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The primary purpose of the study was to explore the impact of health workers’ awareness of artificial intelligence (AI) on their workplace well-being, addressing a critical gap in the literature. By examining this relationship through the lens of the Job demands-resources (JD–R) model, the study aimed to provide insights into how health workers’ perceptions of AI integration in their jobs and careers could influence their informal learning behaviour and, consequently, their overall well-being in the workplace. The study’s findings could inform strategies for supporting healthcare workers during technological transformations.

The study employed a quantitative research design using a survey methodology to collect data from 420 health workers across 10 hospitals in Ghana that have adopted AI technologies. The study was analysed using OLS and structural equation modelling.

The study findings revealed that health workers’ AI awareness positively impacts their informal learning behaviour at the workplace. Again, informal learning behaviour positively impacts health workers’ workplace well-being. Moreover, informal learning behaviour mediates the relationship between health workers’ AI awareness and workplace wellbeing. Furthermore, employee learning orientation was found to strengthen the effect of AI awareness on informal learning behaviour.

While the study provides valuable insights, it is important to acknowledge its limitations. The study was conducted in a specific context (Ghanaian hospitals adopting AI), which may limit the generalizability of the findings to other healthcare settings or industries. Self-reported data from the questionnaires may be subject to response biases, and the study did not account for potential confounding factors that could influence the relationships between the variables.

The study offers practical implications for healthcare organizations navigating the digital transformation era. By understanding the positive impact of health workers’ AI awareness on their informal learning behaviour and well-being, organizations can prioritize initiatives that foster a learning-oriented culture and provide opportunities for informal learning. This could include implementing mentorship programs, encouraging knowledge-sharing among employees and offering training and development resources to help workers adapt to AI-driven changes. Additionally, the findings highlight the importance of promoting employee learning orientation, which can enhance the effectiveness of such initiatives.

The study contributes to the existing literature by addressing a relatively unexplored area – the impact of AI awareness on healthcare workers’ well-being. While previous research has focused on the potential job displacement effects of AI, this study takes a unique perspective by examining how health workers’ perceptions of AI integration can shape their informal learning behaviour and, subsequently, their workplace well-being. By drawing on the JD–R model and incorporating employee learning orientation as a moderator, the study offers a novel theoretical framework for understanding the implications of AI adoption in healthcare organizations.

This paper aims to managerial decision styles, following the General Decision-Making Style Inventory, as potential predictors of individual bias awareness and bias blind spots, with a focus on the rational decision style.

The research is based on a survey of 500 C-1 level managers within Forbes 2000 companies. It explores their decision styles and their assessments of their own and others’ decision behavior.

The results show that the awareness of one’s own susceptibility to biases and bias blind spots is highly dependent on an individual’s (self-declared) decision style and type of cognitive bias; decision-makers with a strong tendency toward a rational or spontaneous decision style see themselves as less vulnerable to cognitive biases but also show a much stronger bias blind spot than those with a tendency toward other decision styles. Meanwhile, decision-makers with a strong tendency toward an intuitive decision style tend to recognize their own vulnerability to cognitive biases and even show a negative blind spot, thus seeing themselves as more affected by cognitive biases than others.

To date, decision styles have not been used as a lens through which to view susceptibility to cognitive biases and bias blind spots in managerial decision-making. As demonstrated in this article, decision styles can serve as predictors of individual awareness and susceptibility to cognitive biases and bias blind spots for managers.

This study examines identity theft as a significant and growing issue in Australia, not only due to its financial impact but also because of the emotional, psychological, and physical harm it causes, making it a public health concern. This study aims to analyse the results of the 2019 Australian Institute of Criminology (AIC) survey to identify factors associated with an increased likelihood of identity theft victimisation.

This study involved a detailed analysis of the 2019 AIC survey, which had 9,968 respondents from a sample of 10,000. The research focused on whether respondents had ever been victimised by identity theft and analysed various characteristics, including demographics (gender, age, Indigenous status, education), income, computer usage, and preventive technology use, as potential indicators of future victimisation. Univariate analyses (chi-squared test and two-sample t-test) were used to assess individual associations, whereas a multivariate analysis (logistic regression) identified significant predictors of victimisation.

The univariate analyses indicated that all sub-variables were individually associated with identity theft victimisation. However, the multivariate analysis revealed that only identifying as Aboriginal and Torres Strait Islander, having an income between $18,201 and $37,000, and using multiple preventive technologies were significant predictors of victimisation. The unexpected finding that increased preventive technology use correlates with a higher risk of victimisation contradicts the survey’s suggestion that victims adopt more careful behaviour post-victimisation.

The research highlights the need for further investigation into the counterintuitive finding that greater use of preventive technologies may increase the risk of identity theft. Understanding this discrepancy could inform the development of more effective identity theft prevention strategies by the government and related agencies.

This study contributes to the existing literature by offering a nuanced understanding of the factors associated with identity theft victimisation in Australia that may be applicable globally. The unexpected findings regarding the use of preventive technologies provide a basis for further research and have the potential to influence future policymaking and identity theft prevention efforts.

We aim to explore the role of the interplay between intuition and rationality in the causation-effectuation decision-making processes of small creative businesses during their international expansion.

We developed process research to investigate the causation-effectuation decision-making processes during the internationalization of a creativity-intensive small business located in Brazil. In just three years, its cartoon reached screens in 80 countries.

We discovered an orthogonal relationship between causation and effectuation moderated by the balance between intuition and rationality, enabling small creative businesses to successfully navigate internationalization by adapting to contractual demands and exploring creative opportunities. To explain these relationships, we offer five process-based propositions for further studies.

We reconstructed the internationalization process based on retrospective interviews, so eliminating all biases from rationalization may have been impossible. We elucidate the interrelationship between causation-effectuation decision-making logic and demystify that decision-making effectuation logic is predominantly intuitive. We provide evidence that rational thinking permeates the entire decision-making process as a process of building the future.

Understanding causation-effectuation decision-making processes in creativity-intensive small businesses can be helpful for other businesses because they nurture production on a large scale.

The study emphasizes the importance of creativity-intensive small businesses to countries’ economies. Creativity-intensive businesses grow in other industries and generate many jobs in mature industries.

We demystify the decision-making assumption that effectuation logic is predominantly intuitive while causation logic is rational. Instead, we show that these logics coexist and interact orthogonally and dynamically.

The popularity of Management Control Systems (MCS) has increased due to rising uncertainty in business operations. They help companies implement strategies, manage information and incentivize managers with common goals. Therefore, the research aims to take stock of the evolution of studies on MCS adoption, identifying trends and future avenues.

While a few systematic literature reviews have investigated the implications of MCS adoption amid specific contexts, a comprehensive bibliometric analysis of the whole research stream is lacking. Consequently, our study analyzes relevant scientific literature on the topic of MCS from 1970 to 2022, through the use of VOSviewer, R Bibliometrix and Latent Dirichlet Allocation to visualize the bibliometric results.

The study provides a comprehensive overview of key emerging topics in MCS literature and the ways in which they have developed over the decades, along with a structured research agenda built upon the literature gaps found amid current and past scientific production. It does so by analyzing scientific production from multiple bibliometric aspects and advanced text-mining techniques to extract common emerging themes from the dataset.

To the best of the authors’ knowledge, no attempt has yet been made to synthesize MCS literature through a bibliometric review. The bibliometric perspective on MCS enhances scholars' understanding of the historical path and future trends of the literature stream, while helping practitioners update existing MCS conceptualizations in light of contemporary changes.

We integrate trait, individual differences and substitutes for leadership theories to examine how leader trait anger influences leader vision and follower trust in the leader across high versus low levels of organizational formalization.

We obtained data from two independent multi-source samples from different occupations and countries. Sample 1: leader–follower dyads (n = 179) collected over three measurement periods from the Philippines; Sample 2: cross-correlational sample of leaders (n = 166), their manager (n = 166) and their followers (n = 610) from Australia.

We tested our hypotheses using PROCESS (Hayes, 2018) and found that leader trait anger influenced follower trust in the leader both directly and indirectly through leader vision (Samples 1 & 2). We also found that organizational formalization neutralized the effect of leader vision on follower trust in the leader (Sample 2).

While we used a time-lagged design in Sample 1, we cannot make strong causal claims as might be the case in an experimental study, for example.

Our results highlight the adverse effect of leader trait anger on perceptions of leader vision and follower trust in the leader, which we suggest should be considered in recruitment and promotion decisions. Our findings also suggest that high levels of organizational formalization may undermine the motivational effect of leader vision on followers, which should be considered in relation to organizational rules and procedures.

This research enhances our understanding of a previously unexplored boundary condition (i.e. organizational formalization) that appears to neutralize the motivational effect of leader vision. In addition, it highlights the ubiquitous effect of trait anger, in this case undermining the effectiveness of leader vision and trust in the leader, from two different observer perspectives (i.e. leaders’ followers and managers).

This study aims to show how configurations of the institutional environment, client expectations and fiduciary duty influence private equity (PE) managers in integrating environmental, social and governance (ESG) aspects into the investment decision-making process.

The research design combined bibliographic and documentary analysis (including the regulatory framework and secondary sector data) with a phenomenological approach, supported by interviews with managers of PE firms and content analysis.

The findings revealed the impact of the sociocultural environment on the adoption of ESG practices in investment decisions, the perception of international pressures to embrace ESG principles that differ from national needs, and the diversification of strategies implemented due to excessive regulation.

The study’s uniqueness lies in both the phenomenological approach used to comprehend how concerns about ESG practices influence PE fund investment decisions and the identification of factors not typically emphasized in the literature as moderators of this decision-making process.

This study aims to propose and assess a model with the main elements influencing Brazilian agtech scalability with the aim of supporting the scalability process of startups that find themselves in the stage of initial conception of the business model.

The research was conducted using the design science research (DSR) method. The data for assessing the proposed model were collected through in-depth interviews. The answers were analyzed quantitatively, using descending hierarchical classification (DHC), correspondence factor analysis (CFA), and level of agreement; and qualitatively, using content analysis.

Considering the Brazilian context, the objective, environmental, structural, and evaluative dimensions presented positive characteristics for the main criteria analyzed (operational viability, generality, clarity, adaptation to the reality studied, completeness, consistency, comprehensibility, and structural simplicity). Specific improvements were proposed in all the criteria analyzed.

The artifact can be considered a strategic guide for agtechs that have yet to overcome the barrier of initial conception of the business model. The model enables the identification of the main problems that agtechs can encounter in their life cycle, as well as seeking solutions in advance.

Purpose: The main purpose of the undertaken research is to analyse the effects induced by the specific coordinates of circular economy (CE), environment, and sustainability on the ASEAN-5 countries by assessing the economic dynamics in the context of this transition.

Methodology: The research methodology focuses on robust regression (RREG) models and Gaussian graphical models (GGMs) applied to panel data, including a complex set of fundamental macroeconomic aggregates as variables. Indicators were compiled for the ASEAN-5 member states: the Philippines, Indonesia, Malaysia, Singapore, and Thailand, over the period 2000–2023, including International Monetary Fund projections for the period 2024–2028.

Findings: The results highlight the importance of environmental coordinates in modelling the sustainable economic development of the ASEAN countries. Significant positive developments in the transition to a CE have been recorded with the end of the pandemic period, but fluctuations in carbon dioxide emissions (CO₂_EMIS) are still present. Although values have fallen by almost 30% compared to the last decade, countries have failed so far to ensure a downward trend.

Significance/Implications/Conclusions: To bring about change, ASEAN-5 countries should focus on implementing a CE framework, enforcing stricter measures, and raising awareness among the population.

Limitations: The current research encountered certain limitations primarily due to the lack of data availability and the restricted sample of indicators.

Future Research: Innovation, digitalisation, and adopting emerging technologies are indispensable in expediting diverse processes. These facets are fundamental in the assimilation and institutionalisation of CE principles and signify the future trajectory of research.

Purpose: This study examines the integration of smart agriculture and supply chain management systems within Turkey’s agricultural sector under Industry 5.0.

Need for the study: With global challenges like the COVID-19 pandemic and climate change, ensuring safe food production and accessibility is critical. However, there is a gap in understanding the readiness and awareness of Industry 5.0 technologies in agriculture and logistics. This study aims to fill this gap by investigating the adoption and implications of smart agriculture and logistics in Turkey.

Methodology: Drawing on secondary data from regulators, farmers, and supply chain experts, this study employs coding methods, particularly theoretical coding, to develop a framework for assessing the sector’s readiness for smart technologies and Industry 5.0 awareness.

Findings: This study reveals insights into the adoption and impacts of smart agriculture and supply chain systems in Turkey. It identifies factors shaping institutional logics within the sector and explores how Industry 5.0 technologies influence these logics. Additionally, it offers theoretical insights into Turkey’s agricultural future in the Industry 5.0 era.

Practical implications: Practically, this study informs policymakers, regulators, farmers, and supply chain stakeholders about Industry 5.0 technology readiness and awareness in Turkey’s agricultural sector. It guides strategies for smart technology adoption, improving productivity, food safety, accessibility, and sustainability. Furthermore, it contributes to institutional logics literature, shedding light on the independent logics driving organizational settings in smart agriculture and supply chain management.