IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i14p3937-d249835.html
   My bibliography  Save this article

Using the FAHP, ISM, and MICMAC Approaches to Study the Sustainability Influencing Factors of the Last Mile Delivery of Rural E-Commerce Logistics

Author

Listed:
  • Xiaohong Jiang

    (College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China)

  • Huiying Wang

    (College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China)

  • Xiucheng Guo

    (School of Transportation, Southeast University, Nanjing 210096, China)

  • Xiaolin Gong

    (College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China)

Abstract

The development of rural e-commerce has rapidly driven the development of rural logistics in China. Improving the service quality of the last mile delivery is an important measure to promote the sustainable development of rural e-commerce logistics. However, such work is challenging because the current rural last mile delivery is inefficient and unsustainable and is influenced by a set of interacting factors. It is necessary to explore the relationships among the sustainability influencing factors of rural last mile delivery. A total of 15 sustainability influencing factors are selected. The improved fuzzy analytic hierarchy process (FAHP) is used to assign the weights of the factors and then the interpretative structural model (ISM) is used to determine the hierarchical structure of each factor. The driving force-dependency quadrant graph is constructed by cross-impact matrix multiplication (MICMAC). The research results show that four factors, including “convenience of returning goods”, “integrity of goods”, “advance reservation of goods pickup”, and “delivery costs”, are the most basic factors affecting the sustainability of rural last mile delivery and are the deepest and most indispensable factors. This research provides valuable information for decision makers to develop proactive strategies and reinforcement policies to improve the service quality of rural last mile delivery, which could promote the sustainable development of rural logistics.

Suggested Citation

  • Xiaohong Jiang & Huiying Wang & Xiucheng Guo & Xiaolin Gong, 2019. "Using the FAHP, ISM, and MICMAC Approaches to Study the Sustainability Influencing Factors of the Last Mile Delivery of Rural E-Commerce Logistics," Sustainability, MDPI, vol. 11(14), pages 1-18, July.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:14:p:3937-:d:249835
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/14/3937/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/14/3937/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. C. Vasanthakumar & S. Vinodh & K. Ramesh, 2016. "Application of interpretive structural modelling for analysis of factors influencing lean remanufacturing practices," International Journal of Production Research, Taylor & Francis Journals, vol. 54(24), pages 7439-7452, December.
    2. Vishal Ashok Bhosale & Ravi Kant, 2016. "An integrated ISM fuzzy MICMAC approach for modelling the supply chain knowledge flow enablers," International Journal of Production Research, Taylor & Francis Journals, vol. 54(24), pages 7374-7399, December.
    3. Omid Ghorbanzadeh & Sarbast Moslem & Thomas Blaschke & Szabolcs Duleba, 2018. "Sustainable Urban Transport Planning Considering Different Stakeholder Groups by an Interval-AHP Decision Support Model," Sustainability, MDPI, vol. 11(1), pages 1-18, December.
    4. Ageron, Blandine & Gunasekaran, Angappa & Spalanzani, Alain, 2012. "Sustainable supply management: An empirical study," International Journal of Production Economics, Elsevier, vol. 140(1), pages 168-182.
    5. Liangliang Song & Qiming Li & George F. List & Yongliang Deng & Ping Lu, 2017. "Using an AHP-ISM Based Method to Study the Vulnerability Factors of Urban Rail Transit System," Sustainability, MDPI, vol. 9(6), pages 1-16, June.
    6. Li, Xiaopeng, 2013. "An integrated modeling framework for design of logistics networks with expedited shipment services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 56(C), pages 46-63.
    7. R. Sivaprakasam & V. Selladurai & P. Sasikumar, 2015. "Implementation of interpretive structural modelling methodology as a strategic decision making tool in a Green Supply Chain Context," Annals of Operations Research, Springer, vol. 233(1), pages 423-448, October.
    8. B. Ageron & A. Gunasekaran & A. Spalanzani, 2012. "Sustainable supply management : an empirical study," Post-Print halshs-00740499, HAL.
    9. Jitesh Thakkar & S.G. Deshmukh & A.D. Gupta & Ravi Shankar, 2007. "Development of a balanced scorecard," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 56(1), pages 25-59, January.
    10. R.M. Thirupathi & S. Vinodh, 2016. "Application of interpretive structural modelling and structural equation modelling for analysis of sustainable manufacturing factors in Indian automotive component sector," International Journal of Production Research, Taylor & Francis Journals, vol. 54(22), pages 6661-6682, November.
    11. Chen, Kee-Kuo & Chang, Ching-Ter & Lai, Cheng-Sheng, 2009. "Service quality gaps of business customers in the shipping industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(1), pages 222-237, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ming Li & Wei Yu & Jun Zhang, 2023. "Clustering Analysis of Multilayer Complex Network of Nanjing Metro Based on Traffic Line and Passenger Flow Big Data," Sustainability, MDPI, vol. 15(12), pages 1-17, June.
    2. Waßmuth, Katrin & Köhler, Charlotte & Agatz, Niels & Fleischmann, Moritz, 2023. "Demand management for attended home delivery—A literature review," European Journal of Operational Research, Elsevier, vol. 311(3), pages 801-815.
    3. Hao Lu & Jie Bao, 2022. "Spatial Differentiation Effect of Rural Logistics in Urban Agglomerations in China Based on the Fuzzy Neural Network," Sustainability, MDPI, vol. 14(15), pages 1-23, July.
    4. Patrick Klein & Bastian Popp, 2022. "Last-Mile Delivery Methods in E-Commerce: Does Perceived Sustainability Matter for Consumer Acceptance and Usage?," Sustainability, MDPI, vol. 14(24), pages 1-27, December.
    5. Wei Yu & Xiaofei Ye & Jun Chen & Xingchen Yan & Tao Wang, 2020. "Evaluation Indexes and Correlation Analysis of Origination–Destination Travel Time of Nanjing Metro Based on Complex Network Method," Sustainability, MDPI, vol. 12(3), pages 1-21, February.
    6. Małgorzata Markowska & Jakub Marcinkowski, 2022. "Rural E-Customers’ Preferences for Last Mile Delivery: Evidence from Poland," Energies, MDPI, vol. 15(22), pages 1-15, November.
    7. Mingwei Sun & Katarzyna Grondys & Nazim Hajiyev & Pavel Zhukov, 2021. "Improving the E-Commerce Business Model in a Sustainable Environment," Sustainability, MDPI, vol. 13(22), pages 1-22, November.
    8. Vakulenko, Yulia & Arsenovic, Jasenko & Hellström, Daniel & Shams, Poja, 2022. "Does delivery service differentiation matter? Comparing rural to urban e-consumer satisfaction and retention," Journal of Business Research, Elsevier, vol. 142(C), pages 476-484.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chand, Pushpendu & Thakkar, Jitesh J. & Ghosh, Kunal Kanti, 2020. "Analysis of supply chain sustainability with supply chain complexity, inter-relationship study using delphi and interpretive structural modeling for Indian mining and earthmoving machinery industry," Resources Policy, Elsevier, vol. 68(C).
    2. Xia Zhao & Ning Li & Liang Song, 2019. "Coordination of a Socially Responsible Two-Stage Supply Chain Under Random Demand," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 36(05), pages 1-27, October.
    3. Jamalnia, Aboozar & Gong, Yu & Govindan, Kannan, 2023. "Sub-supplier's sustainability management in multi-tier supply chains: A systematic literature review on the contingency variables, and a conceptual framework," International Journal of Production Economics, Elsevier, vol. 255(C).
    4. M. Ángeles Sanfiel-Fumero & Yaiza Armas-Cruz & Olga González-Morales, 2017. "Sustainability of the tourist supply chain and governance in an insular biosphere reserve destination: the perspective of tourist accommodation," European Planning Studies, Taylor & Francis Journals, vol. 25(7), pages 1256-1274, July.
    5. Yong Liu & Bing-ting Quan & Jiao Li & Jeffrey Yi-Lin Forrest, 2018. "A Supply Chain Coordination Mechanism with Cost Sharing of Corporate Social Responsibility," Sustainability, MDPI, vol. 10(4), pages 1-25, April.
    6. Lixin Shen & Kannan Govindan & Madan Shankar, 2015. "Evaluation of Barriers of Corporate Social Responsibility Using an Analytical Hierarchy Process under a Fuzzy Environment—A Textile Case," Sustainability, MDPI, vol. 7(3), pages 1-22, March.
    7. I Ketut Astawa & I Ketut Budarma & Cokorda Istri Sri Widhari & Anak Agung Putri Suardani, 2020. "Green Supply Chain Management and Operational Performance: A Case Study at 5-Star Hotel in Bali," Technium Social Sciences Journal, Technium Science, vol. 10(1), pages 478-487, August.
    8. Guo Li & Ming K. Lim & Zhaohua Wang, 2020. "Stakeholders, green manufacturing, and practice performance: empirical evidence from Chinese fashion businesses," Annals of Operations Research, Springer, vol. 290(1), pages 961-982, July.
    9. Kannan, Devika & Jabbour, Ana Beatriz Lopes de Sousa & Jabbour, Charbel José Chiappetta, 2014. "Selecting green suppliers based on GSCM practices: Using fuzzy TOPSIS applied to a Brazilian electronics company," European Journal of Operational Research, Elsevier, vol. 233(2), pages 432-447.
    10. Sebastian Kot, 2018. "Sustainable Supply Chain Management in Small and Medium Enterprises," Sustainability, MDPI, vol. 10(4), pages 1-19, April.
    11. Zhifeng Wu & Senjing Zhai & Jiangtao Hong & Yibin Zhang & Keren Shi, 2018. "Building Sustainable Supply Chains for Organizations Based on QFD: A Case Study," IJERPH, MDPI, vol. 15(12), pages 1-12, December.
    12. Jiuping Xu & Xianglan Jiang & Zhibin Wu, 2016. "A Sustainable Performance Assessment Framework for Plastic Film Supply Chain Management from a Chinese Perspective," Sustainability, MDPI, vol. 8(10), pages 1-23, October.
    13. Giang N. T. Nguyen & Tapan Sarker, 2018. "Sustainable coffee supply chain management: a case study in Buon Me Thuot City, Daklak, Vietnam," International Journal of Corporate Social Responsibility, Springer, vol. 3(1), pages 1-17, December.
    14. Mastrocinque, Ernesto & Ramírez, F. Javier & Honrubia-Escribano, Andrés & Pham, Duc T., 2022. "Industry 4.0 enabling sustainable supply chain development in the renewable energy sector: A multi-criteria intelligent approach," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    15. Ahmed Ali & Kaushal Chauhan & Mahmoud Barakat & Ahmed Eid, 2020. "The Role of Sustainability for Enhancing Third-Party Logistics Management Performance," Journal of Management and Sustainability, Canadian Center of Science and Education, vol. 9(1), pages 1-14, March.
    16. Małgorzata Ćwil & Witold Bartnik & Sebastian Jarzębowski, 2021. "Railway Vehicle Energy Efficiency as a Key Factor in Creating Sustainable Transportation Systems," Energies, MDPI, vol. 14(16), pages 1-14, August.
    17. Lanndon A. Ocampo, 2019. "Decision Modeling for Manufacturing Sustainability with Fuzzy Analytic Hierarchy Process," Global Business Review, International Management Institute, vol. 20(1), pages 25-41, February.
    18. Luthra, Sunil & Garg, Dixit & Haleem, Abid, 2015. "An analysis of interactions among critical success factors to implement green supply chain management towards sustainability: An Indian perspective," Resources Policy, Elsevier, vol. 46(P1), pages 37-50.
    19. Niu, Baozhuang & Li, Qiyang & Liu, Yaoqi, 2020. "Conflict management in a multinational firm's production shifting decisions," International Journal of Production Economics, Elsevier, vol. 230(C).
    20. Su-Yol Lee, 2021. "Sustainable Supply Chain Management, Digital-Based Supply Chain Integration, and Firm Performance: A Cross-Country Empirical Comparison between South Korea and Vietnam," Sustainability, MDPI, vol. 13(13), pages 1-13, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:14:p:3937-:d:249835. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.