Journal of Intelligence Studies in Business

Scope & Guideline

Fostering collaboration in the realm of business intelligence.

Introduction

Explore the comprehensive scope of Journal of Intelligence Studies in Business through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore Journal of Intelligence Studies in Business in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN2001-015x
PublisherHALMSTAD UNIV, SWEDEN
Support Open AccessYes
CountrySweden
TypeJournal
Convergefrom 2011 to 2023
AbbreviationJ INTELL STUD BUS / J. Intell. Stud. Bus.
Frequency3 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressPO BOX 823, HALMSTAD 30118, SWEDEN

Aims and Scopes

The Journal of Intelligence Studies in Business focuses on the interplay between intelligence practices and business strategies, emphasizing the role of competitive and business intelligence in enhancing organizational performance and decision-making processes.
  1. Competitive Intelligence (CI) and Business Strategy:
    The journal extensively covers the integration of competitive intelligence into business strategies, focusing on how organizations can leverage CI to gain a competitive edge in various sectors.
  2. Business Intelligence (BI) Applications:
    A significant area of research involves the application of business intelligence tools and methodologies, exploring how they facilitate decision-making and improve organizational effectiveness.
  3. Artificial Intelligence (AI) Integration:
    The incorporation of AI technologies into competitive intelligence practices is a key focus, examining how AI can enhance data analysis and strategic decision-making.
  4. Organizational Learning and Resilience:
    The journal highlights the importance of organizational learning and resilience in relation to competitive intelligence, investigating how these factors contribute to long-term success and sustainability.
  5. Sector-Specific Studies:
    Research often includes sector-specific applications of intelligence practices, such as studies in retail, banking, and healthcare, providing insights tailored to different industry challenges.
  6. Emerging Economies and Innovation:
    The journal addresses the role of intelligence in fostering innovation and competitiveness in emerging economies, focusing on how businesses can adapt to rapidly changing environments.
Recent publications in the journal indicate a shift towards emerging themes that reflect the evolving landscape of business intelligence and its applications in the modern economy. These trends highlight areas of increasing relevance and importance for researchers and practitioners alike.
  1. AI-Driven Competitive Intelligence:
    The integration of artificial intelligence into competitive intelligence practices is a rapidly growing area, with studies exploring how AI enhances data analytics, predictive modeling, and strategic decision-making.
  2. Sustainability and Resilience:
    There is an increasing focus on how competitive intelligence can support organizational sustainability and resilience, particularly in the face of global challenges such as economic instability and climate change.
  3. Impact of Big Data on Intelligence Practices:
    Research is trending towards understanding how big data influences competitive and business intelligence, with an emphasis on real-time analysis and data-driven decision-making.
  4. Sector-Specific Innovations:
    Recent studies emphasize innovative applications of intelligence in specific sectors, such as healthcare and finance, showcasing tailored strategies that address unique industry challenges.
  5. Role of Competitive Intelligence in Conflict Zones:
    Emerging research is exploring the role of competitive intelligence in international business strategies, particularly in conflict-affected regions, highlighting its importance for multinational enterprises.

Declining or Waning

While the journal maintains a robust focus on competitive and business intelligence, certain themes appear to be losing prominence in recent publications, reflecting shifts in research interests and industry relevance.
  1. Traditional Market Analysis Techniques:
    There is a noticeable decline in studies using traditional market analysis techniques, as the focus shifts towards more integrated and technology-driven approaches to competitive intelligence.
  2. Generalized Intelligence Frameworks:
    The journal has moved away from generalized frameworks of intelligence, favoring more specific and contextual applications that demonstrate practical implications in various business environments.
  3. Interdisciplinary Intelligence Studies:
    While interdisciplinary approaches were once prevalent, there seems to be a waning interest in broad-based intelligence studies that do not directly tie into business outcomes or strategic applications.
  4. Static Models of Decision Making:
    Research focusing on static models of decision making is decreasing, as there is a growing emphasis on dynamic and real-time decision-making frameworks that incorporate big data and AI.

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