Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386568394> ?p ?o ?g. }
Showing items 1 to 52 of
52
with 100 items per page.
- W4386568394 endingPage "28" @default.
- W4386568394 startingPage "15" @default.
- W4386568394 abstract "This chapter outlines how the comprehensive North American and European datasets were collected and explains the ensuing data cleaning process outlining three alternative methods applied to deal with missing values, the complete case, the multiple imputation (MI), and the K-nearest neighbor (KNN) methods. The complete case method is the conventional approach adopted in many mainstream management studies. We further discuss the implied assumption underlying use of this technique, which is rarely assessed, or tested in practice and explain the alternative imputation approaches in detail. Use of North American data is the norm but we also collected a European dataset, which is rarely done to enable subsequent comparative analysis between these geographical regions. We introduce the structure of firms organized within different industry classification schemes for use in the ensuing comparative analyses and provide base information on missing values in the original and cleaned datasets. The calculated performance indicators derived from the sampled data are defined and presented. We show how the three alternative approaches considered to deal with missing values have significantly different effects on the calculated performance measures in terms of extreme estimate ranges and mean performance values." @default.
- W4386568394 created "2023-09-10" @default.
- W4386568394 creator A5000209972 @default.
- W4386568394 date "2023-09-29" @default.
- W4386568394 modified "2023-10-16" @default.
- W4386568394 title "Collecting the Data*" @default.
- W4386568394 doi "https://doi.org/10.1108/978-1-83797-074-220231002" @default.
- W4386568394 hasPublicationYear "2023" @default.
- W4386568394 type Work @default.
- W4386568394 citedByCount "0" @default.
- W4386568394 crossrefType "book-chapter" @default.
- W4386568394 hasAuthorship W4386568394A5000209972 @default.
- W4386568394 hasConcept C119857082 @default.
- W4386568394 hasConcept C124101348 @default.
- W4386568394 hasConcept C149782125 @default.
- W4386568394 hasConcept C17744445 @default.
- W4386568394 hasConcept C199539241 @default.
- W4386568394 hasConcept C2522767166 @default.
- W4386568394 hasConcept C2777617010 @default.
- W4386568394 hasConcept C33923547 @default.
- W4386568394 hasConcept C41008148 @default.
- W4386568394 hasConcept C58041806 @default.
- W4386568394 hasConcept C9357733 @default.
- W4386568394 hasConceptScore W4386568394C119857082 @default.
- W4386568394 hasConceptScore W4386568394C124101348 @default.
- W4386568394 hasConceptScore W4386568394C149782125 @default.
- W4386568394 hasConceptScore W4386568394C17744445 @default.
- W4386568394 hasConceptScore W4386568394C199539241 @default.
- W4386568394 hasConceptScore W4386568394C2522767166 @default.
- W4386568394 hasConceptScore W4386568394C2777617010 @default.
- W4386568394 hasConceptScore W4386568394C33923547 @default.
- W4386568394 hasConceptScore W4386568394C41008148 @default.
- W4386568394 hasConceptScore W4386568394C58041806 @default.
- W4386568394 hasConceptScore W4386568394C9357733 @default.
- W4386568394 hasLocation W43865683941 @default.
- W4386568394 hasOpenAccess W4386568394 @default.
- W4386568394 hasPrimaryLocation W43865683941 @default.
- W4386568394 hasRelatedWork W1513289763 @default.
- W4386568394 hasRelatedWork W1973721774 @default.
- W4386568394 hasRelatedWork W2316243772 @default.
- W4386568394 hasRelatedWork W2541565311 @default.
- W4386568394 hasRelatedWork W2751555317 @default.
- W4386568394 hasRelatedWork W2784019465 @default.
- W4386568394 hasRelatedWork W2900766238 @default.
- W4386568394 hasRelatedWork W3049453136 @default.
- W4386568394 hasRelatedWork W569810835 @default.
- W4386568394 hasRelatedWork W2112497756 @default.
- W4386568394 isParatext "false" @default.
- W4386568394 isRetracted "false" @default.
- W4386568394 workType "book-chapter" @default.