Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Plant Asset Management Today and Tomorrow Kapitel lesen Erstes Kapitel lesen

2012 | OriginalPaper | Buchkapitel

Benchmarking Information Quality Performance in Asset Intensive Organisations in the UK

verfasst von : Philip Woodall, Ajith Kumar Parlikad, Lucas Lebrun

Erschienen in: Engineering Asset Management and Infrastructure Sustainability

Verlag: Springer London

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Maintaining good quality information is a difficult task and many leading asset management (AM) organisations have difficulty planning and executing successful information quality management (IQM) practices. The aim of this work is, therefore, to provide guidance on how organisations can improve IQM practices within the AM unit of the business. Using the case study methodology, the current level of IQM maturity was benchmarked for ten AM organisations in the UK by focussing on the AM unit of the organisation. By understanding how the most mature organisations approach the task of IQM, specific guidelines for how organisations with lower maturity levels can improve their IQM practices are presented. Five ‘critical success factors’ from the IQM-CMM maturity model were identified as being significant for improving IQM maturity: IQ management team and project management, IQ requirements analysis, IQ requirements management, information product visualisation and meta-information management.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Asset Risk Management: Issues in the Design and Use of the Risk Matrix
Nächstes Kapitel Use of Analytic Hierarchy Process for Assessment of Transport System Operation Safety
Literatur
1.
Al-Hakim L (2007) Information quality management: theory and applications. IGI Global, Hershey
2.
Baškarada S (2008) IQM-CMM: Information quality management capability maturity model, PhD thesis, University of South Australia
3.
Baškarada S, Koronios A, Gao J (2006) Towards a capability maturity model for information quality management: a TDQM approach. 11th International conference on information quality (ICIQ-06), pp 10–12
4.
Batini C, Cappiello C, Francalanci C, Maurino A (2009) Methodologies for data quality assessment and improvement. ACM Comput Surv 41(3):1–52CrossRef
5.
Baxter P, Jack S (2008) Qualitative case study methodology: study design and implementation for novice researchers. The Qualitative Report 13(4):544–559
6.
Caballero I, Caro A, Calero C, Piattini M (2008) Iqm3: information quality management maturity model. J Univ Comput Sci 14(22):3658–3685
7.
8.
Délez T, Hostettler D (2006) Information quality: a business-led approach. In: Proceedings of the 2006 international conference on information quality, Cambridge, MA
9.
English L (1999) Improving data warehouse and business information quality: methods for reducing costs and increasing profits. Wiley, New Jersey
10.
English L (2002) The essentials of information quality management. Information Management Magazine
11.
Eppler MJ (2000) Conceptualizing information quality: a review of information quality frameworks from the last ten years, Fifth International conference on information quality
12.
Fowler FJ (1993) Survey research methods. 2nd edn. Sage Publications Inc, Thousands Oaks
13.
Gao J, Baškarada S, Koronios A (2006) Agile maturity model approach to assessing and enhancing the quality of asset information in engineering asset management information systems. In: Proceedings of the 9th international conference on business information systems (BIS 2006), pp 486–500
14.
Ge M, Helfert M (2007) A Review of information quality research. In: Proceedings of the 12th international conference of information quality
15.
IAM (2009) asset information guidelines—guidelines for the management of asset information
16.
Juran JM (1974) Quality control handbook. McGraw-Hill, New York
17.
Kahn BK, Strong DM, Wang RY (2002) Information quality benchmarks: product and service performance. Commun ACM 45(4):184–192CrossRef
18.
Koronios A (2006) Foreword of challenges of managing information quality in service organisations. Idea Group Inc, USA
19.
Levis M, Helfert M, Brady M (2007) information quality management: review of an evolving research area. In: Proceedings of the 12th international conference of information quality
20.
Lin S, Gao J, Koronios A (2006) Key data quality issues for enterprise asset management in engineering organisations. Int J Electron Bus 4(1):96–110
21.
Lin S, Gao J, Koronios A, Chanana V (2007) Developing a data quality framework for asset management in engineering organisations. Int J Inform Qual 1(1):100–126CrossRef
22.
Ouertani MZ, Parlikad AK, McFarlane DC (2008) Towards an approach to select an asset information management strategy. Inte J Comput Sci Appl 5(3b):25–44
23.
PAS 55-1 (2004) Asset management: PAS 55-1: Infrastructure Assets. BSI Standards
24.
Redman T (1996) Why care about data quality. Data quality in the information age
25.
Ruževičius J, Gedminaitė A (2007) Business information quality and its assessment. Eng Econ 2(52):18–25
26.
27.
Strong D, Lee YW, Wang RY (1997) 10 potholes in the road to information quality. IEEE Comput 30(8):38–46CrossRef
28.
Wang RY, Strong DM (1996) Beyond accuracy: what data quality means to data consumers. J Manag Inform Syst 12(4):5–34MATH
Metadaten
Titel
Benchmarking Information Quality Performance in Asset Intensive Organisations in the UK
verfasst von
Philip Woodall
Ajith Kumar Parlikad
Lucas Lebrun
Copyright-Jahr
2012
Verlag
Springer London
Buch
Engineering Asset Management and Infrastructure Sustainability

Print ISBN: 978-0-85729-301-5

Electronic ISBN: 978-0-85729-493-7

Copyright-Jahr: 2012

DOI
https://doi.org/10.1007/978-0-85729-493-7_82