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Stephan Aier
Title
Prof. Dr.
Last Name
Aier
First name
Stephan
Email
stephan.aier@unisg.ch
ORCID
Phone
+41 71 224 3360
Google Scholar
Now showing
1 - 10 of 117
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PublicationEnterprise-Level IS Research – Need, Conceptualization, Exemplary Knowledge Contributions and Future Opportunities( 2024)
;Benedict BenderEnterprise solutions, specifically enterprise sys-tems, have allowed companies to integrate enter-prises’ operations throughout. The integration scope of enterprise solutions has increasingly widened, now often covering customer activities, activities along supply chains, and platform ecosystems. IS research has contributed a wide range of explanatory and de-sign knowledge dealing with this class of IS. During the last two decades, many technological as well as managerial/organizational innovations extended the affordances of enterprise solutions—but this broader scope also challenges traditional approaches to their analysis and design. This position paper presents an enterprise-level (i.e., cross-solution) perspective on IS, discusses the challenges of complexity and coordi-nation for IS design and management, presents se-lected enterprise-level insights for IS coordination and governance, and explores avenues towards a more comprehensive body of knowledge on this important level of analysis.Type: conference paper -
PublicationUser Acceptance of Business Information Systems and their Influence on Organizational Performance An agent-based model( 2023)
;Bieli, Janick ThomasIn the past, great efforts have been made in the field of business information systems acceptance and usage to better understand, which parameters influence the acceptance and use. However, often those studies remain on the individual level of analysis. In the paper at hand, we extent existing research to the organizational level and allow for an analysis over time employing data from an agent-based simulation model. We find that the environmental complexity negatively affects acceptance and usage of business information systems, which eventually leads to a decreased organizational performance. This has implications for the management of business information systems in changing environments.Type: conference paper -
PublicationType: conference paper
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PublicationDesign Decisions in Behavioral Experiments: A Review of Information Systems Research( 2021-12-12)Behavioral experiments are a highly suitable method for testing theories, as they can establish causality while controlling for other confounding factors. However, researchers that aim to conduct and publish such studies face various concerns about the methodological approach. A lack of clarity exists in our field as to which related practices and design decisions are legitimate and accepted. To address this issue, we present a structured literature review that analyzes the designs of 168 behavioral experiments published in the Senior Scholars’ Basket of journals. We find that most experiments are confirmatory, individual-level, between-subjects laboratory experiments. At the same time, we find that some under-represented experiment designs, such as exploratory online experiments, may bear potential for identifying new behaviors and constructing new or proper-to-IS theories. This paper contains an in-depth discussion on the findings and provides decision support to IS researchers that seek to design and publish behavioral experiments.Type: conference paper
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PublicationIntra-Organizational Nudging: Designing a Label for Governing Local Decision-Making( 2021-10-16)Even though organizations may plan for long-term enterprise-wide ob-jectives, they are shaped by local decision-maker’s actions. The latter tend to have conflicting goals, such as short-term and immediate satis-faction of local business needs over organization-wide objectives. While local and diverse decision-making enables specialized products and services, ungoverned behavior may lead organizations that are hard to control and manage. Hence, the challenge is to harness, rather than eliminate decentral autonomy by reaping its benefits while limit-ing its downsides. Pursuing this purpose, this Design Science Research (DSR) study presents the creation and evaluation of a governance mechanism: a nudge-based label. It also contains a set of design fea-tures, which are evaluated quantitatively and qualitatively with expert surveys and discussions. The contributions include design knowledge about labels and the investigation of nudging as an intra-organizational governance mechanism.Type: conference paper
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PublicationIs more always better? Simulating Feedback Exchange in Organizations(Proceedings of the International Conference on Wirtschaftsinformatik (WI), 2021)Rivera, MichaelType: conference paper
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PublicationType: conference paperJournal: WITS, the Workshop on Information Technologies and Systems
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PublicationTaming Complexity in Business Ecosystems: Investigating the Role of Platforms( 2021)
;Tanriverdi, HüseyinType: conference paper -
PublicationPLATFORM OVER MARKET – WHEN IS JOINING A PLATFORM BENEFICIAL?( 2021)
;Tanriverdi, HüseyinFirms struggle to meet dynamically changing customers’ needs. One challenge is to navigate a complex search space to find resources needed for innovations that meet customers’ needs. Another challenge is to acquire the resources at lower costs than revenue opportunities to yield profitability. Digital platforms promise to address these challenges better than the market by providing search matching capabilities and modular, reusable resources. We examine whether platforms improve innovation performance and profitability of firms better than the market, as assumed. Using agent-based modeling and simulation, we find that firms perform better in the market when environmental complexity is low. As environmental complexity increases, firms start to perform better on the platform than in the market, specifically when the platform owner remarkably invests in search matching and modularity capabilities. The study advances our understanding of the environmental conditions under which platforms could be superior or inferior to the market.Type: conference paper -
PublicationTaxonomy of Digital Platforms: A Business Model Perspective( 2021)Digital platforms (DPs) – technical core artifacts augmented by peripheral third-party complementary resources – facilitate the interaction and collaboration of different actors through highly-efficient resource matching. As DPs differ significantly in their configurations and applications, it is important from both a descriptive and a design perspective to define classes of DPs. As an intentionally designed artifact, every classification pursues a certain purpose. In this research, the purpose is to classify DPs from a business model perspective, i.e. to identify DP clusters that each share a similar business model type. We follow Nickerson et al.’s (2013) method for taxonomy development. By validating the conceptually derived design dimensions with ten DP cases, we identify platform structure and platform participants as the major clustering constituent characteristics. Building on the proposed taxonomy, we derive four DP archetypes that follow distinct design configurations, namely business innovation platforms, consumer innovation platforms, business exchange platforms and consumer exchange platforms.Type: conference paper