More Enduring Questions in Cognitive IS Research: A Reply

In this short reply, Michael Davern, Teresa Shaft, and Dov Te\u27eni respond to Glenn Brown and Jeffrey Parson\u27s dialogue paper, More enduring questions in cognitive IS research

The Link Between Data Modeling ApproachesAnd Philosophical Assumptions: A Critique

Hirschheim et al. (1995) argue that information system designers\u27 choice of a particular data modeling approach is inextricably linked to ontological, epistemological, social-contextual, and representational assumptions that they make about the worlds they seek to represent via their models. I argue, instead, that the link between different data modeling approaches and these four sets of assumptions is either weak or non-existent. I agree that there is some type of association between use of a particular data modeling approach and the ontological assumptions that designers make. The nature of the links, however, between different data modeling approaches and different epistemological, social-contextual, and representational assumptions is more problematical

THE EFFECTS OF LEARNING STYLES AND MODELING TECHNIQUES ON REQUIREMENT DOCUMENTATION PERFORMANCE

The present study examines the effect of Individual Learning Style on modeling functional requirements. To-date, there is noevidence that individual cognitive learning styles are related to modeling ability in novice systems analysts. The results ofthis study indicate that in teaching functional requirement techniques, novices with abstract learning styles perform as well asthose with concrete learning styles

An Ontological Basis for Design Methods

This paper presents a view of design methods as process artefacts that can be represented using the function-behaviour-structure (FBS) ontology. This view allows identifying five fundamental approaches to methods: black-box, procedural, artefact-centric, formal and managerial approaches. They all describe method structure but emphasise different aspects of it. Capturing these differences addresses common terminological confusions relating to methods. The paper provides an overview of the use of the fundamental method approaches for different purposes in designing. In addition, the FBS ontology is used for developing a notion of prescriptiveness of design methods as an aggregate construct defined along four dimensions: certainty, granularity, flexibility and authority. The work presented in this paper provides an ontological basis for describing, understanding and managing design methods throughout their life cycle. Keywords: Design Methods; Function-Behaviour-Structure (FBS) Ontology; Prescriptive Design Knowledge</p

Do Process Modelling Techniques Get Better? A Comparative Ontological Analysis of BPMN

Current initiatives in the field of Business Process Management (BPM) strive for the development of a BPM standard notation by pushing the Business Process Modeling Notation (BPMN). However, such a proposed standard notation needs to be carefully examined. Ontological analysis is an established theoretical approach to evaluating modelling techniques. This paper reports on the outcomes of an ontological analysis of BPMN and explores identified issues by reporting on interviews conducted with BPMN users in Australia. Complementing this analysis we consolidate our findings with previous ontological analyses of process modelling notations to deliver a comprehensive assessment of BPMN

Stakeholder Experiences with Conceptual Modeling: An Empirical Investigation

During the design of an information system, a significant task that is sometimes undertaken is conceptual modeling. It involves designers building a representation called a conceptual schema that captures application domain features to be included in the information system. For five reasons, conceptual modeling has become increasingly important: (1) conceptual schemas help clarify different assumptions that stakeholders hold about the domain being modeled; (2) integrating conceptual schemas is critical to organizations effectively re-engineering their business processes; (3) the quality of conceptual schemas affects the quality of database schemas that can be generated automatically; (4) the quality of conceptual schemas affects the usability of databases; and (5) stakeholders working with distributed, heterogeneous databases cannot effectively transcend boundaries without high-quality conceptual schemas. While researchers have expended substantial effort on developing conceptual modeling methodologies, little empirical work has been done on stakeholder experiences with conceptual modeling. The meager results obtained suggest that organizations have found few benefits from conceptual modeling and that often it has fallen into disuse. Laboratory work indicates, however, that improved design outcomes occur when conceptual modeling is undertaken. For two reasons, we expect that stakeholders will experience problems with using conceptual modeling in practice. First, we believe that many designers approach conceptual modeling with a functionalist view of the world. We believe that a social relativist view more accurately describes how stakeholders conceive the world. Second, many conceptual modeling tools provide only incomplete representations of the application domain to be modeled. We are currently undertaking case-study research to document the conceptual modeling practices engaged in by a large public-sector organization. We are also seeking to identify the problems that stakeholders experi- ence when they participate in conceptual modeling exercises. Our goal is to provide a taxonomy of problems that the stakeholders face and ultimately to develop theory to account for why these problems occur

Construct redundancy in process modelling grammars: Improving the explanatory power of ontological analysis

Conceptual modelling supports developers and users of information systems in areas of documentation, analysis or system redesign. The ongoing interest in the modelling of business processes has led to a variety of different grammars, raising the question of the quality of these grammars for modelling. An established way of evaluating the quality of a modelling grammar is by means of an ontological analysis, which can determine the extent to which grammars contain construct deficit, overload, excess or redundancy. While several studies have shown the relevance of most of these criteria, predictions about construct redundancy have yielded inconsistent results in the past, with some studies suggesting that redundancy may even be beneficial for modelling in practice. In this paper we seek to contribute to clarifying the concept of construct redundancy by introducing a revision to the ontological analysis method. Based on the concept of inheritance we propose an approach that distinguishes between specialized and distinct construct redundancy. We demonstrate the potential explanatory power of the revised method by reviewing and clarifying previous results found in the literature