On the quest for multi-methods in IS evaluation: A qualitative comparative analysis

Federico Iannacci; T. Cornford

On the quest for multi-methods in IS evaluation: A qualitative comparative analysis

Federico Iannacci
, T. Cornford

Research output: Contribution to conference › Paper

Abstract

This paper responds to calls for new approaches to IS evaluation. It does this by introducing fuzzy-set Qualitative Comparative Analysis as a new IS evaluation approach that augments the qualitative tradition by supporting cross-case analysis and theory development. Rather than disaggregating cases into independent, analytically-separate variables, fuzzy-set Qualitative Comparative Analysis advocates an approach to IS evaluation which explores the holistic effects of causal conditions working in conjunction with each other.

The paper uses qualitative coding procedures and fuzzy-set Qualitative Comparative Analysis in a sequential manner to discover two typologies of monitoring systems success based on automated and manual validations respectively. Theoretical, methodological and practical implications of the use of fuzzy-set Qualitative Comparative Analysis are discussed in the context of a multi-case evaluation of monitoring systems established in the course of the implementation of a major European Union socio-economic support programme.

Original language	English
Publication status	Completed - 5 May 2017
Event	British Academy of Management - Duration: 1 Jan 2014 → …

Conference

Conference	British Academy of Management
Period	1/01/14 → …

Keywords

Information systems
Evaluation

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title = "On the quest for multi-methods in IS evaluation: A qualitative comparative analysis",

abstract = "This paper responds to calls for new approaches to IS evaluation. It does this by introducing fuzzy-set Qualitative Comparative Analysis as a new IS evaluation approach that augments the qualitative tradition by supporting cross-case analysis and theory development. Rather than disaggregating cases into independent, analytically-separate variables, fuzzy-set Qualitative Comparative Analysis advocates an approach to IS evaluation which explores the holistic effects of causal conditions working in conjunction with each other. The paper uses qualitative coding procedures and fuzzy-set Qualitative Comparative Analysis in a sequential manner to discover two typologies of monitoring systems success based on automated and manual validations respectively. Theoretical, methodological and practical implications of the use of fuzzy-set Qualitative Comparative Analysis are discussed in the context of a multi-case evaluation of monitoring systems established in the course of the implementation of a major European Union socio-economic support programme.",

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AU - Cornford, T.

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AB - This paper responds to calls for new approaches to IS evaluation. It does this by introducing fuzzy-set Qualitative Comparative Analysis as a new IS evaluation approach that augments the qualitative tradition by supporting cross-case analysis and theory development. Rather than disaggregating cases into independent, analytically-separate variables, fuzzy-set Qualitative Comparative Analysis advocates an approach to IS evaluation which explores the holistic effects of causal conditions working in conjunction with each other. The paper uses qualitative coding procedures and fuzzy-set Qualitative Comparative Analysis in a sequential manner to discover two typologies of monitoring systems success based on automated and manual validations respectively. Theoretical, methodological and practical implications of the use of fuzzy-set Qualitative Comparative Analysis are discussed in the context of a multi-case evaluation of monitoring systems established in the course of the implementation of a major European Union socio-economic support programme.

KW - Information systems

KW - Evaluation

UR - http://onlinelibrary.wiley.com/doi/10.1111/isj.12145/abstract;jsessionid=0F02C6FF0F2F7D55BC081E8D2DED442E.f02t03

M3 - Paper

T2 - British Academy of Management

Y2 - 1 January 2014

ER -

On the quest for multi-methods in IS evaluation: A qualitative comparative analysis

Abstract

Conference

Keywords

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