scholarly journals An analytical model to evaluate the performance of associative seed producer organizations in the framework of Plan Semilla - Agrosavia (Colombia)

2019 ◽  
Vol 37 (2) ◽  
pp. 173-188
Author(s):  
Leisdy Lázaro-Palacio ◽  
Yesid Aranda-Camacho
Keyword(s):  
Cluster Analysis ◽  
Analytic Hierarchy Process ◽  
Seed Production ◽  
Analytical Model ◽  
Environmental Resources ◽  
Analytic Hierarchy ◽  
Procedural Rationality ◽  
Seed Supply ◽  
Hierarchy Process

Low access and use of quality seeds limit agricultural competitiveness. Since 2013, the Corporacion Colombiana de Investigacion Agropecuaria -Agrosavia- initiated “Plan Semilla” with the aim of consolidating nuclei of quality seed producers under associative schemes that guarantee quality seed supply in the regions where the seeds will be used. Between 2013 and 2016, we undertook characterizations of the organizations participating within the framework of Plan Semilla using various qualitative tools for their diagnostics. However, it was not possible to specify the actions that needed to be taken in order to strengthen these organizations. The aim of this research was to generate an analytical model to evaluate the performance of participating organizations that would establish quality seed production nuclei and to validate the model’s use in those organizations that produce cocoa seed in the Plan Semilla framework. An analytic hierarchy process (AHP) was used to construct the model, which is composed of 4 dimensions (technical capacities, environmental resources, organizational capacities,and management capacities) that are related to criteria that are considered decisive for the consolidation of nuclei of quality seed producers. The model was assessed by 11 experts who identified the importance weight of the elements. In the validation, we used indicators from 30 cocoa seed producer organizations participating in Plan Semilla. We calculated additive utility functions and used a cluster analysis to define the thresholds and to establish the level of performance of the organizations. The results have improved the procedural rationality for the classification of organizations that seek to consolidate quality seed production nuclei.

Index of suicide risk in Mexico using Twitter

2019 ◽  
pp. 1-13
Author(s):  
Luz Judith Rodríguez-Esparza ◽  
Diana Barraza-Barraza ◽  
Jesús Salazar-Ibarra ◽  
Rafael Gerardo Vargas-Pasaye
Keyword(s):  
Social Networks ◽  
Analytic Hierarchy Process ◽  
Suicide Risk ◽  
Opinion Mining ◽  
Real Data ◽  
Analytic Hierarchy ◽  
Specialized Care ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

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.

scholarly journals Análise do relacionamento entre a contabilidade gerencial e o processo de planejamento das organizações brasileiras

2007 ◽  
Vol 11 (spe2) ◽  
pp. 33-54 ◽  
Author(s):  
Fábio Frezatti ◽  
Reinaldo Guerreiro ◽  
Andson Braga de Aguiar ◽  
Maria Aparecida Gouvêa
Keyword(s):  
Cluster Analysis ◽  
Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Hierarchy Process

Este estudo tem por objetivo investigar a existência de relacionamento entre os perfis da contabilidade gerencial e os perfis de planejamento de empresas brasileiras por meio de uma pesquisa de campo efetuada durante o ano de 2002, entre as empresas médias e grandes do ambiente empresarial brasileiro. A amostra foi obtida a partir da abordagem probabilística, dentro de um universo de 2.281 empresas. O construto levou em conta os avanços conceituais disponíveis, a aplicação do AHP (Analytic Hierarchy Process) e, através da técnica estatística de cluster analysis, os atributos da contabilidade gerencial das entidades foram agrupados em três diferentes perfis, sendo posteriormente aplicado o teste da mediana, com o objetivo de testar a significância estatística de tais diferenças. Como conclusão, pode-se afirmar que os perfis da contabilidade gerencial têm relacionamento com os perfis de aderência conceitual do planejamento estratégico e orçamento das entidades analisadas.

scholarly journals Identifying the Most Effective Geosite Evaluation Models in Iran Using Delphi and Analytic Hierarchy Process Methods

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Moslem Ghasemi ◽  
Ezatollah Ghanavati ◽  
Jebrail Kazemi
Keyword(s):  
Analytic Hierarchy Process ◽  
Meta Analysis ◽  
Analysis Method ◽  
Analytic Hierarchy ◽  
Library Research ◽  
Frequency Of Use ◽  
Statistical Sample ◽  
Hierarchy Process ◽  
Comprehensive Study

Abstract Despite the large amount of information, including books, articles and pristine images of geotourism, there exists no comprehensive study on the collection and classification of them in Iran yet. In this research, for the modelling of geosite watersheds, 1000 articles were surveyed through library research and the models with the highest frequency of use were identified and analysed among a statistical sample of 451 local papers using the Meta-Analysis method, and then the most efficient ones were identified using Delphi and Analytic Hierarchy Process (AHP) methods. The results of this study showed that while the strengths, weaknesses, opportunities and threats (SWOT), Pralong, Reynard, AHP and Pereira models are in the first to fifth-ranked models with the highest frequency, however, Pralong, SWOT, Reynard, Perira and Comanescu models were considered as the most efficient ones in geosite modelling in Iran.

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