Identifying Risks in IS Post-Merger Integration in Academic Organizations With the Help of an Early Warning System
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Autor:innen
Autor:in (Körperschaft)
Publikationsdatum
2014
Typ der Arbeit
Master
Studiengang
Sammlung
Typ
11 - Studentische Arbeit
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Reihennummer
Jahrgang / Band
Ausgabe / Nummer
Seiten / Dauer
Patentnummer
Verlag / Herausgebende Institution
Hochschule für Wirtschaft FHNW
Verlagsort / Veranstaltungsort
Olten
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
This master thesis focuses on identifying and assessing indicators that signal the risk of failure in post-merger integration of information systems in academic mergers and acquisitions with the help of an early warning system. Design Science Research is the applied research method. It is complemented by a case study of a real-world merger.The EWS is the main artifact of my approach. By applying semantic technologies – namely an ontology and an inferencing engine, for the automatic identification, validation and quantification of risk factors with key risk indicators and their metrics, a prototype of the EWS was developed.The starting point for my approach is the case study: to determine common risk factors that might occur during the post-merger phase of academic organizations, a risk catalogue was developed. All identified risk factors are determined by key risk indicators that are valued based on appropriate metrics. Additionally, scores for warning signals are calculated to indicate their ponderosity for the risk to fail. If a certain threshold is reached, an early warning signal is triggered and an early warning including the risk significance and risk priority of a risk factor, as well as metric scores is initiated.My approach was evaluated within the context of two real-world scenarios: One scenario evaluated the IS integration of an academic merger in retro-perspective, the other scenario evaluated an on-going international joint venture between two companies of the private sector – a bank and a Swiss services/software solutions provider.
Schlagwörter
Fachgebiet (DDC)
330 - Wirtschaft
Veranstaltung
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
Enddatum der Konferenz
Datum der letzten Prüfung
ISBN
ISSN
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Zukunftsfelder FHNW
Publikationsstatus
Begutachtung
Open Access-Status
Lizenz
Zitation
UNKAN, Erol, 2014. Identifying Risks in IS Post-Merger Integration in Academic Organizations With the Help of an Early Warning System. Olten: Hochschule für Wirtschaft FHNW. Verfügbar unter: https://irf.fhnw.ch/handle/11654/39881