Survey of Innovation and Business Strategy

Detailed information for 2017

Status:

Active

Frequency:

Occasional

Record number:

5171

This survey collects information on the strategic decisions, innovation activities, operational tactics and global value chain activities of businesses in Canada.

Data release - Scheduled for...

Description

The information compiled by this survey will be used by governments to better understand the impact of business strategy, innovation decisions and operational adaptations on the Canadian economy including business competitiveness, efficiency and productivity. This will enable governments to develop policies intended to improve Canada's industrial productivity and competitiveness.

This survey collects information on the strategic decisions, innovation activities, operational tactics and global value chain activities of businesses in Canada.

The questions asked in this survey relate to this business's strategic focus; competitive landscape; innovation activities and expenditures; and the use of advanced technology, business practices and government support programs.

The survey also asks questions on this business's expenditures, revenues, purchased goods or services, international sales and personnel.

Subjects

  • Business performance and ownership
  • Innovation
  • Science and technology

Data sources and methodology

Target population

The target population for the Survey of Innovation and Business Strategy is limited to enterprises within the following 14 sectors defined according to the North American Industry Classification System (NAICS, Statistics Canada, 2012):

- Agriculture, forestry, fishing and hunting (11)
- Mining, quarrying, and oil and gas extraction (21)
- Utilities (22)
- Construction (23)
- Manufacturing (31-33)
- Wholesale trade (41)
- Retail trade (44-45)
- Transportation and warehousing (48-49)
- Information and cultural industries (51)
- Finance and insurance (52)
- Real estate and rental and leasing (53)
- Professional, scientific and technical services (54)
- Management of companies and enterprises (55)
- Administrative and support, waste management and remediation services (56)

To reduce response burden on small businesses, only enterprises with at least 20 employees and revenues of at least $250,000 were considered for sample selection.

Instrument design

The metadata will be provided upon release.

Sampling

This is a sample survey with a cross-sectional design.

The target population was stratified by industrial groupings (North American Industry Classification System (NAICS) Canada 2012), region and size classes based on number of employees per enterprise.

The survey design required a census of all large enterprises within the 14 selected sectors. The sample was randomly selected to meet two sets of objectives:

1) Produce estimates of proportions for defined characteristics for Canada and for selected provinces or regions with a target standard error (quality measure) to satisfy the requirements for estimates by employment size and industry. The sample was not designed to produce estimates by employment size and geography.

2) Permit microdata analysis within a linked file environment.

Data sources

Responding to this survey is mandatory.

Data are collected directly from survey respondents and extracted from administrative files.

Telephone interview (pre-contact)

View the Questionnaire(s) and reporting guide(s) .

Error detection

The metadata will be provided upon release.

Imputation

The metadata will be provided upon release.

Estimation

The metadata will be provided upon release.

Quality evaluation

The metadata will be provided upon release.

Disclosure control

Statistics Canada is prohibited by law from releasing any information it collects which could identify any person, business, or organization, unless consent has been given by the respondent or as permitted by the Statistics Act. Various confidentiality rules are applied to all data that are released or published to prevent the publication or disclosure of any information deemed confidential. If necessary, data are suppressed to prevent direct or residual disclosure of identifiable data. Direct disclosure or primary confidentiality occurs when the value in a tabulation cell is composed or dominated by few enterprises. Residual disclosure occurs when confidential information can be derived indirectly by piecing together information from different sources or data series.

Revisions and seasonal adjustment

This methodology type does not apply to this statistical program.

Data accuracy

The metadata will be provided upon release.

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