Studies that improve understanding of how IT is used by individuals or groups of users, and that encompass antecedent factors or consequences of IT adoption; prediction models for attitudes, intention, and behaviors are included in this theme; in addition, research that addresses organizational decision-making processes, whether mediated by technologies, algorithms, artificial intelligence, machine learning, or by organizational governance, is also covered in this theme.

Studies involving applications for: Big Data; Business Analytics (BA); Artificial Intelligence; Machine Learning; People Analytics; Web Analytics; Neural Networks.

Studies involving the aspects and mechanisms related to the creation, collection, acquisition, storage, dissemination, and use of knowledge in an organization. Three main subthemes stand out: (i) the relationship of Knowledge Management with other areas of knowledge such as strategy, governance, operations, culture, innovation, organizational performance, learning, etc., as well as the proposition and application of models and frameworks in specific business contexts and situations; (ii) knowledge management processes supported by information and communication technology, considering everything from the creation of knowledge at the individual/team level to the evaluation of the benefits of organizational learning, as well as organizational maturity in knowledge management; (iii) impacts of emerging digital technologies (such as AI, Internet of Things, Digital Twin, Blockchain, etc.) on current knowledge management practices, considering aspects such as open innovation, ecosystems, platforms, communities of practice, agile teams, among others.

This theme proposes to discuss the strategic role of Information and Communication Technology (ICT), Data, and Artificial Intelligence (AI) in building resilient, ethical, sustainable, and innovative organizations. It involves the study of structures, processes, technologies, and practices of ICT governance and management that ensure strategic alignment, value generation, cybersecurity, responsible use of technology, sustainability, and ethical and regulatory impacts.

This theme covers studies related to, but not limited to:
- IT governance and strategies aligned with sustainable development and value generation.
- Data Management and Governance, including frameworks, decision-making roles, models, and standards.
- Artificial Intelligence from the perspective of strategy, governance, engineering, and organizational use.
- Intelligent agents and autonomous systems applied to governance, management, decision-making, and organizational monitoring.
- Responsible applications of AI, blockchain, IoT, and other emerging technologies aimed at the Sustainable Development Goals (SDGs).
- Digital ethics, inclusion, accessibility, and social responsibility in the use of technologies.
- Cybersecurity, privacy and data protection, compliance, and organizational resilience against digital risks and vulnerabilities.
- Digital sustainability, socio-environmental responsibility, ESG, social and environmental impacts of ICT and AI.
- Green IT practices, energy efficiency, and circular economy in digital infrastructures.

(a) Use of IT for solutions that assist urban life, for improving quality of life, citizen well-being, and sustainability;
(b) Models and applications of smart cities policies for the areas of energy, transport, health, education, public safety, and infrastructure;
(c) Information Systems in health, education, and innovation in services and processes;
(d) Use of IT in the provision of services to citizens, in supporting management and public policies, and their implications;
(e) Digital Exclusion and Digital Inequalities;
(f) Open Government, Open Government Data, Public Innovation, and collaboration with citizens;
(g) Big Data and Data Analytics and their implications in the context of government and public institutions;
(h) Adoption and use of Blockchain technology in the areas of health, legal, economic-financial, and other sectors of society for the provision of services to citizens;
(i) Digital Transformation and its implications in the public sector;
(j) Planning, adoption, and implications of Artificial Intelligence solutions in the public sector;
(k) Privacy and Information Security in the context of government and public institutions.

Studies on the adoption, use, management, and organizational impacts of information and communication technologies, considering both traditional systems and emerging solutions. Studies include:
- Integrated enterprise systems: ERP, CRM, SCM, BPM (Business Process Management), Process Modeling with BPMN.
- Automation and process redesign in organizations.
- Robotic Process Automation (RPA), Intelligent BPM (iBPM).
- E-commerce and Integrated Marketplaces.
- Digital platforms, inter-organizational ecosystems, and IT-based collaborative networks.
- Organizational impacts of using technologies such as: cloud computing, mobile computing and applications in distributed environments, Blockchain, Internet of Things (IoT), Augmented/Virtual Reality, Digital Twins, among others.
- Indicators and impact assessment: KPIs associated with ICT adoption.
- Organizational, ethical, and social impacts of technology: privacy, security, algorithmic bias, transparency, and sustainability (ESG).

Digital transformation represents a profound reconfiguration of organizations, driven by the advancement of digital technologies and the need to adapt to new behaviors, consumption models, and innovation ecosystems. It is a continuous process that transcends the mere digitalization of processes, requiring cultural, structural, cognitive, and strategic change so that organizations — public, private, or third sector — can generate sustainable value in an increasingly dynamic, connected, and data-driven environment. The theme seeks to understand how information and communication technologies (ICTs) drive innovations in products, services, processes, and business models, as well as analyze their organizational, social, and economic impacts.
- Application of emerging technologies and Deep Techs, such as artificial intelligence (including generative AI), big data, IoT, blockchain, augmented/virtual reality, metaverse, quantum computing, and 5G networks.
- Digital innovation in products, processes, services, and business models, with organizational redesign and digitalization of value chains.
- Digital maturity models, readiness diagnostics, and transformation strategies in public, private, and third sector organizations, considering their role in digital and innovation ecosystems, especially in the articulation between Deep Techs, public policies, and entrepreneurship.
- Data-driven culture, transformational leadership, change management, and new ways of working in digital environments and smart workspaces.
- Integration of AI-based applications, such as chatbots, virtual assistants, and intelligent tutoring systems, in the digital ecosystems of organizations, as a vector for innovation and digital transformation.
- Creation of new digital businesses based on data governance, cybersecurity, and technological responsibility, considering their ethical, social, and environmental implications — such as algorithmic bias, privacy, and inclusion.
- Cognitive dynamics in digital transformation: impacts of digital technologies on attention processes, decision-making, organizational learning, and adaptive behavior in complex and data-intensive environments.
- Digital activism, citizen participation, and reconfiguration of the public sphere driven by digital transformation and the principles of Open Government, mediated by emerging technologies.