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Designing mixed-method research inspired by a critical realism philosophy: a tale from the field of IS innovation

Zachariadis, M., Scott, Susan V. and Barrett, Michael I. (2010) Designing mixed-method research inspired by a critical realism philosophy: a tale from the field of IS innovation. In: Thirty First International Conference on Information Systems 2010, 2010-12-12 - 2010-12-15.

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Abstract

Despite the call for pluralism in IS research there is a lack of multi-method research published in information systems journals. While many researchers might find the idea of using multiple methods attractive, there are barriers that prevent them from employing this approach in practice. In this paper we try to address key philosophical concerns that often deter more extensive use of multiple methods, encourage openness to innovative methodological choices, and deepen practical understanding about how critical realism can be used as the foundation of IS research designs. We begin by exploring the value of critical realism as a theoretical foundation for mixed-method information systems research. After discussing the debate surrounding quantitative methods (especially within economics) among critical realists, we propose making the identification of demi-regularities pivotal to the design of qualitative fieldwork. To provide support for this approach we present evidence from a study on the economic impact of IS innovation adoption in financial services which we believe highlights the value of multiple methods to inspire and inform the research process as it unfolds.

Item Type: Conference or Workshop Item (Paper)
Official URL: http://aisel.aisnet.org/
Additional Information: © 2010 The Authors
Divisions: Management
Centre for Economic Performance
Centre for Analysis of Risk & Regulation
Subjects: B Philosophy. Psychology. Religion > B Philosophy (General)
H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Sets: Departments > Management
Research centres and groups > Centre for Economic Performance (CEP)
Research centres and groups > Centre for Analysis of Risk and Regulation (CARR)
Research centres and groups > Information Systems and Innovation Group
Date Deposited: 14 Jul 2014 15:50
Last Modified: 20 Feb 2019 18:21
URI: http://eprints.lse.ac.uk/id/eprint/57623

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