ICT usage in enterprises (isoc_e)

National Reference Metadata in SIMS structure for INFOSOC Enterprises

Compiling agency: Agency for Statistics of Bosnia and Herzegovina


Eurostat metadata
Reference metadata
1. Contact
2. Metadata update
3. Statistical presentation
4. Unit of measure
5. Reference Period
6. Institutional Mandate
7. Confidentiality
8. Release policy
9. Frequency of dissemination
10. Accessibility and clarity
11. Quality management
12. Relevance
13. Accuracy
14. Timeliness and punctuality
15. Coherence and comparability
16. Cost and Burden
17. Data revision
18. Statistical processing
19. Comment
Related Metadata
Annexes (including footnotes)



For any question on data and metadata, please contact: Eurostat user support

Download


1. Contact Top
1.1. Contact organisation

Agency for Statistics of Bosnia and Herzegovina

1.2. Contact organisation unit

Sector for Business Statistics, Department for Industry, Construction, Science, Technology and Innovation statistics

1.5. Contact mail address

Zelenih beretki 26, 71000 Sarajevo, Bosnia and Herzegovina


2. Metadata update Top
2.1. Metadata last certified 10/05/2024
2.2. Metadata last posted 10/05/2024
2.3. Metadata last update 10/05/2024


3. Statistical presentation Top
3.1. Data description

Data on the Information and Communication Technologies (ICT) usage and e-commerce in enterprises are survey data. They are collected by the National Statistical Institutes or Ministries and are in principle based on Eurostat's annual model questionnaires on ICT usage and e-commerce in enterprises.

Large part of the data collected is used to measure the progress in the implementation of one of the main political priorities of the European Commission for 2019 to 2024 – A Europe fit for the digital age. Part of this is the "European strategy for data", envisioning a single market for data to ensure the EU's global competitiveness and data sovereignty, in which context a comprehensive set of new rules for all digital services was proposed: the Digital Services Act and the Digital Markets Act, which are centrepieces of the EU digital strategy. Furthermore, the Commission and the High Representative of the Union for Foreign Affairs and Security Policy presented a new “EU cybersecurity strategy”, which is intended to bolster the EU's collective resilience against cyber threats, safeguard a global and open internet and protect EU values and the fundamental rights of its people. Furthermore, data will allow monitoring the progress towards  A Europe fit for the digital age, one of the six priorities for the period 2019-2024 of the von der Leyen European Commission.

The aim of the European survey on ICT usage and e-commerce in enterprises is to collect and disseminate harmonised and comparable information at European level.

 

Name of data collection
Survey Use of Information - Communication Technology in Enterprises for the reference year 2023. This is an annual survey on the usage of information and communication technologies (ICT) and provides information on computer usage, usage of the internet, electronic commerce and other ICTs in enterprises
3.2. Classification system

 EU NACE Rev. 2 classification of activities and national Classification of activities of Bosnia and Herzegovina (KD BiH 2010), fully harmonized with EU NACE Rev.2. 2008

 
3.3. 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 employees and self-employed persons. These activities are: NACE Rev. 2 sections C, D, E, F, G, H, I, J, L, M and N, division 95.1.

For micro-enterprises see the sub-concepts below.

3.3.1. Coverage-sector economic activity for micro-enterprises - All NACE Rev. 2 categories are covered
3.3.2. Coverage sector economic activity for micro-enterprises - If not all activities were covered, which ones were covered?

Micro enterprises are not included in the survey.

3.4. 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:

-          Access to and use of the Internet

-          E-commerce and e-business

-          Data utilization, sharing, analytics and trading

-          ICT specialists and skills

-          Use of cloud computing services

-          Artificial Intelligence

-          Other topics: Invoicing.

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

3.5. Statistical unit

The reporting units are enterprises with 10 or more employees registered within these economic activities: NACE Rev. 2 sections C, D, E, F, G, H, I, J, L, M and N, division 95.1., according to the Classification of Activities (KD BiH 2010) : 

 

- Section C – “Manufacturing”;

- Section D, E – “Electricity, gas, steam and air conditioning supply” “Water supply, sewerage, waste management and remediation activities”;

- Section F – “Construction”;

- Section G – “Wholesale and retail trade; repair of motor vehicles and motorcycles”;

- Section H – “Transportation and storage”;

- Section I – “Accommodation and food service activities”;
 
- Section J – “Information and communication”;

- Section L – “Real estate activities”;

- Section M – “Professional, scientific and technical activities”;

- Section N – "Administrative and support service activities";

- Group 95.1 – “Repair of computers and communication equipment”

 

3.6. Statistical population

Target Population

As required by Annex of the Commission Implementing Regulation, enterprises with 10 or more employees and self-employed persons shall be covered by the survey.

For micro-enterprises see the sub-concepts below.

3.6.1. Coverage of micro-enterprises
No
3.6.2. Breakdown between size classes [0 to 1] and [2 to 9]
No
3.6.3. If for micro-enterprises different size delimitation was used, please indicate it.

Not applicable

3.7. Reference area

Data refer to the entire territory of the Bosnia and Herzegovina country.

 
3.8. Coverage - Time

Years 2022 and 2023.

3.9. Base period

Not applicable


4. Unit of measure Top

Percentages of enterprises, Percentages of turnover, Percentages of employees and self-employed persons, Million Euro.


5. Reference Period Top

The reference periods defined in the questionnaire were followed 

 


6. Institutional Mandate Top
6.1. Institutional Mandate - legal acts and other agreements

Complementary national legislation constituting the legal basis for the survey on the use of ICT in enterprises: 

- Law on Statistics of BiH (Official Gazette of BiH No. 26/04 and 42/04), and laws on statistics of the entity statistical institutions. The Agency for Statistics of Bosnia and Herzegovina is responsible for data collection, data processing, and data publishing at the state level (BiH level) as well as for the implementation of methodologies in all three statistical institutions in BiH in a unique way;

- Multi-annual statistical work programs for BiH (2021 - 2024) and Annual Work Plan of BiH for 2023;

- Strategy for development of statistics of Bosnia and Herzegovina 2030;

6.2. Institutional Mandate - data sharing

-  Data delivery/sharing between the Institutes of Statistics from the entities (Republic of Srpska Institute for Statistics and the Institute of Statistics of the Federation of BiH) and the Agency for Statistics of BiH is regulated by Laws on statistics as well as Agreement on data sharing between all three statistical institutions;

- Data sharing to external users (state institutions) in the country are regulated by Law on Statistics of Bosnia and Herzegovina No. 26/2004 and 42/2004 and other laws which regulate the work of state institutions

- Statistical Office of the European Union (Eurostat);


7. Confidentiality Top
7.1. Confidentiality - policy

Regulation (EC) No 223/2009 on European statistics (recital 24 and Article 20(4)) of 11 March 2009 (OJ L 87, p. 164), stipulates the need to establish common principles and guidelines ensuring the confidentiality of data used for the production of European statistics and the access to those confidential data with due account for technical developments and the requirements of users in a democratic society.

At national level : 

The confidentiality of statistical data is regulated by law and the staff carrying out the statistical survey has the obligation, according to the same legal basis, to protect confidentiality. The Law on Statistics of Bosnia and Herzegovina (Official Gazette BiH 26/04 and 42/04 - Chapter XI - Articles 23-29) establishes the principle of confidentiality as one of the main principles.
The Agency for Statistics of BIH distributes statistics in accordance with the statistical principles of the European Statistics Code of Practice, and in particular in accordance with the principle of statistical confidentiality.

7.2. Confidentiality - data treatment

Data are transmitted via eDamis (encrypted) and delivered to a secure environment where they are treated. Flags are added for confidentiality in case results must not be disclosed.

At national level : 

The document "Rules on the Protection of Statistical Data in the Agency for Statistics" lists procedures for ensuring confidentiality during collection, processing and dissemination - including protocols for securing individual data being accessed, rules for defining confidential cells in output tables and procedures for the detection and prevention of subsequent disclosures as well as access to microdata for research purposes. Confidential data are hidden and not shown in publications. 

https://bhas.gov.ba/data/Dokumenti/pdf/RULEBOOK_DATA_PROTECTION_BHAS.pdf


8. Release policy Top
8.1. Release calendar

The release calendar for statistical publications in BiH is published in advance for the entire year and it contains detailed information about all publications planned to be published. In December every year, the Agency for statistics of BIH publishes on a website a calendar with accurate dates and times of publication of statistics for the next year.  The calendar is published on the website in four language versions (Bosnian, Croatian, Serbian and English languages) and in pdf format. The deadline for publishing ICT ENT is 31st October

 
8.2. Release calendar access

The release calendar for Statistical Press Releases in BiH for 2023 is available at the following link: http://bhas.gov.ba/Calendar/?lang=en

8.3. Release policy - user access

All publications are published in accordance with the defined release calendar on the exactly specified date, at 11 o’clock, on the Agency’s website.  If publishing of the publication will be delayed, the relevant information with a detailed explanation shall be posted on the website and a new date/time shall be published.  All publications intended for users are available in 4 languages, that is, 3 local languages plus the English version.  Users shall not have access to new data prior to their official publication on the Agency’s website, nor is it possible for them to be granted access to data earlier. The principle that all users should have equal access to statistical data on an unbiased base is stipulated in Article 8, paragraph (2), subparagraph h) and Article 19, paragraph (2) of the Law on Statistics of BiH, and the Agency for statistics of BiH strictly comply with it in practice.


9. Frequency of dissemination Top

Data on ICT usage in enterprises are disseminated annually. 

 


10. Accessibility and clarity Top
10.1. Dissemination format - News release

National dissemination of results

Thematic bulletin on the use of Information and Communication Technology in Bosnia and Herzegovina is published on the website of the Agency for Statistics of Bosnia and Herzegovina:

https://bhas.gov.ba/Calendar/Category/29 (currently available for 2022 reference year)

The first release of preliminary results on ICT usage and e-commerce in Enterprises for Bosnia and Herzegovina is published on the website of the Agency for Statistics of Bosnia and Herzegovina at the following link:

https://bhas.gov.ba/data/Publikacije/Saopstenja/2023/IKT_04_2023_Y1_1_BS.pdf 

 
10.2. Dissemination format - Publications

National dissemination of results for Bosnia and Herzegovina:

THEMATIC BULLETIN (Final results)

- USE OF INFORMATION AND COMMUNICATION TECHNOLOGY IN BOSNIA AND HERZEGOVINA (last available thematic bulletin for the reference year 2022: https://bhas.gov.ba/data/Publikacije/Bilteni/2023/IKT_00_2022_TB_1_BS.pdf)

Special publication - Bosnia and Herzegovina in Figures:

-  BiH in figures – section Information and Communication Technologies: https://bhas.gov.ba/data/Publikacije/Bilteni/2023/NUM_00_2022_TB_1_BS.pdf

10.3. Dissemination format - online database

See detailed section 10.3.1.

10.3.1. Data tables - consultations

Results for selected variables collected in the framework of this survey are available for all participating countries on Digital economy and society of Eurostat website.

At the national level :

Currently, there is no available online database for INFOSOC statistics to users on the website of the Agency for Statistics of Bosnia and Herzegovina.

 

10.4. Dissemination format - microdata access

There is no microdata access granted to the users.

 
10.5. Dissemination format - other

Data on ICT are published in MS Excel format: https://bhas.gov.ba/data/Publikacije/VremenskeSerije/IKT_04.xls

 
10.5.1. Metadata - consultations

There is no available this kind of information because there is no software solution implemented for counting the web hits.

 
10.6. Documentation on methodology

https://bhas.gov.ba/Calendar/

 
10.6.1. Metadata completeness - rate

Not requested

 
10.7. Quality management - documentation

A quality report for the 2023 reference year has not been produced yet. This report is expected to be published in December 2023 on the website of the Agency for Statistics of Bosnia and Herzegovina.  


11. Quality management Top
11.1. Quality assurance

The European businesses statistics compliers’ manual for ICT usage and e-commerce in enterprises provides guidelines and standards for the implementation of the surveys. It is updated every year according to the changed contents of the model questionnaires.

At national level :

The Methodological Manual provides guidelines and standards for the implementation of the surveys. It is updated every year according to the changed contents of the model questionnaires. More information about quality are provided in the following link: https://bhas.gov.ba/Content/Read/92?title=Kvalitet

11.2. Quality management - assessment

European level :

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 Methodological Manual provides guidelines and clarifications for the implementation of the surveys.

National level :

The Methodological Manual for statistics on the Information Society Statistics provided by Eurostat is only used.


12. Relevance Top
12.1. Relevance - User Needs

European level : 

At European level, European Commission users (e.g. DG CNECT, DG GROW, DG JUST, DG REGIO, DG JRC) are the principal users of the data on ICT usage and e-commerce in enterprises and contribute in identifying/defining the topics to be covered. Hence, main users are consulted regularly (at hearings, task forces, ad hoc meetings) for their needs and are involved in the process of the development of the model questionnaires at a very early stage.

User needs are considered throughout the whole discussion process of the model questionnaires aiming at providing relevant statistical data for monitoring and benchmarking of European policies.

National level :

Key users of the statistical data of the survey in Bosnia and Herzegovina are the Council of Ministers of BiH, the Ministry of Transport and Communications of BiH, the Central Bank of BiH, and the Regional Cooperation Council. Data users are also business entities, the media, and the public.

12.2. Relevance - User Satisfaction

European level : 

At European level, contacts within the Commission, the OECD and other stakeholders give a clear picture about the key users' satisfaction as to the following data quality aspects: accuracy and reliability of results, timeliness, satisfactory accessibility, clarity and comparability over time and between countries, completeness and relevance. Overall users have evaluated positively (good, very good) the data quality on the ICT usage and e-commerce in enterprises.

National level :

There is no specific user satisfaction survey conducted in Bosnia and Herzegovina for the survey on ICT usage and e-commerce in enterprises.

12.3. Completeness

Detailed information is available in “ Annex I _ Completeness “ excel file - related to questionnaire, coverage, additional questions.

12.3.1. Data completeness - rate

Not requested. Any relevant qualitative information is available in the column “Any deviation from question/item in the model questionnaire” in the “ Annex I _ Completeness “ excel file.


13. Accuracy Top
13.1. Accuracy - overall

Comments on reliability and representativeness of results and completeness of dataset

These comments reflect overall standard errors reported for the indicators and breakdowns in section 13.2.1 (Sampling error - indicators) and the rest of the breakdowns for national and 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).

More detailed information is available in “ Annex II. _ Accuracy “ excel file - related to European aggregates, comments on reliability and use of flag.

13.2. Sampling error

For calculation of the standard error see 13.2.1.1.

13.2.1. Sampling error - indicators

Standard error (for selected indicators and breakdowns)

Precision measures related to variability due to sampling, unit non-response (the size of the subset of respondents is smaller than the size of the original sample) and other (imputation for item non-response, calibration etc.) are not (yet) required from the Member states for all indicators.  Eurostat will make basic assumptions to compute these measures for all indicators produced (e.g. stratified random sampling assuming as strata the crossing of the variables “Number of employees and self-employed persons” and “Economic Activity” as it was defined in the 3 tables of section 18.1).

More detailed information is available in“ Sample and standard error tables 2023 “ excel file – worksheets starting with “Standard error".

13.2.1.1. Sampling error indicator calculation

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.

a) Name and brief description of the applied estimation approach
Estimates were calculated using functions implemented in the R "survey" package.

 

b) Basic formula
  Not available

 

c) Main reference in the literature
  https://cran.r-project.org/web/packages/survey/survey.pdf

 

d) How has the stratification been taken into account? 
Stratification was taken into account by passing strata as an argument to the “svydesign” function in the R “survey” package.

 

e) Which strata have been considered? 
 All strata created according to NACE Rev. 2 economic activity and enterprise size have been considered.

 

 
13.3. Non-sampling error

See detailed sections below.

13.3.1. Coverage error

See concept 18.1.1. A) Description of frame population.

13.3.1.1. Over-coverage - rate

Over-coverage rate  0,00%

 
13.3.1.2. Common units - proportion

Not requested

13.3.2. Measurement error

  No measurement errors found

 
13.3.3. Non response error

See detailed sections below.

13.3.3.1. Unit non-response - rate

See detailed sub-concepts below.

13.3.3.1.1. Unit response

The following table contains the number of units (i.e. enterprises), by type of response to the survey and by the percentage of these values in relation to the gross sample size.

 

Type of response Enterprises
0-9 employees and self-employed persons 10 or more employees and self-employed persons
Number % Number %
Gross sample size (as in section 3.1 C)   100% 2704 100%
1. Response (questionnaires returned by the enterprise)      2234 82.6% 
1.1 Used for tabulation and grossing up (Net sample or Final Sample; as in section 3.1 D)        
1.2 Not used for tabulation        
1.2.1 Out of scope (deaths, misclassified originally in the target population, etc.)        
1.2.2 Other reasons (e.g. unusable questionnaire)        
2. Non-response (e.g. non returned mail, returned mail by post office)      470  17.4%

 

Comments on unit response, if unit response is below 60%
 Not applicable
13.3.3.1.2. Methods used for minimizing unit non-response

The survey is promoted through local media, and the websites of three statistical institutions in Bosnia and Herzegovina. Also, reporting units are informed by official letters that the survey will be conducted.  

 
13.3.3.1.3. Methods used for unit non-response treatment
1. No treatment for unit non-response  
2. Treatment by re-weighting
2.1 Re-weighting by the sampling design strata considering that non-response is ignorable inside each stratum (the naïve model)  X
2.2 Re-weighting by identified response homogeneity groups (created using sample-level information)  
2.3 Re-weighting through calibration/post-stratification (performed using population information) by the groups used for calibration/post-stratification  
3. Treatment by imputation (done distinctly for each variable/item)  
4. Method(s) and the model(s) corresponding to the above or other method(s) used for the treatment of unit non-response. (e.g. Re-weighting using Horvitz-Thompson estimator, ratio estimator or regression estimator, auxiliary variables )
  Horvitz-Thomson estimator is used for the treatment of unit non-response
13.3.3.1.4. Assessment of unit non-response bias

Not applicable.

 
13.3.3.2. Item non-response - rate

Item non-response rate is not calculated. 

13.3.3.2.1. Methods used for item non-response treatment
1. No treatment for item non-response  
2. Deductive imputation
An exact value can be derived as a known function of other characteristics.
 
3. Deterministic imputation (e.g. mean/median, mean/median by class, ratio-based, regression-based, single donor nearest-neighbour)
Deterministic imputation leads to estimators with no random component, that is, if the imputation were to be re-conducted, the outcome would be the same
 X
4. Random imputation (e.g. hot-deck, cold-deck)
Random imputation leads to estimators with a random component, that is, if the imputation were re-conducted, it would have led to a different result
 
5. Re-weighting  
6. Multiple imputation
In multiple imputation each missing value is replaced (instead of a single value) with a set of plausible values that represent the uncertainty of the right value to impute. Multiple imputation methods offer the possibility of deriving variance estimators by taking imputation into account. The incorporation of imputation into the variance can be easily derived based on variability of estimates among the multiply imputed data sets.
 
7. Method(s) and the model(s) corresponding to the above or other method(s) used for the treatment of item non-response.
 
13.3.3.2.2. Questions or items with item response rates below 90% and other comments

Other comments relating to the item non-response

Additional issues concerning "non-response" calculation (e.g. method used in national publications).
 Not applicable

 

Questions and items with low response rates (cut-off value is 90% ) and item non-response rate.
 Not applicable
13.3.4. Processing error

No processing errors were detected.

 
13.3.5. Model assumption error

Not requested


14. Timeliness and punctuality Top
14.1. Timeliness

See detailed section below.

14.1.1. Time lag - first result

Not applicable

14.1.2. Time lag - final result

European level : 

Data are to be delivered to Eurostat in the fourth quarter of the reference year (due date for the finalised dataset is 5th October). European results are released before the end of the survey year or in the beginning of the year following the survey year (T=reference year, T+0 for indicators referring to the current year, T+12 months for other indicators referring to the previous year e.g. e-commerce).

At national level : 

Data are released in October for the survey year.

14.2. Punctuality

 See detailed section below.

14.2.1. Punctuality - delivery and publication

Delivery to Eurostat is done on 3rd October 2023


15. Coherence and comparability Top
15.1. Comparability - geographical

The model questionnaire is generally used by the countries that conduct the survey on ICT usage and e-commerce in enterprises. Due to (small) differences in translation, in the used survey vehicle, in non-response treatment or different routing through the questionnaire, some results for some countries may be of reduced comparability. In these cases, notes are added in the data.

The surveys on the use of ICT in enterprises were conducted in full compliance with the requirements and regulations of the European Commission. The reference year is also harmonized with the European countries as well as the variables collected and to be transmitted to Eurostat.

Detailed information on differences in the wording of the questions in the national questionnaires is available in “ Annex I _ Completeness “ excel file - related to questionnaire, coverage, additional questions.

15.1.1. Asymmetry for mirror flow statistics - coefficient

Not applicable

15.2. Comparability - over time

See section below.

15.2.1. Length of comparable time series

The length of comparable time series depends on the module and the variable considered within each survey module. Additional information is available in annexes attached to the European metadata.

There are no changes in the survey from the previous year(s) that may have an impact on the comparability over time of the results delivered to Eurostat.

15.3. Coherence - cross domain

Not applicable

15.3.1. Coherence - sub annual and annual statistics

 Not applicable

15.3.2. Coherence - National Accounts

Not applicable

15.4. Coherence - internal

Not applicable


16. Cost and Burden Top
Restricted from publication


17. Data revision Top
17.1. Data revision - policy

There is no official revision policy adopted by BHAS. However, there are internal rules defined for the correction of errors that occur occasionally. BHAS employees make efforts to reduce errors before the data release. Corrections of errors are indicated with a note pointing out page, table number etc. where the data are corrected. A list of corrections is provided which clearly indicates which publication has an error. 

17.2. Data revision - practice

Procedures for handling errors of the released data are adapted to the gravity of the error. Excluding proofing/printing errors, the basic procedure following the detection of an error is as follows:

1. a correction of a detected error, and reissuing the data/publications or corrigenda only in case of a larger publication on the BHAS website in the shortest period possible

2. a notice stating the case of an amendment next to the link with the revised data or a notice stating the availability of the corrigenda in cases of larger publications together with the release date of amended data

If an error is detected and corrected on the day of the release, the correction notice must state the precise release time of the correction. Corrections of proofing/printing errors shall be made without issuing a correction notice. 

17.2.1. Data revision - average size

 Not requested


18. Statistical processing Top
18.1. Source data

A) Frame population description and distribution

For more information see concept 18.1.1.

 

B) Sampling design - Sampling method

Description of the sampling method used (e.g. stratified random sample, quota sampling, cluster sampling; one-stage or two-stage sampling) and information which variables were used to stratify, the categories of those variables, in particular for the NACE Rev. 2 categories related to the "possible calculation of European aggregates", and the final number of strata: 

 The combined sampling method and full coverage were used, depending on the number of employees, i.e. For enterprises with fewer than 100 employees, a stratified random sample was used, while for the rest (number of employees> = 100) a full coverage was taken. The allocation of units within the strata was made using the variability of the number of employees per stratum for the entire target population. The maximum was applied between Neyman's allocation and the obtained Neyman average and the proportional allocation. After this initial allocation, a rule of 10 units per stratum was applied to reduce the number of strata with a small number of units

 

C) Gross sample distribution

More detailed information is available in “ Sample and standard error tables 2023  “ excel file (Worksheet: GROSS SAMPLE)

 

D) Net sample distribution

More detailed information is available in “ Sample and standard error tables 2023  “ excel file (Worksheet: NET SAMPLE)

18.1.1. Population frame

A) Description of frame population

a) When was the sample for the ICT usage and e-commerce in enterprise survey drawn?                     24.2.2023.                     
b) When was the last update of the Business register that was used for drawing the sample of enterprises for the survey? 31.12.2022
c) Please indicate if the frame population is the same as, or is in some way coordinated with, the one used for the Structural Business Statistics (different snapshots) For both surveys only the same state of the Statistical Business Register is used, i.e. 31.12.2022. The frames are not coordinated.
d) Please describe if different frames are used during different stages of the statistical process (e.g. frame used for sampling vs. frame used for grossing up): The same frame is used in all stages
e) Please indicate shortcomings in terms of timeliness (e.g. time lag between last update of the sampling frame and the moment of the actual sampling), geographical coverage, coverage of different subpopulations, data available etc., and any measures taken to correct it, for this survey. Data on the number of employees and financial data within the sampling frame refer to 2021 since these data for 2022 are available at the end of July 2023. Updating dynamics is defined by SBR department

 

 B) Frame population distribution

More detailed information is available in “ Sample and standard error tables 2023  “ excel file (Worksheet: FRAME POPULATION)

18.2. Frequency of data collection

Annual

18.3. Data collection

See detailed sections below.

18.3.1. Survey period
Survey / Collection Date of sending out questionnaires Date of reception of the last questionnaire treated
General survey  27.03.2023  21.04.2023
Micro-enterprises                                                                Not included                                                                Not included
18.3.2. Survey vehicle – general survey
General survey - Stand-alone survey
18.3.3. Survey vehicle – micro-enterprises
The collection of micro-enterprises was integrated with the general survey
18.3.4. Survey type

Data for the Survey on the use of ICT enterprises are collected by using the CATI method, and by mail. The data are collected directly from the selected reporting units from the sample through a telephone interview or by sending a questionnaire to businesses via mail

 
18.3.5. Survey participation
Mandatory
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. 

Before sending data to Eurostat, data was verified on the Acceptance platform of eDAMIS.

18.5. Data compilation

Grossing-up procedures

Correction of initial weights is usually done, taking into account non-response.

Estimates were calculated by using the "survey" package (containing functions for calculating HT estimates) within the "R" environment.

 

18.5.1. Imputation - rate

Not applicable.

18.6. Adjustment

Not applicable

18.6.1. Seasonal adjustment

Not applicable


19. Comment Top

Problems encountered and lessons to be learnt: 

19.1. Documents
Questionnaire in national language  X
Questionnaire in English (if available)  X
National reports on methodology (if available)  
Analysis of key results, backed up by tables and graphs in English (if available)  
Other Annexes  X


Related metadata Top


Annexes Top
Annex II._ Accuracy 2023
Sample and standard errors_BA_2023
Completness ICT ENT 2023_BA
ICT Enterprises Questionnaire_BA_BS
National questionnaire 2023 ICT Enterprises_BA_ENG