Internet and the Digital Economy

We would like to position this mini-track as a place for researchers and practitioners from diverse background to share their research and ideas. There are a variety of important issues and topics of importance, such as new technology and visual design advancements to digital humans, the behavioral, emotional, and even physical responses of the users while interacting with digital humans, the underlying cognitive processes underlying the interactions, the impact of digital humans on the firm level or industry level, and ethical issues and societal considerations of the application of digital humans. Research could be wide ranging, such as rich descriptive statistics, theories, emergent and innovative topics, models and frameworks related to technologies and their impact on marketing, case studies, methods, qualitative research, etc. The topics include but are not limited to:

• Visualization technology to advance digital humans
• Challenges and problems with creating digital humans or scanning and sampling users.
• Human computer interactions, instilled with digital humans, including affective computing issues.
• Design of digital humans by combining human and computer cognitive power.
• Use of GANs and VAEs to infer digital human faces, including approaches building on ‘Deep Fakes’ technology.
• Analysis of machine learning, big data, data mining, and other underlying technologies and algorithms of digital humans
• Taxonomy of digital humans
• Virtual influencers and YouTube digital celebrities
• Impact of digital humans on the individual level (decision making, problem solving, negotiation, and creativity/innovation)
• Psychological and emotional effects of interacting with realistic digital humans
• Biases in interacting with digital humans and biases in the digital humans deployed
• The use of digital humans beyond individuals and its consequences in organizations
• Management of deployment (e.g., corporate governance, data management)
• Case studies on industry adoption of digital humans
• Use and economic implications of digital humans in e-commerce, social media, and the combinations of multiple industries involving e-commerce and social media.
• Social impact and ethics related to digital humans and their use
• Philosophical questions surrounding the idea of ‘using’ digital humans

Minitrack Co-Chairs:

Lingyao Ivy Yuan (Primary Contact)
Iowa State University
lyuan@iastate.edu

Mike Seymour
University of Sydney
mike.seymour@sydney.edu.au

Kai Riemer
University of Sydney
kai.riemer@sydney.edu.au

The minitrack provides a platform for researchers to present and debate novel methods, models, processes, and approaches related to the design, implementation, deployment, operation, and optimization of AI-based assistants and platforms for the digital economy. It aims to encompass wider perspectives, such as the ecosystems of AI-based assistants and platforms. Topics of interest include, but are not limited to:

• Virtual AI-based assistants and chatbots, such as Alexa, Siri, Google, ChatGPT
• Ecosystems of AI-based assistant platforms, e.g. drivers, dynamics, intelligence
• Forms of digital assistance, e.g. digital twins, metaverse, virtual communities
• Business models and processes based on AI-based assistants and platforms
• AI-assistants in the customer journey (pre-/ after sales, service demands)
• Applications in specific domains: e.g., health, education and research, engineering, finance, governance
• Social, ethical, juridical, political, and business implications
• Assistants and chatbots in research and society, e.g. plagiarism, authorship
• Methods, models, and architectures to design and manage AI-based assistants and platforms
• Strategy, innovation, and management of assistants and platforms
• Human interaction and collaboration with AI-based assistants
• Transparency and explainability of the behavior of AI-based assistants
• User, context, cognitive, and learning models
• Assessments of AI-based assistants and platforms, e.g. quality, maturity
• Benefits, risks, security, privacy, and trust of assistants and platforms
• Governance and regulation of digital assistants and platforms

Selected papers will be invited for a fast-track in Electronic Markets – The International Journal on Networked Business.

Minitrack Co-chairs:

Rainer Schmidt (Primary Contact)
Munich University of Applied Sciences
Rainer.Schmidt@hm.edu

Rainer Alt
Leipzig University
rainer.alt@uni‐leipzig.de

Alfred Zimmermann
Reutlingen University
alfred.zimmermann@reutlingen-university.de

Crowd-based platforms on the Internet harness the wisdom, labor and money from the crowd, to facilitate idea generation, labor exchange and funding of innovative entrepreneurial projects. The uprising scale and importance of such platforms has revolutionized the digital economy. They have attracted much research attention in the IS field. The different types of crowd-based platforms offer new opportunities to understand information systems and related problems, such as new product development in crowdsourcing marketplaces; contribution patterns in crowd funding marketplaces; networks in social media platforms; market designs in two-sided matching markets, etc. Hereby, more innovative research is warranted in this research topic, given the scale and societal impact of these platforms.

In this minitrack, we seek to receive submissions of papers related to these three types of platforms below, with topics including but not limited to the following. We also welcome research using different data and methodologies, such as econometrics, field or laboratory experimentation, analytical model, field surveys, qualitative analyses, or theory-building approaches. Topics of interest include, but are not limited to:

• Gig economy platforms
  • Ride sharing platforms (e.g., Uber/Lyft)
  • Lodge sharing platforms (e.g., Airbnb)
  • Online labor markets (e.g., Freelancer/Upwork/Guru/MTurk)
  • Ordering and delivery markets (e.g., Grubhub)
• Crowdfunding marketplace
  • Financial Technology (i.e., FinTech)
  • Algorithmic bias
  • Social capital
  • Funding success factors
• Two-sided matching markets
  • Platform equality
  • Market design
  • Information asymmetry
  • Matching efficiency
• Online communities
  • User-generated content
  • Incentives
  • User engagement

Selected outstanding manuscripts from this minitrack may be recommended to the editors of Data and Information Management to be fast-tracked for the review process.

Minitrack Co-Chairs:

Ni Nina Huang (Primary Contact)
University of Miami
nhuang@miami.edu

Bin Gu
Boston University
bgu@bu.edu

Pei-yu Sharon Chen
Arizona State University
peiyu.chen@asu.edu

Data – recognized as the new oil – are increasingly becoming a critical resource for business success. Companies must ensure leveraging data to optimize internal business processes and create new business opportunities. That applies to traditional incumbents and digital natives alike. The former must ensure to stay competitive and avoid losing touch with the changing market, for example, by using data from physical assets (e.g., machines) to offer new digital services. The latter can leverage the green-field advantage and generate completely novel solutions from scratch, such as establishing data ecosystems that enable different actors (e.g., public institutions, companies, and academia) to share data for reciprocal benefit. With this comes a set of challenges. For example, unlike physical assets, data are reproducible at almost zero marginal cost and technical effort.

This minitrack focuses on exploring the fundamentals of data ecosystems from multiple perspectives, including studies that discover the meaning of data sharing in ecosystems for its stakeholders (e.g., data producers, providers, or consumers) or the classification of ecosystems. We expect contributions examining issues relating to the business value of data ecosystems within different domains (e.g., mobility, healthcare, manufacturing, logistics) and the use of various underpinning technologies (e.g., artificial intelligence or blockchain). Complementarily, we invite contributions exploring data sharing as well as the associated rules and governance mechanisms. Lastly, we like to encourage submission tackling socially relevant challenges by means of data ecosystems, such as sustainability (17 Sustainable Development Goals), security, and privacy.

This minitrack invites papers investigating the field of data ecosystems both empirically and theoretically, such as but not limited to:

• Classifications of data ecosystems and data sharing mechanisms
• Paradigmatic differences between data ecosystems and traditional business networks
• Analysis of domain-specific characteristics of data ecosystems
• Analysis of technology-specific characteristics of data ecosystems
• Design and modeling of data ecosystems
• Business models in data ecosystems
• Impact of data ecosystems on stakeholders
• Data sharing fundamentals
• Data sovereignty and usage control policies in data ecosystems
• Economic, ecological, and social sustainability of data ecosystems

Minitrack Co-Chairs:

Gero Strobel (Primary Contact)
University of Duisburg-Essen
Gero.Strobel@paluno.uni-due.de

Frederik Möller
Technische Universität Braunschweig
frederik.moeller@tu-braunschweig.de

Thorsten Schoormann
University of Hildesheim
thorsten.schoormann@uni-hildesheim.de

Boris Otto
TU Dortmund University
Boris.Otto@isst.fraunhofer.de

Sustainability as defined in the triple-bottom line consists of economic, ecological, and social sustainability. However, digital innovation and transformation research focuses heavily on the economic sustainability of organizations while putting ecological and social perspectives on the sidelines. On the contrary, information systems research on ecologic sustainability, known as Green IS, has mostly focused on specific optimizations of emissions reduction using digital technology, while social sustainability has rarely been addressed explicitly. Similarly, in practice, companies have been slow to adopt environmentally and socially sustainable practices, often resorting to superficial efforts such as greenwashing and carbon offsetting, instead of integrating all three elements of sustainability into their core business logic.

Digital technologies provide the affordances to combine economic success with reduced ecological impact and increased social equity. Digital innovations provide ways to radically transform organizations and integrate economic, ecologic, and social sustainability by defining and building companies around a sustainable value proposition and value creation. Instead of undergoing several organizational transformations, we believe companies can profit from integrating these challenges in one transformation.

We seek research that addresses the necessary innovations and transformations on an individual, organizational, and ecosystem level to create economically, ecologically, and socialy sustainable economies. We seek integrative perspectives combining knowledge from digital innovation research, such as digital platforms, ecosystems, IT-enabled or data-driven business models, Green IS and sustainability research, and other related fields, such as economics and entrepreneurship, that provide novel insights into how we can shape a sustainable economy. Topics of interest include, but are not limited to:

• What are digital transformation paths for companies to become (more) sustainable?
• What are the capabilities and affordances necessary to combine digital and sustainable transformations?
• How can digital platforms increase the sustainability of organizations and ecosystems?
• How can digital platforms enable sustainable transformations in their ecosystem?
• How can data create sustainable value for companies and society?
• What are the social and environmental repercussions of digital technologies, such as artificial intelligence?
• How can digital technologies create social equity?

We are open to all methodological approaches such as case studies, surveys, experiments, conceptual papers, and design science research.

Minitrack Co-Chairs:

Timo Phillip Böttcher (Primary contact)
Technical University of Munich
Timo.boettcher@tum.de

Andreas Hein
Technical University of Munich
Andreas.hein@tum.de

Maximilian Schreieck
University of Innsbruck
Maximilian.Schreieck@uibk.ac.at

Helmut Krcmar
Technical University of Munich
Helmut.krcmar@tum.de

Advancements in Internet technologies and algorithms are quickly driving the next wave of the industrial revolution. Over the past few years, artificial intelligence (AI) and machine learning (ML) techniques coupled with the advent of big data have achieved breakthrough performances in a wide range of activities including online user modeling, software writing, disease diagnosis, fraud detection, autonomous driving, speech and facial recognition, spam and malware filtering, and chatbots.

Companies across various industries are eager to find ways and leverage such technologies to transform core business processes, create business value, and achieve strategic advantages. As more and more AI and ML tools and algorithms are being available and easily accessible, how they are used/misused have profound implications to the business and society. A successful implementation of AI requires not only technical awareness but also business awareness and ethical considerations. The performance of AI and ML relies critically on the data and the context it observes and learns. It is important that the transparency and fairness of algorithmic models and decisions are preserved. Additionally, as such algorithms are being deployed across various economic activities, it is equally important to understand their societal impacts. What happens to jobs, skills, wages, and labor market when algorithmic systems are adopted by businesses to perform a given task traditionally done by humans? What are the implications to process design and business models when ML and AI algorithms help make personalized recommendations? What challenges and risks do AI systems bring to decision making, society, and humankind? We believe these questions merit serious and rigorous studies in the coming decades.

This minitrack invites submissions of original work concerning business value, implications, and impacts associated with the development and applications of AI and ML technologies and algorithms. While work using ML algorithms are highly encouraged, they must have an important component investigating the impacts and implications of such algorithms. We also welcome submissions of research-in-progress as well as those that are practically oriented yet have the potential to make significant contributions to the broad business community. The relevant topics for the minitrack include, but are not limited to, the following areas:

• User behavior/response/reaction to algorithm fairness, bias, aversion
• Economic and societal impacts/implications of AI and ML algorithms
• Digital platform/market design and algorithms
• Algorithms economy such as buying, selling algorithms
• Human-algorithm interaction
• Algorithm management and organization strategy
• Explainability, interpretability, and accountability of AI and ML
• Theory-guided AI and ML algorithm development and evaluation
• AL and ML applications in fintech, operations, cybersecurity, healthcare, accounting

High quality and relevant papers from this minitrack will be selected for fast-tracked development towards Information Technology and Management. Selected papers will need to expand in content and length in line with the requirements for standard research articles published in the journal. Although the minitrack co-chairs are committed to guiding the selected papers towards final publication, further reviews may be needed before a final publication decision can be made.

Minitrack Co-Chairs:

Zhongju John Zhang (Primary Contact)
Arizona State University
Zhongju.Zhang@asu.edu

Yong Ge
University of Arizona
yongge@arizona.edu

This minitrack aims to provide a forum for open and vibrant discussion of emergent research from any part(s) of the world emphasizing addressing a) big ideas that have the potential to positively, and substantially move/change markets, organizations, or other relevant stakeholders/systems; or b) deeper dives into established theories, or domains with meaningful and sufficiently distinct research explorations that can enhance understanding, and enliven new opportunities for improved experience, engagement, exchange, strategies, practices, and wellbeing.

We invite submissions from academics, practitioners, policy makers, and independent thinkers. We welcome submissions that are theoretical, bibliometric, or empirical, i.e., experimental, field studies, case studies, models and modeling, ethnographic, netnographic, natural language processing (NPL), machine learning, or survey based. Each submission must reflect clarity, rigor, and novelty. The best submissions have the potential to spark stimulating discussion and encourage new research agendas. Bring your insights, your energy, and your desire to enrich the HICSS community and beyond!

Minitrack Co-Chairs:

Hope Jensen Schau (Primary Contact)
University of Arizona
hschau@arizona.edu

Melissa Akaka
University of Denver
Melissa.Akaka@du.edu

Esports research is a field with conflicting definitions and multiple perspectives. Despite the differences between approaches to esports, all emphasize its technological specificity and competitiveness. In the last decade, esports has ceased to be seen solely as entertainment for the youth and have become the fastest-growing area in sports and a stand-alone discipline in its own right. This view is supported by the increase in the number of events organized, their popularity among millions of viewers, and the growing number and professionalization of gamers. Traditional sports are still bigger than the biggest esports, often generating more revenue. However, esports is quickly catching up, given the growing number of broadcasted games, tournament prize pools, and increasing advertising potential of esports games. Despite the increasing popularity of esports, the research is still in its nascency. After an initial descriptive stage of research on esports, the focus is now shifting from explaining what esports is to a more nuanced understanding of many different aspects of the phenomenon.

This minitrack aims to provide insight into esports’ theoretical development and practical understanding without excluding any methodological approach or scientific disciplines. Conceptual, theoretical, empirical, and methodological contributions that enrich our understanding of esports are welcome. Given the diverse goals of this minitrack, possible topics include, but are not limited to:

• Business, e.g., discovering esports consumers’ motivations; designing effective marketing tools; understanding players’/esports’ networks and organizations; gamers/fans as consumers.
• Cognitive Science/Psychology, e.g., studying factors influencing athletes’ performance; their abilities and skills; cognitive and behavioral differences between athletes.
• IT and Computer Science, e.g., using game telemetry, biometrics, user-generated data, or text mining to study esports, e.g., team dynamics, interactions of players; i -game performance.
• Law, e.g., copyright issues, gambling.
• Sociology and cultural studies, e.g., gamers’ and athletes’ interactions and identities; live events and streaming dynamics; gender issues (gender gap).
• Media Studies, e.g., relations between esports, traditional sports, and the media; offline spaces versus live-streaming, understanding esports in terms of virtual versus real; how technology mediates gaming, and how esports’ communities fit here.
• Sports Science, e.g., comparing esports and ‘traditional’ sports; esports as ‘real’, ‘genuine’ sports or new quality; athletes’ careers.

Accepted papers will be considered for publication in a special issue of the Journal of Electronic Gaming and Esports (JEGE).

Minitrack Co-Chairs:

Piotr Siuda (Primary Contact)
Kazimierz Wielki University in Bydgoszcz
piotr.siuda@ukw.edu.pl

Maciej Behnke
Adam Mickiewicz University
macbeh@amu.edu.pl

David Hedlund
St. John’s University
hedlundd@stjohns.edu

The last years provided numerous federated platform ecosystems and included the development of a plethora of data-driven artifacts for manufacturing, logistics, or energy management. Using novel technologies and approaches could lower the entry barriers for industrial companies to participate in the federated platform economy and spur digitization. For example, open-source technologies (e.g., Apache Kafka, Eclipse Vorto) and data-driven artifacts (e.g., smart services, distributed ledger technologies, or digital twins) help monitor, analyze, and optimize productional and logistical operations. Furthermore, these tools provide an excellent level of transparency and foster trust. Yet, much research needs to be conducted on implementing and operating federated ecosystems based on platform technologies. Furthermore, the concepts directly affect the technical architectures and the underlying business models.

A particular emphasis of this minitrack is the inclusion of novel technologies, such as distributed ledger technologies or digital twins, to facilitate digital business models or applications and foster the growth of sustainable and prosperous federated platform ecosystems. This minitrack aims to research innovative progress in digitization regarding industrial environments like production or supply chain systems. The first focus is on innovative approaches, such as open-source development as a strategic tool to conceptualize platform ecosystems and data-driven artifacts. The second focus emphasizes innovative business models to enable their development and instantiation. This includes papers on empirical studies from industrial contexts and theoretical works, which further enhance the overall canon of research. Additionally, reviews are welcomed under the condition that they provide novel insights.

The challenges of federated platform ecosystems and their data-driven artifacts include questions about the underlying concepts and architectures, data sharing and interoperability, data analysis and system optimization processes, data sovereignty, and data governance. Hence, this minitrack searches for papers that tackle these challenges and provide novel and innovative insights on open federated platform ecosystems and data-driven artifacts in industrial contexts: Consequently, topics of interest include, but are not limited to:

• Smart service systems and federated platform concepts in industrial operations
• Business models for federated platform ecosystems and data-driven artifacts
• The strategic use of open source in industrial operations (e.g., concepts and business models)
• The role of data trustees and data sovereignty in digital ecosystems
• Resiliency in production and supply networks
• Data acquisition, preparation, and storage techniques
• Design principles & procedure models for the industrial usage
• Realizations of synchronization between the real world and digital world
• Smart data models (harmonization of data for portability for different applications)
• Integration of connecting secure data spaces using standardized infrastructure (e.g., IDSA or Gaia-X)
• The assessment, integration, and use of novel technologies (e.g., digital twins, blockchain) in industrial platform ecosystems

Minitrack Co-Chairs:

Hendrik van der Valk (Primary Contact)
TU Dortmund University
Hendrik.van-der-Valk@tu-dortmund.de

Estelle Duparc
TU Dortmund University
Estelle.Duparc@tu-dortmund.de

Nick Große
TU Dortmund University
Nick.Grosse@tu-dortmund.de

Tan Gürpinar
Fraunhofer Institute for Material Flow and Logistics
Tan.Guerpinar@iml.fraunhofer.de

FinTech continues to disrupt and reshape the financial services industry. The simultaneous emergence of a variety of technologies including cloud computing, big data analytics, machine learning, blockchain, and AI have accelerated this change. The need to build FinTech-related competencies among practitioners and researchers is apparent. Given the importance and the challenges of FinTech, this minitrack provides a platform for original studies on the topic. The following is a partial list of suggested topics:

• Disruption by FinTech on traditional financial services in global markets
• Emerging technologies in corporate finance and investment management
• Machine learning and artificial intelligence applications in finance
• Use of big data in finance
• Financial analytics in novel areas such as climate finance and ESG
• Blockchain technology, smart contracts, and digital currencies
• Alternative lending technologies and business models
• Crowd funding models and technologies
• Regulatory issues and challenges in FinTech

Minitrack Co-Chairs:

Jahyun Goo (Primary Contact)
Florida Atlantic
University jgoo@fau.edu

C. Derrick Huang
Florida Atlantic University
dhuang@fau.edu

Ravi Behara
Florida Atlantic University
rbehara@fau.edu

Chul Woo Yoo
Florida Atlantic University
yooc@fau.edu

Digitalization has heavily disrupted how the hospitality and tourism industry delivers and markets its services, how work processes are organized, and how offerings are consumed. By adopting, adapting, or developing Information Systems (IS), hospitality and tourism organizations and their use of technology continually undergo a substantial transformation, often referred to as “digital transformation”. The transformation challenges the structure and format of the industry through disruptive business models, emerging platforms, and technology use by consumers continuously. As a result, information systems, business models, and business processes are continually analyzed, rethought, and changed. At the same time, there remains considerable resistance to digitalization in many areas of tourism and hospitality that often stifles change efforts.

As we have moved into a post-pandemic phase, the hospitality and tourism industry is facing a new era where the conditions for the hospitality and tourism industry are reshaped through new realities like labor shortages, new work models (digital nomadism, work-from-home), inflation, political uncertainties, new leisure and travel patterns, and increasing tourismphobia among local residents. In addition, the growing awareness of sustainability and climate change are adding new demands and challenges for the industry. Thus, there is a need to develop practical and conceptual knowledge on the role of digital transformation in meeting these challenges and developing an industry that is resilient and sustainable.

For this minitrack, we seek to attract research contributions that extend existing research by focusing on socio-technical, organizational, managerial and/ or individual challenges of digital disruption and digital transformation in the hospitality and tourism industry. We welcome conceptual, empirical, and design- oriented contributions on macro, meso and micro levels of analysis for this minitrack. Potential topics include:

• Digital business strategy
• Digital business model development
• Big data analysis for strategic decision making
• Platform economy
• Smart tourism development
• Quality management and reputation management strategies
• Social media and online reviews
• Digital change management for the future of the tourism and hospitality industry
• Strategic digital innovation for the tourism and hospitality industry
• Digital communication and guest decision making
• Role of technology in regenerative tourism
• Digital innovations to make tourism more sustainable and climate friendly
• Responsible technology for tourism and hospitality
• Metaverse tourism
• Automation in tourism and hospitality, from innovation, marketing and service delivery to service recovery
• Digital transformation and organizational resilience in tourism and hospitality
• Technology-free tourism
• Crisis recovery and digitalization in tourism and hospitality
• Other related topics

Minitrack Co-Chairs:

Karin Högberg (Primary Contact)
University West
Karin.hogberg@hv.se

Elin Wihlborg
University of Linköping and University West
elin.wihlborg@liu.se

Ulrike Gretzel
University of Southern California
gretzel@usc.edu

Selected papers will be invited for a fast-track in Electronic Markets – The International Journal on Networked Business. A Special Issue on “Applied Human-centricity in a Sustainable Digital Economy” at Electronic Markets is planned.

Minitrack Co-Chairs:

Soheil Human (Primary Contact)
Vienna University of Economics and Business
soheil.humann@wu.ac.at

Gustaf Neumann
Vienna University of Economics and Business
gustaf.neumann@wu.ac.at

Rainer Alt
Leipzig University
rainer.alt@uni-leipzig.de

As the Internet continues to transform the way we work, learn, and play, the design of user interfaces remains of critical importance. The aim of this mini-track is to provide a forum for HCI researchers to discuss a broad range of issues related to the design of user interfaces. Appropriate papers for the HCI mini-track may draw on a wide spectrum of research methodologies including, but not limited to, behavioral methods (e.g., case study, experimentation, survey, action research), neurophysiological tools (e.g., fMRI, eye tracking, skin conductance response, and input devices such as the computer mouse, touch screen and typing dynamics), and design science approaches. Accordingly, papers may draw on various reference disciplines to inform design, such as computer science, information systems, consumer behavior, behavioral economics, psychology, organizational sciences, and neuroscience. Moreover, papers that help to bridge academic research and industry practice are welcome. Given the diverse goals of this mini-track, there are many appropriate topics; possible topics include, but are not limited to:

• Analysis, design, development, evaluation, and use of information systems
• Guidelines and standards for interface design
• Design of online choice architectures
• Web-based user interface design and evaluation
• Design and evaluation issues for mobile devices and m-Commerce
• Interface design for FinTech applications
• Interface design for group and other collaborative environments
• Design issues related to the elderly, the young, and special needs populations
• Interface issues in the design and development of innovative interaction technologies
• Novel forms of authentication and authorization (e.g., using mousing or typing dynamics)
• Using information and sensors to detect user states (e.g., emotion, cognitive conflict) and create more intelligent interfaces
• The impact of interfaces on attitudes, emotion, perception, behavior, productivity, and performance
• Impact of digital nudges on online judgment and decision making
• Impact of behavioral economics principles and website design implementation on privacy and trust
• Website designs/elements that encourage rational thinking and/or nudge users into certain behaviors
• Implications and consequences of technological change on individuals, groups, society, and socio-technical units
• Behavioral, neurophysiological, and design aspects of human-computer interaction
• Neuroscientific approaches to human-computer interaction
• Factors influencing usability (i.e., friction reduction), ease-of-use and the overall user experience
• Information systems usability engineering
• Issues related to teaching HCI courses
• Ethical issues related to the capture of Personally Identifiable Information (PII), behavioral biometric data, and nudging

There are opportunities for best papers of this minitrack to be fast-tracked to AIS Transactions on Human-Computer Interaction.

Minitrack Co-Chairs:

Christoph Schneider (Primary Contact)
IESE Business School
cschneider@iese.edu

Joe Valacich
University of Arizona
valacich@arizona.edu

Jeffrey Jenkins
Brigham Young University
jeffrey_jenkins@byu.edu

This minitrack provides a venue for innovative research that rigorously addresses the risks to information system security and privacy, with a specific focus on individual behaviors within this nomological net. Domains include work related to detecting, mitigating, and preventing both internal and external human threats to organizational security. Papers may include theory development, empirical studies (both quantitative and qualitative), case studies, and other high-quality research manuscripts. Topics include, but are not limited to:

• Creative investigations of actual user security behavior, both positive and negative
• Detecting and mitigating insider threats
• Security policy compliance research – motivations, antecedents, levers of influence
• Analysis of known and unknown modes and vectors of internal and external attack
• SETA (security education, training, and awareness) programs
• Modeling of security and privacy behavioral phenomena and relationships
• Merging methodological topics related to addressing research strategies in IS security
• Translational science perspectives and strategies for IS security research
• Theory development, theory building, and theory testing in information security
• Neurosecurity (NeuroIS) investigations of information security behavior
• Explorations of emerging issues related to the security of the “Internet of Things” (ioT)

This mintrack will provide IS/IT researchers a collaborative forum to share their research approaches. We hope to attract the skills and insights of scholars from a wide set of disciplines, presenting a mix of theoretical and applied papers on threats and mitigation. Areas of research may include the following.

1) Research related to insider threats to information security and privacy represent the first and most important thread for the minitrack. Insider threats include activities ranging from non-malicious and non-volitional behaviors (accidents and oversights) to volitional, but not malicious, actions to malicious actions such as theft, fraud, blackmail, sabotage, and embezzlement.

2) External vectors of attack by individuals and organizations outside the security perimeter represent the second thread for this minitrack. Specific topics of interest include hacker behaviors, cyber-warfare, identity theft (and electronic deception), and cyber-espionage, including most offensive and defensive methods of prevention, detection, and remediation. Other external parties are motivated to use IT to damage or steal trade secrets, national security information, sensitive account information, or other valuable assets.

3) A third thread revolves around security policy compliance, both at the individual and organizational level of analysis. Compliance is not merely a binary concept – it is a continuum. Individuals may minimally comply with formal security and privacy policies and procedures, or they may exhibit extra-role or stewardship behaviors that go above and beyond official compliance. Similarly, individuals may carelessly violate organizational security policies and procedures without malicious intent or they may attempt to cause maximum damage or loss.

4) Modeling and theory building in the context of IS security and privacy represents yet another interesting area. Theoretical development in information systems security and privacy research is immature relative to other areas of study in the information systems discipline. This sub-discipline of information systems continues to suffer from a limited theoretical base, restricting our collective ability to properly interpret reality, to apply appropriate methodological approaches, and to substantiate conclusions. Adaptation of theories from applied social psychology and criminology are particularly fertile areas for expanding our knowledge base in this domain. Theories from the disciplines of management, education, and others may also inform our understanding of the phenomena of interest

5) Finally, we have a particular interest in emerging, rigorous research methods for investigating these phenomena. Organizational-level research can be improved, but studies conducted at the individual level, in particular, can benefit from new experimental designs and new data collection methods. Examples include neurophysiological (NeuroIS) methods such as EEG or fMRI, the factorial survey method, and simulations.

Important: Each coauthor of a paper submitted to our minitrack is obligated to review at least one other paper for the mini-track. Failure of any one coauthor to review for the minitrack may result in the rejection of the coauthor’s paper from the minitrack.

Minitrack Co-Chairs:

Merrill Warkentin (Primary Contact)
Mississippi State University
m.warkentin@msstate.edu

Allen Johnston
University of Alabama
ajohnston@cba.ua.edu

Anthony Vance
Virginia Tech
Anthony@Vance.name

Karen Renaud
Strathclyde University
karen.renaud@strath.ac.uk

The use of online social networks (OSN) is rapidly changing our e-commerce society from transaction- based to relationship-based. Global lockdowns, caused by COVID-19, has accelerated our dependence on digital shopping and online social networks to support this shopping. Global social commerce sales is expected to reach $1.2 trillion by 2025. OSN are increasingly being used to obtain information, opinions, recommendations, and comparisons and to view discussions to make digital shopping decisions. Often consumers are faced with purchase dilemmas and there are many questions in one’s mind that could potentially affect the outcome of the purchase decision.

With the ubiquity of recommender and comparison systems in digital social commerce engines and multi-sided platforms like Amazon, Alibaba, eBuy, Buy.com, and Facebook, more studies are appearing with regard to online information search fueling the purchasing power of shoppers. Online social media such as blogs, wikis, forums, and social networks are significantly impacting the shopping behaviours in all demographics.

How shopping decisions are taken with the support of OSN and how these networks influence purchase behavior has not been explored sufficiently in research. Although the usage of OSN is growing rapidly, there is a poor understanding of how OSN can provide support and influence purchase decisions in general.

The objective of this minitrack is to obtain insights and develop theoretical and practical understanding on topics and issues related to the influence of OSN on consumption orientated shopping decisions. We welcome conceptual, theoretical, and empirical papers that enrich our understanding of OSN and its design and how they support, influence and manipulate shopping decisions. All methodological approaches are welcome. Topics of interest in the context of social shopping include but are not limited to:

• Shopping Decision Making and Decision Support
• Social experiences and engagement
• Co-creation of value on multisided platforms
• Shopping in the Metaverse
• Physical, Electronic, Mobile, Social and Metaverse Commerce Models
• Group shopping sites, communities and marketplaces
• Influence, persuasion, and peer pressure
• Market manipulation and incentives
• Advertising, marketing and recommender systems
• Shopping gamification and shopping games
• Consumerism, compulsive and addictive shopping
• Fraud, deception, governance, risk, compliance, security and privacy
• Gen-X, Y, Z, millennial shopping
• Age, gender, and demographics
• OSN post purchase cognitive dissonance
• Processes, systems, tools and technologies to support social commerce

Minitrack Co-Chairs:

Gabrielle Peko (Primary Contact)
University of Auckland
g.peko@auckland.ac.nz

Valeria Sadovykh
University of Auckland
valeriasadovykh@gmail.com

David Sundaram
University of Auckland
d.sundaram@auckland.ac.nz

Ghazwan Hassna
Hawaii Pacific University
ghassna@hpu.edu

The aim of this minitrack is to offer a global perspective of how Information and Communication Technologies (ICTs) are being diffused, used and adopted within society including households, small enterprises, government and social communities. ICTs include diverse technologies like broadband internet, mobile devices, online social networks, sharing platforms, Internet-of-Things (IoT), Artificial Intelligence (AI), Big Data Analytics, cryptocurrency, blockchain, cloud services, and other internet-enabled platforms. ICT adoption, usage and diffusion studies are prevalent in Information Systems (IS) research and offer useful insights into many issues surrounding ‘how’, ‘when’ and ‘what’ technologies are being introduced and their impacts.

By undertaking such research academics, industry and government agencies can learn from each other how ICTs are being used by various groups and communities in society and what measures are being undertaken to have households and the various social communities adopt and use the ICTs with a further consideration of the impacts of the ICTs. Case studies, experiments, literature reviews, empirical, comparative and applied studies related to ICT use, adoption, impacts and diffusion are emerging on a daily basis. Therefore, topics and research areas included in this minitrack are, but are not limited to:

• The adoption, use, impact and diffusion of ICTs including broadband internet, mobile smart devices, wearables, online social networks, and other technologies by households, organizations, communities, or society
• The impact of the Covid-19 pandemic on the adoption, use, diffusion and impact of Information and Communication Technologies (ICTs)
• The adoption, use, impact and diffusion of any classic or innovative ICTs including electronic commerce initiatives, social technologies, cloud services, AI, blockchain, cryptocurrency, virtual reality, augmented reality or IoT within large enterprises, small-and-medium sized enterprises (SMEs), communities, and society
• The adoption, use, impact and diffusion of ICTs that enable organizations and government to enhance their environmental and social impacts
• Evaluation of the technological and non-technological aspects of the adoption, use impacts and diffusion of ICTs within society and organizations
• Application of theories to explore, describe, explain and predict the adoption, use, impacts and diffusion of ICTs within society and organizations
• Human Computer Interaction issues associated with the adoption, use, and impact factors in the context of ICTs
• Economics of the adoption, use or diffusion of ICTs in society and in households
• Working practices and their association with adoption, use and diffusion within organizations
• Resistance to change related to ICT adoption, use and diffusion within society and organizations
  Policies related to adoption, use and diffusion of broadband and emerging ICTs
• Conceptual or empirical studies of how a particular ICT is adopted, used and diffused in developing countries or within a specific community
• Comparative studies of ICT adoption, use, impact and diffusion between demographic groups, countries or regions
• Studies of the digital divide that include disadvantaged groups such as disabled and lower income families

Minitrack Co-Chairs:

Jyoti Choudrie (Primary Contact)
University of Hertfordshire
j.choudrie@herts.ac.uk

Sherah Kurnia
University of Melbourne
sherahk@unimelb.edu.au

David Sundaram
University of Auckland
d.sundaram@auckland.ac.nz

Today, the economic environment is changing rapidly. Supply chains have to cope with increasingly dynamic customer demands, a broad variety of external disturbances, resource scarcity and climate change. More flexibility and agility are needed, processes have to be accelerated and made visible in order to enhance supply chain responsiveness and resilience, the linear supply chains of today have to be transformed into closed-loop systems to make the circular economy real. Innovative technological solutions such as the IoT, Cyber-Physical Systems, autonomous or collaborative robots, automated guided vehicles and drones, cloud and mobile computing, data analytics and machine learning, artificial intelligence, data lakes, digital platforms and blockchains as well as the virtualization of the physical world based on digital twins and additive manufacturing can help to master these challenges and are increasingly being used. The implementation of these technologies has led to significant changes in supply chain management and may result in a fundamental digital transformation of companies, supply chains and industry structures, and inter-organizational relationships. Data has to be understood as a new source of value creation.

The technologies mentioned above in combination with data-driven services pave the way for a paradigm shift in supply chain management, leading to more self-organizing, self-optimizing and highly sustainable ecosystems. In this minitrack we try to understand how digital transformation affects traditional product-oriented supply chains as well as the corresponding management activities and thus leads to the digital supply chains of tomorrow. Digitalization in general is expected to play an increasingly important role for global supply chains. The reasons for this include: the shift in values from the physical artefact to the data created by smart products, the emerging importance of digital platforms, services and business ecosystems, the displacement of industry borders, the radical change of competitive structures and power distribution, the transformation of business models and, at the end of the day, the symptomatic destruction of established structures and behavior patterns.

This minitrack provides an outlet for all research focused on digital transformation of supply chains. Its focus is not primarily on pure technologies but on their applications and implications with regard to the dominant logic of supply chain configurations and value creation in a supply chain management context. We are also interested in the driving forces for a digital transformation and the instruments and tools to master the changes or to measure the progress. Therefore, we welcome research in progress or completed research papers that address applications, use cases, theories, models, methods, tools as well as other critical issues, including but not limited to:

• Drivers of digital transformation of supply chains
• Supply chain structures for smart products and smart services
• Visibility and transparency through the Internet of Things (IoT)
• Digital twins for supply chain and business ecosystems
• Improved planning and forecasting through big data analytics and predictive analytics
• Decision-making based on artificial intelligence
• Virtualization of supply chain structures
• Robots, cobots and other technology drivers for process automation in supply chains
• Robotic Process Automation (RPA)
• Role of digital platforms in supply chain structures
• Role of service providers (logistics, IT, communication etc.) in future supply chain structures
• Contribution of blockchain technologies to SCM
• The impact of 3D printing on value creation systems
• Changes in the understanding of the terms Supply Chain, SCM, Ecosystem
• Models, methods and tools for the digitalization of companies and supply chains
• Barriers and challenges for the digitalization of supply chains
• Legal frameworks for the digitalization of supply chains
• Relationship between data security and digitalization of supply chains
• Requirements for the digitalization of supply chains in the extended enterprise
• Relationship management and governance in digital enabled supply chains
• Contributions of digitalization to “green” sustainable supply chains and Circular Economy
• Emerging technologies’ applications in last-mile deliveries
• Human factors in the digital transformation of supply chains

Minitrack Co-Chairs:

Alexander Pflaum (Primary Contact)
Otto-Friedrich University Bamberg
alexander.pflaum@uni-bamberg.de

Günter Prockl
Copenhagen Business School
gp.digi@cbs.dk

Freimut Bodendorf
University of Erlangen-Nürnberg
freimut.bodendorf@fau.de

Haozhe Chen
Iowa State University
hzchen@iastate.edu

The “metaverse” exemplifies an emerging multi-dimensional Internet of not just things but places too. For this minitrack, we invite research papers that explore social, technological, legal, managerial, and organizational perspectives of emerging types of “Internets”, including:

• The Internet of Places enabled by advancements in virtual and augmented reality, telecommunications bandwidth, artificial intelligence, and other technologies, upon which new social and commercial ecosystems are rapidly developing.
• The Internet of Things as a concept that allow industrial and everyday physical objects to be connected to the “traditional” Internet, so that these are able to identify themselves to other devices and engage in seamless and automatic data exchange.
• The Internet of People emerging with the increase of embedded and wearable technologies (fitness trackers, fashion pieces, embedded medical devices, etc.), which extend people’s roles from being mere users and observers of the Internet to becoming part of the Internet. Other examples of the IoP include the use of face recognition, or other biometric data used to identify and authenticate a person in everyday scenarios.
• The Internet of Everything (IoE) materializes when Internets of places, people, and things converge, bringing together a new, networked world of ever-expanding data streams.

In this minitrack, we invite authors to submit new empirical and theoretical submissions that address issues related to the emerging IoE in a variety of contexts, including but not necessarily limited to the following themes:

• Emerging trends regarding the intersections and potential convergences of elements of the IoE
• Analysis of the successes, failures, winners, and losers in IoE convergences
• Technologies, applications, legality, security and organizational issues related to IoE
• Big data interpretation (e.g., biometrics, text analysis, smart technology data streams, and predictive sensing)
• Big data management (e.g., storing, accessing, analyzing, and reacting to IoE data)
• Opportunities and challenges related to consumer behavior (e.g., privacy concerns, behavioral modifications) with respect to wearable and embedded technologies
• Key issues for innovators, developers, IT firms, and technology vendors
• New business models designed to monetize innovations

Minitrack Co-Chairs:

Jan Kietzmann (Primary Contact)
University of Victoria
jkietzma@uvic.ca

Jeremy de Beer
University of Ottawa
jdebeer@uottawa.ca

Hope Jensen Schau
University of Arizona
hschau@email.arizona.edu

The Metaverse has captured the public’s attention and is beginning to disrupt a wide range of societal and economic structures. Primarily, the Metaverse enables massive social connections in a virtual space, which affords novel organizational mechanisms, information sharing with elaborate rules, new opportunities to monetize creative work, and untold perceived future benefits for those who invest the time and effort to integrate these into their business and personal lives.

The Metaverse is rapidly changing traditional societal and economic dynamics in exciting ways that will expand the use of technology and broaden participation in many domains of human interaction. Smart Contracts, and Non-Fungible Tokens (“NFT’s”), for example, reduce barriers to participation in valuable sectors of the economy through portable digital assets supported by blockchain technology. Artists and musicians are using Smart Contracts and NFT’s to monetize their work. Individuals who may have never owned land are purchasing virtual space in the Metaverse. In these and many other ways, individuals are enriching their lives and benefiting society through broader participation in the economy. However, there is a dark side: the novelty of Metaverse presents challenges. Many who engage in this virtual economy and broader life are naïve regarding the assets that they represent and creating investment bubbles that will cause harm. Also, this new digital economy and technologies allow criminal networks to flourish and offer unique opportunities to collect and launder illicit real-world currency.

Societal norms and legal frameworks develop slowly, but the changes brought by the Metaverse and associated new technologies, such as Smart Contracts and NFTs, are manifesting themselves almost instantaneously. The distributed ledger system that supports Metaverse facilitates almost frictionless commerce, but its distributed and anonymous nature has also created a nursery for crime. NFT’s for instance, offer a low-cost means to realize value from creative works, but are the basis for potentially harmful speculation. The markets in which all of these assets are traded are global and open at all hours; this makes for efficiency but also leads to overwork and mental strain. Looming over all these issues is the matter of trust, as individuals evaluate the vulnerability of money and private information on a distributed ledger. Research is needed to generate new theory to explain the societal and economic ramifications of the Metaverse and its emerging technologies. As well as the refresh of existing theories about the societal and economic structures that these technologies are disrupting.

In the new age of the Metaverse, Smart Contracts, and NFT’s, social scientists must develop and update their understanding of how individuals interact with societal and economic structures. Individuals, organizations, and governments need guidance to maximize the benefits of a new digital economy, where users create, buy, and sell virtual products and services, while minimizing potential harm. This minitrack is intended to initiate research into the societal and economic impacts of the emergence of the Metaverse and its enabling technologies. Topics include, but are not limited to:

• The Metaverse Economy
• Virtual Real Estate and Metaverse Property
• Virtual Investment Bubbles and Their History (e.g., Second Life)
• Virtual Community Inclusivity Issues and Opportunities
• Harassment, Bullying, and Abuse in the Metaverse
• NFT’s, Metaverse, and Money Laundering
• Fraud and Deception with NFT’s
• Social and Legal Implications of Blockchain Forks
• Realizing Value from NFT’s
• Name/Image/Likeness NFT’s
• Smart Contracts and Royalty Agreements
• Decentralized Autonomous Organizations (DAO’s)
• NFT Games and Immersive Technologies
• Corporate Metaverses
• Trust in Technology and NFT’s
• Health Records Control with Smart Contracts

Minitrack Co-Chairs:

Kevin Craig (Primary Contact)
Auburn University
kac0117@auburn.edu

Valeria Sadovykh
University of Auckland
valeriasadovykh@gmail.com

David Sundaram
University of Auckland
d.sundaram@auckland.ac.nz

Gabrielle Peko
University of Auckland
g.peko@auckland.ac.nz

Over the last decades, we have witnessed a remarkable societal transformation driven by innovation and entrepreneurship with digital technologies to create novel products, services, and business models. This transformation fueled the so-called ‘Web 2.0 platform economy’, featuring a host of powerful platform companies benefitting from network effects and centralized data collection at a mass scale. Increasingly the hegemony of the Web2 platform economy is being challenged by digital innovation in newly emerging Web3 ecosystems and networks.

The goal of this minitrack is to examine the antecedents, processes, contingencies, and outcomes of digital innovation and transformation in the context of the emergence of Web3. The minitrack offers a venue for original and innovative research that explores how Web3 technologies and ecosystems impact and alter digital innovation logics and institutional arrangements through transformative processes.

The minitrack solicits three types of submissions: (1) properties of emerging Web3 technologies and how they shape emerging networks, markets, ecosystems, organizations, and institutions; (2) the generation and appropriation of novel innovations facilitated by Web3 technologies; (3) digital transformation driven by Web3 innovation, including fundamental changes in institutional arrangements, organizational structures, and technological architectures among other foci. Next, we will describe each of these types of submissions with examples of each.

1) Web3 Technologies: Web3 broadly refers to a set of decentralized technologies using blockchain, decentralized storage, and self-sovereign identity. It exhibits novel properties that enable trustless data exchange, the encapsulation and encoding of value, the peer-to-peer transfer and exchange of value across jurisdictions, and novel organizational arrangements for creating and capturing value, among other things. Submissions in this category investigate the unique properties of emerging Web3 technologies and how they shape emerging networks, markets, ecosystems, organizations, and institutions. Topics can include:

• Web3 technology characteristics (e.g., decentralization, immutability, trustlessness, token- based, smart contracts, interoperability, open-source)
• Decentralized governance and self-governing capabilities of Web3 technologies
• Decentralized data storage and computation
• Decentralized identities and agents
• Decentralized verifiable data exchange and presentation standards
• DIDComm-based data architectures and governance models
• Decentralized AI models, frameworks, and architectures
• Token economics
• The role of tokens for governance and exchange
• Scalability of public and private blockchains
• Privacy and security issues and solutions in Web3 ecosystems
• Socio-technical processes of tokenization, smart contract development, and Web3 design
• Societal impact of Web3 technologies in institutional contexts
• Interoperability of distributed ledger technologies in different industries
• Blockchain systems for enterprises, governments, movements, and other organizations

2) Web3-based Digital Innovation: As organizations transition from the traditional value-chains or centralized Web 2.0 platform economy to the decentralized world of Web3 ecosystems, they need to transform their modus operandi in ways that leverage innovations that build on Web3 technologies. Submissions in this category investigate change processes that necessarily follow from attempts to induce and enable organizational change by using Web3 innovations. Topics include:

• Web3 digital product/service architectures
• Designing personalized digital services using Web3
• Integration of Web3 with IoT, Metaverse, and AI to design digital products or services
• B2B models using trusted data framework
• The emergence of new forms of organizing
• Decentralized Autonomous Organizations (DAOs)
• Decentralized self-sovereign data assets
• Network effects with Web3 ecosystems
• Organizing for innovation in Web3 ecosystems and networks
• Token-based business models
• Smart contract solutions
• Tokenized social networks

3) Web3-based Digital Transformation: As organizations transition from the traditional value-chains or centralized Web 2.0 platform economy to the decentralized world of Web3 ecosystems, they need to transform their modus operandi in ways that leverage innovations that build on Web3 technologies. Submissions in this category investigate change processes that necessarily follow from attempts to induce and enable organizational change by using Web3 innovations. Topics include:

• Decentralized data dashboards and analytics
• Integration of decentralized architecture with centralized enterprise systems
• Design of Web3 decentralized digital ecosystems
• Growth and evolution of Web3 decentralized digital ecosystems
• Economic and legal implications of Web3 decentralized digital ecosystems
• Value creation and value capture in Web3 decentralized digital ecosystems
• The transformation of platform governance
• The creation of novel business models and strategies in Web3 ecosystems
• Design, structure, evolution, and economics of Web3 decentralized digital platform ecosystems
• Decentralized credit systems
• Societal and legal implications of innovation with Web3 technologies
• Cultural, technical, cognitive and institutional barriers and enables in adopting Web3 ecosystems

The types of studies that we welcome in the minitrack include an explicit focus on a particular form or function of Web3 in the context of its properties, innovation, or transformation. We welcome all forms of research inquiry, including qualitative, quantitative, mixed, and conceptual papers.

Minitrack Co-Chairs:

Robert Gregory (Primary Contact)
University of Miami
rwgregory@miami.edu

Ola Henfridsson
University of Miami
ohenfridsson@miami.edu

Youngjin Yoo
Case Western Reserve University
yxy23@case.edu