Usage of information and communication technologies in enterprises


Metadata
Period: Annual
Year: 2024

REFERENCE METADATA
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

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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

Methodologist.

01.5. Contact mail address

Milana Rakica 5, Belgrade, Serbia.


02. Metadata updateTop
02.1. Metadata last certified
11/02/2020
02.2. Metadata last posted
1/4/2025
02.3. Metadata last update
1/4/2025

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

NACE

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 topics:

-          Access to and use of the Internet

-          E-commerce and e-business

-          ICT specialists and skills

-          ICT security

-          Artificial Intelligence.

The annual model questionnaires and the European businesses statistics compliers’ manual for ICT usage and e-commerce in enterprises comprise definitions and explanations regarding the topics of the survey.

03.5. Statistical unit

Enterprise.

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

2023-2024.

03.9. Base period

N/A.


04. Unit of measureTop
04. Unit of measure

Percentage.


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

Other authorized producers of official statistics shall be obliged to cooperate with the Office on the methodology of statistical surveys that are envisaged by annual implementation plans, and when required, they consult the Office on the methodology and databases that they determine. In case of disagreement between the authorized producers of official statistics and the Office in relation to the issues as described in paragraph 1 hereof, the Office shall be obliged to advise respectively the Government, in writing and within 30 days after the disagreement was stated. Right to access individual data of other authorized producers of official statistics.

The Office shall have the right to access individual data resulting from the surveys of other authorized producers of official statistics, in case these data are essential for conducting the activities of official statistics or for the evaluation of data quality. The right to access individual data resulting from the surveys of the National Bank of Serbia shall be granted with prior written consent by the Governor of the National Bank of Serbia. Right to access administrative data sources

The Office shall have the right to access all administrative data sources in charge of government authorities, including identification codes, if necessary, as well as the right to access the data collected by constant monitoring and observation method, unless their statistical use is explicitly prohibited by law. The holders of administrative data sources and of data collected by constant monitoring and observation method are obliged to forward the data to the Office in accordance with the adopted Plan and in a way as agreed that shall entail no extra costs for the data holders, except in cases when these data are subject to special processing.


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:

http:/www.stat.gov.rs/calendar/?a=278&s=

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".

https://publikacije.stat.gov.rs/G2024/Pdf/G202416019.pdf

 

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:

https://www.stat.gov.rs/media/2322/zakon_o_statisticie.pdf and the rules defined by the Rulebook on the manner and procedure of data provision produced by the Republic Statistical Office:

https://www.stat.gov.rs/en-US/o-nama/dokumenti

10.5. Dissemination format - other

N/A.

10.6. Documentation on methodology

N/A

10.7. Quality management - documentation

1. The Methodological Manual provides guidelines and standards for the implementation of the survey in the Member States. The manual is updated and adapted every year according to the content of the model questionnaire. Furthermore, the use of the Eurostat model questionnaire improves comparability of the results of the survey among participating countries.

2. Procedure for hiring interviewers (Tender and subsequent Selection Decisions published on the Intranet)

3. Training of interviewers for ICT research

4. Continuous control of interviewers (listening, daily control of survey results)

5. Validation according to Eurostat rules

6. Preparation of a national Quality Report and reference metadata (used for quality assessment)

7. Conducting self-assessment by filling out a self-assessment questionnaire and preparing an accompanying report (self-assessment) - also for quality assessment

 

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.

 For more information, please see the documents at http://www.stat.gov.rs/en-US/o-nama/sistem-upravljanja-kvalitetom.

 

11.2. Quality management - assessment

At European level, the recommended use of the annual Eurostat model questionnaire aims at improving comparability of the results among the countries that conduct the survey on ICT usage and e-commerce in enterprises. Moreover, the European businesses statistics compilers’ manual for ICT usage and e-commerce in enterprises provides guidelines and clarifications for the implementation of the surveys.

At national level:

Indicators of ICT usage in enterprises are produced in accordance with methodological requirements and standards. Data are compared with previous and corresponding period and checks with different source are made.  The publication schedule is fixed and announced in advance.

 

12. Relevance Top
12.1. User needs

RATEL, Government institutions, public sector.

12.2. User satisfaction

RATEL (Republic Agency for Electronic Communications) has evaluated positively the data quality on the ICT usage in enterprises.

12.3. Completeness

Detailed information is available in “ Annex I. Completeness “ - related to questionnaire, coverage, additional questions, regional data.


 Annexes :
 Compliteness_RS_2024
 ICT enterprises questionnaire 2024 (Serbian latin)
 ICT enterprises questionnaire 2024

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

The data is available at the NUTS2 level.

15.2. Comparability - over time

Time series 2009-2024. 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

N/A.

15.4. Coherence - internal

N/A.


16. Cost and BurdenTop
16. Cost and Burden

Not avaliable.


17. Data revisionTop
17.1. Data revision - policy

https://www.stat.gov.rs/media/2283/opsta-politika-revizije-rzs-1.pdf

17.2. Data revision - practice


N/A.


18. Statistical processingTop
18.1. Source data

Survey is conducted on two-stage strtified random sample. Gross sample size is 1720 enterprises, response rate is 93.9%, or 1615 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

Data quality checks are done by manual revision of questionnaires and procedures of logical control. Collected data are first checked and verified during the process of data entering. After that quality checking is carried out by using a set of strict manual and electronic logical and calculation controls. Reports that fail to meet the quality standards are subject to verification and are corrected as required.

Obtained results from the actual reporting period are compared with the previous and the corresponding reporting period of the previous year. If inconsistencies are detected the data must be verified at micro level again by using raw data of the questionnaire and possibly changed.

For logical control and corrections of errors is used Integrated Survey Tool (IST). IST is a software package that includes the process of data entry, logical control and production of output tables.

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

N/A.


19. CommentTop