Survey on the use of electronic communications by Portuguese companies, December 2007
Survey on the use of electronic communications services by small and medium-sized enterprises, December 2010
The universe of this study comprises Micro, Small and Medium-sized Enterprises (SME), with registered offices in Portugal and whose economic activity is covered by one of the following sections of CAE codes (Rev. 3): Section C (Transforming Industries), Section F (Construction), Section G (Wholesale and retail commerce, repair of automobiles and motorcycles), Section H (Hotel and storage), Section I (Accommodation, restaurants and similar), Section K (Financial services and insurance), Section L (Real estate activities), Section M (Consultancy, scientific, technical and similar activities) and Section N (Administrative activities and support services).
The sample plan includes a multi-stage probabilistic sample that was previously stratified according to the NUTII, sector of activity and company size. 2503 interviews were carried out assuring a maximum absolute error margin of 2.0 (half the amplitude of a confidence interval of 95% for a proportion). Specific fragmentations within each electronic communications service translate into higher error margins: mobile telephone service (2.1), fixed telephone service (2.1), fixed Internet service (2.3) and mobile Internet service (3.4).
The field work was carried out by company GfK Metris. Face-to-face interviews using the CAPI (Computer Assisted Personal Interviewing) system were carried out from 20 October to 16 December 2010.
The estimation used weightings reckoned by GfK Metris. The weightings enabled adjustment of the obtained results to the known totals of the supporting variables (NUTS II, sector of activity and company size) in order to correct the distortions detected in the sample.
Survey on the use of electronic communications by Portuguese companies, December 2007
The universe of this study comprises Micro, Small and Medium-sized enterprises (SME), with registered offices in Portugal, which economic activity is covered by one of the following sections and groups of CAE codes (Rev. 2.1): Section D (Transforming Industries), Section F (Construction), Section G (Wholesale and retail commerce, repair of automobiles, motorcycles, personal and domestic use goods), Group H 551 (Hotel establishments), Group H 552 (Camping sites and other short term lodging facilities), Section I (Transport, warehousing and communications), Section K (Real estate activities, leasing and services to companies), Group O 921 (Cinema and video activities), and Group O 922 (Radio and television activities).
The sample plan includes a multi-stage probabilistic sample that was previously stratified. The national territory was divided into groups, according to the NUTII region and the presence of telecommunications operators in each region. A two-step sampling was carried out for each group. The first step corresponds to the selection of municipalities (with uneven probabilities, in proportion to the number of companies, for the target population), and the second step to the selection of companies (using a random sample stratified by activity sector and company size). 2403 interviews were carried out assuring a maximum absolute error margin of 2.0 (half the amplitude of a confidence interval of 95% for a proportion). Specific fragmentations within each electronic communications service translate into higher error margins: mobile telephone service (2.4), fixed telephone service (2.0) and Internet service (2.5).
The field work was carried out by company Qmetrics, S.A. Face-to-face interviews using the CAPI (Computer Assisted Personal Interviewing) system were carried out from 21 November to 21 December 2007 and from 3 to 15 January 2008.
The estimation used weightings reckoned by Qmetrics, S.A. The weightings led the obtained results to adjust to the known totals of the supporting variables (NUTS II, activity sector and company size based on physical data from Dec/2006 and on economic data from Dec/2005, from the National Statistical Institute) in order to correct the distortions detected in the sample.
