Cuadros de correlación

The narrative form of open source business model shown in Section 3.8.3 in the Literature Review is the basis of a framework for analysis of the data from the author’s engagement with the founders of 3rd Way Coop and ESTA. This framework was developed by extracting keywords from the narrative form of open source business model offered in Section 3.8.3:

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1. Purposeful intent: beliefs, conflict, cultural values, entrepreneur, foun- der, goals, individual limitations, intent, narrative, personal values, purpose, scope, stakeholders, values.

2. Enacted by human or other actors: activities, community, creativity, fluid space, focal organisation, group members, network, open source, scale, software, voluntary participation, writing.

3. Particular incidents or events: accountability, experience, knowledge, learning, legitimacy, market, opportunities, self-belief, sense-making, sense-giving, stories, structure, vision.

4. Causal sequence: analysis, decision-making, emotionally significant, ideation, identification of needs, implementation, process, prototyping, software architect, strategic choices, sustainability.

5. Reflect reality and create it: boundary judgement, contributors, costs, customers, environment, exploration, fiction, financial value, gover- nance, peer review, profits, property rights, revenue, shared meaning, shared understanding, software code, suppliers, sustainable returns, value proposition.

6. Context: boundary object, competencies, competitive advantage, con- text, employees, expectations, investors, licence, partners, relation- ships, resources, system architect, transactions.

7. Specific point of view: desired future, identity, imagination, informa- tion, life course, shared understanding, value creation, value capture. 8. New point of view: inner lives, meaning, motivations, leadership, par-

ticipants, personal development, potential future, power, practice, tra- nsformation.

9. Become institutionalised: assemblages of institutions, boundary span- ning, collaboration, focal firm, institutionalised, intellectual property, legal documents, norms and beliefs, organic structure, relationship building, shared narrative, stakeholder network, trial and error. This framework was then used to analyse the data from 3rd Way and ESTA using NVivo software. This ethnographic data took the form of:

• Notes from meetings with each founders and other stakeholders. These were edited as needed to remove confidential information and names of anyone except the founders.

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• Photographs of drawings, ideas and other material from the meetings that could be relevant.

• Email correspondence with each founder. These were again edited as needed to remove confidential information and the names of anyone except the founders.

• Organisational documents, including each founder’s ideas for how their organisation’s structure or business model could develop in the future. • Other documents that were referred to by founders and which influ-

enced their thinking.

In selecting the data for analysis, priority was given to the data that was generated directly by each organisational founder. This included organisa- tional documents, emails that they sent and photographs of ideas or dia- grams that they produced in meetings. In this study, NVivo was used pri- marily as an organising tool to deal with the large amount of data gener- ated by the long-term engagement with each founder. The analysis using the NVivo software enabled aspects of the data that were relevant to a nar- rative form of open source business model to be coded using the keywords presented above. The data was organised as follows:

1. Meeting notes made by the author and verified with the founder af- ter each meeting (with any amendments made by them) were organ- ised into a single text file for each organisation in chronological order. Any notes that were not relevant or which would breach confidentiality was removed. Other documents referred to in the meeting, or any pho- tographs taken during the meeting are listed with the notes for each meeting by their filenames.

2. Email correspondence from each founder was organised into a single text file for each organisation in chronological order. Irrelevant or in- appropriate emails were removed (e.g. arranging meetings or similar). Greetings, details of arranging meetings etc. were also removed from the emails for clarity. Other documents referred to in the emails were listed with the email text by their filenames.

This organisation of data before analysis enabled the NVivo software to be used effectively to uncover and structure the data that was most relevant to the research area. The meeting notes and email correspondence were coded directly, and other documents were coded at their filename. Preparing the

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data in this way enabled the analysis to focus on data either directly from each founder or generated through the author’s engagement with them, while also taking into account other key data, including organisational de- signs created by participants.

The coded data was then exported from NVivo in the form of a report un- der each narrative heading as text, together with diagrams and photographs as appropriate. These reports are shown in Appendix A (3rd Way Coop) and Appendix B (ESTA). In contrast to the first stage in this study, no attempt is made to create a coherent narrative from the data, this allows for defa- miliarisation (Bell et al., 2005; Alvesson and Skölderberg, 2009; Le Dantec et al., 2009), or the possibility of a fresh perspective on data that the author was very familiar with. The case study data in the Appendices was then analysed as an annotated portfolio.