Research Article
The Mediating Impact of Green Management on the Relationship Between Green Supply Chains and Firm Performance
Niu Lixia,
Muhammad Mansab*
,
Amarah Malik,
Shahzad Sadiq,
Wajid Ali
Issue:
Volume 14, Issue 6, December 2025
Pages:
225-239
Received:
26 September 2025
Accepted:
15 October 2025
Published:
28 November 2025
Abstract: Purpose: This study explores the mediating role of green management in the relationship between green supply chain management (GSCM) practices and firm performance among Chinese and Pakistani companies. It aims to clarify how sustainable operational strategies and environmental initiatives enhance organizational efficiency and competitiveness in emerging markets. Design/methodology/approach: Quantitative data were collected from 200 firms listed on the Chinese and Pakistani stock exchanges between 2014 and 2024, selected through purposive sampling. Statistical analyses were conducted using Python and SPSS (version 26), and structural equation modeling (SEM) was applied to examine the direct and indirect relationships among GSCM, green innovation, and firm performance. Findings: The results reveal that GSCM practices do not directly influence firm performance; however, green innovation fully mediates this relationship. Firms that integrate green management and innovation achieve higher efficiency, improved environmental compliance, and stronger competitive advantages. Originality/value: This study provides empirical evidence on the mediating effect of green innovation in the GSCM–performance nexus, particularly in the context of China and Pakistan. The findings contribute to the growing body of literature on sustainable operations and offer practical guidance for firms seeking to enhance environmental and economic performance through green management initiatives.
Abstract: Purpose: This study explores the mediating role of green management in the relationship between green supply chain management (GSCM) practices and firm performance among Chinese and Pakistani companies. It aims to clarify how sustainable operational strategies and environmental initiatives enhance organizational efficiency and competitiveness in em...
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Methodology Article
A Conceptual Framework and Research Methodology for Analyzing Ethiopia's Export Performance Determinants
Issue:
Volume 14, Issue 6, December 2025
Pages:
240-253
Received:
30 October 2025
Accepted:
19 November 2025
Published:
17 December 2025
DOI:
10.11648/j.ijber.20251406.12
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Abstract: This study developed and empirically tested a Resource-Based View (RBV) and Contingency Theory model to investigate the determinants of export performance among Ethiopian manufacturing firms (textile, garment, leather). It posited that export marketing mix strategy acts as a crucial mediator linking internal (managerial, firm-specific) and external (competitive, mar-ket) factors to overall export success. Employing a sequential mixed-methods design (QUANT → QUAL), the research ana-lyzed data from a large sample of 389 exporting firms. Quantitative analysis utilized Structural Equation Modeling (SEM), alongside specialised econometric techniques—including the Tobit model (for export intensity) and the Probit model (for di-chotomous outcomes)—to ensure appropriate dependent variable handling. Findings confirmed the significant, mediating role of strategic marketing choices in translating resources and environmental pressures into performance. The results offer valua-ble, actionable insights for managers optimizing resource allocation and policymakers seeking to enhance national export development programs, providing a robust, context-specific framework for emerging economies.
Abstract: This study developed and empirically tested a Resource-Based View (RBV) and Contingency Theory model to investigate the determinants of export performance among Ethiopian manufacturing firms (textile, garment, leather). It posited that export marketing mix strategy acts as a crucial mediator linking internal (managerial, firm-specific) and external...
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Research Article
The Research Method Used to Convince Un-Banked People to Start E-Banking: Cluster Sampling as a Methodology to Pick a Reliable Sample
Bongani Harry Diako,
Sam Lubbe*
Issue:
Volume 14, Issue 6, December 2025
Pages:
254-266
Received:
10 September 2025
Accepted:
7 October 2025
Published:
19 December 2025
DOI:
10.11648/j.ijber.20251406.13
Downloads:
Views:
Abstract: This paper provides a critical review of a research study on the factors influencing e-banking adoption among digitally unbanked seniors in South Africa. The critique evaluates the study's methodological rigor, theoretical foundation, and the validity of its core arguments. While the study's research design, including its multi-stage cluster sampling and sample size calculation, is technically robust, this analysis reveals significant flaws in its intellectual foundation. The study's philosophical stance is internally contradictory, and it contains severe citation errors, most notably the conflation of Structural Equation Modeling (SEM) with Scanning Electron Microscopy (SEM). The critique concludes that the study, despite its methodological strengths, is fundamentally undermined by these errors. This commentary contributes to the academic discourse on research integrity and the responsible application of quantitative methods in social science.
Abstract: This paper provides a critical review of a research study on the factors influencing e-banking adoption among digitally unbanked seniors in South Africa. The critique evaluates the study's methodological rigor, theoretical foundation, and the validity of its core arguments. While the study's research design, including its multi-stage cluster sampli...
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