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Steinberger Tom

Korea Advanced Institute of Science and Technology · 経営学

研究室紹介

Professor Steinberger Tom's research lab focuses on the socio-technical dimensions of technology use, particularly how people in specialized domains—such as craft brewing, electronics repair, and grief support—interact with data, artifacts, and digital tools in contextually grounded ways. The lab explores how domain experts, people with visual impairments, and marginalized user groups engage with technology beyond technical functionality, emphasizing situated practices, meaning-making, and the negotiation of stability in repair and memory work. Central themes include data practices in non-technical domains, inclusive design for accessibility, and the role of context and content in digital photo use for emotional and social continuity.

data practicesaccessibilityrepair workmeaning-makingdomain expertise

Research Overview

Papers
15
Total Citations
154
Papers (5y)
14
Primary Field
経営学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
14total
2021
2022
2023
2024
2025
Citations per year (5y)
152total
20212022202320242025

Selected Papers

15
1
Article|82 citations·2021
Organizations as Artificial Intelligences: The Use of Artificial Intelligence Analogies in Organization Theory
Felipe A. Csaszar, Tom Steinberger
SJR Q1Academy of Management Annals

A rarely acknowledged fact about organization theory (OT) is that many of its ideas stem from the field of artificial intelligence (AI). For example, key OT concepts such as problemistic search, he...

Management of Technology and InnovationBusiness, Management and Accounting
2
Article|24 citations·2022
How Domain Experts Work with Data: Situating Data Science in the Practices and Settings of Craftwork
Ju Yeon Jung, Tom Steinberger, John Leslie King, Mark S. Ackerman
SJR Q1Proceedings of the ACM on Human-Computer Interaction

Domain experts play an essential role in data science by helping data scientists situate their technical work beyond the statistical analysis of large datasets. How domain experts themselves may engage with data science tools as a type of end-user remains largely invisible. Understanding data science as domain expert-driven depends on understanding how domain experts use data. Drawing on an ethnographic study of a craft brewery in Korea, we show how craft brewers worked with data by situating ot

Computer Vision and Pattern RecognitionComputer Science
3
Article|17 citations·2022
“So What? What's That to Do With Me?” Expectations of People With Visual Impairments for Image Descriptions in Their Personal Photo Activities
Ju Yeon Jung, Tom Steinberger, Junbeom Kim, Mark S. Ackerman
Designing Interactive Systems Conference

People with visual impairments (PVI) access photos through image descriptions. Thus far, research has studied what PVI expect in these descriptions mostly regarding functional purposes (e.g., identifying an object) and when engaging with online, publicly available images. Extending this research, we interviewed 30 PVI to understand their expectations for image descriptions when viewing, taking, searching, and reminiscing with personal photos on their own devices. We show how their expectations v

Computer Vision and Pattern RecognitionComputer Science
4
Article|13 citations·2021
Negotiating Repairedness: How Artifacts Under Repair Become Contingently Stabilized
Ju Yeon Jung, Tom Steinberger, John Leslie King, Mark S. Ackerman
SJR Q1Proceedings of the ACM on Human-Computer Interaction

This paper examines "repairedness" - the contingently stable, working version of an artifact under repair that is negotiated out of multiple possible versions to bring about the temporary conclusion of repair work. Our paper draws on an ethnographic study of an analog electronics repair community in Seoul, South Korea to develop two contributions. First, studying processes of negotiating the repairedness of an artifact accounts for contingency in the properties of the artifact itself, which diff

Human-Computer InteractionComputer Science
5
Article|5 citations·2023
Exploring trends in blockchain publications with topic modeling: Implications for forecasting the emergence of industry applications
Jeongho Lee, Hangjung Zo, Tom Steinberger
SJR Q2ETRI JournalOA

Abstract Technological innovation generates products, services, and processes that can disrupt existing industries and lead to the emergence of new fields. Distributed ledger technology, or blockchain, offers novel transparency, security, and anonymity characteristics in transaction data that may disrupt existing industries. However, research attention has largely examined its application to finance. Less is known of any broader applications, particularly in Industry 4.0. This study investigates

Information SystemsComputer Science
6
Article|3 citations·2023
How Bereaved Parents Make Meaning from Photos for Continuing Bonds
Ju Yeon Jung, Tom Steinberger, John Leslie King, Mark S. Ackerman

The bereaved interact with photos of the deceased in various ways to maintain continuing bonds. Extant research in HCI and interaction design suggests leveraging data on photos’ contexts (e.g., time and place) to support photo use by the bereaved. Extending this research, we interviewed 17 bereaved parents to examine how the bereaved might also interact with photos’ content (e.g., color schemes, facial expressions). We characterize their interactions as processes of meaning-making that enabled t

Clinical PsychologyPsychology
7
Article|2 citations·2023
Towards Actionable Data Science: Domain Experts as End-Users of Data Science Systems
Ju Yeon Jung, Tom Steinberger, Chaehan So
SJR Q2Computer Supported Cooperative Work (CSCW)
Information Systems and ManagementDecision Sciences
8
Article|2 citations·2023
Open innovation strategy and performance of SMEs in the IT industry located in Korea’s innovation clusters: the role of government subsidies
Soo Chang Son, Hangjung Zo, Myeongki Jeong, Tom Steinberger
SJR Q2Asian Journal of Technology Innovation

This study examines the effect of small and medium-sized enterprises (SMEs)’ open innovation activities on performance, depending on the growth stage. It also studies the mediating effect of government subsidies on SMEs’ innovation performance. We collected data from 452 SMEs in the information technology (IT) industry located in Korea’s innovation clusters. The findings show that SMEs’ absorptive capacity and external network activities positively influence their performance, with stronger effe

Economics and EconometricsEconomics, Econometrics and Finance
9
Article|2 citations·2019
Designing the microstructure of routines
Tom Steinberger, Ju Yeon Jung
SJR Q3Journal of Organization DesignOA

Abstract Coordinating organizational routines is a strategic challenge in contexts ranging from healthcare to software development. Yet, we have few theories of the design of routines. This paper compares field data on routines at two Korean restaurants to theorize their design. We identified a core coordination challenge as the need for concurrency—the simultaneous coordination of diverse activities of indeterminate order. The restaurants enabled concurrency using distinct solutions for providi

Strategy and ManagementBusiness, Management and Accounting
10
Article|2 citations·2021
Data Models as Organizational Design: Coordinating beyond Boundaries Using Artificial Intelligence
Tom Steinberger, Margarethe F. Wiersema
Strategic Management Review

Organizational design scholars observe that advances in information technology are helping blur the boundaries between a firm's internal and external activities. Yet, despite the central role of information processing in managing the coordination of activities within the firm, we know little about the firm's ability to process information beyond its boundaries. We provide a framework for understanding the coordination of activities beyond the firm's boundaries in terms of micro-structural soluti

Strategy and ManagementBusiness, Management and Accounting
11
Preprint|1 citations·2022
Domain experts as owners of data: towards sustainable data science
Ju Yeon Jung, Tom Steinberger, Chaehan So
Research SquareOA
Information Systems and ManagementDecision Sciences
12
Article|1 citations·2022
Exploring Trends in Blockchain Publications with Topic Modeling: Implications for Forecasting the Emergence of Industry Applications
Jeongho Lee, Hang Jung Zo, Tom Steinberger
SSRN Electronic JournalOA
General Social SciencesSocial Sciences
13
Article|0 citations·2024
Data as a Strategic Resource beyond Predictive Analytics
Tom Steinberger, Ju Yeon Jung, L. Cho
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System SciencesOA

Extending IS theories of data and strategy that assume data are ultimately used for predictive analytics, this paper explores how data may be used as a strategic resource beyond the statistical predictions of analytics tools.Our point of view is that a choice exists of which relations in data -abstract statistical relations for predictive analytics, or domain-specific conceptual relations for understanding -are to be enrolled in knowledge creation.We present evidence from the choice of data vari

Management Information SystemsBusiness, Management and Accounting
14
Article|0 citations·2025
Modes of Interaction with Navigation Apps
Ju Yeon Jung, Tom Steinberger
OA

Despite many HCI studies of diverse factors shaping users’ navigation experiences, how to design navigation systems to be adaptable to all of these factors remains a challenge. To address this challenge, we study general variations in users’ intended navigation experiences. Based on 30 interviews, we find that interactions with navigation apps can be subsumed under three “modes”: follow, modify, and background. For each mode of interaction, we highlight users’ key motivations, interactions with

Automotive EngineeringEngineering
15
Article|0 citations·2021
Organizations as Artificial Intelligences: The Use of Artificial Intelligence Analogies in Organization Theory
Felipe A. Csaszar, Tom Steinberger
SSRN Electronic JournalOA

A rarely acknowledged fact about organization theory (OT) is that many of its ideas stem from the field of artificial intelligence (AI). For example, key OT concepts such as problemistic search, heuristics, exploration, requisite variety, and organizational scripts, all have their roots in AI. The main goal of this paper is to expose the full range of AI ideas that have been used in OT. We do so by explaining key AI ideas and showing how OT used them. Our review covers over 100 OT works that dep

Strategy and ManagementBusiness, Management and Accounting

Research Areas

Strategy and ManagementComputer Vision and Pattern RecognitionInformation Systems and ManagementManagement of Technology and InnovationHuman-Computer InteractionInformation Systems

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