Category: announcements

  • 10th Anniversary in 2019

    PHIS-NZ commemorated 10 years in 2019, at the University of Waikato, Hamilton, with a special cake.

    Professors Michael Myers and Felix Tan – two of the founding members of PHIS-NZ – recall the first conference
  • 2019 Best Thesis Award

    The panel convened to award the 2019 PHIS-NZ Information Systems Doctoral Thesis Award and is pleased to announce the winner is:

    Dr. Haibo Yang,
    Victoria University of Wellington

    for his thesis: In a Quest to Solve Information Systems Agility Problems: A SaaS Experience

    Supervisors: Associate Professor Pedro Antunes (Main supervisor), Associate Professor Mary Tate (HRA), Dr. David Johnstone (Co-supervisor), and Emeritus Professor Sid Huff

    In 2019 the panel faced a difficult decision on the top thesis. Four theses were nominated by their respective institutions – each showed significant contributions in several respects and offered a diverse range of research questions, methodologies, approaches and formats. Selected comments from the panellists about Dr. Yang’s research includes:

    • A very interesting PhD with significant implications for industry and academia.
    • The thesis successfully addresses the long-lasting question of IS agility and benefits of adopting SaaS.
    • Very clear articulation and justification of the research problem and its importance, the gap/challenge/issues, and the research questions, goals & objectives.
    • Artefact development well-informed by existing methods/ theories. Very clear contributions including implications for practice, and future research

    Dr. Yang, currently Head of Business Intelligence at IMPAC, has been invited to receive the award and to make a brief presentation at the New Zealand Information Systems Doctoral Consortium in Hamilton on 27th July 2019. An abstract of the thesis is included below. A summary of the thesis will be available on the PHIS-NZ Web site.

    The panel also acknowledges the outstanding quality of research evident in the nomination of:

    Dr. Sahar Sabbaghan, The University of Auckland

    for her thesis: Principles and Techniques for Creating and Validating Computer-Adaptive Surveys (CAS)

    Supervisors: Professor Cecil Chua (primary supervisor) and Associate Professor Lesley Gardner

    Dr. Sabbaghan’s thesis will be recognised with a Certificate of Merit.

    The members of the award panel for 2019 are:

    • Professor David Sundaram, The University of Auckland*
    • Professor Antonio Diaz-Andrade, Auckland University of Technology
    • Associate Professor William Wang, University of Waikato
    • Associate Professor Annette Mills, University of Canterbury (Chair)

    * To avoid a conflict of interest Professor Sundaram abstained from voting on Dr. Sabbaghan’s thesis.