International Journal Management Science and Business
International Journal Management Science and Business with registered number ISSN 2684-8058 (online) ISSN 2657-1951 (Print), is a peer-reviewed journal published two times a year (May and November) by Doctor in Management Program Sekolah Pascasarjana Universitas Pendidikan Indonesia. International Journal Management Science and Business is intended to be the journal for publishing articles reporting the results of research on management science and business. International Journal Management Science and Business invites manuscripts in the various topics include Organizational Behavior, Leadership, Human Resources Management, Innovation, IT, Operations and Supply Chain Management, Marketing Management, Financial Management, Accounting, Strategic Management, Entrepreneurship, and Green Business. International Journal Management Science and Business cooperation with Ikatan Sarjana Ekonomi Indonesia (ISEI) Jawa Barat, Forum Manajemen Indonesia (FMI), Indonesia Marketing Associations DOI Prefix 10.17509/msb by Crossref
Job-Related Training, Skill Utilisation, and Job Quality Across Five PIAAC Countries
Unequal access to job-related training raises questions about whether training improves work beyond wages. Purpose: This study examined associations between training, workplace skill utilisation, non-pay job quality, and relative earnings across five PIAAC countries. Method: PIAAC Cycle 2 data for 20,521 workers in England, Israel, Korea, Sweden, and Switzerland were analysed using official sampling and replicate weights, plausible values, weighted regressions, mediation, moderation, multilevel models, matching, multiple imputation, and sensitivity tests. Results: Training was positively associated with skill utilisation and job quality. Skill utilisation represented approximately 60% of the adjusted training-job-quality association. Associations were stronger among women and workers with lower literacy and numeracy. Training was positively associated with learning, influence, skill use, and higher relative earnings, but not with greater task discretion. Positive job-quality associations appeared in every country, without significant cross-country differences. Conclusion: Training benefits depend on opportunities to apply skills and on supportive, participatory job design; cross-sectional estimates are interpreted as adjusted associations rather than causal effects.
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Digital Payments and Provincial Growth in Indonesia: The Moderating Role of Labor Informality
Introduction. Digital payments expanded rapidly in Indonesia, but their provincial growth relevance may have depended on labor-market structure. Objective. This study examined whether informal employment share moderated the association between server-based e-money adoption and real GRDP per capita growth. Method. A balanced panel of 34 provinces for 2020-2023 (136 province-year observations) was estimated using two-way fixed effects with province-clustered standard errors. The model included an interaction between mean-centered digital-payment adoption and informal employment share and controlled for education, internet penetration, financial depth, and micro- and small-industry structure. Results. The direct association of server-based e-money adoption with growth was positive but statistically insignificant. The interaction was positive and significant, indicating that the estimated association became stronger as labor informality increased. Marginal effects were significant only at the upper evaluated level of informality. Conclusion. Digital-payment expansion was not uniformly growth-relevant across provinces; its association with growth was stronger where informal employment was more prevalent. Targeted digital inclusion policies should combine payment access with digital skills, merchant integration, and pathways to formal finance.
Management Accounting and Managerial Decision-Making in Selected Nigerian Public Institutions: Evidence from the Fourth Republic
The need for increased efficiency and effectiveness of delivery of public services through greater demands of accountability and transparency is making management accounting very important in public administration. Since the return to democratic rule in 1999, the public agencies in Nigeria have experienced various reforms in public financial management in order to improve the effectiveness of management and organizational performance. This paper will try to assess the contribution of management accounting to managerial decisions in selected public agencies in Nigeria during the Fourth Republic era (1999 to date). The research uses a document research approach using secondary data collected from literature sources. The authors maintain that management accounting is essential insofar as the provision of pertinent financial and non-financial information to enable managers in their planning, budgeting, performance evaluation, allocation of resources, and decision-making processes is concerned. Despite the considerable reforms such as TSA, IPPIS, GIFMIS, and IPSAS, there exist certain institutional factors which have been responsible for undermining the practice of good management accounting. Such institutional obstacles consist of politics, weak professional capability, inadequate information systems, ineffective internal controls, and corrupt practices. In summary, it is suggested that good management accounting systems are very important in Nigeria for evidence-based decision-making, good governance, and fiscal responsibility and discipline. Keywords: Management Accounting, Managerial Decision-Making, Public Institutions, Public Financial Management, Nigeria
The Impact of Free Trade Agreements on Uzbekistan's Textile Industry
This study examines the impact of Free Trade Agreements (FTAs) and partner-country macroeconomic conditions on the performance of Uzbekistan's textile industry between 2017 and 2022. Using a balanced panel dataset of 72 observations covering six major trading partners — China, Russia, Kazakhstan, the Kyrgyz Republic, Tajikistan, and Turkmenistan — the study applies Fixed Effects (FE) and Random Effects (RE) panel regression models, with the Hausman test used to select the preferred specification. Trade data were obtained from the UN Comtrade database (HS codes 50–63), macroeconomic indicators from the World Bank's World Development Indicators, and FTA status was coded as a dummy variable based on the CIS Free Trade Area Agreement (2012) and the Uzbekistan– China Economic and Trade Cooperation Framework (2018). The Fixed Effects results show that FTAs have a positive and statistically significant effect on both textile exports (β = 0.213, p < 0.05) and imports (β = 0.178, p < 0.10), corresponding to roughly a 21 percent increase in exports during FTA- active years. Partner-country GDP growth is positively associated with trade performance, while inflation exerts a significant negative effect; exchange-rate movements are statistically insignificant. The models explain a substantial share of the variation in trade flows (R² = 0.73 for exports; 0.68 for imports). The findings support Comparative Advantage, Gravity, and New Trade Theory predictions and suggest that Uzbekistan's trade liberalization strategy has contributed to export growth and industrial upgrading. Policy recommendations include expanding the FTA network, strengthening macroeconomic stability among partner countries, and investing in customs and logistics infrastructure to sustain the gains from trade liberalization.
The Impact of Economic Growth on Unemployment in Central Asia
This study examines the relationship between economic growth and unemployment in Kazakhstan, Uzbekistan, Kyrgyzstan, Tajikistan, and Turkmenistan using a balanced annual panel for 1999–2024 (130 country-year observations). Unemployment is the dependent variable, real GDP growth is the principal explanatory variable, and consumer-price inflation is included as a macroeconomic control. The empirical strategy combines descriptive analysis, a Fisher-type panel unit root test based on Augmented Dickey–Fuller procedures, Fixed Effects (FE) and Random Effects (RE) estimation, the Hausman specification test, and a Modified Wald test for groupwise heteroskedasticity. The Hausman test (χ²=0.43, p=0.8051) favors the RE specification. In the preferred model, GDP growth has a positive and statistically significant coefficient (β=0.0645, p=0.033), while inflation is positive but statistically insignificant (β=0.0175, p=0.285). The positive growth coefficient is contrary to the conventional negative relationship predicted by Okun’s Law and suggests that output expansion in Central Asia was not uniformly employment-generating during the sample period. The result is interpreted as an association rather than a causal effect and may reflect capital-intensive growth, migration, informality, demographic pressure, and skills mismatch. Because groupwise heteroskedasticity is detected and unemployment is non-stationary in levels, statistical inference is interpreted cautiously. The study contributes region-specific evidence on the limits of translating aggregate GDP growth into broad labor-market improvements and highlights the importance of the sectoral composition and employment intensity of growth
The Impact of Foreign Direct Investment on Economic Growth in Central Asia: Evidence From Panel Data Analysis (1995–2023)
Foreign direct investment (FDI) has long been regarded as a key channel through which capital, technology and managerial know-how are transferred to transition economies. This study examines the impact of FDI on economic growth in five Central Asian countries — Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan and Uzbekistan — over the period 1995–2023. Using a balanced panel dataset compiled from the World Bank's World Development Indicators, UNCTAD and the IMF, the study applies second-generation panel econometric techniques. Cross-sectional dependence is tested using the Pesaran CD test, stationarity is examined with the CIPS unit root test, and the long-run equilibrium relationship is verified through the Westerlund cointegration test. Long-run coefficients are estimated using Fully Modified OLS (FMOLS) and Dynamic OLS (DOLS), while the two-step System GMM estimator is employed to address endogeneity. Finally, the Dumitrescu–Hurlin panel causality test is applied to determine the direction of causality. The results indicate that FDI exerts a positive but relatively modest effect on GDP per capita, whereas gross fixed capital formation, trade openness and human capital are stronger and more robust drivers of growth. Institutional quality is found to significantly moderate the FDI–growth relationship, implying that FDI contributes to growth only when the institutional environment surpasses a certain threshold. Causality runs bidirectionally between FDI and economic growth. The findings suggest that Central Asian policymakers should prioritise diversifying FDI away from extractive industries, strengthening institutional quality, and enhancing domestic absorptive capacity in order to maximise the growth benefits of foreign capital.