• Medientyp: E-Book
  • Titel: The Use of an Explicitly Theory-Driven Data Coding Method for High-Level Theory Testing in IOIS
  • Beteiligte: Reimers, Kai [VerfasserIn]; Johnston, Robert B. [Sonstige Person, Familie und Körperschaft]
  • Erschienen: [S.l.]: SSRN, [2018]
  • Umfang: 1 Online-Ressource (18 p)
  • Sprache: Englisch
  • Entstehung:
  • Anmerkungen: In: Proceedings of the Twenty Ninth International Conference on Information Systems at: Paris Volume: Paper 184, 2008
    Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments December 2008 erstellt
  • Beschreibung: As part of an international empirical study we have developed a high-level theory of the structure and evolution of inter-organizational information systems (IOIS), but face two issues in testing this theory; the very large set of factors possibly influencing IOIS and need to bound a complex research object. We describe a novel solution involving an explicitly theory-driven coding of our raw empirical data to produce a new interpreted “meso-level” ground upon which to derive and test predictions. To justify this approach, we first give a pragmatic analysis which traces the problem to the traditional choice between top-down (deductive) and bottom-up (inductive) methods for linking theory and data. We then assess the validity of our approach against standard philosophical positions. We find that a hard Empiricist view commonly espoused in information systems would not admit our approach but that Critical Realism does and suggests a conceptual interpretation of our meso-level
  • Zugangsstatus: Freier Zugang