Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Capturing the Benefits of Industry 4.0: A Business Network Perspective
AU - Schroeder, Andreas
AU - Ziaee Bigdeli, Ali
AU - Galera Zarcos, Carlos
AU - Baines, Timothy S
PY - 2019/12/10
Y1 - 2019/12/10
N2 - This study uses a business network perspective to investigate the industry 4.0 context with the internet of things (IoT) as its enabling technology and product-use data as its core network resource. A three-stage qualitative methodology (interviews, focus group, Delphi-based inquiry) was used to examine the case of an emergent IoT-based business network in the UK road transport industry to examine: (i) how aspects of product use data influence the benefit opportunities the data provide to the different network actors; (ii) how capturing of the benefit opportunities in a network context is impacted by key barriers; and (iii) how network capabilities can overcome these barriers to capture benefits from product-use data. The study, thereby, contributes to an understanding of the industry 4.0 context from a resource dependency theory perspective and provides concrete recommendations for management operating in this context.
AB - This study uses a business network perspective to investigate the industry 4.0 context with the internet of things (IoT) as its enabling technology and product-use data as its core network resource. A three-stage qualitative methodology (interviews, focus group, Delphi-based inquiry) was used to examine the case of an emergent IoT-based business network in the UK road transport industry to examine: (i) how aspects of product use data influence the benefit opportunities the data provide to the different network actors; (ii) how capturing of the benefit opportunities in a network context is impacted by key barriers; and (iii) how network capabilities can overcome these barriers to capture benefits from product-use data. The study, thereby, contributes to an understanding of the industry 4.0 context from a resource dependency theory perspective and provides concrete recommendations for management operating in this context.
KW - Industry 4.0
KW - business network
KW - industrial internet
KW - internet of things (IoT)
KW - resource dependence
U2 - 10.1080/09537287.2019.1612111
DO - 10.1080/09537287.2019.1612111
M3 - Journal article
VL - 30
SP - 1305
EP - 1321
JO - Production Planning and Control
JF - Production Planning and Control
SN - 0953-7287
IS - 16
ER -