Skip to main content

Table 2 Relevance (“This issue is relevant in the field of information systems research”)

From: In Search of Information Systems (Grand) Challenges

Rank Challenges for IS research Mean value Standard deviation
1 C16 – leveraging knowledge from data, with the related management of high data volumes 4.49 0.758
2 C15 – integrating human and machine problem solving 4.44 0.698
3 C04 – rethink the theoretical foundations of the IS discipline 4.31 0.897
4 C02 – adapting IS teaching to current IS research developments 4.25 0.821
5 C06 – mastering the methodological breadth/richness. 4.16 0.946
6 C12 – aligning organizational objectives with IT by developing and establishing efficient communication means 4.08 0.860
7 C21 – embedding systems in real–life environments 4.04 0.692
8 C03 – proving relevance of IS research 3.98 1.049
9 C08 – providing ubiquitous access to IS services 3.94 1.008
10 C19 – supporting effective collaboration and learning through evolving media repertoires 3.94 0.826
11 C01 – identifying IS as an academic discipline 3.92 1.064
12 C17 – developing effective IS for emergency management 3.84 0.834
13 C05 – streamlining and providing equal quality standards for different strands of IS research 3.80 1.149
14 C09 – integrating information systems in one single virtual space 3.74 0.964
15 C18 – utilizing energy informatics 3.71 0.997
16 C07 – increasing theoretical/methodological sophistication 3.65 1.146
17 C10 – making different IT generations work together 3.65 1.016
18 C14 – leveraging the “fun” in information systems applications 3.63 1.131
19 C13 – developing model–driven methods and tools for the full–scale automated generation of implementation–ready IS 3.53 1.206
20 C20 – raising collective consciousness 3.51 1.084
21 C11 – developing universal methods for the translation between different coding systems 3.44 0.998
  1. Scale: 1 = strongly disagree; 2 = disagree; 3 = undecided; 4 = agree; 5 = strongly agree