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The purpose of this paper is to operationalize the construct of work interruptions resiliency (WIR) and develop a measure assessing the extent to which employees report resiliency in resumption of work activities post-interruption (Study 1), and to further examine WIR’s nomological net, specifically its predictive relations with important employee-level outcomes (Study 2).

Study 1 utilized subject matter experts and data from 274 employees from a range of industries for scale development. Study 2 utilized 365 registered nurses from a hospital network to confirm and extend the findings from Study 1 within a relevant, dynamic job type.

Study 1 yielded a psychometrically sound measure for WIR comprised of four factors (typical, critical, external, sensory). Validity was evidenced via negative correlations with cognitive demand and Type A personality, and positive correlations with conscientiousness. Study 2 expanded WIR’s nomological net by evidencing its predictive relations with employees’ role clarity, autonomy support, role breadth self-efficacy, and evidence-based practice adoption intentions.

This research introduces WIR and develops a measure for assessment, providing validity evidence and establishing an initial nomological net for WIR upon which further research can rely and build.

The work interruptions resiliency construct and measure have the potential to impact selection and training, particularly in job types wherein poor recovery from interruptions can yield detrimental consequences.

Work interruptions compromise productivity and result in errors. It is therefore crucial that organizations assess the extent to which employees are resistant to the detrimental effects of such disruptions (Study 1) and understand the nature of WIR’s predictive relations with important employee-level outcomes (Study 2).

The emergence of social media as a corporate disclosure channel has caused significant changes in the production and dissemination of corporate information. This review identifies important themes in recent research on the impact of social media on the corporate information environment and provides suggestions for further explorations of this new but fast-growing area of research. Specifically, we first review the evolution of Internet-based corporate disclosure and related regulations, and then focus on three recent streams of research: 1) companies’ use of social media; 2) information produced by non-corporate users and its impact on capital markets; and 3) the credibility of corporate information on social media platforms.

This study aims to investigate the use of voluntary disclosure on mainstream social media platforms to examine strategic responses to the COVID-19 pandemic. It examines the influential factors and institutional pressures organisations faced when making disclosures on social media during the pandemic.

A two-stage qualitative approach was adopted. Stage one used content analysis to examine voluntary disclosures made by international organisations on social media during the emergence of the COVID-19 pandemic. Stage two comprised semi-structured interviews with individuals who were involved in the decision-making process around the social media disclosures.

This study’s findings reveal significant changes in disclosure practices due to COVID-19-related pressures. In addition to the utilisation of social media for signalling conformance with new pandemic-related norms and connecting with stakeholders, the evidence also reveals how organisations made use of strategic responses to COVID-19-related institutional pressures.

The findings reveal how social media was used as a means of timely voluntary disclosure during the examined crisis. The findings can inform the development of organisational guidelines and policies for the use of social media as a disclosure medium.

This study reveals how organisations used voluntary disclosure on social media as a strategic response to institutional pressures and the COVID-19 pandemic; this context is under-researched. The study also extends the application of the strategic response framework regarding voluntary disclosure via social media.

The new audit regulation for disclosure of key audit matters (KAMs) in financial reporting has been introduced in both developed and developing countries. This study investigates the influence of three distinctive sets of variables, namely industry features, firm characteristics and auditor attributes, on the extent, pattern and level of disclosure of KAMs by companies listed in Bangladesh, an emerging economy.

The study uses qualitative and quantitative research approaches to investigate the pattern of disclosure of KAMs and their determinants. With a sample of 447 firm-year observations from companies listed on the Dhaka Stock Exchange over 2018–2020, the study reveals industry-level, firm-level and auditor-specific characteristics that affect KAMs' communication in the new audit reporting model.

The findings suggest that significant differences exist between firms in the number and types of KAMs reported and the extent of their disclosure. The study findings also observed variations both within and across different industry sectors. Highly regulated firms disclose a greater number of KAMs, while environmentally sensitive firms are found to provide a greater detail of the issues presented as KAMs. Further, both firm size and age positively impact the number of KAMs disclosed and the extent of the disclosure provided. Big-4-affiliated auditors do not issue a significantly higher number of KAMs but deliver extensive details to their KAMs description, compared to non-Big-4 auditors. In addition, while auditors, in general, tend to issue boilerplate KAMs, Big-4 associates are found to disclose more new KAMs. However, audit fees and auditor rotation do not influence KAMs disclosure.

This study is based on two years of publicly available data. However, future studies could consider in-depth interviews to explore the motivation behind KAMs' disclosure in Bangladesh and other developing countries with similar cultural and contextual values.

These findings have substantial policy considerations for improving firms' audit quality and, thus, their financial reporting quality, with implications for national and international standard-setters, regulators and other stakeholders.

This study is one of the earliest endeavours to investigate KAMs in a context of an emerging country, such as Bangladesh, which adopted KAMs' disclosure in 2018.

The purpose of this paper is to investigate the effects of Facebook users' responses to corporate Facebook posts on investor diversity and trading consensus.

The authors collect publicly available data on corporate Facebook posts and user responses to such posts. They use the OLS regression framework to analyze the effects of such Facebook activities on institutional ownership percentage and trading consensus among investors.

The authors find that Facebook users' responses to corporate Facebook posts reduce large institutional investors' ownership. Their interpretation for this finding is that such Facebook activities increase the visibility of the companies across a more diverse group of investors. This increased visibility especially makes information more accessible to smaller investors so that they are attracted to invest more in these companies. They also find that Facebook activities increase the buy-sell consensus among investors, indicating that the information disseminated through social media reduces the disagreements among investors.

This paper examines the effects of user reactions to all kinds of corporate Facebook posts without separately identifying the types of posts such as advertising, financial information and corporate news. Future research may try to identify the differential effects of specific types of posts and reactions on investor diversity.

The results suggest that social media has become a new and effective supplement to traditional disclosure channels in making information available to all investors in the capital market.

This paper is among the first to document the effects of corporate disclosures on social media in changing investor composition and reducing the information gap among investors.

The use of social media tools by companies is common, but the links between the use of multiple social media tools by companies and stock price changes are largely unknown. Therefore, this study aims to analyze the value-relevance of social media activities on Facebook (FB), Instagram (IG), LinkedIn (LI), Twitter (TW) and YouTube (YT).

Stock market data and hand-picked social media data in this study were collected from Finland, a small language area with consistent International Financial Reporting Standards (IFRS) reporting practices, in the expectation of better comparability and lower noise in the data.This study uses correlation, regression and factor analyses for a sample of 105 Finnish public limited companies listed on the Nasdaq Helsinki stock exchange.

This paper finds evidence that social media activity is an important area of analysis and that the activity and popularity of a company in social media are value-relevant variables in forecasting stock prices.

Not all social media activities are necessarily equally important for managers and investors. Focus on visual messages in social media is recommended.

The findings of this study highlight the value-relevance of using multiple visual social media channels, particularly IG and YT. This paper suggests avenues for future research and for analyzing social media information.

This paper describes a software architecture which supports the design of hierarchical controllers that provide facilities for adaptation, supervision and task planning. It details how this form of functional hierarchy differs from the structural hierarchy also inherent within a complex control system. Then, both forms of hierarchy are combined in a single design notation and development methodology. The system utilises intelligent control techniques (neuro‐fuzzy and genetic optimisation) for controlling a cryogenic plant used for superconductor testing by cooling the test samples to temperatures below 1008K. The system supports the design of a hierarchical controller that provides facilities for adaptation, supervision and task planning. Simulation results are presented.

This paper aims to expand the emerging literature on COVID-19 and the financial markets by searching for a relationship between the uncertainty of the first phase of the COVID-19 pandemic experienced through social media and the extreme volatility of the Italian stock market.

The authors analyze the relationship between social media and stock market trends during the first phase of the COVID-19 pandemic through the lens of social theory and Baudrillard's simulacra and hyperreality theory. The authors conducted the data analysis in two phases: the emotional and Granger correlation analysis by using the KPI6 software to analyze 3,275,588 tweets for the predominant emotion on each day and observe its relationship with the stock market.

The research results show a significant Granger causality relation between tweets on a particular day and the closing price of the FTSE MIB during the first phase of the COVID-19 epidemic. The results highlight a strong relationship between social media hyperreality and the real world. The study confirms the role of social media in predicting stock market volatility.

The findings have theoretical and practical implications as they reveal the relevance of social media in our society and its relationship with businesses and economies. In an emergency, social media, as an expression of users' feelings and emotions, can generate a state of hyperreality that is strong correlated with reality. Since social media allows users to publish and share messages without any filter and mediation, the hyperreality generated is affected by highly subjective elements.

This research is different from the previous ones on the same topic because unlike previous studies, conducted under normal or simulated scenarios, this study is focused on the first phase of an unpredictable and unforeseen emergency event: the COVID-19 pandemic. This research adopts a multidisciplinary approach and integrates previous studies on the economic and financial effects generated by social media by applying well-known theories to a new and unexplored context. The study reveals the significant impact generated by social media on stock markets during a global pandemic.

The use of social networking websites by companies to disclose corporate news and by investors to collect information for investment purposes is increasing rapidly. However, the role of investors’ affective reactions to corporate disclosures on social networking websites is under-researched. This paper aims to examine how the disclosure platform (disclosing news on a company’s Facebook Web page or the corporate investor relations Web page) and news valence (positive or negative) jointly influence investors’ affective reactions to corporate news and stock price change judgments.

The authors conduct an experimental study using 364 participants from Amazon’s Mechanical Turk website as a proxy for reasonably informed investors.

Results show that the disclosure platform influences investors’ affective reactions and stock price change judgments when the corporate news is negative, but not when the corporate news is positive. In addition, investors’ affective reactions mediate the influence of the disclosure platform on investors’ stock price change judgments when the corporate news is negative rather than positive.

This paper extends the theory on affective reactions to a social networking context by showing that differences in disclosure platforms and news valence influence investors’ affective reactions to corporate news. In addition, the study’s theory and findings have significant implications for researchers, company managers and public relations specialists, capital market participants, regulators and investor education organizations and users of social networking websites.