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Journal of Modelling in Management provides a forum those in business and management modelling. It analyses the conceptual antecedents and theoretical underpinnings leading to research modelling processes which inform research and practice.

ISSN: 1746-5664
eISSN: 1746-5664

Aims and scope

Journal of Modelling in Management (JM2) analyses the conceptual antecedents and theoretical underpinnings leading to research modelling processes which derive useful consequences in terms of management science, business and management implementation and applications.

Editorial criteria

JM2 is focused on the utilization of management data, which is amenable to research modelling processes, and welcomes academic papers that not only encompass the whole research process (from conceptualization to managerial implications) but also make explicit the individual links between 'antecedents and modelling' (how to tackle certain problems) and 'modelling and consequences' (how to apply the models and draw appropriate conclusions). The journal is particularly interested in innovative methodological and statistical modelling processes and those models that result in clear and justified managerial decisions.


JM2 specifically promotes and supports research writing, that engages in an academically rigorous manner, in areas related to research modelling such as:

  • A priori theorizing conceptual models
  • Artificial intelligence, machine learning
  • Association rule mining, clustering, feature selection   
  • Business analytics: Descriptive, Predictive, and Prescriptive Analytics
  • Causal analytics: structural equation modeling, partial least squares modeling  
  • Computable general equilibrium models
  • Computer-based models
  • Data mining, data analytics with big data
  • Decision support systems and business intelligence
  • Econometric models
  • Fuzzy logic modeling
  • Generalized linear models
  • Multi-attribute decision-making models
  • Non-linear models
  • Optimization
  • Simulation models
  • Statistical decision models
  • Statistical inference making and probabilistic modeling
  • Text mining, web mining, and visual analytics
  • Uncertainty-based reasoning models

JM2's ethos is focused on the utilization of management data which is susceptible to research modelling processes. The main management disciplines from which submissions derive are:

  • Business analytics
  • Audit and accounting
  • Energy management and climate economics
  • Entrepreneurship
  • Financial engineering
  • Healthcare management
  • Human resource management and organizational behavior
  • Information systems management
  • Innovation management and technology management
  • International business management and small business management
  • Management Science
  • Medical informatics 
  • Operations management
  • Organizational systems
  • Performance management and productivity management
  • Risk management
  • Strategy and marketing
  • Supply chain management

Unique attributes

JM2 is the only journal that supports multi-disciplinary studies related to research modelling in business and management. JM2 actively encourages the advancement of knowledge and is committed to publishing research that provides sufficient clarity to produce unambiguous, testable and stable implications

This journal is aligned with our responsible management goal

We aim to champion researchers, practitioners, policymakers and organisations who share our goals of contributing to a more ethical, responsible and sustainable way of working.

SDG 2 Zero hunger
SDG 8 Decent work & economic growth
SDG 9 Industry, innovation & infrastructure
SDG 10 Reduced inequalities
SDG 11 Sustainable cities & communities
SDG 12 Responsible consumption & production
SDG 13 Climate action
Find out about our responsible management goal