The social dilemma of big data: Donating personal data to promote social welfare

2023 | Information and Organization | Citations: 0

Authors: Hillebrand, Kirsten; Hornuf, Lars; Müller, Benjamin; Vrankar, Daniel

Abstract: When using digital devices and services, individuals provide their personal data ... Expand

Abstract: When using digital devices and services, individuals provide their personal data to organizations in exchange for gains in various domains of life. Organizations use these data to run technologies such as smart assistants, augmented reality, and robotics. Most often, these organizations seek to make a profit. Individuals can, however, also provide personal data to public databases that enable nonprofit organizations to promote social welfare if sufficient data are contributed. Reg­ ulators have therefore called for efficient ways to help the public collectively benefit from its own data. By implementing an online experiment among 1696 US citizens, we find that individuals would donate their data even when at risk of getting leaked. The willingness to provide personal data depends on the perceived risk level of a data leak but not on a realistic impact of the data on social welfare. Individuals are less willing to donate their data to the private industry than to academia or the government. Finally, individuals are not sensitive to whether the data are pro­ cessed by a human-supervised or a self-learning smart assistant. Collapse

Topics: database system economic surplus IS economics health information system data breach

Methods: archival research experiment nonparametric test Kruskal Wallis test computational algorithm

Theories: prospect theory privacy calculus theory

Multi-sided platforms in competitive B2B networks with varying governmental influence – a taxonomy of Port and Cargo Community System business models

2022 | Electronic Markets | Citations: 0

Authors: Tessmann, Ruben; Elbert, Ralf

Abstract: Our knowledge on differences in business model characteristics of thriving and f ... Expand

Abstract: Our knowledge on differences in business model characteristics of thriving and failing Multi-Sided Platforms in competitive B2B networks (B2B-MSP) and potential influences of increasing governmental involvement remains fragmented. This study develops a taxonomy to classify special B2B-MSP with varying governmental influence in the supply chain and transportation context, viz. Port and Cargo Community Systems (CS). Based on the classification of 44 international CS, we identify four archetypes using cluster analysis. The taxonomy provides practitioners with a differentiated view on the configuration options of CS business models including the involvement of governmental institutions, while the presented archetypes contribute an aggregated view of CS business models. The statistical analysis of our results provides initial explanatory approaches on CS business model dimension interdependencies, thereby laying the basis for a deeper understanding of sectoral and geographic differences of B2B-MSP and their diffusion dynamics as well as facilitating a higher contextualization of future research. Collapse

Topics: business model business-to-business data governance analytical information system digital business model

Methods: cluster analysis data imputation literature study hierarchical clustering decision tree classification

A MOBILE APP TO SUPPORT STUDENTS IN THE “TRANSITION-IN” PHASE

2021 | European Conference On Information Systems | Citations: 0

Authors: Johannsen, Florian; Knipp, Martin; Loy, Thomas; Voshaar, Johannes; Zimmermann, Jochen

Abstract: Inadequate student experience, inefficient learning strategies or a lack of sel ... Expand

Abstract: Inadequate student experience, inefficient learning strategies or a lack of self-organization often lead to students' premature dropout from higher education. With the increase in student numbers, student success is becoming a serious social issue. Most early terminations happen in the so-called "transitionin" phase of the student lifecycle, when students fail at developing a "student identity". To sustain student success, universities need to develop instruments with a focus on freshmen, reinforcing learning and fostering retention. We present a digital solution with the potential to enhance student experience, improve learning strategies and help with self-organization. Universities can thus better contribute to the goal of a successful academic education by using technology to help students adjust to a more diverse student body. This paper describes our research on the development of a mobile application, adapted to the particular needs of business and economics students in the "transition-in" phase at a German university. Collapse

Topics: mobile application usability gamification user requirement accounting

Methods: design artifact survey design requirement field study usability testing

Data-Driven Cycling Policy Guidance using GIS

2020 | International Conference on Information Systems | Citations: 0

Authors: Oberdorf, Felix; Stein, Nikolai; Flath, Christoph

Abstract: Sustainable mobility is a major societal challenge. Cycling is considered a part ... Expand

Abstract: Sustainable mobility is a major societal challenge. Cycling is considered a particularly attractive option for urban mobility. However, cycling does not capture significant shares of the modal split except for some select cities globally. We want to shed light on this cycling shortfall by means of a data-driven approach based on GIS data and highlight possibilities of cycling policy decision support through IS, also considering e-bikes. To this end, we first illustrate the value of geographic data for improving statistical estimates of modal splits. Subsequently, we present a data-driven framework for cycling policy guidance. We illustrate this approach by exploring the efficacy of varying cycling policies and determine to which extent cycling can benefit from certain policies. Thereby, we highlight that e-bikes could fill a gap in urban individual mobility and stakeholder’s decision support. Collapse

Topics: decision support application programming interface geographic information system decision quality

Methods: design artifact simulation design process descriptive statistic principal component analysis

Context-Aware Adaptation: A Case Study On Mathematical Notations

2009 | Information Systems Management | Citations: 0

Authors: Müller, Christine; Kohlhase, Michael

Abstract: In the last two decades, the World Wide Web has become the universal information ... Expand

Abstract: In the last two decades, the World Wide Web has become the universal information source. Search engines can efficiently serve daily information needs due to the enormous redundancy of relevant resources on the web. For educational and scientific information needs, the web functions much less efficiently: Scientific publishing is built on a culture of unique reference publications, and moreover, documents abound with specialized structures such as technical nomenclature, notational conventions, references, tables, or graphs. Many of these structures are peculiar to specialized communities determined by nationality, research group membership, or adherence to a special school of thought. To keep the much-lamented “digital divide” from becoming a “cultural divide,” we have to make online material more accessible and adaptable to individual users. In this paper, we attack this goal for the field of mathematics where knowledge is abstract, highly structured, and extraordinarily interlinked. Modern, content-based representation formats like OpenMath or content MathML allow us to capture, model, relate, and represent mathematical knowledge object, and thus, make them context-aware and machine-adaptable to the respective user contexts. Building on previous work, which can make mathematical notations adaptable, we employ user modeling techniques to make them adaptive to relieve the reader of configuration tasks. We present a comprehensive framework for adaptive notation management and evaluate it on the proof-of-concept prototype panta rhei. Collapse

Topics: knowledge representation extensible markup language outsourcing user behavior usability

Methods: ontological modelling computational algorithm design artifact conceptual modelling qualitative interview

Theories: learning theory

From the Special Issue Editor

2009 | Information Systems Management | Citations: 0

Authors: Pablos, Patricia Ordóñez de

Abstract: ... Expand

Abstract: Collapse

Topics: system integration organization learning ergonomics usability knowledge management

Methods: design science modeling language Systems Modeling Language ontological modelling case study