Inferred edges come from two machine sources: sweeps of open repository
metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is
labelled with the one it came from. Neither is a complete citation index — absence here is not
evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
Identification of Flexible Manufacturing System Dimensions and Their Interrelationship Using Total Interpretive Structural Modelling and Fuzzy MICMAC Analysis
Analysis of critical success factors of world-class manufacturing practices: an application of interpretative structural modelling and interpretative ranking process
From waste to worth: a framework for modeling interlinked food catering supply chains for waste reduction strategies using fuzzy–grey numbers, WASPAS, and ISM-MICMAC
Analyzing the Inter-relationships of Business Recovery Challenges in the Manufacturing Industry: Implications for Post-pandemic Supply Chain Resilience
Critical Success Factors for Emerging Technology Adoption, Strategic Flexibility, and Competitiveness: An Evidence-Based Total Interpretive Structural Modeling Approach (TISM-E)
Investigating the attributes for implementing circular economy in the textile manufacturing supply chain: Implications for the triple bottom line of sustainability
Coopetition, strategy, and business performance in the era of digital transformation using a multi-method approach: Some research implications for strategy and operations management
Building resilience to handle disruptions in critical environmental and energy sectors: Implications for cleaner production in the oil and gas industry
What makes micro, small, and medium enterprises not adopt Logistics 4.0? A systematic and structured approach using modified-total interpretive structural modelling
Mapping the critical factors of emerging technologies adoption intention in foodservice industry: a modified total interpretive structural modeling approach
Technology adoption strategy for foodservice businesses in an emerging economy context: policy interventions using the Longitudinal Influencer-Facilitator-Initiative (L-IFI) framework
Analysing the impact of artificial intelligence on the competitiveness of tourism firms: a modified total interpretive structural modeling (m-TISM) approach
An exploratory study of critical success factors in Lean Six Sigma 4.0 implementation: the people, processes and technology perspective through DEMATEL-ISM approach
A study of strategic factors affecting post-cross-border acquisition technological innovation performance of the acquiring firms using m-TISM and MICMAC
What drives organisational performance: strategic thinking, technological change, strategic risks? A modified total interpretive structural modelling approach and MICMAC analysis
Using firm-level intellectual capital to achieve strategic sustainability: examination of phenomenon of business failure in terms of the critical events
Modelling enablers and barriers to improve uptake of a fruit and vegetable voucher scheme (the fresh street community) in England: a TISM-MICMAC approach
Navigating oxygen management challenges amidst COVID-19 pandemic and beyond in India: a modified Total Interpretive Structural Modeling (m-TISM) approach
Exploring The Barriers to Artificial Intelligence Integration in Green Supply Chain Using Interpretive Structural Modeling Approach: Insights from Bangladesh's Multi-Stakeholder Perspective
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.