Research design and methodology

Factor analysis

According to Pallant, factor analysis reduces a large set of variables to a smaller use of factors or components by identifying the inter-correlations in the set of variables. Factor analysis was used to determine if there were underlying factors or themes in the data. Six factors were extracted by means of regression.

Factors are similar to 'themes' in qualitative data analysis. In factor analysis, all correlations between all the different items (1–25) are calculated and those that are highly correlated with each other are clustered together in a factor.

Six factors were extracted by means of regression and they related to the theoretical framework. These factors have been used for the thematic analysis as well.

The six factors identified via regression were:

  • F1: Management support
  • F2: User interface
  • F2: System quality
  • F4: Iterative development approach
  • F5: Job relevance
  • F6: User training.

Table 2 lists the questions for each identified factor and the associated themes and sub-themes.

Factor

Q.No.

Questions

Theme and Sub-theme

Fl: Management support

Q19

Management actively promotes and supports SAP Bl.

Social influence Image

Q18

Information culture is promoted within your directorate.

Organisational factors Information culture

Q17

The organisation promotes information readiness.

Organisational factors Organisational culture

Q07

Management promotes the usage of SAP Bl.

Organisational factors Management support

F2: User interface

Q15

The SAP Bl e-learning training is easy to find on the portal.

Organisational factors User training

Q04

Obtaining SAP Bl access is straightforward.

System quality characteristics Accessibility

Q05

It is easy to navigate, search and retrieve information in the SAP Bl tool.

System quality characteristics User interface

Q16

The SAP Bl e-learning training is effective.

Organisational factors User training

Q14

The SAP Bl dashboards and reports are easy to understand.

Organisational factors User training

F3: System quality

Q06

SAP Bl will improve service delivery.

Organisational factors Focus on the customer

Q01

You are comfortable in experimenting with new technology.

Individual characteristics Readiness for change

Q02

SAP Bl information quality is trustworthy.

System quality characteristics System quality

Q20

SAP Bl benefits the public sector.

Macro-environment factors Business sector

Q03

The performance is good when executing SAP Bl reports and dashboards.

System quality characteristics System quality

Q25

Analytics usage will improve if placed on an individual's performance management scorecard.

Other

F4: Iterative development approach

Qll

Your business requirements were adequately met in the newly developed report.

Organisational factors Iterative development approach

Q10

The turnaround times for the SAP Bl developments were satisfactory.

Organisational factors Iterative development approach

Q24

The technical support for SAP Bl issues is good.

Facilitating conditions

F5: Job relevance

Q23

You are required to use SAP Bl reporting as evidence for day-to-day business reporting activities.

Social influence Visibility

Q22

You require the following reporting information to enable management decisions in HR, finance and KPI-related information.

Behavioural belief and attitudes Job relevance

Q09

You have requested a SAP Bl (report or dashboard) to be developed for your specific business needs.

Organisational factors Iterative development approach

Q21

SAP Bl provides your team with a competitive advantage.

Macro-environment factors Competitiveness of the environment

F6: User training

Q13

The SAP Bl classroom-based training was effective.

Organisational factors User training

 

Q12

You have received SAP Bl classroom-based training.

Organisational factors User training

 

Q08

The SAP Bl implementation team considered your input when rolling-out

SAP Bl in 2006.

Organisational factors  User participation in implementation

KPI. kev oerformance indicators: SAP Bl. SAP business intelligence: F. factor: Q.No., Question number: Q., Question.


TABLE 2: Themes and sub-themes breakdown per factor.