Doğuş University

The aviation industry is facing growing pressure to become more sustainable while continuing to meet strict safety, efficiency, and performance requirements. This chapter argues that achieving sustainability in aviation cannot be accomplished through technology alone, but requires a broader transformation in leadership, human resource management, and strategic management practices. Drawing on recent studies in aviation management and sustainability, the chapter explores how sustainability-oriented innovation develops through the alignment of leadership vision, HRM systems, organizational capabilities, and governance structures. It highlights the role of ecosystem-based collaboration, integrated support systems, socio-technical change, and organizational culture in turning sustainability goals into everyday practices. By focusing on people, management, and decision-making processes, the chapter offers practical insights for aviation managers and policymakers and outlines directions for future research on leadership and HR innovation in sustainable aviation.

ABSTRACTThis study aims to compare the motivations of Generations X, Y, and Z for participating in rural tourism and ethnic recreational tourism. Tourism is based on various motivations shaped by cultural and social dynamics, with rural areas and ethnic experiences playing a significant role in tourism preferences. Using quantitative research methodology, 390 surveys were administered to tourists from different age groups. The findings indicate that gender has no significant effect on motivations in either type of tourism. However, education level and income status variables led to significant differences in both rural and ethnic-recreational tourism motivations. Notably, lower income and certain education groups demonstrated lower tourism motivations. Regarding generational variables, rural tourism participation motivation was highest among Generation Z and lowest among Generation X; whereas in ethnic-recreational tourism, Generation Z's motivation was significantly lower compared to Generation X. Analysis of motivation statements revealed that rural tourism motivations were generally high, with nature-based and psychological relaxation elements being particularly prominent. In ethnic-recreational tourism, participation in cultural activities and package tour preferences were predominant. The study's findings support the determinant role of demographic factors on tourism motivations, demonstrating that motivation structures vary across different types of tourism.Keywords: Rural Tourism, Ethnic Tourism, Recreation, Motivation.

Occupational safety training plays a significant role in protecting employees from accidents and occupational diseases. The effectiveness and content of training also influence the outcomes. In this regard, determining the training topics that employees need is important. In this study, the knowledge levels of manufacturing sector employees were measured using a 30-question test to determine the topics needed in occupational safety training. The data obtained were analyzed using multi-criteria decision-making methods. The aim of the study is to identify the topics in which manufacturing sector employees have knowledge gaps in terms of occupational safety. The results showed that manufacturing sector employees had the most knowledge gaps regarding personal protective equipment. This was followed by labor regulations, safety culture, working at heights, lifting equipment, emergencies, and occupational safety and health warning signs.

Industrial machine vision has become an indispensable technology, especially in mass production environments. Many geometric features can now be measured quickly and accurately using machine vision algorithms. In this study, we propose a subpixel-based algorithm for measuring the concentricity of washer-type parts. The proposed method accurately determines the center of the part by analyzing intensity variations in the transitional regions, offering a new perspective compared to classical approaches. As a second contribution, this study addresses the limited access to datasets often due to commercial constraints by introducing an open-access dataset. The dataset includes 45 washer-type parts measured using a Coordinate Measuring Machine (CMM) and imaged under four different camera configurations. In addition to concentricity, the dataset provides comprehensive geometric measurements for each part. Experimental results demonstrate that the proposed method outperforms two existing algorithms and a commercial industrial vision system. Specifically, it achieved the best result on 45 samples. The source code and dataset used in this study are available at: https://github.com/agpoyraz/Concentricity_Measurement

The digital revolution has fundamentally altered consumer-brand relationships, creating new ethical challenges that vary significantly across generational cohorts. This chapter examines how different generations evaluate ethical marketing practices in digital environments, analyzing the intersection of generational values, digital literacy, and ethical expectations. Through comprehensive analysis of existing research and emerging trends, this work provides a framework for understanding generational differences in digital marketing ethics and offers practical strategies for marketers seeking to navigate these complex dynamics. The research reveals significant variations in how Generation Z, Millennials, Generation X, and Baby Boomers perceive data privacy, authenticity, algorithmic transparency, and corporate social responsibility in digital contexts. These findings have immediate implications for marketing professionals developing ethical strategies that resonate across diverse demographic segments while maintaining commercial effectiveness.