292395
/en/teknologi-og-innovasjon/statistikker/iktbruks/aar
292395
statistikk
2017-05-09T08:00:00.000Z
Technology and innovation;Public sector
en
iktbruks, ICT usage in central government, information and communication technology, electronic communication, electronic case handling, electronic services, electronic forms, Internet use, IT systems, IT strategy, security solutionsInformation and communication technology - ICT, General government , Technology and innovation, Public sector
true

ICT usage in central government

Updated

Next update

Not yet determined

Key figures

7 %

of central government activities have had staff reductions following ICT investments

The share that have reported large degree of change following ICT projects12
Per cent of the central governmentPer cent of the central government
20162017
1Large degree: the share that has reported "to quite a large degree" and "to a very large degree" are added up.
2ICT projects the last two years.
Increased quality on the services offered by the enterprise6366
Establish new services5553
Progress in the casework4547
More use of network-based solutions for self-service4846
Improved interaction with other enterprises4646
More resilient and reliable infrastructure6668
Better foundation for decissions3342
Reduction in costs of purchasing goods and services2629
Changes and simplifications in work routines5353
Reduction of manning57

See more tables on this subject

Table 1 
Planned changes from ICT investments, compared to actual changes after two years

Planned changes from ICT investments, compared to actual changes after two years
Percentage share that expect changesPercentage share that experience changes
20152017
Increased quality on the services offered by the enterprise9166
Establish new services7053
Progress in the casework8547
More use of network-based solutions for self-service7446
Improved interaction with other enterprises8046
More resilient and reliable infrastructure9068
Better foundation for decissions7942
Reduction in costs of purchasing goods and services6229
Changes and simplifications in work routines8853
Reduction of manning257
Other84

About the statistics

The statistics show use of ICT in the central government; e.g. ICT strategy, gains from ICT investments, digital services, cloud computing, social media, ICT recruitment, ICT security.

Definitions

Definitions of the main concepts and variables

Central government activities: some of the respondents reports on behalf of all units in a directorate. The directorate counts as one unit in the survey.

Employment group: The number of employees in a unit that reports on behalf of a directorate, includes the number of employees in all units in the directorate.

ICT strategy: an official plan in writing consisting goals and guidelines for the enterprise provision or use of ICT

Outsourcing: an agreement were one part is contracting out a business process

Cloud computing: the use of computing resources (hardware and software) that are delivered as a service over a network (typically the Internet).

Social media: employ web- and mobile-based technologies to support interactive dialogue

ICT expenditures (2011-2012): Include purchase of ICT equipment and lease of computer equipment, purchase and lease of software, and purchase of external services. Expenditures for the enterprises own ICT employees are not included.

Standard classifications

Standard Industrial Classification (SN2007)

Administrative information

Name and topic

Name: ICT usage in central government
Topic: Technology and innovation

Responsible division

Transport, tourism and ICT statistics

Regional level

National

Frequency and timeliness

The frequency is annual from 2012. The reference time is the first quarter from 2015. Before the year 2015, it was the second quarter.

International reporting

Not relevant

Microdata

 

Non-revised and revised micro data are stored in accordance with Statistics Norway's guidelines for storing computer files. 

Background

Background and purpose

The purpose of the survey is to measure the use of ICT in the central government. The survey started in 2004 and was published annually to 2008. The next survey was in 2012, and are published annually since then.

Users and applications

Authorities, central government activities, business associations and media

Equal treatment of users

No external users have access to the statistics and analyses before they are published and accessible simultaneously for all users on ssb.no at 8 am. Prior to this, a minimum of three months' advance notice is given in the Statistics Release Calendar. This is one of Statistics Norway’s key principles for ensuring that all users are treated equally.

Coherence with other statistics

ICT usage in households 

ICT usage in enterprises

Legal authority

The Statistics Act § 2-2

EEA reference

Not relevant

Production

Population

For the years 2004 to 2008 the population was defined as all the units in the central government within Statistics Norway’s Central Register of Establishments and Enterprises.

In 2012 the population is reduced to cover mostly the units with decision-making authority in the structure of the central government. Some units reports on behalf of sub units in a directorate. From 2013 units with less than 10 employees are not included in the population.

Data sources and sampling

The survey is based on data collected from questionnaires returned electronically via Altinn.

The sample consists all the enterprises defined in the population. In 2017 there were almost 220 reporting units in the survey.

Collection of data, editing and estimations

The survey is based on data collected from questionnaires returned electronically via Altinn. The questionnaire is available in February, and the units have about three weeks to return the questionnaire.

The data are checked for errors manually and in an IT system for editing. The respondents are contacted when needed.

The share of the sample using ICT is calculated on the different areas.

2011-2012: The expenditures are added up and published as total ICT expenditures, including estimation of the ICT expenditures from the non responding sample. The estimates are based on information from the reported ICT expenditures, either the whole sample, or the industry that the non respondent belong to.

 

Seasonal adjustment

Not relevant

Confidentiality

It is not possible to identify the respondents by published figures.

Comparability over time and space

The survey is not published between 2008 and 2012.

Because of changes in the population and the sample in 2012, the figures in 2012 are not directly comparable to the figures in 2008. But the change did not result in large differences in the units answering the questions.

Accuracy and reliability

Sources of error and uncertainty

Measurement errors are caused by the questionnaire or the respondents' internal system for obtaining the data. Examples are ambiguous questions, misunderstood questions or erroneous data from the respondents. The quality on the answers can also depend on the competence of the respondents. Some public enterprises buy external ICT services, and it can influence the data quality.

Processing errors can occur when Statistics Norway processes the data. In this survey such errors can occur if correct answers for some reason are assumed to be false and corrected. Usually, the respondent iscontacted before any corrections are made.

Errors of non-response refer to errors that either occurs due to missing reports or due to blank boxes in the questionnaires. The response rate is rather high in this survey, 93-95 per cent. There are not many blank boxes in the reports.

Year 2011-2012: For missing reports, estimates of the missing units' ICT expenditures are used.

Coverage errors refer to errors in registers that define the population, in this case the Central Register of Establishments and Enterprises. As a result of such errors, units may be incorrectly included in or excluded from the population. Other problems are related to delays in the update of the registers and units that are incorrectly classified. From experience it is known that a limited share of the population units is incorrectly classified. This is usually due to misleading or insufficient information at a certain time.

Revision

Not relevant

Contact