Research procedure with four main steps
| Step | Task details | Result |
|---|---|---|
| Sampling | ||
| 1. Scope | ||
| 1a Formulation of the query | Database: Scopus (date) Search phrase: ‘serviti*ation’ Scope: Title, abstract or keywords Limitations: Article or research; Published or accepted-in-press; Subject area: Business Language: English | 381 articles |
| 1b Gathering articles | Quality check (exclusion of predatory publications); availability check and obtaining full-text documents | 366 articles |
| 2. Screening | ||
| 2a Text-mining | Running a Python-based analysis to extract the relevant excerpts from the 366 full-texts | Servitization: 101 excerpts Performance: 108 excerpts |
| 2b Screening | Manual analysis of the 209 excerpts to identify relevant articles | 82 articles |
| 2c Forming the final sample | Manual analysis of 82 full-text articles to identify articles performing quantitative analysis that establishes effects between servitization and performance | 36 articles included; 46 articles excluded |
| Analysis | ||
| 3. Framework design | ||
| 3a Reviewing and identification | Manual extraction of the indicators from 36 full-text articles | 88 servitization level indicators; 44 performance indicators |
| 3b Synthesis and organization | Iterative selection and clustering of the indicators (88 + 44); developing abstraction levels between indicators, constructs and concepts | The framework |
| 4. Configurational analysis | ||
| 4a Analysis of the effects | Analysis of the evidence concerning the relationship between servitization and its performance effects | Discussion of the relationships and their positive or negative impact |
| 4b Shaping theory | Establishing the higher-level patterns among the identified relationships by grouping similar evidence and fitting elements together | Set of theoretical propositions grounded on the evidence from pre-existing servitization research |
| Step | Task details | Result |
|---|---|---|
| 1. Scope | ||
| 1a Formulation of the query | Database: Scopus (date) | 381 articles |
| 1b Gathering articles | Quality check (exclusion of predatory publications); availability check and obtaining full-text documents | 366 articles |
| 2. Screening | ||
| 2a Text-mining | Running a Python-based analysis to extract the relevant excerpts from the 366 full-texts | Servitization: 101 excerpts |
| 2b Screening | Manual analysis of the 209 excerpts to identify relevant articles | 82 articles |
| 2c Forming the final sample | Manual analysis of 82 full-text articles to identify articles performing quantitative analysis that establishes effects between servitization and performance | 36 articles included; 46 articles excluded |
| 3. Framework design | ||
| 3a Reviewing and identification | Manual extraction of the indicators from 36 full-text articles | 88 servitization level indicators; 44 performance indicators |
| 3b Synthesis and organization | Iterative selection and clustering of the indicators (88 + 44); developing abstraction levels between indicators, constructs and concepts | The framework |
| 4. Configurational analysis | ||
| 4a Analysis of the effects | Analysis of the evidence concerning the relationship between servitization and its performance effects | Discussion of the relationships and their positive or negative impact |
| 4b Shaping theory | Establishing the higher-level patterns among the identified relationships by grouping similar evidence and fitting elements together | Set of theoretical propositions grounded on the evidence from pre-existing servitization research |
Sharing content requires targeting cookies to be enabled. Please update your cookie preferences to use this feature.