IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i20p15028-d1262438.html
   My bibliography  Save this article

Logistics Efficiency Evaluation and Empirical Research under the New Retailing Model: The Way toward Sustainable Development

Author

Listed:
  • Tongtong Jiang

    (School of Economics, Shandong Normal University, Jinan 250014, China)

  • Xiuguo Wu

    (School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan 250014, China)

  • Yunxiao Yin

    (Bureau of Housing and Urban-Rural Development of Qihe County, Dezhou 251199, China)

Abstract

As an innovative retailing mode, “new retailing” is making the distinction between physical and virtual commerce obsolete, where offline stores attract customers and supply them with the opportunity of experiences, and online stores provide services for placing orders and transactions. However, many new retailing companies are beset by their logistics efficiency evaluations because evaluation indicators and methods differ significantly from those with traditional business patterns. In this way, considering the sustainable development principle, this study focuses on the approach of logistics efficiency evaluation and empirical analysis under the new retailing model, explores the main factors related to logistics efficiency improvement, and proposes corresponding measures to reinforce the core competence of companies. We first establish a novel logistics efficiency evaluation index system by word frequency and correlation analysis from a sustainable development view, including six first-level indicators and twenty-seven second-level indicators; then, the logistics efficiency evaluation framework is presented: the static evaluation is made using cross-efficiency DEA and IAHP entropy; the dynamic evaluation is performed using the Malmquist index. After that, a demonstrated analysis of logistics efficiency is conducted with 15 listed companies in China. Furthermore, efficiency-influencing factors are identified using Tobit regression, and countermeasures are proposed to promote the development of new retailing. Comparison results show that the proposed logistics efficiency evaluation framework can be scientific and reliable, helping managers to identify the weaknesses and influencing factors in enterprise logistics operations, therefore improving the performance and competitiveness of new retailing companies.

Suggested Citation

  • Tongtong Jiang & Xiuguo Wu & Yunxiao Yin, 2023. "Logistics Efficiency Evaluation and Empirical Research under the New Retailing Model: The Way toward Sustainable Development," Sustainability, MDPI, vol. 15(20), pages 1-22, October.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:20:p:15028-:d:1262438
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/20/15028/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/20/15028/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cai, Ya-Jun & Lo, Chris K.Y., 2020. "Omni-channel management in the new retailing era: A systematic review and future research agenda," International Journal of Production Economics, Elsevier, vol. 229(C).
    2. Kayakutlu, Gulgun & Buyukozkan, Gulcin, 2011. "Assessing performance factors for a 3PL in a value chain," International Journal of Production Economics, Elsevier, vol. 131(2), pages 441-452, June.
    3. Sarkis, Joseph & Talluri, Srinivas, 2004. "Performance based clustering for benchmarking of US airports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(5), pages 329-346, June.
    4. Wojciech Piotrowicz & Richard Cuthbertson, 2015. "Performance measurement and metrics in supply chains: an exploratory study," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 64(8), pages 1068-1091, November.
    5. Wojciech Piotrowicz & Richard Cuthbertson, 2015. "Performance measurement and metrics in supply chains: an exploratory study," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 64(8), pages 1068-1091, November.
    6. Yue Tan & Chunxiang Guo, 2019. "Research on Two-Way Logistics Operation with Uncertain Recycling Quality in Government Multi-Policy Environment," Sustainability, MDPI, vol. 11(3), pages 1-18, February.
    7. Xuan Wang & Chi To Ng, 2020. "New retail versus traditional retail in e-commerce: channel establishment, price competition, and consumer recognition," Annals of Operations Research, Springer, vol. 291(1), pages 921-937, August.
    8. Yuguo Tao & Feng Zhang & Chunyun Shi & Yun Chen, 2019. "Social Media Data-Based Sentiment Analysis of Tourists’ Air Quality Perceptions," Sustainability, MDPI, vol. 11(18), pages 1-23, September.
    9. Hamdan, Amer & (Jamie) Rogers, K.J., 2008. "Evaluating the efficiency of 3PL logistics operations," International Journal of Production Economics, Elsevier, vol. 113(1), pages 235-244, May.
    10. Wanke, Peter F., 2013. "Physical infrastructure and shipment consolidation efficiency drivers in Brazilian ports: A two-stage network-DEA approach," Transport Policy, Elsevier, vol. 29(C), pages 145-153.
    11. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    12. Lourdes Trujillo & Beatriz Tovar, 2007. "The European Port Industry: An Analysis of its Economic Efficiency," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 9(2), pages 148-171, June.
    13. Carlos Pestana Barros, 2006. "A Benchmark Analysis of Italian Seaports Using Data Envelopment Analysis," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 8(4), pages 347-365, December.
    14. Liang, Liang & Wu, Jie & Cook, Wade D. & Zhu, Joe, 2008. "Alternative secondary goals in DEA cross-efficiency evaluation," International Journal of Production Economics, Elsevier, vol. 113(2), pages 1025-1030, June.
    15. Xiuguo Wu & Sipeng Wang, 2022. "Evaluation and Temporal-Spatial Evolution of Regional New and Old Driving Force Conversion in Shandong Province," Sustainability, MDPI, vol. 14(22), pages 1-23, November.
    Full references (including those not matched with items on IDEAS)

    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. Angela Stefania Bergantino & Enrico Musso, 2011. "A Multi-step Approach to Model the Relative Efficiency of European Ports: The Role of Regulation and Other Non-discretionary Factors," Chapters, in: Kevin Cullinane (ed.), International Handbook of Maritime Economics, chapter 18, Edward Elgar Publishing.
    2. Anna Corinna Cagliano & Alberto Marco & Giulio Mangano & Giovanni Zenezini, 2017. "Levers of logistics service providers’ efficiency in urban distribution," Operations Management Research, Springer, vol. 10(3), pages 104-117, December.
    3. Congcong Yang & Alfred Taudes & Guozhi Dong, 2017. "Efficiency analysis of European Freight Villages: three peers for benchmarking," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(1), pages 91-122, March.
    4. Quintano, Claudio & Mazzocchi, Paolo & Rocca, Antonella, 2021. "Evaluation of the eco-efficiency of territorial districts with seaport economic activities," Utilities Policy, Elsevier, vol. 71(C).
    5. Renata Machado de Andrade & Suhyung Lee & Paul Tae-Woo Lee & Oh Kyoung Kwon & Hye Min Chung, 2019. "Port Efficiency Incorporating Service Measurement Variables by the BiO-MCDEA: Brazilian Case," Sustainability, MDPI, vol. 11(16), pages 1-18, August.
    6. Tovar, Beatriz & Wall, Alan, 2022. "The relationship between port-level maritime connectivity and efficiency," Journal of Transport Geography, Elsevier, vol. 98(C).
    7. Sun, Jiasen & Yuan, Yang & Yang, Rui & Ji, Xiang & Wu, Jie, 2017. "Performance evaluation of Chinese port enterprises under significant environmental concerns: An extended DEA-based analysis," Transport Policy, Elsevier, vol. 60(C), pages 75-86.
    8. Mahmoudi, Reza & Emrouznejad, Ali & Shetab-Boushehri, Seyyed-Nader & Hejazi, Seyed Reza, 2020. "The origins, development and future directions of data envelopment analysis approach in transportation systems," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    9. Ahn, Young-Hyo & Min, Hokey, 2014. "Evaluating the multi-period operating efficiency of international airports using data envelopment analysis and the Malmquist productivity index," Journal of Air Transport Management, Elsevier, vol. 39(C), pages 12-22.
    10. Odeck, James & Bråthen, Svein, 2012. "A meta-analysis of DEA and SFA studies of the technical efficiency of seaports: A comparison of fixed and random-effects regression models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1574-1585.
    11. Saswati Tripathi & Bijoy Talukder, 2023. "Supply Chain Performance and Profitability in Indian Automobile Industry: Evidence of Segmental Difference," Global Business Review, International Management Institute, vol. 24(2), pages 371-392, April.
    12. Carlos Pestana Barros & Shunsuke Managi & Yuichiro Yoshida, 2010. "Technical Efficiency, Regulation And Heterogeneity In Japanese Airports," Pacific Economic Review, Wiley Blackwell, vol. 15(5), pages 685-696, December.
    13. Pal Singh, Satender & Adhikari, Arnab & Majumdar, Adrija & Bisi, Arnab, 2022. "Does service quality influence operational and financial performance of third party logistics service providers? A mixed multi criteria decision making -text mining-based investigation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    14. Rabeb KAMMOUN & Souhir ABBES, 2020. "The technical efficiency of Tunisian ports: Comparing data envelopment analysis and stochastic frontier analysis scores," Romanian Journal of Economics, Institute of National Economy, vol. 51(2(60)), pages 83-102, December.
    15. Samet Güner, 2018. "Incorporating value judgments into port efficiency measurement models: insights from Turkish ports," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 20(4), pages 569-586, December.
    16. Odeck, James & Schøyen, Halvor, 2020. "Productivity and convergence in Norwegian container seaports: An SFA-based Malmquist productivity index approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 222-239.
    17. Evelin Krmac & Mozhgan Mansouri Kaleibar, 2023. "A comprehensive review of data envelopment analysis (DEA) methodology in port efficiency evaluation," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 25(4), pages 817-881, December.
    18. Francesca Medda & Qianwen Liu, 2013. "Determinants and strategies for the development of container terminals," Journal of Productivity Analysis, Springer, vol. 40(1), pages 83-98, August.
    19. Anchal Gupta & Rajesh K. Singh & P. K. Suri, 2018. "Sustainable Service Quality Management by Logistics Service Providers: An Indian Perspective," Global Business Review, International Management Institute, vol. 19(3_suppl), pages 130-150, June.
    20. Anchal Gupta & Rajesh Kumar Singh & Pradeep Kumar Suri, 2018. "Prioritizing Critical Success Factors for Sustainable Service Quality Management by Logistics Service Providers," Vision, , vol. 22(3), pages 295-305, September.

    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:15:y:2023:i:20:p:15028-:d:1262438. 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.