested in this phenomenon, commonly known as transnational diaspora entrepreneurship. Our paper aims to review this topic by identifying the gaps in existing research and emphasizing the need for further investigation into this growing phenomenon.

The study applies both a traditional approach and a more innovative approach using topic modeling in conducting the literature review. While the manual literature review inductively identifies important themes, through topic modeling, the prevailing topics in the research are uncovered.

The analysis reveals several main findings. Firstly, diaspora entrepreneurs are categorized based on identifiable differences in their entrepreneurial activities. Secondly, most literature in the area is based on case studies, and there is a need for more quantitative research into this area. Thirdly, although there is no widely agreed-upon definition of transnational diaspora entrepreneurship, some distinct characteristics set it apart from other entrepreneurial activities. Lastly, a few different approaches to transnational diaspora entrepreneurship have been identified and summarized based on the experiences, identities and locations of diaspora entrepreneurs.

This study contributes to the existing literature by employing natural language processing to analyze a corpus of paper abstracts, offering a comprehensive overview of the prevailing themes in the research on diaspora entrepreneurial activity. It also highlights the need for more quantitative research to understand the broader patterns and impacts of this phenomenon. This paper sheds light on the complexities and potential rewards of diaspora entrepreneurial activity, paving the way for further research and understanding in this field.

Wine is a complicated and difficult product to know, which makes it extremely difficult for people with little knowledge to choose the wine they want. This study aims to analyze whether the vocabulary used in reviews on wine written by experts and amateurs on the specialized website is useful for those consumers who wish to search for information on this website to choose a wine.

The analysis combines text mining, Natural Language Processing and the Biterm Topic model applied to 25,847 reviews, evaluating a total of 13,263 Spanish wines made by 17 selected users of a specialized wine website.

The results show that wine consumers and users of the specialized wine website who write reviews can be divided into expert users and amateur users. Both experts and amateurs use a specific vocabulary related to the wines they review. Unlike amateurs, experts have a broader and more precise vocabulary, and greater consistency in the use of words with the aspects of the wine. For the revised wines, they address fewer and more specific aspects of wine (such as vintages), but they do so with more depth and rigor.

The originality and value of this research work lie in addressing two aspects that have hardly been analyzed: the reviews of experienced consumers and amateur consumers, and the textual information referring to the Spanish language, which distinguishes this analysis from other similar analyses carried out on the English language.