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Determining how internal and external process connectivity affect supply chain agility: a life-cycle theory perspective

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Determining how internal and external process connectivity affect supply chain agility: a life-cycle theory perspective. / Roscoe, Samuel; Eckstein, Dominik; Blome, Constantin et al.
In: Production Planning and Control, Vol. 31, No. 1, 02.01.2020, p. 78-91.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Roscoe, S, Eckstein, D, Blome, C & Goellner, M 2020, 'Determining how internal and external process connectivity affect supply chain agility: a life-cycle theory perspective', Production Planning and Control, vol. 31, no. 1, pp. 78-91. https://doi.org/10.1080/09537287.2019.1629704

APA

Roscoe, S., Eckstein, D., Blome, C., & Goellner, M. (2020). Determining how internal and external process connectivity affect supply chain agility: a life-cycle theory perspective. Production Planning and Control, 31(1), 78-91. https://doi.org/10.1080/09537287.2019.1629704

Vancouver

Roscoe S, Eckstein D, Blome C, Goellner M. Determining how internal and external process connectivity affect supply chain agility: a life-cycle theory perspective. Production Planning and Control. 2020 Jan 2;31(1):78-91. Epub 2019 Jun 19. doi: 10.1080/09537287.2019.1629704

Author

Roscoe, Samuel ; Eckstein, Dominik ; Blome, Constantin et al. / Determining how internal and external process connectivity affect supply chain agility : a life-cycle theory perspective. In: Production Planning and Control. 2020 ; Vol. 31, No. 1. pp. 78-91.

Bibtex

@article{9f3b94cd8c384d15ada381a29795334e,
title = "Determining how internal and external process connectivity affect supply chain agility: a life-cycle theory perspective",
abstract = "This paper examines how organizations connect internal and external processes to enable an agile response to continuous change. Drawing on life cycle theory, a hypothetical model is developed regarding the independent and combinative effects of internal and external process connectivity on supply chain agility and the moderating effect of product and supply complexity. The model is tested using hierarchical regression analysis based on survey data from 143 managers at German manufacturing firms. Our findings suggest that internal and external process connectivity have a positive effect on supply chain agility independently and collectively, with complexity having a moderating effect in particular instances. The findings build on prior research regarding the process-related enablers of supply chain agility; research that has yet to clearly differentiate between internal and external processes or uses the terms interchangeably. The theoretical contribution of the paper rests on its extension of life cycle theory to the supply chain.",
keywords = "life cycle theory, process connectivity, product complexity, Supply chain agility, supply complexity",
author = "Samuel Roscoe and Dominik Eckstein and Constantin Blome and Matthias Goellner",
note = "Publisher Copyright: {\textcopyright} 2019, {\textcopyright} 2019 Informa UK Limited, trading as Taylor & Francis Group.",
year = "2020",
month = jan,
day = "2",
doi = "10.1080/09537287.2019.1629704",
language = "English",
volume = "31",
pages = "78--91",
journal = "Production Planning and Control",
issn = "0953-7287",
publisher = "Taylor and Francis Ltd.",
number = "1",

}

RIS

TY - JOUR

T1 - Determining how internal and external process connectivity affect supply chain agility

T2 - a life-cycle theory perspective

AU - Roscoe, Samuel

AU - Eckstein, Dominik

AU - Blome, Constantin

AU - Goellner, Matthias

N1 - Publisher Copyright: © 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.

PY - 2020/1/2

Y1 - 2020/1/2

N2 - This paper examines how organizations connect internal and external processes to enable an agile response to continuous change. Drawing on life cycle theory, a hypothetical model is developed regarding the independent and combinative effects of internal and external process connectivity on supply chain agility and the moderating effect of product and supply complexity. The model is tested using hierarchical regression analysis based on survey data from 143 managers at German manufacturing firms. Our findings suggest that internal and external process connectivity have a positive effect on supply chain agility independently and collectively, with complexity having a moderating effect in particular instances. The findings build on prior research regarding the process-related enablers of supply chain agility; research that has yet to clearly differentiate between internal and external processes or uses the terms interchangeably. The theoretical contribution of the paper rests on its extension of life cycle theory to the supply chain.

AB - This paper examines how organizations connect internal and external processes to enable an agile response to continuous change. Drawing on life cycle theory, a hypothetical model is developed regarding the independent and combinative effects of internal and external process connectivity on supply chain agility and the moderating effect of product and supply complexity. The model is tested using hierarchical regression analysis based on survey data from 143 managers at German manufacturing firms. Our findings suggest that internal and external process connectivity have a positive effect on supply chain agility independently and collectively, with complexity having a moderating effect in particular instances. The findings build on prior research regarding the process-related enablers of supply chain agility; research that has yet to clearly differentiate between internal and external processes or uses the terms interchangeably. The theoretical contribution of the paper rests on its extension of life cycle theory to the supply chain.

KW - life cycle theory

KW - process connectivity

KW - product complexity

KW - Supply chain agility

KW - supply complexity

U2 - 10.1080/09537287.2019.1629704

DO - 10.1080/09537287.2019.1629704

M3 - Journal article

AN - SCOPUS:85067697634

VL - 31

SP - 78

EP - 91

JO - Production Planning and Control

JF - Production Planning and Control

SN - 0953-7287

IS - 1

ER -