Adoption of Innovative Technology for Business Transformation with Big Data in an Oil and Gas Company in South Africa
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Autor:innen
Autor:in (Körperschaft)
Publikationsdatum
2016
Typ der Arbeit
Master
Studiengang
Sammlung
Typ
11 - Studentische Arbeit
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Themenheft
DOI der Originalpublikation
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Reihe / Serie
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Jahrgang / Band
Ausgabe / Nummer
Seiten / Dauer
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Verlag / Herausgebende Institution
Hochschule für Wirtschaft FHNW
Verlagsort / Veranstaltungsort
Olten
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
Today, it is a known fact that Big Data (BD) lead to a competitive advantage for organisations. While several methodologies have been introduced to gain insights using BD, there is a lack in research regarding the adoption and usage of this knowledge within organizations for effective decision-making. By analysing a case of a South African oil and gas company, results of current research of innovation adoption have been adapted in order to find the reasons for the problem and fill this gap in current research. To collect data for this thesis, eight managers have been interviewed. The findings have then been analysed and assigned to a set of categories. The result of this research are three major criteria. Depending on the fulfilment or lack of the criteria, they act as enabler or barriers. The first criterion is the quality of the system, most important being data quality, next to performance and up-to-date data. Second is support and training, most important to find the right people for the right position and train them how to access the BD analytics and what is available. The right people have a passion for analysing data and bring with them creativity and innovativeness. The third influencer is (missing) features. It describes the possibilities to access information gained by BD. In the case of the oil and gas company, it was missing mobile reporting, predictive analytics and unstructured data. These three categories create a perceived value, which influences the adoption of BD analytics. The perceived value also effects the management, which themselves have been found as an influencer for the adoption.
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
BALLMERT, Matthias, 2016. Adoption of Innovative Technology for Business Transformation with Big Data in an Oil and Gas Company in South Africa. Olten: Hochschule für Wirtschaft FHNW. Verfügbar unter: https://irf.fhnw.ch/handle/11654/39801