Table 2 IIoT integration maturity model... | Emerald Publishing

Table 2

IIoT integration maturity model

Dimensions	Capability factors	Maturity levels
Dimensions	Capability factors	1. Pre-pilot	2. Pilot	3. Operational	4. Organisation scale	5. Ecosystem scale
Physical Object	Object scalability	Isolated objects exist but lack IIoT connectivity	Small, controlled set of objects connected for pilot use cases	Expanded object deployment across operations	IIoT objects deployed across the organisation as needed	Object integration with ecosystem partners where required
	Integration with complementary technologies	No integration with complementary technologies	Basic integration with essential complementary technologies	Systematic integration of objects with complementary technologies	Standardised integration with complementary technologies	Seamless integration with complementary technologies used by external partners
	Depth of object connectivity	Limited opportunities for object connectivity	Connectivity methods are tested	Operational-level connectivity and interoperability achieved	Enterprise-wide connectivity and interoperability achieved	Cross-organisational connectivity enabled through interoperable data despite heterogeneous objects
Data	Data collection and management	Minimal capability for managing IIoT data	Basic IIoT data management workflows	Automated data management	Standardised data management mechanisms in place	Management of heterogeneous IIoT data from external entities
	Data analytics and insight generation	Minimal insights generated	Basic reporting and monitoring of pilot operations with the potential to generate advanced insights	Diagnostic insights generation with the potential to generate predictive insights	Predictive insights: Forecasting and optimisation of business processes across functions	Prescriptive insights generated supported by AI driven recommendations
	Data security and governance	IIoT-specific data security management measures are limited	Basic security management measures influenced by security policies of the organisations	Security management frameworks deployed considering IT and OT specific regulations	Enterprise-wide security management mechanisms deployed	Cybersecurity measures implemented adhering to industry standards
Process	Extent of process digitalisation	Industrial processes with minimal IIoT consideration	Limited IIoT-enabled processes operating independently	Expanded IIoT processes across the operational level	Comprehensive IIoT processes connecting multiple departments	IIoT-enabled processes connected with external partners across the ecosystem
	Process automation	Limited or disconnected IIoT-supported process automation	Basic IIoT-supported process automation in controlled environments	Integrated process automation within the operational environment	Enterprise-wide process automation and standardisation facilitated by IIoT	Value-chain wide IIoT-enabled process automation and integration
	Process improvement and optimisation	Reactive process management with limited visibility	Process monitoring and basic performance measurement established	Real-time process monitoring with exception-based management	IIoT-enabled continuous process improvement through KPI-driven optimisation	Adaptive processes with real-time optimisation
Business Service	Service delivery effectiveness	No connection between IIoT and service delivery	Awareness of service enablement by IIoT but has no formal integration	Localised service delivery that operates within a single unit	Deployment of base operational services at scale	Ecosystem, platform-level, service delivery models
Business Service	Service innovation	No IIoT-supported service models -business as usual without enhancement through IIoT	Experimental service enhancements in a controlled environment	Improved service quality through monitoring	Business model innovation through IIoT data-driven services	Collaborative service innovation with ecosystem partners

Dimensions	Capability factors	Maturity levels
Dimensions	Capability factors	1. Pre-pilot	2. Pilot	3. Operational	4. Organisation scale	5. Ecosystem scale
Physical Object	Object scalability	Isolated objects exist but lack IIoT connectivity	Small, controlled set of objects connected for pilot use cases	Expanded object deployment across operations	IIoT objects deployed across the organisation as needed	Object integration with ecosystem partners where required
	Integration with complementary technologies	No integration with complementary technologies	Basic integration with essential complementary technologies	Systematic integration of objects with complementary technologies	Standardised integration with complementary technologies	Seamless integration with complementary technologies used by external partners
	Depth of object connectivity	Limited opportunities for object connectivity	Connectivity methods are tested	Operational-level connectivity and interoperability achieved	Enterprise-wide connectivity and interoperability achieved	Cross-organisational connectivity enabled through interoperable data despite heterogeneous objects
Data	Data collection and management	Minimal capability for managing IIoT data	Basic IIoT data management workflows	Automated data management	Standardised data management mechanisms in place	Management of heterogeneous IIoT data from external entities
	Data analytics and insight generation	Minimal insights generated	Basic reporting and monitoring of pilot operations with the potential to generate advanced insights	Diagnostic insights generation with the potential to generate predictive insights	Predictive insights: Forecasting and optimisation of business processes across functions	Prescriptive insights generated supported by AI driven recommendations
	Data security and governance	IIoT-specific data security management measures are limited	Basic security management measures influenced by security policies of the organisations	Security management frameworks deployed considering IT and OT specific regulations	Enterprise-wide security management mechanisms deployed	Cybersecurity measures implemented adhering to industry standards
Process	Extent of process digitalisation	Industrial processes with minimal IIoT consideration	Limited IIoT-enabled processes operating independently	Expanded IIoT processes across the operational level	Comprehensive IIoT processes connecting multiple departments	IIoT-enabled processes connected with external partners across the ecosystem
	Process automation	Limited or disconnected IIoT-supported process automation	Basic IIoT-supported process automation in controlled environments	Integrated process automation within the operational environment	Enterprise-wide process automation and standardisation facilitated by IIoT	Value-chain wide IIoT-enabled process automation and integration
	Process improvement and optimisation	Reactive process management with limited visibility	Process monitoring and basic performance measurement established	Real-time process monitoring with exception-based management	IIoT-enabled continuous process improvement through KPI-driven optimisation	Adaptive processes with real-time optimisation
Business Service	Service delivery effectiveness	No connection between IIoT and service delivery	Awareness of service enablement by IIoT but has no formal integration	Localised service delivery that operates within a single unit	Deployment of base operational services at scale	Ecosystem, platform-level, service delivery models
Business Service	Service innovation	No IIoT-supported service models -business as usual without enhancement through IIoT	Experimental service enhancements in a controlled environment	Improved service quality through monitoring	Business model innovation through IIoT data-driven services	Collaborative service innovation with ecosystem partners

Source(s): Authors’ own work