The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.
Green supply chain management in Chinese firms: Innovative measures and the moderating role of quick response technology
Abstract
The last decade has witnessed a sharp rising trend in environmental awareness and protection in China. Green supply chain management (GSCM) has been regarded as an effective tool in China for mitigating the negative effects that firms have on the environment. However, the extent to which GSCM pressures influence GSCM practices, and whether and how GSCM practices affect GSCM performance are topics that remain under‐explored. Combining Institutional Theory, Resource‐Based View (RBV) Theory, and the literature on GSCM, our study sheds light on the relationship among GSCM pressures, practices, and performance under the moderating effect of quick response (QR) technology. Using statistical analysis of the collected data and case studies from companies in China, we establish several results. First, among different GSCM pressures, market and export pressures have significant impacts on GSCM practices, whereas cost pressure does not influence GSCM practices significantly. Second, internal improvement practice exerts a significant impact on GSCM practices, while external improvement practice negatively affects positive economic performance. In addition, ecology practice has significantly influenced environmental, positive economic, and operational performance. Third, QR technology suppresses the positive effect between internal improvement practice and negative economic performance. Two real cases from Huawei (telecommunications technologies) and Beijing Benz Automotive (automobile manufacturing) are conducted to verify the findings and generate additional insights. Our findings contribute to the literature and provide guidance to help governments and companies establish effective and innovative GSCM policies.
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Cites
Firm Resources and Sustained Competitive Advantage
Barney, J. (1991) · Journal of Management · doi:10.1177/014920639101700108 · Cited by 48,334
DiMaggio, P. J., & Powell, W. W. (1983) · American Sociological Review · doi:10.2307/2095101 · Cited by 38,435
The Relational View: Cooperative Strategy and Sources of Interorganizational Competitive Advantage
Dyer, J. H., & Singh, H. (1998) · Academy of Management Review · doi:10.5465/amr.1998.1255632 · Cited by 9,943
Accounting for common method variance in cross-sectional research designs
Lindell, M. K., & Whitney, D. J. (2001) · Journal of Applied Psychology · doi:10.1037/0021-9010.86.1.114 · Cited by 8,490
A Natural-Resource-Based View of the Firm
Hart, S. L. (1995) · Academy of Management Review · doi:10.5465/amr.1995.9512280033 · Cited by 5,174
A Natural-Resource-Based View of the Firm
Hart, S. L. (1995) · The Academy of Management Review · doi:10.2307/258963 · Cited by 4,567
WHY COMPANIES GO GREEN: A MODEL OF ECOLOGICAL RESPONSIVENESS.
Bansal, P., & Roth, K. (2000) · Academy of Management Journal · doi:10.2307/1556363 · Cited by 4,020
Green supply-chain management: a state-of-the-art literature review
Srivastava, S. K. (2007) · International Journal of Management Reviews · doi:10.1111/j.1468-2370.2007.00202.x · Cited by 3,984
Liang, H., Saraf, N., Hu, Q., & Xue, Y. (2007) · MIS Quarterly · doi:10.2307/25148781 · Cited by 3,921
The impact of supply chain integration on performance: A contingency and configuration approach
Flynn, B. B., Huo, B., & Zhao, X. (2010) · Journal of Operations Management · doi:10.1016/j.jom.2009.06.001 · Cited by 3,310
Research works printed but not linked: 12
- Bragdon J. H., 1972, Is pollution profitable?, Risk Management, 19, 9
- 10.1177/014920630002600502 · doi:10.1177/014920630002600502 · Paper page
- 10.1007/s10479-018-2838-7 · doi:10.1007/s10479-018-2838-7
- 10.1111/deci.12303 · doi:10.1111/deci.12303
- 10.1002/1097-0266(200010/11)21:10/11<1105::AID-SMJ133>3.0.CO;2-E · doi:10.1002/1097-0266(200010/11)21:10/11<1105::aid-smj133>3.0.co;2-e
- 10.1037/0021-9010.78.5.753 · doi:10.1037/0021-9010.78.5.753 · Paper page
- 10.5465/amr.1995.9512280034 · doi:10.5465/amr.1995.9512280034 · Paper page
- 10.1111/poms.12023 · doi:10.1111/poms.12023
- 10.1016/j.jclepro.2018.06.177 · doi:10.1016/j.jclepro.2018.06.177
- MacDonald M. E., 1991, Integrate or perish!, Traffic Management, 30, 31
- 10.5465/256987 · doi:10.5465/256987 · Paper page
- 10.1016/j.jclepro.2017.12.042 · doi:10.1016/j.jclepro.2017.12.042
Cited by
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Self-citationCai, Y.-J., & Choi, T.-M. (2020) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2020.102010 · Cited by 281
Self-citationWang, S., He, Y., & Song, M. (2021) · Journal of Environmental Management · doi:10.1016/j.jenvman.2020.110999 · Cited by 268
Risk analysis in logistics systems: A research agenda during and after the COVID-19 pandemic
Choi, T.-M. (2021) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2020.102190 · Cited by 259
Self-citationSupply chain sustainability and performance of firms: A meta-analysis of the literature
Govindan, K., Rajeev, A., Padhi, S. S., & Pati, R. K. (2020) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2020.101923 · Cited by 253
Metadata
- Authors
- Li, G., Li, L., Choi, T., & Sethi, S. P.
- Venue
- Journal of Operations Management
- Publisher
- Wiley
- Published
- 2019-11-29
- Volume
- 66
- Issue
- 7-8
- Pages
- 958-988
- ISSN
- 0272-6963 (ISSN-L)
- 1873-1317
- OpenAlex
- W2990920133
- Cited by
- 423
- References
- 88
- FWCI
- 66.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Funders
- Beijing Municipal Commission of Education
- National Natural Science Foundation of China
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