{"title":"拓展技术接受模式,提高高校教师对新技术的使用,减少对新技术的抗拒","authors":"Daniel Siegel, Parul Acharya, S. Sivo","doi":"10.21061/JOTS.V43I2.A.1","DOIUrl":null,"url":null,"abstract":"The study analyzed why some university faculty resisted a new software program using a new model of motivation. The new model, called the Motivation Acceptance Model (MAM), was inspired by the technology acceptance model and the Commitment and Necessary Effort (CANE) model of motivation. This model was tested on faculty at a university who were resisting a new software program called Live-Text. Regression analysis was utilized to determine the relationship between variables of the MAM. The study demonstrates that the MAM accurately measured the relationship between professors’ perceptions and their use of Live-Text. The research also suggests that perceived utility of Live-Text and users’ attitudes toward LiveText were statistically significant predictors of Live-Text use and that perceived ease of use also predicted whether the professors found Live-Text useful.","PeriodicalId":142452,"journal":{"name":"The Journal of Technology Studies","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"Extending the Technology Acceptance Model to Improve Usage & Decrease Resistance toward a New Technology by Faculty in Higher Education\",\"authors\":\"Daniel Siegel, Parul Acharya, S. Sivo\",\"doi\":\"10.21061/JOTS.V43I2.A.1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The study analyzed why some university faculty resisted a new software program using a new model of motivation. The new model, called the Motivation Acceptance Model (MAM), was inspired by the technology acceptance model and the Commitment and Necessary Effort (CANE) model of motivation. This model was tested on faculty at a university who were resisting a new software program called Live-Text. Regression analysis was utilized to determine the relationship between variables of the MAM. The study demonstrates that the MAM accurately measured the relationship between professors’ perceptions and their use of Live-Text. The research also suggests that perceived utility of Live-Text and users’ attitudes toward LiveText were statistically significant predictors of Live-Text use and that perceived ease of use also predicted whether the professors found Live-Text useful.\",\"PeriodicalId\":142452,\"journal\":{\"name\":\"The Journal of Technology Studies\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Journal of Technology Studies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21061/JOTS.V43I2.A.1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Technology Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21061/JOTS.V43I2.A.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Extending the Technology Acceptance Model to Improve Usage & Decrease Resistance toward a New Technology by Faculty in Higher Education
The study analyzed why some university faculty resisted a new software program using a new model of motivation. The new model, called the Motivation Acceptance Model (MAM), was inspired by the technology acceptance model and the Commitment and Necessary Effort (CANE) model of motivation. This model was tested on faculty at a university who were resisting a new software program called Live-Text. Regression analysis was utilized to determine the relationship between variables of the MAM. The study demonstrates that the MAM accurately measured the relationship between professors’ perceptions and their use of Live-Text. The research also suggests that perceived utility of Live-Text and users’ attitudes toward LiveText were statistically significant predictors of Live-Text use and that perceived ease of use also predicted whether the professors found Live-Text useful.