{"title":"Profit through Knowledge: The Application of Academic Research to Information Technology Organizations","authors":"C. Kavan","doi":"10.4018/IRMJ.1998010102","DOIUrl":null,"url":null,"abstract":"This paper examines the application of academic research to information technology IT organizations by examining the roles and behaviors of academic researchers and IT practitioners to determine areas of mutual opportunity. A practitioner Information-Gathering Model is developed to explore the manner in which IT professionals remain current on technological advances. This model subsequently is utilized to formulate specific recommendations to improve knowledge transfer.","PeriodicalId":44735,"journal":{"name":"Information Resources Management Journal","volume":"11 1","pages":"17-22"},"PeriodicalIF":1.1000,"publicationDate":"1998-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Resources Management Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/IRMJ.1998010102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 24
Abstract
This paper examines the application of academic research to information technology IT organizations by examining the roles and behaviors of academic researchers and IT practitioners to determine areas of mutual opportunity. A practitioner Information-Gathering Model is developed to explore the manner in which IT professionals remain current on technological advances. This model subsequently is utilized to formulate specific recommendations to improve knowledge transfer.
期刊介绍:
Topics should be drawn from, but not limited to, the following areas, with major emphasis on the managerial and organizational aspects of information resource and technology management: •Application of IT to operation •Artificial intelligence and expert systems technologies and issues •Business process management and modeling •Data warehousing and mining •Database management technologies and issues •Decision support and group decision support systems •Distance learning technologies and issues •Distributed software development •E-collaboration •Electronic commerce technologies and issues •Electronic government •Emerging technologies management