The Role of Digital Transformation, Corporate Culture, and Leadership in Enhancing Corporate Sustainable Performance in the Manufacturing Sector of China
Abstract
:1. Introduction
- What is the impact of digital transformation, corporate culture, and transformational leadership on the sustainability performance of Chinese manufacturing companies?
- How does the ability to innovate affect the connection between digital transformation, corporate culture, transformational leadership, and sustainable performance in China’s manufacturing sector?
- Does the level of environmental dynamism have a moderating impact on the relationship between a company’s ability to innovate and its sustainable performance in China’s manufacturing sector?
2. Literature Review
2.1. Corporate Sustainable Performance and Corporate Culture
2.2. Corporate Sustainable Performance and Digital Transformation
2.3. Corporate Sustainable Performance and Transformational Leadership
2.4. Mediating Role of Innovation Capabilities
2.4.1. Corporate Culture and Innovation Capabilities
2.4.2. Digital Transformation and Innovation Capabilities
2.4.3. Transformational Leadership and Innovation Capabilities
2.4.4. Corporate Sustainable Performance and Innovation Capabilities
2.5. Moderating Role of Environmental Dynamism
3. Research Methodology
3.1. Research Approach
3.2. Questionnaire Development
3.3. Sampling and Data Collection
3.4. Data Analysis and Interpretation
3.5. Conceptual Framework
4. Data Analysis
4.1. Demographic Data
4.2. Convergent Validity
- Cronbach’s Alpha: This internal consistency measure shows the relationship of the set of items as a whole. It varies from 0to 1, with higher values representing stronger internal consistency. Values over 0.7 are usually regarded as acceptable [177].
- Composite Reliability (rho_a and rho_c): This is the measurement of the validity of a latent variable. LikeCronbach’s Alpha, it varies from 0 to 1, with higher scores reflecting greater consistency. A value above 0.7 is commonly considered satisfactory [178].
- Average Variance Extracted (AVE): AVE determines how much variance captured by a latent variable from its indicators is due to measurements, as opposed to that due to measurement error. A positive value (0.5 or greater) signifies that the construct accounts for over 50% of the variability observed in its indicators, on average [179].
- Cronbach’s Alpha: 0.919, indicating excellent internal consistency.
- Composite Reliability: Both rho_a (0.929) and rho_c (0.936) are well above the 0.7 threshold, indicating a high reliability.
- AVE: 0.677, exceeding the 0.5 threshold, showing that the corporate culture construct accounts for most of the variance in the indicators.
- Cronbach’s Alpha: 0.898, showing a high internal consistency.
- Composite Reliability: Both rho_a (0.902) and rho_c (0.921) are high, indicating reliable measurements.
- AVE: 0.627, above the 0.5 threshold, suggests a good convergent validity.
- Cronbach’s Alpha: 0.939, indicating an excellent internal consistency.
- Composite Reliability: Both rho_a (0.949) and rho_c (0.950) are very high.
- AVE: 0.733, well above the threshold, indicating a strong convergent validity.
- Cronbach’s Alpha: 0.948, showing a very high internal consistency.
- Composite Reliability: rho_a (0.962) and rho_c (0.959) are exceptionally high.
- AVE: 0.795, indicating that the construct explains a large portion of the variance in the indicators.
- Cronbach’s Alpha: 0.904, indicating a high internal consistency.
- Composite Reliability: rho_a (0.953) is high, but rho_c (0.910) is slightly lower, yet still acceptable.
- AVE: 0.591, above the threshold, shows good convergent validity.
- Cronbach’s Alpha: 0.823, indicating a good internal consistency.
- Composite Reliability: rho_a (0.829) and rho_c (0.868) are both above the threshold, suggesting reliability.
- AVE: 0.485, slightly below the desired threshold of 0.5, indicating that this construct might not explain as much variance in its indicators as desired.
4.3. Discriminant Validity
4.3.1. Fornel and Lacker
4.3.2. HTMT
4.4. Model Fitness
4.5. Hypothesis Testing
4.5.1. Direct Relationship
4.5.2. Mediation
4.5.3. Moderation
5. Discussion, Conclusions, and Limitations
5.1. Discussion
5.2. Conclusions
5.3. Implications
5.4. Limitations and Future Research
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Respondents Description | Frequency | Percentage |
---|---|---|
Gender | ||
Male | 212 | 60.6% |
Female | 138 | 39.4% |
Age of the Respondents | ||
20–30 | 27 | 7.7% |
30–35 | 137 | 39.1% |
35–40 | 140 | 40% |
40 and above | 46 | 13.1% |
Qualification | ||
Bachelor | 102 | 29.1% |
Master | 202 | 57.7% |
PhD | 46 | 13.1% |
Position | ||
Manager | 97 | 27.7% |
Leader | 45 | 12.9% |
Employee | 208 | 59.4% |
Cronbach’s Alpha | Composite Reliability (rho_a) | Composite Reliability (rho_c) | Average Variance Extracted (AVE) | |
---|---|---|---|---|
CC- | 0.919 | 0.929 | 0.936 | 0.677 |
CS-DV- | 0.898 | 0.902 | 0.921 | 0.627 |
DT- | 0.939 | 0.949 | 0.950 | 0.733 |
ED-MOD- | 0.948 | 0.962 | 0.959 | 0.795 |
IC-MED- | 0.904 | 0.953 | 0.910 | 0.591 |
TL- | 0.823 | 0.829 | 0.868 | 0.485 |
Fornell and Lacker Criteria | CC- | CS-DV- | DT- | ED-MOD- | IC-MED | TL- |
---|---|---|---|---|---|---|
CC- | 0.823 | |||||
CS-DV- | 0.574 | 0.792 | ||||
DT- | 0.866 | 0.613 | 0.856 | |||
ED-MOD- | 0.110 | 0.235 | 0.146 | 0.892 | ||
IC-MED- | 0.285 | 0.501 | 0.325 | 0.512 | 0.769 | |
TL- | 0.583 | 0.725 | 0.542 | 0.169 | 0.303 | 0.697 |
HTMT Criteria | CC- | CS-DV- | DT- | ED-MOD- | IC-MED | TL- |
---|---|---|---|---|---|---|
CS-DV- | 0.627 | |||||
DT- | 0.928 | 0.652 | ||||
ED-MOD- | 0.115 | 0.250 | 0.151 | |||
IC-MED- | 0.239 | 0.443 | 0.274 | 0.605 | ||
TL- | 0.735 | 0.817 | 0.634 | 0.181 | 0.268 | |
ED-MOD- × IC-MED- | 0.022 | 0.148 | 0.044 | 0.097 | 0.098 | 0.098 |
Model Fit Summary | Saturated Model | Estimated Model |
---|---|---|
SRMR | 0.118 | 0.143 |
d_ULS | 11.994 | 17.572 |
d_G | 5.520 | 5.596 |
Chi-square | 9067.137 | 9217.817 |
NFI | 0.560 | 0.552 |
Relationship | Original Sample (O) | Standard Deviation | T Statistics | p Values |
---|---|---|---|---|
H1: CC- -> CS-DV- | 0.019 | 0.031 | 4.635 | 0.000 |
H2: DT- -> CS-DV- | 0.330 | 0.054 | 6.139 | 0.000 |
H3: TL- -> IC-MED- | 0.191 | 0.065 | 2.943 | 0.003 |
H7: CC- -> IC-MED- | 0.070 | 0.110 | 4.635 | 0.007 |
H8: DT- -> IC-MED- | 0.282 | 0.105 | 2.685 | 0.007 |
H9: TL- -> CS-DV- | 0.559 | 0.049 | 11.508 | 0.000 |
H10: IC-MED- -> CS-DV- | 0.276 | 0.042 | 6.529 | 0.000 |
Relationship | Original Sample (O) | Sample Mean (M) | STDEV | T Statistics | p Values |
---|---|---|---|---|---|
H4: TL- -> IC-MED- -> CS-DV- | 0.053 | 0.053 | 0.020 | 2.685 | 0.007 |
H5: DT- -> IC-MED- -> CS-DV- | 0.078 | 0.077 | 0.030 | 2.553 | 0.011 |
H6: CC- -> IC-MED- -> CS-DV- | -0.019 | -0.018 | 0.031 | 0.635 | 0.525 |
Relationship | Original Sample (O) | Sample Mean (M) | STDEV | T Statistics | p Values |
---|---|---|---|---|---|
H11: ED-MOD- × IC-MED- -> CS-DV- | 0.071 | 0.070 | 0.037 | 2.934 | 0.000 |
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Asif, M.; Yang, L.; Hashim, M. The Role of Digital Transformation, Corporate Culture, and Leadership in Enhancing Corporate Sustainable Performance in the Manufacturing Sector of China. Sustainability 2024, 16, 2651. https://doi.org/10.3390/su16072651
Asif M, Yang L, Hashim M. The Role of Digital Transformation, Corporate Culture, and Leadership in Enhancing Corporate Sustainable Performance in the Manufacturing Sector of China. Sustainability. 2024; 16(7):2651. https://doi.org/10.3390/su16072651
Chicago/Turabian StyleAsif, Muhammad, Liu Yang, and Muhammad Hashim. 2024. "The Role of Digital Transformation, Corporate Culture, and Leadership in Enhancing Corporate Sustainable Performance in the Manufacturing Sector of China" Sustainability 16, no. 7: 2651. https://doi.org/10.3390/su16072651
APA StyleAsif, M., Yang, L., & Hashim, M. (2024). The Role of Digital Transformation, Corporate Culture, and Leadership in Enhancing Corporate Sustainable Performance in the Manufacturing Sector of China. Sustainability, 16(7), 2651. https://doi.org/10.3390/su16072651