Cutting edge research topics on operations and project management of supportive decision-making tools

Li Yang, Nankai Cheng, Rosita Moradi, Mohammad Yazdi*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)

Abstract

In the context of operations and project management of supportive decision-making tools, this chapter addresses the challenges related to the criticality of this areas. These challenges include, human bias, process-based issues, complexity, and multi-dimensions problems, and other undesired cases. Scholars, practitioners, research centres, and academic institutes have introduced different frameworks and approaches for assessing and enhancing operations and project management techniques and tools to tackle these challenges. The primary objective of this chapter is to provide an overview of operations and project management of supportive decision-making tools and frameworks specifically applicable to different industrial sectors. These frameworks have been published over the past few decades and offer valuable insights into improving the overall performance of these operations and project management domains. Additionally, it is crucial to identify and analyse the common aspects of operations and project management, examine the existing challenges they face, and explore potential opportunities for future research directions. To accomplish this, an extensive investigation is conducted using statistical metadata analysis. this analysis explores frontier directions and development trends to uncover the current research status. Furthermore, a bibliometric study identifies this domain’s most productive and influential researchers, research centres, and hotspot fields.
Original languageEnglish
Title of host publicationProgressive decision-making tools and applications in project and operation management
Subtitle of host publicationapproaches, case studies, multi-criteria decision-making, multi-objective decision-making, decision under uncertainty
EditorsMohammad Yazdi
Place of PublicationCham
PublisherSpringer, Springer Nature
Chapter1
Pages1-19
Number of pages19
ISBN (Electronic)9783031517198
ISBN (Print)9783031517181, 9783031517211
DOIs
Publication statusPublished - 2024

Publication series

NameStudies in Systems, Decision and Control
PublisherSpringer
Volume518
ISSN (Print)2198-4182
ISSN (Electronic)2198-4190

Keywords

  • Operations management
  • Supportive decision-making tools
  • Bibliometric study

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