Journal of Management Analytics

Scope & Guideline

Pioneering Research at the Intersection of Management and Data

Introduction

Delve into the academic richness of Journal of Management Analytics 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
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.

Similar Journals

Computational Management Science

Innovating Decision-Making with Computational Excellence
Publisher: SPRINGER HEIDELBERGISSN: 1619-697XFrequency: 4 issues/year

Computational Management Science, published by SPRINGER HEIDELBERG, is a significant journal catering to the intersection of technology, management, and decision sciences. With an ISSN of 1619-697X and E-ISSN 1619-6988, this journal serves as a platform for innovative research focusing on computational methods applied to management science, operations research, and information systems. Based in Germany, the journal spans a critical period from 2005 to 2024, emphasizing trends that shape the future of the field. As a Tier 3 journal in multiple categories including Business, Management, and Accounting, and ranked across various disciplines with Scopus rankings highlighting its relevance, it stands out in fostering scholarly discourse. The journal invites contributions that enhance the application of computational techniques in decision-making, thereby enriching the practices of both academics and industry professionals. While it currently does not offer open access, its influence is reflected in its established readership and community engagement. Researchers, practitioners, and students alike will find in this journal a vital resource for advancing knowledge and sparking innovation in computational management.

Journal of Enterprise Information Management

Empowering Innovations in Information Systems
Publisher: EMERALD GROUP PUBLISHING LTDISSN: 1741-0398Frequency: 6 issues/year

Journal of Enterprise Information Management, published by EMERALD GROUP PUBLISHING LTD, is a leading academic journal that has carved a niche in the interdisciplinary realms of Decision Sciences, Information Systems, Library and Information Sciences, and Management of Technology and Innovation. Since its inception in 2004, this prestigious journal has consistently contributed to the advancement of knowledge and practices within these vital sectors, evidenced by its impressive Q1 rankings across four categories in 2023. With an ISSN of 1741-0398 and an E-ISSN of 1758-7409, the journal boasts a wide readership, facilitating access to innovative research and case studies that address contemporary challenges faced by businesses and institutions. While it currently does not offer an Open Access option, the significant impact, as demonstrated by its high Scopus Rankings—such as rank #2 in General Decision Sciences (96th percentile)—makes it an essential resource for researchers, professionals, and students looking to remain at the forefront of enterprise information management. The journal's commitment to quality and relevance positions it as a crucial platform for disseminating impactful research until its convergence in 2024.

Journal of Management Science and Engineering

Fostering Collaboration in Management and Engineering Disciplines
Publisher: KEAI PUBLISHING LTDISSN: 2096-2320Frequency: 4 issues/year

Journal of Management Science and Engineering, published by KEAI PUBLISHING LTD, stands as a premier outlet for scholarly work in the fields of management science, decision-making, engineering, and innovation management. Since its transition to Open Access in 2016, this journal has broadened access to cutting-edge research, empowering a diverse community of researchers, professionals, and students worldwide. Based in China, the journal has remarkably achieved a Q1 classification across multiple categories in 2023, including Business and International Management, Control and Systems Engineering, and Management Information Systems. With a significant presence in Scopus rankings, where it demonstrates exceptional standing such as rank #9 in General Decision Sciences, the Journal of Management Science and Engineering plays a critical role in shaping discussions around technology, strategy, and innovative management practices. Researchers and practitioners alike will find invaluable insights and comprehensive studies that address contemporary challenges and foster advancements in the respective fields.

INFORMS Journal on Applied Analytics

Transforming Data into Actionable Insights
Publisher: INFORMSISSN: 2644-0865Frequency: 6 issues/year

INFORMS Journal on Applied Analytics, published by the esteemed Institute for Operations Research and the Management Sciences (INFORMS), is a leading journal dedicated to advancing the field of applied analytics. With an ISSN of 2644-0865 and an E-ISSN of 2644-0873, this journal aims to provide a platform for innovative research that transforms data into actionable insights, fostering the integration of analytic methods into practical applications across diverse industries. The journal's rigorous peer-review process underpins its commitment to high-quality research, ensuring relevance and impact in the rapidly evolving domain of analytics. While it currently operates under a subscription model, the journal facilitates the dissemination of knowledge to a wide audience of researchers, professionals, and students who are eager to explore the intersection of analytics and decision-making. As organizations increasingly turn to data-driven solutions, the INFORMS Journal on Applied Analytics serves as an invaluable resource for those looking to enhance their understanding and application of advanced analytical techniques.

International Journal of Data Warehousing and Mining

Unlocking the Future of Data Management
Publisher: IGI GLOBALISSN: 1548-3924Frequency: 1 issue/year

International Journal of Data Warehousing and Mining, published by IGI Global, is a vital resource in the field of data management and analytics, catering to researchers, professionals, and students alike. With ISSN 1548-3924 and E-ISSN 1548-3932, this journal has been at the forefront of disseminating pioneering research since its inception in 2005 and will continue to do so through 2024. Despite its current categorization in the Q4 quartile for Hardware and Architecture as well as Software, and its Scopus rankings, the journal aims to foster innovation within the domains of data warehousing, data mining, and their applications across various sectors. The absence of an open access option does not diminish its significance; rather, it ensures that the journal maintains rigorous peer-review standards, providing high-quality research outputs that contribute to ongoing discussions and advancements within the field. Researchers and practitioners looking to stay updated on the latest trends and methodologies will find the International Journal of Data Warehousing and Mining an indispensable tool in their academic and professional endeavors.

APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY

Revolutionizing Operations with Applied Stochastic Models
Publisher: WILEYISSN: 1524-1904Frequency: 6 issues/year

Applied Stochastic Models in Business and Industry, published by Wiley, is a preeminent journal dedicated to advancing the field of stochastic modeling in various business and industry contexts. With an ISSN of 1524-1904 and an E-ISSN of 1526-4025, this journal serves as a vital platform for researchers and practitioners aiming to leverage stochastic techniques to address complex decision-making and operational challenges. The journal holds prestigious rankings, including Q2 in Business, Management and Accounting, and has converged years spanning from 1999 to 2024. It is distinguished by its wide scope, focusing on all aspects of modeling and simulation, as well as decision sciences and operations research. Although it does not operate as an open-access journal, its significant impact factor and Scopus rankings ensure that the valuable insights published within reach a broad audience. By fostering high-quality research and discourse, Applied Stochastic Models in Business and Industry plays a crucial role in driving innovation and excellence in its fields.

Operational Research

Advancing the Frontiers of Quantitative Insight.
Publisher: SPRINGER HEIDELBERGISSN: 1109-2858Frequency: 3 issues/year

Operational Research is a premier academic journal published by Springer Heidelberg, focusing on the intersection of advanced computational theory, management science, and operations research. With an ISSN of 1109-2858 and an E-ISSN of 1866-1505, this respected journal serves as a key platform for the dissemination of high-quality research that enhances the understanding and application of quantitative methods across various fields, including technology management, simulation modeling, and statistical analysis. With its impressive performance evidenced by a Q2 ranking in multiple categories such as Computational Theory and Mathematics and Management Science, Operational Research occupies a critical role in the knowledge landscape, reflecting its 88th percentile ranking in decision sciences and numerical analysis per Scopus metrics. While currently not open access, it continues to facilitate the advancement of its disciplines through rigorous peer-review, with a commitment to publishing relevant, impactful studies from 2009 through to 2024. Researchers, professionals, and students alike will find this journal an invaluable resource for staying abreast of significant advancements in operational research methodologies and applications.

Intelligent Systems in Accounting Finance & Management

Bridging technology and finance for smarter solutions.
Publisher: JOHN WILEY & SONS LTDISSN: 1055-615XFrequency: 4 issues/year

Intelligent Systems in Accounting, Finance & Management is a leading journal published by John Wiley & Sons Ltd, recognized for its commitment to advancing knowledge and research in the intersection of artificial intelligence and financial decision-making. With an ISSN of 1055-615X and an E-ISSN of 1099-1174, this journal serves as a vital resource for academics, practitioners, and students interested in the innovative applications of intelligent systems within the realms of accounting, finance, and management. Although it operates under traditional access options, the journal features a wide range of high-quality peer-reviewed articles designed to enhance understanding of complex financial environments and promote effective decision-making through technology. Its editorial standards ensure impactful research that resonates within both theoretical and applied contexts, making it an essential publication for those dedicated to furthering the field of financial intelligence systems.

MANAGEMENT SCIENCE

Empowering research for tomorrow's business challenges.
Publisher: INFORMSISSN: 0025-1909Frequency: 12 issues/year

MANAGEMENT SCIENCE, published by INFORMS, is a premier academic journal that has been a cornerstone of research in the fields of management science and operations research since its inception in 1969. With an impressive impact reflected in its status as a Q1 journal in both Management Science and Operations Research and Strategy and Management, it holds notable rankings in Scopus, including 28th out of 207 in Decision Sciences and 78th out of 478 in Business, Management, and Accounting. This journal provides a platform for groundbreaking research and discourse, making significant contributions to understanding complex management challenges. Although it does not offer open access, the insights and methodologies published within its pages are crucial for researchers, professionals, and students aiming to navigate the evolving landscape of management practices. With its rich history and commitment to advancing knowledge, MANAGEMENT SCIENCE remains an essential resource for those dedicated to leveraging empirical research and theoretical frameworks in the pursuit of effective business solutions.

DECISION SCIENCES

Advancing Knowledge in Decision-Making Excellence
Publisher: WILEYISSN: 0011-7315Frequency: 6 issues/year

DECISION SCIENCES is a premier academic journal published by Wiley, specializing in the field of decision-making across various domains including Business, Management, and Information Systems. With a rich history dating back to 1970 and continuing until 2024, the journal has established itself as a vital resource for researchers, professionals, and students alike, boasting an impressive Q1 ranking in multiple categories such as Management of Technology and Innovation, and Strategy and Management. Recognized for its rigorous peer-review process, DECISION SCIENCES offers a platform for the dissemination of innovative research and practical applications, embracing themes that profoundly influence contemporary decision-making practices. The journal's high impact factor and Scopus rankings place it among the leading journals in its field, making it an essential reading for those seeking to advance their knowledge and expertise in decision sciences.