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EDITORIAL OFFICE OF JURNAL ECONOMICS AND DIGITAL BUSINESS REVIEW (ECOTAL) Yayasan Bata Ilyas, STIE Amkop Makassar, Jl. Meranti No.1, Pandang, Kec. Panakkukang, Kota Makassar, Sulawesi Selatan 90231
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INDONESIA
Economics and Digital Business Review
ISSN : -     EISSN : 27742563     DOI : https://doi.org/10.37531/ecotal.v4i2.594
Core Subject : Economy, Science,
Economics and Digital Business Review, is published by STIE Amkop Makassar in 2020, with registered number ISSN : 2774-2563 (Online), is a peer-reviewed journal published Economics and Digital Business Review published two times a year (January & July) by STIE Amkop Makassar, It provides an academic platform for professionals and researchers to contribute innovative work in the field. Economics and Digital Business Review carries original and full-length articles that reflect the latest research and developments in both theoretical and practical aspects of economics, The online version is free access and download. Call For Research Papers !! Jurnal ini dimaksudkan sebagai media berbagi ilmu pengetahuan dan karya ilmiah di kalangan akademisi yang menggeluti bidang akuntansi dan manajemen. Jurnal Volume V Issue 2 akan diterbitkan pada Februari 2024 sampai Juli pada Tahun 2024. Tim redaksi Economics and Digital Business Review menerima naskah yang belum dipublikasi oleh media lain. Pedoman penulisan naskah tercantum pada bagian Menu. Surat menyurat naskah yang akan diterbitkan, langganan dan lainnya dialamatkan langsung ke alamat redaksi. DOI: https://doi.org/10.37531/ecotal.v5i2
Articles 15 Documents
Search results for , issue "Vol. 7 No. 1 (2026)" : 15 Documents clear
Nurses’ Competence and Operational Performance: Mediating Effects of Process Effectiveness and Service Reliability Wahyuni, Sri Ummi; Mahfudnurnajamuddin, Mahfudnurnajamuddin; Suriyanti, Suriyanti
Economics and Digital Business Review Vol. 7 No. 1 (2026)
Publisher : STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/ecotal.v7i1.3600

Abstract

This study aims to analyze the effect of competence on nurses’ operational performance, with process effectiveness and service reliability as mediating variables at Andi Makkasau Regional General Hospital, Parepare City. The research employed a quantitative design using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The population consisted of 380 nurses, and 195 respondents were selected using the Slovin formula. Data were collected through structured questionnaires measuring competence, process effectiveness, service reliability, and operational performance. The results indicate that competence has a positive and significant effect on process effectiveness, service reliability, and nurses’ operational performance. Furthermore, both process effectiveness and service reliability significantly improve operational performance. Mediation testing shows that competence indirectly enhances operational performance through improving work process effectiveness and service reliability. These findings suggest that strengthening professional competence contributes not only directly to performance but also indirectly through better work systems and more dependable healthcare services. The study implies that hospital management should prioritize competency-based training, workflow optimization, and service standardization to improve service quality. Future research is recommended to explore additional organizational or psychological factors influencing healthcare performance in broader institutional contexts.
Interconnectedness of Global and Digital Assets: Cryptocurrencies, Gold, and Exchange Rates During 2021–2024 Safiira, Tsulatsa Nur; Safitri , Maria; Chasanah, Amalia Nur; Zaretta, Bara
Economics and Digital Business Review Vol. 7 No. 1 (2026)
Publisher : STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/ecotal.v7i1.3603

Abstract

Purpose: This study examines whether fluctuations in global assets—cryptocurrencies, gold, and the rupiah exchange rate—provide signals for movements in the Indonesian Composite Stock Price Index (JCI) during 2021–2024. Research Design and Methodology: Using 48 monthly time-series observations obtained from official financial data sources, the study applies a quantitative approach with multiple linear regression analysis using EViews 12 to evaluate both partial and simultaneous effects of the variables on the JCI. Findings and Discussion: The results show that cryptocurrency has a significant negative relationship with the JCI, while gold exhibits a significant positive relationship. In contrast, the exchange rate does not have a significant effect on the JCI. Simultaneously, the three variables contribute to explaining JCI variations, although with different magnitudes of influence, indicating differing roles of digital and traditional safe-haven assets in capital market dynamics. Implications: These findings suggest that investors and policymakers should consider global asset dynamics when interpreting Indonesian capital market conditions. Future research is recommended to include additional macroeconomic indicators and higher-frequency data to capture short-term transmission mechanisms more comprehensively.
Financial Stress-Test of the Palm Oil Industry: Bankruptcy Prediction Using the Modified Altman Z-Score During the Downturn Phase Polii, Harke Revo Leonard; Kainde, Sandra J.R.; Pangemanan, Rifal Richard
Economics and Digital Business Review Vol. 7 No. 1 (2026)
Publisher : STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/ecotal.v7i1.3605

Abstract

This study aims to predict the bankruptcy potential of Plantation Sub-Sector companies listed on the Indonesia Stock Exchange (IDX) during the critical downturn cycle of 2017-2019. This period serves as a stress-test window following the commodity boom. Employing a descriptive quantitative approach, the research analyzes secondary data from 10 companies selected through purposive sampling. The primary analytical tool is the Modified Altman Z-Score model. The results indicate severe financial distress within the sector due to price volatility and aggressive downstreaming policies. Specifically, out of the 10 sampled companies, only 1 company was classified as "Healthy" (Z > 2.60), 1 company was identified as "Vulnerable" or in the grey area (1.10 < Z < 2.60), and 8 companies were predicted to be "Bankrupt" (Z < 1.10). These empirical findings suggest a critical vulnerability in the plantation sector, highlighting an urgent need for financial restructuring and strategic management improvements to navigate post-boom challenges and ensure long-term sustainability. Keywords: Bankruptcy Prediction, Modified Altman Z-Score, Plantation Sub-Sector, Financial Distress.
Bank Health Analysis Using the Camel Method at PT. Bank Syariah Indonesia Tbk 2022-2024 Nisa, Syafira Enggar Khoirul; Murwanti, Sri
Economics and Digital Business Review Vol. 7 No. 1 (2026)
Publisher : STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/ecotal.v7i1.3608

Abstract

This research endeavors to examine the soundness level of PT Bank Syariah Indonesia Tbk during the time frame of 2022–2024 utilizing the CAMEL framework, which encompasses Capital, Asset Quality, Management, Earnings, and Liquidity. The study adopts a quantitative descriptive methodology, employing secondary data procured from the annual financial statements disseminated by PT Bank Syariah Indonesia Tbk and the Indonesia Stock Exchange. The analytical process involves the computation of essential financial ratios, such as the Capital Adequacy Ratio (CAR), Non-Performing Financing (NPF), Net Profit Margin (NPM), Operating Expenses to Operating Income (BOPO), and Financing to Deposit Ratio (FDR), subsequently followed by trend analysis and juxtaposition with the soundness benchmarks delineated by Bank Indonesia. The findings reveal that PT Bank Syariah Indonesia Tbk consistently sustained a condition classified as healthy to very healthy throughout the duration of the study. The CAR ratio consistently surpassed the regulatory minimum, signifying robust capital adequacy. Asset quality exhibited a progressive enhancement, as evidenced by a persistent reduction in the NPF ratio. The performance of management and profitability demonstrated favorable trajectories, as indicated by the rising NPM and declining BOPO ratios, which denote improved operational efficiency. Regarding liquidity, the FDR ratio remained within acceptable thresholds, reflecting effective intermediation while preserving liquidity stability. In summary, the results indicate that PT Bank Syariah Indonesia Tbk showcased stable financial performance and reinforced soundness across all CAMEL dimensions throughout the period of 2022–2024.
Analysis of the Impact of E-Money on the Money Supply in Indonesia Husnia, Nafidatul; Hasmarini, Maulidyah Indira
Economics and Digital Business Review Vol. 7 No. 1 (2026)
Publisher : STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/ecotal.v7i1.3610

Abstract

The rise of digital payment systems, particularly e-money, is poised to revolutionize liquidity dynamics and monetary transmission processes in Indonesia. This research seeks to dissect the impact of e-money transactions on the money supply (M2), factoring in inflation and credit card transaction values. Employing a quantitative methodology, the study draws on monthly time series data from 2022 to 2024, sourced from Bank Indonesia and the Central Statistical Agency. The analytical framework is grounded in multiple linear regression utilizing Ordinary Least Squares (OLS), alongside classical assumption testing to ensure valid estimations. The findings reveal that e-money exerts a positive and significant influence on the money supply, whereas credit card transactions show a negative and significant impact, and inflation does not yield any significant effect. These results underscore a transformation in money supply dynamics, increasingly shaped by shifts in transaction behavior and the heightened utilization of digital payment tools, in contrast to traditional monetary influences. This signifies a realignment in monetary transmission mechanisms, where liquidity now reflects not only inflationary pressures but also the velocity of money circulation propelled by the digitization of payments. The policy implications highlight the necessity of weaving the advancement of digital payment systems into the fabric of monetary policy formulation and liquidity management.
Determinants of Female Worker Productivity in Indonesia: Panel Data Analysis Putri, Arvina Fastika; Anas, Muhammad
Economics and Digital Business Review Vol. 7 No. 1 (2026)
Publisher : STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/ecotal.v7i1.3616

Abstract

Labor productivity is an important indicator in assessing the efficiency and quality of human resources in producing output and their contribution to the economy. This study aims to estimate the effect of the number of female workers, female education levels, female human development index, gender empowerment index, and female wage levels on female labor productivity in Central Java Province from 2019 to 2023 using panel data regression with the Fixed Effects Model (FEM) approach. The regression results show that the number of female workers has a negative effect on female labor productivity, while the level of female education, female human development index, gender empowerment index, and female wage levels have a positive effect on female labor productivity. Therefore, the government is expected to formulate policies that focus on improving the quality and empowerment of female labor through education, health, and gender equality, as well as strengthening production efficiency so that the increase in the number of female workers can be balanced with increased productivity
Job Enrichment Model Development Human-Centered Design in Reducing Job Hopping Intention of Generation Z Employees in North Sumatra Bahri, Taufik Yuandika
Economics and Digital Business Review Vol. 7 No. 1 (2026)
Publisher : STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/ecotal.v7i1.3618

Abstract

The phenomenon of job hopping intention among Generation Z employees has become a serious challenge for organizations, particularly in North Sumatra, which is experiencing economic growth. This study aims to develop a Human-Centered Design (HCD)–based job enrichment model to reduce job hopping intention among Generation Z employees. This study employs a mixed-methods approach with a sequential exploratory design. The qualitative phase was conducted through in-depth interviews and Focus Group Discussions (FGDs) to explore the work needs, preferences, and perceptions of Generation Z toward their jobs. The qualitative findings were used to formulate contextually relevant dimensions of HCD-based job enrichment. The quantitative phase involved a survey of 150 Generation Z employees across various service, manufacturing, and banking companies in North Sumatra. The sampling technique used was purposive sampling. Data analysis was conducted using Structural Equation Modeling (SEM-PLS) with SmartPLS. The results indicate that HCD-based job enrichment has a positive and significant effect on work engagement and job satisfaction, and a significant negative effect on job hopping intention. Work engagement and job satisfaction were found to partially mediate the relationship between job enrichment and job hopping intention. This study produces a conceptual and practical model for the development of HCD-based job enrichment that can be implemented by organizations to reduce job hopping intention among Generation Z employees in North Sumatra.
A Comparative Study of Gen Z Consumer Behavior of Shopee Users in Surakarta Aisyah, Fadilla Nur; Abidin, Ali Zainal
Economics and Digital Business Review Vol. 7 No. 1 (2026)
Publisher : STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/ecotal.v7i1.3620

Abstract

This study aims to compare the level of consumptive behavior among Generation Z users of the Shopee application in Surakarta City based on their status as students, university students, and young workers. The rapid growth of the e-commerce, accompanied by the convenience of digital features scuh as free shipping, flash sales, product reviews, and digital payment systems, has driven changes in Generation’s consumption patterns. This research employed a descriptive quantitative approach with a purposive sampling technique involving 102 respondents, consisting of 34 high school, 34 university students, and 34 young workers. Data were collected through Likert-scale questionnaires and interviews, then analyzed using descriptive statistics with assistance of SPSS version 25. The results indicate differences in the level of consumptive behavior among the groups, where university students exhibit the highest average level of consumptive behavior, followed by young workers, while high school students show the lowest level. These differences are influenced by income level, lifestyle, and social environmental factors such as peer influence and social media. Furthermore, Shopee features that most influence purchasing decisions are product reviews and ratings, free shipping, and flash sales, while Shopee Live and PayLater show a more limited influence. Comparatively, this study demonstrates that generations Z’s consumptive behavior develops in line with changes in socio-economic status and the intensity of e-commerce platform usage.
Cohesiveness and Emotional Intelligence as Predictors of Clinical Performance among Staff Nurses in a Tertiary Hospital Firda Hanannisa, Renasha; Suwarsi, Sri; Tejasari, Maya
Economics and Digital Business Review Vol. 7 No. 1 (2026)
Publisher : STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/ecotal.v7i1.3621

Abstract

Purpose: This study examines whether team cohesiveness and emotional intelligence significantly predict the clinical performance of inpatient nurses.Research Design and Methodology: A quantitative cross-sectional survey was conducted among 197 staff nurses in a tertiary referral hospital in Bandung, Indonesia. Data were collected using structured questionnaires measuring cohesiveness, emotional intelligence, and performance. Instrument validity and reliability were confirmed, followed by classical assumption testing and multiple linear regression analysis, including t-tests, F-tests, and coefficient of determination.Findings and Discussion: Both cohesiveness and emotional intelligence were rated high by respondents and showed positive and significant effects on nurse performance, both partially and simultaneously. The model explained 36.2% of the variance in performance, indicating that interpersonal and emotional competencies are meaningful but not exclusive determinants of clinical outcomes.Implications: Strengthening teamwork climate and emotional competence development programs may improve nursing performance. Hospital management should integrate team-based training and emotional intelligence development into workforce policies, while future studies should incorporate organizational and leadership variables to increase explanatory power.
Analysis Of The Influence Of Economic Factors On The Divorce Rate In Gorontalo Province Dama, Suriyanti; Saleh, Sri Endang; Abdul, Irawati
Economics and Digital Business Review Vol. 7 No. 1 (2026)
Publisher : STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/ecotal.v7i1.3627

Abstract

This study examines the partial and simultaneous effects of unemployment, education, and poverty on divorce rates in Gorontalo Province. Using an associative quantitative approach, the research analyzes seven years of secondary time-series data (2018–2024) obtained from the Central Statistics Agency (BPS) of Gorontalo Province. The study applies panel data regression to evaluate relationships among variables. The findings show that unemployment significantly influences divorce rates, indicating that higher unemployment is associated with a greater likelihood of divorce. Education level has a significant negative effect, meaning higher educational attainment tends to reduce divorce occurrences. Poverty demonstrates a significant positive effect, suggesting increased poverty elevates divorce risk. Simultaneously, unemployment, education, and poverty jointly exert a significant influence on divorce rates, confirming that divorce represents a multidimensional social phenomenon shaped by interacting economic and social conditions over time. These results highlight the importance of integrated policy interventions, including employment expansion, educational improvement, and poverty alleviation programs, to reduce family instability. Future research is recommended to incorporate cultural and psychological variables to better understand regional variations in marital dissolution.

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