Green supply chain innovation: Emergence, adoption, and challenges
Alongside many studies on greening efforts for supply chain activities, there is a research
gap in understanding the emergence and adoption of green supply chain innovation (GSCI) …
gap in understanding the emergence and adoption of green supply chain innovation (GSCI) …
Digital transformation: A systematic literature review
X Zhu, S Ge, N Wang - Computers & Industrial Engineering, 2021 - Elsevier
Digital transformation (DT) has emerged as an important phenomenon in the discipline of
business and management. The purpose of this paper is to examine intellectual structure of …
business and management. The purpose of this paper is to examine intellectual structure of …
A framework of digital technologies for the circular economy: Digital functions and mechanisms
Digital technology is regarded as providing a promising means of moving production and
consumption towards the circular economy. However, it is still unclear which functions of …
consumption towards the circular economy. However, it is still unclear which functions of …
Assessing data-driven sustainable supply chain management indicators for the textile industry under industrial disruption and ambidexterity
This study contributes to developing the existing knowledge regarding data-driven
sustainable supply chain management (SSCM) indicators under industrial disruption and …
sustainable supply chain management (SSCM) indicators under industrial disruption and …
Can big data analytics capabilities promote a competitive advantage? Green radical innovation, green incremental innovation and data-driven culture in a moderated …
AW Al-Khatib - Business Process Management Journal, 2022 - emerald.com
Purpose This study explores the connection between big data analytics capabilities and the
competitive advantage of the manufacturing sector in Jordan through the mediating role of …
competitive advantage of the manufacturing sector in Jordan through the mediating role of …
[HTML][HTML] Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows
Modal-decomposition techniques are computational frameworks based on data aimed at
identifying a low-dimensional space for capturing dominant flow features: the so-called …
identifying a low-dimensional space for capturing dominant flow features: the so-called …
Analysis of artificial intelligence-based technologies and approaches on sustainable entrepreneurship
BB Gupta, A Gaurav, PK Panigrahi, V Arya - Technological Forecasting and …, 2023 - Elsevier
Research in the field of entrepreneurship has grown dramatically in the last decade and
currently covers a wide variety of topics and concerns. Development in the field of artificial …
currently covers a wide variety of topics and concerns. Development in the field of artificial …
[HTML][HTML] Performance measurement system and quality management in data-driven Industry 4.0: A review
The birth of mass production started in the early 1900s. The manufacturing industries were
transformed from mechanization to digitalization with the help of Information and …
transformed from mechanization to digitalization with the help of Information and …
Smart factory performance, cognitive automation, and industrial big data analytics in sustainable manufacturing internet of things
M Kovacova, E Lewis - Journal of Self-Governance and Management …, 2021 - ceeol.com
We draw on a substantial body of theoretical and empirical research on smart factory
performance, cognitive automation, and industrial big data analytics in sustainable …
performance, cognitive automation, and industrial big data analytics in sustainable …
The drivers of industry 4.0 in a circular economy: The palm oil industry in Malaysia
The demand for palm oil production has been disrupted and volatilized due to uncertain
conditions, such as the COVID-19 pandemic. To overcome this problem, Industry 4.0 (I4. 0) …
conditions, such as the COVID-19 pandemic. To overcome this problem, Industry 4.0 (I4. 0) …