Impact of knowledge management capability and green supply chain management practices on firm performance

Abstract

Knowledge management is one of the most important strategic resources of the firm which has been ascertained to many organizations to acquire and apply it before their competitor for achieving competitive advantages. Similarly, due to rising environmental awareness among customers, governments, NGOs, and researchers, firms are facing increasing pressure to implement environmental management practices in their operations. The purpose of this paper is to identify the influence of knowledge management capability (KMC) on green supply chain management (GSCM) practices adoption of the manufacturing firm and subsequently the impact on firm performance. The data were collected from 262 Bangladeshi textile manufacturing firms and analyzed using structural equation modeling, typifying that exploratory and quantitative research. Drawing upon the resource-based view the study revealed that KMC has a significant positive effect on internal and external-GSCM practices adoption. Further, the study revealed that internal-GSCM practices have significantly positive effects on both economic and environmental performance while the external-GSCM practice has positive environmental performance but negatively affects economic performance. Finally, this study indicates that KMC is an intuitive resource of a firm that can bring sustainable performance through GSCM practices.

Keywords: {'name': 'Knowledge Management'}, {'name': 'Green Supply Chain Management'}, {'name': 'Firm Performance'}

Authors & affiliations

Ahashan Habib
Affiliation not supplied

Yukun Bao
Affiliation not supplied

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Supplied references, not a list of publications citing this article.

References

DOI: 10.3390/logistics2040021

DOI: 10.1108/JKM-09-2017-0409

DOI: 10.1177/014920639101700108

BGMEA. (2019). About Garment Industry of Bangladesh.Retrieved March 7, 2019, from http://www.bgmea.com.bd/home/about/AboutGarmentsIndustry.

DOI: 10.1108/JKM-02-2016-0071

BTMA. (2019). Retrieved March 9, 2019, from http://www.btmadhaka.com/.

DOI: 10.1080/00207540903349039

Chin, W. W. (1998). The partial least squares approach to structural equation modeling. ModernMethods for Business Research,, 295, 295-336.

Chin, W. W. (1998b). Commentary: issues and opinion on structural equation modelling. MIS Q., 22(1), xii-xvi.

DOI: 10.3390/su9050764

DOI: 10.1016/j.eswa.2004.05.008

DOI: 10.1108/13673270510602809

DOI: 10.1016/j.jclepro.2017.11.074

DOI: 10.1108/13673270710762684

DOI: 10.1002/1097-0266(200010/11)21:10/11<1105::AID-SMJ133>3.0.CO;2-E

DOI: 10.1016/j.resconrec.2010.09.003

DOI: 10.1016/j.eswa.2018.04.013

DOI: 10.1177/002224378101800313

DOI: 10.1108/17561391211200920

DOI: 10.1108/13598541211227126

H&M. (2017). H&M group Sustainability Report. Retrieved 26/9/2018, 2018, from https://about.hm.com/content/dam/hmgroup/groupsite/documents/masterlanguage/CSR/reports/HM_group_SustainabilityReport_2017_FullReport.pdf

Hair, J., Anderson, R., Tatham, R., & Black, W. (2006). Multivariate Data Analysis, 6th ed., . Prentice Hall, NJ.

DOI: 10.1007/s11747-011-0261-6

Hair, J. F. J., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A Primer on Partial Least Squares Structural Equation Modeling (Pls-Sem). Sage Publications, Thousand Oaks, CA.

DOI: 10.1080/16258312.2005.11517139

Harman, H. H. (1976). Modern Factor Analysis, . University of Chicago Press.

DOI: 10.5267/j.msl.2019.4.005

DOI: 10.1007/s11747-014-0403-8

DOI: 10.1016/j.jclepro.2018.07.051

DOI: 10.1108/13612020910939879

DOI: 10.1108/JEIM-04-2018-0083

DOI: 10.7763/IJESD.2011.V2.164

DOI: 10.1016/j.jclepro.2018.07.104

DOI: 10.3329/cerb.v13i2.3939

DOI: 10.1007/s11356-017-9172-5

DOI: 10.4018/ijec.2015100101

DOI: 10.1108/13287261011042949

DOI: 10.1080/09537287.2019.1582091

DOI: 10.1108/EUM0000000005923

DOI: 10.1108/MEQ-10-2017-0119

Nasir Uddin, M. (2010). Impact of knowledge management and inter-organizational system on supply chain performance: the case of Australian Agri-food industry”, . (Ph.D), Curtin University.

DOI: 10.1016/j.indmarman.2008.09.001

OECD. (2003). Measuring Knowledge Management in the Business Sector. Canada: OECD/Minister of Industry.

DOI: 10.1111/j.1745-493X.2010.03212.x

DOI: 10.1007/s10551-007-9382-8

DOI: 10.1002/smj.4250140303

DOI: 10.1108/SCM-04-2017-0133

DOI: 10.1037/0021-9010.88.5.879

DOI: 10.5296/emsd.v6i2.11027

DOI: 10.3390/su10051517

DOI: 10.1080/17543266.2017.1389997

DOI: 10.1016/j.ijpe.2010.11.010

DOI: 10.1016/j.ijpe.2014.04.009

DOI: 10.1108/01443570610672248

DOI: 10.1016/j.ijpe.2006.11.030

DOI: 10.1016/j.jclepro.2017.03.066

DOI: 10.1016/j.emj.2004.06.008

DOI: 10.1108/JMTM-09-2016-0123

DOI: 10.2307/25148626

DOI: 10.1016/j.ijproman.2016.07.004

DOI: 10.1108/09696471011059831

DOI: 10.1002/smj.4250050207

DOI: 10.1108/MRR-10-2013-0240

Womack, J., Jones, D., & D, R. (1990). The machine that changed the world. . New York: Harper Perennial.

DOI: 10.1016/j.ijpe.2017.11.016

DOI: 10.1016/j.ijpe.2012.12.021

DOI: 10.1080/00207540601020460

DOI: 10.1080/09537287.2017.1309708

DOI: 10.1108/JSTPM-02-2018-0011

ZDHC. (2016). Annual report of Zero Discharge of Hazardous Chemicals Programme.

DOI: 10.1016/j.jclepro.2016.03.006

DOI: 10.1080/00207540701440345

DOI: 10.1016/j.omega.2006.11.009

DOI: 10.1108/01443570510593148

DOI: 10.1016/j.jclepro.2006.05.021

DOI: 10.1016/j.pursup.2012.12.001

DOI: 10.1080/09537287.2011.642188

DOI: 10.1016/S0969-7012(00)00007-1