With respect for Aboriginal cultural protocol and out of recognition that its campuses occupy their traditional lands, 黑料社 acknowledges the Darug, Dharawal, Gadigal, Gundungurra and Wiradjuri peoples and thanks them for their support of its work in their lands (Greater 黑料社 Sydney and beyond).
黑料社
Research
About 黑料社
WSU Business School
Business Technology and Analytics
Head of Discipline |
The Business Technology and Analytics Discipline is a dynamic, forward-looking academic team undertaking applied and impactful research examining how digital technologies and advanced business analytics enable novel operating models, capabilities and innovation to transform organisations, decision-making and work.
We deliver a future-oriented curriculum that focuses on the holistic integration of technologies, analytics, and AI to enable digital transformation in organisations.聽By equipping students with the ability to generate insights from diverse data sources, we prepare them to lead evidence-based decision-making and strategic initiatives.聽Our integrated approach to operations, logistics, supply chain management, and project management ensures students are adaptable and skilled at effectively managing organisations for operational excellence and resilience in constantly evolving environments. Our students聽build strong conceptual and practical capabilities to navigate the ethical, environmental and social dimensions of organisational decisions based on their learning in various activities, including case studies, simulations, and industry engagements.聽
We are highly productive and engaged researchers dedicated to solving organisational challenges. We specialise in empirical research, utilising a comprehensive suite of qualitative, statistical, and operations research methods. Using such multi-method approaches, our research strengthens organisational capabilities driving improvements in productivity, resilience, and sustainable performance.聽
Our research strengths are in,
- Advanced technology adoption (I4.0/I5.0 /AI)
- Technological and innovation capabilities
- Digital transformation
- Sustainability, circular economy, life cycle analysis and life cycle costing
- Supply chain robustness and resilience
- Decision support systems
- Cost benefit analysis in technology adoption decisions
- Advanced manufacturing technology integration
- Process re-engineering and quality management
- Policy guidance utilising research-based evidence
Academics for this Discipline
Acknowledgement of Country
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