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This study aims to examine foreign direct investment (FDI) factors and develops a rational framework for FDI inflow in Western European countries such as France, Germany, the Netherlands, Switzerland, Belgium and Austria.

Data for this study were collected from the World development indicators (WDI) database from 1995 to 2018. Factors such as economic growth, pollution, trade, domestic capital investment, gross value-added and the financial stability of the country that influence FDI decisions were selected through empirical literature. A framework was developed using interpretable machine learning (IML), decision trees and three-stage least squares simultaneous equation methods for FDI inflow in Western Europe.

The findings of this study show that there is a difference between the most important and trusted factors for FDI inflow. Additionally, this study shows that machine learning (ML) models can perform better than conventional linear regression models.

This research has several limitations. Ideally, classification accuracies should be higher, and the current scope of this research is limited to examining the performance of FDI determinants within Western Europe.

Through this framework, the national government can understand how investors make their capital allocation decisions in their country. The framework developed in this study can help policymakers better understand the rationality of FDI inflows.

An IML framework has not been developed in prior studies to analyze FDI inflows. Additionally, the author demonstrates the applicability of the IML framework for estimating FDI inflows in Western Europe.

The institutional conditions of primary care provision remain understudied in low- and middle-income countries. This study analyzes how primary care doctors cope with medical uncertainty in municipal clinics in urban India. As street-level bureaucrats, the municipal doctors occupy two roles simultaneously: medical professional and state agent. They operate under conditions that characterize health systems in low-resource contexts globally: inadequate state investment, weak regulation and low societal trust. The study investigates how, in these conditions, the doctors respond to clinical risk, specifically related to noncommunicable diseases (NCDs).

The analysis draws on year-long ethnographic fieldwork in Pune (2013–14), a city of three million, including 30 semi-structured interviews with municipal doctors.

Interpreting their municipal mandate to exclude NCDs and reasoning their medical expertise as insufficient to treat NCDs, the doctors routinely referred NCD cases. They expressed concerns about violence from patients, negative media attention and unsupportive municipal authorities should anything go wrong clinically.

The study contextualizes street-level service-delivery in weak institutional conditions. Whereas street-level workers may commonly standardize practices to reduce workload, here the doctors routinized NCD care to avoid the sociopolitical consequences of clinical uncertainty. Modalities of the welfare state and medical care in India – manifest in weak municipal capacity and healthcare regulation – appear to compel restraint in service-delivery. The analysis highlights how norms and social relations may shape primary care provision and quality.

This study aims to examine the effect of professional commitment, commitment to ethics, internal locus of control and emotional intelligence on the ability to detect fraud through reduced audit quality behaviors.

The analysis unit is the internal auditor in internal control unit at state Islamic religious higher education in Indonesia. Data processing used covariance-based structural equation modeling using Lisrel Software and the Sobel test to verify the direct and indirect effects.

This study found empirical evidence that professional commitment and emotional intelligence positively impact the ability to detect fraud. Commitment to ethics and emotional intelligence has a negative effect on reduced audit quality behaviors. Furthermore, this study also provides that commitment to ethics and emotional intelligence indirectly impacts on the ability to detect fraud through reduced audit quality behaviors.

The organization periodically monitors auditors’ behaviors, especially reduced audit quality behaviors, during the audit process and encourages regulators to formulate policies related to increasing the ability to detect fraud.

This study provides knowledge regarding the driving force of internal auditors to mitigate reduced audit quality behaviors and increase the ability to detect fraud.

The e-learning-based approach is critical in keeping the wheels of education turning in the face of the COVID-19 epidemic. In this scenario, analyzing the implementation of the e-learning system is required to properly grasp the needs. The purpose of this paper is to demonstrate the relationship between technical system quality, information quality, service quality, educational system quality, support system quality, learner quality, instructor quality, perceived satisfaction, perceived usefulness, e-learning system use and benefits.

This study was carried out by giving online questionnaires to students attending private institutions in Indonesia. A total of 593 students participated in the study and provided responses. The structural equation model, which is supported by the program WarpPLS7.0, is used to analyze the data.

Maintaining the quality of the technological system, the information system, the learners and the educational system can help achieve the goal of increasing perceived utility. In the meanwhile, factors such as inadequate service quality, educational system quality, support system quality and teacher quality can all pose challenges to perceived levels of satisfaction. To get the most out of e-learning apps, users' expectations about how fun, useful and easy to use they are need to be met.

This study was carried out in the midst of the COVID-19 epidemic with a restricted number of participants from Indonesian institutions of higher education. This research has the potential to be expanded into a variety of different types of higher education in the future.

The main thing that will determine whether an e-learning system model works is the quality of the learners.

The institution should think about changing the material offered in the e-learning system to make it easier for students to grasp by describing the current material and providing digital handouts of lecturers' explanations. This study expanded the e-learning system success model and applied it to the evaluation of e-learning deployment in Indonesian higher education. This study will improve student comprehension of the e-learning model and contribute to the body of knowledge about e-learning applications and technology.

This paper aims to investigate the impact of gender diversity in the composition of engagement auditors on the disclosure of key audit matters (KAMs) in a dual-signature environment.

The authors used the unique institutional setup of Taiwan, where the law requires that audit reports be signed by two audit partners. The authors examined the effect of gender diversity composition among engagement auditors on KAM disclosure, considering behavioral differences between female and male auditors.

The empirical results indicate that gender diversity composition in the dual-signature environment is associated with the number of disclosed KAM items (KAMIT) and the length of the explanations for each KAMIT. Furthermore, the authors found that gender diversity composition, particularly when led by female audit partners, has a more pronounced impact on the explanation of each KAMIT rather than on the disclosure of KAMIT. The authors also noted that the moderating effect of audit firm specialization does not influence the gender diversity composition of audit partners in disclosing KAMs.

This study’s empirical findings demonstrate that the interaction between different gender compositions in a dual-signature environment influences KAM disclosure.

In this study, the service quality of an automobile authorized service center was investigated based on the European Customer Satisfaction Index (ECSI) model. The ECSI model includes image, customer expectations, perceived quality, perceived value, customer satisfaction, customer complaints and customer loyalty.

In the study, an attempt was made to improve the ESCI model by adding the trust factor as a moderating variable. After an extensive literature review, measurement questions were developed to best represent the factors in the research model. Partial least squares structural equation modeling (PLS-SEM) was used to test the fit of the research model and test the hypotheses.

As a result of the analysis, only one of the 13 hypotheses tested was not supported. According to the results of hypothesis testing, the highest effect was found in the relationship between customer satisfaction customer complaints, customer expectations and perceived quality. In addition, customer expectations affect customer satisfaction indirectly rather than directly. In this case, customer expectations, perceived value and perceived quality influence customer satisfaction.

The customer satisfaction quality index score of the authorized automobile service whose service quality was measured was calculated as 72.75. Although customers were generally satisfied with the authorized service, their expectations were not fully met.

In the study, an attempt was made to improve the ECSI model by adding a trust factor. Trust, which was added to the model as a moderator variable, fit the model. As a result, it was revealed that trust has an increasing regulatory effect on the relationship between perceived quality and customer satisfaction.

The Russian invasion of Ukraine in February 2022 has led to the displacement of many Ukrainians. The purpose of this study is to investigate the relationship between their contact with Dutch society and their mental health. To this end, 136 adult, mostly female, displaced Ukrainians in the Netherlands participated in an online survey to investigate the relationship between quality of host national contact and mental health, as moderated by quantity of host national contact. The survey had a Ukrainian, Russian and English version, and it consisted of single questions assessing various variables, including quality of host national contact, quantity of host national contact, amount of discrimination/prejudice as well as five questions assessing mental health (Mental Health Inventory 5 [MHI-5]; Berwick et al., 1991). Contrary to the hypotheses, no interaction was found between quality of host national contact and quantity of host national contact, and quality of host national contact did not have a significant main effect on mental health. However, there is a significant, yet nonlinear main effect of quantity of host national contact on mental health. Moreover, there is a significant correlation between quality of host national contact and quantity of host national contact. Finally, and interestingly, there is a positive relationship between the amount of discrimination/prejudice and mental health among people who chose to fill out the Ukrainian version of the survey. These results provide a nuanced view of the relationship between the host environment and mental health, and governmental policies should take into account the complexity of this relationship.

A total of 161 displaced, mostly female (90.40%), Ukrainians in the Netherlands with the average age of 35 agreed to participate in this online survey. The main variables measured were mental health (dependent variable), quality of host national contact (independent variable 1) and quantity of host national contact (independent variable 2/moderator). Additional variables, such as the level of perceived discrimination/prejudice, have been included in the analyses. The survey was available in three different languages: Ukrainian, Russian and English.

In this study, the role of host national contact in the mental health of displaced Ukrainians in the Netherlands was investigated. The results showed that there was no interaction between quality of host national contact and quantity of host national contact in the prediction of mental health. Moreover, quality of host national contact did not predict mental health. Thus, both of the (preregistered) hypotheses of this study were refuted. However, the amount of perceived discrimination/prejudice turned out to be linked to mental health. Surprisingly, the amount of perceived discrimination/prejudice predicted higher mental health scores among participants who chose to fill out the survey in Ukrainian. Moreover, of the respondents included in the analysis, 94.85% gave reason for mental health concerns, as expressed by a converted MHI-5 score below 60.

Even though this study does show a positive relationship between the level of discrimination/prejudice and mental health among displaced Ukrainians who filled out the Ukrainian version of the survey, it does not offer a definite explanation for why this seemingly unexpected result occurred. No causal conclusions can be drawn based on this study regarding the relationship between host national contact and mental health.

The results of this study show that certain occurrences in the contact with host society members relate to mental health in unexpected and seemingly complex ways. This might mean that this study has potential for nuancing the current scientific knowledge regarding the relationship between host national contact and mental health. Such nuances might be quite important, as scientific research often forms the basis for governmental policies aimed at improving the mental health of displaced people. Therefore, governmental policymakers should be aware of the fact that there is no easy, clear-cut answer yet to the complex host society factors that play a role in the mental health of various displaced groups. Moreover, an investigation of the role of host national contact might lead to valuable knowledge about factors that contribute to the mental health of refugees. As has been said, refugees are at risk of developing various mental health issues, so they might need help managing their mental health. To this end, policymakers might need evidence-based information to develop interventions targeted at specific refugee groups. By investigating the mental health of displaced Ukrainians in the Netherlands, new insights will be gained to optimize mental health care for this particular refugee group.

This study yields important information regarding the degree of participation and inclusion of displaced Ukrainians in Dutch society, which can inform policies targeted at improving the experiences of this new displaced group. Because displaced Ukrainians have to deal with the mental health consequences of war and displacement, they might be particularly in need of a safe haven in which they feel included.

To the best of the author’s knowledge, this is the first study in which the role of the host society context in the mental health of displaced Ukrainians in the Netherlands is assessed. The results are quite unexpected and can nuance the current research on the link between discrimination and mental health. Moreover, this study can inspire future research to be conducted in the reasons behind this nuance, by researching the role of identity and uncertainty. Also, the author believes that this study is particularly suitable for this journal because it really looks at the link between social inclusion in the Dutch context and mental health outcomes.

This study aims to investigate the process of developing loyalty in the Chinese mobile health community from the information seeking perspective.

A covariance-based structural equation model was developed to explore the mobile health community loyalty development process from information seeking perspective and tested with LISREL 9.30 for the 191 mobile health platform user samples.

The empirical results demonstrate that the information seeking perspective offers an interesting explanation for the mobile health community loyalty development process. All hypotheses in the proposed research model are supported except the relationship between privacy and trust. The two types of mobile health community loyalty—attitudal loyalty and behavioral loyalty are explained with 58 and 37% variance.

This paper has brought out the information seeking perspective in the loyalty formation process in mobile health community and identified several important constructs for this perspective for the loyalty formation process including information quality, communication with doctors and communication with patients.

The problem of environmental pollution is becoming increasingly severe, and international consensus confirms the need for eco-friendly consumption. Worldwide, the eco-friendly food market is booming, so understanding consumers’ motivations to purchase these foods is crucial. This paper aimed to construct a model explaining consumers’ intentions to purchase eco-friendly food by combining stimuli-organism-response (SOR) and signalling theories and exploring the mechanisms by which macro- and micro-signals impact perceptions of value and consumers’ subsequent willingness to purchase eco-friendly food.

An online questionnaire was distributed through the Qualtrics platform, and the completed questionnaires were collected in March and April 2023. The study used partial least squares structural equation modelling (PLS-SEM) to analyse the 331 valid responses received.

The results indicated that trustworthy eco-labels for high-quality and health-promoting products, as conveyed in macro signals, significantly enhanced consumers’ perceptions of functional value. The peer effect and a moderate level of food anthropomorphism conveyed in micro-signals substantially improved their perceptions of social value, whilst the perceived value of products significantly and positively influenced their purchase intentions.

This study explains consumers’ motivations to purchase eco-friendly products. This provides an explanation for the effect of macro- and micro-signals on value perceptions. By integrating the different dimensions of these signals to create a unified research perspective, the paper provides an integrated model, thereby filling a research gap concerning the influence of two-dimensional signals on purchase intention. By supporting eco-friendly food use, the paper contributes to environmental protection and sustainable development.