Track 1: General Track in Information Systems
The General Track in IS encompasses a broad spectrum of research topics pertaining to the utilization, advancement, governance, and societal impacts of information systems within organizations and communities. This track delves deeply into the conceptualization, execution, and efficacy evaluation of information systems designed to support various facets of business operations. Topics covered include system analysis and design, database management, network security, IT project management, and software development. Moreover, this track underscores the pivotal role of information systems in the contemporary digital landscape.
Track 2: Conference theme (Artificial Intelligence in Digital Economies)
This research track delves into the transformative application of artificial intelligence (AI) within digital economies. It investigates how AI technologies such as machine learning, natural language processing, robotic process automation, and predictive analytics are reshaping diverse domains of digital economies, spanning from e-commerce and digital marketing to digital supply chains. Emphasis is placed on formulating effective strategies for seamlessly integrating AI into business frameworks to drive innovation, enhance efficiency, and foster competitive advantages within digital ecosystems. Additionally, this track scrutinizes the regulatory and policy considerations pertinent to the widespread adoption of AI technologies in digital economies.
Track 3: Business Analytics, Decision Making, and Insights
This research track focuses on methodologies, tools, and strategies aimed at extracting actionable insights from extensive datasets, thereby enriching decision-making processes within business environments. It amalgamates insights from disciplines such as statistics, computer science, and business management, leveraging predictive modeling and trend forecasting to facilitate informed business decisions. This track offers a comprehensive framework for comprehending the pivotal role of data in shaping business strategies, equipping stakeholders with the requisite tools and expertise to convert raw data into strategic assets.
Track 4: Ethical Concerns and Risks in AI
This research track is dedicated to examining the ethical implications and potential risks associated with the development and deployment of artificial intelligence (AI) systems. It endeavors to elucidate the multifaceted issues arising from the integration of AI across various sectors, encompassing privacy, transparency, accountability, bias, and the specter of misuse. Furthermore, this track delves into the ramifications of AI on decision-making processes and societal dynamics, aiming to inform the formulation of ethical guidelines and risk mitigation strategies to ensure the responsible and beneficial utilization of AI technologies.
Track 5: AI in Healthcare
This research track explores the integration of artificial intelligence, including large language models, across diverse facets of the healthcare sector. This encompasses augmenting patient engagement, facilitating telemedicine, optimizing health information retrieval, and enriching medical education and training initiatives. Additionally, it entails supporting healthcare professionals in their workflows, providing mental health assistance, facilitating clinical decision-making, and enabling health monitoring and surveillance. This track further investigates AI's role in language translation, drug interaction screening, personalized treatment recommendations, chronic disease management, rehabilitation support, remote patient monitoring, and palliative care assistance, while addressing pertinent ethical considerations and potential risks.
Track 6: User Engagement and Experience in the Digital Era
This research track delves into the utilization of digital technologies to enhance user interaction and satisfaction. It explores various dimensions of digital platforms, ranging from user interface design to personalized content delivery, and their collective impact on user engagement and satisfaction levels. Key focal points include usability testing, user-centered design methodologies, personalization algorithms, and accessibility enhancement measures within digital environments. This track underscores a holistic comprehension of the strategies and techniques underpinning the creation of engaging and enriching digital experiences.
Track 7: Social Media and Digital Markets
This research track examines the intricate interplay between social media platforms and digital marketplaces. It investigates the influence of social media on consumer behavior, market dynamics, and brand reputation management strategies. This track scrutinizes the diverse approaches adopted by businesses to optimize their presence on social media platforms, encompassing content creation, data analytics, and targeted marketing initiatives. Key areas of study include social media marketing strategies, online consumer behavior patterns, digital advertising methodologies, and e-commerce optimization techniques, underscoring the symbiotic relationship between social media platforms and digital marketplaces.
Track 8: AI in Business and Society
This research track delves into the pervasive integration and consequential impact of artificial intelligence (AI) technologies across varied business sectors and societal contexts. It explores how AI innovations are reshaping traditional business processes, decision-making paradigms, and societal interactions. Key areas of inquiry encompass machine learning applications in business settings, ethical considerations surrounding AI deployment, societal implications of widespread AI adoption, and the influence of AI-driven decision-making frameworks. Moreover, this track emphasizes the formulation of strategies for effectively integrating AI into business operations to foster innovation, streamline processes, and cultivate competitive advantages, while fostering responsible AI deployment practices.
Track 9: FinTech and Innovations in the Financial Sector
This research track delves into the application of technological advancements within the realm of finance. It examines how financial technology, or FinTech, is revolutionizing traditional financial services, spanning banking, investment, insurance, and beyond. Key areas of focus include blockchain technology, digital currencies, algorithmic trading mechanisms, and robo-advising platforms. Additionally, this track assesses the developmental trajectories and deployment modalities of FinTech innovations, their broader impacts on the financial landscape, and the attendant regulatory challenges and risk considerations. Emphasis is placed on fostering innovation and embracing digital transformation strategies to navigate the evolving financial terrain effectively.
Track 10: Process Innovation, Automation, and Innovations in Digital and Mobile Commerce
This research track centers on the conceptualization and implementation of technological breakthroughs within the domain of digital and mobile commerce. It elucidates how process innovation and automation can optimize business workflows and catalyze growth within digital marketplaces. Key focal points encompass emerging technologies in e-commerce, automation frameworks, mobile marketing strategies, and digital payment ecosystems. Furthermore, this track illuminates the ripple effects of these technologies on business models, market dynamics, and consumer behaviors, spotlighting the imperative of innovation-driven strategies to thrive in the evolving digital commerce landscape.
