The Future of Digital Platform Design - The Case of the EU Platform Regulation Discourse

2023 | European Conference On Information Systems | Citations: 1

Authors: Heimburg, Vincent; Schmitt, Julian; Wiesche, Manuel

Abstract: Digital platform research focuses on the mechanisms in digital platform ecosyst ... Expand

Abstract: Digital platform research focuses on the mechanisms in digital platform ecosystems and the dynamics between platform owners, complementors, and end-users. Recent studies are beginning to look beyond the boundaries of narrow platform ecosystems. The development of the European Union's DigitalMarkets Act (DMA) is a revelatory case to study this wider perspective. Hundreds of actors participated in discourses on the regulation, which aims to regulate so-called gatekeeper platforms that are allegedly powerful, unfair to platform users, and incontestable for competitors. By means of a critical discourse analysis, we coded 1720 contributions on the proposed and adopted DMA between June 2020 and July 2022. We identify 72 positions and 14 narratives along five discourses. Our study creates a better understanding of a wider perspective of platform ecosystem structure that goes beyond the triangle of platform owner, complementors, and end users. Collapse

Topics: digital ecosystem closed platform value creation participatory design electronic market

Methods: qualitative coding design methodology qualitative content analysis memoing grounded theory

Market Valuation of Artificial Intelligence Implementation Announcements

2023 | ACM SIGMIS Database | Citations: 0

Authors: Huang, Cheng-Kui (Tony); Lee, Yu-Tsung

Abstract: With the advent of artificial intelligence (AI), more and more enterprises have ... Expand

Abstract: With the advent of artificial intelligence (AI), more and more enterprises have begun developing AI to promote their own competitive advantage and increase their business value. In order to reveal the value-added results of AI implementation, this study adopts an event study methodology to capture the abnormal returns resulting from the announcement of AI implementation. Based on the empirical results of this study, in response to the announcement of AI implementation, we find significant positive abnormal returns on the event day. With respect to the grouping analysis, the results show significant differences in average cumulative abnormal returns between announcements with detailed information and those without detailed information. In addition, our findings present significant differences in average cumulative abnormal returns between IT-companies and non-IT companies on the event day. Ultimately, according to the content analysis, only one characteristic, the frequency of negative words, is modestly and negatively correlated with average cumulative abnormal returns. Collapse

Topics: artificial intelligence organizational value robotic information management Java

Methods: regression analysis method event study longitudinal research qualitative content analysis descriptive statistic

Theories: signaling theory

Exploring Design Characteristics of Data Trustees in Healthcare - Taxonomy and Archetypes

2023 | European Conference On Information Systems | Citations: 0

Authors: Lauf, Florian; Scheider, Simon; Friese, Jana; Kilz, Sarah; Radic, Marija; Burmann, Anja

Abstract: The use of health data provides valuable insights for both research and industr ... Expand

Abstract: The use of health data provides valuable insights for both research and industry comprising the potential to improve services and facilitate the development of innovative solutions in healthcare. However, due to data protection requirements and technical challenges, access to health data is still severely inhibited. To enhance access to and utilization of health data, science and politics increasingly consider data trustee models as a conceivable solution. Yet, such concepts are still in their infancies and hardly known. At the same time, they exhibit strong differences in their design. Thus, to foster awareness about and the development of data trustee models, this study investigates their design characteristics and integrates them into a holistic taxonomy under the lens of European data law. Additionally, design patterns are explored and archetypes derived. The findings reveal that data trustee models in healthcare follow some overarching design patterns and can be assigned to four dominant archetypes. Collapse

Topics: data governance database system business model legal context healthcare data

Methods: focus group literature study archival research design pattern group interview

SMART AGRICULTURE: SUITABLE CROPS FOR AUTONOMOUS SELECTIVE HARVESTING

2023 | European Conference On Information Systems | Citations: 0

Authors: Ockenga, Tim; Hirschmeier, Stefan; Mazur, Philipp; Schoder, Detlef

Abstract: Agriculture is one of the most important economic sectors and essential for our ... Expand

Abstract: Agriculture is one of the most important economic sectors and essential for our daily life. Especially in relation to selectively harvested crops, agriculture is majorly affected by increasing wage demands and workforce shortages. While other industries tackle this issue with increasing automation, the task of harvesting fruit and vegetables is still largely fulfilled manually. Following an overview of selective harvesting robot architecture, this paper addresses the question of which crops are ideally suited for AI-assisted selective harvesting. For this purpose, the state of development of robots for specific crops is evaluated based on performance measurements, and crop characteristics are determined through interviews with domain experts. We found that cauliflower and broccoli have limited suitability, sweet peppers, apple and cucumber have good suitability, and kiwi, strawberry and tomato are most suitable. Collapse

Topics: robotic artificial intelligence innovation management Google Search

Methods: qualitative interview literature study structured literature research qualitative content analysis

Learner Engagement with YouTube Videos in Informal Online Learning: An Investigation of the Effects of Segmenting, Signaling, and Weeding

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

Authors: Shen, Zixing

Abstract: Millions of educational videos available on YouTube offer unprecedented opportu ... Expand

Abstract: Millions of educational videos available on YouTube offer unprecedented opportunities for online learning.As it invites open-ended and self-paced exploration of almost any topic, YouTube has emerged as an important platform for informal online learning that occurs outside the formal classroom. A considerable number of studies have been directed toward YouTube educational videos. However, research on learner engagement with YouTube educational videos is limited, despite the central role of engagement in learning and the increasing popularity of YouTube videos in informal online learning. This paper addresses this research gap. We adopt the conceptualization that learner engagement has three dimensionsbehavioral, emotional, and cognitive -and investigate how the features of segmenting, signaling, and weeding (SSW), the three multimedia learning principles, in YouTube educational video presentations collectively affect learner engagement in informal online learning. Our analysis shows that different SSW features have various associations with the three dimensions of learner engagement. These findings substantiate the empirical knowledge of learner engagement with YouTube educational videos. Our study corroborates extant video engagement research and extends its relevance to informal learning on social media. It also informs video designers and developers on adding video presentation features to optimize video engagement on social media. Collapse

Topics: YouTube online learning system social media Reddit social media analytics

Methods: survey design statistical hypothesis test multiple linear regression design science design guideline

Behind the scenes: The role of writing guideline design in online charitable crowdfunding market

2023 | Information & Management | Citations: 0

Authors: Zhang, Xiaorong; Huang, Hailiang; Xiao, Shengsheng

Abstract: The online charitable crowdfunding platform has emerged as a powerful tool for r ... Expand

Abstract: The online charitable crowdfunding platform has emerged as a powerful tool for raising funds from large crowds to support non-profit activities. Following a patronage model, fundraisers on the platform are forced to use compelling stories to capture the attention of individual donors. As such, conceptualizing a persuasive request narrative for projects posted on the platform becomes one of the most pressing issues. Project writing guidelines, as an important platform design, are widely adopted to help fundraisers. Unfortunately, their role in the market has not been well examined. To fill this research gap, we leverage a unique dataset from a leading donation-based crowdfunding platform in the United States and make full use of its policy change opportunity on writing guidelines to thoroughly investigate its impacts and the underlying mechanism on donors’ contributions. Our empirical results show that the more constraints the guidelines impose on writing, the more likely they are to weaken the persuasiveness of narratives. We specifically focus on three aspects of narrative complexity and find that writing guidelines have a negative impact on linguistic complexity, which in turn diminishes donors’ contribution behavior. Nevertheless, they have positive impacts on both content and structural complexity, with the difference being that increased content complexity weakens donors’ contributions, while higher structural complexity is more likely to attract donations. Moreover, we examine the heterogeneous effects of writing guidelines on fundraisers with varied involvements. These findings deepen our understanding of writing guid­ ance design in online platforms and have implications for charitable crowdfunding platforms and fundraisers. Collapse

Topics: crowdsourcing crowdfunding digital platform project productivity database system

Methods: robustness check statistical hypothesis test descriptive statistic mediation analysis regression analysis method

Theories: cognitive theory expectancy theory of motivation

Does Social Media Accelerate Product Recalls? Evidence from the Pharmaceutical Industry

2022 | Information Systems Research | Citations: 0

Authors: Gao, Yang; Duan, Wenjing; Rui, Huaxia

Abstract: Social media has become a vital platform for voicing product-related experiences ... Expand

Abstract: Social media has become a vital platform for voicing product-related experiences that may not only reveal product defects, but also impose pressure on firms to act more promptly than before. This study scrutinizes the rarely studied relationship between these voices and the speed of product recalls in the context of the pharmaceutical industry in which social media pharmacovigilance is becoming increasingly important for the detection of drug safety signals. Using Federal Drug Administration drug enforcement reports and social media data crawled from online forums and Twitter, we investigate whether social media can accelerate the product recall process in the context of drug recalls. Results based on discrete-time survival analyses suggest that more adverse drug reaction discussions on social media lead to a higher hazard rate of the drug being recalled and, thus, a shorter time to recall. To better understand the underlying mechanism, we propose the information effect, which captures how extracting information from social media helps detect more signals and mine signals faster to accelerate product recalls, and the publicity effect, which captures how firms and government agencies are pressured by public concerns to initiate speedy recalls. Estimation results from two mechanism tests support the existence of these conceptualized channels underlying the acceleration hypothesis of social media. This study offers new insights for firms and policymakers concerning the power of social media and its influence on product recalls. Collapse

Topics: social media Twitter anonymity Google Search database system

Methods: hazard function survival analysis econometric modeling support vector machine robustness check

Where was COVID-19 first discovered? Designing a question-answering system for pandemic situations

2022 | European Conference On Information Systems | Citations: 0

Authors: Graf, Johannes; Lancho, Gino; Zschech, Patrick; Heinrich, Kai

Abstract: The COVID-19 pandemic is accompanied by a massive "infodemic" that makes it har ... Expand

Abstract: The COVID-19 pandemic is accompanied by a massive "infodemic" that makes it hard to identify concise and credible information for COVID-19-related questions, like incubation time, infection rates, or the effectiveness of vaccines. As a novel solution, our paper is concerned with designing a question-answering system based on modern technologies from natural language processing to overcome information overload and misinformation in pandemic situations. To carry out our research, we followed a design science research approach and applied Ingwersen's cognitive model of information retrieval interaction to inform our design process from a socio-technical lens. On this basis, we derived prescriptive design knowledge in terms of design requirements and design principles, which we translated into the construction of a prototypical instantiation. Our implementation is based on the comprehensive CORD-19 dataset, and we demonstrate our artifact's usefulness by evaluating its answer quality based on a sample of COVID-19 questions labeled by biomedical experts. Collapse

Topics: knowledge base pandemic covid 19 database system Elasticsearch

Methods: design artifact design principle design science question answering design requirement

Refining Design Principles for Value-Sensitive Digital Social Innovation to Support Homeless Neighbors

2022 | European Conference On Information Systems | Citations: 0

Authors: Kempfert, Inga; Gebken, Larissa; Raabe, Jun-Patrick

Abstract: Homelessness is a major global challenge. It can have a negative impact on peop ... Expand

Abstract: Homelessness is a major global challenge. It can have a negative impact on people's social, physical, and psychological well-being, which makes those experiencing homelessness a particularly vulnerable group in society. Digital social innovations (DSIs) try to address social issues such as homelessness with the help of digital solutions. Since homeless neighbors are vulnerable, DSIs need to be designed and developed to fit their values and needs. Prior research has contributed design principles (DPs) to be acted upon for the creation of value-sensitive DSIs. However, these DPs have only been abstracted based on one action design research project, implicating a low projectability level. By analyzing these DPs' fitness within currently available DSI applications to support homeless neighbors, we further codify, generalize, and refine them, inducing higher projectability. Researchers and practitioners can draw on our refined DPs to better understand value-sensitive DSI projects and simultaneously use this knowledge for instantiations. Collapse

Topics: mobile application mobile application market digital distribution innovation management database system

Methods: meta analysis literature study survey synthesis structured literature research

Regulating new digital market and its effects on the incumbent market: Investigation of online peer-to-peer short-term rental

2021 | Information & Management | Citations: 0

Authors: Huang, Yuxin; Chen, Yuanyuan; Tan, Chuan Hoo

Abstract: The gig economy’s disruptions on incumbent businesses have raised significant at ... Expand

Abstract: The gig economy’s disruptions on incumbent businesses have raised significant attention from policy-makers. This research focuses on one of the gig economy platforms, the online peer-to-peer (P2P) short-term rental (STR) platform. We examine how the governmental STR interventions affect the long-term rental (LTR) market. Using the prospect theory and the theory in the economics of regulation, we study the relationship between the STR regulations and the LTR rental prices. We find a nonlinear relationship between the STR regulation and the LTR rental prices through analyzing a constructed panel of monthly LTR and STR data from 15 cities across the United States. The nonlinear relationship between these two indicates that STR regulations only have a shortterm impact on the LTR market prices but they cannot effectively contain the negative impacts of STR on the LTR market in the long run. Thus, policy-makers need to find alternative ways to govern the STR businesses. We discussed the related practical implications for gig economy research and policy-making. Collapse

Topics: platform worker Airbnb peer-to-peer model missing data innovation management

Methods: longitudinal research descriptive statistic econometric modeling synthetic control method robustness check

Theories: prospect theory