Objective of this study is to improve educational processes in abstract or technical courses, by providing a mobile Augmented Reality (AR) tool. This tool is a mobile software system aiming to provide a supportive, e-learning material for students. By using the tool, students can view 3D animations, and special-made videos to have more idea about a course subject, or have a chance to improve their knowledge on the related course content. In order to achieve this, students are enabled to use mobile device camera interface on special signs placed in course books or any other supportive, physical materials that are given by course lecturers. Additionally, it is also possible to watch course materials after focusing on some physical objects in the real-life. Consequently, the software tool has aimed to ensure an effective learning experience by employing advantages of mobile devices and forming interactive sessions between virtual and real environment

The risk of accidents while operating a drone is quite high. The most important solution is training for drone pilots. Drone pilot training can be done in both physical and virtual environments, but the probability of an accident is higher for pilot trainees, so the first method is to train in a virtual environment. The purpose of this study is to develop a new system to collect data on students’ educational development performance of students during the use of Gamified Drone Training Simulator and objectively analyze students’ development. A multimodal recording system that can collect simulator, keystroke, and brain activity data has been developed to analyze the cognitive and physical activities of participants trained in the gamified drone simulator. It was found that as the number of trials increased, participants became accustomed to the cognitive load of visual/auditory tasks and therefore the power in the alpha and beta bands decreased. It was observed that participants’ meditation and attention scores increased with the number of repetitions of the educational game. It can be concluded that the number of repetitions lowers stress and anxiety levels, increases attention, and thus enhances game performance.

Sustainability of biological, social, and economic systems is crucial for protecting our common future and preserving the balance between nature and humans. Environmental concerns should be adopted by all units of society and sustainability awareness should be adapted to all processes through optimum technologies both in daily life and in business management. The basic objective of this article is to determine the effects of green core competencies, green process innovation, and firm performance variables on each other and to examine the moderating role of sustainability consciousness on these effects. A survey and semi-structured interview forms were preferred as data collection methods. In the analysis of the survey data, AMOS was adopted to test the hypothetical model and the Hayes Process macro was employed to determine the moderating effect. The data of interview forms were analyzed with the bag of words model. The research results show that green core competencies positively affect green process innovation and green process innovation positively affects firm performance. In addition, the moderating effect of the attitudinal and behavioral dimensions of sustainability awareness on the impact of green process innovation on firm performance is supported, while the moderating effect of the sustainability knowingness dimension is not supported.

Target groups within an organization adopt its culture, reflecting it in all internal and external business processes. Adopting a green organizational culture in hotels with sustainability certificates plays an important role in reshaping business processes by developing sustainability awareness among employees. Digital transformation, which facilitates corporate culture and business processes, plays a role in employee job satisfaction while also supporting environmental, social, and economic sustainability. This research aims to determine the relationship between green organizational culture, job satisfaction, and competitive advantage variables and to examine the moderating role of digital transformation on these relationships. The data-collecting techniques of choice were surveys and semi-structured interviews. While Amos software (Version 24) was used to test the hypothetical model in the analysis of survey data, a Hayes Process macro was used to determine the moderating effect. The interview forms’ data was analyzed using a bag-of-words model. According to the research results, there is a positive relationship between the participation, consistency, and adaptability sub-dimensions of green organizational culture and job satisfaction, while there is no significant relationship between the mission sub-dimension and job satisfaction. Furthermore, the study reveals the moderating role of digital transformation in the effect of job satisfaction on competitive advantage.

Accounting account codes are created within a specific logic framework to systematically and accurately record a company’s financial transactions. Currently, accounting reports are processed manually, which increases the likelihood of errors and slows down the process. This study aims to use image processing techniques to predict cash codes in accounting reports, automate accounting processes, improve accuracy, and save time. Deep learning embeddings from Inception V3, SqueezeNet, VGG-19, VGG-16, Painters, and DeepLoc networks were utilized in the feature extraction phase. A total of six learning algorithms, namely Logistic Regression, Gradient Boosting, Neural Network, kNN, Naive Bayes, and Stochastic Gradient Descent were employed to classify the images. The highest accuracy rate of 99.2% was achieved with the combination of the Inception V3 feature extractor and the Neural Network classifier. The results demonstrate that image processing methods significantly reduce error rates in accounting records, accelerate processes, and support sustainable accounting practices. This indicates that image processing techniques have substantial potential to contribute to digital transformation in accounting, helping businesses achieve their sustainability goals.