Modelling the factors influencing the intention to adopt collaborative robots in manufacturing organisations: an ISM approach
Bhajneet Kaur, Kamini Rai, Priya Jindal, Amiya Kumar MohapatraPurpose
This paper aims to present a well-structured hierarchical framework, formulated through the interconnectivity among key internal factors of collaborative robots’ (cobots) adoption, facilitating the prioritisation of cobots’ adoption within manufacturing settings.
Design/methodology/approach
The study uses an interpretive structural modelling (ISM) approach to develop a well-structured hierarchical model and applies Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) to cluster these factors into groups (linkage, dependent, independent and autonomous) as per their influencing powers, i.e. driving and dependence powers.
Findings
Overall, 11 factors have been rigorously identified and further partitioned into six levels based on their contextual relationships and hierarchical structure. As found, five factors clustered into the linkage section; four factors clustered into the independent section; two factors clustered into the dependent section; and zero within the autonomous section.
Research limitations/implications
The study enables managers, policymakers and strategists to prioritise undertakings, allocate resources and formulate focused plans to support the successful adoption of collaborative robotics in manufacturing settings. By harmonising long-term goals with operational practices, organisations can ensure a consistent integration path, productivity and advancements.
Practical implications
The current investigation contributes towards manufacturing domain through an innovative conceptual framework clustered into different levels of contribution. This valuable contribution can also be added to research on sustainable integration and enhance innovation in manufacturing fields.
Originality/value
The systematic model provides a planning framework for capturing the understanding of each interconnected key driver and its relevance to cobots’ adoption within the firm’s strategic decision-making and technological innovation in manufacturing.