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
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Inter-organizational e-Services from a SME Perspective: A Case Study on e-Invoicing Kapitel lesen Erstes Kapitel lesen

2011 | OriginalPaper | Buchkapitel

Relationships Between ERP and Business Intelligence: An Empirical Research on Two Different Upgrade Approaches

verfasst von : C. Caserio

Erschienen in: Information Technology and Innovation Trends in Organizations

Verlag: Physica-Verlag HD

Einloggen

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

search-config
loading …

Abstract

Many studies acknowledge the growing role of Business Intelligence Systems (BIS) deployment in supporting business decision-making processes. This development involves both transactional systems, such as the implementation of ERPs, and BI models, as well as reporting tools, business analytics, and data mining.
The hypothesis is that the decision making process depends on the quality of all the links before the BIS implementation, such as the ERP implementation and upgrade, the organization of the business data, the deep awareness of the business, the desired level of BIS implementation and upgrading (i.e. reporting, predictive analysis, data mining, and so forth).
The aim of the research is to evaluate the main reasons that drive companies to implement and upgrade ERP and BIS, in light of potential relationships among them. A comparative case study, made for the purpose of this research, shows two different approaches to ERP/BIS. At the end, some considerations about them are discussed.

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 Enabling Factors for SaaS Business Intelligence Adoption: A Theoretical Framework Proposal
Nächstes Kapitel Patent-Based R&D Strategies: The Case of STMicroelectronics’ Lab-on-Chip
Literatur
1.
Nah F, Faja S, Cata T, (2001) Characteristics of ERP software maintenance: a multiple case study. J. Software Mainten. & Evol.: Res & Prac. 13(6):399–414.
2.
Olson DL, Zhao F, (2007) CIO’s perspectives of critical success factors in ERP upgrade projects. Enterprise Information Systems 1(1): 129–138.
3.
Cooper RB, Zmud RW (1999) Information Technology Implementation Research: A Technological Diffusion Approach. Management Science 36(2):123–139.
4.
Malmsjö A, Övelius E (2003) Factors that Induce Change in Information Systems. System Research and Behavioral Science 20(3):243–253.
5.
Newkirk HE, Lederer AL, Johnson AM, (2008) The Impact of Business and IT Change on Strategic Information Systems Alignment. Northeast Decision Sciences Institute Proceedings 28(30):469–474.
6.
Lee CT (2010) Selecting Technologies for Constantly Changing Applications Markets. Technology Management 53(1):44–54.
7.
Walker WE (1994) Organizational Decision Support Systems: Centralized Support for Decentralized Organizations. Annals of Operations Research, 51(6):283–298.
8.
George JF (1992) The Conceptualization and Development of Organizational Decision Support Systems. Journal of Management Information Systems 8(3):109–125.
9.
Bui T, Jarke M (1986) Communications Requirements for Group Decision Support Systems. Journal of Management Information Systems vol. II(4):8–2.
10.
Nah F, Delgado S, (2006) Critical success factors for enterprise resource planning implementation and upgrade. Journal of Computer Information Systems 47(1):99–113.
11.
Collins K (1999) Strategy and execution of ERP upgrades. Gov. Finance Rev. 15(4):43–47.
12.
Davenport TH (1998) Putting the Enterprise into the Enterprise System. Harvard Business Review 76(4):121–131.
13.
Bingi P, Sharma MK, Godla J (1999) Critical issues affecting an ERP implementation. Information System Management 16(3):7–14.
14.
Trott P, Hoecht A, (2004) Enterprise Resource Planning (ERP) And Its Impact on the Innovative Capability of the Firm. International Journal of Innovation Management 8(4):381–398.
15.
Holsapple CW, Sena MP (2003) The Decision-Support Characteristics of ERP Systems. International Journal of Human-Computer Interaction 16(1):101–123.
16.
Stevens CP, (2003) Enterprise Resource Planning: a Trio of Resources. Information Systems Management 20(3):61–67.
17.
Hoelscher R (2002) Business Intelligence Platforms boost ERP. Financial Executive Mar(1):66–68.
18.
Simons P, (2008) Business Intelligence. Financial Management Sep(1):44–47.
19.
20.
Alavi M, Henderson JC (1981) An Evolutionary Strategy for Implementing a Decision Support System. Management Science 27(11):1309–1323.
21.
Calvasina R, Calvasina E, Ramaswamy M, Calvasina G (2009) Data Quality Problems in Responsibility Accounting. Issues in Information Systems X(2):48–57.
22.
Gorgan V, Oancea M (2008) Data Quality in Business Intelligence Applications. Annals of the University of Oradea Economic Science Series, 17(4):1364–1368.
23.
Howson C (2009) Successful BI Survey – Best Practices in Business Intelligence for Greater Business Impact. ASK LLC November 2009. www.​BIScorecard.​com.
24.
Zhang H, Liang Y, (2006) A Knowledge Warehouse System for Enterprise Resource Planning Systems. Systems Research and Behavioral Science 23(2):169–176, DOI: 10.1002/sres.753.
25.
Bara A, Botha I, Diaconita V, Lungu I, Velicanu A, Velicanu M (2009) A model for Business Intelligence Systems’ Development. Informatica Economicâ, 13(4):99–108.
26.
Cleland DI, King WR (1975) Competitive Business Intelligence Systems. Business Horizons, 18(6):19–28.
27.
Baars H, Kemper HG (2008) Management Support with Structured and Unstructured Data – An Integrated Business Intelligence Framework. Information Systems Management 25(2):132–148.DOI:​ 10.​1080/​1058053080194105​8.
28.
Olszak CM, Ziemba E, (2007) Approach to Building and Implementing Business Intelligence Systems. Interdisciplinary Journal of Information, Knowledge and Management 2(1):135–148.
29.
Yeoh W, Koronios A (2010) Critical Success Factors for Business Intelligence Systems. Journal of Computer Information Systems 50(3):23–32.
30.
Barki H, Huff SL, (1990) Implementing Decision Support Systems: Correlates of User Satisfaction and System Usage. Infor 28(2):89-101.
31.
Coderre DG (2000) Computer Assisted Fraud Detection. Internal Auditor 57(4):25–27.
32.
Christensen JA, Byington JR (2003) The computer: An essential fraud detection tool. Journal of Corporate Accounting & Finance (Wiley) 14(5):23–27.
33.
Pugna IB, Albescu F, Babeanu D, (2009) The Role of Business Intelligence in Business Performance Management. Annals of the University of Oradea Economic Science Series 18(4):1025–1029.
34.
Denscombe M (2003) The good research guide. Maidenhead: Open University Press.
35.
Curasi CF (2001) A critical exploration of face-to-face interviewing vs. computer-mediated interviewing. International Journal of Market Research 43(4):361–375.
36.
Murray CD, Sixsmith J (1998). E-mail: A qualitative research medium for interviewing? International Journal of Social Research Methodology 1(2):103–121.
37.
Yin RK, (2008) Case Study Research: Design and Methods,. Sage Pubns.
38.
Eisenhardt KM (1989) Building Theories from Case Study Research. The Academy of Management Review 14(4): 532–550.
39.
Olsen TE (1996) Agency costs and the limits of integration. RAND Journal of Economics 27(3):479–501.
40.
Mollick JS (2009) Spreadsheet Program Usage for Ten Job Tasks in Organizations – an Empirical Investigation. Issues in Information Systems X(2):604–613.
Metadaten
Titel
Relationships Between ERP and Business Intelligence: An Empirical Research on Two Different Upgrade Approaches
verfasst von
C. Caserio
Copyright-Jahr
2011
Verlag
Physica-Verlag HD
Buch
Information Technology and Innovation Trends in Organizations

Print ISBN: 978-3-7908-2631-9

Electronic ISBN: 978-3-7908-2632-6

Copyright-Jahr: 2011

DOI
https://doi.org/10.1007/978-3-7908-2632-6_41

Premium Partner

    Bildnachweise