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Boundary activities and readiness for ... - Projekti-Instituutti

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Research methodology <strong>and</strong> data<br />

activity <strong>and</strong> overcoming the articulated challenge, a connection was<br />

concluded. If a clear link between the boundary activity <strong>and</strong> <strong>readiness</strong> <strong>for</strong><br />

change program implementation could not be found, the corresponding<br />

data field in Figure 6 was left empty.<br />

In the final judgment concerning the associations between specific<br />

boundary activity types <strong>and</strong> specific indicators of <strong>readiness</strong> <strong>for</strong> change,<br />

similar patterns were sought in the spreadsheet. If the interviewees<br />

repeatedly associated a boundary activity of a certain type <strong>and</strong> a certain<br />

aspect of <strong>readiness</strong> <strong>for</strong> change program implementation, <strong>and</strong> if this<br />

connection was observed in more than one interview, then an association<br />

was assumed. This resulted in a matrix table that reported whether each<br />

boundary activity type was associated with each indicator of <strong>readiness</strong> <strong>for</strong><br />

change program implementation. Potential explanations <strong>for</strong> the identified<br />

connections were also simultaneously recorded.<br />

Furthermore, the third phase of the analysis included an examination of<br />

the contextual factors that might explain the observations <strong>and</strong> cross-case<br />

differences concerning the frequency of boundary <strong>activities</strong>, the level of<br />

<strong>readiness</strong> <strong>for</strong> change, <strong>and</strong> the identified (or missing) associations between<br />

the boundary <strong>activities</strong> <strong>and</strong> the indicators of <strong>readiness</strong>. Potentially relevant<br />

contextual factors had been identified <strong>and</strong> recorded during the coding<br />

process. The numerous memos created during the coding process as well as<br />

the observations recorded in the spreadsheet (column “K” in Figure 6)<br />

provided additional in<strong>for</strong>mation on the characteristics, conditions, enablers<br />

<strong>and</strong> limitations related to each case. Common patterns were sought from all<br />

this data <strong>and</strong> the three cases were contrasted to detect the most central<br />

contextual differences. Existing literature was also utilized to in<strong>for</strong>m this<br />

search. This resulted in a list of main contextual factors that were suggested<br />

to have a central role in explaining the differences in the findings across the<br />

three cases.<br />

During the third phase of the analysis, the results of the empirical study<br />

were recorded. Following the suggestions by Miles <strong>and</strong> Huberman (1994)<br />

<strong>and</strong> Eisenhardt <strong>and</strong> Graebner (2007), illustrative <strong>for</strong>ms of data display<br />

were utilized to summarize the case evidence, including tables, crosstabulations,<br />

figures, <strong>and</strong> charts. In reporting the results, direct quotes from<br />

the interviews are also used extensively to illustrate the findings <strong>and</strong><br />

provide more depth <strong>for</strong> the observations. As the interviews were conducted<br />

in Finnish, all quotes appearing in this thesis have been translated into<br />

English.<br />

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