An Interdisciplinary Opportunity for Information Systems Research

被引:27
|
作者
Schermann, Michael [1 ]
Krcmar, Helmut [1 ]
Hemsen, Holmer [2 ]
Markl, Volker [2 ]
Buchmueller, Christoph [3 ]
Bitter, Till [3 ]
Hoeren, Thomas [3 ]
机构
[1] Tech Univ Munich, Chair Informat Syst I17, D-85748 Garching, Germany
[2] Tech Univ Berlin, Database Syst & Informat Management Grp DIMA, D-10587 Berlin, Germany
[3] Univ Munster, Inst Informat Telekommunikat & Medienrech, D-48149 Munster, Germany
关键词
Big data; Business information systems; Systems engineering; Big data hubris; Disruptive technology; Information management; BIG DATA; BUSINESS;
D O I
10.1007/s12599-014-0345-1
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
"Big data" describes technologies that promise to fulfill a fundamental tenet of research in information systems, which is to provide the right information to the right receiver in the right volume and quality at the right time. For information systems research as an application-oriented research discipline, opportunities, and risks arise from using big data. Risks arise primarily from the considerable number of resources used for the explanation and design of fads. Opportunities arise because these resources lead to substantial knowledge gains, which support scientific progress within the discipline and are of relevance to practice as well. From the authors' perspective, information systems research is ideally positioned to support big data critically and use the knowledge gained to explain and design innovative information systems in business and administration - regardless of whether big data is in reality a disruptive technology or a cursory fad. The continuing development and adoption of big data will ultimately provide clarity on whether big data is a fad or if it represents substantial progress in information systems research. Three theses also show how future technological developments can be used to advance the discipline of information systems. Technological progress should be used for a cumulative supplement of existing models, tools, and methods. By contrast, scientific revolutions are independent of technological progress.
引用
收藏
页码:261 / 266
页数:6
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