PurposeThe aim of this study was to examine how manufacturing digitalization can be leveraged to promote green innovation in the digital era by investigating the effects of manufacturing digitalization on green process innovation, and thus firm performance. The authors also explored how the role of manufacturing digitalization varies with horizontal information sharing, vertical bottom-up learning and technological modularization.Design/methodology/approachFive hypotheses were examined by performing regression analyses on survey data from 334 manufacturing firms in China.FindingsManufacturing digitalization positively affects green process innovation, and thus firm performance. Furthermore, this positive effect is strengthened by horizontal information sharing and technological modularization and weakened by vertical bottom-up learning.Originality/valueThis study extends the literature rooted in the natural-resource-based view by identifying the crucial role of green process innovation and investigating the value of manufacturing digitalization for developing green capabilities in the digital era. It also contributes to this line of research by revealing contingent factors to leverage manufacturing digitalization from the information processing perspective. Furthermore, this study extends information processing theory to the digital context and identifies the interaction of organizational design (vertical bottom-up learning and horizontal information sharing) and digital investment (manufacturing digitalization).
This paper studies the decision-making of poverty alleviation investment in the supply chain system composed of agricultural suppliers and e-commerce sales platforms. Using the method of differential games, the changes of the equilibrium results of supply chain members in two cases are investigated and compared. The research shows that Under the Nash non-cooperative game situation, government subsidies can improve the degree of poverty alleviation efforts and the optimal benefits of supply chain members. The government subsidy coefficient τ only affects the poverty alleviation efforts and total revenue of agricultural suppliers and e-commerce sales platforms, and has no effect on the promotion efforts of e-commerce sales platforms.
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