TY - JOUR
T1 - Digital transformation using industry 4.0 technology by food and beverage companies in post COVID-19 period
T2 - from DCV and IDT perspective
AU - Chatterjee, Sheshadri
AU - Chaudhuri, Ranjan
AU - Vrontis, Demetris
AU - Galati, Antonino
N1 - Publisher Copyright:
© 2022, Emerald Publishing Limited.
PY - 2022
Y1 - 2022
N2 - Purpose: This study aims to understand the influence of digital transformation, using Industry 4.0 technology, on food and beverage companies in the post-COVID-19 period. Design/methodology/approach: To achieve the aim of this study, the authors have used innovation diffusion theory (IDT), dynamic capability view (DCV) theory and relevant literature, to develop a conceptual model. For the data, we surveyed 14, different sized food and beverage companies in India and the authors took inputs from 312 respondents at those companies to validate the conceptual model using the PLS-SEM approach. Findings: The results from this study suggest that there is a considerable appetite for food and beverage companies to use Industry 4.0 technologies, as a part of their digital transformation journey in the post-COVID-19 scenario. Practical implications: Food and beverage companies are going through a digital transformation process, which has been accelerated after the COVID-19 pandemic. Managers and leaders of the food and beverage companies need to support activities to adopt Industry 4.0 technologies. Moreover, the leaders should sponsor various readiness and training programs so that their employees successfully adopt these modern technologies. Originality/value: This is a primary study on food and beverage companies that are using Industry 4.0 technologies or are in the process of digital transformation. The usage of both IDT and DCV to develop the unique conceptual model is an important contribution to the body of knowledge. Moreover, the proposed model has a high explanatory power, which makes the model effective.
AB - Purpose: This study aims to understand the influence of digital transformation, using Industry 4.0 technology, on food and beverage companies in the post-COVID-19 period. Design/methodology/approach: To achieve the aim of this study, the authors have used innovation diffusion theory (IDT), dynamic capability view (DCV) theory and relevant literature, to develop a conceptual model. For the data, we surveyed 14, different sized food and beverage companies in India and the authors took inputs from 312 respondents at those companies to validate the conceptual model using the PLS-SEM approach. Findings: The results from this study suggest that there is a considerable appetite for food and beverage companies to use Industry 4.0 technologies, as a part of their digital transformation journey in the post-COVID-19 scenario. Practical implications: Food and beverage companies are going through a digital transformation process, which has been accelerated after the COVID-19 pandemic. Managers and leaders of the food and beverage companies need to support activities to adopt Industry 4.0 technologies. Moreover, the leaders should sponsor various readiness and training programs so that their employees successfully adopt these modern technologies. Originality/value: This is a primary study on food and beverage companies that are using Industry 4.0 technologies or are in the process of digital transformation. The usage of both IDT and DCV to develop the unique conceptual model is an important contribution to the body of knowledge. Moreover, the proposed model has a high explanatory power, which makes the model effective.
KW - COVID-19 pandemic
KW - DCV
KW - Digital transformation
KW - Food and beverage companies
KW - IDT
KW - Industry 4.0
UR - http://www.scopus.com/inward/record.url?scp=85144185858&partnerID=8YFLogxK
U2 - 10.1108/EJIM-07-2022-0374
DO - 10.1108/EJIM-07-2022-0374
M3 - Article
AN - SCOPUS:85144185858
SN - 1460-1060
JO - European Journal of Innovation Management
JF - European Journal of Innovation Management
ER -