TY - JOUR
T1 - The interplay effects of digital technologies, green integration, and green innovation on food supply chain sustainable performance
T2 - An organizational information processing theory perspective
AU - Yadav, Sanjeev
AU - Samadhiya, Ashutosh
AU - Kumar, Anil
AU - Luthra, Sunil
AU - Kumar, Vikas
AU - Garza-Reyes, Jose Arturo
AU - Upadhyay, Arvind
N1 - Publisher Copyright:
© 2024 Elsevier Ltd
PY - 2024/5/17
Y1 - 2024/5/17
N2 - Green integration (GIT) and green innovation (GIO) in food supply chains (FSCs) have the potential to attain sustainability with the facilitation of digital technologies (DTs). Nevertheless, few studies have been conducted regarding the effectiveness of DTs and GIT in determining GIO and sustained FSC. Furthermore, an unsustainable food supply chain is a globally recognised problem that needs immediate, multidimensional holistic measures. Therefore, the present study tests the interplay effects of GIT, GIO, and DTs in FSC sustainable performance (FSCSP) under the strategic configuration for information-processing fit, i.e., organizational information processing theory (OIPT) perspective. A combined approach of structural equation modelling (SEM) and artificial neural network (ANN) was used to examine the collected responses from different related industries and validate the robustness of the proposed hypothesis through ANN. The findings demonstrate that the usage of DTs has a favourable impact on GIO and GIT. Furthermore, GI has a positive influence on GIO. Finally, both GIO and GI have a positive impact on FSCSP. Theoretically, under the strategic alignment for information-processing fit, the study’s findings suggest that GIT and GIO improve their FSC strategies and practically keep the FSC ahead of the competition for the long haul by ensuring sustainability. It is clear from the results of this research that practitioners should support more DTs to promote GIT, GIO, and FSCSP. This research fills a significant gap in the literature by analyzing the unexplored connections across the FSCSP, GIT, GIO, and DTs as facilitators in the context of sustainability.
AB - Green integration (GIT) and green innovation (GIO) in food supply chains (FSCs) have the potential to attain sustainability with the facilitation of digital technologies (DTs). Nevertheless, few studies have been conducted regarding the effectiveness of DTs and GIT in determining GIO and sustained FSC. Furthermore, an unsustainable food supply chain is a globally recognised problem that needs immediate, multidimensional holistic measures. Therefore, the present study tests the interplay effects of GIT, GIO, and DTs in FSC sustainable performance (FSCSP) under the strategic configuration for information-processing fit, i.e., organizational information processing theory (OIPT) perspective. A combined approach of structural equation modelling (SEM) and artificial neural network (ANN) was used to examine the collected responses from different related industries and validate the robustness of the proposed hypothesis through ANN. The findings demonstrate that the usage of DTs has a favourable impact on GIO and GIT. Furthermore, GI has a positive influence on GIO. Finally, both GIO and GI have a positive impact on FSCSP. Theoretically, under the strategic alignment for information-processing fit, the study’s findings suggest that GIT and GIO improve their FSC strategies and practically keep the FSC ahead of the competition for the long haul by ensuring sustainability. It is clear from the results of this research that practitioners should support more DTs to promote GIT, GIO, and FSCSP. This research fills a significant gap in the literature by analyzing the unexplored connections across the FSCSP, GIT, GIO, and DTs as facilitators in the context of sustainability.
KW - Digital Technologies
KW - Green Innovation
KW - Food supply chain
KW - Sustainable performance
KW - Artificial Neural Network
UR - http://www.scopus.com/inward/record.url?scp=85193292785&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85193292785&partnerID=8YFLogxK
UR - https://www.open-access.bcu.ac.uk/15524/
U2 - 10.1016/j.techsoc.2024.102585
DO - 10.1016/j.techsoc.2024.102585
M3 - Article
AN - SCOPUS:85193292785
SN - 0160-791X
VL - 77
JO - Technology in Society
JF - Technology in Society
M1 - 102585
ER -