Propensity Customer the Proposition of Lawsuits: Development and test of Predictive Model for the Electricity Sector
Autor(a) principal: | |
---|---|
Data de Publicação: | 2014 |
Outros Autores: | , |
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. |
id |
RBM-1_8e6bbe41491768d5283562cca0bd7364 |
---|---|
oai_identifier_str |
oai:https://periodicos.uninove.br:article/12052 |
network_acronym_str |
RBM-1 |
network_name_str |
REMark - Revista Brasileira de Marketing |
repository_id_str |
|
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 |
_version_ |
1799138642023677952 |