Search results

1 – 2 of 2
Per page
102050
Citations:
Loading...
Access Restricted. View access options
Article
Publication date: 26 November 2024

Mahdi Yadegari and Shahriar Mohammadi

Selecting an appropriate strategy can significantly influence an organization’s direction, but numerous interrelated factors make this decision complex and uncertain. Identifying…

35

Abstract

Purpose

Selecting an appropriate strategy can significantly influence an organization’s direction, but numerous interrelated factors make this decision complex and uncertain. Identifying these relationships and making informed decisions often involves navigating uncertainty. This paper aims to assist managers in leveraging the organization’s intellectual assets to select the most suitable knowledge management strategy.

Design/methodology/approach

This research proposes fuzzy cognitive maps to model and select the appropriate strategy. Given that knowledge is a company’s most valuable asset and its management is critical, the proposed method for selecting a knowledge management strategy was tested in one of Iran’s largest logistics companies. The factors influencing strategy adoption were treated as concepts in the fuzzy cognitive network, with evaluation criteria applied to three strategies: human-oriented, system-oriented and dynamic.

Findings

The model’s output identifies the most suitable strategy based on knowledge management principles and the specific characteristics of the target project within the organization. Compared to the most cited paper in this field, the proposed model shows a 0.15% improvement in sensitivity and a 0.22% improvement in separation degree.

Originality/value

This study proposes a novel method using fuzzy cognitive maps to assist organizations in selecting the best knowledge management strategy, even amidst multiple influencing factors and uncertain conditions.

Details

VINE Journal of Information and Knowledge Management Systems, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2059-5891

Keywords

Access Restricted. View access options
Article
Publication date: 28 January 2020

Sathies T., Senthil P. and Anoop M.S.

Fabrication of customized products in low volume through conventional manufacturing incurs a high cost, longer processing time and huge material waste. Hence, the concept of…

1751

Abstract

Purpose

Fabrication of customized products in low volume through conventional manufacturing incurs a high cost, longer processing time and huge material waste. Hence, the concept of additive manufacturing (AM) comes into existence and fused deposition modelling (FDM), is at the forefront of researches related to polymer-based additive manufacturing. The purpose of this paper is to summarize the research works carried on the applications of FDM.

Design/methodology/approach

In the present paper, an extensive review has been performed related to major application areas (such as a sensor, shielding, scaffolding, drug delivery devices, microfluidic devices, rapid tooling, four-dimensional printing, automotive and aerospace, prosthetics and orthosis, fashion and architecture) where FDM has been tested. Finally, a roadmap for future research work in the FDM application has been discussed. As an example for future research scope, a case study on the usage of FDM printed ABS-carbon black composite for solvent sensing is demonstrated.

Findings

The printability of composite filament through FDM enhanced its application range. Sensors developed using FDM incurs a low cost and produces a result comparable to those conventional techniques. EMI shielding manufactured by FDM is light and non-oxidative. Biodegradable and biocompatible scaffolds of complex shapes are possible to manufacture by FDM. Further, FDM enables the fabrication of on-demand and customized prosthetics and orthosis. Tooling time and cost involved in the manufacturing of low volume customized products are reduced by FDM based rapid tooling technique. Results of the solvent sensing case study indicate that three-dimensional printed conductive polymer composites can sense different solvents. The sensors with a lower thickness (0.6 mm) exhibit better sensitivity.

Originality/value

This paper outlines the capabilities of FDM and provides information to the user about the different applications possible with FDM.

Details

Rapid Prototyping Journal, vol. 26 no. 4
Type: Research Article
ISSN: 1355-2546

Keywords

1 – 2 of 2
Per page
102050