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Organisations have over time adopted conservative, structured and controlled processes to manage and achieve goals set with their stakeholders. Contrary to that, an environment of disruption has emerged, that being a faster, less predictable and less certain environment than the previous fifty or more years. This environmental difference has emerged due to the interconnectivity of trade formed out of globalisation, technology, internet and social media. The historical organisational decision models and structures are perhaps too slow and conservative for a faster less certain new age. Whilst pandemic was considered but one disruption to consider for the new age, more guidance is required for those leading and managing organisations through the current specific Covid-19 pandemic, into the pending recovery and beyond.

Whilst wide-scale jobs may be lost in this new future, new opportunities for entrepreneurs, creativity and skills will likely emerge. This article will research how disruption, pandemic in particular, is changing leadership and management practices. Additionally, this article recognises that many of the organisational structures and processes of today were originally designed over thirty to forty years ago, so may no longer be appropriate. The design aspects or organisations, decision models and dealing with stakeholders will likely need to change in a pandemic, so this paper will recommend new and modified ways for organisations to operate. This research will offer a theoretical solution to assist management and leaders adjust their business and decision models in a pandemic. The past operating organisational models may lack the creativity and flexibility necessary for a world that has locked down, works from home or have closed without notice at once. Leading and managing is so different in a pandemic, especially when so much has changed so quickly, so this article will contribute by recommending new organisational principles to work to.

Academic literature and news media on young people’s activism predominantly champions young people who align with liberal or progressive values, evident most recently in the youth-led climate strikes around the world. Research is often undertaken by scholars who see their work as advocacy for children and young people, countering deficit-based depictions of politically disengaged or ill-informed youth. Yet, this scholarship rarely includes young people whose forms of political activism align with conservative, right-wing, or even alt-right politics. Such ‘selective advocacy’ reinforces a limited picture of the who and what of young people’s political participation. In this chapter, I explore what it might mean for the field of youth studies to provide a more complex picture of young people’s activism and the necessary discomfort that emerges when the desire to advocate for young research participants conflicts with a researcher’s own political and moral concerns. Through a feminist post-structural frame, I examine media and public discourses surrounding instances of young people’s activism in conservative, right-wing, and alt-right spaces. I present the case of a conservative protest organised by a group of university students and targeting a drag queen hosted children’s story time at a library in Brisbane, Australia. This case highlights the importance of maintaining ‘epistemic uncertainty’ when it comes to the complexity of youth and activism. If we are to provide a fuller picture of youth activism, I argue that it is important not to overlook less ‘comfortable’ forms that do not neatly align with the progressive advocacy that dominates the field of youth studies.

This study examines the impact of social media investor sentiment on the stock market performance through qualitative and quantitative proxies.

The authors use a sample of daily stock performance related to S&P 500 Index for the period from December 18, 2017, to December 18, 2018. The social media investor sentiment was assessed through qualitative and quantitative proxies. For qualitative proxies, the study relies on three social media resources”: Twitter, Trump Twitter account and StockTwits. The authors proposed 3 methods to reflect investor sentiment. For quantitative proxies, the number of daily messages published from Trump Twitter account and StockTwits is considered as a signal of investor sentiment. For regression model, the study adopts the autoregressive distributed lagged to determine the relationships between the nonstationary series.

Empirical findings provide evidence that quantitative measures of investor sentiment have significant effects on S&P’500 performances. The authors find that Trump's tweets should be interpreted with caution. The results also show that the number of Trump's tweets on t−1 day have a positive effect on performance on day t.

Social media sentiment contains information for predicting stock returns and transaction activity. Since, the arrival of new information in capital markets triggers investor sentiment on social media.

This study investigates the investors’ sentiment through social media and explores quantitative and qualitative measures. The amount of information on social media reflects more the investor sentiment than content analysis measures.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-12-2022-0818

Drawing on a framework of conservation of resources theory, the purpose of this paper is to explore the relationship between self-perceived academic performance and individual entrepreneurial intention and consider the potential moderating role of (1) participation in serious leisure, (2) perceived stress and/or (3) gender.

A total of 405 UK-based undergraduates completed the questionnaire, with a representative gender split of 57% women and 43% men.

The positive relationship between self-perceived academic performance and individual entrepreneurial intention was moderated by serious leisure (stronger when participation in serious leisure increased) and by perceived stress (stronger when levels of perceived stress were lower). However, contrary to our expectations, gender had no statistically significant moderating role.

The practical contribution comes from informing policy for universities and national governments to increase individual entrepreneurial intention in undergraduates.

The theoretical contribution comes from advancing conservation of resources theory, specifically the interaction of personal resources, resource caravans and resource passageways.

The purpose of the paper is twofold: first, to observe the relationship between sale to list ratio (SLR)/ for-sale inventory (FSI)/ sale count nowcast (SCN) and real/nominal housing value, and second, to produce a handbook of empirical evidence that can serve as a foundation for future research on this topic.

This paper broadly compiles empirical evidence, using three of the most common causality tests in the field of housing economics. The analysis methods include lagged Pearson correlation test, Granger causality test and cointegration test.

Causal relationships were observed between SLR/FSI/SCN and both nominal and real housing values. SLR and SCN showed positive long-term correlations with housing value, whereas FSI had a negative correlation. Adjusting the housing value with the Consumer Price Index (CPI) to derive real housing values could potentially alter the direction of the causal relationships. It is crucial to distinguish the long-term relationship from temporal dynamics, as FSI displayed a positive immediate impulse–response relationship with nominal housing price despite the negative long-term correlation.

SLR/FSI/SCN are housing market parameters that have only recently begun to be documented and have seen little use in research. So far, housing market research has revolved around traditional macroeconomic indicators such as unemployment rate. To the best of the authors’ knowledge, this study is one of the first studies that introduce these three parameters into housing market research.

This study examines chronic illness, disability and social inequality within an exposure-vulnerabilities theoretical framework.

Using the National Survey of Drug Use and Health (NSDUH), a preeminent source of national behavioral health estimates of chronic medical illness, stress and disability, for selected sample years 2005–2014, we construct and analyze two foundational hypotheses underlying the exposure-vulnerabilities model: (1) greater exposure to stressors (i.e., chronic medical illness) among racial/ethnic minority populations yields higher levels of serious psychological distress, which in turn increases the likelihood of medical disability; (2) greater vulnerability among minority populations to stressors such as chronic medical illness exacerbates the impact of these conditions on mental health as well as the impact of mental health on medical disability.

Results of our analyses provided mixed support for the vulnerability (moderator) hypothesis, but not for the exposure (mediation) hypothesis. In the exposure models, while Blacks were more likely than Whites to have a long-term disability, the pathway to disability through chronic illness and serious psychological distress did not emerge. Rather, Whites were more likely than Blacks and Latinx to have a chronic illness and to have experienced severe psychological distress (both of which themselves were related to disability). In the vulnerability models, both Blacks and Latinx with chronic medical illness were more likely than Whites to experience serious psychological distress, although Whites with serious psychological distress were more likely than these groups to have a long-term disability.

Several possibilities for understanding the failure to uncover an exposure dynamic in the model turn on the potential intersectional effects of age and gender, as well as several other covariates that seem to confound the linkages in the model (e.g., issues of stigma, social support, education).

This study (1) extends the racial/ethnic disparities in exposure-vulnerability framework by including factors measuring chronic medical illness and disability which: (2) explicitly test exposure and vulnerability hypotheses in minority populations; (3) develop and test the causal linkages in the hypothesized processes, based on innovations in general structural equation models, and lastly; (4) use national population estimates of these conditions which are rarely, if ever, investigated in this kind of causal framework.

This case study is focused on strategic management of Huawei in sustaining the competitive position in the smartphone market. The discussions in the case study begins with the big picture of “Made in China 2025” policy and China’s 14th Five-Year Plan 2021–2025 attempting to change the country’s image from imitation to innovation. The case study then focuses on Huawei, the major provider of network equipment and smartphones, with the alignment of the national policy. The case demonstrates the difficulties faced by Huawei as a result of US ban. The students are challenged to perform in-depth discussions on various issues guided by the instructor using this Teaching Note. The teaching objectives are as follows: students should be able to analyse Huawei business environment and its strategic capabilities in the smartphone market; students should be able to evaluate the extent to which the effects of US sanction would have on Huawei smartphone operation; and students should be able to evaluate the strategies for Huawei to regain a leading position and achieve competitive advantage in the global smartphone market.

Huawei is the leading company in the information and communications technology (ICT) sector. Ren Zhengfei, Chief Executive Officer (CEO) of Huawei, has set the vision of building a global company that could rival the best in the world. Huawei’s heavy investments in research and development (R&D) have brought the company to be a leading brand in the international market. Huawei was charged as a security threat by the Donald Trump administration in 2019. The USA and its allies banned Huawei products, causing the smartphone shipments plummeted dramatically. The case presents a protagonist, Ren Zhengfei, CEO of Huawei, who built the business from a small company to a leading global ICT company. The growth of Huawei was struck by the US sanction with the supply chain being disrupted by a shortage of advanced chip technology to run the smartphone business. The dilemma addressed in this case study is concerned with how Ren Zhengfei could steer the company out of the crisis.

This case study was written for use in the courses of Innovation Management and Technology Strategy. The case is designed to support learning at various levels including the graduate, postgraduate and executive classes. Apart from the guided questions (assignment questions provided in the next section), the instructors should consider which specific areas of Huawei should be further explored to support the class discussions to benefit the students at different levels.

Teaching notes are available for educators only.

CCS 11: Strategy.