The effect of supply chain integration on technical innovation in Jordan

Haya Fawzi Ayoub · Ayman Bahjat Abdallah · Taghrid Saleh Suifan

104 citations0/0 files storedBenchmarking An International Journal

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Quality and Supply Management Innovation and Knowledge Management Sustainable Supply Chain Management

Abstract

Purpose The purpose of this paper is to investigate the effect of supply chain integration (SCI) in terms of supplier integration, customer integration, and internal integration on knowledge management (KM) and technical innovation (TI). The study also investigates the effect of KM on TI. Furthermore, the mediating effect of KM on the relationship between SCI and TI is investigated. Design/methodology/approach Study model and hypotheses were developed based on literature review. The study is based on survey data collected from 217 Jordanian manufacturing companies in electrical, electronics, machinery, and mechanical appliances industries. Exploratory factor analysis and confirmatory factor analysis were applied to assess construct validity. Direct and indirect effects were tested using structural equation modeling and bootstrap re-sampling technique. Findings The results reveal that supplier integration and customer integration have positive effects on KM and TI, while internal integration has not. Also, KM has a positive effect on TI. In addition, KM mediates supplier integration-TI and customer integration-TI relationships, while does not mediate internal integration-TI relationship. Originality/value Most existing studies examined the effect of KM on SCI and supply chain management. This study argues and empirically demonstrates that SCI contributes to KM capability of manufacturing companies. Moreover, this is one of the first studies to investigate the mediating role of KM on SCI-TI relationship. The paper provides evidence that external integration is superior to internal integration in enhancing KM and TI.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 104 citations exist upstream.

References

1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error 1999Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives 1988Structural equation modeling in practice: A review and recommended two-step approach.1990Absorptive Capacity: A New Perspective on Learning and Innovation 1991Structural Equations with Latent Variables.2007Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance 2003Open Innovation: The New Imperative for Creating and Profiting from Technology 2001Knowledge Management: An Organizational Capabilities Perspective

Cited by

2017The impact of transformational leadership on employees’ creativity 2022Investigating the relationship between digital technologies, supply chain integration and firm resilience in the context of COVID-19 2018Green supply chain management and export performance 2019Intellectual capital, entrepreneurial orientation, and technical innovation in small and medium‐sized enterprises 2022

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.