Abstract
| Original language | English |
|---|---|
| Journal | Computers and Industrial Engineering |
| Volume | 148 |
| DOIs | |
| Publication status | Published - 2020 |
Keywords
- Buyer-supplier relationships
- Digital information sharing
- Industrial Internet of Things
- Industry 4.0
- Social capital theory
- Structural equation modeling
- Enterprise resource planning
- Industrial research
- Information analysis
- Supply chains
- Telecommunication services
- Digital information
- Industrial enterprise
- Information sharing
- International comparison
- Small and medium-sized enterprise
- Technical implementation
- Vertical interconnections
- Information dissemination
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In: Computers and Industrial Engineering, Vol. 148, 2020.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Prerequisites and incentives for digital information sharing in Industry 4.0 – An international comparison across data types
AU - Müller, J.M.
AU - Veile, J.W.
AU - Voigt, K.-I.
N1 - Cited By :68 Export Date: 14 December 2023 CODEN: CINDD Correspondence Address: Müller, J.M.; Salzburg University of Applied Sciences, Urstein Süd 1, 5412 Puch, Austria; email: [email protected] References: Adler, P.S., Kwon, S.W., Social capital: Prospects for a new concept (2002) Academy of Management Review, 27 (1), pp. 17-40; Anh, N.T.M., Hui, L., Khoa, V.D., Mehmood, S., Relational capital and supply chain collaboration for radical and incremental innovation (2019) Asia Pacific Journal of Marketing and Logistics, 31 (4), pp. 1076-1094; Barratt, M., Understanding the meaning of collaboration in the supply chain (2004) Supply Chain Management: An International Journal, 9 (1), pp. 30-42; Bollen, K., Lennox, R., Conventional wisdom on measurement: A structural equation perspective (1991) Psychological Bulletin, 110 (2), pp. 305-314; Büyüközkan, G., Göçer, F., Digital supply chain: Literature review and a proposed framework for future research (2018) Computers in Industry, 97, pp. 157-177; Carey, S., Lawson, B., Krause, D.R., Social capital configuration, legal bonds and performance in buyer–supplier relationships (2011) Journal of Operations Management, 29 (4), pp. 277-288; Carmines, E.G., Zeller, R.A., Reliability and validity assessment (1979), Sage Newbury Park; Chae, B., Yen, H.R., Sheu, C., Information technology and supply chain collaboration: Moderating effects of existing relationships between partners (2005) IEEE Transactions on Engineering Management, 52 (4), pp. 440-448; Chin, W.W., The partial least squares approach to structural equation modeling (1998) Modern Methods of Business Research, pp. 295-336. , G.A. 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PY - 2020
Y1 - 2020
N2 - Digital information sharing within supply chains is seen as a central prerequisite to implement Industry 4.0, relating to one of its core characteristics, horizontal and vertical interconnection. Besides the technical implementation, aspects such as lacking trust, unclear benefits for suppliers and different perceptions of Industry 4.0 hamper digital information sharing, especially by small and medium-sized enterprises (SMEs). In response, this paper investigates social capital and further influential factors as prerequisites for information sharing between buyers and suppliers in the context of Industry 4.0. Further, the paper aims to find the targets that suppliers pursue in digital information sharing, presenting possible incentives that could be provided by their customers. Regional and data-specific differences shall further be uncovered. The research model developed is based on established constructs and was further refined by integrating the expert knowledge of an industrial enterprise regarded. A structural equation model is tested with empirical data, collected from a final sample of 957 of its suppliers worldwide. Among others, the paper uncovers that digital information sharing for German suppliers shows high correlations with social interaction, trust, and benefit sharing. Further, several targets are identified that suppliers pursue by digital information sharing, for instance showing particularly high correlations for suppliers from China and Southern Europe. Among different data types, trust is especially important for sharing production and process data. The findings are then discussed from a theoretical and managerial perspective, highlighting avenues for future research. © 2020 The Author(s)
AB - Digital information sharing within supply chains is seen as a central prerequisite to implement Industry 4.0, relating to one of its core characteristics, horizontal and vertical interconnection. Besides the technical implementation, aspects such as lacking trust, unclear benefits for suppliers and different perceptions of Industry 4.0 hamper digital information sharing, especially by small and medium-sized enterprises (SMEs). In response, this paper investigates social capital and further influential factors as prerequisites for information sharing between buyers and suppliers in the context of Industry 4.0. Further, the paper aims to find the targets that suppliers pursue in digital information sharing, presenting possible incentives that could be provided by their customers. Regional and data-specific differences shall further be uncovered. The research model developed is based on established constructs and was further refined by integrating the expert knowledge of an industrial enterprise regarded. A structural equation model is tested with empirical data, collected from a final sample of 957 of its suppliers worldwide. Among others, the paper uncovers that digital information sharing for German suppliers shows high correlations with social interaction, trust, and benefit sharing. Further, several targets are identified that suppliers pursue by digital information sharing, for instance showing particularly high correlations for suppliers from China and Southern Europe. Among different data types, trust is especially important for sharing production and process data. The findings are then discussed from a theoretical and managerial perspective, highlighting avenues for future research. © 2020 The Author(s)
KW - Buyer-supplier relationships
KW - Digital information sharing
KW - Industrial Internet of Things
KW - Industry 4.0
KW - Social capital theory
KW - Structural equation modeling
KW - Enterprise resource planning
KW - Industrial research
KW - Information analysis
KW - Supply chains
KW - Telecommunication services
KW - Digital information
KW - Industrial enterprise
KW - Information sharing
KW - International comparison
KW - Small and medium-sized enterprise
KW - Technical implementation
KW - Vertical interconnections
KW - Information dissemination
U2 - 10.1016/j.cie.2020.106733
DO - 10.1016/j.cie.2020.106733
M3 - Article
SN - 0360-8352
VL - 148
JO - Computers and Industrial Engineering
JF - Computers and Industrial Engineering
ER -