• Publications
  • Influence
Enterprise resource planning systems: systems, life cycle, electronic commerce, and risk
TLDR
This chapter discusses the design and implementation of ERP systems - big bang vs phased, and how to choose an ERP system and implement it.
Event Study Methodologies in Information Systems Research
'Big Data', the 'Internet of Things' and the 'Internet of Signs'
  • D. O'Leary
  • Business, Law
    Intell. Syst. Account. Finance Manag.
  • 2013
TLDR
How the ‘things’ in the ’Internet of Things’ generate ‘Big Data’, and how both are used to generate semiotic ‘signs’ is investigated.
Enterprise Knowledge Management
  • D. O'Leary
  • Computer Science, Business
    Computer
  • 1 March 1998
TLDR
The business world is becoming so concerned about knowledge management that, according to one report, over 40 percent of the Fortune 1000 now have a chief knowledge officer, a senior-level executive responsible for creating an infrastructure and cultural environment for knowledge sharing.
Gartner's hype cycle and information system research issues
  • D. O'Leary
  • Business
    Int. J. Account. Inf. Syst.
  • 17 August 2008
Enterprise Resource Planning (ERP) Systems: An Empirical Analysis of Benefits
This paper uses a database, derived from a data repository, in order to do an analysis of enterprise resource planning (ERP) system benefits. ERP benefits are important for a number of reasons,
Configuring blockchain architectures for transaction information in blockchain consortiums: The case of accounting and supply chain systems
  • D. O'Leary
  • Computer Science, Business
    Intell. Syst. Account. Finance Manag.
  • 1 October 2017
This paper investigates alternative configurations of different blockchain architectures that can be used for gathering and processing transactions in a range of different settings, including
Knowledge Discovery as a Threat to Database Security
  • D. O'Leary
  • Computer Science
    Knowledge Discovery in Databases
  • 1991
TLDR
The quality of database security in general is stressed as an important set of controls to secure against knowl­ edge discovery and some of the potential security risks associated with knowledge discovery are discussed.
Knowledge-Management Systems: Converting and Connecting
  • D. O'Leary
  • Computer Science
    IEEE Intelligent Systems and their Applications
  • 1 May 1998
Artificial Intelligence and Big Data
  • D. O'Leary
  • Computer Science, Business
    IEEE Intelligent Systems
  • 1 March 2013
AI Innovation in Industry is a new department for IEEE Intelligent Systems, and this paper examines some of the basic concerns and uses of AI for big data (AI has been used in several different ways
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