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Table 4 Time frame (“This issue can be dealt with/solved in 10 years from now on”)

From: In Search of Information Systems (Grand) Challenges

Rank Challenges of IS research Mean value Standard deviation
1 C20 – raising collective consciousness 4.43 1.253
2 C11 – developing universal methods for the translation between different coding systems 4.42 1.109
3 C15 – integrating human and machine problem solving 3.98 0.852
4 C01 – identifying IS as an academic discipline 3.92 1.218
5 C13 – developing model–driven methods and tools for the full–scale automated generation of implementation–ready IS 3.92 1.163
6 C18 – utilizing energy informatics 3.83 1.133
7 C09 – integrating information systems in one single virtual space 3.79 1.026
8 C05 – streamlining and providing equal quality standards for different strands of IS research 3.76 1.595
9 C07 – increasing theoretical/methodological sophistication 3.75 1.055
10 C12 – aligning organizational objectives with IT by developing and establishing efficient communication means 3.73 1.050
11 C16 – leveraging knowledge from data, with the related management of high data volumes 3.73 0.850
12 C10 – making different IT generations work together 3.73 1.201
13 C04 – rethink the theoretical foundations of the IS discipline 3.69 1.058
14 C14 – leveraging the “fun” in information systems applications 3.57 1.432
15 C06 – mastering the methodological breadth/richness 3.55 1.101
16 C21 – embedding systems in real–life environments 3.45 1.045
17 C08 – providing ubiquitous access to IS services 3.40 1.166
18 C03 – proving relevance of IS research 3.35 1.110
19 C17 – developing effective IS for emergency management 3.29 0.855
20 C19 – supporting effective collaboration and learning through evolving media repertoires 3.13 1.010
21 C02 – adapting IS teaching to current IS research developments 3.04 1.148
  1. Scale 1: = It will take significantly shorter; 2 = It will take shorter; 3 = The time frame fits; 4 = It will take longer; 5 = It will take significantly longer