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This study aims to explain investors’ intention to invest in the stock market amid the COVID-19 pandemic by expanding the Theory of Planned Behavior (TPB).

This study adopts a quantitative approach, and a questionnaire-based survey was conducted to collect responses from existing and potential individual investors. To test the relationships between variables, structural equation modeling was used.

The findings indicated that investors’ attitude and perceived behavioral control had a significant influence on investment intentions. Further, perceived knowledge of COVID-19 improved the ability to predict the intention to invest. Moreover, psychological risk significantly moderated the association between subjective norms related to investors and their attitudes. Overall, the tested model was able to better account for the intention of investors in stock market investments.

In this study, only the investor reactions in the context of an emerging market were evaluated, and future studies could focus on different market contexts and perform comparative studies. Financial markets could be considered as a mechanism that has a direct impact on the wealth distribution of society, and the key findings of this study could be used to promote investment in emerging markets, where participation is comparatively low.

The TPB was expanded by incorporating investors’ perceived knowledge of COVID-19 and psychological risk dimensions, which were then tested in an emerging market context to fill the knowledge gap identified in the contemporary behavioral finance literature.

This study aims to examine the determinants and consequences of integrated reporting (IR) disclosures of listed non-financial firms in an emerging economy.

This study uses data from 39 listed non-financial firms that had adopted IR disclosure framework in Sri Lanka for the period from 2011 to 2018. Firm size, growth opportunity, profitability and firm age are considered significant determinants of IR disclosure, while their consequences are measured in terms of share price, Tobin’s Q, return on assets and return on equity. The authors used the results of the correlation and panel regression analyses to draw this study’s conclusions.

This study finds that firm size and age are the significant determinants of IR disclosure, which is consistent with this study’s expectations. Considering the consequences of IR disclosure, only share price and Tobin’s Q show significant results as per the panel regression analyses.

The findings of this study would be useful in the decision-making processes of existing and prospective investors, regulators, policymakers and society at large. Further, the findings of this study communicate the benefits of this new reporting paradigm in shaping their disclosures in the annual corporate reporting process.

Although existing studies attempted to examine the determinants of IR disclosure and its consequences as isolated studies, this study provides new insights by merging these two aspects into a single study and consider several determinants and consequences as well.

This study broadly attempts to explore adaptive or dynamics patterns of calendar effects existed in the cryptocurrency market as per the adaptive market hypothesis (AMH) framework. Another agendum of this study is to investigate the quantum of extra returns which may result from the presence of calendar effects.

The present study considers both parametric and non-parametric approaches to verify calendar effects empirically. Specifically, this study has implemented Generalised Autoregressive Conditional Heteroscedasticity (1, 1) and Kruskal–Wallis tests in the rolling window approach to reveal adaptive patterns of calendar effects. Additionally, the present study has used the implied trading strategy to evaluate the volume of excess returns resulted from calendar effects than buy-and-hold (BH) strategy.

The overall results of the current study exhibit that calendar effect in the cryptocurrency market is dynamic rather than static which indicates the calendar effect is a time-varying phenomenon. Moreover, this study also confirmed that ITS is not suitable to obtain extra returns despite the existence of calendar effects.

The present study has covered some broad aspects of calendar anomalies in the cryptocurrency market, keeping aside certain other limitations which need to be addressed in the following dimensions. Future studies may aim at addressing issues like, Turn-of-the-Year effect, Halloween effect, weather effect, and Month-of-the-Year effects, and try to explore the reasons of presence of dynamic patterns of calendar effects.

The significant implication of this study is that it alerts investors about market return predictability due to calendar patterns or effects in different periods. It also suggests the period in which the ITS can perform better than the BH strategy.

It is the first study in the cryptocurrency literature which has adopted the AMH framework to verify adaptive calendar effects or anomalies. Furthermore, this study, instead of a mere examination of the presence of calendar effects, has evaluated the potential of calendar effects to produce extra returns through trading strategies.

This study aims to examine the behavioral intention and the usage of Computer-Assisted Audit Techniques (CAATs) in external auditing by extending the original Unified Theory of the Acceptance and Use of Technology (UTAUT) Model.

A quantitative research approach is used in this study and 474 responses were secured from external auditors through a self-administered questionnaire, which was analyzed using structural equation modeling.

Findings reveal that lower Perceived Risk (PR) and Anxiety (AN) of external auditors, which were two constructs that we additionally introduced, contributed as the highest impact factors to the increased intention to use CAATs in external audits. In addition, all other determinants that were introduced [i.e. Self-efficacy (SE), Attitude toward Technology (AT), Perceived Credibility (PC) and Trust (TR)] had a positive impact on the intentions to use CAATs. However, social influence surprisingly negatively influenced the intentions to use CAATs and was positively moderated by Voluntariness (VO). Furthermore, Performance Expectancy (PE) and Effort Expectancy (EE) were also observed to have a positive impact on intentions to use CAATs in external auditing. Moreover, Facilitating Conditions (FC) and Intentions to Use (IU) CAATs were noted to have positive influences on the Actual Use (AU) of CAATs.

The present study extended the UTAUT model by introducing relevant additional constructs: SE, PR, AT, AN, PC and TR, and examined the impact of these on the intention to use CAATs, and subsequently such intentions on the actual use of CAATs in external auditing, with several implications.

The purpose of this study is to provide fresh insights into whether there is an expectation gap between external auditors' and other stakeholders' perceptions of external auditors' responsibilities in an emerging economy, in light of recent changes to the global audit landscape.

A quantitative approach in the positivistic paradigm was adopted, and a structured questionnaire was used to gather data.

The findings suggested that there was a statistically significant discrepancy between external auditors' and social groups' perceptions of the responsibilities of external auditors. More than half of the gap was due to deficiency in standards, 19% due to unreasonable expectations by society, while 25% of the gap was found to be due to deficient performance.

The study focused on the duties of external auditors and not on the duties of other types of auditors while examining the audit expectation-performance gap (AEG), and this was due to the drastic differences in the scope of their duties.

The findings of this study are likely to have direct policy implications for regulators, authorities, educators and auditing professionals, who should take immediate actions and measures to reduce the AEG in light of the current global audit landscape advancements and changes.

The present study used a substantially updated model to measure the AEG to suit the contemporary changes in the auditing landscape, and could be considered as a pioneering study that measures the AEG in an emerging economy amid recent changes.

This study aimed to understand better what makes esports fans engage with streamers' live-streaming of esports gameplay. This study used the Theory of Planned Behavior (TPB) and additionally adopted streamer identification and esports game identification as moderating variables.

Data were collected from streamers' esports content streaming viewers over 18 years of age using an online survey in Amazon M-Turk (N = 307). Based on past esports live-streaming weekly watching hours, which range from 1 to 45 h, the participants were divided into lower (n = 152) and higher (n = 155) frequency groups. PLS-SEM and bootstrapping techniques were used to test the moderated mediation relationships among the constructs.

This study found a negative moderating effect of past watching experience on the relationship between attitudes and behavioral intention, and it positively moderated the path between perceived behavioral control and behavioral intention. Also, it was found statistically significant direct impacts of streamer identification (STI) and esports game identification (EGI) on attitude and subjective norms. While the indirect impact of STI on behavioral intention through attitude was statistically significant, there were no significant indirect impacts of EGI on attitude and behavioral intention through subjective norms.

Theoretically, this study extends the TPB model by exploring the two identifications (i.e. streamers and esports games) as antecedents of the focal TPB factors (i.e. attitudes, subjective norms and perceived behavioral control) and the moderating effect of prior experience based on high/low weekly watching frequencies. Practically, content creators of esports live-streaming and live-streaming platform managers can use the study’s findings to develop strategies to nurture their current and future viewership.

The main aim of this paper is to empirically test at market level, the investors' differential reaction to information, contribution of their confidence level and adaptive behaviour to excessive market volatility in Indian stock market.

The Bivariate Vector Autoregression and Impulse Response Analysis are used to study whether investors over/under-react to private and public information. EGARCH models are used to study the contribution of investors' over/under-confidence and adaptive behaviour to excessive market volatility.

The investors over-react to private information and under-react to public information during pre-crash period, become overconfident and contribute to excessive volatility. They under-react to both private and public information during after-crash period, become under-confident and also conform to adaptive market hypothesis (AMH).

The empirical results of the study can help investors to minimize the negative impact of over/under-confidence on their expected utility.

The investors shall perform a post-analysis of investment, become aware of their past behavioural mistakes and start adapting to changing market conditions. This shall move the markets towards a new equilibrium in long run thus conforming AMH. However, the investors sometimes display an apparently irrational behaviour during this process.

To the best of the author's knowledge, this is the first study at market level data examining investors' over/under-reaction, over/under-confidence and adaptive behaviour in the context of stock market crash.

Although social anxiety disorder (SAD) is a common mental disorder, it is often under diagnosed and under treated. The aim of this study is to assess the prevalence, severity, disability, and quality of life towards SAD among students of Jazan University, Saudi Arabia. A cross-sectional study was conducted among a stratified sample of 500 undergraduate students to identify the prevalence of SAD, its correlates, related disability, and its impact on the quality life. All participants completed the Social Phobia Inventory, Leibowitz Social Anxiety Scale, Sheehan Disability Scale, and the WHO Quality of Life – BREF questionnaire. Of 476 students, 25.8% were screened positive for SAD. About 47.2% of the students had mild symptoms, 42.3% had moderate to marked symptoms, and 10.5% had severe to very severe symptoms of SAD. Students who resulted positive for SAD reported significant disabilities in work, social, and family areas, and this has adversely affected their quality of life as compared to those who screened negative for SAD. Students reported several clinical manifestations that affected their functioning and social life. Acting, performing or giving a talk in front of an audience was the most commonly feared situation. Blushing in front of people was the most commonly avoided situation. Since the present study showed a marked prevalence of SAD among students, increased disability, and impaired quality of life, rigorous efforts are needed for early recognition and treatment of SAD.

The purpose of this paper is to boost the existing literature on adaptive market hypothesis (AMH) as it first time links predictability of gold, silver and metal returns with AMH which permits the predictability of returns to vary over time.

To know whether commodity (gold, silver and metal) market is efficient or not, the commodity returns are observed by using appropriate linear time series tests (variance ratio test, runs test and auto-correlation test). To capture the varying efficiency of three commodities, the study employs subsamples of five years and all sub-samples are exposed to linear econometric tests to reveal how market efficiency (independency of returns) has behaved over time.

It is found that the commodity market (gold, silver and metal) is adaptive because fluctuation is observed in the market efficiency. Returns of all three commodities go under the periods of efficiency and inefficiency. Thus, AMH is the better description of behavior of commodity markets than traditional efficient market hypothesis.

Choice of sub-sample in the study is the first limitation as the authors employ a sub-sample comprising five years. Second, commission, fee and taxes (transection cost) are ignored in the study. Finally, the results are reported on the basis of linear econometric tests. In future, longer time period sub-sample analysis is suggested by the study to explore the varying nature of the commodities. Moreover, rolling window analysis may be a more appropriate method to elucidate the idea of AMH in further research. It is further suggested that the method used in the study could be helpful and adapted to examine other commodities (metal and agriculture), bonds and equity markets around the world.

The study will provide a better investment model which can enable the investors to seek more returns in future. Moreover, this research can be extended to explore multiple issues like adaptive behavior of returns from crypto currencies, bonds, stocks and real estate investment trusts.

As all the linear tests reveal that almost all the commodities show inefficient behavior in full sample period, it is clear that past prices widely would be helpful to predict the future prices at NYSE; furthermore, investors can use the time-varying information to reduce the risk of investment at NYSE. The study is helpful for individual investors as well as portfolio managers and brokers to forecast the prices on the bases of findings.

The paper identifies the need to study why behavior of commodity returns varies over time.

This study aims to determine the impact of attitude toward content creators, subjective norm and perceived content quality in affecting people’s intention and behavior to watch videos posted on YouTube in Indonesia.

Using questionnaire, data from the total of 112 individuals living in Indonesia were gathered in this study, and these respondents are individuals who have been watching YouTube contents at least 3 h a day for the past eight months. Moreover, all of these data were processed and analyzed using PLS method to determine the impact given by one variable toward the other.

Based on the results of the analysis, the authors concluded that both factors, namely, content credibility and perceived content quality, play significant and positive roles in determining people’s intention to watch – and ultimately behavior to watch – contents or videos published on YouTube, with the former turned out to be the stronger predictor.

The current study attempts to modify and merge both the concept of theory of reasoned action and product quality theory to explain Indonesians’ behavior toward watching contents published on YouTube, and to the best of the authors’ knowledge, this type of studies is still in rarity.