| Literature DB >> 35800951 |
Wen Huang1, Ka Yin Chau2, Ip Yun Kit3, Naila Nureen4, Muhammad Irfan5,6,7, Azer Dilanchiev8.
Abstract
Digital green innovations are being implemented in manufacturing to help organizations achieve sustainability by adopting sustainable development practices (SDPC). However, little is known about the impact of the information management process (IMP) on organizations' digital green innovation. To address this gap, we devised a multidimensional framework based on the resource-based view (RBV) theory that serves as a basis for sculpting how the IMP captured and sustained organizational digital green innovation via SDPCs. 533 respondents from big and medium-sized manufacturing businesses in China were surveyed, and data were analyzed using the structural equation modeling (SEM) approach. The study makes numerous significant findings. Firstly, the SDPC's dimensions (environment, economic, and social) are considerably improved by the IMP' dimensions (acquisition, dissemination, and application). Secondly, SDPC's dimensions are critical for attaining organizations' digital green innovation. Thirdly, SDPCs' implementation mediates the linkage between the IMP and organizations' digital green innovation. Our findings suggest that investing in and implementing cutting-edge technology and sustainable practices are critical for long-term success. Still, soft issues, such as organizational information management, are equally critical in today's information-based economy. Finally, in light of the study findings, we present theoretical and managerial implications.Entities:
Keywords: China; digital green innovation; knowledge management process; structural equation modeling; sustainable development practices
Year: 2022 PMID: 35800951 PMCID: PMC9255555 DOI: 10.3389/fpsyg.2022.930138
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
FIGURE 1Research framework.
Statistical summary of the data.
| Variable | Observations | Items | Mean | SD | Coefficient of variation (CV) |
| IACQ | 533 | 5 | 3.307 | 0.356 | 0.108 |
| IDIS | 533 | 4 | 2.771 | 1.836 | 0.663 |
| IAPP | 533 | 5 | 3.324 | 0.487 | 0.147 |
| SENP | 533 | 6 | 3.518 | 0.807 | 0.229 |
| SECP | 533 | 7 | 2.603 | 0.994 | 0.382 |
| SSCP | 533 | 7 | 2.906 | 1.896 | 0.652 |
| CRGI | 533 | 4 | 2.470 | 0.600 | 0.243 |
Correlation, convergent, and discriminant validity findings.
| Variable | IACQ | IDIS | IAPP | SENP | SECP | SSCP | CRGI | AVE | MSV |
| IACQ |
| 0.505 | 0.114 | ||||||
| IDIS | 0.266 |
| 0.692 | 0.335 | |||||
| IAPP | 0.274 | 0.453 |
| 0.667 | 0.287 | ||||
| SENP | 0.337 | 0.357 | 0.536 |
| 0.645 | 0.287 | |||
| SECP | 0.288 | 0.213 | 0.146 | 0.341 | 0.845 | 0.715 | 0.116 | ||
| SSCP | 0.161 | 0.557 | 0.451 | 0.326 | 0.215 |
| 0.633 | 0.524 | |
| CRGI | 0.273 | 0.579 | 0.512 | 0.429 | 0.214 | 0.724 |
| 0.558 | 0.524 |
Bold values represent AVEs’s root square.
Factor loadings of measurements model.
| Variable | Items | Standard loadings | Cronbach-α | CR |
| Information acquisition (IACQ) | 0.904 | 0.803 | ||
| IACQ 1 | 0.787 | |||
| IACQ 2 | 0.816 | |||
| IACQ 3 | 0.899 | |||
| IACQ 4 | 0.864 | |||
| IACQ 5 | 0.856 | |||
| Information dissemination (IDIS) | 0.838 | 0.940 | ||
| IDIS 1 | 0.745 | |||
| IDIS 2 | 0.719 | |||
| IDIS 3 | 0.785 | |||
| IDIS 4 | 0.738 | |||
| Information application (IAPP) | 0.926 | 0.933 | ||
| IAPP 1 | 0.779 | |||
| IAPP 2 | 0.811 | |||
| IAPP 3 | 0.809 | |||
| IAPP 4 | 0.847 | |||
| IAPP 5 | 0.728 | |||
| Sustainable environmental practices (SENP) | 0.904 | 0.915 | ||
| SENP 1 | 0.825 | |||
| SENP 2 | 0.742 | |||
| SENP 3 | 0.750 | |||
| SENP 4 | 0.886 | |||
| SENP 5 | 0.903 | |||
| SENP 6 | 0.692 | |||
| Sustainable economic practices (SECP) | 0.934 | 0.926 | ||
| SECP 1 | 0.829 | |||
| SECP 2 | 0.900 | |||
| SECP 3 | 0.879 | |||
| SECP 4 | 0.898 | |||
| SECP 5 | 0.836 | |||
| SECP 6 | 0.738 | |||
| SECP 7 | 0.723 | |||
| Sustainable social practices (SSCP) | 0.923 | 0.896 | ||
| SSCP 1 | 0.716 | |||
| SSCP 2 | 0.868 | |||
| SSCP 3 | 0.818 | |||
| SSCP 4 | 0.877 | |||
| SSCP 5 | 0.797 | |||
| SSCP 6 | 0.818 | |||
| SSCP 7 | 0.812 | |||
| Corporate green innovation (CRGI) | 0.863 | 0.835 | ||
| CRGI 1 | 0.715 | |||
| CRGI 2 | 0.735 | |||
| CRGI 3 | 0.712 | |||
| CRGI 4 | 0.679 | |||
FIGURE 2Path diagram of structural equation modeling (SEM). ***p < 0.01, **p < 0.05, *p < 0.1.
Hypotheses’ findings.
| Hypotheses | Hypotheses paths | β-value | Result | |
| H1a | IACQ → SENP | 0.041 | 126.7 | Accepted |
| H1b | IACQ → SECP | 0.093 | 167.5 | Accepted |
| H1c | IACQ → SSCP | 0.163 | 220.4 | Rejected |
| H2a | IDIS → SENP | 0.086 | 154.4 | Accepted |
| H2b | IDIS → SECP | 0.291 | 329.5 | Rejected |
| H2c | IDIS → SSCP | 0.026 | 110.3 | Accepted |
| H3a | IAPP → SENP | 0.065 | 137.1 | Accepted |
| H3b | IAPP → SECP | 0.113 | 194.7 | Accepted |
| H3c | IAPP → SSCP | 0.310 | 357.5 | Accepted |
| H4a | SENP → CRGI | 0.019 | 103.6 | Accepted |
| H4b | SECP → CRGI | 0.137 | 201.8 | Accepted |
| H4c | SSCP → CRGI | 0.038 | 115.8 | Accepted |
| H5 | IMP → SDPC → CRGI | 0.167 | 224.5 | Accepted |
|
| ||||
| IACQ → CRGI | 0.193 | 2.897 | Accepted | |
| IDIS → CRGI | 0.128 | 3.187 | Accepted | |
| IAPP → CRGI | 0.152 | 4.351 | Accepted | |
***p < 0.01, **p < 0.05, *p < 0.1.