IDEAS home Printed from https://ideas.repec.org/a/mgs/jibrme/v5y2020i6p13-18.html
   My bibliography  Save this article

The Role of Process Improvements Tools in Building Relationship between Suppliers and Industrial Clients

Author

Listed:
  • Maciej Urbaniak

    (Faculty of Management, Lodz University Matejki 22/26, 90- 237 Lodz, Poland)

Abstract

The purpose of this research paper is to present the role of process improvements tools in building relationships between clients and suppliers on the industrial goods market. Their identification was based on an analysis of the literature, as well as on the results of empirical research conducted by the CATI technique and covered 300 producers that were suppliers for enterprises from the chemical, metal and automotive industry sectors operating in Poland. The results of the conducted research indicate that the main supplier requirements relating to technical quality of products, shortening cycles of process implementation and willingness of the supplier to reduce costs. One could also observe that for many industrial clients, their relationships with suppliers are not just confined to fulfilling rigorous requirements. Increasingly, they recognize that building their competitive advantage also requires building partnerships with suppliers that are manifested in joint projects in the field of effective application of the requirements of tool (like quality, environmental and safety management systems, Toyota Production System or Lean Management concept), which have an impact on the improvement of the products and processes in the supply chain.

Suggested Citation

  • Maciej Urbaniak, 2020. "The Role of Process Improvements Tools in Building Relationship between Suppliers and Industrial Clients," Journal of International Business Research and Marketing, Inovatus Services Ltd., vol. 5(6), pages 13-18, September.
    • Handle: RePEc:mgs:jibrme:v:5:y:2020:i:6:p:13-18
    DOI: 10.18775/jibrm.1849-8558.2015.56.3002
    as

    Download full text from publisher

    File URL: https://researchleap.com/wp-content/uploads/2020/10/02.-The_Role_of_Process_Improvements_Tools_in_Building_Relationship.pdf
    Download Restriction: no
    File URL: https://researchleap.com/role-process-improvements-tools-building-relationship-suppliers-industrial-clients/
    Download Restriction: no
    File URL: https://libkey.io/10.18775/jibrm.1849-8558.2015.56.3002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Reza Mohammady Garfamy, 2011. "Supplier selection and business process improvement: an exploratory multiple case study," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 10(2), pages 240-255.
    2. Katiyar, Rajesh & Meena, Purushottam L. & Barua, Mukesh Kumar & Tibrewala, Rajen & Kumar, Gopal, 2018. "Impact of sustainability and manufacturing practices on supply chain performance: Findings from an emerging economy," International Journal of Production Economics, Elsevier, vol. 197(C), pages 303-316.
    3. Boon-itt, Sakun & Wong, Chee Yew & Wong, Christina W.Y., 2017. "Service supply chain management process capabilities: Measurement development," International Journal of Production Economics, Elsevier, vol. 193(C), pages 1-11.
    4. Nicky J. Welton & Howard H. Z. Thom, 2015. "Value of Information," Medical Decision Making, , vol. 35(5), pages 564-566, July.
    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. Lee, Alice J. & Ames, Daniel R., 2017. "“I can’t pay more” versus “It’s not worth more”: Divergent effects of constraint and disparagement rationales in negotiations," Organizational Behavior and Human Decision Processes, Elsevier, vol. 141(C), pages 16-28.
    2. Hussain, Hadia & Murtaza, Murtaza & Ajmal, Areeb & Ahmed, Afreen & Khan, Muhammad Ovais Khalid, 2020. "A study on the effects of social media advertisement on consumer’s attitude and customer response," MPRA Paper 104675, University Library of Munich, Germany.
    3. A. G. Fatullayev & Nizami A. Gasilov & Şahin Emrah Amrahov, 2019. "Numerical solution of linear inhomogeneous fuzzy delay differential equations," Fuzzy Optimization and Decision Making, Springer, vol. 18(3), pages 315-326, September.
    4. Arun Advani & William Elming & Jonathan Shaw, 2023. "The Dynamic Effects of Tax Audits," The Review of Economics and Statistics, MIT Press, vol. 105(3), pages 545-561, May.
    5. Philippe Aghion & Ufuk Akcigit & Matthieu Lequien & Stefanie Stantcheva, 2017. "Tax simplicity and heterogeneous learning," CEP Discussion Papers dp1516, Centre for Economic Performance, LSE.
    6. Marie Bjørneby & Annette Alstadsæter & Kjetil Telle, 2018. "Collusive tax evasion by employers and employees. Evidence from a randomized fi eld experiment in Norway," Discussion Papers 891, Statistics Norway, Research Department.
    7. Chuangen Gao & Shuyang Gu & Jiguo Yu & Hai Du & Weili Wu, 2022. "Adaptive seeding for profit maximization in social networks," Journal of Global Optimization, Springer, vol. 82(2), pages 413-432, February.
    8. Koessler, Frederic & Laclau, Marie & Renault, Jérôme & Tomala, Tristan, 2022. "Long information design," Theoretical Economics, Econometric Society, vol. 17(2), May.
    9. Annette Alstadsæter & Wojciech Kopczuk & Kjetil Telle, 2019. "Social networks and tax avoidance: evidence from a well-defined Norwegian tax shelter," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(6), pages 1291-1328, December.
    10. Sebastian Kaumanns, 2019. "“Some fuzzy math”: relational information on debt value adjustments by managers and the financial press," Business Research, Springer;German Academic Association for Business Research, vol. 12(2), pages 755-794, December.
    11. Samuel J Gershman, 2015. "A Unifying Probabilistic View of Associative Learning," PLOS Computational Biology, Public Library of Science, vol. 11(11), pages 1-20, November.
    12. Arun Advani, 2022. "Who does and doesn't pay taxes?," Fiscal Studies, John Wiley & Sons, vol. 43(1), pages 5-22, March.
    13. Steve Fortin & Ahmad Hammami & Michel Magnan, 2021. "Re‐exploring Fair Value Accounting and Value Relevance: An Examination of Underlying Securities," Abacus, Accounting Foundation, University of Sydney, vol. 57(2), pages 220-250, June.
    14. de Camargo Fiorini, Paula & Roman Pais Seles, Bruno Michel & Chiappetta Jabbour, Charbel Jose & Barberio Mariano, Enzo & de Sousa Jabbour, Ana Beatriz Lopes, 2018. "Management theory and big data literature: From a review to a research agenda," International Journal of Information Management, Elsevier, vol. 43(C), pages 112-129.
    15. Jacobs, Mattis & Kurtz, Christian & Simon, Judith & Böhmann, Tilo, 2021. "Value Sensitive Design and power in socio-technical ecosystems," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 10(3), pages 1-26.
    16. Kristian D. Allee & Daniel D. Wangerin, 2018. "Auditor monitoring and verification in financial contracts: evidence from earnouts and SFAS 141(R)," Review of Accounting Studies, Springer, vol. 23(4), pages 1629-1664, December.
    17. Bertschek, Irene & Kesler, Reinhold, 2022. "Let the user speak: Is feedback on Facebook a source of firms’ innovation?," Information Economics and Policy, Elsevier, vol. 60(C).
    18. Peretzke, Julia & Sandhaus, Gregor, 2017. "Einsatzpotentiale von Cognitive Computing zur Unterstützung der Entscheidungsfindung im Supply Chain Management," ild Schriftenreihe 53, FOM Hochschule für Oekonomie & Management, Institut für Logistik- & Dienstleistungsmanagement (ild).
    19. Németh Tamás, 2019. "How to back up Modules with blended learning The e-Learning platform of FAME," Prosperitas, Budapest Business University, vol. 6(1), pages 102-112.
    20. Marte C.W. Solheim & Ron Boschma & Sverre Herstad, 2018. "Related variety, unrelated variety and the novelty content of firm innovation in urban and non-urban locations," Papers in Evolutionary Economic Geography (PEEG) 1836, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Oct 2018.

    More about this item

    Keywords

    Industrial goods market; Process improvement tools; Supplier requirements; Supply chain management;
    All these keywords.

    JEL classification:

    • M00 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - General - - - General

    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:mgs:jibrme:v:5:y:2020:i:6:p:13-18. 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: Bojan Obrenovic (email available below). General contact details of provider: https://researchleap.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.