{"title":"A Model for Evaluating Mobile Device Adoption in Community Sports Organizations","authors":"C. Sellitto, S. Bingley, Stephen Burgess","doi":"10.1177/0270467617726221","DOIUrl":null,"url":null,"abstract":"Few studies have been conducted into the use of mobile technologies at community-based organizations. Community sport organizations (CSOs) typically operate within a defined geographic area and rely on the primary support of volunteers. Based on the characteristics of mobile-based information services, this article proposes a model that provides a guide for CSOs to classify mobile applications through four mobile utility factors and three innovation adoption determinants (cost, skill requirements, and compatibility). The model is supported visually by the use of Microsoft Excel generated “radar graphs” to illustrate desired practical and actual performance. The contribution of the theoretical model is one of providing a vehicle for evaluating mobile technology applications by CSOs to identify the potential effectiveness of mobile devices, particularly in a preadoption scenario.","PeriodicalId":38848,"journal":{"name":"Bulletin of Science, Technology and Society","volume":"36 1","pages":"211 - 218"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0270467617726221","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bulletin of Science, Technology and Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/0270467617726221","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Arts and Humanities","Score":null,"Total":0}
引用次数: 9
Abstract
Few studies have been conducted into the use of mobile technologies at community-based organizations. Community sport organizations (CSOs) typically operate within a defined geographic area and rely on the primary support of volunteers. Based on the characteristics of mobile-based information services, this article proposes a model that provides a guide for CSOs to classify mobile applications through four mobile utility factors and three innovation adoption determinants (cost, skill requirements, and compatibility). The model is supported visually by the use of Microsoft Excel generated “radar graphs” to illustrate desired practical and actual performance. The contribution of the theoretical model is one of providing a vehicle for evaluating mobile technology applications by CSOs to identify the potential effectiveness of mobile devices, particularly in a preadoption scenario.