Journal of Multidisciplinary Academic Business Studies Published by Goodwood Publishing, Journal of Multidisciplinary Academic Business Studies is an online peer-reviewed, open access scholarly journal, which publishes critical and original analysis from researchers and academic practitioners on various business issues. Journal of Multidisciplinary Academic Business Studies welcomes high-quality manuscripts covering original research articles, review articles, book reviews, case reports, and discussions aimed at advancing both theoretical and practical development on areas business
Published
2025-06-20
Articles
The role of the media in strengthening freedom of expression and democratic institutions in Uzbekistan
Purpose: The article aims to analyze the role of mass media in strengthening freedom of expression and supporting the development of democratic institutions in Uzbekistan. It focuses on how media acts as a strategic tool for effective communication between the state and society within a free and open information environment.
Research methodology: The study uses historical and logical analysis, synthesis, content analysis, systematic analysis, and observation. These methods are applied to explore the transformation of media functions, legislative support for media freedom, and institutional practices in Uzbekistan.
Results: The findings reveal that mass media significantly shape public consciousness, political awareness, and civic culture. The evolution of media functions—especially in the digital age—has made media a vital component of social and political development. The study highlights the necessity of institutional, legal, and economic frameworks to ensure the independence and effectiveness of media. It also underscores the importance of preventing manipulation and promoting balanced regulation between freedom of speech and digital security.
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SintaMeasuring the achievements of smart economics in the smart village program in Lampung Province 2020-2024
Purpose: This study aims to measure the impact of Smart Village dimensions on rural community welfare in Lampung Province from 2020 to 2024, focusing particularly on the Smart Economy pillar and its integration with digital transformation and technosociopreneurship.
Research/methodology: A quantitative approach was applied using multiple linear regression analysis (Ordinary Least Squares method) on data from 70 Smart Village loci across four districts in Lampung. The independent variables consist of six dimensions: Smart People, Smart Governance, Smart Mobility, Smart Environment, Smart Living, and Smart Economy, while the dependent variable is community welfare. Instrument testing and classical assumption tests were also conducted to validate the model.
Results: All six Smart Village dimensions were found to have a significant positive effect on community welfare, with the Smart People dimension having the highest coefficient (0.8489). The regression model exhibited strong explanatory power (R² = 0.9535), and passed all classical assumption tests (normality, multicollinearity, heteroscedasticity, and autocorrelation). The results highlight that Smart Economy initiatives such as the digitalization of MSMEs, inclusive market access, and technology-driven entrepreneurship contribute directly to household income, job creation, and local economic growth.
Conclusions: The implementation of Smart Village principles, particularly in smart economic transformation, significantly improves the welfare of rural communities. Digital innovation, good governance, and community capacity-building play key roles in enhancing public service quality, economic inclusion, and sustainability.
Limitations: This study is limited to Smart Village implementations within Lampung Province and does not account for comparative data from other regions. It also does not evaluate long-term impacts or qualitative aspects of community behavior and resilience.
Contribution: The study offers empirical evidence supporting the effectiveness of Smart Village strategies in rural development. It contributes to policy-making by identifying priority areas for digital infrastructure, entrepreneurship training, and stakeholder collaboration. This research also provides a replicable model for evaluating smart village outcomes in other regions.
The use of UTAUT model to understand user intention and user behavior of mobile banking BIMA PT Bank Jateng
Purpose: The purpose of this study is to investigate the variables that affect users' behavioral intentions and actual usage patterns of PT Bank Jateng's BIMA mobile banking application. Contextual factors including user happiness, perceived delight, and mobile self-efficacy enhance it.
Research/methodology: 384 BIMA users participated in a structured survey that used a quantitative approach. The data was analyzed using structural equation modeling, or SEM, via SmartPLS. AVE and Composite Reliability were used to test validity and reliability, and SRMR, NFI, R2, and Q2 values were used to evaluate model fit.
Results: Ten of the thirteen proposed links were confirmed. Mobile self-efficacy significantly influenced perceived enjoyment, which in turn significantly influenced performance expectancy, effort expectancy, and happiness. The most important element influencing intention to use, which in turn affected usage behavior, was shown to be consumer satisfaction. Moreover, social influence and favorable circumstances have a big impact on behavioral results. Nevertheless, neither effort expectancy nor facilitating conditions had a significant effect on intention to use, nor did performance expectancy have a significant effect on satisfaction.
Conclusions: Emotional factors like perceived enjoyment and satisfaction, along with social influences, play a more dominant role than purely functional factors (e.g., effort or performance expectancy) in determining adoption and continued use of mobile banking. The findings suggest a shift from technical-centric to user experience-centric approaches in digital banking development.
Limitations: This study focuses solely on the BIMA mobile banking app using a cross-sectional design and PLS-SEM method. It does not account for moderating or mediating variables and may limit generalizability beyond the study context.
Contribution: The study extends the UTAUT model by adding emotional and contextual factors to better explain mobile banking usage and offers practical insights for improving user experience and digital adoption in regional banking.
