Eurasian Academy of Sciences Eurasian Business & Economics Journal

WHEN FOREIGN INVESTMENT TURNS BROWN: FDI AND RENEWABLE ENERGY CONSUMPTION IN TURKIC REPUBLICS

İlkut Elif Kandil Göker, Nimet Varlık, Nadide Gülbay Yiğiteli — Tue, 10 Mar 2026 00:00:00 +0000

This study examines the effect of foreign direct investment (FDI) inflows on the share of renewable energy consumption in total energy consumption in six Turkic Republics (Turkey, Azerbaijan, Kazakhstan, Kyrgyzstan, Uzbekistan, and Turkmenistan) during the period 2000–2023 using panel data analysis. The empirical findings show that an increase in per capita gross domestic product increases the share of renewable energy consumption, whereas FDI inflows decrease the share of renewable energy consumption. The findings reveal that FDI directs the energy portfolio towards fossil fuel-intensive sectors and confirms the Pollution Haven Hypothesis for the developing countries covered in the study. The study's original contribution to the literature is twofold. First, it is one of the first studies to examine the relationship between FDI and renewable energy specifically in the Turkic Republics. Second, in addition to existing studies that mostly focus on the effects of FDI on economic growth, it sheds light on the integration of energy policies and foreign investment strategies by addressing the dimension of renewable energy consumption.

THE RELATIONSHIP BETWEEN MINDFULNESS AND ORGANIZATIONAL RESILIENCE: A STUDY ON PORT WORKERS IN THE MARMARA REGION

Hakan Alp, Gönül Kaya Özbağ — Tue, 10 Mar 2026 00:00:00 +0000

This study aims to examine the impact of the mindfulness levels of individuals working in ports operating in the Marmara Region on organizational resilience. Although there are studies in the literature addressing the relationship between mindfulness and organizational resilience in different sectors, there has been no research examining these two variables in the context of port workers. Therefore, this study provides a significant contribution to the field by offering a perspective specific to the maritime sector. Data were collected through a survey from a total of 459 participants working in 15 ports located in the Marmara Region. Descriptive data were analyzed using IBM SPSS Statistics 27.0 software, while other analyses were conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM) through the SmartPLS (Version 4.1.1.1) statistical software. The results showed that mindfulness significantly explained organizational resilience (R² = 0.400; β = 0.632; p < 0.05). These findings suggest that individuals with a high level of mindfulness may become more resilient to institutional challenges, and this situation could enhance organizational resilience. The results of the study provide important insights for human resource management experts and strategy developers in the context of organizational resilience and corporate sustainability.

Human Robot Interaction: A Research on the Collaborative Robots Used in Mining Industry

Aygul Donmez-Turan, Mustafa Nazıroglu — Tue, 10 Mar 2026 00:00:00 +0000

Nowadays, robots are increasingly used in a wide range of tasks, from industrial production to social services. The main purpose of this study is to explain individuals’ acceptance of working collaboratively with industrial robots. Attitudes toward using these robots—referred to as collaborative robots (cobots)—may shift in either a positive or negative direction depending on various factors. For instance, individuals who hold negative views toward technological developments are more likely to exhibit unfavorable attitudes toward collaborative robots. On the other hand, the ease of use of a given technological devices may encourage individuals to use such devices. Accordingly, this study investigates the effect of negative attitudes toward situations of interacting with robots on individuals’ acceptance of working with collaborative robots. More specifically, the primary objective of this research is to examine the mediating role of the perceived ease of use of the collaborative robot in the relationship between individuals’ attitudes toward robots and their acceptance of working with them. In line with this objective, the sampling frame of the study consists of employees who work alongside collaborative industrial robots while performing their jobs. Within this framework, data were collected via a survey method from 100 blue-collar workers employed at two mining sites operating in Afyon and Muğla. The collected data were analyzed using correlation analysis, simple linear regression, and hierarchical regression analyses. The findings reveal that negative attitudes toward interacting with robots have a negative effect on the acceptance of working with the relevant robot, whereas the perceived ease of use of the existing robot technology has a positive effect on acceptance behavior. Furthermore, another key finding of this study is that the relationship between negative attitudes toward interacting with robots and the acceptance of robot technology is mediated by the perceived ease of use of the robot technology.

The Impact of Talent Management and Human Resources Practices on Employee Performance

Shaymaa M. M. ALSHARİF, Necmiye Tülin İRGE — Tue, 10 Mar 2026 00:00:00 +0000

Talent management and human resources practices play a crucial role in enhancing individual and organizational performance by enabling the effective utilization of employees’ knowledge, skills, and potential. An effective talent management approach supports the placement of employees in suitable positions, provides access to development opportunities, and facilitates the achievement of career goals. When integrated with human resources practices, this process directly contributes to performance by strengthening employee motivation, organizational commitment, and job satisfaction. The purpose of this study is to examine the effects of talent management and socially responsible human resources practices on employee performance among 400 employees working in the service sector. The results of the analyses reveal a strong and statistically significant positive relationship between talent management and employee performance (r=0.869; p<0.01). Similarly, a positive and significant relationship is found between socially responsible human resources practices and employee performance (r=0.731; p<0.01). The findings of the structural equation model indicate that both talent management and socially responsible human resources practices significantly enhance employee performance. While the results demonstrate that talent management has a stronger effect on performance, partial differences are observed according to demographic variables.

Causal Effects of Communication Channels in Bank Telemarketing Campaigns: Evidence from Interpretable Causal Machine Learning Models

Ayşe Nur Adıgüzel Tüylü — Tue, 10 Mar 2026 00:00:00 +0000

This study examines the causal effect of communication channel choice on customer subscription decisions in bank telemarketing campaigns. While existing studies rely heavily on predictive machine learning models to assess campaign success, these approaches are often limited in supporting causal decision-making processes. To address this gap, this study adopts a causal machine learning framework using an open-access bank marketing dataset. The dataset consists of approximately 41,000 observations, with communication channel mobile phone communication channel (cellular) or telephone (landline phone communication channel) treated as a binary strategic intervention variable. Mean Treatment Effect (ATE) is estimated using Dual Machine Learning, while Conditional Mean Treatment Effects (CATE) are analyzed through a Causal Forest model to capture customer-level heterogeneity. The results show that although the mean effect of the communication channel is modest, significant heterogeneity exists among customer segments. To interpret the sources of treatment effect heterogeneity, a SHAP-based explainability analysis is performed on a high-accuracy surrogate model that approximately represents the CATE estimates. The findings reveal that macroeconomic indicators such as employment levels (np.employed) and interest rates, along with campaign-related features, play a critical role in shaping the effectiveness of communication channels. Mobile communication has strong positive effects for certain customer groups, while its impact is weak or even negative for others. Overall, this study contributes to the bank telemarketing literature by moving beyond predictive accuracy and towards a causal and interpretable decision support framework. The results highlight the importance of designing marketing strategies that account for customer-level heterogeneity and contextual factors, rather than relying solely on average effects.