Purpose: This study aims to analyze the historical role of the Uzbek Soviet Socialist Republic (Uzbek SSR) as the main producer and exporter of agricultural products, especially cotton, fruits, vegetables, and processed goods, while emphasizing how all exports were controlled by the Soviet Union’s central planning system. Research methodology: The research applies a historical-analytical approach using methods of analysis and synthesis, retrospective and comparative analysis, as well as generalization and dialectical methods. Archival documents, official records, and secondary sources were examined to trace the dynamics of agricultural exports and their specific features. Results: The findings indicate that the Uzbek SSR became the “cotton heart” of the USSR, producing more than 60% of its cotton. Agricultural exports, including fruits, vegetables, and oils, were not only economic assets but also instruments of Soviet foreign policy and soft power. These exports were presented in international exhibitions and used in foreign aid packages to strengthen ties with countries in Africa, Asia, and Europe. However, reliance on monoculture and centrally imposed quotas contributed to environmental degradation and food insecurity. Conclusions: Centralized planning facilitated Uzbekistan’s transformation into a strategic agricultural hub but also created systemic inefficiencies and long-term vulnerabilities, particularly in ecological and economic sustainability. Limitations: The study is limited to the availability of Soviet and post-Soviet archival materials, which may not fully capture local perspectives or informal trade practices. Contribution: Contributes to Soviet and Central Asian studies by analyzing central planning’s impact on Uzbekistan’s agricultural exports.

Purpose: This study explores factors influencing users’ behavioral intention and actual usage of the BIMA mobile banking application by PT Bank Jateng. It applies the Unified Theory of Acceptance and Use of Technology (UTAUT), enhanced with contextual variables such as mobile self-efficacy, perceived enjoyment, and satisfaction. Research/methodology: A quantitative approach was conducted through a survey of 384 BIMA users. Data were analyzed with Structural Equation Modeling (SEM) using SmartPLS. Reliability and validity were tested with AVE and Composite Reliability, while model fit was assessed through SRMR, NFI, R², and Q² values. Results: Of 13 hypothesized paths, 10 were supported. Mobile self-efficacy strongly affected perceived enjoyment, which significantly influenced performance expectancy, effort expectancy, and satisfaction. Satisfaction emerged as the most influential factor on intention to use, which in turn impacted usage behavior. Social influence and facilitating conditions also contributed positively. However, performance expectancy did not significantly affect satisfaction, and both effort expectancy and facilitating conditions showed no significant effect on intention to use. Conclusions: Emotional factors like enjoyment and satisfaction, together with social influence, dominate over functional aspects in shaping adoption and continued use of mobile banking, suggesting a shift toward user experience-driven digital banking strategies. Limitations: The study is limited to one application, cross-sectional design, and PLS-SEM, reducing broader generalization. Contribution: This research extends UTAUT by incorporating emotional and contextual variables, providing practical insights for  enhancing user experience and digital adoption in regional banking.

Purpose: This study analyzes the economic impact of independent coffee enterprises on household income and local diversification in Mimika Regency, Central Papua, where dependence on mining remains dominant. Research/methodology: A mixed-methods approach was applied, combining a survey of 120 respondents with 30 in-depth interviews involving farmers, cooperatives, traders, and government officials. Primary data were collected through questionnaires, interviews, and field observations, while secondary data came from BPS reports and cooperative records. Quantitative analysis used descriptive statistics, correlation, and regression, while qualitative data were thematically analyzed with Atlas.ti. Results: The findings show that coffee enterprises significantly increase household income, with over 68% of respondents reporting growth of 15–25%. Statistical tests confirm a strong correlation between coffee enterprise activities and household welfare. However, their contribution to job creation remains limited, as most enterprises operate on a micro scale and rely on family labor. Structural barriers, including limited capital, poor infrastructure, weak branding, and market constraints, hinder expansion. Despite these challenges, coffee enterprises hold strong potential as alternative drivers of local economic diversification beyond mining. Conclusions: Independent coffee enterprises positively impact household income but have yet to create significant employment opportunities. Strengthening access to finance, infrastructure, and marketing is essential to maximize their role in sustainable regional development. Limitations: The study is limited to Mimika Regency and small-scale enterprises, which may not reflect broader regional dynamics. Contribution: This research contributes empirical evidence on coffee’s role in economic diversification in resource-dependent regions and offers policy insights to support sustainable development strategies in Central Papua.