Empowering the middle management: Incorporating data summarisation and visualisation techniques in management information systems

Ronyt Gomez, Avshalom Elmalech

Research output: Contribution to journalArticlepeer-review

Abstract

Human–computer interaction (HCI) researchers and practitioners have explored how computers and software can aid users in decision-making. Accurate information is crucial in decision-making; therefore, when designing a management information system (MIS), it is necessary to understand the information needs of the end-users and to incorporate this understanding in a way which allows the users to obtain an accurate and intuitive snapshot of the data. Although most of the day-to-day decisions in various organisations are made by middle management employees (as opposed to executives and senior managers), previous literature has scarcely examined how middle management employees’ decision-making process can be improved through the use of MIS. In this study, we examine the impact of different data summarisation and visualisation layouts on different aspects of the decision-making process taking into consideration the decision-makers’ personal characteristics, and propose to include the results of this examination in the MIS design. To this end, we recruited participants from a crowdsourcing platform. Participants were required to complete a task which simulates middle management employees’ day-to-day operational decision-making scenario. To better understand the effects of participants’ personal characteristics and their visual abilities, participants were asked to answer a personality questionnaire and a questionnaire testing for visual abilities. The results indicate that when looking at the population as a single group, the effect of the data summarisation and visualisation layouts on the decision-making process cannot be discerned. However, when taking into consideration additional user characteristics, the results indicate that the data summarisation and visualisation layouts affect the decisions made.

Original languageEnglish
JournalJournal of Information Science
DOIs
StateAccepted/In press - 2023

Bibliographical note

Publisher Copyright:
© The Author(s) 2023.

Keywords

  • A processing time metric
  • BI
  • HCI
  • a subjective representation preference metric
  • an objective decision quality metric
  • data-driven decisions
  • decision-making in organisation
  • information needs
  • management information systems

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