SPICE Frame Work: A Tool for Analysis of Large Processual Data
19 Pages Posted: 6 Oct 2017 Last revised: 5 Nov 2017
Date Written: October 4, 2017
The paradigm wars have led to dominance of instrumentality over purpose in the application of research methods resulting in journals showing distinct but hidden preferences for methodology driven articles. The bigger impact has been very poor theory development.
Theories are crucially dependent upon establishment of causal linkages between factors identified in a phenomenon. It requires qualitative case based methodology to generate it and once established quantitative methods allow extension and validation of the theory. The very process of theory generation has been hampered by the debate on issues of validity and replication. What limits in numbers of cases must be sourced to successfully establish causal phenomenon is still a subject of debate. When multiple cases are used as part of case research strategy, issues of presentation of findings and critically ability to use strategies in theorirising from volume of process data come to the fore.
Missing is a framework which would enable use of multiple case based designs regularly in research on management and allow use of generic heuristics to analyze process data. This paper generates such a generic framework.
“SPICE” – an acronym standing for five generic dimensions-enables processual analysis of data from multiple case research designs. It generates patterns from the analysis resulting in establishing of causal mechanisms leading to generation of hypotheses and their verification. This framework will enable greater use of multiple case based research designs and thus better ways to generate theories.
Keywords: GENERIC FRAMEWORK, MULTIPLE CASE DESIGN, QUALITATIVE METHODS, PROCESSUAL ANALYSIS
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