nep-ppm New Economics Papers
on Project, Program and Portfolio Management
Issue of 2020‒08‒10
three papers chosen by
Arvi Kuura
Tartu Ülikool

  1. A configurational explanation for performance management systems' design in project-based organizations By De Rooij, Mariska M.G.; Janowicz-Panjaitan, Martyna; Mannak, Remco S.
  2. A Study on the Impact of Artificial Intelligence on Project Management By Belharet, Adel; Bharathan, Urmila; Dzingina, Benjamin; Madhavan, Neha; Mathur, Charul; Toti, Yves-Daniel Boga; Babbar, Divij; Markowski, Krzysztof
  3. Key trends in development co-operation for national data and statistical systems By Simon Lange

  1. By: De Rooij, Mariska M.G.; Janowicz-Panjaitan, Martyna (Tilburg University, School of Economics and Management); Mannak, Remco S. (Tilburg University, School of Economics and Management)
    Date: 2019
    URL: http://d.repec.org/n?u=RePEc:tiu:tiutis:edcb4bed-2636-4985-97ab-8a6c071ff077&r=all
  2. By: Belharet, Adel (Korea University); Bharathan, Urmila; Dzingina, Benjamin; Madhavan, Neha; Mathur, Charul; Toti, Yves-Daniel Boga; Babbar, Divij; Markowski, Krzysztof
    Abstract: Artificial intelligence and machine learning have found a wide range of business applications, but their impact is only just starting to be seen in project management. This study explores how our existing PM profession will change to be more suitable to AI inputs; and how project management will be forced to change because of the advent of AI, along with concrete, succinct and precise recommendations backed by demonstrable reasoning.
    Date: 2020–06–29
    URL: http://d.repec.org/n?u=RePEc:osf:frenxi:8mxfk&r=all
  3. By: Simon Lange
    Abstract: This policy paper sheds light on current trends in development co-operation for data and statistical systems in developing countries. It analyses trends in funding through official development assistance as well as strategic priorities and modalities for providing support. It identifies different approaches to capacity development and discusses their strengths, opportunities and risks. The objectives of the research published in this paper are twofold: first, to understand key challenges to ensuring support is effective, owned by partners, aligned with their priorities and needs, and conducive to producing capacity and results that outlive specific projects and; second, with a view to identifying good practices, to provide insights on how Development Assistance Committee members support statistics and statistical capacity development in developing countries.
    JEL: C8 F35 H87 O20
    Date: 2020–08–03
    URL: http://d.repec.org/n?u=RePEc:oec:dcdaab:75-en&r=all

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