Usage of information and communication technologies in enterprises

Period: Annual
Year: 2019

01. Contact
02. Metadata update
03. Statistical presentation
04. Unit of measure
05. Reference Period
06. Institutional Mandate
07. Confidentiality
08. Release policy
09. Frequency of dissemination
10. Accessibility and clarity
11. Quality management
12. Relevance
13. Accuracy and reliability
14. Timeliness and punctuality
15. Coherence and comparability
16. Cost and Burden
17. Data revision
18. Statistical processing
19. Comment

01. ContactTop
01.1. Contact organisation
Statistical Office of the Republic of Serbia
01.2. Contact organisation unit

Information Society Statistics unit

01.3. Contact name

Uros Rajcevic

01.4. Contact person function


01.5. Contact mail address

Milana Rakica 5, Belgrade, Serbia.

02. Metadata updateTop
02.1. Metadata last certified
02.2. Metadata last posted
02.3. Metadata last update

03. Statistical presentationTop
03.1. Data description

Survey data refer to the use of different information-comunication technologies and devices in households.

03.2. Classification system


03.3. Coverage - sector

All economic activities in the scope of Annex I of the Commission Regulation are intended to be included in the general survey, covering enterprises with 10 or more persons imployes. These activities are: NACE Rev. 2 sections C, D, E, F, G, H, I, J, L and N, divisions 69-74 and 95.1.



03.4. Statistical concepts and definitions

The model questionnaire on ICT usage and e-commerce in enterprises provides a large variety of variables covering among others the following areas:

-          General information about ICT systems

-          Access to and use of the Internet

-          E-commerce and e-business

-          Other topics foreseen in the benchmarking frameworks: e-skills, the mobile use of the Internet, cloud computing, social media, software as a service, etc.

The annual model questionnaires and the methodological manual comprise definitions and explanations.

03.5. Statistical unit


03.6. Statistical population

Enterprises with 10 or more persons employed.

03.7. Reference area

All enterprises on terittory of Republic of Serbia without Kosovo.

03.8. Coverage - Time


03.9. Base period


04. Unit of measureTop
04. Unit of measure


05. Reference PeriodTop
05. Reference Period

The first quarter of the current year (for the entire research "Use of Information and Communication Technologies in RS in Enterprises" the reference period is the first quarter, only e-commerce is observed for the previous year).

06. Institutional MandateTop
06.1. Institutional Mandate - legal acts and other agreements

Official Statistics Law.

06.2. Institutional Mandate - data sharing


07. Confidentiality Top
07.1. Confidentiality - policy

Official Statistics Law.

07.2. Confidentiality - data treatment

Official Statistics Law.

08. Release policyTop
08.1. Release calendar

Statistical release and publications with results from survey are avaliable on the website of the Statistical Office of the Republic of Serbia, in the part "Release Calendar".

08.2. Release calendar access

Release calendar for the current year is avaliable to public on the web page:


08.3. Release policy - user access

Survey result are available:

1) SORS web-site

2) Library

Publication and survey results are available on SORS web-site under same terms for all interested users. in case of specialt requests Price Policy of SORS will be implemented. 

09. Frequency of disseminationTop
09. Frequency of dissemination

Data are published annualy.

10. Accessibility and clarityTop
10.1. Dissemination format - News release

Survey results for usage of ICT in enterprises does not have press release.

10.2. Dissemination format - Publications

The book "Usage of information-communication technologies in the Republic of Serbia".

10.3. Dissemination format - online database

Most important indicators are available in database on SORS web-site. Users are able to download files to excel.

10.4. Dissemination format - microdata access

The Institute provides access to individual data without identifiers (anonymous data) which are available upon request of the user in accordance with the principles defined in the Official Statistics Law: and the rules defined by the Rulebook on the manner and procedure of data provision produced by the Republic Statistical Office:

10.5. Dissemination format - other


10.6. Documentation on methodology

Work in progress on setting up on new site of the Statistical Office of the Republic of Serbia.

10.7. Quality management - documentation

A detailed control of the results is carried out before the results of the survey are published. Based on the Customer Satisfaction Survey, feedback was received on the quality and comprehensibility of published results.


11. Quality managementTop
11.1. Quality assurance

The Methodological Manual provides guidelines and standards for the implementation of the surveys in the Member States. It is updated every year according to the changed contents of the model questionnaires.


11.2. Quality management - assessment

Before publishing the results, detailed control is carried out by examining the results obtained. Through two user satisfaction surveys, feedback was obtained on the quality and comprehensibility of the published results of all surveys in the SORS, and included subject research.


12. Relevance Top
12.1. User needs

RATEL, Government institutions, public sector.

12.2. User satisfaction

User reviews and opinions were obtained through the Customer Satisfaction Survey 2013, 2015, and 2017.

12.3. Completeness


13. Accuracy and reliabilityTop
13.1. Overall accuracy

 (Quality report)

A) Reliability of breakdowns to be used for the calculation of European aggregates

Please indicate for both the general survey and for micro-enterprises the breakdowns to be used for the calculation of European aggregates that have a sufficiently high quality to be released at national level by introducing an "x" in the column next to the Y/N responses.

Note: In the case there is a grant agreement that foresees that certain breakdowns will be provided with sufficiently high quality to allow their release at national level, the following table should reflect the grant agreement ("x" next to "Yes" for the respective breakdowns).

In the case data for few variables/breakdowns cannot be released - although the particular breakdowns had been taken into account in the sampling design as foreseen in the grant agreement - it is expected that the breakdowns are marked with "Yes", data are accordingly flagged as unreliable and explanations should be provided in point 6.1. (B) (below)

In all cases, data will be evaluated for completeness and compliance with the terms in the grant agreement (if applicable) and the current quality report; additional clarifications may be requested.

Economic Activity Micro-enterprises General Survey
10-12 Yes   No   Yes   No  
13-15 Yes   No   Yes   No  
16-18 Yes   No   Yes   No  
26 Yes   No   Yes   No  
27-28 Yes   No   Yes   No  
29-30 Yes   No   Yes   No  
31-33 Yes   No   Yes   No  
45 Yes   No   Yes   No  
46 Yes   No   Yes   No  
55-56 Yes   No   Yes   No  
58-60 Yes   No   Yes   No  
61 Yes   No   Yes   No  
62-63 Yes   No   Yes   No  
77-78+80-82 Yes   No   Yes   No  
79 Yes   No   Yes   No  
95.1 Yes   No   Yes   No  


(Quality report)

B) Comments on reliability and representativeness of results and completeness of dataset

These comments should reflect standard errors reported for the indicators and breakdowns in section 6.2.1 (Sampling error - indicators) and the breakdowns for European aggregates, as well as other accuracy measurements. The estimated standard error should not exceed 2pp for the overall proportions and should not exceed 5pp for the proportions related to the different subgroups of the population (for those NACE aggregates for the calculation and dissemination of national aggregates). If problems were found, these could have implications for future surveys (e.g. need to improve sampling design, to increase sample sizes, to increase the response rates etc.).


Comments related to all indicators, breakdowns concerning accuracy (sampling error in 6.2.1, other indicators and breakdowns, breakdowns for European aggregates):



If significant standard errors were found, were data cells in the transmitted dataset flagged as unreliable?
Yes No1

[1] Please note that if data were not flagged as unreliable they will be released

13.2. Sampling error

(Quality report)

Calculation of the standard error

Various methods can be used for the calculation of the standard error for an estimated proportion. The aim is to incorporate into the standard error the sampling variability but also variability due to unit non-response, item non-response (imputation), calibration etc. In case of census / take-all strata, the aim is to calculate the standard errors comprising the variability due to unit non-response and item non-response.

Please, describe below the approach which you have followed. This information will help Eurostat to evaluate the comparability of the standard errors supplied in the previous section by the different statistical institutes participating in the survey.

a) Name and brief description of the applied estimation approach
Taylor linearization was used for variance estimation by applying SAS procedure survey means. Sampling design and weighting have been taken into the account because it is required by the mentioned SAS procedure.


b) Basic formula
 Estimators for proportion:


 c) Main reference in the literature
"Sampling: Design and Analysis",  Sharon L. Lohr


d) How has the stratification been taken into account?
 Strata ID is required by SAS procedure


e) Which strata have been considered?
 Strata defined in sampling design have been considered. 


13.3. Non-sampling error

Please fill in the sub-concepts below.

14. Timeliness and punctualityTop
14.1. Timeliness

The survey is being conducted in March, while the research results are published at the end of the third week of September.

14.2. Punctuality

All data are sent to Eurostat in time.

15. Coherence and comparabilityTop
15.1. Comparability - geographical


15.2. Comparability - over time

Time series 2009-2018. For information: there are interrupt series, the reasons for the break of the series are:

- change the Eurostat questionnaire and eject certain variables from the questionnaire

- change the scope of certain variables, some variables are divided into two different variables, thus eliminating the possibility of a time series

15.3. Coherence - cross domain


15.4. Coherence - internal


16. Cost and BurdenTop
16. Cost and Burden

Not avaliable.

17. Data revisionTop
17.1. Data revision - policy


17.2. Data revision - practice


18. Statistical processingTop
18.1. Source data

Survey is conducted on two-stage strtified random sample. Gross sample size is 1781 household, response rate is 84.7%, or 1509 enterprises. Statistical data source.

18.2. Frequency of data collection

Annual survey.

18.3. Data collection

 The survey is conducted through a telephone survey, (CATI) method of data collection on IST. The questionnaire was formulated according to the Eurostat methodology, where it was previously tested and accepted by all member states and candidates. The interviewer training is conducted according to the instructions for using the data entry program in IST.

18.4. Data validation

We use EUROSTAT validation program.

18.5. Data compilation

 Whi=Nh/mh  Nh- number of units in Farme in strata h; mh -number of responded units in strata h; Whi - weight for unit i in strata h

18.6. Adjustment


19. CommentTop