How green HRM and technological turbulence predicts green product innovation: a STARA tale

Samuel Ogbeibu*, John Burgess, Jude Emelifeonwu, Vijay Pereira

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

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Challenged by constant technological advancements in smart technology, artificial intelligence, robotics, and algorithms (STARA) amid global warming concerns; several organisations in developed and emerging economies are probing into future oriented avenuesfor engendering green product innovations (GPI). With rising governmental demands for emerging economies like Malaysia to go green, and develop organisational human capital to drive GPI, organisations’
human resource management (HRM) programs are required to support the workforce in realising environmental objectives. Research therefore, suggests complementary Green HRM (GHRM) programs to constantly develop STARA related leader competencies. This research investigates how GHRM, technological turbulence and leader STARA competence (LSC) acts to predict GPI.
Results indicate that technological turbulence negatively predicts GPI and reinforces the positive relationship between GHRM and GPI. While GHRM positively predict GPI, LSC’s prediction of GPI is insignificant. However, LSC amplifies the positive relationships between GHRM, technological turbulence and GPI. Policy implications are subsequently discussed.
Original languageEnglish
Publication statusPublished - 2 Sept 2020
Externally publishedYes
EventBritish Academy of Management 2020 Conference in the Cloud: Innovating for a Sustainable Future - Virtual
Duration: 2 Sept 20204 Sept 2020 (Event website.)


ConferenceBritish Academy of Management 2020 Conference in the Cloud
Abbreviated titleBAM2020
Internet address


  • leader STARA competence
  • technological turbulence
  • green human resource management
  • green product innovation


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