Semantic Scholar Open Access 2020 148 sitasi

Internet of Things – the future of managing supply chain risks

Hendrik Birkel E. Hartmann

Abstrak

The purpose of this paper is to investigate the implications for supply chain risk management (SCRM) by applying internet of things (IoT). Therefore, the impact and effects on the SCRM process, as well as the internal and external pathway and the outcome of SCRM are examined.,This study adopts a multiple case study methodology with twelve companies from the manufacturing industry. This study is guided by the information processing theory (IPT) and a theory-grounded research framework to provide insights into information requirements and information processing capabilities for IoT-supported SCRM.,The studied cases demonstrate an increase in data availability in the companies that contribute to improved process transparency and process management. Furthermore, the process steps, risk transparency, risk knowledge and risk strategies have been enhanced, which enabled improved SCRM performance by fitting information requirements and information processing capabilities, thus allowing for competitive advantage.,This study offers in-depth insights for SCRM managers into the structure of IoT systems, primary use cases and changes for the process itself. Furthermore, implications for employees, incentives and barriers are identified, which could be used to redesign SCRM.,This study addresses the requirement for additional empirical research on technology-enhanced SCRM, supported by IPT as a theoretical foundation. The radical change of SCRM by IoT is demonstrated while discussing the human role, implications for SCRM strategies and identifying relevant topics for future development.

Topik & Kata Kunci

Penulis (2)

H

Hendrik Birkel

E

E. Hartmann

Format Sitasi

Birkel, H., Hartmann, E. (2020). Internet of Things – the future of managing supply chain risks. https://doi.org/10.1108/scm-09-2019-0356

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Informasi Jurnal
Tahun Terbit
2020
Bahasa
en
Total Sitasi
148×
Sumber Database
Semantic Scholar
DOI
10.1108/scm-09-2019-0356
Akses
Open Access ✓