Table 1

Description of variables used in the study

VariablesTypeDescriptionReference year
newemployee_knowlOrdinal factor variableDid the firm hire new employees who bring in know-how from other firms2017
new_tech_acqBinary VariableDid the firm purchase new machines that are based on totally new technologies2017
cost_employ_train17Ordinal factor variableHow much did the firm spend on further education and training of current employees in 2015 and 20162017
graduate_employee17Ordinal factor variableShare of employees in percentage holding a university degree in 2015 and 20162017
SectorOrdinal factor variableClassification of participating firms in 21 economic sectors2019
export_percOrdinal factor variablePercentage of revenue coming from exports in 20162016–2018
public_fundingBinary VariableDid the firm receive public funding between 2014 and 20162016–2018
firm_sizeOrdinal factor variableFirm size
>50
50–249
≤250
2019
Sales Sales volume in millions2018
AdoptedRL17Binary VariableIf firms adopted reverse logistics between 2014 and 20162014–2016
DigitalizationCountCount variableGenerated by merging multiple variables to report on all digitalization activities performed by the firm (see: Section 4)2016–2018
CollaborationCountCount variableGenerated by merging multiple variables to report on all collaboration activities performed by the firm (see: Section 4)2016–2018

Source(s): Table by authors

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