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Supporting Business Decision-making: One Professional at a Time

In English

Författare

  • Peter Bednar
  • Christine Welch
  • Peter Imrie

Redaktör

  • Gloria Phillips-Wren
  • Sven Carlsson
  • Ana Respício
  • Patrick Brézillon

Summary, in English

This paper discusses the potential for personalized, user-owned decision-support systems. It can be readily seen that there are benefits from analysis of ‘Big Data’ that could not be attained through more traditional means, e.g. insurance and credit card fraud can be detected more readily when it is possible to analyze integrated data across multiple servers owned and controlled by separate organizations. However, high-level data analysis, though useful, cannot be trusted to provide all the answers to organizational ‘questions’. Individuals need to be able to inform themselves in complex decision situations and for this purpose there can be no substitute for ‘little data’ from wherever this is to be drawn. We explore a potential type of support that could overcome the barriers to professional creativity arising through lack of trust in decision-support systems owned and controlled from senior management. The Virtual Personal Assistant described uses natural language processing to interact with a professional user in the context of messy, situated problems, and in private. It has capability to learn from user-interactions and therefore to co-evolve contextually. A ‘little data’ system such as this can therefore help to improve relevance of user understandings in a relatively risk free environment.

Publiceringsår

2014

Språk

Engelska

Sidor

471-482

Publikation/Tidskrift/Serie

DSS 2.0 – Supporting Decision Making with New Technologies

Volym

261

Dokumenttyp

Del av eller Kapitel i bok

Förlag

IOS Press

Ämne

  • Information Systems, Social aspects

Nyckelord

  • Virtual Assistant
  • Little Data
  • Personalized Support Technology
  • Natural Language Processing
  • Contextual Inquiry
  • Situated Problems
  • Professional Support
  • User Owned Decision Support
  • User Controlled Support
  • Information System
  • Decision Support System
  • Personal decision-support systems
  • virtual personal assistant
  • contextual dependencies

Status

Published

ISBN/ISSN/Övrigt

  • ISBN: 978-1-61499-398-8
  • ISBN: 978-1-61499-399-5