{"type":"survey","doc_desc":{"title":"POL_2014_EDPFI_v01_M","idno":"DDI_POL_2014_EDPFI_v01_M_WB","producers":[{"name":"Development Data Group","abbreviation":"DECDG","affiliation":"World Bank","role":"Study documentation"}],"prod_date":"2016-08-12","version_statement":{"version":"v01 (August 2016)"}},"study_desc":{"title_statement":{"idno":"POL_2014_EDPFI_v01_M","title":"Entrepreneurial Discovery Process Project 2014","sub_title":"Firm Interviews","alt_title":"EDPFI 2014"},"authoring_entity":[{"name":"Ministry of Economic Development, Poland","affiliation":""},{"name":"World Bank","affiliation":""}],"production_statement":{"funding_agencies":[{"name":"World Bank","abbreviation":"","role":""},{"name":"European Regional Development Fund","abbreviation":"","role":""}]},"distribution_statement":{"contact":[{"name":"Jerzy Toborowicz","affiliation":"World Bank","email":"jtoborowicz@worldbank.org","uri":""}],"depositor":[{"name":"Jerzy Toborowicz","abbreviation":"","affiliation":"World Bank"}]},"series_statement":{"series_name":"Enterprise Survey [en\/oth]"},"version_statement":{"version":"v01, edited, anonymized dataset for public distribution\n\nThe dataset comes from 511 interviews that World Bank experts conducted in 2014 and 2015 in 4 regions in Poland."},"study_info":{"abstract":"In collaboration with Poland\u2019s Ministry of Economic Development, the World Bank designed and tested a new approach - \"entrepreneurial discovery process (EDP)\" - to help the authorities shift from a top-down to a bottom-up innovation policy that engages the private sector, science, and public administration, as part of \"research and innovation smart specialization strategy-RIS3.\" The project should help Poland\u2019s government to more efficiently invest 10 billion euro into innovation by 2020, mostly funded by the European Union.\n\nThe EDP consisted of (i) face-to-face interviews with the top management of mostly small and medium-size enterprises, which help to understand the real drivers and constraints to enterprise innovation that are hard to detect through standard surveys; (ii) Smart Labs, which are a series of business-friendly, time-efficient workshops that help assess the innovation potential of a specific economic activity; (iii) innovation maps, which help tease out information about technological trends perceived by the private sector; and (iv) crowdsourcing, online surveys that reach enterprises that usually do not interact with the public sector.\n\nFirm-level interviews, documented here, are at the core of the EDP. Interviews aimed to identify key drivers for and constraints on small and medium-size enterprises innovation, identify the key attributes of companies that could benefit the most from public intervention, and take stock of key business and technological trends, as perceived by the companies.\n\nMore than 500 face-to-face in-depth interviews were conducted by World Bank experts with companies' top management and\/or owners during June 2014 - October 2015 in four regions of Poland: Dolnoslaskie, Zachodniopomorskie, Swietokrzyskie and Slaskie. Interviewed enterprises belonged to the 10 smart specialization areas selected by the Ministry of Economic Development as key priorities for Poland's innovation policy. The firms were selected using quota sampling method.","coll_dates":[{"start":"2014-06","end":"2015-10","cycle":""}],"nation":[{"name":"Poland","abbreviation":"POL"}],"geog_coverage":"Four out of 16 Polish regions: Dolnoslaskie, Zachodniopomorskie, Slaskie, Swietokrzyskie","analysis_unit":"- a firm","data_kind":"Sample survey data [ssd]","notes":"The scope of the study includes:\n- firm's economic potential\n- human capital\n- market position\n- growth constraints\n- innovation processes\n- innovation management\n- drivers of innovation\n- innovation sources\n- innovation constraints\n- technology usage\n- financial needs\n- relationship management\n- place in GVC","study_scope":"The scope of the study includes:\n- firm's economic potential\n- human capital\n- market position\n- growth constraints\n- innovation processes\n- innovation management\n- drivers of innovation\n- innovation sources\n- innovation constraints\n- technology usage\n- financial needs\n- relationship management\n- place in GVC"},"method":{"data_collection":{"data_collectors":[{"name":"Experts hired by the World Bank","abbreviation":"","affiliation":""},{"name":"Regional consultants","abbreviation":"","affiliation":""}],"sampling_procedure":"The sampling frame is defined as all enterprises belonging to the 10 smart specialization areas selected by the Ministry of Economic Development as key priorities for Poland's innovation policy. The key challenge related to the sampling criteria is that definitions of the smart specializations are rather generic; thus it is not possible to precisely describe the composition of the population to which the survey applies. Furthermore, even if some assumptions are made to determine eligibility, there are no preexisting public sources containing listings of innovative firms. As a result, the survey adopts a quota sampling method, which is a non-random sampling approach. That is, units are selected into a sample on the basis of pre-specified characteristics so that the total sample has the same distribution of characteristics assumed to exist in the population being studied. \n\nThe survey sample is not random also because of the following project requirements: \n1. It is focused largely on small and medium-size enterprises, in line with the request of the Ministry of Economic Development. Using stratified random sampling could have addressed the non-proportional distribution of the sample, but the distribution of companies in the smart specializations is not known. Therefore, the lack of a clear sampling frame does not allow this technique to be used.\n2. It aims to focus on companies with a potential to be innovative and excludes firms such as restaurants, retail stores and household service establishments.\n\nThe project included in the sample a mix of companies with diverse characteristics and features that are considered important in the context of the innovation policy. Thus, the following minimum quotas were targeted:\n1. Micro-enterprises (less than 10 employees) - 20 percent\n2. Small and medium-size enterprises (between 10 and 250 employees) - 75 percent\n3. Large enterprises (more than 250 employees) - 5 percent","coll_mode":"Face-to-face [f2f]","research_instrument":"The questionnaire had 100 questions (80 quantitative and 20 qualitative questions) based on a conceptual model of firm innovativeness. The questionnaire was modeled on a good international practice of enterprise and innovation surveys (such as the Eurostat\u2019s Community Innovation Survey or the EBRD\u2019s and World Bank\u2019s Business Environment and Enterprise Performance Survey (BEEPS)), but was extended to focus on more qualitative, contextual, and open-ended \"why\" questions.","coll_situation":"More than 500 interviews were carried out by 11 experts within the time span of the project. The regional consultants, who were trained during the project, performed additional 135 interviews. There was an approximately equal division of interviews across the four participating regions, with at least 100 done in each of them. The project's pilot phase took place from June 2014 till March 2015 and comprised about 160 interviews. This delivered preliminary results and led to the modification of the project approach in the remaining three regions.\n\nUnlike most surveys conducted by the national statistical office and international institutions, the interviews were conducted face to face with the company's top management and\/or owners. The interviews usually took about 2 to 2.5 hours and were based on a questionnaire with quantitative and qualitative questions. Each interview was summarized in a \u201cone pager\u201d by the interviewing expert. The experts separated the interviewed firms, based on their expert judgment and a number of key innovative attributes, into five categories: \"champions,\" \"emerging champions,\" \"sleeping beauties,\" \"steady state,\" and \"declining.\" At the end of each interview, the firm receives feedback from the expert. Data from each interview are aggregated and analyzed for policy insights.\n\nIdentification of firms that would meet the project's criteria and setting up interviews turned out to be a resource-intensive process. The calendar of meetings changed at a rapid pace and required a lot of flexibility on the side of the Bank's experts and regional consultants. It was also difficult to gather sufficient prior information about each company to ensure that the interview would meet the project's objective. The Bank used multiple sources of information to schedule interviews, including databases from business support institutions, marshal offices, and a proprietary firm dataset. These sources were helpful, although they had a limited number of firms that matched the project criteria and the 10 specializations selected for the project. For that reason, referrals from the interviewed companies for follow-up meetings with firms in the same value chain (customers, competitors, and suppliers) proved productive and are likely to be one of the main sources of information about potential candidates for interviews.","weight":"No weighting was used"}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"","required":"no","form_no":"","uri":""}],"cit_req":"Use of the dataset must be acknowledged using a citation which would include:\n- the Identification of the Primary Investigator\n- the title of the survey (including country, acronym and year of implementation)\n- the survey reference number\n- the source and date of download\n\nExample:\n \nPoland Ministry of Economic Development, World Bank. Poland Entrepreneurial Discovery Process Project 2014, Firm Interviews. Ref. POL_2014_EDPFI_v01_M. Dataset downloaded from [URL] on [date].","disclaimer":"This material was produced with support from the World Bank. 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