A Laddering Approach to Explore the Motivations of Taking Computer Advice for Supply Networks Formation

Sonia Cisneros Cabrera, Nikolay Mehandjiev, Alexander Felfernig, Pedro Sampaio, Sophia Kununka

Research output: Contribution to conferencePaperpeer-review

Abstract

This study investigates decision-makers motivations to follow advice generated by a computer system in the context of manufacturing supplier networks. Using the laddering technique based on the means-end chain theory of decision-making, we obtain insights into the motivations of our subjects when having to select partner organizations whilst being advised by a knowledge-based team configurator system. Our findings suggest that the main goals (ends) which users are looking to satisfy are trust, financial benefits, competitiveness, and the possibility of saving time to fulfill other responsibilities. We also acquire an understanding of the role of time-saving in an industrial environment and how this should be reflected in computer systems designed to help in the selection of business partners to form supplier networks. Finally, we explore the function of explanations towards trust-building in the context of advice coming from computer system and propose a model that reflects our understanding.
Original languageEnglish
Publication statusAccepted/In press - 2020
EventThe Pacific Asia Conference on Information Systems (PACIS) - Dubai, United Arab Emirates
Duration: 20 Jun 2020 → …
https://www.pacis2020.org/

Conference

ConferenceThe Pacific Asia Conference on Information Systems (PACIS)
Country/TerritoryUnited Arab Emirates
CityDubai
Period20/06/20 → …
Internet address

Keywords

  • Computer Advice
  • IS adoption
  • Partner Selection
  • Supply Networks
  • Means-end approach
  • Laddering

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