Developing Ontological Theories for Conceptual Models using Qualitative Research

Conceptual modelling is believed to be at the core of the IS discipline. There have been attempts to develop theoretical foundations for conceptual models, in particular ontological models as axiomatic reference systems. Although the notion of ontology has become popular in modelling theories, criticism has risen as to its philosophical presuppositions. Taking on this criticism, we discuss the task of developing socially constructed ontologies for modelling domains and outline how to enhance the expressiveness of ontological modelling theories by developing them via qualitative research methods such as Grounded Theory

The rationale for a wider concept of Inclusive Education for teacher education: A case-study of Serbia

Teacher education for inclusive education (IE) is recognized as vital for improving quality and equity in education globally. In the Western Balkan countries it is also part of the transition process towards joining the European Union and has attracted international funding for IE-related projects. A key finding from research funded by the European Training Foundation, carried out by the authors as members of a seven-country research team in 2009-2010, was that the prevailing local understanding of IE was very narrow. In this article we hypothesize the reasons for this finding. We use a case study of school and teacher education systems in Serbia to explore how this understanding has constrained the development of IE and associated teacher education and limited the efficacy of some recent internationally supported developments. We identify both challenges and possible ways forward for teacher education for IE based on promoting a concept of IE that is both collaboratively agreed and comprehensive. © 2012 UNESCO IBE

The influence of organizational culture on the outcome of an IS implementation

A number of information system (IS) studies have adopted organizational culture (OC) theory to investigate IS implementations. The studies highlight that members will reach consensus or agreement in the use of an IS but also experience inevitable tensions and ambiguities in the use of the IS. However, literature related to IS implementation/OC has rarely examined the influence that the saliency of specific cultural practices may have on the success or failure of IS implementations. Using a case study approach, we adopted the “soft positivism” research philosophy to collect data, underpinned by Martin’s (1992) integration and differentiation perspectives of OC to study organizational implementation of an IS. These perspectives served as interpretive lenses through which to explain how members’ salient behaviors towards an IS evolved during the implementation process. Our study augments the IS implementation/OC literature by demonstrating how salient cultural practices influence the outcome of IS implementatio

Poznawcze przesłanki semiozy zorientowanej na mit

This article addresses the cognitive premises of designation units denoting mythic concepts in a variety of texts and discourses. The article focuses on myth-oriented semiosis as a cognitive and cultural phenomenon reflected in the semantic transformations of lingual signs, resulting in the development of noematic senses relevant to the states of affairs in diverse worldviews or modelled alternative realities. This article provides an analysis of the basic cognitive models and procedures responsible for irrational cognition. The reconstructed cognitive models are then discussed in terms of their correspondence with the universal patterns of open system interaction and information exchange.Ten artykuł dotyczy poznawczych przesłanek jednostek desygnacyjnych oznaczających mityczne pojęcia w różnych tekstach i dyskursach. Artykuł koncentruje się na semiozie zorientowanej na mit jako zjawisku poznawczym i kulturowym odzwierciedlonym w semantycznych przekształceniach znaków językowych, co skutkuje rozwojem noematycznych zmysłów związanych ze stanami rzeczy w różnych światopoglądach lub modelowanych alternatywnych rzeczywistościach. Ten artykuł zawiera analizę podstawowych modeli i procedur poznawczych odpowiedzialnych za irracjonalne poznanie. Zrekonstruowane modele poznawcze są następnie omawiane pod kątem ich zgodności z uniwersalnymi wzorcami interakcji otwartego systemu i wymiany informacji

OntoEng: A design method for ontology engineering in information systems

This paper addresses the design problem relating to ontology engineering in the discipline of information systems. Ontology engineering is a realm that covers issues related to ontology development and use throughout its life span. Nowadays, ontology as a new innovation promises to improve the design, semantic integration, and utilization of information systems. Ontologies are the backbone of knowledge-based systems. In addition, they establish sharable and reusable common understanding of specific domains amongst people, information systems, and software agents. Notwithstanding, the ontology engineering literature does not provide adequate guidance on how to build, evaluate, and maintain ontologies. On the basis of the gathered experience during the development of V4 Telecoms Business Model Ontology as well as the conducted integration of the related literature from the design science paradigm, this paper introduces OntoEng and its application as a novel systematic design method for ontology engineering

Towards evaluation design for smart city development

Smart city developments integrate digital, human, and physical systems in the built environment. With growing urbanization and widespread developments, identifying suitable evaluation methodologies is important. Case-study research across five UK cities - Birmingham, Bristol, Manchester, Milton Keynes and Peterborough - revealed that city evaluation approaches were principally project-focused with city-level evaluation plans at early stages. Key challenges centred on selecting suitable evaluation methodologies to evidence urban value and outcomes, addressing city authority requirements. Recommendations for evaluation design draw on urban studies and measurement frameworks, capitalizing on big data opportunities and developing appropriate, valid, credible integrative approaches across projects, programmes and city-level developments

Measuring relative opinion from location-based social media: A case study of the 2016 U.S. presidential election

Social media has become an emerging alternative to opinion polls for public opinion collection, while it is still posing many challenges as a passive data source, such as structurelessness, quantifiability, and representativeness. Social media data with geotags provide new opportunities to unveil the geographic locations of users expressing their opinions. This paper aims to answer two questions: 1) whether quantifiable measurement of public opinion can be obtained from social media and 2) whether it can produce better or complementary measures compared to opinion polls. This research proposes a novel approach to measure the relative opinion of Twitter users towards public issues in order to accommodate more complex opinion structures and take advantage of the geography pertaining to the public issues. To ensure that this new measure is technically feasible, a modeling framework is developed including building a training dataset by adopting a state-of-the-art approach and devising a new deep learning method called Opinion-Oriented Word Embedding. With a case study of the tweets selected for the 2016 U.S. presidential election, we demonstrate the predictive superiority of our relative opinion approach and we show how it can aid visual analytics and support opinion predictions. Although the relative opinion measure is proved to be more robust compared to polling, our study also suggests that the former can advantageously complement the later in opinion prediction

Cognitive modeling of social behaviors

To understand both individual cognition and collective activity, perhaps the greatest opportunity today is to integrate the cognitive modeling approach (which stresses how beliefs are formed and drive behavior) with social studies (which stress how relationships and informal practices drive behavior). The crucial insight is that norms are conceptualized in the individual mind as ways of carrying out activities. This requires for the psychologist a shift from only modeling goals and tasks —why people do what they do—to modeling behavioral patterns—what people do—as they are engaged in purposeful activities. Instead of a model that exclusively deduces actions from goals, behaviors are also, if not primarily, driven by broader patterns of chronological and located activities (akin to scripts). To illustrate these ideas, this article presents an extract from a Brahms simulation of the Flashline Mars Arctic Research Station (FMARS), in which a crew of six people are living and working for a week, physically simulating a Mars surface mission. The example focuses on the simulation of a planning meeting, showing how physiological constraints (e.g., hunger, fatigue), facilities (e.g., the habitat’s layout) and group decision making interact. Methods are described for constructing such a model of practice, from video and first-hand observation, and how this modeling approach changes how one relates goals, knowledge, and cognitive architecture. The resulting simulation model is a powerful complement to task analysis and knowledge-based simulations of reasoning, with many practical applications for work system design, operations management, and training