[PDF][PDF] Interpretive structural modelling (ISM) approach: an overview
R Attri, N Dev, V Sharma - Research journal of management …, 2013 - researchgate.net
Interpretive structural modelling (ISM) is a well-established methodology for identifying
relationships among specific items, which define a problem or an issue. This approach has …
relationships among specific items, which define a problem or an issue. This approach has …
Trustworthiness of digital government services: deriving a comprehensive theory through interpretive structural modelling
Having its origin in public administration, trustworthiness is a significant concept in digital
government research, influencing the relationships between citizens and governments …
government research, influencing the relationships between citizens and governments …
Internet of things (IoT) based coordination system in Agri-food supply chain: development of an efficient framework using DEMATEL-ISM
Abstract Supply Chain Management (SCM) is one of the key aspects of making agriculture
sector more competitive in India. India and other develo** countries arefacing issues for …
sector more competitive in India. India and other develo** countries arefacing issues for …
Exploring barriers of m-commerce adoption in SMEs in the UK: Develo** a framework using ISM
In the modern business era, mobile commerce (m-commerce) is changing the way the
business is conducted using the Internet. However, the prominence of m-commerce among …
business is conducted using the Internet. However, the prominence of m-commerce among …
Knowledge management in improving business process: an interpretative framework for successful implementation of AI–CRM–KM system in organizations
S Chatterjee, SK Ghosh, R Chaudhuri - … Process Management Journal, 2020 - emerald.com
Purpose The purpose of this paper is to identify the critical success factors (CSFs) for AI-
integrated CRM system for better knowledge management (KM) in organizations to improve …
integrated CRM system for better knowledge management (KM) in organizations to improve …
Barriers to lean six sigma implementation in the supply chain: An ISM model
Lean six sigma (LSS), a process improvement tool to achieve operational excellence in any
industry, has become popular among practitioners over the last few decades. In this study, a …
industry, has become popular among practitioners over the last few decades. In this study, a …
Proposal for a framework to manage the barriers that hinder the development of agriculture 4.0 in the agricultural production chain
Agriculture 4.0 technologies like the internet of things, machine learning, unmanned aerial
vehicles, big data analytics, robotics, and artificial intelligence can benefit all stages and …
vehicles, big data analytics, robotics, and artificial intelligence can benefit all stages and …
Investigating the interaction of factors for implementing additive manufacturing to build an antifragile supply chain: TISM-MICMAC approach
The outbreak of the Covid-19 pandemic has come across as an exogenous shock to the
firms and their supply chains. It has led firms to rethink and rework their existing robust and …
firms and their supply chains. It has led firms to rethink and rework their existing robust and …
Assessing the key enablers for Industry 4.0 adoption using MICMAC analysis: a case study
Purpose The aim of this research is to assess the key enablers of Industry 4.0 (I4. 0) in the
context of the Indian automobile industry. It is done to apprehend their comparative effect on …
context of the Indian automobile industry. It is done to apprehend their comparative effect on …
Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling
Innovation is vital to find new solutions to problems, increase quality, and improve
profitability. Big open linked data (BOLD) is a fledgling and rapidly evolving field that creates …
profitability. Big open linked data (BOLD) is a fledgling and rapidly evolving field that creates …