DOI: 10.71853/j5ka-1n42
title: Business Process Management Maturity of Organizations in Poland, 2023

description: <p><strong>General information</strong>:</p><p><br /></p><p>The dataset deposited in this repository addresses the research domain of Business Process Management (BPM) Maturity. It forms part of a broader research project examining BPM maturity, technological maturity, and organizational ambidexterity, with particular emphasis on the mechanisms through which ambidextrous strategies are achieved.</p><p>The repository contains survey research data used in the practitioner-oriented report “Dojrzałość procesowa organizacji w Polsce 2023”. It provides a complete empirical dataset covering BPM maturity and respondent-declared characteristics.</p>
description: <p><strong>Methodology</strong>:</p><p><br /></p><ul><li class="ql-align-justify"><strong>Method:</strong> Survey-based opinion research</li><li class="ql-align-justify"><strong>Date:</strong> 2022</li><li class="ql-align-justify"><strong>Technique:</strong> CAWI (Computer-Assisted Web Interviewing)</li><li class="ql-align-justify">Questionnaire distribution tool: MS FORMS (University of Gdansk server)</li><li class="ql-align-justify"><strong>Sampling technique</strong>: Non-random (non-probability). A non-probability sampling approach was applied, meaning that participation was limited to organizations that were willing and accessible. This sampling technique is commonly used in scientific research addressing, e.g. BPM maturity and related organizational phenomena. The limitations resulting from non-random sampling primarily concern the fact that the findings apply only to the studied sample and cannot be generalized to the entire population, such as all medium-sized and large organizations in Poland.</li><li class="ql-align-justify"><strong>Anonymous form:</strong> The study was conducted in an anonymous form, and respondents were explicitly informed about the anonymity of the research process. To ensure data quality and verify the correctness of data collection, unique identifiers (IDs) were used, and questionnaire completion was additionally confirmed by the respondents via email.</li><li class="ql-align-justify"><strong>Sample size:</strong> The repository contains raw data on organizational characteristics, including timestamps (start date and time, end date and time), collected from 820 respondents (Sheet 1), as well as data including respondent IDs, organizational attributes, and classification into maturity levels according to the adopted MPMM model (Sheet 2). Sheet 2 also contains columns with the analysis of criteria fulfillment and the classification into BPM maturity level (MPMM model). In the business-oriented report “Dojrzałość procesowa organizacji w Polsce 2023”, the analysis was limited to medium-sized and large organizations. It should be emphasized that organizational size and all other organizational characteristics were self-declared by the respondents. Organizational size was operationalized as the declared number of employees in the organization</li><li class="ql-align-justify"><strong>Channels of respondent recruitment and data verification:</strong> Respondents were recruited through multiple channels, including social media (direct correspondence and posts on LinkedIn, as well as direct correspondence on Facebook) and direct communication with organizations that had expressed willingness to participate in the study. In addition, students were involved in the recruitment process and contacted organizations to which they had direct access and which had agreed to take part in the research. The data verification mechanism was based on the use of unique respondent IDs, which were entered by respondents during questionnaire completion and subsequently verified based on formal confirmations (self-declarations or email confirmations provided by the respondents). In addition, responses were verified using questionnaire start and completion timestamps. Data concerning the start and end times of questionnaire completion were automatically generated by Microsoft Forms and were available for analysis only after data export. Furthermore, more than one access link to the same questionnaire was used in order to differentiate and identify specific respondent groups. The combined verification procedures ensured high data quality, enabled convenient identification of valid responses, and supported the reliability of the collected dataset.</li><li class="ql-align-justify"><strong>Note:</strong> The data file does not contain respondent IDs used for the verification of questionnaire completion by respondents, as they were removed to preserve the anonymous nature of the study.</li></ul>