Digital Government Theory: Development and application (Introduction)

2023 | HICSS | Citations: 0

Authors: Wihlborg, E.; Roszczynska-Kurasinska, M.; Busch, P.

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Topics: pandemic

Methods: theoretical contribution case study

Enhancing Your Teaching Methods: An Information Literacy-Based Approach to Developing Course Assignments

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

Authors: Wiley, Jennilyn; Avery, Atiya

Abstract: As information becomes more abundant and accessible, today's workers will find ... Expand

Abstract: As information becomes more abundant and accessible, today's workers will find it critical to develop the soft skills of information literacy. Prior to graduation, students need regular practice evaluating the credibility of common business information sources. To support these goals, we propose and describe a teaching methodology that borrows from the field of librarianship and uses concepts, mindsets, and practices from the study of information literacy. In addition to providing an information literacy-based framework for use when developing course assignments, we offer an extended example that makes use of this approach. Collapse

Topics: artificial intelligence human resource management disinformation misinformation

Methods: literature sample

Human or AI? Using Digital Behavior to Verify Essay Authorship

2023 | International Conference on Information Systems | Citations: 0

Authors: Wilson, David; Burnett, Parker; Valacich, Joseph; Jenkins, Jeff

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Topics: systems design artificial intelligence JavaScript systems evaluation deception detection

Methods: design artifact chatGPT design science experiment design requirement

Open data platforms for transformational entrepreneurship: Inclusion and exclusion mechanisms

2023 | International Journal of Information Management | Citations: 0

Authors: Wainwright, Thomas; Huber, Franz; Stöckmann, Christoph; Kraus, Sascha

Abstract: Open data is considered an important resource to stimulate innovation and create ... Expand

Abstract: Open data is considered an important resource to stimulate innovation and create economic and social value. Open data researchers have examined the importance of data publication by public bodies, but in contrast, much less attention has focused on how open data is exploited. In this paper, we aim to provide insight into the actions of platforms to assist open data exploitation by transformational entrepreneurs, which systemically facilitate transformation in socio-economic development. Our findings investigate two types of mechanism, reflecting the openness of the data movement and the competitive commercial need for closure. First, inclusion mechanisms are social mechanisms of the open data ecosystem which seek to attract a broad range of potential collaborators through supporting entrepreneurs to innovate with open data. Second, exclusion mechanisms are deployed to filter collaborators, to identify those who are seen by platforms to be more likely to successfully exploit their data, or develop revenue sharing relationships. We reveal how these mechanisms are used at different stages of the innovation process, to initially attract a wide pool of collaborators, before seeking to reduce them to better target limited resources. Despite ‘openness’ being a key requirement of open data publication, for successful transformational entrepreneur exploitation, it requires dimensions of closure. Collapse

Topics: innovation management entrepreneurship value creation digital platform open data

Methods: qualitative interview personal interview theoretical contribution business process modeling literature study

Theories: theory of economic development

Create the best first glance: The cross-cultural effect of image background on purchase intention

2023 | Decision Support Systems | Citations: 0

Authors: Wang, Ailian; Pan, Jing; Jiang, Caihong; Jin, Jia

Abstract: As globalization drives more firms toward cross-border e-commerce (CBEC), a well ... Expand

Abstract: As globalization drives more firms toward cross-border e-commerce (CBEC), a well-designed decision support system becomes crucial to gain a competitive edge in the international market. Product images, a vital aspect of the system interface, play a significant role in shaping users’ first impressions, facilitating seller-buyer infor­ mation interaction, and ultimately enhancing users’ decisions making in the system. Across a series of studies, this research investigates the effect of cultural differences (thinking style: holistic vs. analytic) on image back­ ground and reveals the underlying mechanism. Results show that online consumers from cultures characterized by holistic thinking style (Chinese sample) are more prone to purchase products presented with contextual backgrounds than those with white backgrounds, while this effect is absent for online consumers from cultures that tend to think in an analytic way (American sample). This effect is also observed when the thinking style is primed within the culture in separate samples from the United States and China. Study 3 employs eye-tracking technology and shows that holistic thinking, compared to analytic thinking, results in an asymmetry in cognitive effort to purchase the same products framed with contextual and white background images. Specifically, contextual (vs. white) background information greatly assists holistic thinking consumers in understanding the product, enabling them to spend less cognitive effort on product information processing. Instead, the cognitive effort that analytic thinking consumers spare in the product information is not affected by the background. Finally, we discuss theoretical contributions and practical insights for CBEC retailers and system designers that the findings indicate. Collapse

Topics: electronic commerce decision support cross cultural research systems design decision making

Methods: oculometry experiment survey parametric test ANOVA

Firms’ Risk-taking Propensity and IT Signaling Behavior

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Wang, Tina; Zheng, Weijun

Abstract: Signaling theory has been used in a variety of disciplines. However, limited re ... Expand

Abstract: Signaling theory has been used in a variety of disciplines. However, limited research attention has been given to signaling distortion on the signaler's end. Focusing on firms as signalers, this paper examines the influence of firms' risk-taking propensity on firms' IT signaling behavior, in both IT signal volume and IT signal composition (or percentage). Data was collected from COMPUSTAT database and was also collected and coded, based on the extant IT signaling literature, from 160 corporate annual reports (i.e., form 10-K) of 32 companies in three industries across 5 fiscal years (i.e., 2011-2015). Findings suggest that high risk-taking propensity promotes firms' signaling of automate IT investment and signaling different from industry's dominant IT strategic role. Discussions, theoretical and practical implications, as well as limitation and future research are discussed. Collapse

Topics: IT investment database system organizational productivity website

Methods: triangulation theoretical contribution generalized linear model descriptive statistic

Theories: signaling theory

Reflections on Engaging the Business Community to Support Academic Research

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

Authors: Watson, Hugh

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Topics: decision support system artificial intelligence group decision support system big data

Design Principles for Institutionalized Data Ecosystems – Results from a Series of Case Studies

2023 | International Conference on Business Informatics | Citations: 0

Authors: Weber, Patrick; Werling, Maximilian; Baars, Henning

Abstract: Sharing and collaborating on data across organizational boundaries is increasin ... Expand

Abstract: Sharing and collaborating on data across organizational boundaries is increasingly important for building a comprehensive data foundation for a variety of relevant analytical models and reports. We argue that a formalized set of rules and responsibilities -data governance -is needed to guide such data sharing activities and thus provide the foundation for an institutionalized data ecosystem. To this end, we propose a set of design principles. Based on three case studies from different application domains, we derive the design principles using Service-Dominant Logic as our theoretical lens. We distinguish between dynamic and static design principles. Our approach supports the delineation and specification of data governance structures for data ecosystems. Collapse

Topics: digital ecosystem data governance participatory design digital platform business process innovation

Methods: design principle case study literature study design methodology field study

Theories: service-dominant logic

MEDIATING THE TENSION BETWEEN DATA SHARING AND PRIVACY: THE CASE OF DMA AND GDPR

2023 | European Conference On Information Systems | Citations: 0

Authors: Weigl, Linda; Barbereau, Tom; Sedlmeir, Johannes; Zavolokina, Liudmila

Abstract: The Digital Markets Act (DMA) constitutes a crucial part of the European legisl ... Expand

Abstract: The Digital Markets Act (DMA) constitutes a crucial part of the European legislative framework addressing the dominance of 'Big Tech'. It intends to foster fairness and competition in Europe's digital platform economy by imposing obligations on 'gatekeepers' to share end-user-related information with business users. Yet, this may involve the processing of personal data subject to the General Data Protection Regulation (GDPR). The obligation to provide access to personal data in a GDPR-compliant manner poses a regulatory and technical challenge and can serve as a justification for gatekeepers to refrain from data sharing. In this research-in-progress paper, we analyze key tensions between the DMA and the GDPR through the paradox perspective. We argue through a task-technology fit approach how privacyenhancing technologies -particularly anonymization techniques -and portability could help mediate tensions between data sharing and privacy. Our contribution provides theoretical and practical insights to facilitate legal compliance. Collapse

Topics: legal context General Data Protection Regulation privacy differential privacy data protection

Methods: decision tree classification structured literature research computational algorithm synthesis qualitative interview

Theories: theory of task technology fit

A taxonomy for deriving business insights from user-generated content

2023 | European Conference On Information Systems | Citations: 0

Authors: Weingart, Pablo; Wambsganss, Thiemo; Soellner, Matthias

Abstract: Deriving business insights from user-generated content (UGC) is a widely invest ... Expand

Abstract: Deriving business insights from user-generated content (UGC) is a widely investigated phenomenon in information systems (IS) research. Due to its unstructured nature and technical constraints, UGC is still underutilized as a data source in research and practice. Using recent advancements in machine learning research, especially large language models (LLMs), IS researchers can possibly derive these insights more effectively. To guide and further understand the usage of these techniques, we develop a taxonomy that provides an overview of business insights derived from UGC. The taxonomy helps both practitioners and researchers identify, design, compare and evaluate the use of UGC in this IS context. Finally, we showcase an LLM-supported demo application that derives novel business insights and apply the taxonomy to it. In doing so, we show exemplary how LLMs can be used to develop new or extend existing natural language processing (NLP) applications in the realm of IS. Collapse

Topics: database system social network online review social media user-generated content

Methods: natural language processing structured literature research qualitative interview deep learning NLP application