Mohammad H. Eslami

Associate Professor

Jönköping University

Sweden

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About

Mohammad H. Eslami is an Associate Professor at Jönköping University, Sweden. His research areas encompass sustainable development through blockchain technology, financial performance in relation to Industry 4.0, and knowledge-sharing within supply chains. He has also conducted studies on logistics flexibility in retailing and the impact of machine learning on R&D in the technology sector.

Articles (6)

Year:

2025

Year:

2023

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Collaborators (1)

Hamid Jafari

Associate Professor

Jönköping University

SWEDEN

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Mohammad H. Eslami

Research Interests

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About

Articles (6)

The use of blockchain in organisations for sustainable development: a systematic literature review and bibliometric analysis

Knowledge-sharing across supply chain actors in adopting Industry 4.0 technologies: An exploratory case study within the automotive industry

Postponement and logistics flexibility in retailing: The moderating role of logistics integration and demand uncertainty

Financial performance and supply chain dynamic capabilities: the Moderating Role of Industry 4.0 technologies

Mapping inclusive innovation: A bibliometric study and literature review

The effect of machine learning on knowledge-intensive R&D in the technology industry

Collaborators (1)

Hamid Jafari

Make your next move.

Mohammad H. Eslami

Research Interests

Explore related searches

Contact this professor

About

Articles (6)

The use of blockchain in organisations for sustainable development: a systematic literature review and bibliometric analysis

Knowledge-sharing across supply chain actors in adopting Industry 4.0 technologies: An exploratory case study within the automotive industry

Postponement and logistics flexibility in retailing: The moderating role of logistics integration and demand uncertainty

Financial performance and supply chain dynamic capabilities: the Moderating Role of Industry 4.0 technologies

Mapping inclusive innovation: A bibliometric study and literature review

The effect of machine learning on knowledge-intensive R&amp;D in the technology industry

Collaborators (1)

Hamid Jafari

Make your next move.

The effect of machine learning on knowledge-intensive R&D in the technology industry