TY - JOUR
T1 - An interdisciplinary opportunity for information systems research
AU - Schermann, Michael
AU - Hemsen, Holmer
AU - Buchmüller, Christoph
AU - Bitter, Till
AU - Krcmar, Helmut
AU - Markl, Volker
AU - Hoeren, Thomas
N1 - Publisher Copyright:
© Springer Fachmedien 2014.
PY - 2014/10
Y1 - 2014/10
N2 - "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.
AB - "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.
KW - Big data
KW - Big data hubris
KW - Business information systems
KW - Disruptive technology
KW - Information management
KW - Systems engineering
UR - http://www.scopus.com/inward/record.url?scp=84920288909&partnerID=8YFLogxK
U2 - 10.1007/s12599-014-0345-1
DO - 10.1007/s12599-014-0345-1
M3 - Article
AN - SCOPUS:84920288909
SN - 2363-7005
VL - 6
SP - 261
EP - 266
JO - Business and Information Systems Engineering
JF - Business and Information Systems Engineering
IS - 5
ER -