Keep your Data Moving: Operationalization of Abduction with Technology

Diagrammatic Modelling Tools for Grounded Theory Research: The Implementation of a Multi-Representational Approach

“…Moreover, unlike the existing literature employing quantitatively driven techniques of SNA to detect categories and functional concepts, the Network diagram can be used to represent the interrelationships and categories already developed through the initial and focused coding process, and to compute the structural properties of the final network to explain and interpret hidden patterns. In this, as Gorra (2019); Paulus et al (2017) argued, it is critical to consider the significant position of research methodology over software functionality, even in the analysis of big data. The aim should be to address complex phenomena and leverage the big data analysis through the development of a human-centered approach that bridges the limitations of computer capacities, human perceptual and cognitive capabilities, and display capacities by keeping both human and computational decision-making methods in the analysis loop (Barberis Canonico et al, 2018; Lipton, 2018; Munzner, 2014).…”

“…Gorra (2019, p. 321) has recently argued that technology can impact the way GT researchers interact with data sets, and that researchers must ‘find their own way’ of adopting technology in the analysis process. The author believes that the expansion of new tools and software can significantly support the critical process of interacting with and making sense of the data.…”

“…Fourth, Buckley and Waring (2013) highlighted that while NVivo can aid researchers to make sense of data and create different visual representations, the Microsoft Office diagramming tool was commonly viewed as better by researchers. Fifth, Gorra (2019) and Ligita et al (2020) pointed out that the learning time and resources GT researchers need, as well as cost containment, have a substantial impact on their choice and use of tools. Sixth, CAQDAS representational tools provide researchers with only static diagrams, in which changes in different parts of the system do not impact the whole system.…”

“…While these authors have strongly suggested that GT researchers should benefit from new digital modelling tools to address the new complexities for the interpretation and presentation of big, networked data analytics, their focus has been limited to a few types of diagrams and commonly used modelling tools. Due to the considerable deficiencies of the modelling tools provided in CAQDAS programs (Friese, 2019;Gorra, 2019;Woods et al, 2016), lack of knowledge about other potential technological tools (Munzner, 2014), and the growth of digital approaches to qualitative analysis (Mills, 2019), it is crucial and urgent to explore the affordance of new research technologies promoting both 'technical and theoretical efficiency' of the analysis of many complex phenomena with interrelated data sets (Bowleg et al, 2016, p. 8). Gorra (2019, p. 321) has recently argued that technology can impact the way GT researchers interact with data sets, and that researchers must 'find their own way' of adopting technology in the analysis process.…”

The nature of innovation in hospital building design: a mixed grounded theory study

“…An interpretive methodology such as GT with iterative analysis process allowed us to highly engage with the context of hospital design evolution, explore contextual factors and relationships among them and develop a context-based, explanatory innovation framework grounded on real data (Charmaz, 2014;Allen and Davey, 2018;El Hussein et al, 2017). In addition, as this approach co-evolves with the analysis process (Johnson and Walsh, 2019), we could creatively use different types of data, analysis strategies and logics of inquiry for inductive theory/framework development (Gorra, 2019). In this study, we used a novel multi-representational approach integral to the research design, which promoted systemic and systematic thinking and enhanced the process of grounded theorising.…”