RESEARCH-TECHNOLOGY MANAGEMENT

Scope & Guideline

Driving excellence in innovation strategy.

Introduction

Delve into the academic richness of RESEARCH-TECHNOLOGY MANAGEMENT with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN0895-6308
PublisherTAYLOR & FRANCIS INC
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 1988 to 1989, from 1995 to 2024
AbbreviationRES TECHNOL MANAGE / Res.-Technol. Manage.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106

Aims and Scopes

The journal 'Research-Technology Management' is dedicated to advancing the understanding of how technology and innovation can be managed effectively within organizations. It focuses on bridging the gap between research and practical management, emphasizing the role of technology in driving innovation across various sectors.
  1. Innovation Management:
    The journal explores various facets of managing innovation, including frameworks, methodologies, and case studies that illustrate best practices in fostering innovative environments.
  2. Technology Adoption and Integration:
    A significant focus is placed on how organizations can adopt and integrate new technologies, particularly in relation to AI, digital transformation, and Industry 4.0.
  3. Sustainability and Environmental Innovation:
    The journal addresses the importance of sustainability in innovation practices, examining how organizations are responding to global challenges such as climate change and waste management.
  4. Collaboration and Ecosystems:
    Research on collaborative innovation, including partnerships between organizations, and the role of ecosystems in fostering innovation is a key theme.
  5. Ethics and Social Responsibility:
    The journal engages with the ethical implications of technology and innovation, emphasizing the need for responsible practices in technology management.
The journal has identified several emerging themes that reflect current trends in technology and innovation management. These themes indicate a shift towards addressing contemporary challenges and opportunities in the field.
  1. AI and Machine Learning Applications:
    There is a growing emphasis on the role of AI and machine learning in innovation processes, particularly in product development and operational efficiencies.
  2. Sustainability Innovations:
    Research focused on sustainable practices and innovations, such as waste management and renewable energy technologies, is becoming increasingly prominent, reflecting global environmental concerns.
  3. Digital Transformation Strategies:
    The journal is seeing more articles that discuss strategies for successful digital transformation, particularly how organizations can leverage technology to enhance innovation.
  4. User-Centered Innovation:
    Emerging interest in user-centered design approaches and co-creation with users is on the rise, highlighting the importance of user engagement in the innovation process.
  5. Governance and Ethical Considerations in Innovation:
    There is a notable increase in discussions surrounding governance models and ethical considerations in the management of technology and innovation, reflecting societal expectations for responsible innovation.

Declining or Waning

While 'Research-Technology Management' continues to address a wide range of topics, certain themes appear to be declining in prominence based on recent publications. This section highlights these waning themes, reflecting a shift in focus within the journal.
  1. Traditional Manufacturing Innovations:
    There is a noticeable decrease in articles focused solely on traditional manufacturing processes and innovations, as more attention is being given to digital and automated solutions.
  2. Generic Innovation Models:
    Papers outlining generic or one-size-fits-all innovation models are becoming less frequent, with a shift towards more tailored, context-specific approaches that consider unique organizational needs.
  3. Linear Innovation Processes:
    The focus on linear models of innovation, where stages are strictly sequential, is waning in favor of more dynamic and iterative approaches that reflect the complexities of modern innovation.

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