Research Vision

The UGentMIS research vision has been translated into “Business Architecture, Analytics, and Process Management”. It consists of four interrelated research clusters:

  1. Enterprise Modelling & Architecture, coordinated by Prof. dr. Poels
  2. BPM – Technological perspective, coordinated by Prof. dr. Gailly
  3. BPM – Organizational perspective, coordinated by Prof. dr. Van Looy
  4. Business Analytics, coordinated by Prof. dr vanden Broucke

Across these clusters, different themes have been identified on which (future) research may particularly focus, such as SMEs, public sector, healthcare, service sector, business-IT consultancy and disruptive technologies. Every theme has one or more expert(s) within the MIS research group.

Enterprise Modelling & Architecture research cluster

How to ensure that digital technologies deliver value?

Enterprise Modelling (EM) is the process of building models of whole or part of an enterprise with process/data/other models and/or new ontologies. It is based on knowledge about the enterprise, including previous/reference models as well as domain ontologies using model representation languages.

Enterprise Architecture (EA) is a discipline within Business Informatics that studies the joint design, implementation and management of an organization’s business, data, application and ICT infrastructures. Key objectives of EA are enterprise coherence, strategic alignment and the functional integration of all component architectures (i.e., business/IT alignment).

This research cluster investigates the conceptualization, representation, visualization and analysis of business architecture components in relation to the other enterprise architecture components. The focus of the research can be one or more of the following: goals, strategic plans, business models, value models, capabilities, business services, business processes, etc. Through investigating the modeling of these concepts we aim at improving the understanding, communication and design of an organization’s business architecture and supporting systems. Pertinent research questions relate to issues of goal satisfaction and strategic fit, value delivery, and capability-oriented thinking. Past and current research includes the conceptualization of business services and service systems, decision-support for value-driven strategic sourcing, the design of personalized information flows for tactical managers, and the strategic fit of business process architectures.

The main application fields are SMEs, which require specific EA solutions, and the business/ICT consultancy sector, which requires analytical decision support for the creation of digital enterprises exploiting opportunities offered by (potentially) disruptive information and communication technologies. This research cluster further focuses on fundamental research questions related to its primary research method, conceptual modeling, with specific attention for quality and efficiency issues (e.g., investigating the mechanisms and benefits of pattern-based modeling).

Business Process Management – Organisational Perspective research cluster

How to digitally innovate business processes?

Business Process Management (BPM) is a key research line within the MIS research group, and focuses on both the organizational and technical (methods and tools) aspects of business processes.

The organisational perspective research cluster investigates the organisational aspects of business processes and Business Process Management (BPM). In particular, this perspective examines the managerial aspects related to business processes (e.g. skills and training of process participants and process managers, strategic alignment, stakeholder relationship management) and the impact of a process-oriented way of working on an organization’s culture (e.g. values, attitudes and behaviors, rewards and appraisals and top management commitment) and structure (e.g. organogram and governance bodies). As such, it concerns a multidisciplinary pillar, aiming at creating synergies between the domains of business informatics and organization management (e.g. human resources management) in order to enhance the efficiency and effectiveness of business processes and business (process) performance in general. This perspective also helps organizations reorganize properly and take advantage of digital transformation by investigating best practices to become more process-oriented, and this by considering a fit with an organization’s business context.

Business Process Management – Methods and Tools Perspective research cluster

How to better support business processes?

Business Process Management (BPM) is a key research line within the MIS research group, and focuses on both the organizational and technical (methods and tools) aspects of business processes.

The technical perspective is about supporting business processes using methods, techniques, and software to design, enact, control, and analyse operational processes involving humans, organizations, applications, documents and other sources of information.

This research cluster follows the design science research paradigm during the development of methods, techniques and tools that can be used to discover, model, and execute knowledge intensive business processes. Knowledge intensive processes require specific methods and tools because the tacit knowledge of the process participants plays a fundamental role in the actual execution of the process. During the development of these BPM artefacts specific attention is paid to how process mining techniques, ontologies, decision modelling and recommendation systems can support the discovery, the modelling and execution of knowledge intensive processes.

In line with the identified application fields of the research group, the developed artefacts are primarily demonstrated and evaluated in the context of the public sector, healthcare and the service sector. These sectors are selected because they primarily consist of knowledge intensive processes.

Business Analytics research cluster

How to use organizational data to gain new insights?

Business Analytics refers to the process by which organizations use statistical, data mining, machine learning and artificial intelligence (AI) methods and technologies for analyzing historical data in order to gain new insight and improve decision-making. Very commonly, this involves the construction of predictive models which are trained on historical data and subsequently deployed to provide ongoing intelligence to the business end-users.

This research cluster focuses on the application of data science in an organizational context. Various specific use cases can be defined in line with different application fields, including marketing analytics (the application of predictive models to model customer retention, development of propensity models, etc.), fraud analytics (e.g. in finance or insurance), etc.