Please wait a minute...
Frontiers of Engineering Management

ISSN 2095-7513

ISSN 2096-0255(Online)

CN 10-1205/N

Postal Subscription Code 80-905

Front. Eng    2024, Vol. 11 Issue (2) : 311-325    https://doi.org/10.1007/s42524-024-3069-z
Logistics Systems and Supply Chain Management
Supporting factors model for the sustainable step development of supply chain: An empirical study from China with grounded theory
Xiaohong CHEN1, Chunfang LU2, Weihua LIU3(), Siyu WANG3(), Shangsong LONG3(), Jingcheng QIU3, Yujie WANG3
1. Hunan University of Commerce, Changsha 410205, China
2. Chinese Academy of Engineering, Beijing 100088, China
3. College of Management and Economics, Tianjin University, Tianjin 300072, China
 Download: PDF(1980 KB)   HTML
 Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks
Abstract

The ongoing stability of supply chains faces significant challenges from trade protectionism, anti-globalization trends, and the COVID-19 pandemic. To remain resilient in this dynamic market environment, supply chains must evolve through iterative upgrades and transition to a higher level of sustainability, a process termed “step development.” The current literature, however, offers limited insights into achieving such step development in supply chain sustainability and its critical supporting elements. This study, grounded in theory, involved interviews with representatives from eight diverse Chinese enterprises. We introduce a model delineating supporting factors and a roadmap for Sustainable Step Development of Supply Chains (SSDSC). Our findings highlight three pivotal categories of support for SSDSC: institutional, technological, and social factors. Additionally, we observed that external influences in these categories positively modulate their internal counterparts. The study identifies industrial technology, digital intelligence technology, corporate responsibility, and stakeholder needs as key elements in this process. We conclude by offering theoretical and practical recommendations to foster SSDSC.

Keywords supply chain      sustainable development      supporting factors      grounded theory     
Corresponding Author(s): Weihua LIU,Siyu WANG,Shangsong LONG   
Just Accepted Date: 24 April 2024   Online First Date: 29 May 2024    Issue Date: 26 June 2024
 Cite this article:   
Xiaohong CHEN,Chunfang LU,Weihua LIU, et al. Supporting factors model for the sustainable step development of supply chain: An empirical study from China with grounded theory[J]. Front. Eng, 2024, 11(2): 311-325.
 URL:  
https://academic.hep.com.cn/fem/EN/10.1007/s42524-024-3069-z
https://academic.hep.com.cn/fem/EN/Y2024/V11/I2/311
Paper Research method Single factor of sustainable development Supporting factor framework Sustainable stage of the supply chain Mechanism of interaction between factors
Chen et al. (2019) Mathematical model
Sarkis (2020) Literature review
Kumar and Rahman (2017) ISM&AHP
Saeed and Kersten (2019) Literature review
Srai et al. (2013) Case study
Edgema and Eskildsen (2014) Case study
This paper Case study
Tab.1  Comparison between this study and the most relevant literature in this paper
No. Enterprise code Enterprise scale (billions) Industry Industry ranking (number of enterprises) Ranking of China’s Top 500 Sample source
1 A 60.85 Steel 7 99 General manager Business director
Sustainability reporting
2 B 2.91 Car 3 58 General manager Business director
Sustainability reporting
3 C 11.92 Foodstuff 10 456 General manager Business director
Sustainability reporting
4 D 486.90 Chemistry 6 2 General manager Business director
Sustainability reporting
5 E 2.44 Electron 1 352 General manager
Sustainability reporting
6 F 4.61 Electrical equipment 2 117 General manager Business director
Sustainability reporting
7 G 11.70 Integrated logistics / 111 General manager Business director
Sustainability reporting
8 H 11.00 Shipping logistics / 37 Deputy general manager Business director
Sustainability reporting
Tab.2  Interviewed enterprise information and sample sources
Initial category Initial concept Original sentence
Energy management Control carbon emissions H: The group formulates a carbon peak and carbon neutrality target plan and implements various energy-saving and consumption reduction measures.
Risk management Strengthen risk Control F: Enterprises conduct annual risk compliance self-inspections and develop internal control manuals.
Human resources management Outstanding effect B: The company comprehensively stimulates employees’ abilities and raises recruitment thresholds through incentive system reform.
Organizational management Optimize department responsibility G: The company continuously strengthens the collaborative ability of multiple departments through organizational reform.
Supplier management Ensuring supply Safe and timely C: The company establishes an inventory management system and shares inventory with suppliers.
Energy policy National Dual Carbon Target B: The Dual Carbon Targets released by the government are indeed a great positive push for us.
Financial policy Financial support from the government and banks C: The development situation of the country in the international arena, such as the improvement of the international status of the RMB, can significantly improve transaction stability if trade settlement can be directly carried out through the RMB. Financial institutions strengthen their support for the real economy.
Industrial policy Professional policy support G: The enterprise belongs to the type of comprehensive logistics business, involving many categories, so the change of an industrial policy will not have a significant effect on the enterprise, but the policies of intelligent logistics, platform economy and other aspects will help the enterprise to transform and develop.
Industrial technology Autonomous knowledge property right F: Maintain technological research and development in core areas, such as 5G wireless, core network, and chips, and ensure that core software and hardware are replaceable.
Standard setting Set technology standard B: The company ensures technological leadership by developing standard application columns.
Digital technology Various types intelligent technology B: The application of industrial internet technology to enhance the level and ability of automation and informatization, and achieve digital and intelligent applications; industry level data connectivity.
Green technology Energy power mode B: The substitutability of technology has a significant effect on the sustainable development of enterprises, such as the trend of replacing fuel vehicles with new energy vehicles and the technological development level of peers.
Corporate responsibility To do for society contribution A: As a state-owned enterprise, we promote enterprises to become “pioneers of green steel,” “leaders of low-carbon technology,” and “guardians of a beautiful home” in green and sustainable aspects according to government policies and arrangements.
Stakeholders demand Customer requirements H: Pay attention to understanding the needs of relevant parties and understand customer concerns. Relevant stakeholders include the government, shareholders, employees, customers, suppliers, associations, organizations, the public, communities, and the media. Fully consider the expectations and needs of stakeholders to update the system, responsibilities, and measures.
Collaborate with stakeholders Upstream and downstream cooperation G: Strengthen cooperation with peers and leading enterprises in various fields, jointly enhance market recognition, meet the low-carbon requirements of upstream and downstream members, and develop synchronously.
International trade relationship Trade barrier F: Global trade relations have a significant effect on the sustainable development of enterprises. The industry’s core products are still in the hands of foreign countries, and the risk of supply interruption needs to be controllable.
International organization call Organizational regulations H: The International Maritime Organization has issued a call for sustainable development and formulated multiple international and domestic regulations on marine protection.
Tab.3  Open coding
Main category Subcategory Initial category Connotation
Institutional factor Internal institutional factors Energy management Enterprise’s energy consumption management system and “carbon peak and carbon neutrality” plan
Risk management Risk management systems, such as internal control management measures and compliance management systems
Human resource management Human resource management systems, such as talent introduction and performance incentive optimization
Organizational management Organizational management capabilities, such as task division and departmental collaboration in enterprises
Supplier management Optimization system for supply-side procurement management, supplier inventory management, etc.
External institutional factors Energy policy The national goal of “Carbon Peak and Carbon Neutrality” and its related policy requirements
Financial policy Financial policies launched by the country in areas, such as tax incentives, financial support, and bank loans
Industrial policy National support policies for different industries
Technology factor Internal technological factors Industrial technology Enterprises achieve innovation and upgrading of industrial processes, technologies and tools by self-research or collaborative research
Standard setting Relevant technological standards extracted by enterprises through their practical operation summary
External technological factors Digital technology Various digital and intelligent technologies represented by modern information technology have undergone iterative upgrades
Green technology Including fundamental updates in energy methods, power technology, and other aspects
Social factors Internal social factors Corporate responsibility The sense of responsibility of enterprises to contribute to society is influenced by the characteristics of central enterprises or corporate culture
Collaborate with stakeholders Closer cooperation and sharing between enterprises and upstream and downstream stakeholders
External social factors International trade relations The situation of international trade relations is caused by global political, economic and other factors
International organization call The call and regulations of domestic and foreign industry organizations on the development trends and basic requirements of this industry
Stakeholders demand New demands from various stakeholders, including suppliers, customers, consumers, etc.
Tab.4  Main categories formed by axial encoding
Core category Main category Connotation
Supporting factors for SSDSC Institutional factors Enterprises optimize and upgrade their management systems or rely on government policy support to achieve sustainable leapfrog development of the supply chain
Technological factors Enterprises achieve sustainable leapfrog development of their supply chain through technology self-research or relying on industry-related technology iteration and upgrading
Social factors Enterprises actively respond to the needs of relevant stakeholders or passively respond to changes in international trade relations to promote sustainable development of the supply chain
Tab.5  Typical relationship structure of main categories
Internal factors External factors
Technological factors C: By using digital means to digitize and make transactions transparent, the entire grain inventory and transportation situation can be digitized and collected, directly promoting the sustainable development of the supply chain.
B: The core independent intellectual property rights of an enterprise are very important, as they determine your position in the supply chain and directly affect the sustainable development of the supply chain
C: Due to the development of digital technology and equipment, including AI cameras, digital lock and seal management machines, and the Internet of Things, it has provided basic conditions for enterprises to promote digital supply chains.
B: We need to fully integrate industry-leading technology with our scenarios, and it can be said that external technology indirectly affects our supply chain
Institutional factors D: The internal process system of enterprises will have a direct effect on the sustainability of the supply chain, such as the transition from passive procurement to active procurement, and the elimination of traditional high-energy consumption and high-pollution devices.
F: We have gradually established our leading position in the supply chain through reforms and the construction of business systems, environmental management systems, and inventory management systems, directly promoting the sustainable development of the supply chain.
D: The national dual carbon goals and other related policies have put forward clear requirements for the annual carbon reduction of energy enterprises, which makes us constantly innovating and reforming toward this goal.
B: The national support policies for new energy vehicles have indeed helped us further promote the sustainable development of the supply chain.
Social factors A: As an important national steel enterprise, corporate responsibility directly determines that we must ensure the sustainable development of the supply chain.
H: The most important domestic shipping enterprise, in addition to economic development, has an important responsibility to ensure the stable operation of the supply chain. For example, during the epidemic, we tried our best to ensure stable freight rates, which directly affects the sustainable development of the supply chain.
A: We will update our internal systems, responsibilities, and measures based on the needs of external stakeholders.
G: We will customize corresponding requirements for social development and ecological environment based on customer needs, and integrate them into the entire supply chain.
H: To respond to the needs of relevant stakeholders, we can only intensify cooperation with other shipping companies to promote the sustainable development of the entire shipping industry.
Tab.6  Relationship between supporting factors
Company Institutional factors Technological factors Social factors
Internal External Internal External Internal External
A Corporate responsibility
B Industrial technology
G Stakeholder demand
H Corporate responsibility
C Digital technology
D Stakeholder demand
E Corporate responsibility
F Stakeholder demand
Frequency None* 1/8 (12.5%) 1/8 (12.5%) 3/8 (37.5%) 3/8 (37.5%)
1/4 (25%) 3/4 (75%)
Role Tertiary role Secondary role Primary role
Tab.7  Key supporting elements for SSDSC
Fig.1  Model of supporting factors for SSDSC.
Fig.2  Roadmap for SSDSC.
1 M K Amann, J K Roehrich, M Eßig, C Harland, (2014). Driving sustainable supply chain management in the public sector: The importance of public procurement in the European Union. Supply Chain Management, 19( 3): 351–366
https://doi.org/10.1108/SCM-12-2013-0447
2 M Amini, C Bienstock, (2014). Corporate sustainability: An integrative definition and framework to evaluate corporate practice and guide academic research. Journal of Cleaner Production, 76: 12–19
https://doi.org/10.1016/j.jclepro.2014.02.016
3 N Berente, Y Yoo, (2012). Institutional contradictions and loose coupling: Postimplementation of NASA’s enterprise information system. Information Systems Research, 23( 2): 376–396
https://doi.org/10.1287/isre.1110.0373
4 B R Bhardwaj, (2016). Role of green policy on sustainable supply chain management. Benchmarking, 23( 2): 456–468
https://doi.org/10.1108/BIJ-08-2013-0077
5 C R Boddy, (2016). Sample size for qualitative research. Qualitative Market Research, 19( 4): 426–432
https://doi.org/10.1108/QMR-06-2016-0053
6 C R Carter, D S Rogers, (2008). A framework of sustainable supply chain management: Moving toward new theory. International Journal of Physical Distribution & Logistics Management, 38( 5): 360–387
https://doi.org/10.1108/09600030810882816
7 S Chen, Q Zhang, Y P Zhou, (2019). Impact of supply chain transparency on sustainability under NGO scrutiny. Production and Operations Management, 28( 12): 3002–3022
https://doi.org/10.1111/poms.12973
8 X H Chen, C C He, Y Chen, Z Y Xie, (2023). Internet of Things (IoT)–blockchain-enabled pharmaceutical supply chain resilience in the post-pandemic era. Frontiers of Engineering Management, 10( 1): 82–95
https://doi.org/10.1007/s42524-022-0233-1
9 E Correia, H Carvalho, S G Azevedo, K Govindan, (2017). Maturity models in supply chain sustainability: A systematic literature review. Sustainability (Basel), 9( 1): 64–90
https://doi.org/10.3390/su9010064
10 C Costanza, (2023). When the business is circular and social: A dynamic grounded analysis in the clothing recycle. Journal of Cleaner Production, 382: 135–216
https://doi.org/10.1016/j.jclepro.2022.135216
11 R Edgeman, J Eskildsen, (2014). Modeling and assessing sustainable enterprise excellence. Business Strategy and the Environment, 23( 3): 173–187
https://doi.org/10.1002/bse.1779
12 K M Eisenhardt, M E Graebner, (2007). Theory building from cases: opportunities and challenges. Academy of Management Journal, 50( 1): 25–32
https://doi.org/10.5465/amj.2007.24160888
13 F Erhun, T Kraft, S Wijnsma, (2021). Sustainable triple-A supply chains. Production and Operations Management, 30( 3): 644–655
https://doi.org/10.1111/poms.13306
14 D Fischer-Kreer, M Brettel, (2022). Accentuate the positive? Sustainable entrepreneurs’ framing of positive and negative impacts. Journal of Cleaner Production, 376: 134319
https://doi.org/10.1016/j.jclepro.2022.134319
15 D Gao, Z Xu, Y Z Ruan, H Y Lu, (2017). From a systematic literature review to integrated definition for sustainable supply chain innovation (SSCI). Journal of Cleaner Production, 142( 4): 1518–1538
https://doi.org/10.1016/j.jclepro.2016.11.153
16 C Gimenez, V Sierra, J Rodon, (2012). Sustainable operations: Their impact on the triple bottom line. International Journal of Production Economics, 140( 1): 149–159
https://doi.org/10.1016/j.ijpe.2012.01.035
17 B G Glaser (1978). Theoretical Sensitivity. Mill Valley, USA: Sociology Press
18 B G GlaserA L Strauss (1999). The Discovery of Grounded Theory: Strategies for Qualitative Research. New York, USA: Routledge
19 G Hamel, C Prahalad, (1991). Corporate imagination and expeditionary marketing. Harvard Business Review, 69( 4): 81–92
20 D Kumar, Z Rahman, (2017). Analyzing enablers of sustainable supply chain: ISM and fuzzy AHP approach. Journal of Modelling in Management, 12( 3): 498–524
https://doi.org/10.1108/JM2-02-2016-0013
21 L H Lee, (2004). The triple-A supply chain. Harvard Business Review, 82( 10): 102–157
22 W H Liu, Y He, J X Dong, Y N Cao, (2023a). Disruptive technologies for advancing supply chain resilience. Frontiers of Engineering Management, 10( 2): 360–366
https://doi.org/10.1007/s42524-023-0257-1
23 W H Liu, X Y Liu, X R Shi, J H Hou, V Shi, J X Dong, (2023b). Collaborative adoption of blockchain technology: A supply chain contract perspective. Frontiers of Engineering Management, 10( 1): 121–142
https://doi.org/10.1007/s42524-022-0239-8
24 H S Robinson, C J Anumba, P M Carrillo, A M Al-Ghassani, (2006). STEPS: A knowledge management maturity roadmap for corporate sustainability. Business Process Management Journal, 12( 6): 793–808
https://doi.org/10.1108/14637150610710936
25 M A Saeed, W Kersten, (2019). Drivers of sustainable supply chain management: Identification and classification. Sustainability (Basel), 11( 4): 1104–1137
https://doi.org/10.3390/su11041137
26 M Sandelowski, (1995). Sample size in qualitative research. Research in Nursing & Health, 18( 2): 179–183
https://doi.org/10.1002/nur.4770180211
27 J Sarkis, (2020). Supply chain sustainability: learning from the COVID-19 pandemic. International Journal of Operations & Production Management, 41( 1): 63–73
https://doi.org/10.1108/IJOPM-08-2020-0568
28 X ShiW Liu M K Lim(2023). Supply chain resilience: new challenges and opportunities, International Journal of Logistics Research and Applications, doi:10.1080/13675567.2023.2262396
29 J S Srai, L S Alinaghian, D A Kirkwood, (2013). Understanding sustainable supply network capabilities of multinationals: A capability maturity model approach. Proceedings of the Institution of Mechanical Engineers. Part B, Journal of Engineering Manufacture, 227( 4): 595–615
https://doi.org/10.1177/0954405412470597
30 W Y Wei, W H Liu, O Tang, C W Dong, Y J Liang, (2023). CSR investment for a two-sided platform: Network externality and risk aversion. European Journal of Operational Research, 307( 2): 694–712
https://doi.org/10.1016/j.ejor.2022.08.048
31 R K Yin, (1994). Discovering the future of the case study method in evaluation research. American Journal of Evaluation, 15( 3): 283–290
32 H Zijm, M Klumpp, (2016). Logistics and supply chain management: developments and trends. Logistics and Supply Chain Innovation, 1–20
[1] Kai LI, Yan LI, Nenggui ZHAO. Pricing and production strategies in remanufacturing from the perspectives of supply chain: Review and future directions[J]. Front. Eng, 2024, 11(1): 1-15.
[2] Tongdan JIN. Bridging reliability and operations management for superior system availability: Challenges and opportunities[J]. Front. Eng, 2023, 10(3): 391-405.
[3] Weihua LIU, Yang HE, Jingxin DONG, Yuenan CAO. Disruptive technologies for advancing supply chain resilience[J]. Front. Eng, 2023, 10(2): 360-366.
[4] Yu NING, Lixu LI, Su Xiu XU, Shuili YANG. How do digital technologies improve supply chain resilience in the COVID-19 pandemic? Evidence from Chinese manufacturing firms[J]. Front. Eng, 2023, 10(1): 39-50.
[5] Xiaohong CHEN, Caicai HE, Yan CHEN, Zhiyuan XIE. Internet of Things (IoT)–blockchain-enabled pharmaceutical supply chain resilience in the post-pandemic era[J]. Front. Eng, 2023, 10(1): 82-95.
[6] Jia SHI, Jihong CHEN, Lang XU, Zhongjie DI, Qunzhen QU. Improving the resilience of maritime supply chains: The integration of ports and inland transporters in duopoly markets[J]. Front. Eng, 2023, 10(1): 51-66.
[7] Ying LI, Dakun LI, Yuyang LIU, Yongyi SHOU. Digitalization for supply chain resilience and robustness: The roles of collaboration and formal contracts[J]. Front. Eng, 2023, 10(1): 5-19.
[8] Yi HE, Dexia HE, Qingyun XU, Guofang NAN. Omnichannel retail operations with ship-to-store and ship-from-store options under supply disruption[J]. Front. Eng, 2023, 10(1): 158-170.
[9] Shuangshuang ZHANG, Hongfeng WANG, Guo LI, Junwei WANG. Modeling of the resilient supply chain system from a perspective of production design changes[J]. Front. Eng, 2023, 10(1): 96-106.
[10] Xiutian SHI, Siru CHEN, Xiaofan LAI. Blockchain adoption or contingent sourcing? Advancing food supply chain resilience in the post-pandemic era[J]. Front. Eng, 2023, 10(1): 107-120.
[11] Jiaguo LIU, Yumeng XI, Junjin WANG. Resilience strategies for sustainable supply chains under budget constraints in the post COVID-19 era[J]. Front. Eng, 2023, 10(1): 143-157.
[12] Jing XUE, Guo LI. Balancing resilience and efficiency in supply chains: Roles of disruptive technologies under Industry 4.0[J]. Front. Eng, 2023, 10(1): 171-176.
[13] Lu WANG, Tianhu DENG, Zuo-Jun Max SHEN, Hao HU, Yongzhi QI. Digital twin-driven smart supply chain[J]. Front. Eng, 2022, 9(1): 56-70.
[14] Kangzhou WANG, Zhibin JIANG, Bo PENG, Hui JING. Servitization of manufacturing in the new ICTs era: A survey on operations management[J]. Front. Eng, 2021, 8(2): 223-235.
[15] Algan TEZEL, Eleni PAPADONIKOLAKI, Ibrahim YITMEN, Per HILLETOFTH. Preparing construction supply chains for blockchain technology: An investigation of its potential and future directions[J]. Front. Eng, 2020, 7(4): 547-563.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed