Abstract:This study aims to examine the partial influence of firm size, firm value, and systematic risk on stock returns of companies in the property and real estate sector listed on the Indonesia Stock Exchange during the 2020 –2024…
��2024 period. The research employs a quantitative approach and utilizes documentation methods. The population of this study consists of all property and Real estate sector companies within the 2020 –2024 period, The sample was selected using purposive sampling based on predetermined criteria, resulting in 14 companies. Panel data regression analysis was conducted using the Economic Views (EViews) version 12 software. The findings of the study reveal that, Firm size has a positive and significant effect on stock returns of property and real estate sector companies during the 2020–2024 period. Furthermore, firm value (PBV) is shown to have a positive and significant effect on stock returns, and systematic risk (Beta) likewise exerts a positive and significant influence on stock Returns within the same period.
Abstract:The rapid proliferation of AI-powered marketing technologies in emerging markets poses a fundamental challenge to culturally-grounded micro, small, and medium enterprises (MSMEs): how can algorithmic imperatives be reconciled…
ciled with indigenous value systems that define not only business practice but collective identity? Despite growing research on both AI adoption in SMEs and indigenous knowledge preservation, scholarship rarely examines how traditional values actively mediate rather than merely moderate commercial technology adoption. This study addresses that gap by investigating how MSMEs in Makassar City, Indonesia, negotiate AI marketing integration while preserving siri’ na pacce, the Bugis-Makassar philosophical framework centred on dignity (siri’) and solidarity (pacce). Employing interpretive phenomenology integrated with Community-Based Participatory Research (CBPR), the study conducted 23 in-depth interviews and three focus group discussions with 44 MSME owners and key personnel across traditional culinary, artisan craft, ethnic fashion, and digital service sectors. Template analysis generated four overarching themes: (1) value-based technology discernment, wherein siri’ na pacce operates as an active epistemological filter for evaluating AI tools; (2) strategic selective adoption, wherein enterprises accept algorithmically aligned functions while rejecting culturally incompatible features; (3) cultural indigenization of technology, wherein AI systems are actively reoriented toward communal rather than individualistic ends; and (4) constrained agency under platform power, wherein algorithmic visibility systems penalise cultural non-conformity with market exclusion. These findings challenge technological determinism and advance decolonial computing theory by demonstrating that indigenous values simultaneously enable epistemological agency and are constrained by structural power asymmetries, a duality insufficiently theorised in prior technology adoption frameworks. The study calls for regulatory frameworks establishing indigenous data sovereignty, participatory AI co-design with local communities, and cooperative digital infrastructure as conditions for authentic, rather than performative, cultural integration.
Abstract:This study aims to analyze the influence of financial literacy on financial behavior and the influence of financial literacy on financial behavior with lifestyle as a moderating variable in generation Z in Makassar City…
in 2024. This research method uses a descriptive quantitative approach, which aims to analyze the influence of financial literacy and lifestyle on the financial behavior of generation Z in Makassar City in 2024. The variables analyzed are Financial Literacy, Lifestyle, and Financial Behavior. The data used in this study are primary data in the form of questionnaires and secondary data in the form of financial data. The population in this study is all generation Z in Makassar City. The sample of this study is generation Z in Makassar City with an age range of 18-27 years. The results of the study indicate that Financial Literacy has a significant influence on Financial Behavior in Generation Z in Makassar City. Thus, it is expected to provide practical recommendations for generation Z in managing finances and assist local government policies in improving financial literacy among youth. In addition, this research will be published in the form of a Sinta-accredited national journal to provide deeper insight into how financial literacy and lifestyle influence the financial behavior of Generation Z in Makassar.
Abstract:This research is motivated by the consequences of the raw material ordering method which is still subjective, namely based on visual estimates without a structured system. This results in The coral experiencing a decrease…
e in revenue and losses. The purpose of this study is to find out how the inventory management system at The coral in Fodo Village, Gunungsitoli City, To find out the application of the Just-In-Time method in the potato raw material inventory management system increases the efficiency of producing French fries, To find out how the effectiveness of the Just-In-Time method in reducing raw material waste and ensuring optimal raw material availability for producing French fries at The coral. This study uses a quantitative research approach, namely a research method that emphasizes objective measurements and statistical analysis of numerical data to test the established hypothesis. This study uses a company method approach and a just-in-time method that aims to test the independent and dependent variables between the company method and the just-in-time method. Thus, from the comparison of the two methods above, it can be concluded that purchasing raw potato raw material inventory using the just-in-time method at The coral can minimize raw material inventory according to production needs, to avoid damage to raw material stocks that affect the quality of raw materials such as potatoes that are easily damaged.
Abstract:In recent years, the housing market has faced significant challenges, including fluctuating prices and declining sales. To solve this issue, there was an increasing need for more sophisticated methods to predict housing…
prices accurately. This study aimed to provide real estate marketers with a tool to enhance their pricing tactics and mitigate the decline in home sales by predicting house prices using machine learning techniques. Several parameters were considered in this study, such as location, number of bedrooms, number of bathrooms, land area, building area, and number of carports. Linear regression and neural network methods were used to develop predictive models. The findings showed that the neural network method was more accurate than linear regression, which made it a better tool for real estate pricing strategies, with land area and number of carports being the most influential aspects in house price prediction.
Abstract:In an increasingly competitive business landscape, establishing a strong brand position is not merely an option but a necessity. Effective brand positioning not only helps brands differentiate themselves from competitors…
but also fosters a deeper emotional connection with customers. This study aims to analyze the relationship between brand positioning and customer loyalty using a Systematic Literature Review (SLR) approach. By reviewing previous research published in indexed journals, this study identifies key factors influencing the success of brand positioning, including product differentiation, customer perception, and brand communication consistency.
The findings indicate that brands with a clear and consistent position in customers' minds are more likely to build long-term loyalty. Customers who feel connected to a brand’s values and identity are more inclined to remain loyal and even recommend the brand to others. Furthermore, this study reveals that the transition to the digital era has significantly altered how brands establish and maintain their position, with digital marketing strategies and message personalization emerging as critical factors in sustaining customer loyalty.
This research underscores the importance of businesses not only in crafting a strong brand image but also in ensuring that customer experiences align with the brand’s promised values. By understanding and implementing effective brand positioning principles, companies can foster deeper and more sustainable relationships with their customers while enhancing their competitive edge in the market.
Abstract:Coastal tourism plays a crucial role in Indonesia’s economic growth, particularly in enhancing local community welfare. This study aims to analyze effective strategies for developing coastal tourism to improve the community’s…
unity’s economy. Using a qualitative approach, data were collected through interviews, observations, and document analysis in selected coastal tourism areas. The findings reveal that sustainable tourism development, community empowerment, and digital marketing adoption significantly contribute to economic improvement. However, challenges such as inadequate infrastructure, environmental degradation, and policy inconsistencies hinder optimal development. The study suggests a collaborative approach involving government, local communities, and private sectors to establish sustainable and inclusive coastal tourism strategies. Strengthening infrastructure, promoting eco-tourism, and enhancing digital tourism platforms are recommended to maximize economic benefits. These findings provide insights for policymakers and stakeholders to formulate more effective coastal tourism policies in Indonesia.
Abstract:This research aims to determine the impact of Financial Literacy and Lifestyle on the individual financial management of employees at Paulus Indonesian Christian University. The problem focuses on identifying financial literacy…
iteracy and lifestyle that play a role in managing the personal finances of Paulus Indonesian Christian University employees. The associative and comparative methods are used in problem formulation and hypothesis. This quantitative research uses a saturated sampling technique, namely all people are sampled, where the sample size is 65 people or all employees of the Indonesian Paulus Christian University. Data was collected through questionnaires and analysed quantitatively with the Validity Test, Reliability Test, Normality Test, Multicollinearity Test, Heteroscedasticity Test, Autocorrelation Test, t-test, and f-test. The results of the hypothesis test show that financial literacy has a significant positive effect on individual financial management, while lifestyle has a non-significant and negative effect on personal management. Although Lifestyle has an insignificant and negative effect, together with Financial Literacy it is stated that it has a significant positive effect on Individual Financial Management for UKI Paulus employees
Abstract:This study examines the impact of Microfinance Institutions' (MFIs) performance on economic growth in Cambodia, using annual panel data from 62 MFIs for the period 2017–2023. Employing advanced econometric techniques, the…
the findings reveal nuanced relationships between key indicators of MFI performance and GDP growth. Notably, Non-Performing Loans (NPLs) show an unexpected positive relationship with GDP growth, highlighting the Cambodian microfinance sector's resilience in mitigating adverse effects through sustained economic activity. Inflation is also positively associated with GDP growth, suggesting that moderate inflation can drive economic expansion, though careful management is necessary to avoid destabilization. Conversely, the study finds a negative relationship between the number of MFIs and GDP growth, indicating potential inefficiencies from sector oversaturation. Lastly, a positive link between Return on Equity (ROE) and GDP growth underscores the importance of profitability in ensuring financial stability and economic development. The findings emphasize the need for policy measures to manage sector growth, maintain moderate inflation, and enhance MFI profitability for sustainable economic progress in Cambodia.
Keywords: Microfinance Institutions (MFIs); Cambodia; Economic Growth.
Abstract:Artificial Intelligence has become a transformative technology in the field of financial technology, leveraging advanced algorithms and machine learning to identify risks and make informed decisions. However, its widespread…
ead adoption presents new challenges related to ethical use, data privacy, security concerns, potential bias, and discrimination. This study aims to explore the benefits of AI-based risk management in Fintech while highlighting associated challenges and providing recommendations. This research utilises the systematic review methodology to analyse existing literature and identify important patterns, gaps, and areas for further investigation. The study utilised data gathered from the Scopus database to obtain credible scholarly materials. Research data was collected from a variety of countries including the United States, China, European nations, and other Asian countries in order to develop a comprehensive understanding of AI-based risk management on a global scale. The findings highlight the crucial role of ethical considerations in implementing AI-based risk management systems to ensure fairness, transparency, and accountability. Moreover, the fintech industry needs to establish strong data protection measures and address issues related to bias and discrimination in order to instil trust and uphold public confidence in AI-based risk management. Future research should emphasise assessing the effectiveness of different algorithms and approaches while also examining potential regulatory frameworks and legal implications associated with AI-based risk management strategies.