Track #01 - General Track

Short Description of the Track

We are pleased to announce the call for papers for for the General Track of the upcoming conference on "Navigating Digital Landscapes: Bridging Technology, People, and Processes". This General Track will welcome a broad spectrum of Information Systems (IS) topics and encourages submissions that reflect various theoretical perspectives, methodological approaches, and domains of application.

Please check the fit of your paper with the topics of other tracks before submitting it to this track. We are looking to foster a multidisciplinary dialogue.

We look forward to your contributions and to an engaging exchange of ideas that will help shape the future of how we understand and navigate our increasingly digital lives.

Track Co-Chairs

João Bastista, ISCA / UAveiro, Portugal 

Anabela Mesquita, CEOS.PP, ISCAP, Polytechnic of Porto, Portugal (This email address is being protected from spambots. You need JavaScript enabled to view it.)

PC Members

Alaa Nehme, Mississippi State University
Ana Alice Baptista, University of Minho
Ana Branca Carvalho, Polytechnic Institute of Viseu
Anabela Mesquita, Polytechnic of Porto, CEOS.PP
António Trigo, ISCTE-Instituto Universitário de Lisboa
Arminda Lopes, Polytechnic Institute of Castelo Branco
Beatriz Afonso, NOVA IMS - Nova Information Management School - Universidade Nova de Lisboa
Burcu Koç, Sakarya University
Carlos Borralho, Polytechnic Institute of Beja
Carlos Costa, ISEG - Lisbon School of Economics and Management, Universidade de Lisboa
Carlotta Tabea-Lehmann, NOVA IMS - Nova Information Management School - Universidade Nova de Lisboa
Catarina Neves, NOVA IMS - Nova Information Management School - Universidade Nova de Lisboa
César Páris, Polytechnic Institute of Coimbra
Christoph Schneider, IESE
Cristóvão Sousa, Polytechnic of Porto
Edison Lee, Monash University Malaysia
Ema Nurmaya, Universitas Ahmad Dahlan
Eva M. Lodeiro-Estraviz, UAX
Fernando Belfo, Polytechnic Institute of Coimbra, Algoritmi Research Centre, University of Minho
Fernando Moreira, Universidade Portucalense
Filipe Madeira, Polytechnic Institute of Santarém
Filipe Portela, University of Minho
Frederico Cruz-Jesus, NOVA IMS - Nova Information Management School - Universidade Nova de Lisboa
Gonçalo Carnaz, University of Aveiro, IEETA
Hajer Aloulou, Aix Marseille University
Herat Joshi, Great River Health Systems
Isabel Ramos, University of Minho
Isabel Vieira, Polytechnic of Porto
Joana Neves, NOVA IMS - Nova Information Management School - Universidade Nova de Lisboa
Joao Batista, University of Aveiro
João Varajão, University of Minho
Jorge Rodrigues, NOVA IMS - Nova Information Management School - Universidade Nova de Lisboa
José Reis, Polytechnic of Porto
Leonor Teixeira, University of Aveiro
Luis Lizama
Marco Smacchia, Università degli studi "G. d'Annunzio) Chieti - Pescara
Marhaini Mohd Noor, Universiti Malaysia Terengganu
Mariana Cardoso-Andrade, Centro de Ciências do Mar do Algarve (CCMAR)
Mariana Curado Malta, INESC TEC, Faculty of Engineering, University of Porto
Paulo Cortez, University of Minho
Pedro Neves Rito, Polytechnic Institute of Viseu
Rui Dinis Sousa, University of Minho
Rui Quaresma, University of Évora

Track #02 - Digital Transformation for Social and Economic Development and Inclusion in Developing and Underexplored Contexts

Short Description of the Track

A continuing stream of IT innovations is disrupting our world at both micro and macro levels. Among them, AI is seeking to create intelligent machines capable of simulating human cognitive functions such as learning, problem-solving, perception, and decision-making (Armenia & al., 2024). Hence, AI-based machines continue to push industries to make proactive decisions at both organizational and individual levels. According to Henrique & Santos (2024), AI can be found in many applications, and it has many forms and flavors. For example, automation machines (Parasuraman & Riley, 1997), chatbots (Araujo, 2018), and decision-support aids (Buehler & Weisswange, 2020). The “ChatGPT paradigm” is pushing both IT providers and business owners to rethink the way digital technologies can be used to initiate innovative use, and to develop creative business models.
AI rapidly triggers a wave of machine replacement in the industrial field and profoundly changes the service industry's work mode and job configuration (Chen & al., 2024). AI-driven forecasting models appear robust in technology adoption (Hengstler & al., 2016), and innovation management (Haefner & al., 2021). Mikalef & Gupta (2021) showed, via exploratory research, that AI-enabled talent applications improved individual experiences, job satisfaction, and commitment, reducing turnover intention. This illustrates the potential of AI to transform knowledge sharing and management in an increasingly globalized world (Armenia & al., 2024). Exploring the potential impact of AI on the project management profession, Fridgeirsson & al. (2021) find that AI could be an integrated part of future project management practices, particularly affecting cost, schedule, and risk management.
All new technologies will create opportunities to develop new products, processes, and techniques, but would also come with new challenges to employers and employees who need to adapt the work organization, the distribution of work, and their skills (Hanelt et al., 2021; Schwertner, 2021). Thus, digital transformation generates transitions in the employee's professional, company, and managerial practices trajectories. It profoundly reshapes the structure of professions and modify the content of existing jobs in both developing and developed contexts.
The track aims at discussing theoretical foundations that can support the digital transformation for social and economic development and inclusion, especially in developing and underexplored contexts. Indeed, topics in line with digital technologies governance and implementation in developing and developed countries are of great interest to researchers, policymakers, IT providers, and businesses. 

Main References 
Armenia, S., Franco, E., Iandolo, F., Maielli, G., & Vito, P. (2024). Zooming in and out the landscape: Artificial intelligence and system dynamics in business and management. Technological Forecasting and Social Change, 200, 123131. 
Chen, K., Chen, X., Wang, Z., & Zvarych, R. (2024). Does artificial intelligence promote common prosperity within enterprises? —Evidence from Chinese-listed companies in the service industry. Technological Forecasting and Social Change, 200, 123-180. 
Haefner, N., Wincent, J., Parida, V., & Gassmann, O. (2021). Artificial intelligence and innovation management: A review, framework, and research agenda✰. Technological Forecasting and Social Change, 162, 120392. 
Hanelt, A., Bohnsack, R., Marz, D., and Antunes Marante, C. (2021), “A systematic review of the literature on digital transformation: Insights and implications for strategy and organizational change”, Journal of Management Studies, Vol.58, N°5, pp.1159-1197.
Mikalef, P., & Gupta, M. (2021). Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance. Information & Management, 58(3), 1-20.

Track main topics

The main academic areas covered in this track include, but are not limited to:

•    Digital transformation and economic inclusion  
•    Digital transformation and social inclusion  
•    Digital transformation and transitions in the employee's professional, company, and managerial practices trajectories
•    Digital transformation of Business models
•    Digital transformation and project management
•    AI and Project management
•    Digital transformation and inclusion in different fields: Education, Agriculture, Fintech, etc. 
•    Artificial intelligence and Business transformation

Both theoretical and empirical contributions (e.g., full research papers, research-in-progress papers, experience-in-the-field reports, case reports) will be appreciated.

Track Co-Chairs

Karim Mezghani, University of Sfax, Tunisia (This email address is being protected from spambots. You need JavaScript enabled to view it.)

Amira Sghari, University of Tunis, Tunisia

Track Co-Chairs

Amin Khalil Alsadi, College of Economics and Administrative Sciences, Imam Mohammad Ibn Saud Islamic University
Amira Sghari, University of Tunis
Faouzi Ayadi, College of Economics and Administrative Sciences, Imam Mohammad Ibn Saud Islamic University
Fatma Bouaziz, University of Sfax
Gabriel Lopes Pereira, Instituto Federal Catarinense
Ionut Cosmin Baloi, Craiova University
Karim Mezghani, University of Sfax, Tunisia
Magalie Duarte, LEMNA, Nantes Université
Mona Fourati Ennouri, IHEC Sfax
Mousa Albashrawi, King Fahd University of Petroleum & Minerals
Neda Abdolvand, Faculty of Social Sciences and Economics, Alzahra University
Sana Skandrani, Karlstad University
Solène Juteau, Métis Lab, Gredeg CNRS
Xavier Cardenas, IE- Business School
Zeineb Mezghani, School of commercial higher studies
Zouhour Hachicha, College of Economics and Administrative Sciences, Imam Mohammad Ibn Saud Islamic University

Track #03 - Strategic alignment for Information systems and logistics 5.0

Short Description of the Track

The advancement of technology has led many companies to achieve efficiency and effectiveness through adoption of new information technology applications. On the other hand, the adoption of these new technologies have led to disruptions and threats. Most of these disruptions are attributed to two main factors. The first factor is the misalignment of the type of information system adopted and the strategic initiatives of the company. This is especially true in the field of supply chain management and logistics where technologies such as IoT, RFID, and QR codes have been unsuccessful in achieving their initial efficiency goals. The second factor is related to the threat perceived by humans when the organization decides to adopt new technology. These threats could be initiated through the perception of usefulness or/and ease of use of the new technology.
The adoption of new information technologies such as Artificial Intelligence (AI) and Machine Learning (ML) in supply chain and logistics might trigger a threat to the employees currently working on processes under consideration for change. Employees are afraid that companies will exclude human beings in face of the growing need for more effective, efficient and speedy processes. In this sense, Logistics 5.0 emerged. While Logistics 4.0 assumes that a better performance is achieved when the work is more automated, Logistics 5.0 explores the idea of what benefits could be extracted by combining the workforce of humans and machines.
Logistics 5.0 and information systems strategy converge to create a holistic approach to digitalization in logistics that prioritizes human well-being, collaboration, and adaptability. By embracing these principles, organizations can bridge the gap between strategic objectives and technological capabilities, leading to more sustainable, efficient, and resilient logistics operations and hence, developing a more human centric approach towards organizational digitalization, there is yet much to explore on how this role could be achieved.
This track presents a step towards filling the academic gaps presented above through providing a mixture of theoretical, empirical and case studies addressing the stated gaps. The track welcomes original research promoting theoretical and innovative applications, and constituting a valuable resource for both researchers and top executives in the supply chain/logistics/digitalization field.

Track main topics

Making Logistics more human centric and strategically aligned with organizational objectives:

• Developing Information Management systems which are more user friendly would ensure the inclusiveness of all types of logistics personnel
• Empowering logistics workers through aligning their capabilities with current technologies (AI, IoT, ML, Robotics,… )
• Analyze how information systems and digital technologies could support strategic initiatives such as cost reduction, improved delivery times, and enhanced customer service without affecting human capital.
• Explore how Agile development methodologies could promote successful human inclusion allowing IS strategies to be more flexible and responsive in the logistics landscape
• Evaluate the lore of inclusive and open communication between information systems designers and business stakeholders to understand the goals, challenges and threats associated with logistics technology adoption
• Leverage data analytics to measure the impact of technology on both logistics performance and human well-being.

Track Co-Chairs

Dr. Hany Abdelghaffar Ismail, The German University in Cairo, Egypt (This email address is being protected from spambots. You need JavaScript enabled to view it.)

Mona Ali, The German University in Cairo, Egypt (This email address is being protected from spambots. You need JavaScript enabled to view it.)

Track #04 -Innovation and Transparency: Challenges and Opportunities of Open Data and Participatory Governance Policies

Short Description of the Track

In a global context of rapid digital transformation, open data emerges as an essential tool to promote transparency and effectiveness in city governance. However, this data disclosure raises substantial concerns, including information security in increasingly interconnected urban environments and issues related to protecting citizens' sensitive data. We also consider selective transparency and potential manipulations of open data, which can compromise data integrity and hinder citizen's trust in government. Addressing these concerns is crucial to developing policies and practices that ensure open data's ethical and inclusive use, maximizing its benefits and mitigating associated risks.
The track "Innovation and Transparency: Challenges and Opportunities of Open Data and Participatory Governance Policies" aims to gather scientific contributions that provide a broad view of open data's advances, challenges, and opportunities in the context of smart cities.
This track examines how smart cities integrate open data to promote evidence-based public management. It also investigates the fundamental role of open data in building resilient cities, enabling a swift and coordinated response to natural disasters and climate change.
We aim to understand how open data platforms can stimulate innovation and collaboration between the public and private sectors. Furthermore, we want to understand the emerging models and frameworks related to open data and their impact on cities.
This track also aims to address ethical and legal challenges, particularly those regarding the protection of citizens' data privacy and the responsibility to manage this information.

Track main topics

Topics of interest include, but are not limited to:

• Case Studies of Successful Open Data Initiatives: Exploration of specific examples where open data has led to significant social, economic, or environmental benefits.
• Barriers to Open Data Accessibility: Research addressing technical, cultural, and legal hurdles in implementing open data policies.
  The Role of Open Data in Crisis Response: Papers analyzing how open data has been used in emergencies, like natural disasters or public health crises, to improve response and recovery efforts.
• Ethics and Privacy Concerns in Open Data: Research balancing transparency with protecting individual privacy and security.
• Economic Impacts of Open Data: Research evaluating how open data contributes to economic development and innovation.
• Transparency in Public Procurement: Research on how open data can ensure fairness, efficiency, and transparency in public contracts and procurement processes.
• Open Data and Environmental Sustainability: Research on how open datasets can support environmental policy-making and promote sustainability initiatives.
• Open Data for Public Sector Innovation: Research demonstrating how open data can drive innovation in public services, from transportation to healthcare.
• Data Governance and Participation: Research on strategies for stakeholder engagement in decision-making and management processes of data infrastructures

Track Co-Chairs

Ana Alice Baptista, University of Minho, Portugal

Fernanda Campagnucci, University of Münster, Germany

Isabel Ramos, University of Minho, Portugal (This email address is being protected from spambots. You need JavaScript enabled to view it.)

Ilka Kawashita, University of Phoenix, USA (This email address is being protected from spambots. You need JavaScript enabled to view it.)

Victor Barros, University of Minho, UM, Portugal (This email address is being protected from spambots. You need JavaScript enabled to view it.)

Track #05 - Intelligent Ambient Assisted Living Systems

Short Description of the Track

Intelligent Ambient Assisted Living Systems intertwine with Information Systems, bridging human needs, technological advancements, and systemic integration for enhanced quality of life and personalized assistance. They are the basis of different developments in different areas. It combines a joint of areas for the improvements of the quality of life that currently needs to be focused on elderly people and people with special needs. There are a lot of improvements that the technological equipment may hold in assisted living systems, including the creation of intelligent systems for the treatment, diagnosis, and prevention of several problems. Intelligent systems are currently growing in different areas. These systems should have regulations during their development for their acceptability in the market. The mobile devices or other specific devices can be connected to the improvement of the intelligent systems.
Several situations can be monitored, treated, and minimized with the use of technological equipment. Despite the opportunities that technologies offer in this area, they also bring significant challenges, which require ever more attention and action, since despite the rapid technological evolution, the human, social and cultural component will continue to be a fundamental art for the success of this type of system.
The current evolutions in this topic will be very useful for the different areas.

Track main topics

• Assistive technology and adaptive sensing systems
• Artificial intelligence and data analytics for healthcare
• Virtual and augmented reality in healthcare
• Mobile systems usability and accessibility
• Governance and information systems in healthcare
• Independent living and special healthcare services
• Special medical applications/services
• Motion and path tracking medical devices/systems
• Human-Computer interaction and accessibility
• Citizen-oriented well-being wireless services
• Personalization and Precision Medicine
• Social sustainability of intelligent assisted living systems
• Interoperability of intelligent assisted living systems

Track Co-Chairs

Leonor Teixeira, Department of Economics, Management, Industrial Engineering and Tourism (DEGEIT), Institute of Electronics and Informatics Engineering of Aveiro (IEETA)/Intelligent Systems Associate Laboratory (LASI), University of Aveiro, 3810-193 Aveiro, Portugal (This email address is being protected from spambots. You need JavaScript enabled to view it.)

Ivan Pires, Institute of Telecommunications, School of Technology and Management of Águeda, University of Aveiro, Águeda, Portugal (This email address is being protected from spambots. You need JavaScript enabled to view it.)

Jorge Sá, Department of Information Systems, Centro ALGORITMI, University of Minho, 4800-058 Guimarães, Portugal (This email address is being protected from spambots. You need JavaScript enabled to view it.)

Filipe Madeira, Research Center for Arts and Communication (CIAC), Santarém Polytechnic University, Complexo Andaluz, Apartado 279, 2001-904 Santarém, Portugal (This email address is being protected from spambots. You need JavaScript enabled to view it.)

Track #06 - Digital Learning for Digital Inclusion

Short Description of the Track

Digital technology has transformed the way we live, work, and learn. While many of us have embraced this transformation, there are still millions of people who are digitally excluded. Lack of access to digital technologies and skills has created a "digital divide" between those who have access to digital resources and those who do not. This digital divide has significant consequences for individuals, communities, and societies at large, leading to social exclusion, economic inequality, and limited access to essential services.

This track proposal aims to explore the role of digital learning (as a technology) in achieving digital inclusion and empowerment (as a process) across digital divides (as people). Digital learning, which involves using digital technologies to facilitate learning, can be a powerful tool for empowering individuals and communities to access digital resources and acquire digital skills. Through this track, we seek to bring together researchers, educators, practitioners, policymakers, and other stakeholders to explore the challenges and opportunities of digital learning for achieving digital inclusion.

Overall, this track will provide a forum for scholars and practitioners to share their experiences and insights on how digital learning can help bridge the digital divide and achieve digital inclusion. We hope that this track will inspire new ideas and collaborations, leading to innovative solutions for promoting digital inclusion and social equity in the digital age.

Track main topics

Topics to be covered in this track may include:

• Theoretical frameworks for understanding digital inclusion and digital learning
• Case studies and best practices of digital learning for digital inclusion
• Implications of the framework “Technology, People, and Process” in the context of digital learning
• Designing and delivering effective digital learning programs for diverse populations
• Practices of hybrid learning to achieve digital inclusion and empowerment
• Assessing the impact of digital learning on digital inclusion and empowerment
• Addressing barriers to digital inclusion and empowerment through digital learning
• Policy implications of digital learning for achieving digital inclusion and empowerment
• Ethical considerations of digital learning for digital inclusion
• Future directions of research and practice in digital learning for digital inclusion

In this track, we welcome submissions as full research papers and research-in-progress papers.

Track Co-Chairs

Safa'a AbuJarour, American University of Sharjah, UAE (This email address is being protected from spambots. You need JavaScript enabled to view it.)

Mohammed AbuJarour, XU Exponential University of Applied Sciences in Potsdam, Germany

Track #07 - Cybersecurity and digitalization of financial and payment services in the Era of Emerging Technologies

Short Description of the Track

The business environment is changing rapidly, driven by the exponential growth of technological innovation, the intensifying competition, and the globalization of markets. Digitalization of services, for example, cashless payment systems, are becoming increasingly popular as a way to facilitate transactions in this interconnected environment, but they also pose new challenges that must be addressed to ensure security and reliability in the continuation of business.

The rise of fintech has played a critical role in the development of cashless payment systems. Fintech has disrupted traditional models of banking and finance, offering new ways to access financial services and conduct transactions. The technological infrastructure that supports cashless payment systems includes mobile networks, mobile devices, and a variety of mobile applications, as well as financial technology. Advances in e-commerce, artificial intelligence, payment technologies, and big data analytics have transformed the way financing is conducted, and fintech has played a critical role in enabling this transformation. However, the integration of emerging technologies into the essential technology infrastructure of cashless payment systems presents significant challenges. One of the most pressing issues is the need for secure and reliable payment network mechanisms across different platforms. In addition, the increase in cyber-attacks targeting financial institutions and payment systems has generated strong concerns about the safety and efficiency of cashless payment systems.

The potential impact of cyber-attacks on cashless payment systems cannot be overstated. Cyber-attacks on payment networks can lead to a loss of confidence in financial institutions and undermine financial stability, resulting in a general negative co-movement across the markets and increased uncertainty. Understanding the risks and challenges posed by cyber-attacks is crucial for developing effective strategies to mitigate these risks and ensure the safe and reliable operation of cashless payment systems.

Despite the growing importance of cashless payment systems, there is a lack of research on this topic, particularly in the Mediterranean/MENA region. This conference track seeks to address this gap by welcoming submissions that explore the opportunities and challenges of cashless payment systems and the role of fintech in shaping the future of the financial sector in the Mediterranean region and beyond. The track is open to research papers, case studies, and technical reports that shed light on emerging payment technologies, big data analytics, artificial intelligence, AI-powered Cyber Defence and Resilience, blockchain, cybersecurity and risk management, regulatory frameworks, and customer adoption and accessibility. By bringing together researchers, practitioners, and policymakers, this track aims to foster a deeper understanding of the complex interplay between technology, finance, and security and to promote innovative solutions to the challenges posed by the evolving business environment.

Track main topics

The main topics of interest may include, but are not limited to, the following:

• Adoption and use of information security and privacy technologies and practices
• Digitalization of payments and cybersecurity
• Cybersecurity frameworks for cashless payment systems
• Digital identity and authentication
• Cashless payment ecosystems and digital divide (e.g. in MENA regions)
• Fintech, financing or banking models or services
• Fintech and Islamic finance
• Emerging trend of disrupting technologies and adaptations
• Information systems for financial decision-making
• User experience and usability
• Data analytics for cashless payment systems and cybersecurity
• Blockchain-based payment systemsDetection of new attacks through AI
• Multi-lingual threat intelligence
• AI-powered Cyber Defence and Resilience
• AI-Powered Incident Response

These topics could explore a wide range of issues related to the intersection of fintech, cybersecurity, and cybersecurity including artificial intelligence, digital financial inclusion, digital transformation, cybersecurity, digital divide, financing, banking models, emerging trends, information systems for managerial decision- making, and user experience.

Track Co-Chairs

Dr. M Sirajul Islam, Dept of OPM/IS, Alfaisal University, Riyadh, Saudi Arabia (This email address is being protected from spambots. You need JavaScript enabled to view it.)

Dr Mohammad N. Al-Marzouq, IS and Operations Management Dept., Kuwait University, Kuwait

Dr. Mevludin Memedi, Dept of OPM/IS, Alfaisal University, Riyadh, Saudi Arabia

Dr. Mobyen Uddin Ahmed, Division of Computer Science and Software Engineering, Malardalen University, Sweden

PC Memebers

M Sirajul Islam, Alfaisal University
Mevludin Memedi, Alfaisal University
Mobyen Uddin Ahmed, Malardalen University
Mohammad Al-Marzouq, Kuwait University

Track #08 - Artificial Intelligence in Project Management

Short Description of the Track

The society in which we live is strongly influenced and supported by information technology, and today, artificial intelligence (AI) systems are at the top of technological innovations. AI has been challenging traditional management paradigms, allowing for the emergence of new business models that are very much focused on machine autonomy and the promise of a powerful and almost complete awareness intelligence. AI applications can help project management evolve in several ways, for instance, by providing advanced tools capable of decision capabilities in project planning, control, and monitoring.
This workshop seeks contributions on new AI technology applications for project management and how AI can provide organizations with new business opportunities and competitive advantages. Simultaneously, it will also focus on presenting different perspectives on the role of AI in this context.

Track main topics

• Artificial Intelligence in Project Management – perspectives and challenges
• AI-powered Project Management Information Systems
• Expert Systems for Project Management
• Intelligent Systems for project control and monitoring
• Intelligent systems for Project Optimization
• Decision Support Systems for complex projects
• Artificial Intelligence tools and techniques for Project Management
• Autonomous Project Management

Track #09 - Unique Web3 Capabilities and Their Societal Applications

Short Description of the Track

This track looks for an IS perspective on how new web3 enabled affordances are and can be applied to cover completely new areas in society and currently serviced societal areas in new ways with new functionalities. Example: Improved user interaction by verifiable credentials in decentralised solutions. Or launch of new services through the use of web3.

The basic idea is to investigate where current ‘legacy’ solutions can be enhanced by web3 and where new and current opportunities and risks by applying web3 can be better researched to be understood as well as open new venues for solutions.

Track main topics

• New web3 enabled affordances covering completely new areas or currently serviced societal areas in new ways
• Where current ‘legacy’ solutions can be enhanced by web3
• New and current opportunities and risks by applying web3 

Track Co-Chairs

Kim Peiter Jorgensen, Tecminho, Uminho University, Portugal (This email address is being protected from spambots. You need JavaScript enabled to view it.)

Jonas Valbjorn Andersen, IT University of Copenhagen, Denmark

Track #10 - Acceptance, Interaction and Decision-Making Towards Human-Centric Information Systems

Short Description of the Track

The track is on Human-Centric Information Systems Interaction, and Data Analytics explores the intricate process of Individual and Organizational Adoption of Information Systems. This interdisciplinary field delves into how technology integrates into daily operations and personal lives, considering factors from technical to organizational and individual dimensions. It aims to unravel the complex interplay between technology adoption and societal dynamics, shedding light on both opportunities and challenges in this landscape. Emerging technologies like Artificial Intelligence (AI) and Fintech are focal points, examining how individuals and organizations adopt them and their impact on operations. Virtual Reality (VR) and Augmented Reality (AR) platforms are also explored, investigating their implications for user experiences and business practices. The track scrutinizes cognitive and neuroscience aspects, understanding how users' mental processes influence interactions with information systems. Analyzing user feedback in social networking and other channels provides insights into preferences and sentiments, guiding system design. Cybersecurity is emphasized, with a focus on human-centric and organizational applications. Privacy implications of data analytics in automatic and semi-automatic systems are examined to ensure data protection. Applications of data analytics, decision support systems, and machine learning in smart cities, agriculture, manufacturing, and sustainable energy sectors are explored. Gaming technologies, interface design, and gamification's impact on user engagement and behaviour are investigated. Finally, the track addresses the adoption of future work skills, including technical and soft skills, crucial for individuals and organizations to thrive in the digital age. Through comprehensive research and analysis, this track aims to provide valuable insights into technology adoption and its implications for society.

Track main topics

• Adoption of Artificial Intelligence and New Technologies
• Adoption to Fintech Technologies
• Adoption of Virtual Reality and Augmented Reality Platforms
• Cognitive and Neuroscience Resources of Users’ Adoption of Information Systems
• Content, Discourse, Semantic and Data Mining Analysis on Customers/Users’ Feedback in Social Networking and Other Channels
• Cybersecurity Human-Centric/Organizational Applications
• Cyber Deception, Cyberpsychology and Personal and Organizational Trust in Digital Platforms and Social Network Channels
• Content, Context, and Data Analytic Analyses of Personal Data Privacy in Full-Automatic and Semi-Automatic Systems
• Data Analytics and Decision Support for Smart City
• Data Analytics for Business Model and Process Management in Digital Services
• Data Science and Machine Learning to Information Retrieved to Support Individual and Organizational Decision Makings
• Decision-Making Analytics and Artificial Intelligence in Digital Platforms
• Decision Support for Smart Services in Agriculture, Manufacturing, and Sustainable Energy sectors
• Digitization of Individual Personal Decision Analytics in Platforms
• Electronic and Mobile Commerce Industry and Consumer Behavior
• Gaming Technologies and User/Organization Adoption
• Individual and Organizational Adaptation to Gamification
• Interface Design, Evaluation, and Impact
• Individuals and Organizationals’ Adoption to Future Work Skills: Technique and Soft Skills

Track Co-Chairs

Orkun Yildiz, Management Information Systems Department of Izmir Democracy University, Turkiye (This email address is being protected from spambots. You need JavaScript enabled to view it.)
Jose C. Alvarez Merino, Industrial Engineering Department of Universidad Nacional Mayor De San Marcos, Peru
Mustafa Zihni Tunca, Business Administration Department of Suleyman Demirel University, Turkiye (This email address is being protected from spambots. You need JavaScript enabled to view it.)
Faruk Arslan, New Mexico State University, USA

Track #11 - Data Analytics and Decision-Making

Short Description of the Track

The proposed track session on the subject of Data Analytics and Decision Making will provide attendees with a wide understanding of the role of statistical analysis and optimization techniques within Information Systems and their broader implications for organisations and society more generally. This track focuses on the impact of analytics-enabled information systems on decision-making. Business intelligence tools and technologies are used to transform raw data into actionable insights that enable stakeholders to monitor performance, identify opportunities and mitigate risks. The aim of this track is to explore the ways in which organisations are using data analytics for strategic decision-making in a range of areas, including but not limited to marketing, finance, operations and human resources.

Papers that utilise mathematical models and predictive modelling techniques for the purposes of forecasting future trends and behaviours, thereby enabling proactive decision-making, in areas such as customer behaviour, demand forecasting and risk management, will also be welcome. The discussion will also welcome papers that focus on the conceptualization and implementation of decision-support systems (DSS) integrating optimization algorithms and data analytics capabilities, with an objective to assist decision-makers in evaluating alternatives, simulating scenarios, and optimizing outcomes. In addition, the track welcomes contributions that use analytics-enabled information systems that apply optimisation techniques to improve sustainability in operations and decision-making, minimising environmental impact, optimising resource use, and balancing economic, environmental and social objectives.

Track main topics

• Data-driven decision making
• Business Intelligence
• Real-time data analytics
• Information systems enabled by analytics
• Statistical analysis of data
• Regression models
• Clustering
• Supervised and unsupervised classification methods
• Predictive analytics
• Forecasting time series
• Decision Support Systems
• Solving complex decision-making problems, such as resource allocation, scheduling, supply chain management, routing, and portfolio optimization
• Optimization algorithms and methods
• Metaheuristics
• Multi-criteria decision analysis
• Stochastic optimization and robust optimization
• Statistical process control and quality management
• Simulation modelling
• Data Envelopment Analysis
• Nonparametric statistical methods
• Multivariate Analysis
• Statistical analysis of income distribution and income inequality
• Impact evaluation

Track Co-Chairs

Cristina Lopes, CEOS.PP, ISCAP, Polytechnic of Porto, Portugal (This email address is being protected from spambots. You need JavaScript enabled to view it.)

Stefano Bonnini - Department of Economics and Management, University of Ferrara, Italy

PC Members

Ana Borges, Polytechnic of Porto
Carla Geraldes, Polytechnic Institute of Bragança
Cristina Lopes, Polytechnic of Porto, CEOS.PP
Cristina Torres, Polytechnic of Porto, CEOS.PP
Eliana Costa E Silva, Polytechnic of Porto, CIICESI
Elif Goksu Ozturk, INESC TEC
Filomena Teodoro, Portuguese Naval Academy
Manuel Cruz   LEMA, Polytechnic of Porto
Massimiliano Giacalone, University of Campania Luigi Vanvitelli
Michela Borghesi, University of Ferrara
Pedro Rocha, INESC TEC
Rui Bertuzi, Polytechnic of Porto
Stefano Bonnini, University of Ferrara
Tânia Teixeira, Polytechnic of Porto
Telmo Pinto, University of Minho

Track #12 - Artificial Intelligence and Information Systems in institutions from different contexts

Short Description of the Track

In the context of organisations, Information Systems (IS) and Artificial Intelligence (AI) play a leading role. Information Systems (IS) enable the collection, storage, processing and dissemination of information within an organisation. AI contributes to intelligent automation by opening up contexts, for example, for the optimisation of routine tasks and standardisation through the use of machine learning algorithms. In this scenario, AI enables IS to analyse large volumes of data quickly and efficiently. With the standardisation of services, IS offers more personalised experiences, adapting products, services and recommendations to users. By having access to this scenario, organisations are in a position to make more effective decisions, responding much more quickly and effectively to local and global market challenges, particularly in their communication with different stakeholders. It is therefore considered necessary to hold a debate on the issues raised.

Track main topics

• Information Systems and information management in organizations
• Digital development and information systems
• Decision making, communication and information systems
• Artificial Intelligence and the production of contexts
• Information Systems, the planning and production of dialogical communication

Track Co-Chairs

Adriana José de Oliveira (CEOS.PP /ISCAP/ Polytechnic of Porto), (This email address is being protected from spambots. You need JavaScript enabled to view it.)

Pedro Espirito Santo (Centre of Applied Research in Management and Economics (CARME), Polytechnic of Leiria, Portugal)

Luísa Augusto (CISED-Centro de Investigação em Serviços Digitais, Instituto Politécnico de Viseu)

Xose Picatoste (Departamento de Economía / Facultade de Economía e Empresa / Universidade da Coruña)

PC Members

Adriana Oliveira, Polytechnic of Porto, CEOS.PP
Albertina Monteiro, Polytechnic of Porto, CEOS.PP
Amélia Silva, Polytechnic of Porto, CEOS.PP
Ana Pereira, Polytechnic of Porto
Elsa Simões, Universidade Fernando Pessoa
Helena Costa Oliveira, Polytechnic of Porto, CEOS.PP
Humberto Ribeiro, University of Aveiro, GOVCOPP
Luísa Augusto, Polytechnic Institute of Viseu
Maria José Angélico Gonçalves, Polytechnic of Porto, CEOS.PP
Pedro Santo, Polytechnic of Leiria
Sandra Tuna, Universidade Fernando Pessoa
Sime Vucetic, University of Zadar
Sonja Brlecic Valcic, University of Zadar
Vlasta Roska, Libertas International University
Xose Picatoste, University of Coruña