WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/10007012,
	  title     = {The Analysis of Secondary Case Studies as a Starting Point for Grounded Theory Studies: An Example from the Enterprise Software Industry},
	  author    = {Abilio Avila and  Orestis Terzidis},
	  country	= {},
	  institution	= {},
	  abstract     = {A fundamental principle of Grounded Theory (GT) is to prevent the formation of preconceived theories. This implies the need to start a research study with an open mind and to avoid being absorbed by the existing literature. However, to start a new study without an understanding of the research domain and its context can be extremely challenging. This paper presents a research approach that simultaneously supports a researcher to identify and to focus on critical areas of a research project and prevent the formation of prejudiced concepts by the current body of literature. This approach comprises of four stages: Selection of secondary case studies, analysis of secondary case studies, development of an initial conceptual framework, development of an initial interview guide. The analysis of secondary case studies as a starting point for a research project allows a researcher to create a first understanding of a research area based on real-world cases without being influenced by the existing body of theory. It enables a researcher to develop through a structured course of actions a firm guide that establishes a solid starting point for further investigations. Thus, the described approach may have significant implications for GT researchers who aim to start a study within a given research area.},
	    journal   = {International Journal of Humanities and Social Sciences},
	  volume    = {11},
	  number    = {5},
	  year      = {2017},
	  pages     = {1194 - 1199},
	  ee        = {https://publications.waset.org/pdf/10007012},
	  url   	= {https://publications.waset.org/vol/125},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 125, 2017},
	}