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Restu Hayati
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Badan Penerbit Fakultas Ekonomi Universitas Islam Riau JL. Kaharuddin Nasution Km 11. Marpoyan Damai - Pekanbaru Riau
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Jurnal Ekonomi KIAT
Published by Universitas Islam Riau
ISSN : 14103834     EISSN : 25977393     DOI : 10.25299
Core Subject : Economy, Science, Social,
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice
Journal Ekonomi KIAT is a scientific journal published by the Faculty of Economics and Business, Universitas Islam Riau. The purpose of Jurnal Ekonomi Kiat is to disseminate the results of research, study, and development in the fields of economics and finance, in particular in the fields of accounting, management, capital markets, business law, taxation, information systems, and other fields of economics and finance. The focus and scope of this journal are subjected to the area of economics and finance in particular in the fields of accounting, management, capital markets, business law, taxation, information systems, and other fields of economics and finance. Jurnal Ekonomi KIAT invites papers on a wide range of topics, including the following (but not limited on these topics area) : Accounting Business Management Capital market Business Law Taxation Information System
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 222 Documents
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Leveraging dynamic capabilities for green transformation: A strategic path to sustainable supply chain performance in the Nigerian cement industry Remi-Aworemi , Favour Iretomiwa; Salami, Akeem Olanrewaju
Jurnal Ekonomi KIAT Vol. 37 No. 1 (2026): June
Publisher : UIR Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/kiat.2026.28245

Abstract

Purpose: This study examines the whether the dimensions of the Dynamic Capabilities View (DCV), sensing, seizing, and reconfiguring capabilities, directly predict sustainable supply chain performance (SSCP) in the Nigerian Cement industrial. Design/methodology/approach: The quantitative cross-sectional survey of 385 employees across Dangote Cement Plc., Lafarge Africa Plc., and BUA Cement Plc. was analysed through structural equation modelling (SEM) implemented in IBM SPSS AMOS version 23. A two-stage analytical procedure encompassing confirmatory factor analysis (CFA) for measurement model evaluation and structural path estimation was adopted. Bias-corrected bootstrap confidence intervals from 5,000 resamples were used to verify the robustness of all structural paths. Findings: The result demonstrated excellent psychometric properties and outstanding fit. All the three capability dimensions exerted significant positive direct effects on SSCP: sensing capability was the strongest predictor, followed by seizing capability and reconfiguring capability. Bootstrap confidence intervals confirmed the reliability of all three structural paths. Limitations and Research implications: The cross-sectional, single-industry design limits causal inference and generalisability. Longitudinal designs incorporating objective emissions and efficiency data across multiple sectors are warranted. Practical Implications: Nigerian cement industry should build formal environmental intelligence systems, invest deliberately in green technology, and restructure supply chain governance to institutionalise sustainability. Policymakers should complement regulatory enforcement with capacity-building support and green financing instruments aligned with Sustainable Development Goal 9. Originality/value: This study provides the first SEM-based empirical test of all three DCV micro-foundations as independent direct predictors of SSCP in Sub-Saharan Africa, contributing both theoretical extension and actionable guidance for an underrepresented industrial context.
Transformational leadership and employee work quality in Nigerian Universities: The mediating role of teamwork effectiveness Idris Adegboyega, Onikoyi; Arinloye, Felicia Omowumi
Jurnal Ekonomi KIAT Vol. 37 No. 1 (2026): June
Publisher : UIR Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/kiat.2026.28427

Abstract

Purpose: This study examines the structural relationship between transformational leadership and employee work quality in Nigerian Universities: The mediating role of teamwork effectiveness. Design/methodology/approach: A quantitative cross-sectional survey design was adopted. Stratified random sampling yielded 380 academic and non-academic staff respondents. Covariance-based structural equation modelling (CB-SEM) in IBM AMOS 23 was used to test the hypothesised relationships, supported by bias-corrected bootstrapping with 5,000 resamples. Findings: Transformational leadership did not exert a statistically significant direct effect on employee work quality through teamwork effectiveness. Teamwork effectiveness was the dominant direct predictor of work quality, and the structural pattern of results supports full mediation: the influence of transformational leadership on work quality is fully channelled through the collaborative team environment it constructs covariance. Limitations and Research implications: The cross-sectional design precludes causal inference, and the sample is restricted to Southwest Nigeria. Future research should employ longitudinal designs and extend sampling across multiple geopolitical zones and national contexts. Practical Implications: University administrators and policymakers should reorient performance improvement strategies from a narrow focus on individual leadership capacity to an integrated model that couples leadership development with deliberate team architecture, role clarity, and collaborative process design across academic and administrative units. Originality/value: This study provides the first CB-SEM-based test of teamwork effectiveness as a full mediator between transformational leadership and work quality in Nigerian universities. It contributes a methodologically rigorous Nigerian data point to the cross-regional literature and offers a documented demonstration of the consequences of model misspecification in CB-SEM.

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