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Sachin S Kamble

Biographic Data

ID6196618
NAMESachin S Kamble
GIVEN NAMESSachin S
FAMILY NAMEKamble
SIGNATUREKAMBLE S S
AFFILIATIONSEcole des Hautes Etudes Commerciales du Nord
ORCID0000-0003-4922-8172
VERIFIEDYes
TOTAL WORKS13
TOTAL CITATIONS7
AUTHOR COUNT13
EDITOR COUNT0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2024
H-INDEX1
  • An integrated MCDM-ML approach for predicting the carbon neutrality index in manufacturing supply chains

    Open Access•Vishwas Dohale, Sachin S Kamble et al.•ARTICLE•Technological Forecasting and…•2024

    Organizations across the globe are devising novel approaches to strive for carbon neutrality. Global institutions have manifested the critical need to develop reasonable strategies in every sector to mitigate the impending issues of excessive anthropogenic carbon emission and, in consequence, climate change. World‐leading economies have initiated significant steps by developing zero‐carbon emission policies to monitor the escalating carbon emissi…

  • Artificial intelligence and machine learning-based decision support system for forecasting electric vehicles' power requirement

    Open Access•Sunil Kumar Jauhar, Sunil Sethi et al.•ARTICLE•Technological Forecasting and…•2024

    Increasing pollution is causing adverse environmental effects , leading to increased interest in combating this issue. There has been a significant interest in minimizing the pollution caused by combustion engine vehicles, with high research and development investments in hybrid and electric vehicle (EV) batteries. The innovations in EVs have a high potential to contribute to an optimized transportation sector while also playing a crucial role in…

  • An effectuation and causation perspective on the role of design thinking practices and digital capabilities in platform-based ventures

    Open Access•Sachin S Kamble, Sachin Kamble et al.•ARTICLE•Technological Forecasting and…•2023

    The evolution of digital platforms and related ecosystems has led to a new and essential context of entrepreneurship. Previous studies have revealed that although high-tech new ventures possess cutting-edge technology, they face significant challenges because of vital resource constraints and limited management capability. Design thinking practices have emerged as a prominent problem-solving approach offering innovation benefits during high uncer…

  • Digital twin-driven real-time planning, monitoring, and controlling in food supply chains

    Open Access•Pratik Maheshwari, Sachin S Kamble et al.•ARTICLE•Technological Forecasting and…•2023

    There needs to be more clarity about when and how the digital twin approach could benefit the food supply chains. In this study, we develop and solve an integrated problem of procurement, production, and distribution strategies (PPDs) in a medium-scale food processing company. Using the digital twin approach, the model considers the industrial symbiosis opportunities between the supplier, manufacturer, and customer using interval and sequence var…

  • Has Covid-19 accelerated opportunities for digital entrepreneurship? An Indian perspective

    Open Access•Sachin Modgil, Yogesh K Dwivedi et al.•ARTICLE•Technological Forecasting and…•2022

    Covid-19 has challenged many businesses to orient themselves towards digital solutions for their survival. Due to the rising digital wave during Covid-19, there has been a plethora of opportunities for aspiring entrepreneurs to enter the market. Hence, this study focuses on understanding emerging areas and technologies for digital entrepreneurship. This study adopted a qualitative approach with semi-structured interviews through the lens of the d…

  • Digital twin for sustainable manufacturing supply chains

    Open Access•Sachin S Kamble, Angappa Gunasekaran et al.•ARTICLE•Technological Forecasting and…•2022

  • A large multi-group decision-making technique for prioritizing the big data-driven circular economy practices in the automobile component manufacturing industry

    Open Access•Sachin S Kamble, Amine Belhadi et al.•ARTICLE•Technological Forecasting and…•2021

    The present study uses a large group decision-making technique to identify and rank the best big data-driven circular economy (BDDCE) practices in the auto-component industry. The data pertaining to the BDDCE practices were collected from the decision-makers in three groups, namely, purchasing, manufacturing, and logistics & marketing function from the auto-component manufacturing industry. First, the consensus on the BDDCE practices within the g…

  • Manufacturing and service supply chain resilience to the Covid-19 outbreak

    Open Access•Amine Belhadi, Sachin S Kamble et al.•ARTICLE•Technological Forecasting and…•2021

  • An empirical study of real-time information-receiving using industry 4.0 technologies in downstream operations

    Open Access•Arsalan Mujahid Ghouri, Venkatesh Mani et al.•ARTICLE•Technological Forecasting and…•2021

  • Achieving sustainable performance in a data-driven agriculture supply chain

    Open Access•Sachin S Kamble, Angappa Gunasekaran et al.•ARTICLE•International Journal of…•2020

  • Understanding the Blockchain technology adoption in supply chains-Indian context

    Sachin S Kamble, Sachin Kamble et al.•ARTICLE•International Journal of…•2019

    Blockchain technology (BT) is expected to bring a revolutionary paradigm shift in the manner the transactions are carried in the supply chains. BT provides better visibility and transparency by removing the disadvantages of trust related issues in a supply chain. In this paper, we advance the literature on BT and its adoption in the supply chain by developing, and statistically validating a model for understanding the user perceptions on BT adopt…

  • Fuzzy multi-criteria decision analysis for environmentally conscious solid waste treatment and disposal technology selection

    Open Access•Manoj Govind Kharat, Shankar Murthy et al.•ARTICLE•Technology in Society•2019•Cited by: 7•References: 52

  • Sustainable Industry 4.0 framework

    Open Access•Sachin S Kamble, Angappa Gunasekaran et al.•ARTICLE•Process Safety and Environmental…•2018

  • Fuzzy multi-criteria decision analysis for environmentally conscious solid waste treatment and disposal technology selection

    Open Access•Manoj Govind Kharat, Shankar Murthy et al.•ARTICLE•Technology in Society•2019•Cited by: 7•References: 52

  • Sustainable Industry 4.0 framework

    Open Access•Sachin S Kamble, Angappa Gunasekaran et al.•ARTICLE•Process Safety and Environmental…•2018

  • Understanding the Blockchain technology adoption in supply chains-Indian context

    Sachin S Kamble, Sachin Kamble et al.•ARTICLE•International Journal of…•2019

    Blockchain technology (BT) is expected to bring a revolutionary paradigm shift in the manner the transactions are carried in the supply chains. BT provides better visibility and transparency by removing the disadvantages of trust related issues in a supply chain. In this paper, we advance the literature on BT and its adoption in the supply chain by developing, and statistically validating a model for understanding the user perceptions on BT adopt…

  • Fuzzy multi-criteria decision analysis for environmentally conscious solid waste treatment and disposal technology selection

    Open Access•Manoj Govind Kharat, Shankar Murthy et al.•ARTICLE•Technology in Society•2019•Cited by: 7•References: 52

  • Achieving sustainable performance in a data-driven agriculture supply chain

    Open Access•Sachin S Kamble, Angappa Gunasekaran et al.•ARTICLE•International Journal of…•2020

  • A large multi-group decision-making technique for prioritizing the big data-driven circular economy practices in the automobile component manufacturing industry

    Open Access•Sachin S Kamble, Amine Belhadi et al.•ARTICLE•Technological Forecasting and…•2021

    The present study uses a large group decision-making technique to identify and rank the best big data-driven circular economy (BDDCE) practices in the auto-component industry. The data pertaining to the BDDCE practices were collected from the decision-makers in three groups, namely, purchasing, manufacturing, and logistics & marketing function from the auto-component manufacturing industry. First, the consensus on the BDDCE practices within the g…

  • Manufacturing and service supply chain resilience to the Covid-19 outbreak

    Open Access•Amine Belhadi, Sachin S Kamble et al.•ARTICLE•Technological Forecasting and…•2021

  • An empirical study of real-time information-receiving using industry 4.0 technologies in downstream operations

    Open Access•Arsalan Mujahid Ghouri, Venkatesh Mani et al.•ARTICLE•Technological Forecasting and…•2021

  • Has Covid-19 accelerated opportunities for digital entrepreneurship? An Indian perspective

    Open Access•Sachin Modgil, Yogesh K Dwivedi et al.•ARTICLE•Technological Forecasting and…•2022

    Covid-19 has challenged many businesses to orient themselves towards digital solutions for their survival. Due to the rising digital wave during Covid-19, there has been a plethora of opportunities for aspiring entrepreneurs to enter the market. Hence, this study focuses on understanding emerging areas and technologies for digital entrepreneurship. This study adopted a qualitative approach with semi-structured interviews through the lens of the d…

  • Digital twin for sustainable manufacturing supply chains

    Open Access•Sachin S Kamble, Angappa Gunasekaran et al.•ARTICLE•Technological Forecasting and…•2022

  • An effectuation and causation perspective on the role of design thinking practices and digital capabilities in platform-based ventures

    Open Access•Sachin S Kamble, Sachin Kamble et al.•ARTICLE•Technological Forecasting and…•2023

    The evolution of digital platforms and related ecosystems has led to a new and essential context of entrepreneurship. Previous studies have revealed that although high-tech new ventures possess cutting-edge technology, they face significant challenges because of vital resource constraints and limited management capability. Design thinking practices have emerged as a prominent problem-solving approach offering innovation benefits during high uncer…

  • Digital twin-driven real-time planning, monitoring, and controlling in food supply chains

    Open Access•Pratik Maheshwari, Sachin S Kamble et al.•ARTICLE•Technological Forecasting and…•2023

    There needs to be more clarity about when and how the digital twin approach could benefit the food supply chains. In this study, we develop and solve an integrated problem of procurement, production, and distribution strategies (PPDs) in a medium-scale food processing company. Using the digital twin approach, the model considers the industrial symbiosis opportunities between the supplier, manufacturer, and customer using interval and sequence var…

  • An integrated MCDM-ML approach for predicting the carbon neutrality index in manufacturing supply chains

    Open Access•Vishwas Dohale, Sachin S Kamble et al.•ARTICLE•Technological Forecasting and…•2024

    Organizations across the globe are devising novel approaches to strive for carbon neutrality. Global institutions have manifested the critical need to develop reasonable strategies in every sector to mitigate the impending issues of excessive anthropogenic carbon emission and, in consequence, climate change. World‐leading economies have initiated significant steps by developing zero‐carbon emission policies to monitor the escalating carbon emissi…

  • Artificial intelligence and machine learning-based decision support system for forecasting electric vehicles' power requirement

    Open Access•Sunil Kumar Jauhar, Sunil Sethi et al.•ARTICLE•Technological Forecasting and…•2024

    Increasing pollution is causing adverse environmental effects , leading to increased interest in combating this issue. There has been a significant interest in minimizing the pollution caused by combustion engine vehicles, with high research and development investments in hybrid and electric vehicle (EV) batteries. The innovations in EVs have a high potential to contribute to an optimized transportation sector while also playing a crucial role in…

Business (11 works) · Computer Science (11 works) · Marketing (7 works) · Supply chain (6 works) · Sustainable Supply Chain Management (6 works) · Engineering (5 works) · Marketing (5 works) · Political science (4 works) · Digital Transformation in Industry (3 works) · Industrial organization (3 works)

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