Abstract:Companies listed in the Jakarta Islamic Index 70 (JII70) provide a unique research context because they operate within an Islamic capital market framework that applies sharia screening criteria and financial requirements.…
. Despite being guided by the same sharia principles and regulatory environment, JII70 companies still show variations in financial performance. Although previous research has examined the factors that affect financial performance, empirical evidence regarding the influence of efficiency, market ratios, liquidity, and leverage still shows inconsistent results, particularly in companies that comply with sharia principles. Therefore, this study aims to analyze the influence of efficiency, market ratio, liquidity, and leverage on the financial performance of companies listed on JII70 by using Return on Assets (ROA) as a performance indicator. This study uses a quantitative approach by utilizing secondary data obtained from the annual reports of 57 non-financial companies during the period 2021–2025, resulting in 285 company-year observations. Panel data regression analysis was performed using the Fixed Effects model with Driscoll–Kraay error standard to overcome the problems of heteroscedasticity and autocorrelation. The results show that efficiency measured by Total Asset Turnover (TATO) and market ratio measured by Price-to-Book Value (PBV) have a positive and significant effect on financial performance. Meanwhile, liquidity measured by Current Ratio (CR) and leverage measured by Debt-to-Asset Ratio (DAR) have a positive but not statistically significant effect on financial performance. The findings of this study support the Signaling Theory by showing that efficiency and market ratio provide stronger signals regarding company quality and financial performance in the context of the Islamic capital market in Indonesia. These findings provide practical implications for managers in improving company performance as well as for investors in making more informed investment decisions
Abstract:Amidst the growing number of tourism villages and intensifying competition among destinations, tourism village managers face the challenge of devising digital marketing strategies that are not merely informative but also…
capable of sustainably building meaning, experiences, and destination competitiveness. This study aims to examine the social media-based digital marketing strategies implemented by a specific attraction within Pujon Kidul Tourism Village identifying supporting and inhibiting factors and to analyze the role of digital narratives in shaping the destination's image and competitiveness. A qualitative approach was employed, with data collected through in-depth interviews with tourism village managers (BUMDes), the Tourism Awareness Group (Pokdarwis), tourism-related MSMEs, village officials, and tourists. Data analysis was conducted thematically, utilizing source triangulation to ensure the validity of the findings. The study reveals that social media management remains reactive and unplanned, characterized by the absence of content calendars, creative direction, and performance evaluation mechanisms. Furthermore, there is a misalignment between the digital narratives used and the core identity of Cafe Sawah Pujon Kidul as a culinary destination rooted in the rural experience. Nevertheless, there are opportunities to be leveraged, such as hosting TikTok live streams which have proven effective for content collaboration with local SMEs and communities as well as the management's openness to learning and guidance.
Abstract:This study aims to examine and analyze the effects of financial capability, intellectual capital, and digital payment on the performance of microenterprises in Surabaya City. The study employed a quantitative approach using…
ing primary data collected through questionnaires distributed to microenterprise owners operating in the Culinary Tourism Centers (Sentra Wisata Kuliner) of Surabaya. The study population consisted of 1,154 microenterprise owners. Based on the Yamane formula, the minimum required sample size was 174 respondents; however 182 valid respondents were successfully obtained through a cluster random sampling technique and included in the analysis. Data were analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) method with the assistance of SmartPLS version 4 software. The results indicate that financial capability, intellectual capital, and digital payment have positive and significant effects on microenterprise performance in Surabaya. These findings suggest that the ability of business owners to manage financial resources, leverage intellectual resources, and utilize digital payment systems plays a crucial role in improving business performance. Enhanced financial capability enables entrepreneurs to make more effective financial decisions, while the utilization of intellectual capital supports more efficient business management. Furthermore, the use of digital payment systems provides greater convenience and efficiency in business transactions.
Abstract:This study aims to examine the effect of profitability, liquidity, and leverage on tax aggressiveness in health sector companies listed on the Indonesia Stock Exchange (IDX) for the period 2022–2025. Tax aggressiveness is…
is measured using the GAAP Effective Tax Rate (GAAP ETR), while profitability is proxied by Return on Assets (ROA), liquidity by the Current Ratio (CR), and leverage by the Debt to Equity Ratio (DER). A quantitative research method with descriptive and verificative approaches is employed. The population consists of 38 health sector companies, from which 11 companies are selected as samples through purposive sampling, yielding 44 firm-year observations. Data analysis is performed using panel data regression with the Fixed Effect Model (FEM) estimated through EViews 12. The results show that: (1) profitability does not significantly affect tax aggressiveness (prob. = 0.1023 > 0.05); (2) liquidity does not significantly affect tax aggressiveness (prob. = 0.4822 > 0.05); (3) leverage significantly affects tax aggressiveness (prob. = 0.0424 < 0.05); and (4) profitability, liquidity, and leverage simultaneously affect tax aggressiveness (prob. F-statistic = 0.0006 < 0.05), with an Adjusted R-squared of 0.48 or 48%. These findings suggest that debt financing structure plays a critical role in corporate tax planning decisions within the Indonesian health sector.
Abstract:This study aims to analyze the effect of Initial Public Offering (IPO) on Return on Assets (ROA) by considering Firm Size, Liquidity, Leverage, and Tangibility in companies listed on the Indonesia Stock Exchange (IDX). The…
he study adopts a quantitative explanatory research design using secondary data obtained from audited annual financial statements of companies that conducted IPOs during the observation period. The sample was selected using purposive sampling, while panel data were analyzed using the Fixed Effect Model (FEM) to examine the relationships among the variables. The findings indicate that IPO has a positive but insignificant effect on ROA, suggesting that additional capital raised through public offerings does not immediately improve corporate profitability. Firm Size and Leverage exhibit significant negative effects on ROA, indicating that larger firms may experience operational inefficiencies, while excessive debt increases financial burdens and reduces profitability. Conversely, Liquidity and Tangibility show positive but insignificant effects on ROA. Simultaneously, IPO, Firm Size, Liquidity, Leverage, and Tangibility significantly influence ROA, with the model explaining 59.11% of the variation in profitability. These findings imply that post-IPO financial performance depends not only on capital acquisition but also on effective asset utilization, prudent debt management, and efficient operational strategies. The study contributes to the literature on post-IPO corporate performance and provides practical insights for managers and investors in evaluating financial performance after public offerings
Abstract:This study discusses the optimization of a company's financial performance through working capital management and capital structure policies. To increase profitability (ROA), companies require efficient cash conversion cycle…
ycle management and optimal funding supported by internal company characteristics. The research problem proposed is to determine how to achieve increased profitability in an automotive distributor company through the efficiency factors of Cash Conversion Cycle (CCC), Firm Size (Firm Size), Leverage (DER), and historical profitability factors (ROA_Lag). The sample of this study is the financial statements of PT New Ratna Motor (Nasmoco Group) in Semarang City for the 2021-2024 period, which were transformed into quarterly data (N=16). The results of data analysis indicate that this research model has a good level of feasibility (goodness of fit) with the ability to explain variations in profitability (Adjusted R Square) of 78.1% and successfully overcome autocorrelation interference. Simultaneously, there is a strong relationship between the independent variables and the company's profit movements. Partially, the Cash Conversion Cycle (CCC) variable is proven to have a negative and significant effect on profitability, while the Firm Size and Leverage variables have not shown a significant effect at the 95% confidence level.
Abstract:This study investigates the relationship between profitability, leverage, and firm size and tax avoidance practices in publicly listed consumer sector firms during the 2020–2024 period. A quantitative approach was applied…
ied using panel data regression analysis, with a sample of six companies selected through purposive sampling. Tax avoidance was measured using the Effective Tax Rate (ETR), while profitability, leverage, and firm size were proxied by Return on Assets (ROA), Debt to Equity Ratio (DER), and the natural logarithm of total assets, respectively. Based on model selection procedures, the Random Effect Model (REM) was identified as the most appropriate specification. The results indicate that, both individually and jointly, profitability, leverage, and firm size do not exhibit a statistically significant effect on tax avoidance. Additionally, the coefficient of determination suggests that the model explains only a limited proportion of the variation in tax avoidance behavior. These findings imply that tax avoidance is likely influenced by factors beyond the financial indicators examined, highlighting the need for future research to incorporate broader determinants, including governance and regulatory aspects.
Abstract:Micro, small, and medium enterprises (MSMEs) in developing countries like Indonesia are highly vulnerable to financial risks yet often lack formal risk-management practices, relying instead on personal experience, intuition,…
ion, and culturally rooted local practices to navigate financial uncertainty. This study aimed to identify MSME owners' perceptions of financial risks, explore informal mitigation strategies based on local experience and community practices, analyze the influence of cultural norms and social networks, and propose a contextually grounded problem-solving framework. Employing a qualitative research design, the study used in-depth semi-structured interviews, direct observations, and document analysis with MSME owners, and analyzed the data using thematic analysis and triangulation to ensure credibility. The results revealed three primary financial risk-mitigation strategies: adaptive cash-flow management, reliance on social capital and local economic networks, and experiential diversification driven by local market knowledge. The findings demonstrate that MSMEs develop resilience through culturally embedded practices and social structures, confirming that interventions should leverage existing informal mechanisms and integrate culturally compatible tools rather than imposing rigid formal frameworks.
Abstract:In an uncertain economic climate, a large global retailer used AI-powered spend intelligence to move $220 million from indirect operational costs toward high-impact R&D. In a difficult recession, this decisive step boosted…
ed revenue by 11%, demonstrating the transformative impact of effective capital management. This achievement contrasts with "spend blindness," where industry studies show most financial leaders struggle to link expenditure patterns to strategic growth outcomes and resort to reactive cost-cutting. This study addresses this crucial gap. A thorough mixed-methods approach including a global survey of 400 CFOs, longitudinal case studies of ten multinational organizations, and advanced predictive modeling substantiated a new paradigm. Research shows that companies that understand AI-driven spend orchestration develop 7.3% faster than competitors. This premium comes from a 37% improvement in the Growth Efficiency Ratio (GER), a critical statistic for translating savings into innovation, and 5.8 times more strategic investment opportunities than standard financial approaches allow. The Spend Intelligence Quotient (SIQ), a groundbreaking statistic that assesses financial agility through integrated spend monitoring, predictive analytics, and rapid capital reallocation, is key to this advantage. This paper introduces the empirically based Spend Orchestration Framework and the requirements for the 2025 AI Finance Stack to obtain SIQ >80, the empirically proven threshold for sustainable competitive advantage. The message is clear: finance chiefs must go beyond oversight. Today's CFO may use predictive contracting and algorithmic governance to turn spend data into strategic leverage, ensure resilience, and capture disproportionate value in.
Abstract:This study examines the influence of social media marketing on purchase intention through electronic word of mouth (eWOM). In today's era, eWOM has become one of the key factors influencing consumers" purchase intentions,…
, as information shared online can either strengthen or weaken a consumer" 's purchase intention. This research uses bibliometric analysis with data from the Scopus database to explore existing research trends and the relationship between social media marketing, eWOM, and purchase intention. The findings show that social media marketing significantly impacts purchase intention through eWOM as a mediator that strengthens this influence. This study provides valuable insights for marketers and the general public, especially in designing strategies that leverage eWOM to enhance social media marketing activities and increase purchase intention.