{"title":"物流客户服务和客户满意度:基于重要性的汽车承运商细分","authors":"Michael S. Garver, Zachary Williams","doi":"10.1002/tjo3.12028","DOIUrl":null,"url":null,"abstract":"The current research presents a middle‐range theorization of logistics customer service attributes predicting overall customer satisfaction for motor carriers. Latent class regression (LCR) analysis was employed to identify importance‐based segments by examining the relationships between logistics customer service attributes and overall satisfaction as measured by the American Customer Satisfaction Index. LCR analysis identified three importance‐based segments, including a segment focused on basic logistics services, a segment focused on sustainability, and a segment focused on security. Correlated components regression analysis was employed to refine the models of each segment to better understand what logistic customer service attributes were most important to each segment. Following an abductive reasoning process, these research results are compared with the theory of strategic purity.","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":"38 8","pages":""},"PeriodicalIF":16.4000,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Logistics customer service and customer satisfaction: Importance‐based segments for motor carriers\",\"authors\":\"Michael S. Garver, Zachary Williams\",\"doi\":\"10.1002/tjo3.12028\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The current research presents a middle‐range theorization of logistics customer service attributes predicting overall customer satisfaction for motor carriers. Latent class regression (LCR) analysis was employed to identify importance‐based segments by examining the relationships between logistics customer service attributes and overall satisfaction as measured by the American Customer Satisfaction Index. LCR analysis identified three importance‐based segments, including a segment focused on basic logistics services, a segment focused on sustainability, and a segment focused on security. Correlated components regression analysis was employed to refine the models of each segment to better understand what logistic customer service attributes were most important to each segment. Following an abductive reasoning process, these research results are compared with the theory of strategic purity.\",\"PeriodicalId\":1,\"journal\":{\"name\":\"Accounts of Chemical Research\",\"volume\":\"38 8\",\"pages\":\"\"},\"PeriodicalIF\":16.4000,\"publicationDate\":\"2024-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Accounts of Chemical Research\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1002/tjo3.12028\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1002/tjo3.12028","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Logistics customer service and customer satisfaction: Importance‐based segments for motor carriers
The current research presents a middle‐range theorization of logistics customer service attributes predicting overall customer satisfaction for motor carriers. Latent class regression (LCR) analysis was employed to identify importance‐based segments by examining the relationships between logistics customer service attributes and overall satisfaction as measured by the American Customer Satisfaction Index. LCR analysis identified three importance‐based segments, including a segment focused on basic logistics services, a segment focused on sustainability, and a segment focused on security. Correlated components regression analysis was employed to refine the models of each segment to better understand what logistic customer service attributes were most important to each segment. Following an abductive reasoning process, these research results are compared with the theory of strategic purity.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.