Quantitative Economics and Management Studies

The Influence of Discipline and Workload on Work Effectiveness through Organizational Support among Lecturers at the State Islamic Institute (IAIN) Parepare

2025-08-31T20:56:11+08:00

This study aims to analyze the influence of discipline and workload on work effectiveness through organizational support. The subjects in this study were 80 lecturers at the State Islamic Institute (IAIN) Parepare. The research method used in this study is a quantitative method. The data analysis technique used is partial regression analysis using SmartPLS 4. The findings in this study indicate that the discipline variable has a negative and insignificant effect on organizational support. Discipline has a positive and significant effect on work effectiveness. Workload has a positive and significant effect on organizational support. Workload has a positive and significant effect on work effectiveness. Organizational support has a positive and insignificant effect on work effectiveness. Discipline, when mediated by organizational support, shows a very weak and statistically insignificant negative impact on work effectiveness. Workload through organizational support shows a positive and statistically insignificant impact on work effectiveness.

Subjective Well-being Analysis as a Return on Investment in Education and its Effects from Socio-Economic Factors by Panel Ordered Probit Method

2025-08-31T20:57:38+08:00

This study attempted to deepen the understanding of how social, economic, and demographic factors affect subjective well-being through the Panel ordered probit method from the Indonesian Family Life Survey (IFLS) 4 and 5. Subjective well-being has emerged as an important indicator of quality of life. Subjective well-being is important for individuals because it reflects the level of happiness and life satisfaction that affects various aspects of life. The research method used is quantitative. Data collection and analysis in this study were conducted through econometric modeling. This research utilizes panel data analyzed using the Panel Ordered Probit Method with the help of STATA 17 software. The results showed that higher education levels increased the likelihood of a person feeling “Very Happy”. In addition to education and age, control variables such as employment status, marital status, and residential location also show a significant influence on happiness; individuals who are employed have a 2.59% higher probability of feeling “Very Happy”, while those who are married tend to be happier and less likely to feel “Unhappy” or “Very Unhappy”. Location of residence was also influential, with individuals living in urban areas 0.97% more likely to feel “Very Happy” compared to those living in rural areas. Overall, the results confirm that education, employment status, social relationships through marital status, and neighborhood are important factors in influencing subjective well-being, emphasizing the importance of investing in education and policies that promote work-life balance and social relationships to improve people's well-being.

The Influence of Burnout, Eustress/Distress and Employee Wellbeing on Employee Performance

2025-08-31T21:01:41+08:00

This study aims to analyze the effect of burnout, eustress/distress, and employee wellbeing on employee performance . The study used quantitative methods with data collection through surveys of permanent employees who worked before and during the pandemic. The research sample was taken using simple random sampling technique with a minimum number of 50 respondents. Data collection was carried out through an online questionnaire, and data analysis was carried out using descriptive statistics with presentation in tabular form, mean, and standard deviation. The results showed that burnout has a significant negative effect on employee performance, while eustress has a significant positive effect. Employee wellbeing was also shown to have a positive effect on employee performance, indicating that employees who feel emotionally and psychologically wellbeing tend to perform better. The conclusion of this study is that companies should pay attention to employees' burnout and wellbeing conditions to maximize their performance, especially in facing post-pandemic challenges in the New Normal era. These findings can be the basis for company management to develop strategies to improve wellbeing and manage stress in the work environment so that employee performance remains optimal.

The Effect of Emotional Intelligence on Knowledge Sharing with Trust as a Moderator Variable: The Case of Distro Employees in Citarum Village Bandung

2025-08-31T21:06:36+08:00

This research investigates the impact of emotional intelligence on knowledge sharing behavior, with trust serving as a moderating variable, within distro businesses located in the Citarum Subdistrict of Bandung. Operating within the creative economy sector, these businesses encounter intense competition from both domestic and international markets. To maintain their sustainability, it is crucial to enhance emotional intelligence, encourage knowledge-sharing activities, and establish trust among employees. Employing a quantitative approach through surveys, the study gathered data from 179 distro employees. Questionnaires were used as the primary data collection tool, and the data were analyzed using regression techniques. The findings reveal that emotional intelligence has a positive influence on knowledge sharing, and that trust significantly strengthens this relationship by amplifying the effect of emotional intelligence. These results highlight the vital role of trust in creative work settings and offer practical recommendations for distro business stakeholders to foster a collaborative work culture grounded in emotional intelligence and mutual trust.

Value Creation in Nigerian Listed Consumer Goods Firms through Entrepreneurial Cash Management

2025-08-31T21:21:51+08:00

Firms that fail to embrace entrepreneurial cash management often miss critical growth opportunities, underperform in volatile markets, and struggle to meet investor expectations for long-term value. In Nigeria’s challenging financial environment, overreliance on traditional cash management undermines agility, innovation, and financial resilience, leaving listed consumer goods firms vulnerable to stagnation, competitive decline, and underperformance in the capital market unless they adopt entrepreneurial approaches to managing cash as a strategic asset. This study is therefore necessitated by the need to examine how entrepreneurial cash management (proxy by cash level of firm) on corporate value creation (proxy by firm value-added) in Nigerian consumer goods sector. Ex-post facto research design was deployed on a population of 20 listed consumer goods firms. Purposive sampling was used to select a sample size of 15 firms. Secondary data were gleaned from the annual reports of the firms over a ten year period (2015-2024). In addition to descriptive analysis and other model diagnostics, the hypothesis was tested using panel estimated generalised least squares. The finding revealed that entrepreneurial cash management (indexed by cash level of firm) has a significant positive effect on corporate value creation (indexed by firm value-added) in Nigerian consumer goods sector (β = 0.564707, p = 0.0000). In conclusion, in an environment characterized by fluctuating macroeconomic indicators, high financing costs, and market volatility, internally generated liquidity emerges as a vital entrepreneurial asset that enables firms to create sustainable economic value. The study recommends that Chief Financial Officers (CFOs) of need to institutionalize entrepreneurial cash management systems that emphasize strategic liquidity optimization as a deliberate value-creation mechanism by adopting dynamic cash flow forecasting tools, scenario analysis, and contingency planning frameworks that are proactive and data-driven.

Transformation of Noodle Processing Business Productivity through the Role of Business Managers and Innovation in Bondowoso Regency

2025-08-31T21:25:07+08:00

Indonesia’s MSME sector faces growing competition and changing consumer demands. Traditional food processors must improve operational efficiency to stay competitive. However, many still rely on conventional management methods that may not meet today’s market challenges. This study examines the interrelationships between management practices, innovation adoption, and operational performance within food processing MSMEs in East Java. Using Structural Equation Modeling-Partial Least Squares (SEM-PLS), the research analyzed census data from 70 registered enterprises. Primary data were collected through validated questionnaires measuring management capabilities, innovation implementation, and performance outcomes across operational dimensions. The findings reveal significant positive relationships among all variables. Management practices demonstrate substantial direct influence on operational performance (path coefficient = 0.798, p < 0.001) while fostering innovation adoption (path coefficient = 0.504, p < 0.001). Innovation significantly enhances performance outcomes (path coefficient = 0.633, p < 0.001). Crucially, mediation analysis confirms innovation as a significant mediator in the management-performance relationship, explaining how managerial effectiveness translates into operational improvements. The model explains 63.6% of performance variance, with effect size analysis confirming large management effects on performance (f² = 1.372) and moderate effects on innovation (f² = 0.340). Results indicate that effective management creates environments conducive to innovation adoption, subsequently driving operational efficiency. The research establishes innovation as a critical mediating mechanism, suggesting enterprise development programs should integrate management capacity building with innovation facilitation to maximize outcomes.

Green Public Service Innovation: Integrating Environmental Values into Local Government Service Delivery

2025-08-31T21:33:30+08:00

This study explores the integration of environmental values into public service innovation commonly referred to as green public service innovation within the context of local government service delivery in Padang, West Sumatra. Amid escalating environmental challenges and the urgency of achieving Sustainable Development Goals (SDGs), local governments are increasingly expected to move beyond efficiency and adopt eco-conscious service models. This research employs a quantitative approach using Structural Equation Modeling–Partial Least Squares (SEM-PLS) to examine five key variables: organizational commitment, organizational culture, community participation, green leadership, and green public service innovation. The findings reveal that organizational commitment, organizational culture, and community participation all have significant direct impacts on green public service innovation. Furthermore, green leadership not only directly influences innovation but also plays a moderating role by strengthening the effect of organizational commitment on innovation outcomes. The results emphasize that green innovation in the public sector requires more than technology adoption it demands aligned leadership, an enabling institutional culture, and active community involvement. In Padang’s case, local wisdom and environmental awareness present opportunities for designing inclusive and contextualized green innovations. Strong leadership that embeds environmental values into strategic planning and operational systems significantly enhances institutional resilience and citizen trust. The research contributes to public administration literature by offering empirical support for the systemic relationships between organizational factors and sustainable service delivery. It also provides actionable insights for local governments seeking to institutionalize environmental values in public services.

Assessing the Impact of Web-Based e-Performance Applications on Employee Motivation and Discipline: A Quantitative Study in Batanghari Regency

2025-08-31T21:37:28+08:00

This study aims to analyze the effect of using the web-based e-Performance (e-Kinerja) application on the motivation and work discipline of Civil Servants (ASN) in Batanghari Regency. A quantitative approach was employed in this study using an explanatory research design. Data were collected through questionnaires distributed to 187 civil servants across various Regional Government Organizations (OPD), and analyzed using multiple linear regression. The validity and reliability tests showed that all research instruments were valid and reliable. Classical assumption tests also indicated that the data met the requirements of normality, showed no multicollinearity, and were free from heteroscedasticity. The results revealed that the use of the e-Performance application had a positive and significant influence, both simultaneously and partially, on the motivation and work discipline of civil servants. The coefficient of determination (R²) indicated that 36.2% of the variance in motivation and 32.9% of the variance in work discipline could be explained by the use of the e-Performance variable. This application is considered effective in increasing employee expectations regarding performance incentives and strengthening data-based supervision in shaping more orderly and professional work behavior. Furthermore, e-Performance contributes to the transformation of civil servant work culture towards a more transparent, accountable, and results-oriented bureaucracy. These findings offer theoretical implications for the enhancement of technology-based performance management literature, as well as practical implications for local governments in promoting bureaucratic reform through the digitalization of personnel systems.

A Comparative Analysis of Asymmetric Transmission across Monetary Policy Regimes on Interest Rate Pass-Through in Indonesia’s Banking Sector

2025-08-31T21:42:23+08:00

This study examines the interest rate pass-through mechanism in Indonesia by analyzing how changes in the central bank policy rate are transmitted to commercial bank lending and deposit rates. The research focuses on two monetary policy regimes implemented by Bank Indonesia, namely the BI 7-Day Reverse Repo Rate and the new BI Rate introduced after December 2023. Using monthly time-series data from August 2016 to January 2025, the study employs the Error Correction Model and Mean Adjusted Lag to evaluate both the short-term and long-term dynamics of interest rate transmission. The Johansen Cointegration Test is also applied to identify the existence of long-run equilibrium relationships between the policy rate and banking interest rates. The results show that the pass-through process is asymmetric, with lending rates responding more quickly to policy rate increases than deposit rates do to policy rate decreases. The analysis also reveals variation in the speed and completeness of pass-through across the different policy regimes. Specifically, the new BI Rate demonstrates a shorter lag in transmission, suggesting improved responsiveness of the interest rate channel under the updated framework. These findings highlight the evolving nature of monetary policy effectiveness in Indonesia’s financial system and provide a better understanding of interest rate dynamics in an emerging market context.

Transformational Leadership and Work‒Life Balance Effects on Job Satisfaction: Organizational Commitment as a Mediator

2025-08-31T21:50:54+08:00

Employee job satisfaction is a critical determinant of organizational performance, with transformational leadership and work‒life balance emerging as significant factors. However, the literature reveals inconsistent relationships between these variables across different organizational contexts, indicating the need for further investigation into potential mediating variables. This study investigated the impact of transformational leadership and work‒life balance on job satisfaction, with organizational commitment serving as an intervening variable at PTs. PLN (Persero) Marabahan Customer Service Unit. Using a quantitative methodology, data were collected via questionnaires from 58 technical employees selected through purposive sampling. Variables were assessed via Likert scales, and analysis was conducted via structural equation modeling-partial least squares (SEM-PLS) facilitated by Smart PLS-4 software. The findings revealed that both transformational leadership style and work‒life balance positively and significantly influenced job satisfaction among technical personnel. Furthermore, organizational commitment was demonstrated to function effectively as a mediating variable in the relationship between the independent variables (transformational leadership and work-life balance) and the dependent variable (job satisfaction) and to directly enhance employee satisfaction levels. These findings suggest that an inspiring leadership style and a well-balanced work-life environment not only directly improve job satisfaction but also do so through increased organizational commitment, ultimately contributing to employee well-being and productivity.

Can we participate in global value chains in the dark? An empirical study in Africa

2025-08-31T22:12:02+08:00

This study analyses the effect of electricity access on participation in global value chains (GVCs) in 41 African countries between 1990 and 2018. By mobilizing static (fixed effects) and dynamic (two-stage GMM) panel methods, the results show that better access to electricity significantly favours integration into GVCs. The effect remains robust to different measures of electrification and GVC participation. The results also highlight that disparities in access to electricity between urban and rural areas can reinforce unequal integration into global value chains, and that participation is largely determined by the use of fossil fuels. Based on these findings, the study recommends investing in inclusive and sustainable electrification, particularly in rural and industrial areas, and establishing green regulatory frameworks to encourage the adoption of cleaner energies.

Blue Economy Financing: Sustainable Aquaculture in Indonesia

2025-08-31T22:18:46+08:00

The aquaculture sector is a strategic component in Indonesia's marine development, but its sustainability faces serious challenges such as environmental degradation, limited access to finance, and low adoption of environmentally friendly practices. This study aims to analyze the influence of Blue Economy Financing (BEF) on Sustainable Aquaculture (SA), considering the mediating role of environmental, social and governance (ESG) factors. The study uses an explanatory quantitative approach using the Partial Least Squares–Structural Equation Modelling (PLS-SEM) method, based on sample data of 120 seaweed farmers in the coastal area of South Sulawesi. The results of this study show that BEF strongly supports the sustainability of sustainable aquaculture. However, ESG mediation has no effect on increasing the role of BEP in the development of SA. Although the model has adequate predictive capabilities for sustainability, the influence of BEF on ESG is not strong enough to explain and convince the public, investors and the government for the development of SA. To optimize the role of ESG as a catalyst for sustainability, supporting strategies such as institutional strengthening, technological innovation, and integrated policy interventions are needed. This research confirms that BEF is an important instrument in encouraging sustainability transformation in the aquaculture sector. These findings provide practical implications for the development of a more adaptive blue financing scheme in supporting Indonesia's sustainable marine development agenda.

Does AI Sentiment Affect Stock Returns? Evidence from Indonesia’s Banking Sector

2025-08-31T22:29:37+08:00

This study investigates the heterogeneous effects of AI-related investor sentiment on the stock returns of Indonesian banks. Using a correlation-weighted AI Sentiment Index (AI-SVI) derived from Google Trends, panel regressions reveal that only fintech-driven banks show significant responsiveness to AI sentiment, while conventional, independent digital, and conglomerate-backed banks do not. These findings are supported by a supplementary investor perception survey, which confirms that market participants associate visible and strategic AI adoption primarily with fintech institutions. The results suggest that AI sentiment can act as a behavioral signal of valuation in emerging financial markets, but its effectiveness depends on how innovation is perceived and communicated. Policymakers and investors should be cautious in interpreting sentiment-driven movements, especially in sectors with uneven technological maturity.

Impact Twitter (X) Sentiment to Abnormal Return IDX30 Stocks

2025-08-31T22:33:02+08:00

Abnormal return serves as evidence of investors’ irrational behavior in response to unexpected or dramatic information. Such irrational behavior can be reflected in sentiments expressed on social media platforms such as Twitter (X). Recently, we revealed that sentiments expressed on Twitter (X) could influence stocks return rate. In this study, to analyze the effect of sentiment on Twitter (X) on stock price returns, we observed Twitter (X) sentiment and abnormal returns on IDX30 stocks. This research employs secondary data comprising 23,406 tweets related to 30 IDX30-listed stocks during the observation period fom July 2023 to December 2023. The secondary data were processed into sentiment scores and analyzed using Granger causality to examine the predictive ability of sentiment polarity on abnormal returns of IDX30 stocks. The results show that 5 out of 8 listed companies, that have causal relationship betweet positive sentiment and abnormal return, shows positive evaluation Granger Cause abnormal return. It indicated that positive sentiment could predict the abnormal return. Otherwise, 4 out 11 listed companies, that have causal relationship between negative sentiment and abnormal return, shows negative evaluation Granger Cause abnormal return. It indicated that negative sentiment is driven by abnormal returns. This research contributes to a better understanding of the Efficient Market Hypothesis in the Indonesia Stock Exchange and provides recommendation for improving the prediction of abnormal returns in the market through sentiment polarity analysis.

Business Valuation Analysis Using the Discounted Cash Flow (DCF) and Price to Earnings Ratio (PER) Methods: Case Study on Telecommunication Subsector Companies Listed on Indonesia Stock Exchange (IDX)

2025-08-31T22:40:18+08:00

This study aims to analyze business valuation in telecommunication subsector companies listed on the Indonesia Stock Exchange (IDX) using two valuation methods, namely Discounted Cash Flow (DCF) and Price to Earnings Ratio (PER). The data used in this study were obtained from the company's financial statements and stock market data. The results showed that based on the DCF method, PT Indosat Tbk (ISAT) and PT Smartfren Telecom Tbk (FREN) are overvalued, while PT XL Axiata Tbk (EXCL) and PT Telkom Indonesia (Persero) Tbk (TLKM) are undervalued. Meanwhile, based on the PER method, only ISAT shows an undervalued condition, while other companies are also classified as undervalued compared to the industry average. The differences in results between the two methods shows that the selection of valuation methods affects the interpretation of a company’s stock value.

Analysis of Corporate Tax Turnover Ratio as an Indicator of Taxpayer Compliance Level

2025-08-31T22:55:32+08:00

This research focuses on assessing tax potential from the aspect of calculating tax ratios, namely CTTOR, GPM, and NPM as one of the indicator tools to explore taxpayer potential in mapping the risk of non-compliance. This research method uses a descriptive type of research with a quantitative analysis approach. The research technique in data collection uses secondary data, namely audited financial reports obtained from the IDX. The analysis tool uses CTTOR, GPM, and NPM by comparing the tax ratios set from the Directorate General of Taxes. The sample of this study is 3 corporate taxpayers engaged in the animal feed sub-sector. The results of this research show that the average values of CTTOR, GPM, NPM in 2022 are 0.69%, 12.09%, and 2.81% while the DGT benchmark is 2.42%, 16.89%, and 4.78% with a difference of 1.73%, 4.8% and 1.97%. Then the average values of CTTOR, GPM, and NPM in 2023 are 0.71%, 11.99%, and 2.04% with a difference of 1.71%, 4.9% and 2.7% on the DGT benchmark. So it can be concluded from the aspects of CTTOR, GPM, and NPM that the level of corporate tax compliance in the animal feed sub-sector is still below the standards set by the DGT. A significant difference that shows the potential for taxes that have not been explored optimally.