Information Technology

Coordinator: Gilberto Perez, PhD

MACKENZIE

Temas e Líderes:

Studies that involve applications for: big data; business analytics (BA); artificial intelligence; machine learning; people analytics; web analytics; neural networks.

Studies that involve: IT governance; IT management; Strategic IT alignment; IT planning, outsourcing; IT value analysis; IT risks and security; cybersecurity; systems auditing; frameworks, models, and standards related to IT governance; IT architecture and infrastructure.

Adoption and use of IT by society, organizations, and individuals within the sphere of the public sector, and its contributions to democratic practices, participation, and transparency; use of IT in providing services to citizens, in supporting management and public policies, and its implications; relationships between the use of IT and development; green IT, electronic waste, digital inclusion/exclusion; uses of IT in education, in health, and in innovation.

Studies that involve innovation in products, processes, services, and management, through the adoption and use of ICT as well as new business models enabled by ITC (social networks, mobile apps, the internet of things, big data, etc.).

Adoption, use, and organizational impacts of: corporate systems – ERP (enterprise resource planning) systems, CRM (customer relationship management), SCM (supply chain management), blockchain, BI ( business intelligence); inter-organizational systems for collaborative chains; mobile computing; electronic businesses; internet banking; or which involve automating and redesigning administrative, business, and industrial processes.

Studies that improve the understanding of how IT is used by individuals or groups of users and that cover antecedent factors or consequences of IT adoption; models for predicting attitudes, intention, and behaviors are contained in this topic; in addition, research that covers organizational decision-making processes, whether these are mediated by technologies, algorithms, artificial intelligence, machine learning, or by organizational governance, is also contemplated in this theme.

Evolution of and trends in project management methods, techniques, and tools; success in projects; agile methods; alignment of traditional, agile, and hybrid methods; adoption and use of data analytics in projects; maturity models in projects; application of agile methods in non-software projects; productivity in agile projects; agile methods in complex and/or global projects; transformation and/or transition of traditional environments to agile environments; program management; managing project portfolios; project governance; organizational ambidexterity and project management; scaled agile; agile teams.