Business & Information Systems Engineering

Scope & Guideline

Navigating the Future of Business with Robust Research

Introduction

Immerse yourself in the scholarly insights of Business & Information Systems Engineering 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
ISSN2363-7005
PublisherSPRINGER VIEWEG-SPRINGER FACHMEDIEN WIESBADEN GMBH
Support Open AccessNo
CountryGermany
TypeJournal
Convergefrom 2009 to 2024
AbbreviationBUS INFORM SYST ENG+ / Bus. Inf. Syst. Eng.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressABRAHAM-LINCOLN STASSE 46, WIESBADEN 65189, GERMANY

Aims and Scopes

The journal 'Business & Information Systems Engineering' (BISE) serves as a pivotal platform for disseminating cutting-edge research at the intersection of business and information systems. The journal emphasizes a multidisciplinary approach, focusing on the application of information systems in diverse organizational contexts, and aims to advance both theoretical and practical insights.
  1. Business Process Management (BPM):
    A core focus of BISE is the exploration and improvement of business processes through methodologies such as process mining, simulation, and performance assessment. This includes understanding the dynamics of BPM in various sectors and its impact on organizational efficiency.
  2. Digital Transformation and Innovation:
    The journal highlights the role of digital technologies in transforming business models and practices. This encompasses studies on digital entrepreneurship, the adoption of emerging technologies, and the implications of digitalization on organizational structures.
  3. Data Management and Analytics:
    Research on data governance, data quality, and analytics is prominent in BISE, reflecting the importance of managing and leveraging data for strategic decision-making and operational excellence.
  4. Artificial Intelligence and Machine Learning:
    BISE covers the integration of AI and machine learning in business processes, focusing on their application, ethical considerations, and the challenges they pose in organizational contexts.
  5. Sustainability and Corporate Responsibility:
    The journal also addresses themes related to sustainable practices in business and information systems, emphasizing the necessity for responsible digitalization and the ethical implications of technology.
  6. Interdisciplinary Approaches:
    Recognizing the multifaceted nature of information systems, BISE encourages interdisciplinary research that combines insights from technology, management, social sciences, and other fields to enhance understanding and application in real-world scenarios.
The journal 'Business & Information Systems Engineering' reflects emerging trends and themes that are shaping the future of business and information systems. These trends indicate a shift towards more integrated, data-driven, and sustainable approaches in research and practice.
  1. Digital Health and Patient-Centered Care:
    Recent publications show a significant rise in research related to digital health technologies and patient-centered care, highlighting the increasing importance of technology in enhancing healthcare delivery and patient experiences.
  2. Artificial Intelligence and Ethics:
    There is a growing focus on the ethical implications of AI technologies, including fairness, accountability, and transparency. This reflects broader societal concerns regarding the impact of AI on decision-making processes.
  3. Sustainable Business Practices:
    Emerging studies emphasize sustainability and corporate responsibility, exploring how businesses can leverage information systems to promote environmentally friendly practices and social accountability.
  4. Internet of Things (IoT) and Smart Technologies:
    The journal is witnessing an uptick in research related to IoT applications and smart technologies, particularly in areas like smart cities, agriculture, and process optimization, underscoring their transformative potential.
  5. Blockchain and Data Sovereignty:
    Publications are increasingly addressing the implications of blockchain technology for data sovereignty and inter-organizational systems, reflecting a growing interest in decentralized data management solutions.
  6. Collaboration and Remote Work Technologies:
    Research on technologies that facilitate collaboration and remote work has surged, particularly in response to the pandemic. This includes studies on virtual coaching, team dynamics, and the impact of digital tools on productivity.

Declining or Waning

While 'Business & Information Systems Engineering' is continuously evolving, certain themes have shown a decline in prominence over recent years. This shift may reflect changing priorities within the field or a saturation of research in specific areas.
  1. Traditional IT Management Practices:
    Research focusing on conventional IT management frameworks and methodologies appears to be waning, as organizations increasingly adopt agile and digital-first approaches that prioritize flexibility and innovation.
  2. Static Business Models:
    There is a noticeable decrease in studies centered on static or traditional business models. The focus has shifted towards dynamic and adaptable business models that can respond to rapid technological changes and market demands.
  3. Legacy Systems and Maintenance:
    Research addressing legacy systems and their maintenance challenges is less prevalent, likely due to the growing emphasis on modernization and the adoption of cloud-based solutions.
  4. Single Technology Focus Studies:
    Papers that concentrate solely on a single technology without considering its integration into broader business processes or strategic frameworks are becoming less common, as the field moves towards more holistic analyses.
  5. Narrowly Defined User Studies:
    Research that targets very specific user demographics without a broader context or applicability is declining, as the journal increasingly values studies with wider relevance and interdisciplinary insights.

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