Yerzhan Mukashev

Type of the article: Research Article

Scientific productivity is one of the key benchmarks to evaluate the development of a country in terms of innovation potential and competitiveness in the global academic environment. This study investigates the impact of key factors such as faculty workload and satisfaction, career dynamics, institutional environment, and research funding on publication performance. The methodology is based on system dynamics (SD), a simulation approach that assesses the dynamic impact of multiple factors on the publication performance. The approach combines causal-loop analysis, stock-and-flow diagrams, sensitivity testing, and Monte Carlo simulations, with Kazakhstan serving as a case country. The data on the factors, including from the global literature and statistics from Kazakhstan, were simulated to forecast publication performance and research output through 2030. Sensitivity analysis identified six dominant factors affecting the number of researchers: average wage growth rate, Ph.D. growth rate, average author tenure, normal workload, job satisfaction, and productivity rate. In contrast, the number of publications was most influenced by the research expenditure per paper, government investment growth rate, and private sector investment growth rate. The study findings from Kazakhstan can serve as “lessons learned” and assist researchers and policymakers working in the science policy and evaluation area in identifying high-impact factors and formulating more effective strategies to enhance the scientific knowledge creation of a country.

Acknowledgments
This paper has been funded by the Science Committee MSHE RK (Grant “Modernization of the quality assurance system of higher education in Kazakhstan based on digitalization: development of approaches, mechanisms and information base” BR24992974).

Type of the article: Research Article

Abstract
Digital technologies have changed how consumers obtain product information, interact with brands, and make purchasing decisions. However, empirical evidence on these relationships remains limited for urban, digitally active consumers in Kazakhstan. This study examines the associations among digital marketing activities, social media engagement, promotional pricing strategies, brand trust, and consumer purchasing behavior. A quantitative cross-sectional design was employed, using survey data collected from 320 active internet users in Kazakhstan between July and November 2025, administered via a structured questionnaire with five-point Likert-scale measures. The reliability and construct validity of the measurement instrument were evaluated using Cronbach’s alpha, the Kaiser–Meyer–Olkin statistic, Bartlett’s test of sphericity, and exploratory factor analysis, while regression and cluster analyses were conducted to examine the proposed relationships and identify consumer segments. The findings indicate that digital marketing activities are positively associated with consumer purchasing behavior, social media engagement is positively related to brand trust, and promotional pricing strategies significantly influence consumer purchase decisions. The measurement model demonstrated satisfactory reliability and construct validity, supporting the consistency of the empirical results. The study contributes evidence on digital consumer behavior among urban, digitally active consumers in Kazakhstan. It offers practical implications for organizations seeking to strengthen digital marketing strategies in comparable market settings.

Acknowledgments
The authors gratefully acknowledge the Kazakh-British Technical University for its persistent support and encouragement in facilitating this research, thanks to its strong commitment to academic excellence and innovation. Sincere appreciation is also extended to all the respondents who generously devoted their time and insights to this study, making a valuable contribution to its completion.