Details

Autor(en) / Beteiligte

• Raman, Seetha
• Patwa, Nitin
• Niranjan, Indu
• Ranjan, Ujjwal
• Moorthy, Krishna
• Mehta, Ami

Titel

Impact of big data on supply chain management

Ist Teil von

• International journal of logistics, 2018-11, Vol.21 (6), p.579-596

Ort / Verlag

Abingdon: Taylor & Francis

Erscheinungsjahr

2018

Link zum Volltext

Quelle

Taylor & Francis

Beschreibungen/Notizen

• This study focuses on big data, which offer new opportunities, added value and operational excellence for existing supply chain practices. A survey was conducted among employees of multinational companies across the United States, the Middle East, Europe, Asia and Australia. Structural equation modelling was employed for the statistical analysis of the survey data. The results show that demand management, vendor rating, the Internet of things (IoT), analytics and data science affect the supply chain industry regarding operational excellence, cost savings, customer satisfaction, visibility and reducing the communication gap between demand management and supply chain management (SCM). The adoption of big data technology can create considerable value-added and monetary gain for firms and will soon become a standard throughout the industry. This research provides a new description of the Supply Chain Operations Reference (SCOR) model by incorporating big data and SCM.