Journal of Management Analytics

Scope & Guideline

Elevating Management Practices with Cutting-Edge Analytics

Introduction

Immerse yourself in the scholarly insights of Journal of Management Analytics with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN2327-0012
PublisherROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 2014 to 2024
AbbreviationJ MANAG ANAL / J. Manag. Anal.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND

Aims and Scopes

The Journal of Management Analytics focuses on advancing the understanding and application of analytical methods in various management contexts. It aims to bridge theoretical insights with practical applications, enhancing decision-making processes across industries.
  1. Data Analytics and Decision Making:
    The journal emphasizes the role of data analytics in improving decision-making within organizations. It explores various analytical techniques, including machine learning, big data analytics, and multi-criteria decision-making (MCDM) methods.
  2. Supply Chain Management:
    Research in this area involves modeling and optimizing supply chain processes, addressing challenges such as inventory management, demand forecasting, and sustainability, particularly under uncertainty and fluctuating market conditions.
  3. Healthcare Analytics:
    The journal covers studies that apply analytical frameworks to healthcare settings, focusing on improving operational efficiency, patient management, and health outcomes, especially in the context of recent global health crises.
  4. Financial Analytics:
    This theme includes the application of analytical techniques in finance, such as risk assessment, financial forecasting, and performance evaluation, highlighting the integration of artificial intelligence in financial decision-making.
  5. Sustainability and Environmental Impact:
    Research exploring the environmental implications of business practices, including supply chain sustainability, eco-labeling, and corporate social responsibility, is a core focus, reflecting the growing importance of sustainability in management.
The Journal of Management Analytics is witnessing a dynamic evolution in its research themes. This section outlines the emerging trends that reflect the current interests and future directions in management analytics.
  1. Industry 4.0 and Digital Transformation:
    Research focusing on Industry 4.0 technologies, digitalization, and their impact on business operations is on the rise. This trend reflects the ongoing transformation in industries driven by advanced analytics and automation.
  2. Artificial Intelligence and Machine Learning Applications:
    There is an increasing emphasis on the application of artificial intelligence and machine learning techniques across various domains, including finance, healthcare, and supply chain management, highlighting their significance in enhancing decision-making processes.
  3. Health Analytics Post-COVID-19:
    The impact of the COVID-19 pandemic has led to a surge in research related to health analytics, emphasizing the importance of data-driven approaches in managing health crises and improving healthcare systems.
  4. Sustainability Analytics:
    Sustainability and environmental analytics are gaining traction, with researchers exploring the integration of sustainability metrics into business analytics frameworks, reflecting a growing awareness of corporate responsibility.
  5. Smart and Sustainable Supply Chains:
    The journal is increasingly publishing research on the optimization of supply chains leveraging smart technologies and sustainable practices, indicating a shift towards environmentally conscious and efficient supply chain models.

Declining or Waning

While the Journal of Management Analytics has shown a strong focus on various themes, certain areas appear to be declining in prominence. This section highlights those themes that have seen a reduction in publication frequency or relevance over recent years.
  1. Traditional Management Theories:
    There has been a noticeable decline in studies focused on traditional management theories without an analytical framework. The shift towards data-driven approaches has overshadowed classical management paradigms.
  2. Generalized Business Models:
    Research centered around generic business models without specific analytical or empirical backing is becoming less frequent. The journal now favors studies that incorporate quantitative analysis or innovative approaches.
  3. Qualitative Research in Management:
    Qualitative studies that do not integrate quantitative data or analytical methods are less prevalent, as the journal's focus shifts towards empirical research that provides measurable insights and actionable outcomes.

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