City 5.0: Citizen involvement in the design of future cities

2023 | Electronic Markets | Citations: 0

Authors: Becker, Jörg; Chasin, Friedrich; Rosemann, Michael; Beverungen, Daniel; Priefer, Jennifer; Brocke, Jan vom; Matzner, Martin; del Rio Ortega, Adela; Resinas, Manuel; Santoro, Flavia; Song, Minseok; Park, Kangah; Di Ciccio, Claudio

Abstract: A citizen-centric view is key to channeling technological affordances into the d ... Expand

Abstract: A citizen-centric view is key to channeling technological affordances into the development of future cities in which improvements are made with the quality of citizens’ life in mind. This paper proposes City 5.0 as a new citizen-centric design paradigm for future cities, in which cities can be seen as markets connecting service providers with citizens as consumers. City 5.0 is dedicated to eliminating restrictions that citizens face when utilizing city services. Our design paradigm focuses on smart consumption and extends the technology-centric concept of smart city with a stronger view on citizens’ roadblocks to service usage. Through a series of design workshops, we conceptualized the City 5.0 paradigm and formalized it in a semi-formal model. The applicability of the model is demonstrated using the case of a telemedical service offered by a Spanish public healthcare service provider. The usefulness of the model is validated by qualitative interviews with public organizations involved in the development of technology-based city solutions. Our contribution lies in the advancement of citizen-centric analysis and the development of city solutions for both academic and professional communities. Collapse

Topics: public good smart city innovation management database system business model

Methods: qualitative interview conceptual modelling entity relationship modeling personal interview design artifact

Empowering Users with Narratives: Examining the Efficacy of Narratives for Understanding Data-Oriented Conceptual Models

2023 | Information Systems Research | Citations: 0

Authors: Hvalshagen, Merete; Lukyanenko, Roman; Samuel, Binny M.

Abstract: With the ongoing digitalization of human society, regular employees (e.g., nonin ... Expand

Abstract: With the ongoing digitalization of human society, regular employees (e.g., noninformation technology experts) become increasingly autonomous and proactive in using organizational data and information technologies to facilitate data-driven actions and insights. This growing autonomy of regular employees (dubbed here, empowered users) in using information technologies creates new challenges. As most empowered users lack sophisticated information technology skills, they struggle to find and access relevant data, understand their meaning, and extract and adapt them to meet their needs. We propose a powerful way to support empowered users with a combination of conceptual models and narratives. A data narrative is a descriptive and textual representation of one or more aspects of data in a domain that is organized and presented as a connected sequence of sentences in a natural language. We assess the efficacy of narrative representations for conceptual modeling cardinality constraints, which are an essential part of understanding data. We conducted two laboratory experiments and found a positive and strong effect for narratives: cardinality constraints that were described in the narratives were better understood than constraints only represented in the model (i.e., script). This effect was robust across cardinalities, measures, script complexities, and familiarity levels with the conceptual modeling grammar. History: Manju Ahuja, Senior Editor; Choon-Ling Sia, Associate Editor. Supplemental Material: The online appendices are available at https://doi.org/10.1287/isre.2022.1141. Collapse

Topics: data management data literacy database system IT workforce analytical information system

Methods: conceptual modelling experiment entity relationship modeling design science parametric test

Theories: cognitive load theory

How to cross the bridge: Interoperability among blockchain systems

2023 | International Conference on Information Systems | Citations: 0

Authors: Iversen, Hampus; Schmidt, Tobias Ærboe; Pedersen, Asger; Beck, Roman

Abstract: Blockchain research tends to focus on technical improvements and their potentia ... Expand

Abstract: Blockchain research tends to focus on technical improvements and their potential for efficiency and productivity, repeatedly at the cost of comprehending the complex reciprocal interaction between social and technical aspects. One of the technical challenges for blockchain systems is scalability. Interoperability has proven effective in addressing scalability by offloading transactions via bridges, enhancing flexibility and portability for, e.g., tokens. As a result, we investigate how interoperability is organized in blockchain systems and what implications it might bring. In this research, we develop an on-ledger analytics prototype, which facilitates the examinations of NFT bridges and theorizes about the dimensions of interoperability. Practical implications reveal that hiding a token's track in an otherwise supposedly transparent system is possible. We provide evidence that current research may only consider a subset of a token's history among blockchain systems. Ultimately, we claim that interoperability among blockchain systems can lead to decreased transparency. Collapse

Topics: blockchain analytical information system database system digital dashboard data visualization

Methods: design artifact theory development design science entity relationship modeling exploratory data analysis

Big Data Guided Resources Businesses – Leveraging Location Analytics and Managing Geospatial-temporal Knowledge

2023 | HICSS | Citations: 0

Authors: Nimmagadda, Shastri; Ochan, Andrew; Reiners, Torsten; Mani, Neel

Abstract: Location data rapidly grow with fast-changing logistics and business rules. Due ... Expand

Abstract: Location data rapidly grow with fast-changing logistics and business rules. Due to fast-growing business ventures and their diverse operations locally and globally, location-based information systems are in demand in resource industries. Data sources in these industries are spatial-temporal, with petabytes in size. Managing volumes and various data in periodic and geographic dimensions using the existing modelling methods is challenging. The current relational database models have implementation challenges, including the interpretation of data views. Multidimensional models are articulated to integrate resource databases with spatial-temporal attribute dimensions. Location and periodic attribute dimensions are incorporated into various schemas to minimise ambiguity during database operations, ensuring resource data's uniqueness and monotonic characteristics. We develop an integrated framework compatible with the multidimensional repository and implement its metadata in resource industries. The resources’ metadata with spatial-temporal attributes enables business research analysts a scope for data views’ interpretation in new geospatial knowledge domains for financial decision support. Collapse

Topics: big data data warehouse database system

Methods: multidimensional modeling design science conceptual modelling data modeling entity relationship modeling

Breakdowns in Mediated Conversations: How and Why Youth Exit Cross-cutting Political Talk on Social Media

2022 | HICSS | Citations: 0

Authors: Lee, Ashley

Abstract: Social media platforms are arguably reshaping how youth participate in politics ... Expand

Abstract: Social media platforms are arguably reshaping how youth participate in politics today, but little is known about how youth navigate cross-cutting talk with different-minded others online. Based on in-depth interviews, this study examines the discursive strategies civic-minded youth employ to talk politics across lines of political difference on social media. Applying Hirschman (1970) to informal political talk, this study surfaces young people’s “voice” and “exit” strategies in cross-cutting political talk [1]. Findings suggest that civic youth are well-versed in elements of rational deliberative discourse [2]. However, youth appear to struggle when it comes to relational discourse that emphasizes reciprocity and relational listening [3]. Youth tended to exit from political talk with different-minded others on social media. The low barriers for exit from cross-cutting talk on social media, combined with various psychosocial, dispositional factors, raise concerns about young people’s premature exits from democratic engagement on social media. Collapse

Topics: social media filter bubble video conference climate change

Methods: qualitative interview personal interview survey qualitative coding qualitative content analysis

Modeling styles in conceptual data modeling: Reflecting observations in a series of multimodal studies

2022 | European Conference On Information Systems | Citations: 0

Authors: Rosenthal, Kristina; Wagner, Johannes; Strecker, Stefan

Abstract: A modeling style characterizes a modeler's sequencing of processing a modeling ... Expand

Abstract: A modeling style characterizes a modeler's sequencing of processing a modeling task in terms of applying the modeling language and its language concepts while constructing a conceptual model. Presently, surprisingly little is known about the different modeling styles modelers exhibit when performing conceptual data modeling. In this research, we combine complementary modes of observation including audio-visual protocols, recorded modeler-tool interactions, and pre-/postmodeling surveys of modelers to identify modeling styles in 24 data modeling processes performed by modelers at different stages of experience in data modeling. Our study identifies and characterizes three distinct modeling styles refining our current knowledge about data modeling processes and informing design science research on style-specific, targeted modeling (software tool) support for data modelers. Collapse

Topics: pandemic ergonomics usability

Methods: data modeling design science conceptual modelling survey modeling language

Theories: structured process modeling theory

Teaching NoSQL Data Models: A Tutorial

2021 | Americas Conference on Information Systems | Citations: 0

Authors: Greiner, Martina

Abstract: This tutorial discusses the four most popular categories of NoSQL databases: ke ... Expand

Abstract: This tutorial discusses the four most popular categories of NoSQL databases: key-value databases, document databases, graph databases, and wide column databases. For each NoSQL database type, we explain differences to traditional relational database management systems, how data is organized using Airbnb as an example, and benefits and drawbacks. Collapse

Topics: Airbnb nosql database database system relational database Cassandra

Methods: data modeling conceptual modelling design science entity relationship modeling

Playing (Government) Seriously: Design Principles for e-Government Simulation Game Platforms

2021 | International Conference on Business Informatics | Citations: 0

Authors: Halsbenning, Sebastian; Niemann, Marco; Distel, Bettina; Becker, Jörg

Abstract: The digital transformation of the public sector is progressing but regularly not ... Expand

Abstract: The digital transformation of the public sector is progressing but regularly not at the desired pace. Here, the digitalization skills of public officials are one important resource to cope with the demanding digital shift and rise of egovernment. As there is still a lack of those competences, alternative educational approaches are needed. Promising and flexible methods are simulation games—although not widely used in the public sector. As a resolve, we are developing on a corresponding simulation game platform for about two years. In addition to sharing the artifact, this manuscript shall provide a set of design principles helping to create and facilitate the adoption of related platforms for the public sector. Collapse

Topics: government system usability IT security threat open source pandemic

Methods: simulation design principle survey design artifact design science

PlanDigital: A Software Tool Supporting the Digital Transformation

2021 | DESRIST | Citations: 0

Authors: Hermann, Andreas; Gollhardt, Torsten; Cordes, Ann-Kristin; Kruse, Paul

Abstract: Due to the plethora of possible digital technologies, companies face difficultie ... Expand

Abstract: Due to the plethora of possible digital technologies, companies face difficulties in selecting appropriate technologies to innovate their business model. Therefore, we introduce PlanDigital: a software tool supporting the digital transformation. PlanDigital combines existing tools and concepts in an integrated manner to support the identification, evaluation, and selection of potential digitalization ideas. Thereby, the application helps practice and academia in managing digitalization ideas in the early phase of a company’s digital transformation. In the tool, the user models and organizes goals, the current business model, digitalization ideas, as well as digitalization roadmaps, which ultimately represent a company-specific digital transformation agenda. The paper accounts for the technological and visual design as well as the features of the tool. Collapse

Topics: web application database system open source Python business model

Methods: design artifact design principle group interview entity relationship modeling design science

Cognitive Diagram Understanding and Task Performance in Systems Analysis and Design

2021 | Management Information Systems Quarterly | Citations: 10

Authors: Malinova, Monika; Mendling, Jan

Abstract: Models play an important role in systems analysis and design (SAD). A diagrammat ... Expand

Abstract: Models play an important role in systems analysis and design (SAD). A diagrammatic model is defined as a mapping from a domain to a visual representation in such a way that relevant information is preserved to meet a specific goal. So far, cognitive research on diagram criteria in relation to task performance has been fragmented. The aim of this paper is to (1) consolidate research on the cognitive processing steps involved during understanding and task performance with diagrams, (2) consolidate corresponding criteria for such diagrams to best support cognitive processing, and (3) demonstrate the support effective diagrams provide for performing SAD tasks. Addressing the first aim, we develop a theoretical cognitive framework of task performance with diagrams called CogniDia. It integrates different cognitive theories from research on diagrams in software engineering and information systems. Regarding the second aim, we review the literature to organize criteria for effective cognitive processing of diagrams. We identify research gaps on verbal and task processing. Regarding the third aim, we use the theoretical cognitive framework to investigate how diagrams support the SAD process effectively. Collapse

Topics: task productivity sensemaking requirements elicitation systems design requirements analysis

Methods: modeling language design science business process modeling literature sample data modeling

Theories: cognitive theory cognitive fit theory cognitive load theory cognitive theory of multimedia learning dual-coding theory