Journal of Science and Technology Policy Management

Aims & Scope

The Journal of Science and Technology Policy Management (JSTPM) offers an intense debate on science and technology issues in the hope of influencing the wider community of policy makers and academics.

JSTPM provides readers with timely insights on the latest developments and trends in science and technology around the world, especially in emerging economies.

With this aim, the journal publishes high quality theoretical and empirical papers that provide a better understanding of the role played by science and technology in the economic growth and well-being of citizens.

It discusses the role of science and technology in the knowledge-based economy and explores how different economic agents can foster these activities.

The journal is interested in attracting submissions that debate issues in the areas of science, technology, and innovation, as well as their impact on economic growth and social well-being.

JSTPM has a special focus on countries with emerging economies.

The journal is interested in manuscripts that provide an ongoing dialogue for scholars and practitioners on science and technology policy management.

JSTPM papers will cover a broad range of topics including policies to promote innovation, science and technology indicators, as well as skills for science and technology.

The coverage of the journal includes: Asia Biomedicine and health technologies Biotechnology, nanotechnology and converging technologies (BNCTs) Circular economy Climate change and sustainability Cyber innovation platforms Digital economy and society Digital transformation e-health technologies Economics, science and technology Emerging economies Energy policies Engineering Ethics and science Green growth Industrial policy Industry and globalization Innovation and entrepreneurship Innovation ecosystems Innovation for inclusive growth.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	3.5

SJR (SCImago Journal Rank)

Year	Value
2024	0.694

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	35

Journal Rank

Year	Value
2024	8193

Journal Citation Indicator

Year	Value
2024	765

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Business, Management and Accounting and Decision Sciences, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Enhancing sustainable urban development through smart city applications

  Citation: 276

  Authors: Margarita, Artemis, Nicos, Christina, Panagiotis, Anastasia

• Adoption of digital payment systems in the era of demonetization in India

  Citation: 222

  Authors: Brijesh

• Integrating TAM, TPB and TOE frameworks and expanding their characteristic constructs for e-commerce adoption by SMEs

  Citation: 210

  Authors: Hart O., Ojiabo Ukoha, Bartholomew Chinweuba

• Rescaling and refocusing smart cities research: from mega cities to smart villages

  Citation: 208

  Authors: Anna, Miltiadis D.

• Policy making for smart cities: innovation and social inclusive economic growth for sustainability

  Citation: 173

  Authors: Anna, Miltiadis D., Ernesto, Hassan

• Artificial Intelligence Adoption in the Post COVID-19 New-Normal and Role of Smart Technologies in Transforming Business: a Review

  Citation: 144

  Authors: Pragati, Sanjeev, Sunita Kumari

• Triple helix and its evolution: a systematic literature review

  Citation: 135

  Authors: Anderson, Carla, Carla, João, Vanessa

• Using the UTAUT, personal innovativeness and perceived financial cost to examine student’s intention to use E-learning

  Citation: 95

  Authors: Kojo Kakra, Daniel, Gabriel, Bright

• Big data analytics adoption model for small and medium enterprises

  Citation: 90

  Authors: Parisa, Wan Khairuzzaman, Morteza

• Big data analytics-artificial intelligence and sustainable performance through green supply chain practices in manufacturing firms of a developing country

  Citation: 85

  Authors: Aamir, Neelam, Rizwana, Abdul Hafaz

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