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Conceptual framework for unlocking customer satisfaction drivers in digital vendor-managed inventory systems

Osarenkhoe, Aihie; Fjellström, Daniella; Gioeli, Tove; … - In: Administrative Sciences : open access journal 14 (2024) 8, pp. 1-29

There are calls in the extant literature for further exploration into the factors influencing customer satisfaction in industrial vending solutions (IVS), a distinct vendor-managed inventory method. This study delves into these factors, identifying primary drivers of satisfaction, perceptions of...

Persistent link: https://www.econbiz.de/10015071516

An advanced heuristic for multiple-option spare parts procurement after end-of-production

Inderfurth, Karl; Kleber, Rainer - In: Production and operations management : an international … 22 (2013) 1, pp. 54-70

Persistent link: https://www.econbiz.de/10009721324

A customer-based supply chain network design

Anand, T.; Pandian, R. Sudhakara - In: International journal of enterprise network management 10 (2019) 3/4, pp. 224-240

Persistent link: https://www.econbiz.de/10012155294

Supplier managed inventory in boutique manufacturing : a chance to build a better performing supply chain?

Grandzol, Christian; Grandzol, John; Pitingolo, Edward - In: Journal of the Academy of Business Education : JABE 18 (2017), pp. 143-160

Persistent link: https://www.econbiz.de/10011771554

A contract portfolio perspective on the role of customer order lead times in demand fulfilment processes with supply shortage

Seitz, Alexander; Akkerman, Renzo; Grunow, Martin - In: International journal of production research 60 (2022) 12, pp. 3792-3808

Persistent link: https://www.econbiz.de/10013499300

Service 4.0 : Technology-Enabled Customer-Centric Supply Chains

Kang, Parminder Singh; Wang, Xiaojia; Son, Joong Y.; … - 2024

Introduction to Service 4.0 and Customer-Centric Supply Chains -- Role of Big Data in Customer-Centric Service-Based Supply Chains -- Analytics Models for Customer-Centric Service-Based Supply Chains -- Achieving Customer-Centricity Through Data Analytics – Case Study on Women’s Clothing...