Start Date
12-17-2013
Description
Representing organizational reality in conceptual models is an important part of IS practice. In this paper we expose and challenge the taken-for-granted ontological and epistemological assumptions that underpin common accounts of conceptual modeling, using process modeling as an example. We argue that, due to an implicit commitment to a dualist ontology and representationalist epistemology, much literature regards the elicitation and representation of reality in the course of modeling as largely unproblematic. We draw on Martin Heidegger’s holistic philosophy to give an alternative analysis that brings to the fore challenges in 1) eliciting knowledge of routine activities, 2) capturing knowledge from domain experts and 3) representing organizational reality in authentic ways. As a result we come to see modeling as a practice that performs particular realities rather than simply representing a given reality. We hope to initiate a critical discussion on the implications of the current philosophical grounding of conceptual modeling.
Recommended Citation
Riemer, Kai; Johnston, Robert; Hovorka, Dirk; and Indulska, Marta, "Challenging the Philosophical Foundations of Modeling Organizational Reality: The Case of Process Modeling" (2013). ICIS 2013 Proceedings. 4.
https://aisel.aisnet.org/icis2013/proceedings/BreakthroughIdeas/4
Challenging the Philosophical Foundations of Modeling Organizational Reality: The Case of Process Modeling
Representing organizational reality in conceptual models is an important part of IS practice. In this paper we expose and challenge the taken-for-granted ontological and epistemological assumptions that underpin common accounts of conceptual modeling, using process modeling as an example. We argue that, due to an implicit commitment to a dualist ontology and representationalist epistemology, much literature regards the elicitation and representation of reality in the course of modeling as largely unproblematic. We draw on Martin Heidegger’s holistic philosophy to give an alternative analysis that brings to the fore challenges in 1) eliciting knowledge of routine activities, 2) capturing knowledge from domain experts and 3) representing organizational reality in authentic ways. As a result we come to see modeling as a practice that performs particular realities rather than simply representing a given reality. We hope to initiate a critical discussion on the implications of the current philosophical grounding of conceptual modeling.