Cited by 855Product Development and CustomizationQuality and Supply ManagementInnovation and Knowledge Management

Internal and external integration for product development: the contingency effects of uncertainty, equivocality, and platform strategy

Open access
Koufteros, Xenophon, Vonderembse, Mark, Jayaram, Jayanth·2005·Decision Sciences

Abstract

Effective product development requires firms to unify internal and external participants. As companies attempt to create this integrated environment, two important questions emerge. Does a high level of internal integration lead to a higher level of external integration? In the context of product development, this study considers whether internal integration in the form of concurrent engineering practices affects the level of external integration as manifested by customer integration, supplier product integration, and supplier process integration. External integration, in turn, may influence competitive capabilities, namely product innovation performance and quality performance. Second, using contingency theory, do certain contextual variables moderate the linkages between integration strategy (external and internal) and performance? Specifically, this study considers whether uncertainty, equivocality, and platform development strategy change the relationships among internal integration, external integration, and competitive capabilities. Data collected from 244 manufacturing firms across several industries were used to test these research questions. The results indicate that both internal and external integration positively influence product innovation and quality and ultimately, profitability. With respect to contingency effects, the results indicate that equivocality moderates the relationships between integration and performance.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/j.1540-5915.2005.00067.x

Cites

98 of 98 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The evolution of environmental practices in an external direction is only possible when companies possess the capacity to internally coordinate and integrate their processes.

    “In this area, the literature suggests that the evolution of environmental practices in an external direction is only possible when companies possess the capacity to internally coordinate and integrate their processes (Koufteros et al., 2005).”

    From The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance (2021) · cites this paper as Koufteros et al., 2005

    The Discussion reports that internal integration enables customer and supplier integration and says external integration probably would not occur without a facilitating internal system. The study concerns product-development practices, not the evolution of environmental practices, and its qualified language does not establish that internal coordination makes external evolution possible only under that condition. The supplied passages have section labels but no page numbers. (LLM, conf=0.86)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 5

  1. Barkan, P. (1992). Productivity in the process of product development-an engi- neering perspective. In G. Susman (Ed.), Integrating design for manufactur- ing for competitive advantage. New York: Oxford University Press, 56-68.
  2. Clark, K. B., & Fujimoto, T. (1991). Product development performance. Boston: Harvard Business School Press.
  3. Garvin, D. A. (1984). What does 'product quality' really mean? Sloan Management Review, Fall, 25-43.
  4. Sutcliffe, K. M., & Zaheer, A. (1998). Uncertainty in the transaction environment: An empirical test. Strategic Management Journal, 19, 1-23.
  5. Taninecz, G. (1996). Customer focus. Industry Week, 245(4), 16-17.

Cited by

Sorted by citations

Authors
Koufteros, X., Vonderembse, M., & Jayaram, J.
Affiliations
  • Florida Atlantic University (US)
  • University of Toledo (US)
  • University of South Carolina (US)
Corresponding author
  • Koufteros, Xenophon
  • Vonderembse, Mark
  • Jayaram, Jayanth
Venue
Decision Sciences
Publisher
Wiley
Published
2005-01-13
Volume
36
Issue
1
Pages
97-133
ISSN
  • 0011-7315 (ISSN-L)
  • 1540-5915
OpenAlex
W2009797023
Cited by
855
References
98
Citations by year
2026: 14 · 2025: 18 · 2024: 31 · 2023: 42 · 2022: 48 · 2021: 49 · 2020: 53 · 2019: 52 · 2018: 49 · 2017: 62 · 2016: 53 · 2015: 65 · 2014: 48 · 2013: 70 · 2012: 46
FWCI
39.32
Type
journal article
Language
en
Open access
Locations
Decision Sciences (publishedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Product Development and Customization
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Quality and Supply Management
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Innovation and Knowledge Management
Keywords
product development, internal integration, external integration, concurrent engineering, customer integration, supplier integration, product innovation performance, quality performance, profitability, uncertainty, equivocality, platform strategy, contingency theory, manufacturing companies

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review