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This study aims to analyze the effect of job satisfaction and organizational commitment on employee productivity at the Semarak Dana Mojokerto Savings and Loan Cooperative.  The problem of low discipline and performance of marketing staff is an important background, given the limited empirical studies on human resource factors in micro cooperatives in Indonesia.  This study uses a quantitative approach with a total sampling technique on 35 respondents.  The instrument, in the form of a questionnaire, consisted of 28 statement items measured on a 1–5 Likert scale, with validity and reliability tests showing good results (Cronbach's Alpha > 0.70). Multiple linear regression analysis was used with the help of SPSS 26. The results of the study show that job satisfaction has a significant positive effect on productivity (β = 0.723, p < 0.05), as does organizational commitment (β = 0.555, p < 0.05). Simultaneously, these two variables contribute to an increase in employee productivity with a coefficient of determination of 77.8%.  These findings support the theories of Locke (1976) and Meyer & Allen (1991) and are in line with previous studies, although the context of micro cooperatives provides unique characteristics. The practical implications of this study encourage cooperatives to strengthen their reward systems, provide training, and improve work SOPs, particularly in marketing services. The limitations of this study lie in the small sample size and cross-sectional design. Future research is recommended to use a larger sample, a longitudinal approach, and include moderator variables such as work motivation or organizational culture.

The Dividend Payout Ratio (DPR) changes in food and beverage companies listed on the Indonesia Stock Exchange between 2019 and 2023, which reflect shifts in dividend policy, are what spurred this study.  Dividend policy is important since it helps to win over investors.  Nonetheless, management frequently has to decide whether to pay dividends or keep profits for investments.  Finding out how management ownership, profitability, leverage, and business size affect dividend policy in food and beverage companies listed on the Indonesia Stock Exchange is the aim of this study. This study is classified as a quantitative causality study.  50 food and beverage firms made up the sample, which was selected using a purposive sampling technique.  The SPSS version 25 multiple linear regression software was used to examine these data.  This study demonstrates that the dividend policy of companies in the food and beverage sector listed on the Indonesia Stock Exchange is influenced, in part, by management ownership, profitability, leverage, and company size.  Conversely, the dividend policy of companies in the food and beverage sector listed on the Indonesia Stock Exchange is influenced by management ownership, profitability, leverage, and company size.

The study analyzes the business strategy of UPC Pegadaian Pasar Bumiayu using the SERVO approach (Strategy, Environment, Resources, Values, Organization). The findings indicate that Pegadaian has developed adaptive and innovative strategies through service digitalization, sharia-based products, as well as public education and strategic partnerships. Both internal and external environments are managed responsively, utilizing human resources and technology effectively. Organizational values promote a collaborative work culture and inclusive leadership. The evaluation shows that the SERVO approach helps Pegadaian remain competitive and relevant in the modern financial industry.

This study aims to analyze the business position of BMT Dana Mentari Muhammadiyah Purwokerto using the McKinsey Matrix as a strategic analysis tool. The method used is a qualitative approach with data collection through literature studies, observations, and interviews with BMT managers. The data obtained were analyzed using the McKinsey Matrix to assess market attractiveness and business strength in each business unit. The study results indicate that most of the BMT Dana Mentari Muhammadiyah Purwokerto business units are in the blue and yellow zones in the McKinsey Matrix, indicating the need for selective development and maintenance strategies. This analysis also recommends effective and efficient resource allocation to improve the competitiveness and performance of BMT in the Islamic microfinance market. Thus, the use of the McKinsey Matrix has been proven to help BMT in determining the priority of business strategies that are adaptive to market dynamics and competition.

Artificial Intelligence (AI) has become an essential tool in the world of management for decision-making. This article examines the ways in which AI can be used to improve the quality and speed of decision-making, and how AI can improve the operational efficiency of companies. In addition, this article also examines the challenges and opportunities that companies face in adopting AI.In the rapidly evolving digital era, AI has become an essential component of modern business strategies. Today's managers are often faced with the challenge of analyzing very large and complex volumes of data. To make good and timely decisions, AI offers a potential solution with fast and precise data analysis capabilities.The use of AI in decision-making involves machine learning algorithms and models to efficiently process and analyze large amounts of data. This helps managers gain deeper and more accurate insights, enabling more effective decision-making.

Abstract. The background of this research is the rampant competition in the bus transportation business which is marked by the increasing number of bus transportation companies in several locations that are even close to each other, which results in customers being faced with a lot of choices. One of the famous transportation services in Blitar City is the Rosalia Indah bus. Ticket sales from PO Rosalia Indah are higher every day compared to other POs, such as PO Harapan Jaya. Therefore, transportation service companies compete with each other to attract consumers. This study aims to determine the effect of tariffs, accessibility, facilities and infrastructure on user interest. The population in this study were Rosalia Indah bus users, the sample of this study was 100 respondents. Sampling technique is nonprobability sampling  with the type of sampling, namely incidental sampling. The data analysis used in this study is descriptive analysis and quantitative analysis, the data were analyzed using multiple linear regression analysis with the help of  (software) Statistical Package For Social Science (SPSS) version 25. The results of the study by partially testing the t-test hypothesis showed that Rates, Accessibility, Facilities and Infrastructure have a positive and significant effect on increasing user interest.  Based on the research results, the regression equation model is Y = 1.821 + 0.424 + 0.263 + 0.178 + . the tariff variable with a regression coefficient of 0.424, the accessibility variable with a coefficient of 0.263, the variable of facilities and infrastructure with a regression coefficient of 0.178. From the regression equation, the tariff variable has the most dominant effect on increasing the number of users with an R2(R Square) test of 0.626 or 62.6% which means that user interest is influenced by tariff variables, accessibility, facilities and infrastructure, and other factors that influence Rosalia Indah bus user interest is 37.4% or 0.374.

Cloud-Based Accounting Systems (CBAS) are technological innovations that support digital transformation in financial management by increasing efficiency, transparency, and real-time data access. This system helps companies reduce manual recording errors, improve reporting accuracy, and accelerate data-based decision-making processes. In addition, CBAS also has advantages in terms of flexibility of use and compliance with accounting standards, making it a relevant solution for modern companies. Although CBAS offers many benefits, its implementation can also create a perception of technological superiority that does not fully reflect reality if it is not balanced with organizational and human resource readiness. Challenges often faced in implementing CBAS include dependence on cloud services, data security threats, and errors in system input or configuration that can lead to inaccurate financial reports. In addition, overly high expectations for automation can lead to neglect of manual supervision that is still needed to maintain the reliability of financial information. The success of CBAS implementation is highly dependent on a well-designed implementation strategy, adequate user training, and appropriate risk mitigation measures. With careful planning and a strategic approach, CBAS can serve as a tool that increases financial transparency and efficiency, not just a technology trend that provides no real benefits.

The existence of micro, small and medium enterprises, especially in Bandar Lampung City, is not free from obstacles, one of which is related to bookkeeping or financial reporting. Mobile accounting-based applications are present as one of the technologies that are expected to overcome the problems faced by micro, small and medium enterprises. This study was conducted to determine the factors that influence the interest in implementing mobile-based accounting in micro, small and medium enterprises in Bandar Lampung City. The theory used in this study is UTAUT which consists of performance expectations, social influences and facilitating conditions. From the results of the study, it was obtained that performance expectations influenced the interest in implementing mobile accounting. Social influences did not affect the interest in implementing mobile accounting. Conditions that helped influence the interest in implementing mobile accounting.