scholarly journals Media Selection in Knowledge Transfer

2020 ◽  
Vol 28 (1) ◽  
pp. 86-102
Author(s):  
Ruihong Liu ◽  
Xiu-Hao Ding ◽  
Zhi Yang ◽  
Jiang Wu ◽  
Jing Yang
Keyword(s):  
Knowledge Transfer ◽  
Decision Model ◽  
Knowledge Spillover ◽  
Vital Role ◽  
Media Selection ◽  
Competitive Advantages ◽  
Analytic Hierarchy ◽  
Comprehensive Framework ◽  
Hierarchy Process

Managing knowledge transfer is a complex issue: when firms attempt to accelerate knowledge transfer at a rational cost, there is often a byproduct of knowledge spillover which harms the firms' competitive advantages. As the channel of knowledge transfer, media play a vital role for the success of knowledge transfer. However, the extant literature offers neither comprehensive framework nor a decision method to guide firms' media selection in knowledge transfer. This article develops a framework of media selection from the perspectives of performance, cost, and risk of knowledge spillover, and proposes a decision model of media selection in knowledge transfer based on analytic hierarchy process (AHP). Finally, this article applies the model to a case study to verify its effectiveness in practice. The framework is helpful to guide firms' media selection, and the decision model is valuable to facilitate firms' media selection in big knowledge transfer projects.

scholarly journals Analytic Hierarchy Process Case Study Solution Source Selection

2009 ◽  
Vol 5 (2) ◽  
pp. 35-42
Author(s):  
William Townsend
Keyword(s):  
Analytic Hierarchy Process ◽  
Decision Model ◽  
Selection Problem ◽  
Decision Criteria ◽  
Analytic Hierarchy ◽  
Source Selection ◽  
Hierarchy Process ◽  
Solution Source ◽  
Relative Weighting

The analytic hierarchy process has been used to evaluate and prioritize decision criteria for over 25 years. This case examines an application of the process to a source selection problem in an environment with several stakeholder organizations with disparate assessments of the relative weighting of various decision criteria. The process served as an effective way to establish consensus and produce a supportable decision model.

An approach for measuring a manufacturer’s preferred supplier status

2016 ◽  
Vol 28 (5) ◽  
pp. 939-963 ◽  
Author(s):  
Sunil Kumar C.V. ◽  
Srikanta Routroy
Keyword(s):  
Common Interest ◽  
Competitive Advantages ◽  
Analytic Hierarchy ◽  
Content Type ◽  
The Status ◽  
Component Manufacturing ◽  
Hierarchy Process ◽  
Characteristic Component ◽  
Grey Relation

Purpose The purpose of this paper is to assist a manufacturer with a process to measure the level of preferred supplier status (PSS) of its key suppliers along the timeline. Design/methodology/approach In measuring the PSS, the prominent preferred supplier enablers (PSEs) were identified and were broadly categorized under manufacturer’s interest component, common interest component and supplier’s characteristic component. These PSEs were further analyzed by using fuzzy analytic hierarchy process, Euclidean distance measurement and grey relation analysis methods. In order to demonstrate the application and utility of the proposed approach, a case study conducted in an Indian automotive component manufacturing company has been presented. Findings By applying the proposed methodology in a case company, the PSSs of five of its key suppliers were measured and then the suppliers’ characteristic scores were determined. Based on these scores, a preferential status plot of the suppliers was developed. Through the status plot, the manufacturer was suggested with whom the proposed initiatives can be productive and with whom the manufacturer has to appeal for improvement strategies. Research limitations/implications Since the methodology was tried in the Indian manufacturing environment, the emphasis laid on the PSEs and in turn the measurement of PSS may not address the concern at large. Practical implications Measuring PSS would not only earn competitive advantages for the manufacturers but also facilitate the evolution of competitive suppliers. Originality/value Measuring PSS along the time would assist a manufacturer to effectively manage the preferences given to its suppliers and thereby enhance the supply base contribution in the value addition process.

scholarly journals A MULTI-CRITERIA DECISION ANALYSIS APPROACH TO PALLET SELECTION: DEVELOPMENT OF A MATERIAL-OF-CONSTRUCTION EVALUATION MODEL

2021 ◽  
Vol 32 (2) ◽  
Author(s):  
Chama Chama ◽  
Kevin Harding ◽  
Jean Mulopo ◽  
Paul Chego
Keyword(s):  
Composite Materials ◽  
Decision Model ◽  
State Of The Art ◽  
Evaluation Model ◽  
Transportation Industry ◽  
Analytic Hierarchy ◽  
Independent Case ◽  
Hierarchy Process ◽  
And Storage

Although pallets have traditionally been constructed from wood, there has been a shift towards making them from plastic and other composite materials. Subsequently, the storage and transportation industry has been inundated with questions about ‘the best’ pallet material type in relation to a supply chain. In addition, in a rapidly changing global manufacturing and storage environment, industry players have difficulty justifying the high capital cost of adopting new state-of-the-art pallets. This paper seeks to build a model to identify the best pallet material-of-construction (MOC) as perceived by the end consumer. The approach used for this was based on different stages of building an assistive multi-criteria decision model. This included modelling the decision framework using the analytic hierarchy process and undertaking an independent case study as the baseline for the modelling.

scholarly journals User needs elicitation via analytic hierarchy process (AHP). A case study on a Computed Tomography (CT) scanner

2013 ◽  
Vol 13 (1) ◽  
Author(s):  
Leandro Pecchia ◽  
Jennifer L Martin ◽  
Angela Ragozzino ◽  
Carmela Vanzanella ◽  
Arturo Scognamiglio ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Analytic Hierarchy Process ◽  
User Needs ◽  
Ct Scanner ◽  
Analytic Hierarchy ◽  
Hierarchy Process

Integrated Quality Function Deployment as a Tool for Quality Achievement in Healthcare

2012 ◽  
Vol 1 (2) ◽  
pp. 80-92 ◽  
Author(s):  
Chintala Venkateswarlu ◽  
A. K. Birru
Keyword(s):  
Analytic Hierarchy Process ◽  
Quality Function Deployment ◽  
Healthcare Services ◽  
Relative Importance ◽  
Analytic Hierarchy ◽  
Direct Evaluation ◽  
Quality Function ◽  
Model Combining ◽  
Hierarchy Process

Quality function deployment (QFD) is a methodology that extracts client demands (CDs) and inducting them in the final service/product. Once CDs are extracted from client the traditional QFD approach uses absolute importance to identify the degree of importance for each CD. Direct evaluation of CDs based on absolute weighting without tradeoffs is easy to perform, but may lead to serious deviations from reality. An alternative to avoid this problem is to adopt the analytic hierarchy process (AHP) approach. In this paper, an integrated model combining AHP and QFD has been delineated as a quality achievement tool in healthcare. A case study is performed on the healthcare services provided by government general hospital, Indore District, Madhya Pradesh, India and data has been analyzed to benchmark the proposed framework by computing the degree of relative importance for CDs through AHP and incorporating them in subsequent deployment matrices.

scholarly journals A decision support method for evaluating database designs

2012 ◽  
Vol 9 (1) ◽  
pp. 81-106 ◽  
Author(s):  
Erki Eessaar ◽  
Marek Soobik
Keyword(s):  
Decision Support ◽  
Data Model ◽  
Processing System ◽  
Transaction Processing ◽  
Database Management System ◽  
Pairwise Comparisons ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Decision Support Method

It is possible to produce different database designs based on the same set of requirements to a database. In this paper, we present a decision support method for comparing different database designs and for selecting one of them as the best design. Each data model is an abstract language that can be used to create many different databases. The proposed method is flexible in the sense that it can be used in case of different data models, criteria, and designs. The method is based on the Analytic Hierarchy Process and uses pairwise comparisons. We also present a case study about comparing four designs of SQL databases in case of PostgreSQL? database management system. The results depend on the context where the designs will be used. Hence, we evaluate the designs in case of two different contexts - management of measurements data and an online transaction processing system.

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