Scientific Journal of Space Management and Space Economy

THE EFFECT OF RISK MANAGEMENT IN THE PHARMACEUTICAL SUPPLY CHAIN ON CONSUMER HEALTH: A STUDY

Berkan Vural — 2025-06-29

This research examines the application of Near Field Communication (NFC) technology in the pharmaceutical supply chain and addresses its impact on risk management and consumer health. NFC enhances drug safety by ensuring traceability and proper storage conditions for pharmaceuticals from the manufacturer to the end-user. This study explores how NFC offers an effective solution in the logistics, storage, and transportation processes of the pharmaceutical supply chain. The research is enriched with a literature review and data obtained from the industry. The results show that NFC improves quality standards in the pharmaceutical supply chain and reduces losses caused by spoilage. This technology not only protects consumer health but also increases cost-efficiency and operational effectiveness in the sector. The findings of the study provide guidance for future research and aim to provide innovative solutions to practitioners.

USE OF ARTIFICIAL INTELLIGENCE IN BUSINESSES IN EUROPEAN UNION COUNTRIES

Nurgül Erdal — 2025-06-29

ABSTRACT

The rapid changes in the information, transportation, and communication systems in the world have necessitated the use of artificial intelligence and have adapted artificial intelligence applications to all processes in businesses. This study is the research of artificial intelligence, which is seen as a competitive advantage, in businesses in the European Union countries. In the study, comprehensive research was conducted by taking secondary data from the Gen-AI-Report_October-2023 report, and the AI Statistics 2024 report. And.Europa.eu/eurostat/statistics Research questions were prepared and the related findings were shared. In the study, the rate of artificial intelligence use in European Union countries was 24.97%. It is estimated that the investment will be 2500 million dollars in 2032. The country that uses the most artificial intelligence is Denmark. The use of artificial intelligence by all SMEs is 13.48% in 2024. In 2024, the information and communication sector, and professional, scientific, and technical service activities used the most artificial intelligence applications. The average usage rate is 16%. The least used ones are real estate, accommodation, and construction sectors. There are a wide variety of artificial intelligence applications. Artificial intelligence is widely used in many business management processes such as data analysis, business processes, customer interactions, production, marketing, purchasing, accounting, management, etc. It especially accelerates the right decision-making process for business managers. As a result, the distribution by type and economic activity in European Union businesses does not exceed 50%. Therefore, businesses should prefer artificial intelligence to gain a competitive advantage.

Keywords: Artificial Intelligence, European Union Management and Organization, Business Competitive Advantage

Jel Codes. A10,M14,Q34

PLAYER TYPE-BASED GAMIFICATION IN CORPORATE EDUCATION FROM A DIGITAL GAME DESIGN PERSPECTIVE

Mesut Öztırak — 2025-06-29

Digital game design offers a dynamic and motivating structure that encourages active participation of participants in the learning process as an alternative to traditional corporate training approaches. In recent years, the potential of gamification to go beyond merely making educational content attractive and to create learning experiences customized according to individual motivation types has attracted attention. In this context, player type-based approaches allow for the development of gamification strategies suitable for different learning styles and motivation sources of individuals in corporate training environments. The aim of this study is to examine how digital game design principles and player type-based gamification model affect interactive learning in corporate training environments. It is stated in the literature that in order for gamification to be implemented effectively, the motivation sources of the participants must be understood and in this sense, player typologies such as HEXAD and Bartle provide a strong analysis framework. It is also emphasized that interactive learning depends not only on individual success but also on social and psychological factors such as cooperation, competition and autonomy. This research offers a unique perspective on how corporate training can be made more interactive, motivating and personalized through digital gamification and aims to contribute to sustainable, employee-centered learning designs for institutions.

THE MEDIATING ROLE OF CAREER DETERMINATION IN THE EFFECT OF ACADEMIC ACHIEVEMENT ON THE PERCEPTION OF DECENT WORK

Nisan Nur Çakır — 2025-06-29

The aim of this study is to examine the mediating role of career decisiveness in the relationship between academic achievement and the perception of decent work. Within this framework, the research investigates how career decisiveness influences the interaction between individuals’ academic success and their professional expectations. Employing a quantitative research design, the study was conducted using a survey model, and data were collected from 412 university students. Analyses were carried out using SPSS and AMOS, through confirmatory factor analysis, correlation analysis, and mediation path analysis. The findings indicate a significant relationship between academic achievement and the perception of decent work, with career decisiveness serving as a meaningful mediator in this interaction. These results suggest that career decisiveness plays a critical role in transforming students’ academic accomplishments into future work-related expectations. Accordingly, it is recommended that higher education institutions structure their career guidance practices not only to enhance academic performance but also to support the development of students’ career decision-making competencies.

DEVELOPING DIGITAL TRANSFORMATION READINESS SCALE

Mesut Öztırak — 2025-06-29

The aim of this study is to develop a valid and reliable measurement tool to measure the digital transformation readiness levels of businesses. The scale development process consisted of three stages and various methods were carefully used in each stage. In the first stage, in-depth interviews were conducted and the results of these interviews were evaluated with content analysis to create a 35-item proposition pool. This stage allowed the determination of items covering different dimensions of digital transformation. In the second stage, these items were edited and a draft item was created. Expert opinions were consulted to ensure the meaning, appearance and scope validity of the draft, thus verifying the content validity of the scale. In the last stage, the draft scale was evaluated and a 10-item version was developed and this version was tested with pilot applications. Pilot applications were carried out with 110 people in the health sector and 363 employees in the aviation sector, thus collecting quantitative data. As a result of the analyzes, the digital transformation readiness scale had a one-dimensional structure of 8 items and confirmatory factor analysis showed that this structure was acceptable. The reliability of the scale was determined to be high with a Cronbach Alpha value of 0.958. These results show that the developed scale is a valid and reliable tool. In the following years, as the speed of adaptation to digital transformation becomes a critical factor for businesses, it is thought that this scale can be widely used to measure and evaluate the levels of readiness for digital transformation processes in all sectors.