Noor Malinjasari Ali, Siti Fatimah Mardiah Hamzah, Raslina Mohamed Nor, Ruzaidah A. Rashid, Suzila Mat Salleh, Hasmida Mohd Noor, Rahayu Izwani Borhanuddin
{"title":"马来西亚铁路服务质量和客户满意度","authors":"Noor Malinjasari Ali, Siti Fatimah Mardiah Hamzah, Raslina Mohamed Nor, Ruzaidah A. Rashid, Suzila Mat Salleh, Hasmida Mohd Noor, Rahayu Izwani Borhanuddin","doi":"10.24191/ji.v17i2.18213","DOIUrl":null,"url":null,"abstract":"The purpose of the research is to analyze the relationship between rail service quality and customer satisfaction. A total of 356 sets of questionnaires were distributed via email to passengers of rail transport in Malaysia and a total of 258 questionnaires were usable for the analysis. Using Pearson correlation analysis and multiple regression analysis our research found that only four rail service quality dimensions namely reliability, responsiveness, convenience, and connection are significant in predicting customer satisfaction. For future research, it is suggested that researchers use a bigger sample size and qualitative analysis for in-depth analysis.","PeriodicalId":153855,"journal":{"name":"Jurnal Intelek","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Rail Service Quality and Customer Satisfaction in Malaysia\",\"authors\":\"Noor Malinjasari Ali, Siti Fatimah Mardiah Hamzah, Raslina Mohamed Nor, Ruzaidah A. Rashid, Suzila Mat Salleh, Hasmida Mohd Noor, Rahayu Izwani Borhanuddin\",\"doi\":\"10.24191/ji.v17i2.18213\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of the research is to analyze the relationship between rail service quality and customer satisfaction. A total of 356 sets of questionnaires were distributed via email to passengers of rail transport in Malaysia and a total of 258 questionnaires were usable for the analysis. Using Pearson correlation analysis and multiple regression analysis our research found that only four rail service quality dimensions namely reliability, responsiveness, convenience, and connection are significant in predicting customer satisfaction. For future research, it is suggested that researchers use a bigger sample size and qualitative analysis for in-depth analysis.\",\"PeriodicalId\":153855,\"journal\":{\"name\":\"Jurnal Intelek\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Jurnal Intelek\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24191/ji.v17i2.18213\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Intelek","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24191/ji.v17i2.18213","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Rail Service Quality and Customer Satisfaction in Malaysia
The purpose of the research is to analyze the relationship between rail service quality and customer satisfaction. A total of 356 sets of questionnaires were distributed via email to passengers of rail transport in Malaysia and a total of 258 questionnaires were usable for the analysis. Using Pearson correlation analysis and multiple regression analysis our research found that only four rail service quality dimensions namely reliability, responsiveness, convenience, and connection are significant in predicting customer satisfaction. For future research, it is suggested that researchers use a bigger sample size and qualitative analysis for in-depth analysis.