scholarly journals Evaluation of green and sustainable supply chain management using structural equation modelling: A systematic review of the state of the art literature and recommendations for future research

2020 ◽  
Vol 249 ◽  
pp. 119383 ◽  
Author(s):  
Abbas Mardani ◽  
Devika Kannan ◽  
Robert E. Hooker ◽  
Seckin Ozkul ◽  
Melfi Alrasheedi ◽  
...  
2012 ◽  
pp. 21-27
Author(s):  
Wan Hasrulnizzam Wan Mahmood ◽  
Mohd Nizam Ab Rahman ◽  
Baba Md Deros

Environmental issues such as pollution and the use of unrecyclable material are considered the global crises. As a result, green supply chain management (GSCM) was introduced as an alternative to the traditional approach of supply chain management (SCM) for environmental sustainability. This paper examines the impact of GSCM practices on the performance of: manufacturing, environment and economy by structural equation modelling. A total of 104 respondents were randomly selected from MS ISO 14001 manufacturing certified companies’ represent 43.15 percent of the population. . The variables and the relationships between variables in the structural equation model are determined via interview with 24 representatives from various companies. The structural equation modelling analysis confirmed that there is a positive correlation between the variables especially greening production and manufacturing performance, environmental performance, and economic performance; while manufacturing performance has significant influence on the environmental performance. Isu alam sekitar seperti pencemaran dan penggunaan sumber yang tidak boleh dikitar semula menjadi permasalahan global. Justeru, pengurusan rantaian pembekalan hijau (GSCM) diperkenalkan sebagai alternatif kepada pendekatan tradisional pengurusan rantaian pembekalan (SCM) untuk melestarikan kepentingan alam sekitar. Kajian mengkaji kesan pengamalan GSCM ke atas prestasi: pembuatan, alam sekitar dan ekonomi melalui reka bentuk dan pengesahan model persamaan struktural. Seramai 104 responden dipilih secara rawak mewakili 43.15 peratus bilangan populasi syarikat pembuatan yang mendapat pengiktirafan MS ISO 14001. Ciri – ciri pemboleh ubah dan hubungan antara pemboleh ubah dalam model persamaan struktural ditentukan melalui temu bual dengan 24 wakil pengurusan di pelbagai syarikat. Analisis model persamaan struktural menunjukkan terdapat perhubungan yang signifikan di antara pemboleh ubah di mana elemen GSCM iaitu pengeluaran hijau dapat memberikan impak kepada prestasi pembuatan, prestasi alam sekitar dan prestasi ekonomi, termasuk prestasi pembuatan menunjukkan pengaruh signifikan terhadap prestasi alam sekitar.


Author(s):  
Craig R. Carter ◽  
Marc R. Hatton ◽  
Chao Wu ◽  
Xiangjing Chen

Purpose The purpose of this paper is to update the work of Carter and Easton (2011), by conducting a systematic review of the sustainable supply chain management (SSCM) literature in the primary logistics and supply chain management journals, during the 2010–2018 timeframe. Design/methodology/approach The authors use a systematic literature review (SLR) methodology which follows the methodology employed by Carter and Easton (2011). An evaluation of this methodology, using the Modified AMSTAR criteria, demonstrates a high level of empirical validity. Findings The field of SSCM continues to evolve with changes in substantive focus, theoretical lenses, unit of analysis, methodology and type of analysis. However, there are still abundant future research opportunities, including investigating under-researched topics such as diversity and human rights/working conditions, employing the group as the unit of analysis and better addressing empirical validity and social desirability bias. Research limitations/implications The findings result in prescriptions and a broad agenda to guide future research in the SSCM arena. The final section of the paper provides additional avenues for future research surrounding theory development and decision making. Originality/value This SLR provides a rigorous, methodologically valid review of the continuing evolution of empirical SSCM research over a 28-year time period.


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