Technology Innovation, Operations & Digital Business

Quantitative and technology-centered research at the intersection of innovation, operations, digital transformation, analytics, supply chains, fintech, platforms, and technology economics. This is not a general business or management section.

Scope Guidance

What We Publish

Submissions in this area should make a clear scientific, engineering, computational, analytical, or interdisciplinary contribution. Suitable research includes:

Technology and innovation management supported by quantitative or empirical research methods.

Operations research, optimization, decision analytics, production and service-system modelling.

Supply-chain analytics, digital supply chains, resilience, logistics optimization, and platform coordination.

Digital transformation, enterprise technology, data-driven strategy, and technology adoption studied rigorously.

Fintech, digital platforms, algorithmic decision systems, and technology-enabled business models.

Technology economics, productivity, innovation diffusion, and evidence-based policy related to emerging technologies.

Illustrative Examples

Example Research Directions

The examples below illustrate the type and level of research that can fit this area. They are examples, not a closed list.

Optimization of resilient supply networks under disruption uncertainty

Causal analysis of digital transformation and operational productivity

Machine-learning-supported demand forecasting for integrated supply chains

Platform governance and algorithmic decision systems: an empirical study

Technology diffusion modelling for industrial AI adoption

Multi-criteria decision model for sustainable technology investment

Scope Boundaries

Generally Not Suitable

Pure marketing, branding, HR, leadership, or accounting studies without a substantial technology or analytical contribution.

Descriptive company case studies with no rigorous method or generalizable research finding.

Opinion-based management commentary without quantitative, empirical, or scientific analysis.

Important: A manuscript is assessed by its actual research contribution and scope fit, not only by its subject label. Borderline interdisciplinary work may still be suitable when the scientific or technological contribution is clear.

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