For many different types of businesses, additive manufacturing has great potential for new product and process development in many different types of businesses including automotive industry. On the other hand, there are a variety of additive manufacturing alternatives available today, each with its own unique characteristics, and selecting the most suitable one has become a necessity for relevant bodies. The evaluation of additive manufacturing alternatives can be viewed as an uncertain multi-criteria decision-making (MCDM) problem due to the potential number of criteria and candidates as well as the inherent subjectivity of various decision-experts engaging in the process. Pythagorean fuzzy sets are an extension of intuitionistic fuzzy sets that are effective in handling ambiguity and uncertainty in decision-making. This study offers an integrated fuzzy MCDM approach based on Pythagorean fuzzy sets for assessing additive manufacturing alternatives for the automotive industry. Objective significance levels of criteria are determined using the Criteria Importance Through Inter-criteria Correlation (CRITIC) technique, and additive manufacturing alternatives are prioritized using the Evaluation based on Distance from Average Solution (EDAS) method. A sensitivity analysis is performed to examine the variations against varying criterion and decision-maker weights. Moreover, a comparative analysis is conducted to validate the acquired findings.

Addiction to smartphones, particularly among adolescents, has reached alarming proportions, rivaling or perhaps exceeding internet addiction as the most widespread kind of dependence in modern culture. Evaluating the degree of problematic smartphone use habits by experts and identifying the vulnerable ones to steer to the right treatment program has become a critical issue. Since such a task may involve an abundance of criteria and candidates, as well as the inherent subjectivity of multiple decision experts participating in the process, the assessment of smartphone addiction can be framed as an uncertain multi-criteria decision-making (MCDM) problem. As an extension of intuitionistic fuzzy sets, Pythagorean fuzzy sets can be used to efficiently manage ambiguity and uncertainty during decision-making. This study provides an integrated fuzzy MCDM methodology based on Pythagorean fuzzy sets for evaluating the smartphone addiction level of adolescents. The Criteria Importance Through Inter-criteria Correlation (CRITIC) method is used to determine the importance levels of criteria in an objective manner, and smartphone addiction levels of the selected candidates are ranked using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) approach. A sensitivity analysis is conducted to examine the variations in candidate rankings caused by changes to the criteria and weights of the decision experts. Moreover, in the context of comparative analysis, the Evaluation based on Distance from Average Solution (EDAS) approach is used to validate the acquired findings.

The COVID-19 pandemic has brought about serious consequences in business world practices. Among these, flexible working policies have increased to a great extent. This has resulted in serious problems in the work-life balance. In this context, conditions such as having children and marital status have been important factors that can affect work engagement among flexible workers in the post pandemic era. Therefore, this study investigates the relationship of marital status, job experience and having children with work engagement among white-collar workers who work in flexible hours. Data is collected through surveys from 199 flexible working employees. ANOVA and T-tests were employed to analyze the data. The results indicate that only one of the sub-dimensions of work engagement–namely absorption- changes according to their marital status, and yet, the work engagement is not related to having children. In addition, it is seen that there is a significant relationship between job experience and work engagement.

Background: Smartphones have become an indispensable part of the daily lives of adolescents in the 21st century, which is characterized by a highly digitized modern world. Besides their many advantages, smartphones might pave the way to compulsive usage and addictive experiences. To remedy this problem, this study proposes an authentic approach which integrates consumer behavior theories and techniques such as unhook and gamification. An education program has been designed based on these approaches to decrease the problematic smartphone use. Method: The participants of the education program consisted of 305 students (48.2% girls and 51.8% boys) with a mean age of 14.57 (SD = 0.74). The Demographic Form and Smartphone Addiction Scale for Adolescents (SASA) were conducted before the education program and three weeks after the education. Results: The results of the paired sample t-test analysis before and after the education program revealed that the SASA total scores decreased significantly (p < 0.01). There are significant differences in terms of gender, mothers’ education and class levels. Conclusion: This research emphasizes the role of an interdisciplinary approach to the addiction problem. The content used in the education program includes strategies that originally aimed at increasing consumption. The effectiveness of the program can be enhanced further in the future along with self-regulatory additions.

Endüstri 4.0 tüm dünyada hemen her sektör için yıkıcı etkisi olan bir kavramdır. Akıllı üretim sistemlerinin değer zincirinin her aşamasında yıkıcı etki yapmasının öngörüldüğü Endüstri 4.0 vizyonunda lojistik en fazla etkilenecek sektörlerden biri olarak öne çıkmaktadır. Alan yazında Endüstri 4.0 uygulamalarının lojistik sektörüne etkisi incelenmekle birlikte operasyonel verimlilik üzerine etkisi üzerine yeterince çalışma bulunmamaktadır. Bu araştırmada Endüstri 4.0 uygulamalarının lojistik sektöründe operasyonel verimliliğe etkisi incelenmektir. Araştırmada operasyonel verimlilik; taşıma yönetimi, depo ve envanter yönetimi, sipariş yönetimi, müşteri hizmetleri ve maliyet verimliliği yönlerinden ele alınarak ayrıntılı bir biçimde açıklanmıştır. Veriler Endüstri 4.0’ı etkin olarak kullanan lojistik firmalarının bu konuda yetkin üst ve orta düzey yöneticileri ile derinlemesine mülakat, gözlem ve doküman incelemeleri yapılarak toplanmıştır. Verilerin güvenilirliğini sağlamak için Kappa Analizi kullanılmıştır. Veri çözümlemesi yaparken, açık, eksenel ve seçici kodlamalar yapılarak gömülü teori oluşturulmuştur.

This study investigates the impact of anti-corruption efforts on financial development across different economies, using G7 and E7 countries as comparative groups. Recognizing corruption as a barrier to economic growth, the research examines how effective corruption control can enhance the efficiency of the financial sector, foreign direct investment (FDI), and capital market development. The methodology includes panel cointegration tests—namely Pedroni, Kao, and Westerlund tests—alongside fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) estimations to assess the long-term relationships between corruption control and financial development. The findings reveal a statistically significant cointegration relationship, suggesting that anti-corruption measures positively influence financial development in both G7 and E7 countries, albeit more strongly in E7 economies. Specifically, the Westerlund test results, which take cross-sectional dependencies into account, reinforce the robustness of the findings. The study underscores the importance of tailoring anti-corruption policies to each country’s unique economic framework, highlighting that while G7 countries benefit from advanced institutional structures, E7 countries experience more pronounced effects of corruption control on financial development and FDI. These insights contribute to the policy discourse on sustainable economic development by emphasizing the role of governance quality in fostering robust financial systems and attracting international investment.