Abstract:
Purpose: The study examined the effect of information sharing, external enablers, and internal enablers on sustainable freight transportation with the moderating role of green information systems and SC ambidexterity in the manufacturing sector of Pakistan. Methodology: The study has gathered data from the SC professionals and executives of the manufacturing firms operating in Karachi city of Pakistan.327 responses were collected using a self-administrated five-point questionnaire and survey method. The non-probability purposive sampling technique has been used to select respondents from the sample population. The study has used PLS-SEM for data analysis, including a measurement model for data quality assessment and a structural model for hypothesis testing. Findings: The study concluded that EE insignificantly affects SFT. Similarly, IE also insignificantly affects SFT. Whereas IS significantly affects SFT. The finding showed that GIS significantly moderates the effect of EE on SFT, or GIS also significantly moderates the effect of IS on SFT. However, GIS insignificantly moderates the effect of IE on SFT. Moreover, the study found that SCA insignificantly moderates the effect of EE on SFT. Also, SCA significantly moderates the effect of IS and IE on SFT. Likewise, SSODC significantly moderates the moderating effect of SCA between EE and SFT. In a similar vein, SSODC also significantly moderates the moderating effect of GIS between IE and SFT. Lastly, findings showed that SSODC insignificantly moderates the moderating effect of SCA between IS and SFT. Implications: The findings of this study could be used to enhance management practices and offer guidance for GSCM techniques. Companies should acquire the capacities and competencies necessary to integrate creative, sustainable business practices in specific manufacturing techniques, features, functionalities, or evolution processes. Companies should reduce transportation emissions since doing so can lead to obtaining supplies from suppliers in the area, reducing pollution from logistics and fulfillment.
