Prerequisites and incentives for digital information sharing in Industry 4.0-An international comparison across data types

被引:72
|
作者
Mueller, Julian M. [1 ]
Veile, Johannes W. [2 ]
Voigt, Kai-Ingo [2 ]
机构
[1] Salzburg Univ Appl Sci, Puch Salzburg Austria, Urstein Sud 1, A-5412 Salzburg, Austria
[2] Friedrich Alexander Univ Erlangen Nurnberg, Chair Ind Management, Lange Gasse 20, D-90403 Nurnberg, Germany
关键词
Digital information sharing; Industry; 4.0; Industrial Internet of Things; Buyer-supplier relationships; Social capital theory; Structural equation modeling; SUPPLY CHAIN COLLABORATION; VALUE CREATION; PERFORMANCE; INTEGRATION; FUTURE; TECHNOLOGY; MANAGEMENT; TRUST; ANTECEDENTS; COMMITMENT;
D O I
10.1016/j.cie.2020.106733
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
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页数:14
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    [J]. IEEE ACCESS, 2018, 6 : 3585 - 3593
  • [2] Data sharing in Industry 4.0-AutomationML, B2MML and International Data Spaces-based solutions
    Czvetko, Timea
    Abonyi, Janos
    [J]. JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION, 2023, 33
  • [3] A simple mechanism for sharing and transporting medical digital case information across disparate computer language and data storage environments
    Cochella, C
    Lauman, JR
    Goede, P
    Harnsberger, HR
    Katzman, GL
    [J]. JOURNAL OF DIGITAL IMAGING, 2001, 14 (02) : 187 - 189
  • [4] A simple mechanism for sharing and transporting medical digital case information across disparate computer language and data storage environments
    Christopher Cochella
    Jason R. Lauman
    Patricia Goede
    H. Ric Harnsberger
    Gregory L. Katzman
    [J]. Journal of Digital Imaging, 2001, 14 : 187 - 189
  • [5] What Influences Parents and Practitioners' Decisions to Share Personal Information within an Early Help (Social Care) Context? Implications for Practice in Sharing Digital Data across Sectors
    Smart, Deborah
    Jackson, Katherine
    Alderson, Hayley
    Foley, Thomas
    Foreman, Stephen
    Kaner, Ben
    Kaner, Eileen
    Lancaster, Helen
    Lingam, Raghu
    Rankin, Judith
    Rowlands, Gill
    Spencer, Liam
    McGovern, Ruth
    [J]. BRITISH JOURNAL OF SOCIAL WORK, 2022, 52 (04): : 2146 - 2165