Irma Alicia Huerta-Chávez, EsperanzA González-Quezada, Jazmín del Rocío Soltero-Sánchez, E. Figueroa-Ochoa
{"title":"用SERVPERF模型评估粮食援助服务的质量","authors":"Irma Alicia Huerta-Chávez, EsperanzA González-Quezada, Jazmín del Rocío Soltero-Sánchez, E. Figueroa-Ochoa","doi":"10.35429/ejrc.2022.14.8.1.14","DOIUrl":null,"url":null,"abstract":"Assessing service quality based on user satisfaction is an unavoidable task. That implies not only knowing the perception of users, but also generating new knowledge. That is why the main objective of this research was to evaluate the quality of the food assistance service through the SERVPERF model of Cronin and Taylor (1992) adapted to the public social assistance sector. As well as identifying the dimensions most valued by the user, corroborating the validity of the model in the sector studied. This research was developed under a quantitative, cross-sectional, descriptive and non-experimental approach (Hernández, et al., 2014; and Bernal, 2016). The sampling was non-probabilistic for convenience with 154 participants, whose ratio was 7 questionnaires in relation to the 22 items of the measurement instrument, fulfilling the criteria of Hair et al. (1999). With this investigation, the SERVPERF instrument was validated for the public sector, with acceptable levels of Cronbach's Alpha greater than 0.700 according to Nunnally (1978) and through descriptive statistics, the normality of the data was identified, in addition to verifying the correlation between elements and by each variable studied.","PeriodicalId":325758,"journal":{"name":"ECORFAN Journal Republic of Cameroon","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessment of the quality of the food assistance service with the SERVPERF model\",\"authors\":\"Irma Alicia Huerta-Chávez, EsperanzA González-Quezada, Jazmín del Rocío Soltero-Sánchez, E. Figueroa-Ochoa\",\"doi\":\"10.35429/ejrc.2022.14.8.1.14\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Assessing service quality based on user satisfaction is an unavoidable task. That implies not only knowing the perception of users, but also generating new knowledge. That is why the main objective of this research was to evaluate the quality of the food assistance service through the SERVPERF model of Cronin and Taylor (1992) adapted to the public social assistance sector. As well as identifying the dimensions most valued by the user, corroborating the validity of the model in the sector studied. This research was developed under a quantitative, cross-sectional, descriptive and non-experimental approach (Hernández, et al., 2014; and Bernal, 2016). The sampling was non-probabilistic for convenience with 154 participants, whose ratio was 7 questionnaires in relation to the 22 items of the measurement instrument, fulfilling the criteria of Hair et al. (1999). With this investigation, the SERVPERF instrument was validated for the public sector, with acceptable levels of Cronbach's Alpha greater than 0.700 according to Nunnally (1978) and through descriptive statistics, the normality of the data was identified, in addition to verifying the correlation between elements and by each variable studied.\",\"PeriodicalId\":325758,\"journal\":{\"name\":\"ECORFAN Journal Republic of Cameroon\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ECORFAN Journal Republic of Cameroon\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.35429/ejrc.2022.14.8.1.14\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ECORFAN Journal Republic of Cameroon","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35429/ejrc.2022.14.8.1.14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
基于用户满意度评估服务质量是一项不可避免的任务。这意味着不仅要了解用户的感知,还要产生新的知识。这就是为什么本研究的主要目的是通过克罗宁和泰勒(1992)的SERVPERF模型来评估食品援助服务的质量,该模型适用于公共社会援助部门。以及确定最受用户重视的维度,证实该模型在所研究部门的有效性。本研究采用定量、横断面、描述性和非实验方法(Hernández, et al., 2014;and Bernal, 2016)。为方便起见,154名被试采用非概率抽样,被试的比例为7份问卷对应于测量工具的22个项目,符合Hair et al.(1999)的标准。通过这项调查,SERVPERF工具在公共部门得到了验证,根据Nunnally (1978), Cronbach's Alpha的可接受水平大于0.700,通过描述性统计,除了验证各要素之间的相关性外,还确定了数据的正态性。
Assessment of the quality of the food assistance service with the SERVPERF model
Assessing service quality based on user satisfaction is an unavoidable task. That implies not only knowing the perception of users, but also generating new knowledge. That is why the main objective of this research was to evaluate the quality of the food assistance service through the SERVPERF model of Cronin and Taylor (1992) adapted to the public social assistance sector. As well as identifying the dimensions most valued by the user, corroborating the validity of the model in the sector studied. This research was developed under a quantitative, cross-sectional, descriptive and non-experimental approach (Hernández, et al., 2014; and Bernal, 2016). The sampling was non-probabilistic for convenience with 154 participants, whose ratio was 7 questionnaires in relation to the 22 items of the measurement instrument, fulfilling the criteria of Hair et al. (1999). With this investigation, the SERVPERF instrument was validated for the public sector, with acceptable levels of Cronbach's Alpha greater than 0.700 according to Nunnally (1978) and through descriptive statistics, the normality of the data was identified, in addition to verifying the correlation between elements and by each variable studied.