Data Product Canvas: A Visual Inquiry Tool Supporting Data Product Design

2023 | DESRIST | Citations: 0

Authors: Hasan, M. Redwan; Legner, Christine

Abstract: Data products (DP) are considered a key enabler of data-driven innovation. Howev ... Expand

Abstract: Data products (DP) are considered a key enabler of data-driven innovation. However, suitable methodologies and tools supporting DP design are still scarce. The emerging body of practitioner literature mostly focuses on analytics-based products and their technical design and architecture but lacks a more comprehensive product perspective on data. To address this gap, we propose the Data Product Canvas (DPC) as a visual inquiry tool that supports cross-functional teams in understanding, designing, and analyzing DPs. The DPC was developed in an iterative design science process involving focus groups with 15 global companies and was demonstrated for selected DPs. Building on the core ideas of the Business Model Canvas, the DPC outlines the critical elements for designing DPs focusing on three key themes: desirability from the customer perspective, feasibility from the technical perspective, and viability from an economic perspective. The DPC instantiates the design principles for visual inquiry tools and comprises a conceptual model, shared visualization, and directions for use. The DPC is the first step toward a systematic approach and shared language in designing DPs in ways that technical experts and business users understand. Collapse

Topics: innovation management design thinking new product development data management ease of use

Methods: expert evaluation design principle focus group conceptual modelling design methodology

IT Project Portfolio Management Tools: Towards Taxonomy-based Archetypes

2023 | HICSS | Citations: 0

Authors: Karrenbauer, Christin; Bergmann, Florian; Breitner, Michael H.

Abstract: To achieve organizational goals and remain competitive, evaluating, selecting, a ... Expand

Abstract: To achieve organizational goals and remain competitive, evaluating, selecting, and managing IT projects and proposals to build a value-driven portfolio is a critical activity. IT project portfolio management (ITPPM) tools assist these portfolio-related activities, support strategic decision-makers, and help complete more IT projects successfully. Despite existing research on this topic, knowledge about the characteristics and design elements of ITPPM tools is still limited. We develop a taxonomy based on scientific literature and 60 real-word ITPPM tools with four perspectives, 20 dimensions, and 51 characteristics. Subsequently, we perform a cluster analysis and identify five ITPPM tool archetypes. Our results and findings contribute to the knowledge base and integrate scientific and practical knowledge to build the basis for further research on ITPPM tools. Further, we structure the ITPPM tool market, guide practitioners in selecting an appropriate ITPPM tool and support the development of new solutions or develop existing ones further. Collapse

Topics: project management knowledge base web page website database system

Methods: cluster analysis literature study qualitative interview theoretical contribution k-means clustering

Evaluation of metaverse integration alternatives of sharing economy in transportation using fuzzy Schweizer-Sklar based ordinal priority approach

2023 | Decision Support Systems | Citations: 0

Authors: Pamucar, Dragan; Deveci, Muhammet; Gokasar, Ilgin; Delen, Dursun; Köppen, Mario; Pedrycz, Witold

Abstract: Sharing economy transportation applications reduce car ownership and single-vehi ... Expand

Abstract: Sharing economy transportation applications reduce car ownership and single-vehicle occupancy, contributing to the region’s environmental sustainability. Metaverse is a promising new technology that combines sharing economy applications with transportation networks. By combining these two approaches, authorities can improve the sustainability of sharing economy applications. This study aims to assist decision-makers and au­ thorities by developing a multi-criterion decision-making (MCDM) model that prioritizes three sharing economybased metaverse integration alternatives, namely integrating safety measures, payment systems, and the opti­ mization of operations in the metaverse. A novel multi-criteria framework, including fuzzy Schweizer-Sklar norms based on the Ordinal Priority Approach (OPA) to assess the metaverse integration alternatives, is developed. To rank the alternatives, non-linear processing of information based on the fuzzy Schweizer-Sklar weight assessment method (SWAS) is proposed. A case study is developed to provide a foundation for the ex­ perts’ evaluations using twelve criteria, which are organized into four aspects namely, economic, user, opera­ tional, and advancement. Finally, the results indicate that the most favorable approach is optimized operations via the integration of the sharing economy into the metaverse. Collapse

Topics: virtual reality sharing platform decision making electronic payment fuzzy logic

Methods: computational algorithm descriptive statistic case study simulation expert evaluation

Theories: fuzzy set theory

A Taxonomy for Risk Assessment of Cyberattacks on Critical Infrastructure (TRACI)

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

Authors: Plachkinova, Miloslava; Vо, Ace

Abstract: Cybercrime against critical infrastructures such as nuclear reactors, power pla ... Expand

Abstract: Cybercrime against critical infrastructures such as nuclear reactors, power plants, and dams has been increasing in frequency and severity. Recent literature regarding these types of attacks has been extensive but due to the sensitive nature of this field, there is very little empirical data. We address these issues by integrating Routine Activity Theory and Rational Choice Theory, and we create a classification tool called TRACI (Taxonomy for Risk Assessment of Cyberattacks on Critical Infrastructure). We take a Design Science Research approach to develop, evaluate, and refine the proposed artifact. We use mixed methods to demonstrate that our taxonomy can successfully capture the characteristics of various cyberattacks against critical infrastructure. TRACI consists of three dimensions, and each dimension contains its own subdimensions. The first dimension comprises hacker motivation, which can be financial, socio-cultural, thrill-seeking, and/or economic. The second dimension represents the assets such as cyber, physical, and/or cyber-physical components. The third dimension is related to threats, vulnerabilities, and controls that are fundamental to establishing and maintaining an information security posture and overall cyber resilience. Our work is among the first to utilize criminological theories and Design Science to create an empirically validated artifact for improving critical infrastructure risk management. Collapse

Topics: IT security risk management usability data security strategic management

Methods: qualitative interview survey design science personal interview design artifact

Theories: rational choice theory activity theory information systems theory utility theory

Data-driven Culture: A Transformational Framework

2023 | International Conference on Information Systems | Citations: 0

Authors: Schlegel, Dennis; Wallner, Jonathan; Monauni, Max; Kraus, Patrick

Abstract: In the context of digital transformation, having a data-driven organizational c ... Expand

Abstract: In the context of digital transformation, having a data-driven organizational culture has been recognized as an important factor for data analytics capabilities, innovativeness and competitive advantage of firms. However, the current literature on data-driven culture (DDC) is fragmented, lacking both a synthesis of findings and a theoretical foundation. Therefore, the aim of this work has been to develop a comprehensive framework for understanding DDC and the mechanisms that can be used to embed such a culture in organizations as well as structuring prior dispersed findings on the topic. Based on the foundation of organizational culture theory, we employed a Design Science Research (DSR) approach using a systematic literature review and expert interviews to build and evaluate a transformation-oriented framework. This research contributes to knowledge by synthesizing previously dispersed knowledge in a holistic framework, as well as, by providing a conceptual framework to guide the transformation towards a DDC. Collapse

Topics: organizational culture organizational change database system innovation management organization structure

Methods: qualitative interview design science expert evaluation personal interview structured literature research

Theories: organizational theory organizational culture theory

Digital transformation solutions of entrepreneurial SMEs based on an information error-driven T-spherical fuzzy cloud algorithm

2023 | International Journal of Information Management | Citations: 0

Authors: Yang, Zaoli; Chang, Jinping; Huang, Lucheng; Mardani, Abbas

Abstract: The digital transformation of enterprises has become an inevitable development t ... Expand

Abstract: The digital transformation of enterprises has become an inevitable development trend and one of the key driving forces that promotes the sustainable development of enterprises. However, due to the many obstacles of financial burdens, technical thresholds, and talent shortages, digital transformation has become a challenging task for entrepreneurial Small and Medium-Sized Enterprises (SMEs). Additionally, many competitive digital trans­ formation solutions on the market cause confusion when enterprises must choose one. This study drew a new information error-driven T-spherical fuzzy cloud algorithm to evaluate digital transformation solutions of entrepreneurial SMEs and support its selection. First, an evaluation index system for the digital transformation solution of entrepreneurial SMEs was established from four aspects. Then, a new concept of a T-spherical fuzzy cloud was defined to represent the evaluation information of the indicators. Additionally, a T-spherical Fuzzy Cloud Weighted Heronian Mean (T-SFCWHM) operator was used to aggregate the evaluation information. Af­ terward, an evaluation and selection decision framework for the digital transformation solution of entrepre­ neurial SMEs based on the T-SFCWHM operator was developed. Further, a practical example was given to illustrate the effectiveness of the proposed method. Finally, a discussion of the findings in our study was con­ ducted, and the conclusions were summarized. Collapse

Topics: digital transformation cloud computing IT strategic planning decision making smart manufacturing

Methods: computational algorithm expert evaluation design science theoretical contribution synthesis

Theories: fuzzy set theory

MediCoSpace: Visual Decision-Support for Doctor-Patient Consultations using Medical Concept Spaces from EHRs

2023 | ACM Transactions on Management Information Systems | Citations: 0

Authors: van der Linden, Sanne; Sevastjanova, Rita; Funk, Mathias; El-Assady, Mennatallah

Abstract: Healthcare systems are under pressure from an aging population, rising costs, an ... Expand

Abstract: Healthcare systems are under pressure from an aging population, rising costs, and increasingly complex conditions and treatments. Although data are determined to play a bigger role in how doctors diagnose and prescribe treatments, they struggle due to a lack of time and an abundance of structured and unstructured information. To address this challenge, we introduce MediCoSpace, a visual decision-support tool for more efficient doctor-patient consultations. The tool links patient reports to past and present diagnoses, diseases, drugs, and treatments, both for the current patient and other patients in comparable situations. MediCoSpace uses textual medical data, deep-learning supported text analysis and concept spaces to facilitate a visual discovery process. The tool is evaluated by five medical doctors. The results show that MediCoSpace facilitates a promising, yet complex way to discover unlikely relations and thus suggests a path toward the development of interactive visual tools to provide physicians with more holistic diagnoses and personalized, dynamic treatments for patients. Collapse

Topics: decision support knowledge base visual analytics knowledge representation healthcare data

Methods: qualitative interview qualitative content analysis exploratory data analysis ontological modelling usability testing

INTRUSIVE SMART HOME ASSISTANTS: AN EXPLORATORY STUDY AND SCALE DEVELOPMENT

2023 | European Conference On Information Systems | Citations: 0

Authors: Raff, Stefan; Wentzel, Daniel

Abstract: Despite having many useful capabilities, more recently smart home assistants (S ... Expand

Abstract: Despite having many useful capabilities, more recently smart home assistants (SHAs) have also raised negative feelings and doubts which may cause resistance among potential users. However, current research has neither examined SHAs from the perspective of resistance nor its specific drivers (inhibitors). We address this gap and adopt a mixed-method research design with two studies that build on each other. Study 1 (N=10) elicits the belief structures underlying resistance to SHAs. Study 2 (N=276) builds on these findings and delves deeper into the understanding of one novel identified inhibitor, namely "perceived intrusion", by taking initial strides towards creating a measurement instrument. Our results contribute to the previously under-researched "dark side" of smart consumer IT by examining the phenomenon of resistance. This way, we hope to inspire future research to expand on our findings, as well as apply our measurement instrument in other smart product contexts. Collapse

Topics: smart device privacy Amazon Echo mobile system knowledge creation

Methods: qualitative interview survey survey design mixed method personal interview

Designing Personality-Adaptive Conversational Agents for Mental Health Care

2022 | Information Systems Frontiers | Citations: 0

Authors: Ahmad, Rangina; Siemon, Dominik; Gnewuch, Ulrich; Robra-Bissantz, Susanne

Abstract: Millions of people experience mental health issues each year, increasing the nec ... Expand

Abstract: Millions of people experience mental health issues each year, increasing the necessity for health-related services. One emerging technology with the potential to help address the resulting shortage in health care providers and other barriers to treatment access are conversational agents (CAs). CAs are software-based systems designed to interact with humans through natural language. However, CAs do not live up to their full potential yet because they are unable to capture dynamic human behavior to an adequate extent to provide responses tailored to users’ personalities. To address this problem, we conducted a design science research (DSR) project to design personality-adaptive conversational agents (PACAs). Following an iterative and multi-step approach, we derive and formulate six design principles for PACAs for the domain of mental health care. The results of our evaluation with psychologists and psychiatrists suggest that PACAs can be a promising source of mental health support. With our design principles, we contribute to the body of design knowledge for CAs and provide guidance for practitioners who intend to design PACAs. Instantiating the principles may improve interaction with users who seek support for mental health issues. Collapse

Topics: personality knowledge base software developer crowdsourcing privacy

Methods: design artifact survey design principle design science kernel theory

Theories: big five model

Credibility of Cyber Threat Communication on Twitter – Expert Evaluation of Indicators for Automated Credibility Assessment

2022 | International Conference on Business Informatics | Citations: 0

Authors: Basyurt, Ali Sercan; Fromm, Jennifer; Stieglitz, Stefan; Mirbabaie, Milad

Abstract: Computer Emergency Response Teams (CERTs) are experts responsible for managing c ... Expand

Abstract: Computer Emergency Response Teams (CERTs) are experts responsible for managing cybersecurity incidents. To identify cyber threats, they consider a wide range of sources from official vulnerability databases to public sources such as Twitter, which has an active cybersecurity community. Due to the high number of topic-related tweets per day, credibility assessment represents an immense effort in the daily work of CERTs. Although approaches for automated credibility assessment have already been developed in previous research, these mainly take peripheral cues into account, although users with domain expertise and a high level of personal involvement also assess contentrelated cues. We therefore conducted interviews with CERT members to reevaluate known indicators for automated credibility assessment from an expert perspective. In doing so, we contribute valuable insights to the development of automated approaches for credibility assessment targeting users with high domain knowledge and personal involvement. Collapse

Topics: Twitter IT security social media situation awareness emergency management

Methods: qualitative interview qualitative content analysis personal interview theoretical contribution expert evaluation