Enterprise Information Systems

Scope & Guideline

Pioneering Research for the Digital Enterprise.

Introduction

Delve into the academic richness of Enterprise Information Systems 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
ISSN1751-7575
PublisherTAYLOR & FRANCIS LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 2007 to 2024
AbbreviationENTERP INF SYST-UK / Enterp. Inf. Syst.
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND

Aims and Scopes

The journal 'Enterprise Information Systems' focuses on advancing the knowledge and practice of information systems in enterprise environments. It emphasizes the integration of technology and management practices to enhance business operations and decision-making processes.
  1. Enterprise Information Systems Development:
    Research on the design, implementation, and evaluation of information systems in enterprises, including methodologies for improving system performance and user satisfaction.
  2. Supply Chain Management and Logistics:
    Exploration of technologies and strategies for optimizing supply chain processes, enhancing logistics efficiency, and managing risks associated with supply chain operations.
  3. Adoption and Impact of Emerging Technologies:
    Analysis of the implications of emerging technologies such as blockchain, artificial intelligence, and IoT on enterprise operations, including their adoption challenges and benefits.
  4. Cybersecurity and Information Assurance:
    Investigation into the security challenges faced by enterprises, including the development of frameworks and models to protect sensitive information and ensure data integrity.
  5. Data Analytics and Decision Making:
    Utilization of big data analytics and machine learning techniques to support business decision-making and improve organizational performance.
  6. Sustainability and Corporate Social Responsibility:
    Research on sustainable practices within enterprise systems, focusing on the intersection of technology, human resource management, and environmental impact.
The journal has identified several trending and emerging themes that reflect the evolving landscape of enterprise information systems. These themes are gaining traction and are likely to shape future research directions.
  1. Blockchain Technology Applications:
    There is an increasing focus on the applications of blockchain technology across various industries, particularly in enhancing supply chain transparency and security.
  2. Artificial Intelligence and Machine Learning:
    AI and machine learning are becoming integral to enterprise systems, with research exploring their impact on automation, customer relationship management, and decision-making processes.
  3. Cybersecurity Innovations:
    As enterprises face growing cyber threats, there is a heightened emphasis on innovative cybersecurity strategies and frameworks to protect sensitive data and maintain trust.
  4. Sustainable Practices in Enterprises:
    Research on sustainable business practices and the role of technology in promoting sustainability is gaining importance, reflecting global trends towards environmental responsibility.
  5. Integration of IoT in Business Processes:
    The integration of IoT devices into business processes is a significant emerging theme, focusing on data collection, real-time monitoring, and enhanced operational efficiency.

Declining or Waning

While certain themes continue to thrive, some areas of research within 'Enterprise Information Systems' have shown signs of decline or reduced focus over recent years. This section highlights those waning themes.
  1. Traditional Information Systems:
    Research focusing solely on conventional information systems without integrating modern technologies has seen a decline, as the field moves towards more advanced, integrated systems.
  2. Basic E-commerce Strategies:
    The exploration of basic e-commerce strategies, such as simple online selling mechanisms, has decreased as more sophisticated and integrated approaches gain prominence.
  3. Manual Supply Chain Processes:
    Studies centered on manual or less automated supply chain processes are waning, as there is a shift towards automation and data-driven decision-making in supply chain management.
  4. Generic Risk Management Frameworks:
    Generic frameworks for risk management that do not take into account the unique challenges posed by emerging technologies are becoming less relevant in current research.
  5. Static Customer Relationship Management Models:
    Research on static CRM models that do not incorporate AI and machine learning for dynamic customer insights is losing traction as businesses seek more adaptable solutions.

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