PRR Project

Summary

EELab, within NOVA LINCS, advances the field of Enterprise Engineering (EE). EE uses theories, methods, and tools to improve organisations´ design and operation. It represents organisational realities in precise models, enabling informed change, optimisation, and identifying Information Systems (IS) requirements crucial in today´s digital transformations.EELab developed DISME (Dynamic Information System Modeller and Executer), a unique model-based no-code platform (NCP) using the Design and Engineering Methodology for Organisations (DEMO) standard language. DISME empowers citizen developers by eliminating code writing and keeping all system elements within the model, maximising capabilities and accessibility.Conceptual modelling underpins many IS activities, helping stakeholders understand organisational structure, data flow, and software interactions. Early modelling errors can be costly, so clear communication and intuitive representations are crucial. EELab researches and develops new domain-specific modelling languages and revises existing ones, focusing on UX and computational offloading for efficient understanding.NCP minimises coding, allowing users with diverse backgrounds to build IS easily. NCPs empower non-programmers, but effective adoption hinges on user-friendly interfaces and intuitive design. EELab emphasises research on usability and UX to accelerate the growth and impact of the NCP.EELab´s ongoing advancements in DEMO and DISME have yielded promising improvements. However, a crucial challenge remains: ensuring that these evolving models and systems are highly accessible and usable by both citizen developers and end users. With a thorough understanding of usability, user experience (UX), and other cognitive factors, EELab can avoid hindering adoption, which limits their work’s impact. Thus, a pressing need for an expert in assessing these factors and their implementations in NCP grows. A fellow researcher will be pivotal in advancing research endeavours and undertaking diverse investigation, analysis, management, and teaching responsibilities.Objectives of the position:. Drive impactful research by evaluating the usability, UX, and other human factors for citizen developers and end users in the IS models and NCPs.. Through rigorous studies and data-driven insights, demonstrably boost companies’ efficiency and satisfaction, ultimately contributing to EELab´s mission of organisational efficacy enhancement.. Share expertise, facilitate discussions, and promote critical thinking in the ISE field.Key responsibilities:. State-of-the-Art: Conduct comprehensive literature reviews in evaluating IS modelling representations and implementation, as well as for NCP.. Data Acquisition & Analysis: Coordinate data collection efforts through various methodologies (e.g., experiments, case studies, surveys, interviews). It encompasses designing instruments, crafting interview questions, and employing qualitative/quantitative techniques to extract insights.. IS Modelling & Implementation: Collaborate in producing models for implementing IS in DISME.. Ontology Development: Collaboratively refine and validate ontologies capturing core enterprise concepts.. Teaching duties: Deliver advanced EE, DEMO and DISME training via short courses (e.g., within Smart Islands EDIH) and more extended programs (bachelor/master) to attract and develop young researchers.. Proposal Writing: Craft compelling research proposals to secure funding, including the budget estimation.. Project Management: Collaborate in EELab research and innovation projects, namely in planning, execution, and documentation, ensuring they are within budget and schedule.. Collaboration & Communication: Contribute to multidisciplinary teams, sharing insights and effectively communicating findings.. Ethical Conduct: Adhere to ethical guidelines and ensure responsible research practices.Qualifications – Required:. PhD in Information Engineering, Information Systems, Psychology, or a related discipline. Research skills: Experience in conducting rigorous research, including designing studies, collecting data, and interpreting findings. Data analysis: Proficient in using quantitative/qualitative methods to analyse data and draw meaningful conclusions. Expertise in UX: Experience evaluating IS and models´ usability & user satisfaction. EE expertise: Experience translating organisational reality using EE principles and methodologies. Communication: Excellent communication and collaboration skills to work effectively among multidisciplinary teams. Ethic: Commitment to adhere to ethical research principles and practices – Preferred:. Experience with EE & DEMO data collection and analysis techniques. Detail-oriented, strong organisational & time management skills. Independent initiative in problem-solving. Publication record in peer-reviewed journals and conferences. Experience in research project management positions. Experience in teaching positions