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9. Survey
Method
Purposive sample of itSMF Australia members
2085 surveyed, 263 responses, 214 usable
Key Quantitatives
BSC mostly in use, close to half do not know PMF in use
Significant correlation between metrics and PMF use
Process benefits related to organsiation level benefits
Key Qualitatives
Process metrics focused on outcomes, stage, types, conduct
Typical quantity and quality measures in use
Measuring practice and challenges
11. Case study method: 6 case studies, 2 hour structured
interviews, content analysis and cross case analysis
P
u
b
l
i
c
Client Services Director
• Admin - IT managed
service provider
• 200 to 999 staff
$
P
r
i
v
a
t
e
Service Plan Director,
Performance Manager
• Health & community
services
• > 10,000 Staff
$5 to $9 Million
ITSM 4 years
A
$
• IT managed service
provider
• > 10,000 staff
> $150 Million
ITSM 7 years
ITSM 8 years
•Education
•5,000 to 9,999 staff
B
$
Services Manager,
Reporting Analyst,
Project Office Manager,
Operations Manager
QA & Certification
Manager
$
> $150 Million
Biz Integration Manager,
Service Level Manager,
Service Manager,
IT Serv. Office Director,
C
> $150 Million
ITSM 3 years
E
ITSM 4 years
D
Service Desk Manager
•Health & community
services
•2,000 to 4,999 staff
•Not for Profit
•200 to 999 staff
$
> $150 Million
$
> $150 Million
ITSM 1 year
F
12. Factors Influencing the Selection of ITSM Metrics
Organisation culture
INT
ITSM manager
perspective INT
Legislation EXT
A
B
INT
Governance,
Strategy & goals
IS Function structure
ICT tools in use
F
E
Senior
management
philosophy INT
Industry sector
EXT
C
D
KEY:
INT – Internal
EXT - External
13. ITSM Performance Metrics Selection Model
ITSM Performance
DIMENSIONS & Sample
Metrics
SERVICE
External Contingency Factors
•
•
•
•
Legislation (5)
Industry sector (5)
ITSM resources (4)
External customers (3)
• Customer satisfaction of end-to-end
service
• Response time
• Transaction time
Internal Contingency Factors
Parent Organisation
FUNCTION
• Actual spend against budget
• Number of complaints and compliments
PROCESS
•
•
•
•
Number of incidents
Number of successful changes
Incidents caused by changes
Operating level agreement breaches
TECHNOLOGY
• Network bandwidth usage
• Server power consumption
•
•
•
•
•
•
•
•
Selection of
ITSM
Performance
Metrics
Governance framework (6)
Corporate strategy & goals (6)
Organisation culture (5)
Senior management philosophy (5)
Internal customers (4)
Corporate performance framework (3)
Senior management needs (3)
CIO influence (3)
IS Organisation
•
•
•
•
•
•
•
IS function structure (6)
ITSM & ICT tools in use (6)
IS manager perspective (5)
IS function size (4)
IS goals (3)
IS function maturity (3)
IT operations staff influence (3)
Based on
Saunders and
Jones (1992)
and Myers et
al. (1997).
19. THANK YOU
Links to publications available at:
http://works.bepress.com/francis_gacenga/
http://
eprints.usq.edu.au/view/people/Gacenga=3AFrancis=3A=3A.html
20. Case Study: Factors Influencing the Selection of ITSM Metrics
INT
Governance,
Strategy & goals
IS Function structure
ICT tools in use
ABC
DEF
21. Case Study: Factors Influencing the Selection of ITSM Metrics
Organisation culture
INT
ITSM manager
perspective INT
Legislation EXT
AB
DEF
22. Case Study: Factors Influencing the Selection of ITSM Metrics
AC
DEF
Senior
management
philosophy INT
Industry sector
EXT
Editor's Notes
Why measure the performance of ITSM – significant investment in IT and ITSM, problematic for theory and practice,
Understanding ITSM benefits, ITSM metrics in use, ITSM metrics derivation and factors influencing the selection of ITSM performance measurement will contribute to developing an ITSM performance measurement framework.
Why we conducted the study
How we conducted the study
What we learnt from the LR, Survey, Case Studies and Design
ITSM PMF from the study
The measurement of performance of IT service management (ITSM) is an ongoing challenge for academics and practitioners.
In an effort to achieve service oriented management of their Information Technology (IT) or Information Systems (IS) operations, organisations adopt ITSM frameworks such as IT infrastructure library (ITIL®).
Survey – 2085 ITSMFA members in 2009
Case Study – 2 hour interviews at 6 organisations
Content Analysis – 4 researchers, interview transcripts, survey responses, organisation documents
Cross-Case Analysis – used to aggregate case study findings
Design – IS DSR, MAPS – Analyse, Design, Build, Evaluate, Communicate
Literature review protocol specified the research question being addressed, methods used to perform the review, the search strategy, inclusion and exclusion criteria, information to be obtained from each primary study, and quality criteria by which to evaluate each primary study.
ITSM Performance measurement should be done to address the three broad economic areas of profitability, quality and productivity.
ITSM performance measurement should be balanced along the four BSC perspectives of financial, customer, internal business and innovation and learning.
ITSM performance measurement should be at the IT service constituents level of actors, tools, management, capabilities and environment.
Case study findings suggest that selection of ITSM performance metrics is influenced by a range of internal and external environment factors.
Case A and C the two MSPs both had external customers as an influencing factor.
There was variation in the range of influencing factors. Case E reported 16 environmental factors and Case D reported 6 external factors.
The selection of ITSM performance metrics is influenced by internal and external environment factors
New internal contingency factors such as ITSM and ICT tools and corporate performance measurement framework
Of the external factors identified in previous studies only industry sector and resources
Organisations using a corporate performance framework (ACD) had a clearly defined set of metrics
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Case study findings suggest that selection of ITSM performance metrics is influenced by a range of internal and external environment factors.
Case A and C the two MSPs both had external customers as an influencing factor.
There was variation in the range of influencing factors. Case E reported 16 environmental factors and Case D reported 6 external factors.
Case study findings suggest that selection of ITSM performance metrics is influenced by a range of internal and external environment factors.
Case A and C the two MSPs both had external customers as an influencing factor.
There was variation in the range of influencing factors. Case E reported 16 environmental factors and Case D reported 6 external factors.
Case study findings suggest that selection of ITSM performance metrics is influenced by a range of internal and external environment factors.
Case A and C the two MSPs both had external customers as an influencing factor.
There was variation in the range of influencing factors. Case E reported 16 environmental factors and Case D reported 6 external factors.