ORGANIZATION SCIENCE

Scope & Guideline

Pioneering Research in the Heart of Organizational Studies

Introduction

Welcome to your portal for understanding ORGANIZATION SCIENCE, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN1047-7039
PublisherINFORMS
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 1996 to 2024
AbbreviationORGAN SCI / Organ Sci.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address5521 RESEARCH PARK DR, SUITE 200, CATONSVILLE, MD 21228

Aims and Scopes

ORGANIZATION SCIENCE focuses on the intersection of management, technology, and organizational behavior, emphasizing the application of innovative methodologies to address complex organizational challenges.
  1. Interdisciplinary Research:
    The journal promotes studies that integrate concepts from management, information technology, sociology, and psychology to understand organizational dynamics.
  2. Digital Transformation and Innovation:
    A core focus on how organizations adapt to digital changes, leveraging new technologies such as cloud computing, big data, and machine learning to enhance efficiency and competitiveness.
  3. Behavioral Insights in Management:
    Research addressing the psychological and behavioral aspects of decision-making within organizations, including biases, employee engagement, and work culture.
  4. Sustainability and Ethical Practices:
    A growing emphasis on sustainable practices in organizational strategies, including supply chain management and corporate social responsibility.
  5. Quantitative and Qualitative Methodologies:
    Utilization of a variety of research methods, including empirical studies, case analyses, and theoretical frameworks to derive insights and implications for practice.
Recent publications in ORGANIZATION SCIENCE have highlighted several emerging themes that reflect the evolving landscape of organizational research.
  1. Integration of Artificial Intelligence and Machine Learning:
    A growing interest in how AI and machine learning can be integrated into organizational processes for enhanced decision-making and operational efficiency.
  2. Cloud Computing and Digital Security:
    Increased focus on the implications of cloud technologies for organizational strategies, particularly regarding security and data management in a zero-trust framework.
  3. Sustainability in Supply Chain Management:
    An emerging trend emphasizing the need for sustainability practices within supply chains, driven by consumer demand and regulatory changes.
  4. Employee Well-Being and Work-Life Balance:
    Research on the impact of organizational policies on employee well-being and the importance of fostering a positive work-life balance, particularly in remote work contexts.
  5. Data Analytics in Decision-Making:
    The use of advanced data analytics to inform strategic decisions is a growing area of research, reflecting the importance of data-driven insights in contemporary organizational practices.

Declining or Waning

While ORGANIZATION SCIENCE has maintained a broad spectrum of research themes, some topics have seen a decline in focus over the years.
  1. Traditional Organizational Structures:
    Research on rigid hierarchical models and traditional management styles has decreased as organizations shift towards more agile and network-based structures.
  2. Focus on Localized Case Studies:
    There has been a noticeable reduction in studies focused solely on local or specific case studies without broader implications, as the journal aims for more generalizable findings.
  3. Static Economic Models:
    Research using static economic models to predict organizational behavior has waned in favor of dynamic models that better capture the complexities of modern business environments.
  4. Single-Domain Studies:
    Studies that focus exclusively on one domain, such as marketing or finance, are becoming less common as interdisciplinary approaches gain traction.
  5. Non-Quantitative Approaches:
    There is a shift away from purely qualitative methodologies without complementary quantitative analysis, reflecting the journal's move towards more robust empirical evidence.

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