http://hdl.handle.net/20.500.12566/5 2026-06-09T23:00:27Z http://hdl.handle.net/20.500.12566/2473 An intuitionistic fuzzy based grey OPA methodology to ERP software selection under sustainability and Industry 4.0 compatibility Yurtyapan, Mustafa Said; Aydemir, Erdal Purpose The purpose of this paper is to show Industry 4.0 technologies the potential of Industry 4.0 technologies to reduce the environmental impact of manufacturing processes and transform business models towards sustainability. In this study, the ERP selection process is examined with sustainability and Industry 4.0 criteria under fuzzy and grey uncertainty methodologies. Design/methodology/approach A case study employed the intuitionistic fuzzy sets-based grey ordinal priority approach (OPA-G) methodology to evaluate sustainability criteria that are in line with the 17 Sustainable Development Goals (SDGs) by the United Nations and seven generic framework applications of Industry 4.0 compatibility. This approach was particularly chosen to address the uncertainties involved in selecting appropriate and reliable ERP software. Findings In this study, the enterprises often prioritize economic performance over environmental and social criteria. However, there is also recognition of the importance of integrating Industry 4.0 technologies such as cloud and edge computing, artificial intelligence, the Internet of Things, and big data in ERP selection processes to foster sustainable practices. Practical implications Industry 4.0 technologies enhance sustainability by providing real-time data analytics, increasing supply chain transparency, and optimizing resources to minimize waste and environmental impact. These innovations help businesses align with global sustainability standards, balancing economic, environmental, and social goals considering the circular economy (CE) while appealing to conscious consumers and investors. Originality/value This study introduces a novel use of the intuitionistic fuzzy set-based grey OPA methodology to evaluate sustainability criteria in ERP software selection, focusing on incorporating sustainability uncertainties and highlighting the importance of Industry 4.0 technologies for sustainable development under CE. 2026-01-01T00:00:00Z http://hdl.handle.net/20.500.12566/2472 The distributional consequences of globalization: a nonlinear analysis of Canada’s economic, social, and political dimensions Erkişi, Kemal This study examines the effects of globalization on income inequality with its economic, social, and political dimensions in the period 1995–2022, in the case of Canada. The model measures income inequality using the Gini Index as the dependent variable and incorporates three globalization dimensions, along with control variables like human capital, GDP per capita, foreign direct investment, and urban population growth. We employ Fully Modified Ordinary Least Squares (FMOLS) and Canonical Cointegration Regression (CCR) methods to assess long-term relationships. The study addresses the nonlinear effects of globalization’s economic, social, and political dimensions on income inequality. The findings indicate that economic and social globalization initially exacerbate income inequality, but eventually lead to improvements in income distribution as their effects reverse beyond a certain threshold. This demonstrates the nonlinear nature of these impacts on income distribution. Additionally, we find that human capital, foreign direct investment, and urban population growth reduce income inequality. However, GDP per capita exhibits a nonlinear relationship with income inequality, consistent with the Kuznets Curve hypothesis. Initially, GDP growth worsens income distribution, but at higher levels, it contributes to improving equality. This relationship was confirmed by the FMOLS estimates, but the CCR method did not confirm this result, suggesting that the impact of GDP on inequality should be interpreted with caution. Similarly, while FMOLS indicates a significant effect of political globalization on income inequality, the CCR method does not confirm this result, implying that the findings for political globalization should also be considered carefully. Overall, this study shows that economic and social globalization initially increase inequality, but their impact diminishes at higher levels. While human capital, foreign direct investment, and urban population growth all contribute to reducing inequality, these results reveal that when income equality is taken into consideration, globalization policies and economic growth strategies should be designed more carefully, with balancing policies aimed at reducing income inequality. In this context, a more detailed examination of the effects of different dimensions of globalization on income distribution will have important implications for policymakers. 2024-01-01T00:00:00Z http://hdl.handle.net/20.500.12566/2471 Economic output under a warming climate: non-linear damage effects and adaptive capacity in OECD countries Erkişi, Kemal; Sarıtaş, Başak This study examines the long-run effects of temperature anomalies on economic output in OECD countries, with a focus on non-linear damage patterns and the mitigating role of adaptive capacity. Using annual data for 38 OECD economies over 1995–2024, the analysis estimates panel models with Driscoll–Kraay standard errors within a reduced-form damage-function framework and corroborates long-run robustness using panel FMOLS. The results indicate a non-linear temperature–output relationship: moderate temperature deviations are associated with higher output, but the marginal effect weakens as anomalies intensify, consistent with rising damages at larger deviations from historical norms. Heterogeneity analyses reveal that the temperature–output response is substantially stronger and more non-linear in warm-climate OECD countries, with additional geographic heterogeneity between European and non-European OECD economies. The results further show that higher public investment and stronger health-system capacity are associated with reduced output sensitivity to temperature shocks, with this moderating role being especially pronounced in warmer climates. Taken together, these findings highlight infrastructure and health capacity as measurable, policy-relevant adaptation channels that strengthen macroeconomic resilience to climate variability in advanced economies. 2026-01-01T00:00:00Z http://hdl.handle.net/20.500.12566/2470 Asymmetric threshold effects in the growth–current account deficit nexus: Evidence from Türkiye using quantile-on-quantile regression Boğa, Semra; Erkişi, Kemal This study aims to analyse the structure of the relationship between economic growth and the current account deficit in the Turkish economy and how this relationship varies across different levels of growth. It is widely acknowledged in the literature that commonly used linear econometric models often fail to capture potential asymmetries and heterogeneities between variables. Therefore, this study employs the Quantile-on-Quantile Regression method, which allows simultaneous assessment of both dependent and independent variables across various quantile levels. The analysis was conducted using quarterly data for the period 2006:Q1 to 2023:Q3. The findings reveal that the relationship between the current account deficit and economic growth is asymmetric and quantile sensitive. In particular, rising current account deficits have a negative and statistically significant effect on growth at low levels of economic expansion. Conversely, this relationship tends to weaken or reverse at higher growth levels. These results reveal that when the current account deficit exceeds a certain threshold, it becomes unsustainable and acts as a drag on growth. The findings emphasise the need to design growth policies in alignment with external balance objectives. 2026-01-01T00:00:00Z