Overview

The International Journal of Enterprise Modelling serves as a venue for anyone interested in business and management modelling. It investigates the conceptual forerunners and theoretical underpinnings that lead to research modelling procedures that inform research and practice.

Aims and scope

The International Journal of Enterprise Modelling examines the conceptual antecedents and theoretical underpinnings that lead to research modelling processes that yield beneficial outcomes in terms of management science, business, and management implementation and applications.

Editorial criteria

JInternational Journal of Enterprise Modelling focuses on the utilization of management data that is amenable to research modelling processes, and welcomes academic papers that not only encompass the entire research process (from conceptualization to managerial implications) but also make explicit the individual links between 'antecedents and modelling' (how to approach particular problems) and'modelling and consequences' (how to apply the models and draw appropriate conclusions). The journal is especially interested in novel methodological and statistical modelling processes, as well as models that result in transparent and justifiable managerial decisions.

Coverage

International Journal of Enterprise Modelling specifically promotes and supports academically rigorous research writing in areas associated with research modelling, such as:

  • A priori theorizing conceptual models
  • Aggregation of preferences based on soft computing
  • Analysis of Conceptual Models and Modeling Languages
  • Analysis Patterns, Design Patterns, Architectural Patterns
  • Applications of Conceptual Modeling in Organizations
  • Applications of OR techniques
  • Applications of the intelligent decision support systems as in supplier selection, ensemble classifiers, portfolio selection, resource allocation, social networks, and Web.
  • Association rule mining, clustering, feature selection   
  • Audit and accounting
  • Business analytics
  • Business analytics: Descriptive, Predictive, and Prescriptive Analytics
  • Business intelligence
  • Business Digital
  • Business Process Management
  • Causal analytics: structural equation modeling, partial least squares modeling  
  • Cognitive sciences
  • Collaborative decision making
  • Comparison analysis regarding different intelligent decision making models
  • Computable general equilibrium models
  • Computational Intelligence
  • Computer-based models
  • Computing and information technologies
  • Consistency issues in preference modeling
  • Context awareness, modeling, and management for DMSS
  • Continuous and discrete optimization
  • Data mining, data analytics with big data
  • Data warehousing, online analytical processing and big data analytics
  • Datamining
  • Decision analysis and decision support
  • Decision engineering
  • Decision Support System
  • Decision support systems and business intelligence
  • Decision theory/analysis
  • DMSS data capture, storage, and retrieval
  • DMSS feedback control mechanisms
  • DMSS function integration strategies and mechanisms
  • DMSS model capture, storage, and retrieval
  • DMSS network strategies and mechanisms
  • DMSS output presentation and capture
  • DMSS software algorithms
  • DMSS system and user dialog methods
  • DMSS system design, development, testing, and implementation
  • DMSS technology evaluation
  • DMSS technology organization and management
  • DSS foundations and development
  • Econometric models
  • Effective use of scarce resources under dynamic/uncertain conditions
  • Electronic commerce
  • Energy management and climate economics
  • Engineering Management
  • Enterprise Architecture Management
  • Enterprise Architectures, Information Systems Architectures
  • Entrepreneurship
  • Environment, energy and natural resources
  • Evaluation and Quality of Conceptual Models, Architectures, and Languages
  • Executive support systems and workflow management systems
  • Fuzzy consensus and decision making in Web frameworks
  • Fuzzy logic modeling
  • Fuzzy preference modeling in intelligent decision support systems
  • General Purpose and Domain-Specific Modeling Languages
  • Generalized linear models
  • Healthcare management
  • Heuristics
  • Human resource management and organizational behavior
  • Industrial Engineering
  • Information Management
  • Information Systems Design and Design Methods
  • Information Systems Development Methods and Tools
  • Information systems management
  • Information Technology
  • Information technology and OR theory/applications
  • Innovation management and technology management
  • Innovative Approaches to Conceptual Modeling
  • Intelligent decision making in complex and dynamic contexts
  • Intelligent decision making system for big data
  • Intelligent negotiation systems
  • International business management and small business management
  • Inventory Management
  • Knowledge Management
  • Learning and Teaching Conceptual Modeling
  • Logistics and OR models/techniques
  • Manufacturing and operations heory/practice
  • Manufacturing industries
  • Marketing engineering
  • Markov chains
  • Mathematics
  • Medical informatics 
  • Military and homeland security
  • Military and OR models
  • Missing preferences in the intelligent decision making
  • Model-Driven Development, Models@run-time, Executable Models
  • Modeling Methods, Metamodeling, Method Engineering
  • Multi-attribute decision-making models
  • Multicriteria DSS
  • Non-linear models
  • Ontologies and Reference Models
  • Operational research and management science
  • Operations management
  • Operations models in services
  • Optimization
  • OR and telecommunication/networking
  • OR in public sector organisations
  • OR techniques in finance, marketing
  • Organisational DSS
  • Organizational Behavior
  • Organizational systems
  • Other related technology issues that impact the overall utilization and management of DMSS in real life and organizations
  • Performance management and productivity management
  • Planning and scheduling
  • Policy modeling and public sector
  • Probabilistic and stochastic models
  • Production Management
  • Public and private DMSS applications
  • Queuing theory
  • Relevant DSS applications in areas other than those mentioned above
  • Revenue & risk management
  • Risk management
  • Services management
  • Simulation
  • Simulation models
  • Software Tools for Conceptual and Enterprise Modeling, Business Process
  • Management and Enterprise Architecture Management
  • Spatial DSS
  • Statistical decision models
  • Statistical inference making and probabilistic modeling
  • Statistics modelling
  • Stochastic models
  • Strategic Management
  • Strategy and marketing
  • Supply and Operations Management
  • Supply chain management
  • Systems Engineering
  • Text mining, web mining, and visual analytics
  • Uncertainty-based reasoning models
  • Web-based and mobile DMSS technologies

Unique attributes

International Journal of Enterprise Modelling is the only journal that publishes multidisciplinary studies on business and management research modelling. International Journal of Enterprise Modelling is committed to publishing research that provides sufficient clarity to generate unambiguous, testable, and stable conclusions.