Propensity Customer the Proposition of Lawsuits: Development and test of Predictive Model for the Electricity Sector

Detalhes bibliográficos
Autor(a) principal: Almeida, Victor Manoel Cunha de
Data de Publicação: 2014
Outros Autores: Figueiredo, Otávio Henrique dos Santos, Silva, Gilberto Figueira da
Tipo de documento: Artigo
Idioma: por
Título da fonte: REMark - Revista Brasileira de Marketing
Texto Completo: https://periodicos.uninove.br/remark/article/view/12052
Resumo: The study aimed to propose and test a model to predict the propensity of lawsuits of Power sector utility customers. The effects of customer profile, motives of complaints, and the history of administrative actions, on the propensity to lawsuits, were investigated. The paradigm of disconfirmation of expectations was used as a theoretical framework for this study. We adopted a substantive approach to the development and testing of the predictive model. The technique of Classification Tree was chosen to operationalize the model. The method specified in this study for the creation of the decision tree was the CHAID (Chi Square Interaction Detector). Data analysis shows that the propensity to the proposition of a lawsuit does not solely depend on the nature of the problem faced by the client, but the profile and trajectory relationship with the utility provider. The results of this study offer empirical support to the theoretical paradigm of disconfirmation of expectations, more specifically, with regard to the Satisfaction Theory, Attribution Theory and the Theory of Justice and Equity. The main managerial contribution of the study lies in propose a predictive model that allows utility providers to assign each customer a probability to propose a lawsuit, which enables the proactive adoption of practices by the managers, aiming to better serve the public.
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spelling Propensity Customer the Proposition of Lawsuits: Development and test of Predictive Model for the Electricity SectorPropensão do Cliente à Proposição de Ações Judiciais: Proposição e Teste de Modelo Preditivo para o Setor de Energia ElétricaConsumer Behavior; Dissatisfaction; Lawsuits; Classification Tree; Predictive Model.Comportamento do consumidor; Insatisfação; Ações judiciais; Árvore de classificação; Modelo preditivo.The study aimed to propose and test a model to predict the propensity of lawsuits of Power sector utility customers. The effects of customer profile, motives of complaints, and the history of administrative actions, on the propensity to lawsuits, were investigated. The paradigm of disconfirmation of expectations was used as a theoretical framework for this study. We adopted a substantive approach to the development and testing of the predictive model. The technique of Classification Tree was chosen to operationalize the model. The method specified in this study for the creation of the decision tree was the CHAID (Chi Square Interaction Detector). Data analysis shows that the propensity to the proposition of a lawsuit does not solely depend on the nature of the problem faced by the client, but the profile and trajectory relationship with the utility provider. The results of this study offer empirical support to the theoretical paradigm of disconfirmation of expectations, more specifically, with regard to the Satisfaction Theory, Attribution Theory and the Theory of Justice and Equity. The main managerial contribution of the study lies in propose a predictive model that allows utility providers to assign each customer a probability to propose a lawsuit, which enables the proactive adoption of practices by the managers, aiming to better serve the public.O estudo objetivou a proposio e teste de um modelo predititivo da propenso de clientes de concessionrias do setor de energia eltrica proposio de aes judiciais. Investigaram-se os efeitos: do perfil do cliente; dos motivos crticos de reclamao; e do histrico de aes administrativas, na propenso proposio de aes judiciais. O corpo terico do paradigma da desconfirmao de expectativas foi utilizado como referencial terico do estudo. Adotou-se uma abordagem exploratria para o desenvolvimento e teste do modelo predititivo. A tcnica de rvore de Classificao foi escolhida para operacionalizar o modelo. O mtodo especificado neste estudo para a criao da rvore de deciso foi o CHAID (Chi Square Interaction Detector). A anlise dos dados permite concluir que a propenso proposio de uma ao judicial no depende exclusivamente da natureza do problema enfrentado pelo cliente, mas do seu perfil e da sua trajetria de relacionamento com a concessionria. Os resultados do presente estudo adicionam suporte emprico ao corpo terico do paradigma da desconfirmao de expectativas, mais especificamente, no que diz respeito Teoria da Satisfao, Teoria da Atribuio e Teoria da Justia e Equidade. A principal contribuio gerencial do estudo reside na proposio de um modelo preditivo que permite atribuir a cada cliente uma probabilidade de proposio de ao judicial, o que possibilita a adoo de prticas antecipatrias por parte da concessionria, objetivando melhor servir ao pblico.Universidade Nove de Julho - Uninove2014-11-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado por ParesPeer-reviewed Articleapplication/pdfhttps://periodicos.uninove.br/remark/article/view/1205210.5585/remark.v13i5.2583ReMark - Revista Brasileira de Marketing; v. 13, n. 5 (2014): Julho - Setembro; 01-182177-5184reponame:REMark - Revista Brasileira de Marketinginstname:Universidade Nove de Julho (UNINOVE)instacron:RBMporhttps://periodicos.uninove.br/remark/article/view/12052/5695Direitos autorais 2019 Revista Brasileira de Marketing – Remarkinfo:eu-repo/semantics/openAccessAlmeida, Victor Manoel Cunha deFigueiredo, Otávio Henrique dos SantosSilva, Gilberto Figueira da2019-02-19T17:43:04Zoai:https://periodicos.uninove.br:article/12052Revistahttps://periodicos.uninove.br/remarkPRIhttps://periodicos.uninove.br/remark/oaiclaudiaraac@uol.com.br || admin@revistabrasileiramarketing.org || admin@revistabrasileiramarketing.org2177-51842177-5184opendoar:2019-02-19T17:43:04REMark - Revista Brasileira de Marketing - Universidade Nove de Julho (UNINOVE)false
dc.title.none.fl_str_mv Propensity Customer the Proposition of Lawsuits: Development and test of Predictive Model for the Electricity Sector
Propensão do Cliente à Proposição de Ações Judiciais: Proposição e Teste de Modelo Preditivo para o Setor de Energia Elétrica
title Propensity Customer the Proposition of Lawsuits: Development and test of Predictive Model for the Electricity Sector
spellingShingle Propensity Customer the Proposition of Lawsuits: Development and test of Predictive Model for the Electricity Sector
Almeida, Victor Manoel Cunha de
Consumer Behavior; Dissatisfaction; Lawsuits; Classification Tree; Predictive Model.
Comportamento do consumidor; Insatisfação; Ações judiciais; Árvore de classificação; Modelo preditivo.
title_short Propensity Customer the Proposition of Lawsuits: Development and test of Predictive Model for the Electricity Sector
title_full Propensity Customer the Proposition of Lawsuits: Development and test of Predictive Model for the Electricity Sector
title_fullStr Propensity Customer the Proposition of Lawsuits: Development and test of Predictive Model for the Electricity Sector
title_full_unstemmed Propensity Customer the Proposition of Lawsuits: Development and test of Predictive Model for the Electricity Sector
title_sort Propensity Customer the Proposition of Lawsuits: Development and test of Predictive Model for the Electricity Sector
author Almeida, Victor Manoel Cunha de
author_facet Almeida, Victor Manoel Cunha de
Figueiredo, Otávio Henrique dos Santos
Silva, Gilberto Figueira da
author_role author
author2 Figueiredo, Otávio Henrique dos Santos
Silva, Gilberto Figueira da
author2_role author
author
dc.contributor.author.fl_str_mv Almeida, Victor Manoel Cunha de
Figueiredo, Otávio Henrique dos Santos
Silva, Gilberto Figueira da
dc.subject.por.fl_str_mv Consumer Behavior; Dissatisfaction; Lawsuits; Classification Tree; Predictive Model.
Comportamento do consumidor; Insatisfação; Ações judiciais; Árvore de classificação; Modelo preditivo.
topic Consumer Behavior; Dissatisfaction; Lawsuits; Classification Tree; Predictive Model.
Comportamento do consumidor; Insatisfação; Ações judiciais; Árvore de classificação; Modelo preditivo.
description The study aimed to propose and test a model to predict the propensity of lawsuits of Power sector utility customers. The effects of customer profile, motives of complaints, and the history of administrative actions, on the propensity to lawsuits, were investigated. The paradigm of disconfirmation of expectations was used as a theoretical framework for this study. We adopted a substantive approach to the development and testing of the predictive model. The technique of Classification Tree was chosen to operationalize the model. The method specified in this study for the creation of the decision tree was the CHAID (Chi Square Interaction Detector). Data analysis shows that the propensity to the proposition of a lawsuit does not solely depend on the nature of the problem faced by the client, but the profile and trajectory relationship with the utility provider. The results of this study offer empirical support to the theoretical paradigm of disconfirmation of expectations, more specifically, with regard to the Satisfaction Theory, Attribution Theory and the Theory of Justice and Equity. The main managerial contribution of the study lies in propose a predictive model that allows utility providers to assign each customer a probability to propose a lawsuit, which enables the proactive adoption of practices by the managers, aiming to better serve the public.
publishDate 2014
dc.date.none.fl_str_mv 2014-11-06
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Avaliado por Pares
Peer-reviewed Article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.uninove.br/remark/article/view/12052
10.5585/remark.v13i5.2583
url https://periodicos.uninove.br/remark/article/view/12052
identifier_str_mv 10.5585/remark.v13i5.2583
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.uninove.br/remark/article/view/12052/5695
dc.rights.driver.fl_str_mv Direitos autorais 2019 Revista Brasileira de Marketing – Remark
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Direitos autorais 2019 Revista Brasileira de Marketing – Remark
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Nove de Julho - Uninove
publisher.none.fl_str_mv Universidade Nove de Julho - Uninove
dc.source.none.fl_str_mv ReMark - Revista Brasileira de Marketing; v. 13, n. 5 (2014): Julho - Setembro; 01-18
2177-5184
reponame:REMark - Revista Brasileira de Marketing
instname:Universidade Nove de Julho (UNINOVE)
instacron:RBM
instname_str Universidade Nove de Julho (UNINOVE)
instacron_str RBM
institution RBM
reponame_str REMark - Revista Brasileira de Marketing
collection REMark - Revista Brasileira de Marketing
repository.name.fl_str_mv REMark - Revista Brasileira de Marketing - Universidade Nove de Julho (UNINOVE)
repository.mail.fl_str_mv claudiaraac@uol.com.br || admin@revistabrasileiramarketing.org || admin@revistabrasileiramarketing.org
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