Detecting Privacy Threats with Machine Learning: A Design Framework for Identifying Side-Channel Risks of Illegitimate User Profiling

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Anwar, Raja Hasnain; Zou, Yi (Zoe); Raza, Muhammad Taqi

Abstract: Privacy leakage has become prevalent and severe with the increasing adoption of ... Expand

Abstract: Privacy leakage has become prevalent and severe with the increasing adoption of the internet of things (IoT), artificial intelligence (AI), and blockchain technologies. Such data-intensive systems are vulnerable to side-channel attacks in which hackers can extract sensitive information from a digital device without actively manipulating the target system. Nevertheless, there is a scarcity of IS research on how businesses can effectively detect and safeguard against side-channel attacks. This study adopts the design science paradigm and lays the groundwork for systematic inquiry into the assessment of privacy risks related to side-channels. In this paper, we a) highlight the privacy threats posed by side-channel attacks, b) propose a machine learning-driven design framework to identify side-channel privacy risks, and c) contribute to the literature on privacy analytics using machine learning techniques. We demonstrate a use case of the proposed framework with a text classification model that uses keystroke timings as side-channel. Collapse

Topics: privacy IT security data breach information system use

Methods: design framework machine learning design science time series analysis longitudinal research

Sensing the Future: A Design Framework for Context-Aware Predictive Systems

2023 | Journal of the Association for Information Systems | Citations: 0

Authors: Avital, Michel; Chatterjee, Samir; Furtak, Szymon

Abstract: Sensors embedded in smart objects, smart machines, and smart buildings produce ... Expand

Abstract: Sensors embedded in smart objects, smart machines, and smart buildings produce ever-growing streams of contextual data that convey information of interest about their operating environment. Although an increasing number of industries have embraced the utilization of sensors in routine operations, no clear framework is available to guide designers who aim to leverage contextual data collected from these sensors to develop predictive systems. In this paper, we applied design science research methodology to develop and evaluate a general framework that can help designers build predictive systems utilizing sensor data. Specifically, we developed a framework for designing context-aware predictive systems (CAPS). We then evaluated the framework through its application in MAN Diesel & Turbo, which served as a case company. The framework can be generalized into a class of demand-forecasting problems that rely on sensor-generated contextual data. The CAPS framework is unique and can help practitioners make better-informed decisions when designing context-aware predictive systems. Collapse

Topics: data quality evaluation criteria knowledge base systems design systems development

Methods: machine learning design science design artifact data transformation design process

Adopting Learning Analytics to Inform Postgraduate Curriculum Design: Recommendations and Research Agenda

2023 | Information Systems Frontiers | Citations: 0

Authors: Dennehy, Denis; Conboy, Kieran; Babu, Jaganath

Abstract: Understanding student sentiment plays a vital role in understanding the changes ... Expand

Abstract: Understanding student sentiment plays a vital role in understanding the changes that could or should be made in curriculum design at university. Learning Analytics (LA) has shown potential for improving student learning experiences and supporting teacher inquiry. Yet, there is limited research that reports on the adoption and actual use of LA to support teacher inquiry. This four-year longitudinal study captures sentiment of postgraduate students at a university in Ireland, by integrating LA with the steps of teacher inquiry. This study makes three important contributions to teaching and learning literature. First, it reports on the use of LA to support teacher inquiry over four one-year cycles of a Master of Science in Business Analytics programme between 2016 and 2020. Second, it provides evidence-based recommendations on how to optimise LA to support teacher inquiry, with specific attention as to how these can improve the assimilation of LA into the curriculum design and delivery. Third, the paper concludes with a research agenda to help improve the adoption and integration of LA in the future. Collapse

Topics: innovation management Tableau software analytical information system interactive data visualization Python

Methods: qualitative interview Cross-Industry Standard Process for Data Mining sentiment analysis case study design framework

Theories: assimilation theory of learning

Designing Digital Platforms: A Synthetization of Relevant Design Topics for Business Models from a Literature Review

2023 | HICSS | Citations: 0

Authors: Goertler, Thomas; Papert, Marcel; Schmidt, Malou

Abstract: Digital platforms (DPs) represent a challenging research object. In this context ... Expand

Abstract: Digital platforms (DPs) represent a challenging research object. In this context, scientific literature has produced a large number of publications studying DPs. Given the importance of designing DPs in both academia and practice, the purpose of this study is to synthesize the current research findings on DPs and provide a framework with possible design topics under consideration from a business model perspective. A systematic literature review (SLR) was conducted to identify and synthesize the relevant findings. We analyzed 22 publications published before May 2021. The analysis shows that, in terms of "Value Propositions", most design topics were identified. In contrast, only one design topic was identified for "Customer Relationships", "Customer Segments", and "Cost Structure". In sum, our results present a framework with design topics for DPs and support the alignment of further research. Practitioners receive an overview of design topics for DPs that encourage today`s digital transformation projects. Collapse

Topics: price management business model value creation database system information system use

Methods: synthesis literature study design framework structured literature research literature sample

Exploring the impact of online social participation on loneliness in older adults: Evidence from The Canadian Longitudinal Study on Aging

2023 | International Journal of Information Management | Citations: 0

Authors: Goodarzi, Soheil; Jiang, Jinglu; Head, Milena; Lu, Xuecong

Abstract: As individuals age, mental and physical impairment can emerge and impact their w ... Expand

Abstract: As individuals age, mental and physical impairment can emerge and impact their well-being. Previous research on social participation in older adults has typically focused on specific activities or failed to distinguish between different forms of participation. In contrast, we propose that social participation is a resource optimization process for older adults, where various forms of participation must be optimized in order to improve well-being outcomes. Drawing on Selective Optimization with Compensation theory, we develop hypotheses on how older adults with cognitive decline select and optimize their social participation profile and how multiple modes of participation synergistically affect their perceived loneliness. Using data from the Canadian Longitudinal Study on Aging (CLSA), we test a polynomial model and find that online social participation has a U-shaped effect on loneliness, while personal-oriented offline social participation mitigates this effect. We also find that the impact of social participation modes varies considerably between younger and older groups. Our findings suggest im­ plications for the design of integrative aging support programs and the use of ICT to promote mental well-being in different stages of advanced age. Collapse

Topics: social media electronic mail covid 19 information system use information technology addiction

Methods: descriptive statistic longitudinal research regression analysis method statistical hypothesis test survey

Design Principles for National Innovation Agencies in Social Market Economies

2023 | DESRIST | Citations: 0

Authors: Lehmann, David M.; Salenius, Viktor M.

Abstract: This paper reports on a design science research project that develops a design f ... Expand

Abstract: This paper reports on a design science research project that develops a design framework for national innovation agencies in line with the principles and values of the social market economy. The study conceptually examines the tension between the state’s interventions in the economic process to foster technology-based innovation and the social market economy’s pursuit of a privilege-free and competitive economic order. The chosen design science approach encompasses five steps: problem definition, diagnosis, solution design, evaluation, and learning. Based on the design requirements and case studies of four existing national innovation agencies, the study suggests twelve design principles for national innovation agencies. Drawing on feedback from leading German economists, the paper proposes general lessons for implementing innovation policies in social market economies, using the CIMO logic. This study contributes to the knowledge base on how to support technology-based innovation through national innovation agencies and provides practical implications for policymakers and innovation agency executives. Collapse

Topics: innovation management decision making technology diffusion knowledge base

Methods: design science design principle case study design framework qualitative interview

Management of National eID Infrastructure as a State-Critical Asset and Public-private Partnership: Learning from the Case of Estonia

2023 | Information Systems Frontiers | Citations: 0

Authors: Lips, Silvia; Tsap, Valentyna; Bharosa, Nitesh; Krimmer, Robert; Tammet, Tanel; Draheim, Dirk

Abstract: In the management of national electronic identity (eID) infrastructure, cooperat ... Expand

Abstract: In the management of national electronic identity (eID) infrastructure, cooperation between public and private parties becomes more and more important, as the mutual dependencies between the provision of e-services and the provision of the national public key infrastructure (PKI) continuously increases. Yet, it is not clear which key factors affect the public-private collaboration in the eID field, as existing studies do not provide insight into this particular matter. Therefore, we aim to identify the factors that affect public-private partnership (PPP) in the field of eID. We also describe feasible formats that help to improve the cooperation between the two sectors, based on insights from the case of Estonia. In service of that study, we conducted twelve qualitative interviews with high-level experts representing several parties from the public and the private sector. By conducting a thematic analysis of the interviews, we identified five key factors for successful PPP in the eID field, i.e., engagement, joint understanding, two-way communication, clear role division, and process orientation. Furthermore, we generalize our results by discussing, in how far the found cooperation formats can be used by stakeholders to manage state-critical information technology (IT) infrastructure components similar to eID such as mobile phone services, data transmission services and digital signature services. Collapse

Topics: government system critical success factor anonymity electronic authentication mobile phone

Methods: qualitative interview qualitative content analysis literature study design framework case study

A Self-Regulated Learning Approach to Educational Recommender Design

2023 | Americas Conference on Information Systems | Citations: 0

Authors: McNett, Alicia; Noteboom, Cherie

Abstract: The field of education has the potential to better facilitate student learning ... Expand

Abstract: The field of education has the potential to better facilitate student learning by employing educational recommenders that adapt the learning process to the needs of individual learners. While existing research has shown promise and explores a variety of types of educational recommenders, there is currently a lack of research that ties educational theory to the design of these systems. The theory considered here, selfregulated learning, focuses on putting students in control of their learning and is appropriate in situations where learning is autonomous. This research proposes a design science approach to investigate a theoretical base of self-regulated learning (SRL) for a knowledge-based recommender design framework. Existing research on knowledge-based recommender design with an inclusion of an ontology component will guide development of this artifact. Anticipated results include the formation of design principles to inform the creation of SRL guided recommenders for both practical applications and future research. Collapse

Topics: IS problem

Methods: survey computational algorithm design science machine learning design principle

Theories: theory of task technology fit information systems theory learning theory

A framework for applying ethics-by-design to decision support systems for emergency management

2023 | Information Systems Journal | Citations: 0

Authors: Nussbaumer, Alexander; Pope, Andrew; Neville, Karen

Abstract: The development and utilisation of new information and communication technologie ... Expand

Abstract: The development and utilisation of new information and communication technologies presents opportunities and risks, which bring ethical issues to the forefront. Any attempt to minimise the potential negative consequences to individuals, organisations and society resulting from the use of these technologies is challenging. In order to address these challenges, this paper presents an ethics-by-design approach that has been developed and implemented in the context of Decision Supports Systems for Emergency Management. Such systems help manage large and cross-border disasters by supporting decision makers to respond on emergencies in a reasonable way by taking follow-up actions into account. The approach taken in this paper specifically provides means to support the ethical dimensions of these decisions. Actions taken during disasters can have ramifications that persist long after a disaster has passed. The ethics-by-design approach presented here not only informs the design of systems, but also considers the role and training of the decision makers in the design process. The paper builds on the literature on ethics in information systems and makes a contribution to theory by providing a framework to ensure ethical considerations are embedded into the design of systems. Collapse

Topics: decision support system systems design decision making research and development privacy

Methods: focus group design process literature study design principle design framework

‘What Have We Learned from Market Design?’ Blockchain and The Conditions for a Well-Functioning Market

2023 | HICSS | Citations: 0

Authors: Park, Andrew; Tarry, Liam; Mccarthy, Ian; Heilgenberg, Kerstin

Abstract: Blockchain technologies, specifically those related to cryptocurrencies and non- ... Expand

Abstract: Blockchain technologies, specifically those related to cryptocurrencies and non-fungible tokens (NFTs), have recently garnered significant public interest. Blockchain has been lauded as potentially transformative across various industries, including decentralized finance, supply chain management, healthcare, file storage, and more. However, it has also been the source of much investor angst, evidenced by numerous media headlines reporting instances of fraud and catastrophic asset losses. In this paper, we examine whether the current incarnations of blockchain technologies provide a well-functioning market to its participants. We apply Roth’s market design framework to evaluate whether blockchain marketplaces provide safety, thickness, low congestion, and low repugnance. We find that blockchain applications in their current state do not represent a well-functioning market. We conclude by suggesting additional research avenues and explore whether they can still provide value to organizations even in their suboptimal market state. Collapse

Topics: blockchain cryptocurrency social media

Methods: econometric modeling design framework