Exploring Project Complexity through Project Failure Factors: Analysis of Cluster Patterns Using Self-Organizing Maps

Table 7

Summary of results.

RANK	CODE	FAILURE CAUSE	FREQUENCY INDEX
1	C3	Customer’s requirements inaccurate, incomplete or not defined	0,5992
2	C2	Continuous or dramatic changes to initial requirements	0,5665
3	C6	Inaccurate time estimations	0,5329
4	C16	Project requirements inadequately documented	0,5092
5	C10	Not or badly defined specifications at the time the Project Team starts to work	0,4859
6	C5	Inaccurate costs estimations	0,4826
7	C8	Lack of Management support	0,4605
8	C25	Unrealistic Customer’s expectations	0,4507
9	C4	Disagreements or conflicts of interest among different departments involved	0,4478
10	C19	Project Team’s misunderstandings related to Customer/User’s wishes or needs	0,4417
11	C17	Project staff changes	0,4306
12	C22	Quality checks not or badly performed	0,4270
13	C26	Wrong number of people assigned to the project (too many, too few)	0,4135
14	C13	Project Manager’s lack of communication skills	0,4114
15	C7	Inadequate management of suppliers and procurement	0,3828
16	C18	Project Team’s lack of competence	0,3815
17	C15	Project Manager’s lack of vision	0,3746
18	C14	Project Manager’s lack of competence	0,3742
19	C23	Too much complex or new technology	0,3574
20	C20	Project Team’s lack of commitment	0,3537
21	C24	Unexpected events with no effective response possible	0,3292
22	C9	Lack of previous identification of relevant rules and legislation	0,3194
23	C12	Project Manager’s lack of commitment	0,3009
24	C11	Political, social, economic or legal changes	0,2662
25	C21	Public opinion opposition to project	0,2428
26	C1	Competitors	0,2261