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The authors provide a general framework of behavior under asymmetric information and develop indices of diligence, objectivity and quality by an analyst and analyst firm about a studied firm, and relate them to the accuracy of its forecasts. The authors test the associations of these indices with time.

The test of Public Information versus Non-Public Information Models provides the index of diligence, which equals one minus the p-value of the Hausman Specification Test of Ordinary Least Squares (OLS) versus Two Stage Least Squares (2SLS). The test of Objectivity versus Non-Objectivity Models provides the index of objectivity, which equals the p-value of the Wald Test of zero coefficients versus non-zero coefficients in 2SLS regression of the earnings forecast residual. The exponent of the negative of the standard deviation of the residuals of the analyst forecast regression equation provides the index of analytical quality. Each index asymptotically equals the Bayesian ex post probability, by the analyst and analyst firm about the studied firm, of the relevant behavior.

The authors find that ex post accuracy is a statistically and economically significant increasing function of the product of the indices of diligence, objectivity and quality by the analyst and analyst firm about the studied firm, which asymptotically equals the Bayesian ex post joint probability of diligence, objectivity and quality. The authors find that diligence, objectivity, quality and accuracy did not improve with time.

There has been no previous work done on the systematic and objective characterization and joint analysis of diligence, objectivity and quality of analyst forecasts by an analyst and analyst firm for a studied firm, and their relation with accuracy. This paper puts together the frontiers of various disciplines.

This study aims to evaluate the presence of abnormal returns due to stock splits or reverse stock splits in the Brazilian capital market context.

The event study technique was used on data from 518 events that occurred in a 30-year period (1987–2016), comprising 167 stock splits and 351 reverse stock splits.

The results revealed the occurrence of abnormal returns around the time the shares began trading stock splits or reverse stock splits at a statistical significance level of 5%. The main conclusion is that stock split and reverse stock split operations represent opportunities for extraordinary gains and may serve as a reference for investment strategies in the Brazilian stock market.

This study innovates by including reverse stock splits, as the existing literature focuses on stock splits, and by testing two distinct “zero” dates that of the ordinary general meeting that approved the share alteration and the “ex” date of the alteration, when the shares were effectively traded, reverse split or split.

The commercialization of research produced by universities constitutes a core facet of academic entrepreneurship (AE). Academic literature reveals the need to shed light on entrepreneurial processes in higher education institutions (HEIs). This study intends to fill this gap by researching the mechanisms for facilitating AE and the variables that can moderate the relationship between such mechanisms and AE in Portuguese HEIs.

Our research model aims to assess the mechanisms of academic entrepreneurship (AE) within a sample of 125 Portuguese public higher education institutions (HEIs). To test our research hypotheses, we employed a structural equation model (SEM) using the partial least squares (PLS) method. Additionally, our evaluation examines the potential moderating effects of incubator programs, support initiatives, and proof-of-concept programs (PoCs). Our research model seeks to evaluate the mechanisms for facilitating AE and explore the effects of including incubator programs, support initiatives, and PoCs as moderators. The seven variables (Research mobilization, Unconventionality, Industry collaboration, University policies, Incubator programs and support initiatives, Proof-of-concept programs, and academic entrepreneurship) were measured using a 7-point Likert scale.

The results revealed that different drivers of AE influence the creation and development of entrepreneurial activities. Our findings also show the moderating effects of incubator programs, support initiatives, and proof-of-concept programs on AE. We find that incubator programs, other support initiatives, and PoCs maintain a moderating effect on AE and benefit their respective HEIs.

The study examines only the Portuguese HEI context. Therefore, generalizing these results necessitates reservations. However, the responses came from various actors in HEIs, from different academic backgrounds and research interests. This makes the results more generalizable. Limitations are evident in external validity, given that we gathered the data over a relatively short period.

Observed factors are explored to gain a deeper understanding of their influence on the mechanisms of AE. The implications arise from the new perspective presented and the methodology used to identify mechanisms capable of fostering AE. We hope this research will encourage other researchers to study this topic further.

the engagement of universities at the global level should be emphasised in future policy. While universities in innovation systems often have a local focus, their engagement in innovation ecosystems transcends the boundaries of geographic locations.

PoCs had a significant positive moderating effect on the impact of research mobilization and university policies on AE. Thus, we find interactions between universities and industry boost AE. This study demonstrates how AE benefits HEIs by extending orientation towards mobilizing research, unconventional approaches, cooperation with industry, and university policy implementation. We thus advocate a new approach, demonstrating the influence that the mobility of research, unconventionality, industry collaboration, and university policies hold over AE.

This study investigated the asymmetric effects of changes in policy uncertainty on real sector variables in Brazil, China, India and South Africa.

The study used the nonlinear autoregressive distributed lag (NARDL) modeling framework.

The results showed that both in the long run and short run, rising uncertainty not only increases consumer prices significantly in these economies, but also impedes aggregate and sectoral output growths, and deters investment, employment and private consumption. Contrary to economic expectation, the results also showed that in the long run, declining uncertainty impedes aggregate and sectoral output growths in these economies, and significantly hinders employment in South Africa and Brazil. This suggests that in the long run, economic agents in these economies somewhat behave as if uncertainty is rising. The authors also found significant asymmetric effects in the response of real sector variables to uncertainty both in the long run and short run, which justifies the choice of NARDL framework for this study.

The sample is limited to Brazil, India, China and South Africa. While Brazil, India and China are three of the most prominent large emerging market economies, South Africa is the largest emerging market economy in Africa.

To lessen the adverse effects of policy uncertainty observed in the results, there is need for sound institutions and policy regimes that can promote predictable policy responses in these economies so that policy neither serves as a source of uncertainty nor as a channel through which the effects of other shocks are transmitted.

Apart from using the NARDL framework to capture the asymmetric effects of policy uncertainty, this study also accounted for the sectoral effects of uncertainty in emerging markets.

We aim to conduct a bibliometric analysis that explores and maps quantitative data of the emerging field of central bank digital currencies in science and its implications in practice. We seek to clarify the underlying research structures and streams of the new phenomena, and our motivation is the rising number of pilots between governments seeking to implement different types of central bank digital currency.

We designed the unique set of keywords to explore ongoing projects on central bank digital currencies and the evolution of scientific thought on the topic. We conducted a descriptive analysis and an evaluating bibliometric analysis on the timeline from 2018 to April 18, 2023 and investigated 76 articles in the Web of Science database and 152 articles in the Scopus database using VOSviewer.

We highlight three main directions of discourse on central bank digital currencies in economics using authors keyword analysis, that are: (1) cash, (2) monetary policy and (3) financial stability. We conducted a map-based text analysis of the abstracts and identified the following main streams of discussion in the field: (1) policy-related research on financial systems, (2) a comprehensive review of the design and features of central bank digital currencies and (3) research on the impact of central bank digital currencies on the banking system.

The unique set of keywords allows us to continue the discourse on central bank digital currencies including implications of ongoing governmental projects on the topic and provide directions for future research. We brought the focus on the impact of central bank digital currencies on the banking sector and the new possible order for cash, deposits and payments.

This paper aims to contribute to existing academic work and business practice by presenting original empirical findings and by providing insights into priority setting on Sustainable Development Goals (SDGs) in organizations. From an academic viewpoint, it not only adds to previous work on the topic of SDG materiality (e.g. Van Tulder and Lucht, 2019) but also aims to contribute new insights into the steps that are crucial and influence the adoption of the SDGs in materiality assessments. It may also add to the literature by providing new knowledge on the strategic considerations that organizations may make and institutional dynamics that encourage organizations to implement the SDG materiality method.

By executing a national survey research in Belgium through a collaboration between academics of Antwerp Management School, Louvain School of Management (UCLouvain) and the University of Antwerp, and supported by Belgium’s Federal Institute of Sustainable Development, the authors have obtained several insights into the SDG landscape in Belgium for various types of organizations, including companies, governmental and nongovernmental organizations and educational institutions. This research builds further on a first national survey (SDG Barometer Belgium, 2018) on the adoption and implementation of the SDGs. However, an important aim of this research is to shift the emphasis to more prominent new elements, such as whether or not organizations use the SDGs in materiality assessments. While the main part of the data for this research were collected through an online questionnaire, document analyses were conducted based on the sustainability reports of BEL 20 companies, the benchmark stock market index of Euronext Brussels consisting of 20 companies traded at the Brussels Stock Exchange, and seven interviews were held to obtain additional insights.

A total of 386 organizations across sectors responded to the question “Does your organization perform a materiality analysis”, of which 210 organizations completed the question “Does your organization align the materiality analysis with the SDGs,”after an “exit route” based on a positive answer to the first question. When diving into the survey results, the authors see that no more than 12% of the 210 organizations performing a materiality analysis align their materiality analysis with the SDGs, while 14% indicate that they do not account for the SDGs at all in their materiality analyses. The results show that 41% of the organizations take into account the SDGs to a certain degree when performing their materiality analysis. Speculating on an explanation for these results, it may be the case that organizations do not yet think about coupling the SDGs to their materiality assessment, experience difficulties in practice or generally lack the knowledge for relating the SDGs to the sustainability topics that are relevant to them. This seems in line with other research (e.g. Van Tulder and Lucht, 2019), as the results of this study indicate that it seems to be difficult for organizations to relate the SDGs to the existing sustainability priorities or materiality analyses of companies.

The real contribution of this paper essentially lies in the description of the Janssen Pharmaceuticals case. The company recognized that today’s internally focused approach to goal setting is not enough to address global challenges. Hence, looking at what is needed externally from a global perspective, taking into account sustainability thresholds and setting ambitions accordingly, is needed to bridge the gap between current performance and required performance. From the Janssen Pharmaceuticals case, the authors learned that external stakeholders are an extremely useful source of information to address the required performance by using the SDG framework. For sure, SDG materiality analyses are still in an early phase of development and knowledge on how to conduct such an analysis may be lacking. Future efforts – or the lack thereof – may indicate whether or not companies consider such analyses as sufficiently relevant. Although the uptake of the SDGs is in progress, it remains to be seen which, if any, materiality method will eventually turn out as a new dominant way of defining material issues. The findings presented in this study hopefully serve as a basis for further investigation of the topic.

The purpose of this study is to investigate the extent to which a sample of the Australian cybersecurity industry is impacted by burnout.

Based on the review of the literature, this research investigates the following three hypotheses. Gender will significantly predict burnout scores. Those who identify as women will score higher on average than those who identify as men (because of being in a male-dominated industry). Self-reported burnout will differ across job roles. In addition, the authors expect these relationships to hold across the three dimensions of burnout, namely, emotional exhaustion, depersonalisation and professional efficacy. Sleep quality will be associated with burnout.

Gender and job role were significant predictors of emotional exhaustion, but not depersonalisation or professional efficacy. The interaction between gender and job role was also significant. Senior managers experienced poorer quality sleep, and poorer sleep quality was associated with greater reported emotional exhaustion at work. For emotional exhaustion, female respondents who worked in security consultant roles tended to score higher than their male counterparts.

Left unaddressed, the high level of workplace burnout may add to the well-being and retention problems developing within the cybersecurity community. These results indicate that organisations should look to measure the well-being of their own cyber workforce and implement meaningful changes if they wish to keep their cyber talent and enable them to thrive at work.

This research paper is an extension of a previous paper by the same authors which is titled “Is Your CISO Burnt Out Yet”. This paper examined the demographic differences in workplace burnout among cybersecurity professionals.