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The impact of organizational learning on Polish SME market performance

Open Access
|Jun 2023

Figures & Tables

Descriptive statistics for the scale of organizational commitment to learning (“pre-COVID-19” sample)

ItemNMeanStd. deviationSkewnessKurtosis
StatisticStatisticStatisticStatisticStd. errorStatisticStd. error
The sense around here is that employee learning is an investment, not an expense2384.911.590−0.5850.158−0.2390.314
Learning in my organization is seen as a key commodity necessary to guarantee organizational survival2384.871.562−0.6060.158−0.0800.314
In our corporate culture, the employees’ learning is seen as very important2384.991.566−0.6380.158−0.1090.314
Commitment to learning23814.774.516−0.6440.1580.0130.314
Valid N (listwise)238

Descriptive statistics for measures of market performance (“COVID-19” sample)

ItemNMeanStd. deviationSkewnessKurtosis
StatisticStatisticStatisticStatisticStd. errorStatisticStd. error
Financial results in 2020 (estimated)2193.360.945−1.0420.1640.6850.327
Sales dynamics in 2020 (estimated) compared to 20192192.990.9950.5250.164−0.6020.327
Financial results 2019–20202197.051.755−0.9380.1640.2560.327
Sales dynamics 2018–20202196.691.8080.2370.164−0.7460.327
Valid N (listwise)219

Correlations between measures of market performance and commitment to learning (“COVID-19” sample, after removal of outliers)

Item Commitment to learning
Financial results in 2020 (6 outliers removed)Pearson correlation0.181*
Sig. (two tailed)0.008
N213
Sales dynamics in 2020 compared with 2019 (10 outliers removed)Pearson correlation0.162**
Sig. (two tailed)0.019
N209
Financial results during 2019–2020 (7 outliers removed)Pearson correlation0.152**
Sig. (two tailed)0.027
N212
Sales dynamics during 2018–2020 (13 outliers removed)Pearson correlation0.142**
Sig. (two tailed)0.042
N206

Correlations between three measures of OL (“pre-COVID-19” sample)

Characteristics Commitment to learningFinancing (or not) employees’ training
Commitment to learningPearson correlation10.392**
Sig. (two tailed) 0.000
N238238
Financing (or not) employees’ trainingPearson correlation0.392**1
Sig. (two tailed)0.000
N238240
Diversity of informationPearson correlation0.245**0.193**
sourcesSig. (two tailed)0.0000.003
N238240

The number of types of information sources per company (“pre-COVID-19” sample)

Item FrequencyPercentValid percent
Valid0 – no information from outside sources11849.249.2
1 - information from one outside source9037.537.5
2 - information from two outside sources2510.410.4
3 - information from three outside sources72.92.9
Total240100.0100.0

Analysis of variance for sales dynamics in 2018 compared with 2017 (“pre-COVID-19” sample) Tests of between-subjects effects Dependent variable: Sales dynamics in 2018 compared with 2017

SourceType III sum of squaresdfMean squareFSig.
Corrected model14.851a62.4753.7880.001
Intercept202.6671202.667310.1280.000
Commitment to learning0.69810.6981.0670.303
Financing of trainings0.00210.0020.0030.960
Diversity of information sources5.60815.6088.5810.004
Medium-sized firms vs. small-sized firms0.08610.0860.1320.717
Exporters vs. non-exporters3.46413.4645.3010.022
Firm size * Exp. vs. non-exp. interaction0.31910.3190.4880.485
Error147.6902260.653
Total3,456.000233
Corrected total162.541232

Answers to a question related to financing of employee training (“pre-COVID-19” sample)

Item FrequencyPercentValid percent
ValidNo financing9037.537.5
Covering a minority of costs218.88.8
Covering most of the costs4820.020.0
Full financing8133.833.8
Total240100.0100.0

Descriptive statistics for the scale of organizational commitment to learning (“COVID-19” sample)

ItemNMeanStd. deviationSkewnessKurtosis
StatisticStatisticStatisticStatisticStd. errorStatisticStd. error
The sense around here is that employee learning is an investment, not an expense2195.130.752−0.1570.164−0.7130.327
Learning in my organization is seen as a key commodity necessary to guarantee organizational survival2195.110.736−0.0440.164−0.4500.327
In our corporate culture, the employees’ learning is seen as very important2195.420.870−0.2010.164−0.5700.327
Commitment to learning21915.662.214−0.2850.164−0.4540.327
Valid N (listwise)219

Descriptive statistics for measures of market performance (“pre-COVID-19” sample)

ItemNMeanStd. deviationSkewnessKurtosis
StatisticStatisticStatisticStatisticStd. errorStatisticStd. error
Financial results in 20182403.920.782−0.5930.1570.5270.313
Sales dynamics in 2018 compared to 20172403.710.881−0.1340.157−0.5600.313
Financial results 2017–20182407.821.488−0.3800.1570.0110.313
Sales dynamics 2016–20182407.411.634−0.0790.157−0.3730.313
Perception of success compared to competitors2404.370.9800.9560.1572.2520.313
Valid N (listwise)240

Correlations between measures of market performance and measures of OL (“pre-COVID-19” sample)

Item Commitment to learningFinancing (or not) employees’ trainingDiversity of information sources
Sales dynamics in 2018 compared to 2017 (5 outliers removed)Pearson correlation0.137*0.0810.239**
Sig. (two tailed)0.0360.2190.000
N233235235
Sales dynamics 2016–2018 (4 outliers removed)Pearson correlation0.204**0.136*0.299**
Sig. (two tailed)0.0020.0360.000
N234236236
Perception of success compared to competitors (4 outliers removed)Pearson correlation0.237**0.155*0.244**
Sig. (two tailed)0.0000.0180.000
N233235235

Analysis of variance for sales dynamics during 2016–2018 (“pre-COVID-19” sample; after removal of four outliers) Tests of between-subjects effects Dependent variable: Sales dynamics during 2016–2018 (after removal of four outliers)

SourceType III sum of squaresdfMean squareFSig.
Corrected model48.736a68.1235.3670.000
Intercept862.5211862.521569.9220.000
Commitment to learning5.72115.7213.7800.053
Financing of trainings0.30110.3010.1990.656
Diversity of information sources20.628120.62813.6300.000
Medium-sized firms vs. small-sized firms0.97410.9740.6440.423
Exporters vs. non-exporters0.63610.6360.4200.517
Firm size * Exp. vs. non-exp. interaction4.21814.2182.7870.096
Error343.5422271.513
Total15,577.000234
Corrected total392.278233

Analysis of variance for sales dynamics in 2018 compared with 2017 (“COVID-19” sample; after removal of six outliers) Tests of between-subjects effects Dependent variable: Estimated financial results in 2020 (after removal of six outliers)

SourceType III sum of squaresdfMean squareFSig.
Corrected model30,258a56,0529,6460.000
Intercept34,265134,26554,6180.000
Balance of COVID-19 consequences6,05716,0579,6540.002
Commitment to learning1,14111,1411,8190.179
Medium-sized firms vs. small-sized firms0.03910.0390.0620.803
Exporters vs. non-exporters9,94719,94715,8550.000
Firm size * Exp. vs. non-exp. interaction3,58213,5825,7100.018
Error129,8642070.627
Total2,662,000213
Corrected total160,122212

Analysis of variance for evaluation of success compared with competitors (“pre-COVID-19” sample; after removal of four outliers) Tests of between-subjects effects Dependent variable: Perception of success compared with competitors (after removal of four outliers)

SourceType III sum of squaresdfMean squareFSig.
Corrected model20.234a63.3724.6460.000
Intercept219.8681219.868302.9450.000
Commitment to learning5.27815.2787.2720.008
Financing of trainings0.28610.2860.3950.531
Diversity of information sources5.51015.5107.5920.006
Medium-sized firms vs. small-sized firms0.43710.4370.6020.438
Exporters vs. non-exporters0.19710.1970.2720.603
Firm size * Exp. vs. non-exp. Interaction1.42711.4271.9670.162
Error164.0242260.726
Total4,632.000233
Corrected total184.258232
DOI: https://doi.org/10.2478/ijme-2023-0003 | Journal eISSN: 2543-5361 | Journal ISSN: 2299-9701
Language: English
Page range: 137 - 149
Submitted on: Jul 12, 2022
Accepted on: Jan 21, 2023
Published on: Jun 30, 2023
Published by: Warsaw School of Economics
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2023 Ewa Baranowska-Prokop, Tomasz Sikora, published by Warsaw School of Economics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.