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This paper aims to examine the role of bullying victimization in predicting psychopathology, encompassing post-traumatic stress disorder (PTSD), risk of developing prodromal psychosis and emotional and behavioural problems, among in-school Nigerian adolescents.

A total of 351 junior secondary students (n = 173 males, 178 females; age range: 9–17 years) were recruited from five randomly selected public secondary schools in Nigeria. Students completed a variety of self-report measures, including a socio-demographic questionnaire, the prodromal questionnaire – brief version, the strengths and difficulties questionnaire (SDQ) and the multidimensional peer victimization scale. They were also interviewed using the PTSD module of the Mini International Neuropsychiatric Interview-Kid Version.

Although bullying victimization was not found to predict the presence of PTSD, it predicted the risk of developing prodromal psychosis. All SDQ subscales also held significant positive associations with bullying victimization. This indicates that higher levels of victimization are associated with increased behavioural and emotional difficulties among adolescents.

The study findings add support to whole system approaches involving relevant stakeholders in health, education, social and criminal justice sectors via protective policies to address the problems of bullying in schools.

The study contributes to evidence demonstrating a need for improved understanding regarding the role of exposure to bullying victimization in predicting various forms of psychopathology. Furthermore, there is specifically a need for research with this focus in developing countries in sub-Saharan Africa and the Nigerian education system.

The primary purpose of this study is to investigate the relationship between leader bottom-line mentality (BLM) and employee innovative behavior, which may be interpreted by employees’ perceived creativity expectations and moderated by employee time orientation.

A multi-wave and multi-source questionnaire survey with 259 paired Chinese employee–leader dyads provided data to test the theoretical model. Hypotheses were tested with Statistical Package for the Social Sciences (SPSS).

Consistent with hypotheses, leader BLM reduces employees’ perceived creativity expectations and thus inhibits employees’ innovative behavior, and this effect is stronger for employees with short-term orientation.

Our findings highlight the negative influences of leader BLM on innovative behavior and the buffering role of employees’ long-term orientation. Organizations may incorporate BLM in leadership promotion and evaluation and provide corresponding training for leaders to overcome BLM. In addition, long-term orientation can be a valuable indicator in employee recruitment and selection.

This study contributes to a new theoretical perspective of the Pygmalion effects for understanding leader BLM’s influence on employee innovative behavior.

This paper aims to develop a digital transformation model in hospitals. This study proposes a digital transformation model in hospitals by formulating dimensions and sub-dimensions. The proposed hospital digital transformation model outlines why and how each of dimensions and sub-dimensions are important in the hospital digital transformation model.

This study chose the type of qualitative research using a phenomenology approach. This study used observation techniques and in-depth interviews with 11 informants and conducted group discussion forums with information technology governance experts, a hospital information technology department manager who has an information technology background, and doctor representatives. The data were documented and analyzed using triangulation techniques.

This research provides empirical insights into the dimensions and sub-dimensions of hospital digital transformation models. The findings of the digital transformation dimension in hospitals are 7 dimensions and 37 sub-dimensions, namely, the governance and management dimension which has 8 sub-dimensions; the person has 9 sub-dimensions; strategy dimension which has 5 sub-dimensions; information technology capability has 3 sub-dimensions; the data interoperability dimension has 3 sub-dimensions; the data analytics dimension has 5 sub-dimensions; patient dimensions have 4 sub-dimensions; the findings of the sub-dimensions involved in the digital transformation dimension of the hospital can provide input on the accuracy of the indicators measuring the hospital’s digital transformation.

This research is limited to the qualitative type of phenomenology approach so that future research can test empirically with quantitative methods with techniques through surveys of dimensional and sub-dimensional relationships to hospital digital transformation. The researchers also recommend further assessing the findings of this paper which can develop as a model for measuring the maturity of hospital digital transformation.

This paper covers the implications of developing a hospital digital transformation model that can be used to organize and manage hospital digital transformation.

This paper can be used as a guideline for hospital stakeholders when carrying out digital transformation. This paper can be used as a reference for further research to find, study and develop dimensions and sub-dimensions of digital transformation models.

The purpose of the study is to investigate the impact of implementing anti-dumping duties on imported Australian wine to China in the short- and long-run, respectively.

First, the Difference-in-Differences (DID) method is used in this study to evaluate the short-run causal effect of implementing anti-dumping duties on imported Australian wine to China. Second, a Bayesian ensemble method is used to predict 2023–2025 wine exports from Australia to China. The disparity between the forecasts and counterfactual prediction which assumes no anti-dumping duties represents the accumulated impact of the anti-dumping duties in the long run.

The anti-dumping duties resulted in a significant decline in red and rose, white and sparkling wine exports to China by 92.59%, 99.06% and 90.06%, respectively, in 2021. In the long run, wine exports to China are projected to continue this downward trend, with an average annual growth rate of −21.92%, −38.90% and −9.54% for the three types of wine, respectively. In contrast, the counterfactual prediction indicates an increase of 3.20%, 20.37% and 4.55% for the respective categories. Consequently, the policy intervention is expected to result in a decrease of 96.11%, 93.15% and 84.11% in red and rose, white and sparkling wine exports to China from 2021 to 2025.

The originality of this study lies in the creation of an economic paradigm for assessing policy impacts within the realm of wine economics. Methodologically, it also represents the pioneering application of the DID and Bayesian ensemble forecasting methods within the field of wine economics.

The efficiency of each of an organization’s individual workers determines its effectiveness. The study aims to explore the relationship between human resource management (HRM) practices and organizational effectiveness with employee performance as a mediating variable.

Data were collected from 800 police officers in the Greater Accra and Tema regions. The data were supported by the hypothesized relationship. Construct reliability and validity was established through confirmatory factor analysis. The proposed model and hypotheses were evaluated using structural equation modeling.

The results show that career planning and employee performance were significantly related. Self-managed teams and employee performance were shown to be nonsignificantly related. Similarly, performance management and employee performance were shown to be nonsignificantly related. Employee performance significantly influenced organizational effectiveness. The results further indicate that employee performance mediates the relationship between HRM practices and organizational effectiveness.

The generalizability of the findings will be constrained due to the research’s police service focus and cross-sectional data.

The study’s findings will serve as valuable pointers for the police administration in the adoption, design and implementation of well-articulated and proactive HRM practices to improve the abilities, skills, knowledge and motivation of officer’s to inordinately enhance the effectiveness of the service.

By evidencing empirically that employee performance mediates the relationship between HRM practice and organizational effectiveness, the study extends the literature.

Based on social exchange theory and self-determination theory, this study explores the influence mechanism of empowering leadership on employees’ creative deviance and innovation performance.

The data were collected from 312 employees on Internet and other high-tech corporation in China. Hierarchical linear regression models and bootstrapping analysis outlined by Hayes were used to test the hypotheses.

Empowering leadership is positively correlated with employees’ innovation performance (EIP), and employees’ creative deviance plays an intermediary role in the above relationship. Power distance positively moderates the relationship between empowering leadership and employees’ creative deviance. Time pressure moderates the moderating effect of power distance on empowering leadership and employees’ creative deviance.

This study advances the empowering leadership and employees’ innovation performance by establishing creative deviance as the mediator. This study is also helpful to clarify the role of time press and power distance as boundary condition in the relationship between empowering leadership and employees’ creative deviance, which have certain reference significance for organization practices.

This paper aims to develop a framework for the bioaccounting measurement of environmental assets based on natural wealth sustainability. Specifically, this paper proposes a theoretical structure for qualitative and quantitative organization-level assessments of the existence and circulation of water, air, wildlife, flora, soil and subsoil resources.

This research used an inductive method with a qualitative and quantitative approach. The authors postulate a systemic and comprehensive bioaccounting measurement of environmental assets, including heterogeneous and homogeneous methods and quantitative and qualitative valuations of the resources that comprise environmental assets.

The authors describe a theoretical structure for the bioaccounting measurement of environmental assets based on the sustainability of natural wealth through heterogeneous and homogeneous measurement methods and show how to integrate these assets through an homogeneous method.

The development of this general theoretical structure will require the integration of theoretical, conceptual and technical developments from multiple disciplines. The authors hope that the scientific community will evaluate and study this proposal for faster progress towards its practical implementation in organizations.

The authors structured the bioaccounting measurements, which are presented individually for each class of environmental assets. Each of these assets requires subcategories (accounts, subaccounts and resources) and recognition/measurement units. Environmental value units (EVUs) are used to standardize the plurality of measurement units.

Due to the current pandemic, the importance of logistics functions and decisions is well understood both at the level of companies and users. Logistics systems and related decisions are of vital importance in making supply chains effective, efficient and without disruption. Logistic pressure factors may emerge at different points along the logistics process, and given the role of logistics decisions as one of the important indicators of competitiveness, the determination of the logistics pressures that are likely to increase the costs of business, and their causative factors are a vital aspect of the logistics decision-making process. The study aims to provide assistance in the selection of the most ideal logistics decision by ranking the pressure factors affecting the logistics system, especially during the pandemic period for logistics enterprises operating in Ordu and Giresun provinces and which have a corporate identity.

In this study, it is aimed to make the most ideal logistics decision selection by ranking the pressure factors affecting the logistics system, especially during the pandemic period for the logistics enterprises operating in Ordu and Giresun provinces and having a corporate identity. For that purpose interval-valued Pythagorean fuzzy (IVPF)–analytic hierarchy process (AHP) based combinative distance-based assessment (CODAS) methodology was used. Additionally sensitivity and comparison analysis were discussed.

Competitive pressure was found as the most important pressure factor affecting the logistics system during the pandemic period. Change in regulatory rules was the pressure factor found to have the least effect on the logistics system. Using the weights of logistics pressure factors, “Operational Decisions” was found to be the most ideal logistics decision selection.

The findings provide support for the evaluation of logistical pressures and decision options by presenting a decision model capable of processing ambiguous information. During a pandemic or similar period, the study assists decision makers in determining a new route. The findings will also call business managers' attention to logistical pressure factors and lead them toward more realistic and feasible practices in the logistics decision-making process.

This study provided an effective and applicable solution to a decision-making problem in the logistics sector including logistics pressure factors and the selection of logistics decisions. In this context, a methodology was presented that will allow businesses to self-evaluate their own logistics pressure factors and the selection of optimal solutions.

With the recent increasing relevance of sustainability, multinational enterprises are faced with divergent stakeholder demands and persistently shifting priorities. This study aims to examine stakeholders’ perceptions of the sustainability performance of a gold mining subsidiary in Ghana.

Using a purposive sampling technique, the authors interviewed managers and employees of the case enterprise, officials of regulatory institutions and host community members on their perceptions of the case enterprise’s sustainability performance. The authors triangulated the opinions expressed by these stakeholders with data from annual reports. The data were analysed through the lens of stakeholder theory.

The authors found that while members of the host community and the regulatory institutions were keenly interested in the case enterprise’s social and environmental activities, they perceived their performance as unimpressive, considering the economic benefits derived from the mining operations. On the contrary, the managers and employees of the case enterprise were satisfied with their environmental compliance and social intervention programmes, even though the company’s economic position had declined. The authors submit that the variations in the sustainability performance perceptions among the stakeholders are due to the lack of a deeper understanding of the other stakeholders’ expectations.

To equitably satisfy diverse stakeholder expectations, the study highlights the role of stakeholder collaborations in understanding the expectations of more salient stakeholder groups such as community members and employees, as well as the lesser salient groups such as academics. It also demonstrates the fluidity of sustainability and its benefits in designing a consensual sustainable management strategy. This implies that managers of the case mining enterprise make the necessary efforts to meet the diverse stakeholder needs while attaining their primary objective of creating wealth for shareholders.

Compared to advanced economies, studies on sustainability performance in emerging economies are limited. Nonetheless, these limited studies leave out stakeholder perceptions, focusing more on quantitative performance indicators. Using thematic and content analyses, the authors investigate stakeholder perceptions on the sustainability performance of a case mining subsidiary operating in Ghana. The study focused on Ghana because it is ranked with South Africa as the top two producers of gold in Africa. Nonetheless, unlike South Africa, Ghana faces more sustainability challenges from the mining sector due to weak institutions in enforcing sustainability standards.

This study aims to investigate the impact of foreign direct investment (FDI) on national digital capability, specifically differentiating the impact between FDI greenfield and mergers and acquisitions (M&A). The research also investigates factors shaping digital capabilities, encompassing government transparency and absorptive capability, while exploring the mediating influence of absorptive capability in the FDI–digital capability relationship.

An econometric model has been developed to examine the interrelationship between national digital capability, FDI inflows, national absorptive capability and government transparency. The data set encompasses 55 countries over a period of nine years (2013–2021). National digital capability data is derived from the well-established index published by the World Competitive Centre (WCC). The sources of the explanatory variables align with standard practices, drawing from reputable institutions (UNCTAD and the World Bank, among others).

The findings reveal a significant positive impact of FDI, particularly in greenfield investments, on national digital capability. Government transparency and research and development (R&D) investment are crucial factors contributing to digital capabilities. Additionally, the absorptive capacity, reflected by R&D investment, also emerges as a potential moderating factor, influencing the impact of FDI inflows on digital capabilities.

The results recommend that policymakers and stakeholders should carefully consider the role of FDI, especially in greenfield investments, as a catalyst for enhancing national digital capability. The findings also underscore the significance of promoting government transparency and directing investments towards R&D to nurture digital capabilities. Moreover, understanding the mediating role of absorptive capability can inform strategies aimed at optimizing the impact of FDI on digital capabilities.

This study contributes uniquely to the existing literature by being the first to systematically explore the influence of FDI on national digital capability. Furthermore, it presents innovative empirical findings on the role of absorptive capability in enhancing the FDI impact on national digital capability, an area that remains relatively uncharted in current literature.