UKAIS 2024 Annual Conference

2024 UKAIS Conference Theme: Responsible Digital

Conference organisers: Efpraxia Zamani, Spyros Angelopoulos, Laurence Brooks, Yu-Chun Pan

Venue: University of Kent

The UKAIS is pleased to announce that the best papers will be invited for possible publication with the International Journal of Information Management (IJIM) and the International Journal of Business Science & Applied Management (IJBSAM)

subject to a fast-track review process and to a special issue at the Information Systems Frontiers journal, through a regular review process.

Important Dates:

Conference 25-26 April 2024

NEW Conference Submission deadline: 30 October 2023

Doctoral Consortium 24 April 2024

Doctoral Submission deadline: 30 October 2023

Digital technologies and numerous digital transformation (DT) endeavours have become pervasive. IS and ICTs can have positive impacts for the way we work and live. Artificial Intelligence (AI), for instance, demonstrates great potential for supporting medical personnel during the diagnosis of certain health conditions such as cancer (Bulten et al., 2022), and Alzheimer’s Disease (e.g., Heising & Angelopoulos, 2022). Distributed ledger technologies, such as Blockchain, can increase accountability, and enhance visibility and trust perceptions in the context of humanitarian supply chains (Baharmand et al., 2021). However, not every individual, organisation or region is able to take advantage of such advancements. The reasons for this may range from the lack of digital skills and capacity to digital poverty and infrastructural barriers (Zamani & Vannini, 2022). For example, all too often small businesses are unable to tap into the required talent that would help them take advantage of DT endeavours (Zamani et al., 2022). In addition, infrastructure vital to support these digital technologies needs to be present, for example, broadband connections are not always available, particularly in remote and rural areas (Wagg & Simeonova, 2021). Further to the above, every IS and ICTs can have unintended consequences and lead to negative implications (Lyytinen et al., 2021). There are countries, for example, that use AI-enabled systems to assess asylum applications on the basis of the applicant’s facial characteristics and dialect; while one can argue that such IS and ICTs can provide the desired level of accuracy in decision-making and shorten processing times, they can also lead to unlawful discrimination and biases, and reinforce stereotypes (Beduschi, 2021).

The above draw attention to the responsibility we as researchers, educators, and practitioners have in terms of the IS/ICTs we design and use. Indeed, there are recent calls for examining what responsibility might mean for the broader IS research and practice, whereby digital responsibility is termed as a construct that can help us think about tensions and conflicts in the context of digital technologies more broadly (Recker et al., 2023). There are also conceptual frameworks that encourage responsibility in IS practices and outputs (e.g., Fraaije & Flipse, 2020; Ulnicane et al., 2022), as well as the UK Research & Innovation AREA framework[1] (Leonard & Tochia, 2022). While such frameworks have been developed within different contexts and for different purposes, they all seem to agree that digital responsibility entails thinking about who the IS/ICTs users might be, and what benefits they might receive within the context of considering potential unintended consequences and exclusions throughout the entire lifecycle of IS/ICTs, i.e., from the ideation phase, all the way to their deployment and market launch.

We invite full papers (completed research) and developmental papers (research in progress).

Full papers of 5000-7000 words should document established results and will be presented according to the highest academic standards. Allocation of a 20-minute presentation time, followed by a Q&A. Selected papers will be uploaded to the AIS eLibrary.
Developmental papers of 1500-2000 words should document research in progress and will be presented according to the highest academic standards. Allocation of a 20-minute presentation time, followed by a Q&A. UKAIS actively encourages submissions from early career researchers. The purpose of the developmental is to enable researchers to discuss their work whilst it is in an early stage, so comments and feedback obtained at the event can be incorporated in the final stages of research and writing up.

Submission Guidelines:

Authors may submit their paper to one and only one of the Conference Tracks
An author can be author or co-author of up to 3 submissions. If any author submits more than 3, the Programme Committee will consider only the first 3 submissions and the rest will be desk rejected without review.
Track chairs are not allowed to submit to their track. However, they can submit to other tracks or the General Track
All papers will need to be submitted via the conference submission system (to be released soon)
Submissions will need to follow the appropriate paper template
The submission system will open on [To be announced]
Any submissions that do not conform to the above will be desk rejected.
Submissions should be made in English.
We accept only original submissions: the same or very similar submissions should not have been published or be under consideration by other outlets at the time of submission.
Submissions that violate any of the above-listed guidelines will be removed from the review process.
For initial submissions, author names MUST NOT appear in the paper and care should be taken so as not to reveal the author identities in the body of the paper. After the final paper acceptance, authors will be asked to add their names and any acknowledgement declarations for the camera-ready version.

TRACK DESCRIPTIONS

Our broad goal for the UKAIS 2024 conference is to attract submissions that articulate such challenges theoretically and study them empirically, while making a strong contribution to the theory (Struijk et al., 2022) and practice (Davison, 2023) of the IS field. In doing so, the tracks of the UKAIS 2024 conference welcome submissions that explore responsibility in the digital world and more specifically in terms of the following tracks:

Track 00: General Track (chairs: Ilias Pappas, Patrick Mikalef., Dinara Davlembayeva)

Authors are encouraged to submit their work to the General Track if they feel that their paper does not easily fit the thematic areas of the rest of the tracks.

Track 01: Big Data and Analytics (chairs: Shuyang Li, Jun Zhang)

Embracing the digital age, the conference track “Big Data & Analytics” focuses on the pivotal role data plays in driving smart technologies and innovations. This track goes beyond the surface to explore the core reasons behind the dynamics and changes reshaping our technological landscape.

The development of robust data infrastructures has become central, aiming to orchestrate a technology ecosystem that can manage heterogenous data sources. The track places emphasis on the impacts of data analytics and the requisite competencies that demonstrate the transformative potential of big data and analytics for this evolving digital society. These impacts and competencies play an important role in shaping and re-shaping business practices and user behaviours.

Whilst the pro-data narrative is welcomed, the emerging concept of ‘critical analytics’ also draws attention to the power dynamics embedded within the digital sphere, advocating for their reassessment and critical praxis. The track foregrounds urgent considerations such as responsible AI, ethical big data utilisation, slow computing and de-acceleration, and the growing necessity for an equilibrium between technology and its human stakeholders. We actively encourage contributions that challenge extant paradigms and foster a milieu conducive to constructive discourse.

Finally, our track invites submissions from all epistemological, ideological, and methodological standpoints. Be it conceptual papers, literature reviews or empirical studies, we encourage a comprehensive examination of Big Data and analytics. This approach is intended to enhance our mutual understanding of these critical concepts and their societal implications. Therefore, we welcome submissions to focus on, but not limited to, the following topics:

Transformative capacity and potential in data analytics
Challenges and opportunities of data analytics for business
Power relations embedded in the use of data analytics
Responsible data-driven practices and ethics
Critical praxis and reflections on data analytics
Integration, standardisation and policies around heterogeneous data sources

Track 02: Education (Teaching and Learning) Track (chairs: Maria Kutar, Eleni Tzouramani)

The Education track covers all aspects of IS and education. IS are embedded throughout education, influencing pedagogies and creating opportunities for innovation in teaching practice. Furthermore, digital technologies both within and beyond the classroom are changing the ways in which students, educators and learning support teams such as librarians, communicate and interact in the learning environment. The Education track provides the opportunity to explore conceptual ideas, share practice and present empirical findings which address IS and digital technologies across teaching practice, pedagogies, or the education environment.

Papers in the Education Track may present research and applications of teaching and learning practices, teaching innovation practices, teaching cases or other aspects related to IS curriculum. Teaching cases should follow the format provided at https://www.ukais.org/teaching-and-learning/award-for-is-teaching-cases/ and other paper submissions may follow a standard paper format.

Topics of Interest include but are not limited to:

Creative uses of technology to support teaching and learning
Approaches and pedagogies to drive student interest and success
Teaching and learning research projects
Innovative use of teaching techniques in the classroom
Developments in IS curricula
Teaching Cases for IS curriculum

Track 03: Health IT and IS for Healthcare (chairs: Yuanyuan Lai, Stefanie Gante)

The latest advancements in the field of medical technologies offer a wide range of opportunities to disburden healthcare systems globally and improve healthcare provision. The lack of adoption and diffusion of such technologies, however, hinders such outcomes. The areas in which Health IT and IS for Healthcare can positively impact outcomes are multifaceted, triggering a need for further research that sheds light on the opportunities and challenges that emerge. In an effort to help navigate the successful and sustainable development, adoption as well as use of Health IT and IS for Healthcare, we seek high-quality papers that aid in the knowledge generation on this timely topic. We welcome empirical as well as conceptual work with a clear IS component that addresses true challenges in the health IS sector. Papers may entail any appropriately chosen methodological approach, including qualitative, quantitative, and mixed-methods.

Potential topics for this track include, but are not limited to:

The Integration of HealthTech Solutions into (Clinical) Pathways
Big Data and Analytics in Healthcare
Data Privatisation vs Data Democratisation in Healthcare
Personal Health Management and Smart Technologies
Decision Support Systems for Clinical Settings
IT Architecture and Application in Healthcare Environments
Human-Algorithm Interaction in Healthcare Settings
HIS and Health Policy – From Development to Diffusion
Patient Empowerment in a New Medical Age
The Dark Side of IS in Healthcare
Opportunities and Challenges for the Global South
Precision Medicine
Health Analytics and IS Theorising

Track 04: Metaverse and Web 3.0 for business and communication operations (chairs: Maddy Hunt, Abigail Kallista Green)

The Metaverse currently is in its infancy with no owner, governance policies, or a unified definition of what such a space is and will become. While it remains more a of concept than a reality, it is timely to discuss what the Metaverse will become and how this will arise as its development will likely transform overtime, in a similar way that occurred with the Internet and the Web. The Metaverse has been discussed as a space which can facilitate healthcare, gaming, retail, commercial, education, and many more activities of the social realm, however we are still a long way from enabling such activities to take place in an interoperable virtual world and, consequently, the true use and value of Web3.0 is far from being understood. Concurrently, we consider crucial to reflect on the many challenges, implications as well as the unintended consequences stemming out of the use of Web3.0 and its applications for organisations and the society at large. We seek for submissions discussing design, research, and practice of the Metaverse and wider Web3.0 applications. In doing so, we welcome conceptual and empirical papers with a focus on the Metaverse and wider Web3.0 that make a clear contribution to the literature of Information Systems. We welcome any methodological stance (qualitative, quantitative, and mixed methods) and we particular welcome contrarian as well as critical views. Below we list an indicative list of topics:

Business models in the Metaverse and Web3.0
Relevant technologies and use cases
Privacy, security, and ethical considerations
Trust and user development
Value creation and capture
Governance
Digital communication
User behaviour

Track 05: Online communities and networks (chairs: Joyce Lee, Peiyu Pai)

Beyond the hype of social media, online communities (OCs) have become networks of various stakeholders who seek and foster new approaches for social innovation, such as enhancing social inclusion, and promoting good health and well-being. It is expected that, if an OC embraces social impact at its core, it can create and accelerate its value in ways that greatly benefit the participants’ lives. However, such value creation and acceleration are not easy to promote in OCs. Many of them fail to retain membership, and some are even forced or, unknowingly, fall into unintended consequences. This track seeks to attract research papers that explore, extend, and/or challenge existing knowledge of OCs and networks, and thus identify novel theoretical insights and develop effective practical guidelines. Conceptual, theoretical, methodological, and empirical papers that help to enrich our understanding of OCs and networks are welcome.

Potential topics include (but are not limited to):

OCs and networks in creating individual and societal values (e.g., good health or healthcare, education equality, and financial inclusion)
Unintended consequences of OCs and networks (e.g., online bullying, cyberfraud, discrimination, and technostress)
Structure, governance, and sequence of value creation through OC development and transformation
Value co-creation and/or value co-destruction in OCs and networks
Opportunities and/or challenges of OCs and networks for social innovation
Online and offline social networking
OCs and network data analytics

Track 06: Responsible AI & Ethics (chairs: Xenia Vassilakopoulou, Arisa Shollo)

This track is concerned with Responsible AI providing scholars an opportunity to grapple with one of

the greatest challenges of our time: harnessing the power AI while minimising its risks. Responsible

AI is the practice of developing, using and governing AI-enabled systems in a human-centred way

ensuring that they are worthy of being trusted and adhere to fundamental human values. These

ethical challenges of AI span across different organizational and societal contexts.

We call for papers that embrace a sociotechnical understanding of AI. Studies should engage both

with technical aspects as well as organizational, business and societal ones. We are interested in

studies that explore how AI-enabled systems and their underlying data and algorithms are entangled

with business models, work processes and institutional forces and how they can be shaped,

monitored and controlled. We welcome both conceptual and empirical research utilizing quantitative, qualitative, or mixed methods. We also encourage papers with critical views that lead to new insights. Authors should demonstrate how their work builds upon and contributes to extant Information Systems Research.

Topics of interest include, but are not limited to:

Frameworks for Responsible AI.
Accountability and governance of AI systems.
Bias and fairness in AI-enabled systems and decision-making.
Transparency and explainability in AI systems.
Trust and trustworthiness in AI.
Privacy and data protection in AI-enabled environments.
Consequences of AI on individuals and communities.
Human-AI collaboration and augmentation in organizational settings.
Values and value-related tensions in AI
Responsible AI in healthcare, finance, education, and other domains.

Track 07: Equality, Diversity, and Inclusion (EDI) in Information Systems (IS): a Dialogue between multiple approaches and Initiatives (chairs: Sara Vannini, Andrea Jimenez)

In recent years, the field of Information Systems (IS) has witnessed a growing interest in the exploration of Equality, Diversity, and Inclusion (EDI)-related topics in both research (Gorbacheva et al., 2019) and teaching (Bates et al., 2020; Naiseh et al., 2022). Scholarship and educational practices have offered reflections on both the importance of diversity and inclusivity in the design, development, implementation, and use of information systems (Pee et al., 2021), as well as on the institutional and interpersonal barriers that have historically excluded social groups from creating and benefitting from them – and that are still perpetrating a still exclusive status quo (Zamani & Vannini, 2022).

Scholars and educators are approaching this issue from various angles and viewpoints: some focus on social inclusion, looking at ways to ensure equal opportunities, mitigate exclusionary practices, and design to accommodate diverse user groups (Bentley et al., 2019; Choudrie et al., 2021; Rega & Vannini, 2018); others adopt a more critical stance, emphasising the need for broader structural changes to achieve equity and justice, by challenging power dynamics, dismantling systemic biases, and addressing underlying inequities in both the technological infrastructure and the socio-organisational context (Jimenez et al., 2023; Khene & Masiero, 2022; Vannini et al., 2020).

This track seeks to provide a platform for stimulating dialogue and fostering collaboration among diverse approaches to and perspectives on EDI in IS. We aim to create a space to engage in a meaningful exchange of ideas, share experiences, and identify common grounds to the field to collectively advance our understanding of EDI within the IS discipline. Therefore, we invite submissions that explore EDI in IS through different theoretical, methodological, and practical lenses.

Topics of interest include, but are not limited to:

Inclusivity and diversity strategies and their effectiveness in IS practices.
Case studies highlighting successful EDI initiatives in IS implementation.
Critical perspectives on EDI in IS, addressing issues of power, privilege, and structural inequalities.
Critical perspectives on EDI and innovation in IS.
Intersectionality and its relevance to IS practices and policies.
EDI (and further) implications for data practices and policies.
Ethical considerations in the development and deployment of inclusive IS.
Ethical impact of IS practices and their implications on inclusivity.
Pedagogical practices and curriculum development in IS education to foster EDI awareness and inclusivity in educational practices and contexts.

We particularly encourage interdisciplinary approaches that bridge the gap between IS and social sciences, ethics, education, and organisational studies.

Track 08: Digital Work (chairs: Emma Gritt, Emma Forsgren)

The nature of work and organising is changing as digital technology becomes more entangled in organisational life. For example, new digital-human reconfigurations, automation, the use of social media and digital platforms and the role of AI in the workplace. This is reshaping the meaning of work and has potential to create new work practices, job roles and management styles. Likewise, this has implications for employee connectedness, engagement, and identity. The Covid-19 pandemic, as well as societal and technological trends, accelerated these changes where digital work became an essential element of organisations. The new digital workplace is becoming more fluid and dynamic enabling new forms of communication, collaboration, and flexible work arrangements beyond traditional boundaries. This creates new and exciting opportunities at the individual, organisational and societal level to improve the landscape of work.

However, these ways of working also raise concerns and critical challenges (e.g., ethics, the use of personal data, employee surveillance, work-life balance, and technostress) which need to be further explored. As researchers of IS and related areas, it is our responsibility to engage in questions that examine what makes work, life, and society better, but likewise study what does not, and in doing so, reveal the harmful effects. By engaging in constructive debates on new ways of working within the IS community, this will contribute to co-creating a responsible future of digital work.

We welcome submissions from any theoretical and methodological perspective on addressing digital work. Topics of interest include, but are not limited to:

The implications of remote/hybrid work (e.g., trust, flexibility, work-life balance, mental health, and well-being)
The use of AI in shaping new work practices (e.g., automation, digital-human work configurations)
Mixed realities for work (e.g., Metaverse, augmented/virtual reality)
Responsible use of digital technology in the workplace
The role of social media/collaborative platforms in new ways of working (e.g., user behaviour, online collaboration, innovation, networking)
Control, panopticism and surveillance in the digital workplace
Digital leadership and virtual teams
Challenges of digital work (e.g., ethics, the use of personal data, information overload, technostress)
Self-organisation in distributed and autonomous work (e.g., freelancing, crowd work, project-based work)
Emerging and shifting skills, new work roles, and careers in the digital workplace

Track 09: Digital Marketing (chairs: Ana Isabel Canhoto, Yichuan Wang)

Digital technology enables organisations to interact with their customers through a variety

of channels (e.g., apps and voice assistants), using multiple content forms (e.g., video and

NFTs), and producing and array of data (e.g., user’s identity and product usage). These

present numerous opportunities for companies to learn about their customers and their

context, and to develop offers that are relevant, in ways that are convenient and add value

to those customers.

However, digital marketing is not without challenges. The proliferation of digital channels

requires businesses to constantly adapt within limited resources. The ever-evolving content

landscape, and in particular, the emergence of generative AI present questions in terms of

implicit bias, originality, and authorship. Finally, the materialisation of the promise of digital

datasets relies on very specific skills and analytical capabilities.

In this track, we welcome contributions from any epistemological and methodological

perspective, including conceptual papers, literature reviews, and empirical studies. Papers

may discuss any type of digital channel, content, or data. However, they need to explicitly

discuss its application to digital marketing, from either a consumer behaviour or marketing

management perspective. Topics include but are not limited to:

Challenges and opportunities of generative AI in marketing
Innovative uses of digital technology in marketing
Customer engagement in the digital era
Data-driven marketing approaches
Personalization and targeted advertising
Ethical considerations in digital marketing
Interactions between marketing and other organisational functions

Track 10: Digital innovation, transformation, and sustainability (chairs: Chekfoung Tan, Najmeh Hafezieh)

Technology has become an integral part of modern human life, impacting the way we live and work since the first industrial revolution. With the availability of both hardware and software components, technology is advancing at an unprecedented pace. Digital platforms, social media, data analytics, immersive technologies, artificial intelligence, internet of things are sources of digital innovation and transformation, continuously reshaping how we live and work. For instance, the launch of generative AI has already transformed businesses, such as Microsoft Copilot with its built-in generative AI machine that promises to increase productivity and efficiency in software development sector.

In an organisational context, digital transformation explores the potential of technology in redefining or enhancing current practices, such as business processes and models, leading to strategic advantages. Beyond organisational context, technology also has the potential to drive progress towards achieving the 17 UN sustainable development goals while promoting environmental, economic, social, and ethical goals.

Therefore, this track welcomes research on exploring various forms of digital innovations and their implementations, whether conceptually or practically. It also invites papers studying digital transformation, either conceptually or methodologically, to achieve business or sustainable goals.

Topics of interest include, but are not limited to:

Digital innovation
Disruptive technology
Digital transformation
Data-driven innovation
Digital business strategy
Digital platform and ecosystem
Automation and augmentation of work
Transformation for sustainability
Digitalisation and circular economy
Algorithmic economy and social inclusion

	Tracks	Chairs	Emails
0	General Track	Ilias Pappas Patrick Mikalef Dinara Davlembayeva	ilias.pappas@uia.no patrick.mikalef@ntnu.no davlembayevad@cardiff.ac.uk
1	Big Data and Analytics	Shuyang Li Jun Zhang	s.li.10@bham.ac.uk j.zhang3@sheffield.ac.uk
2	Education (Teaching and Learning) Track	Maria Kutar Eleni Tzouramani	M.Kutar@salford.ac.uk Eleni.Tzouramani@uws.ac.uk
3	Health IT and IS for Healthcare	Yuanyuan Lai Stefanie Gante	y.lai@qmul.ac.uk stefanie.h.gante@durham.ac.uk
4	Metaverse and Web3.0 for business and communication operations	Maddy Hunt Abigail Kallista Green	madaleine.h.hunt@durham.ac.uk mailto:ac5707@coventry.ac.uk
5	Online communities and networks	Joyce Lee Peiyu Pai	jlee@nccu.edu.tw p.pai@nccu.edu.tw
6	Responsible AI & Ethics	Xenia Vassilakopoulou Arisa Shollo	polyxenv@uia.no ash.digi@cbs.dk
7	Equality, Diversity and Inclusion in IS	Sara Vannini Andrea Jimenez	s.vannini@sheffield.ac.uk a.jimenez@sheffield.ac.uk
8	Digital Work	Emma Gritt Emma Forsgren	E.L.J.Dunkerley@leeds.ac.uk E.Forsgren@leeds.ac.uk
9	Digital Marketing	Ana Isabel Canhoto Yichuan Wang	A.I.Canhoto@sussex.ac.uk Yichuan.Wang@sheffield.ac.uk
10	Digital innovation, transformation and sustainability	Chekfoung Tan Najmeh Hafezieh	chekfoung.tan@ucl.ac.uk Najmeh.Hafezieh@rhul.ac.uk

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[1] https://www.ukri.org/about-us/epsrc/our-policies-and-standards/framework-for-responsible-innovation/