IDEAS home Printed from https://ideas.repec.org/a/eco/journ3/2017-02-11.html
   My bibliography  Save this article

Examining the Relationship between Supply Chain Relationships and Practice of Distributors (Case Study: NoshinCo)

Author

Listed:
  • Hassan Mehrmanesh

    (Department of Industrial Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran,)

  • Seyed Rahim Safavi Mirmahalleh

    (Department of Management, University of Payame Noor, Tehran, Iran.)

Abstract

The term “relationships” covers a lot of ground in supply chain management. There are strategic relationships, tactical relationships, transactional relationships, internal relationships, and possibly more. For industrial companies, the last part of the supply chain that is distribution and sale is of great importance duets to its direct relationship with the profit, so they seek to improve the performance of their distributors at the end of the supply chain at any costs. This study aims to investigate the relationship between supply chain relationships and the performance of distributors of manufacturing company, and research methods is descriptive-correlational. The study population is NoshinCo. The results show that there is a significant relationship between relationships in supply chain and the performance of distributors.

Suggested Citation

  • Hassan Mehrmanesh & Seyed Rahim Safavi Mirmahalleh, 2017. "Examining the Relationship between Supply Chain Relationships and Practice of Distributors (Case Study: NoshinCo)," International Review of Management and Marketing, Econjournals, vol. 7(2), pages 67-70.
  • Handle: RePEc:eco:journ3:2017-02-11
    as

    Download full text from publisher

    File URL: http://www.econjournals.com/index.php/irmm/article/download/4460/pdf
    Download Restriction: no

    File URL: http://www.econjournals.com/index.php/irmm/article/view/4460/pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Estampe, Dominique & Lamouri, Samir & Paris, Jean-Luc & Brahim-Djelloul, Sakina, 2013. "A framework for analysing supply chain performance evaluation models," International Journal of Production Economics, Elsevier, vol. 142(2), pages 247-258.
    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. Suhong Li & Thomas Ngniatedema & Fang Chen, 2017. "Understanding the Impact of Green Initiatives and Green Performance on Financial Performance in the US," Business Strategy and the Environment, Wiley Blackwell, vol. 26(6), pages 776-790, September.
    2. Bo Yan & Zhuo Chen & Hongyuan Li, 2019. "Evaluation of agri-product supply chain competitiveness based on extension theory," Operational Research, Springer, vol. 19(2), pages 543-570, June.
    3. Daniela Petrikova & Tatiana Sorokova, 2016. "Managerial And Entrepreneurial Skills As Determinants Of Business," Polish Journal of Management Studies, Czestochowa Technical University, Department of Management, vol. 14(1), pages 184-194, December.
    4. Mian Muhammad Atif & Sajjad Nazir & Syed Muhammad Abdullah, 2017. "Antecedents of Organizational Performance in Challenging Business Environment: The role of Employee Commitment and Supply Chain Integration," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 9(4), pages 65-82, December.
    5. Blanka Tundys & Tomasz Wiśniewski, 2018. "The Selected Method and Tools for Performance Measurement in the Green Supply Chain—Survey Analysis in Poland," Sustainability, MDPI, vol. 10(2), pages 1-26, February.
    6. Manel Elmsalmi & Wafik Hachicha & Awad M. Aljuaid, 2021. "Prioritization of the Best Sustainable Supply Chain Risk Management Practices Using a Structural Analysis Based-Approach," Sustainability, MDPI, vol. 13(9), pages 1-15, April.
    7. Adivar, Burcu & Hüseyinoğlu, Işık Özge Yumurtacı & Christopher, Martin, 2019. "A quantitative performance management framework for assessing omnichannel retail supply chains," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 257-269.
    8. Seiler, A. & Papanagnou, C. & Scarf, P., 2020. "On the relationship between financial performance and position of businesses in supply chain networks," International Journal of Production Economics, Elsevier, vol. 227(C).
    9. Lima-Junior, Francisco Rodrigues & Carpinetti, Luiz Cesar Ribeiro, 2019. "Predicting supply chain performance based on SCOR® metrics and multilayer perceptron neural networks," International Journal of Production Economics, Elsevier, vol. 212(C), pages 19-38.
    10. Brint, Andrew & Genovese, Andrea & Piccolo, Carmela & Taboada-Perez, Gerardo J., 2021. "Reducing data requirements when selecting key performance indicators for supply chain management: The case of a multinational automotive component manufacturer," International Journal of Production Economics, Elsevier, vol. 233(C).
    11. Chahal, Hardeep & Gupta, Mahesh & Bhan, Namrita & Cheng, T.C.E., 2020. "Operations management research grounded in the resource-based view: A meta-analysis," International Journal of Production Economics, Elsevier, vol. 230(C).
    12. Widarti Widarti & Desfitrina Desfitrina & Zulfadhli Zulfadhli, 2020. "Business Process Life Cycle Affects Company Financial Performance: Micro, Small, and Medium Business Enterprises During The Covid-19 Period," International Journal of Economics and Financial Issues, Econjournals, vol. 10(5), pages 211-219.
    13. Dey, Prasanta Kumar & Bhattacharya, Arijit & Ho, William, 2015. "Strategic supplier performance evaluation: A case-based action research of a UK manufacturing organisation," International Journal of Production Economics, Elsevier, vol. 166(C), pages 192-214.
    14. Hald, Kim Sundtoft & Mouritsen, Jan, 2018. "The evolution of performance measurement systems in a supply chain: A longitudinal case study on the role of interorganisational factors," International Journal of Production Economics, Elsevier, vol. 205(C), pages 256-271.
    15. Somayeh Soheilirad & Kannan Govindan & Abbas Mardani & Edmundas Kazimieras Zavadskas & Mehrbakhsh Nilashi & Norhayati Zakuan, 2018. "Application of data envelopment analysis models in supply chain management: a systematic review and meta-analysis," Annals of Operations Research, Springer, vol. 271(2), pages 915-969, December.
    16. Mendes, Paulo & Leal, José Eugênio & Thomé, Antônio Márcio Tavares, 2016. "A maturity model for demand-driven supply chains in the consumer product goods industry," International Journal of Production Economics, Elsevier, vol. 179(C), pages 153-165.
    17. Fatma Lehyani & Alaeddine Zouari, 2015. "Evaluating And Measuring Knowledge Management's Impact On Supply Chain Performance Using HOQ," Post-Print hal-01893159, HAL.
    18. Ilias P. Vlachos, 2014. "Reverse food logistics during the product life cycle," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 9(1/2), pages 49-83.
    19. Zanon, Lucas Gabriel & Munhoz Arantes, Rafael Ferro & Calache, Lucas Daniel Del Rosso & Carpinetti, Luiz Cesar Ribeiro, 2020. "A decision making model based on fuzzy inference to predict the impact of SCOR® indicators on customer perceived value," International Journal of Production Economics, Elsevier, vol. 223(C).
    20. Agata Mesjasz-Lech, 2014. "The Use Of It Systems Supporting The Realization Of Business Processes In Enterprises And Supply Chains In Poland," Polish Journal of Management Studies, Czestochowa Technical University, Department of Management, vol. 10(2), pages 94-103, December.

    More about this item

    Keywords

    Supply Chain; Relationships; Supply Chain; Distributors’ Performance; NoshinCo;
    All these keywords.

    JEL classification:

    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

    Statistics

    Access and download statistics

    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:eco:journ3:2017-02-11. 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: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.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.