scholarly journals Modelling the relationships between factors affecting the marketing of upgrades for personal computer

1997 ◽  
Vol 28 (1) ◽  
pp. 27-32
Author(s):  
L. McCarney ◽  
D. Petkov ◽  
R. Ross

The purpose of this research is to provide a framework for prioritizing the factors that affect whether or not personal computers (PCs) are upgraded. The implications of this may influence product development, manufacturing and marketing. The model presented in this article is an extension of an idea by Lambkin Day for a holistic treatment of the forces affecting marketing to the case of upgrades for PCs. The authors have used the Analytic Hierarchy Process (AHP) as a technique that permits the introduction of structure into this complex problem thus helping managers of vendor companies marketing upgrades to PCs to devise strategies for effective marketing.

2011 ◽  
Vol 97-98 ◽  
pp. 659-663
Author(s):  
Yan Chang Lv ◽  
Kevin Cullinane ◽  
Ping Lu

Container handling in the ports of the Bohai Bay region is analyzed from the perspective of the competitiveness of the Port of Qingdao. The Analytic Hierarchy Process (AHP) method is applied to this problem based on the main factors affecting the competitiveness of container handling. The results of the analysis suggest that the Port of Qingdao possesses both current and potential future competitive advantage. The paper concludes with some strategic measures and suggestions for boosting the competitiveness of the Port of Qingdao.


2019 ◽  
pp. 1-13
Author(s):  
Luz Judith Rodríguez-Esparza ◽  
Diana Barraza-Barraza ◽  
Jesús Salazar-Ibarra ◽  
Rafael Gerardo Vargas-Pasaye

Objectives: To identify early suicide risk signs on depressive subjects, so that specialized care can be provided. Various studies have focused on studying expressions on social networks, where users pour their emotions, to determine if they show signs of depression or not. However, they have neglected the quantification of the risk of committing suicide. Therefore, this article proposes a new index for identifying suicide risk in Mexico. Methodology: The proposal index is constructed through opinion mining using Twitter and the Analytic Hierarchy Process. Contribution: Using R statistical package, a study is presented considering real data, making a classification of people according to the obtained index and using information from psychologists. The proposed methodology represents an innovative prevention alternative for suicide.


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