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This study aimed to compare mortality rate, length of stay (LOS) and hospitalization costs at different priority levels for a patient admitted to an intensive care unit (ICU) at a public tertiary hospital in Qazvin, Iran. This study also aimed to predict influencing factors on patients’ mortality, ICU LOS and hospitalization costs in different admission groups.

The authors conducted a retrospective cohort study among patients who mainly suffered from internal diseases admitted to an ICU of a public hospital. This study was conducted among 127 patients admitted to ICU from July to September 2019. The authors categorized patients into four groups based on two crucial hemodynamic and respiratory status criteria. The authors used a logistic regression model to predict the likelihood of mortality in ICU admitted patients during hospitalizations for the four prioritization groups. Furthermore, the authors conducted a multivariate analysis using the “enter” method to identify risk factors for LOS.

Results showed a statistically significant relationship between the priority of being admitted to ICU and hospitalization costs. The authors’ findings revealed that age, LOS and levels of consciousness had a predictability role in determining in-hospital mortality. Besides, age, gender, consciousness level of patients and type of the disease were mentioned as affecting factors of LOS.

This study’s findings emphasize the necessity of categorizing patients according to specific criteria to efficiently use available resources to help health-care authorities reduce the costs and allocate the budget to different health sectors.

Most research on tax evasion focused on microeconomic variables revolving around perceptions and decisions of individual taxpayers. However, a new wave of research is now investigating the role of macroeconomic variables in inducing tax evasion. This study adds to the limited studies in this new direction of research. Previous studies found that inflation, low gross domestic product (GDP) growth and gross fixed capital formation causes recession, increases unemployment, raise interest rates, hurts both domestic and foreign direct investments. This study examined the relationship between these variables and estimated tax evasion in Sub-Saharan Africa.

The study adopts a correlation research design with 2,300 data points collected from 23 countries in Sub-Saharan Africa. Specifically, tax to GDP ratio, gross fixed capital formation per GDP and the GDP annual growth report from each country for the period 2011–2020 was retrieved. Generalised least square regression technique was employed to analyse the data due to the presence of heteroskedasticity in the model and random effect was utilized based on the Hausman test. To avoid misspecification and biased result; therefore, all relevant test was conducted including the multicollinearity test.

The results indicate that GDP annual growth and gross fixed capital formation have a significant negative impact on estimated tax evasion in Sub-Saharan Africa. The findings further indicate a negative but insignificant relationship between inflation and estimated tax evasion in Sub-Saharan Africa. The study concludes that both GDP annual growth rate and gross fixed capital formation negatively influence estimated tax evasion and the policy implications in the African continent were discussed.

The new findings on the effects of GDP annual growth, growth fixed capital formation and inflation on estimated tax evasion provide novel knowledge that is currently lacking in the current literature, specifically Sub-Saharan African continent.

To the best of our knowledge, no study has examined credit cycle synchronizations in the context of emerging economies. Studying the credit cycles synchronization across BRICS (Brazil, Russia, India, China and South Africa) countries is crucial given the magnitude of trade and financial integration among member counties. The enormity of the trade and financial linkages among BRICS countries and growth spillovers from emerging economies to advanced and low-income countries provide the rationale and motivation to study the synchronization of credit cycles across BRICS.

The study investigates the credit cycles coherence across BRICS economies from 1996Q2 to 2020Q4. The synchronization analysis is done using the noval wavelet approach. The analysis examines not only the coherence but also the extent of credit cycle synchronization that varies across frequencies and over time among different pairs of nations.

The authors find heterogeneity in the credit cycles' synchronization among the member nations. China and India are very much in sync with the other BRICS countries. China's high-frequency credit cycle mostly leads the other countries' credit cycles before the global financial crisis and shows a mix of lead/lag relationships post-financial crisis. Interestingly, most of the time, India's low-frequency credit cycles lead the member countries' credit cycles, and Brazil's low frequency credit cycle lag behind the other BRICS countries' credit cycles, except for Russia. The results are crucial from the macroprudential policymaker's perspective.

The empirical design is applicable to a similar set of countries and may not directly fit each emerging economy.

The findings will help understand the marked deepening of trade, technology, investment and financial interdependence across the world. BRICS acronym requires no introduction, but such analysis may help understand the interaction at the monetary policy level.

This is the first study that highlights the need to understand the credit variable interactions for BRICS nations.

The PRCA December 2020 census tells us that, in the United Kingdom, the public relations (PR) industry continues to be predominantly female, with 68% of respondents ticking that box. It also highlights a ‘gender pay gap’ of 21%, an increase of 7% from March 2020 and states that ‘this can be explained by the fact that the respondents … are largely in senior roles which tend to be more male dominated’ (PRCA, 2020), thus demonstrating a leadership gap as well as a pay one. Both of the leading PR professional membership bodies in the United Kingdom – the PRCA and CIPR – acknowledge the gender pay and leadership gaps, made starker in an industry dominated by women, and have committed to tackle the disparity.

In this chapter, I build on Liz Yeomans' (2020) work, in which she suggests ‘new avenues for researching neoliberalism and postfeminism in PR’ (p. 44) to examine the ‘apparently progressive moves’ (Yeomans', 2020) by women's networking organisations. I analyse website texts from two women-only PR networking organisations – Women in PR and Global Women in PR – to explore the ways in which they construct their function, purpose and role, and to examine their position vis-à-vis the contemporary postfeminist media culture (Gill, 2007). The research takes a feminist, discourse analytic approach and sheds light on the reality of women in PR as constructed by organisations whose stated goal is to: ‘improve equality and diversity across the industry by increasing the number and diversity of women in leadership roles’ (Women in PR, 2022).

There is a growing mismatch between the skill demands of the industry and the offerings of academia. One way of reducing this mismatch is by improving collaborations between practitioners and instructors using web-networking platforms. However, it is important to understand practitioners’ considerations while collaborating with instructors. Therefore, this study identified these considerations in order to infer inputs for the design of the graphical user interface (GUI) of a web-based platform for connecting instructors and practitioners.

A mixed method was adopted through a survey and focus group. A survey was used to capture practitioners’ considerations while collaborating with instructors for student development, and a focus group helped uncover an in-depth understanding of the study phenomena. The data were analyzed using descriptive and inferential statistics and thematic analysis.

The results show the willingness of practitioners to collaborate with instructors for student development, the ways by which practitioners are willing to meet instructors' course-support needs and their considerations in deciding to do so. Slight differences were observed between the results of the survey and the focus group regarding the ranking of the practitioners’ considerations. The study highlighted demographic differences in practitioners’ considerations when deciding on meeting instructors' course-support needs. The results provide a basis to deduce the GUI inputs of web-networking platforms for connecting instructors and practitioners.

This study revealed practitioners’ design needs and GUI inputs to facilitate the design of web-networking platforms for connecting instructors and practitioners. This study also contributes to user interface design principles, theories on individual differences and practitioners’ involvement in student professional development.

This study aimed to identify subgroups of esports players based on their gaming behavior patterns across game genres and compare self-efficacy, social efficacy, loneliness and three dimensions of quality of life between these subgroups.

324 participants were recruited from prolific academic to complete an online survey. We employed latent profile analysis (LPA) to identify subgroups of esports players based on their behavioral patterns across genres. Additionally, a one-way multivariate analysis of covariance (MANCOVA) was conducted to test the association between cluster memberships and development and well-being outcomes, controlling for age and gender as covariates.

LPA analysis identified five clusters (two single-genre gamer groups, two multigenre gamer groups and one all-genre gamer group). Univariate analyses indicated the significant effect of the clusters on social efficacy, psychological health and social health. Pairwise comparisons highlighted the salience of the physical enactment-plus-sport simulation genre group in these outcomes.

This study contributes to the understanding of the development and well-being benefits experienced by various esports consumers, as well as the role of specific gameplay in facilitating targeted outcomes among these consumer groups.

The purpose of this study is to explore the influence of employee development programs on organizational commitment and its subsequent impact on employee turnover intention by considering individual differences for non-medical staff in a health-care institution in Lebanon. This study is relevant in understanding and addressing the brain drain phenomenon in the Lebanese health-care sector.

Correlational analysis and hierarchical regression were conducted to examine the relationships among employee development, organizational commitment and turnover intention. The study also made use of Process by Hayes to examine the existence of a moderated mediated relationship, which is the central point of this research.

Results indicate that when holding constant frequency of training, individuals high in commitment report a lesser intention to leave compared to those low in commitment. As a first-stage moderated mediation model is understood, this finding shows that the indirect effect of frequency of training on turnover intention through organizational commitment is moderated by individual differences.

The findings of this study, based on the human capital theory and social exchange theory, enhance our understanding of how employee development influences organizational commitment, predominantly in the context of Lebanon’s health-care sector grappling with brain drain. Additionally, by integrating both the self-determination theory and the expectancy theory, the study provides a new stance on how intrinsic motivational factors contribute to a better understanding of this complex relationship, especially considering the brain drain dilemma. This study addressed the gap in research studies that failed to explore the extent of the relationship between employee development and turnover intention by highlighting the importance of looking at the relationship as a moderated mediated type of relationship. The findings highlight the importance of organizations implementing the right development programs, as they yield higher levels of organizational commitment and subsequently decrease the intention to leave. This study is important for health-care organizations in Lebanon, suggesting a strategic approach to retain skilled professionals amidst ongoing migration challenges.

Taking the dialogic organizational development perspective, this study aims to investigate the framing processes when engaging in dialogue for strategy implementation and how these enable the evolution of implementation opportunities.

Through a qualitative exploratory study conducted in a large multinational, the authors analyse the dialogue and interactions among 25 dyads when identifying opportunities to contribute to strategy implementation. The data analysis relies on a process-coding approach and linkography, a valuable protocol analysis for identifying recursive interaction schemas in conversations.

The authors identify four main framing processes – shaping, unveiling, scattering and shifting – and provide a framework of how these processes affect individuals’ mental models through increasing the tangibility of opportunities or elevating them to new value hierarchies.

From a theoretical perspective, this study contributes to the strategy implementation and organizational development literature, providing a micro-perspective of how dialogue allows early knowledge structures to emerge and shape the development of opportunities for strategy implementation.

From a managerial perspective, the authors offer insights to trigger action and change in individuals to contribute to strategy when moving from formulation to implementation.

Rather than focusing on the structural control view of strategy implementation and the role of the top management team, this study considers strategy implementation as a practice and what it takes for organizational actors who do not take part in strategy formulation to enact and shape opportunities for strategy implementation through constructive dialogue.

This study aims to investigate the influences of perceived and preferred coaching behaviors and the discrepancy between them on job satisfaction, mediated by the quality of the relationship with the immediate supervisor and adaptive performance.

The research adopted a cross-sectional survey design. A total of 220 Korean employees, small-sized team members, were recruited from the automotive industry for the study. This research explored the relationship between perceived and preferred coaching behaviors using the Pearson correlation. Structural equation modeling was used to analyze the relationships among perceived and preferred managerial coaching behaviors, the discrepancy between them, the quality of the relationship with the immediate supervisor, adaptive performance and job satisfaction.

Perceived and preferred coaching behaviors exhibited a weak correlation. Perceived coaching behaviors indirectly influenced job satisfaction through the quality of the relationship with the immediate supervisor and adaptive performance. The discrepancy between perceived and preferred coaching behaviors directly and indirectly influenced job satisfaction via adaptive performance. However, all paths related to preferred coaching behaviors were found to be insignificant.

Although the results of this research may be generalized to the Korean automotive industry, the findings highlight perceived and preferred coaching behaviors and the discrepancy between them as independent variables. The findings shed light on the influences of managerial coaching on the quality of the relationship with the immediate supervisor within Korean workplace cultures and how coaching behaviors contribute to triggering subordinates’ adaptive performance. In addition, the study provides how managerial coaching influences job satisfaction in the workplace.

Based on the findings, an organization should cultivate self-directed learning environments to enhance employees’ adaptive performance. The coaching training session should be added to the leadership development program for new managers. Team leaders need to consider their members’ preferences during managerial coaching.

The variables, such as preferred coaching variables and the discrepancy between perceived and preferred coaching behaviors, along with the research framework, represent a novelty in managerial coaching, as well as within the Korean context.

Blockchain is a distributed ledger technology that uses cryptography to ensure transmission and access security, which provides solutions to numerous challenges to complex supply networks. The purpose of this paper is to empirically test the impact of blockchain implementation on shareholder value varying from internal and external complexity from the complex adaptive systems (CASs) perspective. It further explores how business diversification, supply chain (SC) concentration and environmental complexity affect the relationship between blockchain implementation and shareholder value.

Based on 138 blockchain implementation announcements of listed companies on the Chinese A-share stock market, the authors use event study methodology to evaluate the impact of blockchain implementation on shareholder value.

The results show that blockchain implementation has a positive impact on shareholder value, and this impact will be moderated by business diversification, SC concentration and environmental complexity. In addition, environmental complexity exerts a moderating effect on SC concentration. In the post hoc analysis, the authors further explore the impact of blockchain implementation on long-term operational performance.

This is the first research empirically examining the effect of blockchain implementation on shareholder value varying from internal and external complexity from the CASs perspective. This paper provides evidence of the different effects of blockchain implementation on short- and long-term performance. It adds to the interdisciplinary research of information systems (IS) and operations management (OM).