University of Hertfordshire

A Knowledge Network and Mobilisation Framework for Lean Supply Chain Decisions in Agri-Food Industry

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A Knowledge Network and Mobilisation Framework for Lean Supply Chain Decisions in Agri-Food Industry. / Chen, Huilan ; Liu, Shaofeng; Oderanti, Festus.

In: International Journal of Decision Support System Technology (IJDSST) 9(4), Vol. 9, No. 4, 01.10.2017, p. 37-48.

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@article{ae3fe9997d4340fe8f2c51c79a9fb6c7,
title = "A Knowledge Network and Mobilisation Framework for Lean Supply Chain Decisions in Agri-Food Industry",
abstract = "Making the right decisions for food supply chain is extremely important towards achieving sustainability in agricultural businesses. This paper explores that knowledge sharing to support food supply chain decisions to achieve lean performance (i.e. to reduce/eliminate non-value-adding activities, or “waste” in lean term). The focus of the paper is on defining new knowledge networks and mobilisation approaches to address the network and community nature of current supply chains. Based on critical analysis of the state-of-the-art in the topic area, a knowledge network and mobilisation framework for lean supply chain management has been developed. The framework has then been evaluated using a case study from the food supply chain. Analytic Hierarchy Process (AHP) has been used to incorporate expert's view on the defined knowledge networks and mobilisation approaches with respect to their contribution to achieving various lean performance objectives. The results from the work have a number of implications for current knowledge management and supply chain management in theory and in practice.",
author = "Huilan Chen and Shaofeng Liu and Festus Oderanti",
note = "Copyright {\textcopyright}2017 IGI Global. Reproduced with permission from IGI Global. All rights, including translation into other languages reserved by the publisher. No part of this article may be reproduced or used in any form or by any means without written permission from the publisher, except for noncommercial, educational use including classroom teaching purposes.",
year = "2017",
month = oct,
day = "1",
doi = "10.4018/IJDSST.2017100103",
language = "English",
volume = "9",
pages = "37--48",
journal = "International Journal of Decision Support System Technology (IJDSST) 9(4)",
issn = "1941-6296",
publisher = "IGI Global Publishing",
number = "4",

}

RIS

TY - JOUR

T1 - A Knowledge Network and Mobilisation Framework for Lean Supply Chain Decisions in Agri-Food Industry

AU - Chen, Huilan

AU - Liu, Shaofeng

AU - Oderanti, Festus

N1 - Copyright ©2017 IGI Global. Reproduced with permission from IGI Global. All rights, including translation into other languages reserved by the publisher. No part of this article may be reproduced or used in any form or by any means without written permission from the publisher, except for noncommercial, educational use including classroom teaching purposes.

PY - 2017/10/1

Y1 - 2017/10/1

N2 - Making the right decisions for food supply chain is extremely important towards achieving sustainability in agricultural businesses. This paper explores that knowledge sharing to support food supply chain decisions to achieve lean performance (i.e. to reduce/eliminate non-value-adding activities, or “waste” in lean term). The focus of the paper is on defining new knowledge networks and mobilisation approaches to address the network and community nature of current supply chains. Based on critical analysis of the state-of-the-art in the topic area, a knowledge network and mobilisation framework for lean supply chain management has been developed. The framework has then been evaluated using a case study from the food supply chain. Analytic Hierarchy Process (AHP) has been used to incorporate expert's view on the defined knowledge networks and mobilisation approaches with respect to their contribution to achieving various lean performance objectives. The results from the work have a number of implications for current knowledge management and supply chain management in theory and in practice.

AB - Making the right decisions for food supply chain is extremely important towards achieving sustainability in agricultural businesses. This paper explores that knowledge sharing to support food supply chain decisions to achieve lean performance (i.e. to reduce/eliminate non-value-adding activities, or “waste” in lean term). The focus of the paper is on defining new knowledge networks and mobilisation approaches to address the network and community nature of current supply chains. Based on critical analysis of the state-of-the-art in the topic area, a knowledge network and mobilisation framework for lean supply chain management has been developed. The framework has then been evaluated using a case study from the food supply chain. Analytic Hierarchy Process (AHP) has been used to incorporate expert's view on the defined knowledge networks and mobilisation approaches with respect to their contribution to achieving various lean performance objectives. The results from the work have a number of implications for current knowledge management and supply chain management in theory and in practice.

U2 - 10.4018/IJDSST.2017100103

DO - 10.4018/IJDSST.2017100103

M3 - Article

VL - 9

SP - 37

EP - 48

JO - International Journal of Decision Support System Technology (IJDSST) 9(4)

JF - International Journal of Decision Support System Technology (IJDSST) 9(4)

SN - 1941-6296

IS - 4

ER -