Artikel

Supply chain partnership, supply chain collaboration and supply chain integration as the antecedents of supply chain performance

Background: It is understood that improving performance has become an important objective of supply chains. As such, strategies have been adopted as an effort towards increasing performance. Amongst these strategies, partnership, collaboration and integration have been identified. A mutual advantage of these approaches is that they facilitate cohesion between parties where knowledge and resources are pooled together and shared with the purpose of achieving optimum results. However, it is observed that the extent to which partnership, collaboration and integration affect supply chain performance collectively is a research void.Objectives: This study intended to examine the influence of partnership, collaboration and integration on supply chain performance, particularly within the small and medium enterprise (SME) sector. The theory of relational view was adopted to support the study's conceptual model.Method: The study used SmartPLS to analyse the data.Results: Three hypotheses were empirically substantiated using a sample of 271 SMEs situated in Gauteng.Conclusion: The findings revealed that the research constructs partnership, collaboration and integration influence supply chain performance in a positive way. Implications of the study are further provided.

Sprache
Englisch

Erschienen in
Journal: South African Journal of Business Management ; ISSN: 2078-5976 ; Volume: 50 ; Year: 2019 ; Issue: 1 ; Pages: 1-10 ; Cape Town: African Online Scientific Information Systems (AOSIS)

Klassifikation
Management

Ereignis
Geistige Schöpfung
(wer)
Mofokeng, Teboho M.
Chinomona, Richard
Ereignis
Veröffentlichung
(wer)
African Online Scientific Information Systems (AOSIS)
(wo)
Cape Town
(wann)
2019

DOI
doi:10.4102/sajbm.v50i1.193
Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Mofokeng, Teboho M.
  • Chinomona, Richard
  • African Online Scientific Information Systems (AOSIS)

Entstanden

  • 2019

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