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Despite its devastating nature, the COVID-19 pandemic has also catalyzed a substantial surge in the adoption and integration of technological tools within economies, exerting a profound influence on the dissemination of information among participants in stock markets. Consequently, this present study delves into the ramifications of post-pandemic dynamics on stock market behavior. It also examines the relationship between investors' sentiments, underlying behavioral drivers and their collective impact on global stock markets.

Drawing upon data spanning from 2012 to 2023 and encompassing major world indices classified by Morgan Stanley Capital International’s (MSCI) market and regional taxonomy, this study employs a threshold regression model. This model effectively distinguishes the thresholds within these influential factors. To evaluate the statistical significance of variances across these thresholds, a Wald coefficient analysis was applied.

The empirical results highlighted the substantive role that investors' sentiments and behavioral determinants play in shaping the predictability of returns on a global scale. However, their influence on developed economies and the continents of America appears comparatively lower compared with the Asia–Pacific markets. Similarly, the regions characterized by a more pronounced influence of behavioral factors seem to reduce their reliance on these factors in the post-pandemic landscape and vice versa. Interestingly, the post COVID-19 technological advancements also appear to exert a lesser impact on developed nations.

This study pioneers the investigation of these contextual dissimilarities, thereby charting new avenues for subsequent research studies. These insights shed valuable light on the contextualized nexus between technology, societal dynamics, behavioral biases and their collective impact on stock markets. Furthermore, the study's revelations offer a unique vantage point for addressing market inefficiencies by pinpointing the pivotal factors driving such behavioral patterns.

As Australians experience more fierce and frequent natural disasters, there are urgent calls for businesses to meaningfully respond to climate change. Australian financial and professional services employees occupy an ambiguous space as climate mitigation measures have different economic implications for their clients. The purpose of this paper is to investigate how Australian professionals experience climate change and respond to the issue within their workplace.

This mixed methods study applies a systems thinking framework to investigate: how do professionals’ experiences of the issue of climate change and the workplace influence their cognitions, emotions and behaviour? And in particular, what psychosocial antecedents precede voicing climate concern?

Firstly, a survey of professionals (N = 206) found social norms, perceived behavioural control and biospheric values, but not attitudes, significantly predicted prohibitive green voice. Middle managers were significantly likely to voice climate concern, whereas senior managers were significantly likely to express climate scepticism. Ten professionals were then interviewed to gain a contextualised understanding of these trends. Interpretive phenomenological analysis identified five interrelated themes: (1) active identity management, (2) understanding climate change is escalating, (3) workplace shapes climate change response, (4) frustration and alienation and (5) belief that corporations prioritise profit.

Findings are discussed in relation to how employees may both embody and adapt their organisations. These results have implications for understandings of workplace meaningfulness and organisational risk governance.

The data for this case were obtained primarily through a series of in-person interviews in Penang between the authors and Pete Browning (a pseudonym) from 2017 to early 2019. The authors also consulted secondary data sources, including publicly available material on BMax and “Company B”.

This case examines a key decision, or set of decisions, in the life of a small- to medium-sized management consultancy group, namely, whether they might expand their operations in Southeast Asia, and if so, where. These key decisions came in the wake of their having already established a very modest scale presence there, with an operating base on the island of Penang just off the north western coast of Peninsular Malaysia. The initial establishment of a Southeast Asian branch had been somewhat spontaneous in nature – a former colleague of one of the two managing partners in the USA was on the ground in Malaysia and available: he became the local partner in the firm. But the firm had now been eyeing expansion within the region, with three markets under particular consideration (Singapore, Indonesia and Thailand) and a further two (Vietnam and China) also seen as possible targets, though at a more peripheral level. The questions facing the decision makers were “was it time they expand beyond Malaysia?” and “if so, where?”

This case could be used effectively in undergraduate courses in international business. The key concepts on which the case focuses are the factors affecting market entry, particularly the choice of market and the assessment of potential attractiveness such markets offer.

A major source of external funding for US airports comes from issuing municipal bonds. Credit rating agencies evaluate the bonds using multiple factors, but the judgments behind the ratings are not well understood. This paper examines if airport rate-setting methods affect the bond ratings of US airports.

Using a set of unbalanced panel data for 58 hub airports from 2010 to 2019, we examine the effect of the rate-setting methods and other airport characteristics on Fitch’s airport bond rating.

We find that compensatory airports consistently receive a very high bond rating from Fitch. The probability of getting a very high Fitch rating increases by ∼28 percentage points for a compensatory airport. Additionally, the probability of getting a very high rating is about 33 percentage points higher for a legacy hub.

The study uses Fitch bond ratings. Future studies could examine if S&P’s and Moody’s ratings are also influenced by airport rate-setting methods and legacy hub status.

The results uncover the linkage between bond ratings and their determinants for US airports. This information is important for investors when assessing airport creditworthiness and for airport operators as they manage capital project financing.

This is the first study to evaluate the effects of rate-setting methods on airport bond rating and also the first to document a statistically significant relationship between airports’ legacy hub status and bond ratings.

This paper aims to understand whether the relationship between psychological empowerment, psychological well-being and higher person–job fit based on the self-determination theory could have mitigated the Great Resignation crisis.

A cross-sectional study was conducted by collecting data from 351 respondents working in Indian organizations (Nifty, 2020) using a standardized questionnaire by using the multifaceted psychological construct within the work context.

This study highlights that a moderated mediation relationship between psychological empowerment (specifically “impact” or “choice”) and psychological well-being (specifically “environmental mastery”) is impacted by the person–job “demand-abilities” fit and enhances the intention to stay in the current “great resignation” context.

The authors map the theoretical and empirical research of the “intention to stay” by developing the “demand-abilities” fit, which leads to higher levels of psychological empowerment and psychological well-being to build adaptability through effective learning practices.

The authors establish the underlying linkages and future research agenda to strengthen the “intention to stay” during the extraordinarily stressful context of the covid-19 pandemic.

Women working in public relations (PR) in the 1990s developed the power of metamodern pragmatism to avoid being constrained in this decade of contradictions.

This was a time of promise for female empowerment and careers. The PR industry in Britain had quadrupled in size, yet increased feminisation and professionalisation did not resolve gender inequity. Indeed, alongside the existence of ‘old boys clubs’ and hedonistic macho agencies in the industry, the 1990s offered a lad's mag culture and an AbFab image of PR.

An original collaborative historical ‘Café Delphi’ method was developed using three themes (sex, sexuality and sexism) to explore women's careers and contributions in the expanding and increasingly powerful field of PR in the United Kingdom during the 1990s. It built on feminist critique of the industry and paradoxical portrayals of women resulting from significant changes in media, popular culture and a pluralistic marketplace.

Individual and collective experiences of women working in PR at the time reveal the power of attitudes to affect their ability to achieve equality and empowerment. Women navigated tensions between the benefits of accelerated pluralism and the patriarchal resistance in the workplace through performative choices and a deep sense of pragmatism.

Grounded in the stakeholder theory and signaling theory, this study aims to broaden the research agenda on environmental, social and governance (ESG) investing by uncovering public sentiments and key themes using Twitter data spanning from 2009 to 2022.

Using various machine learning models for text tonality analysis and topic modeling, this research scrutinizes 1,842,985 Twitter texts to extract prevalent ESG investing trends and gauge their sentiment.

Gibbs Sampling Dirichlet Multinomial Mixture emerges as the optimal topic modeling method, unveiling significant topics such as “Physical risk of climate change,” “Employee Health, Safety and well-being” and “Water management and Scarcity.” RoBERTa, an attention-based model, outperforms other machine learning models in sentiment analysis, revealing a predominantly positive shift in public sentiment toward ESG investing over the past five years.

This study establishes a framework for sentiment analysis and topic modeling on alternative data, offering a foundation for future research. Prospective studies can enhance insights by incorporating data from additional social media platforms like LinkedIn and Facebook.

Leveraging unstructured data on ESG from platforms like Twitter provides a novel avenue to capture company-related information, supplementing traditional self-reported sustainability disclosures. This approach opens new possibilities for understanding a company’s ESG standing.

By shedding light on public perceptions of ESG investing, this research uncovers influential factors that often elude traditional corporate reporting. The findings empower both investors and the general public, aiding managers in refining ESG and management strategies.

This study marks a groundbreaking contribution to scholarly exploration, to the best of the authors’ knowledge, by being the first to analyze unstructured Twitter data in the context of ESG investing, offering unique insights and advancing the understanding of this emerging field.

Sustainable investments (SI) represent a promising class of investments, combining financial returns with mitigating environmental challenges, achieving SDG goals and creating a positive business impact. An enhanced global focus on climate change developments in the backdrop of COP26 and COP27, raised the need for comprehensive literature mapping, to understand the emerging themes and future research arenas in this field.

The authors apply a quali–quantitative approach of bibliometric methods coupled with content analysis, to review 1,022 articles obtained from the Web of Science (WoS) database for 1991–2023.

The results identify the leading authors and their collaborations, impactful journals and pioneering articles in sustainable investment literature. The authors also indicate seven major themes of SI to be financial performance; fiduciary duty; CSR; construction of ESG-based portfolios; sustainability assessment tools and mechanisms; investor behavior; and impact investing. Further, content analysis of literature from 2020 to 2023 highlights emerging research issues to be SDG financing via green bonds and social impact bonds; investor impact creation via shareholder engagement and field building strategies; and governance related determinants of firm-level sustainable investments. Finally, the authors discuss the research gaps across these themes and identify future research questions.

This paper crystallizes research themes in sustainable investment literature using a vast coverage of globally conducted studies published in reputed journals till date. The findings of this study coupled with future research questions provide a well-grounded foundation for new researchers to further explore the emerging dimensions of this field.

The purpose of this study is to review how international female faculty experience linguistic challenges and bias in their US university careers.

By reviewing related literature, the authors explore the career challenges of international female faculty including hiring, promotion and tenure and leadership opportunities from a linguistic profiling perspective.

International female faculty have relatively few hiring opportunities, specifically when institutions and fields openly accept linguistic profiling and bias and are less likely to hire non-native English-speaking international faculty. In the promotion and tenure process, international female faculty have struggled with standard academic English criteria and poor teaching evaluations from students because of the faculty’s different English usage such as word choice, grammar and pragmatics. In terms of leadership opportunities, international female professors have faced linguistic bias that non-native English faculty members are not competent, credible, intelligent or skilled because they speak accented English.

This study can help researchers and career development practitioners by adding linguistic profiling specific diversity and inclusion perspectives to existing literature. The findings expand the perspectives and practices related to the career challenges of international female faculty due to linguistic profiling.