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Social networking sites (SNSs) provide a platform for disseminating different types of information, including stock market information. Many studies in the literature discuss the influence of social media on the stock market. However, little effort has been made in the past to present a literature review. This exploratory study aims to review the literature on social media and the stock market published from 2004 to 2018 and present insights and directions for future research. The study collects data from Scopus and ISI Web of Science databases and subjectively selects 126 papers, and conducts metadata analysis. In addition, the selected papers were analyzed to present the insights and classifications of the literature based on content analysis. This review classified the selected papers into different domains: reaction (e.g., investor behavior, market behavior, corporate governance and financial performance), data analysis techniques (mathematical, econometric models, data and text mining), and application of pre-established models. It identifies influential authors, top journals, top contributing nations, top contributing institutions, top citations, most used words, top publishers and contributions by fields. It develops a framework showing how the information of SNSs is disseminated, processed and responded to. It also finds that most of the paper outcomes support online social media as important information dissemination platforms for investment decisions in the stock market. The study will offer a novel opportunity for future assessment and contribution to the behavioral finance literature. [ABSTRACT FROM AUTHOR]

The COVID-19 epidemic has hastened the growth of Virtual Communities and is affecting virtually every part of work in the public and business sectors. Virtual communities, popular forums for communication and entertainment, increasingly affected the users' decisions. Though many technology adoption models/theories are available, a distinctive model for decision-making in a virtual environment is scarce. This research developed the virtual communities' decision model and empirically tested its performance. This study examined 16 well-established theories/models of information technology, social science, marketing, and behavioral finance and extracted nine constructs from 58 identified constructs considering theoretical cohesiveness along with the three-stage method proposed by Moore and Benbasat. A unified model for virtual communities' decisions (VCDM) is developed and validated using the data collected from individual capital market investors in Bangladesh. The structural equation modeling technique is used to analyze the data. The upshot implies that VCDM performs adequately and explains the maximum variances in intention to decision and investment. VCDM also outperforms the majority of the related theoretical models. The acceptance levels of fit indices and all significant relationships among different constructs are also empirically validated. The moderating effect of the virtual group use experience is also confirmed. Future research can use VCDM in marketing, behavioral finance, ecommerce, information systems and social science context. VCDM thus facilitates a beneficial tool for managers, service providers, and other users to assess the likelihood of effectiveness for decisions in a virtual environment. [ABSTRACT FROM AUTHOR]

Online social networks (OSNs) are a terrifically emerging platform for information dissemination around the world. Like other settings, acceptance and adoption of OSNs among the individual capital market investors are extensive. The study developed a conceptual model for behavioural finance integrating a technology acceptance model (TAM) and valence framework from the information systems and marketing disciplines, respectively. The integrated model added some persuasive constructs from social capital and diffusion innovation theory with a view to explore the key factors swaying investors' intention to adopt and use the OSN's services. By using an online and offline structured questionnaire, 510 data were collected from individual capital market investors in Bangladesh. Structural Equation Modelling (SEM) was used for data analysis. The study determined that the proposed integrated model with additional constructs outperformed other models. Perceived usefulness (PU), perceived enjoyment (PE), trust and personal innovativeness in IT (PIIT) had a substantial sway on the investor's intention to use OSNs. Hedonic value is more robust predictor of intention to use OSNs than utilitarian value. Intention to use properly mediated the relationships and had strong significant impact on investor's investment decision. But perceived ease of use (PEOU) and perceived risk had no direct significant effect on intention to use. PEOU had significant impact on intention to use through PU and PE. Gender moderated the relationships of different constructs with the intention to use OSNs for investment decisions in the capital market. It contributes knowledge by including the integration of different models in stock market perspectives and the inclusion of technological aspect in the behavioural finance literature. The findings of the study will also succor different firms and regulatory authorities to adopt OSNs as an information dissemination platform. [ABSTRACT FROM AUTHOR]

The main aim of this study is to identify the role of information dissemination on urban and rural citizens of Bangladesh during the COVID-19 pandemic and the role of misinformation in this process. The study also aimed at finding appropriate counter misinformation strategies regarding COVID-19. An online questionnaire was prepared to collect the viewpoints of the urban and rural citizens of Bangladesh regarding dissemination of information during COVID-19, misinformation regarding COVID-19, and counter misinformation strategies. Along with demographic and general information, a five-point Likert scale was used to measure COVID-19 related misinformation beliefs and how to counter them. Chi square tests were used to determine the association between current residency, information sources, the importance of information dissemination, reactions after getting COVID related information, and evaluative steps after getting information and before disseminating it. Additionally, nonparametric Mann–Whitney U and Kruskal–Wallis tests were conducted to know the significance of difference in respondents’ assessment on COVID-19 related misinformation in terms of their demographic characteristics. Cronbach’s alpha score was obtained to see the reliability of the questionnaire items. The current study reveals that both urban and rural citizens of Bangladesh are influenced by information dissemination regarding COVID-19 and they have lower level of misinformation belief. The respondents have differences in misinformation belief by different demographic groups. Respondents’ educational status, information literacy, sources of getting information, and evaluative steps after getting information have significant differences in misinformation belief. The study also noticed the support of respondents for countering misinformation strategies regarding COVID-19. [ABSTRACT FROM AUTHOR]

The COVID-19 epidemic has broken the original business network structure and globally affected the tourism supply chains. Online social networks (OSNs) have become a necessary component of ICT-enabled services, affecting every area of human existence. The espousal of OSNs into tourism supply chain networks during a pandemic is crucial. However, scarce studies have been conducted on the espousal of OSNs in tourism supply chain networks. The study developed a research model based on the IS success model, uses and gratifications (U&G) theory, institutional theory, and transaction cost theory to analyze the espousal of OSNs in the tourism supply chain network (TSCN) during COVID-19. The study employed structural equation modeling (SEM) to examine 99 data acquired via online surveys from supply chain specialists in the travel and hospitality sectors. The research model outperforms better and fulfills all model fitness requirements. The research found that tourism supply chain experts adopt online social networks to address supply and demand disruptions caused by COVID-19. Utilitarian features (e.g., supply chain perceptibility), technological features (e.g., system quality), and cost -benefit aspects substantially influence the espousal of OSNs in the tourism supply chain network. Espousals of OSNs improve tourism supply chain performance during Covid-19. As a result of this research, tourism supply chain management, MIS, and social media literature will be enriched by introducing OSNs in the tourism supply chain environment. The research will also provide adequate implications to supply chain managers and OSNs service provider to adopt OSNs in the tourism supply chain during COVID-19. [ABSTRACT FROM AUTHOR]

Tourism contributes to economic growth and financial development in many countries around the world. The aim of the study is to examine the cause and effect relationship between economic growth, financial development and budgetary allocation to the Bangladesh tourism industry during 2000-2019. Several methods such as Augmented Dickey-Fuller (ADF), Phillips-Perron (PP), Johansen-Juselius Cointegration, and Granger Causality tests have been applied to measure the associations between the variables. The results show that there is a cause and effect relationship between the budgetary allocations and economic growth and budgetary allocation also causes of financial development. [ABSTRACT FROM AUTHOR]

More recently social networking sites (SNSs) users are extensively using the emerging geotagging technology for tourism motivation. The study aims to examine the relationship between determinants of geotagging technology and intention to adopt geotag technology as well as the extent to which technology readiness moderates the link between determinants of geotagging technology and intention to adopt geotag technology. Data were collected from a sample of 356 university students by using convenience sampling technique. Partial least square structural equation modelling has been used to measure the results. The empirical outcome uncovers that social influence, performance expectancy and facilitating condition are the factor that have direct impact on SNSs user's willingness to adopt geotag for smart tourism experience. The present paper enriches UTAUT model by understanding the association between two variables namely effort expectancy and performance expectancy as well as the moderating role of the technology readiness. The findings of the study will assist to SNSs service providers by understanding the moderating role of technology readiness in the relationship between determinants of geotagging technology and intention to adopt geotag technology. [ABSTRACT FROM AUTHOR]

Due to the outstanding growth of geotagging technology usage among the social networking sites (SNSs) users, research is needed to better understand how SNSs users accept and use this technology. This study explores the factors that affect the adoption of geotagging technology among the SNSs users integrating personal innovativeness in IT (PIIT) with UTAUT. By using structured questionnaire survey, 390 data were collected. Statistical analysis techniques, such as SPSS AMOS and partial least square method, based on structural equation modelling (SEM), were used to analyse the collected data. Integrated UTAUT fulfills all criterion of model fitness. Interestingly, PIIT properly explains the personal characteristics of SNSs users in UTAUT framework. PIIT has impact on all UTAUT exogenous constructs except effort expectancy as well as on behavioural intention. Two new paths among the predictor variables (e.g. facilitating condition to effort expectancy and effort expectancy to performance expectancy) are statistically significant. All constructs of UTAUT except effort expectancy have substantial positive effect on SNSs users' intention to adopt geotagging technology. Geotagg's use frequency strongly moderated the different relationships in the integrated UTAUT model. The study will succor different tourism firms, restaurants and SNSs service providers to maximise the adoption of geotagging technology use. It contributes to knowledge by adding new moderator, new paths as well as integrating personal characteristics (e.g. PIIT) in UTAUT. [ABSTRACT FROM AUTHOR]

Purpose: Integrating social network theory with signaling theory, the purpose of this research is to examine the impact of corporate political connections and executive's international experience on Chinese firms initial public offerings (IPOs) performance in the USA. Design/methodology/approach: This study used Securities Data Company (SDC) New Issues database to identify all Chinese firms that went public in the USA between 2003 and 2014. Consistent with previous research, IPO firms excluded from the sample include merger or acquisitions, spin-offs and initial stage listed firms. The final sample size is of 142 Chinese foreign IPOs in the US markets. Findings: This study finds that firms with political connections perform significantly poor than firms without political connections. It shows that US stock markets react to the signals of political connections of Chinese foreign IPOs. In response, the Chinese foreign IPOs can signal international work experience of top executives to US investors. The results show that the executives' international work experience has significant positive relationships on foreign IPO performance of Chinese firms. Moreover, this study finds that the interaction between corporate political connections and international experience pursues positive effects on the performance of foreign IPOs. Originality/value: This research intends to extend the knowledge of how corporate political connections and international work experience affects the performance of Chinese firms attempting to access US capital markets. To date, scholars have not investigated the influence of corporate political connections on the amount of capital raised by foreign IPOs. [ABSTRACT FROM AUTHOR]

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The article presents several poems by Md. Ziaul Haque including "Who Loves More? Let the Rain Decide," "Your Beauty Amazed Me," and " A Beautiful Heart." First Line: Far away we are, Last Line: Back to life, will there be any room for lies? First Line: Oh! The moment you appeared, Last Line: and Helen. First Line: Heart everyone has one, Last Line: forgetting Rosalind's part.