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Social Sciences · Social Sciences

Information Systems Theories and Implementation
Research Guide

What is Information Systems Theories and Implementation?

Information Systems Theories and Implementation is a research cluster that examines sociomateriality in information systems, focusing on the intertwined social and material elements that shape technology, organizations, and practices through concepts such as design science, actor-network theory, organizational change, affordances, boundary objects, and critical realism.

This field encompasses 33,597 works addressing the interplay between social and material aspects in information systems. Key approaches include design science for artifact creation and actor-network theory for tracing social-material networks. Topics span organizational learning, sensemaking, and digital transformation processes.

Topic Hierarchy

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graph TD D["Social Sciences"] F["Social Sciences"] S["Sociology and Political Science"] T["Information Systems Theories and Implementation"] D --> F F --> S S --> T style T fill:#DC5238,stroke:#c4452e,stroke-width:2px
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33.6K
Papers
N/A
5yr Growth
620.9K
Total Citations

Research Sub-Topics

Why It Matters

Information Systems Theories and Implementation guides the development of effective technologies in organizations by integrating social practices with material artifacts. Hevner et al. (2004) in "Design Science in Information Systems Research1" outline how design science extends behavioral theories to create and evaluate IS artifacts, applied in building systems that improve organizational efficiency. Peffers et al. (2007) in "A Design Science Research Methodology for Information Systems Research" provide a methodology used in over 6,722 cited instances to structure artifact design, enabling practical implementations like enterprise software that align with user practices. Vial (2019) in "Understanding digital transformation: A review and a research agenda" analyzes how sociomaterial changes drive firm-level digital shifts, with examples from strategic information systems adoption yielding measurable performance gains in businesses.

Reading Guide

Where to Start

"Design Science in Information Systems Research1" by Hevner et al. (2004) introduces the core paradigms of behavioral and design science, providing a foundational framework for understanding theory and implementation in IS.

Key Papers Explained

Eisenhardt (1989) in "Building Theories from Case Study Research" establishes case study methods for theory building, extended by Eisenhardt and Graebner (2007) in "Theory Building From Cases: Opportunities And Challenges" to address multiple-case challenges. Hevner et al. (2004) in "Design Science in Information Systems Research1" and Peffers et al. (2007) in "A Design Science Research Methodology for Information Systems Research" build on this by applying case insights to artifact design. Latour (2005) in "Reassembling the Social" provides sociomaterial theory that contextualizes these methods.

Paper Timeline

100%
graph LR P0["Building Theories from Case Stud...
1989 · 23.0K cites"] P1["Organizational Learning and Comm...
1991 · 8.3K cites"] P2["Design Science in Information Sy...
2004 · 9.4K cites"] P3["Design science in information sy...
2004 · 7.7K cites"] P4["Reassembling the Social
2005 · 14.6K cites"] P5["Theory Building From Cases: Oppo...
2007 · 15.5K cites"] P6["A Design Science Research Method...
2007 · 6.7K cites"] P0 --> P1 P1 --> P2 P2 --> P3 P3 --> P4 P4 --> P5 P5 --> P6 style P0 fill:#DC5238,stroke:#c4452e,stroke-width:2px
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Most-cited paper highlighted in red. Papers ordered chronologically.

Advanced Directions

Recent emphasis remains on integrating sociomateriality with design science, as seen in Vial (2019) reviewing digital transformation agendas. No new preprints or news in the last 6-12 months indicate steady consolidation of established methodologies like those in Peffers et al. (2007).

Papers at a Glance

# Paper Year Venue Citations Open Access
1 Building Theories from Case Study Research 1989 Academy of Management ... 23.0K
2 Theory Building From Cases: Opportunities And Challenges 2007 Academy of Management ... 15.5K
3 Reassembling the Social 2005 14.6K
4 Design Science in Information Systems Research1 2004 MIS Quarterly 9.4K
5 Organizational Learning and Communities-of-Practice: Toward a ... 1991 Organization Science 8.3K
6 Design science in information systems research 2004 MIS Quarterly 7.7K
7 A Design Science Research Methodology for Information Systems ... 2007 Journal of Management ... 6.7K
8 Organizing and the Process of Sensemaking 2005 Organization Science 6.4K
9 Understanding digital transformation: A review and a research ... 2019 The Journal of Strateg... 5.5K
10 A Set of Principles for Conducting and Evaluating Interpretive... 1999 MIS Quarterly 5.1K

Frequently Asked Questions

What is design science in information systems research?

Design science seeks to create and evaluate information system artifacts that extend the boundaries of human and organizational capabilities. Hevner et al. (2004) in "Design Science in Information Systems Research1" distinguish it from behavioral science by focusing on utility and rigor in artifact development. This paradigm applies to building tools that solve practical organizational problems.

How does theory building from case studies work in this field?

Theory building uses multiple case studies to develop constructs and propositions through replication logic across cases. Eisenhardt (1989) in "Building Theories from Case Study Research" details steps from case selection to cross-case analysis for emergent theory. Eisenhardt and Graebner (2007) in "Theory Building From Cases: Opportunities And Challenges" highlight challenges like ensuring sharp constructs.

What role does actor-network theory play?

Actor-network theory reassembles the social by tracing associations between human and non-human actors without predefined social assumptions. Latour (2005) in "Reassembling the Social" challenges traditional social explanations by emphasizing relational networks. It applies to analyzing technology implementations in organizations.

What are key principles for interpretive field studies?

Interpretive field studies require principles like addressing multiple interpretations and ensuring researcher reflexivity. Klein and Myers (1999) in "A Set of Principles for Conducting and Evaluating Interpretive Field Studies in Information Systems1" list seven principles for valid evaluation. These guide qualitative IS research on sociomaterial practices.

How does sensemaking contribute to organizational change?

Sensemaking turns circumstances into comprehended situations that enable action in organizations. Weick et al. (2005) in "Organizing and the Process of Sensemaking" position it as filling gaps in organizational theory during change. It links to IS implementations by explaining how actors interpret new technologies.

What is the current state of digital transformation research?

Digital transformation research reviews sociomaterial shifts in organizations, proposing agendas for future studies. Vial (2019) in "Understanding digital transformation: A review and a research agenda" synthesizes impacts on strategy and operations. It remains active with 5,479 citations, focusing on ongoing firm adaptations.

Open Research Questions

  • ? How can design science methodologies better integrate sociomaterial affordances in artifact evaluation?
  • ? What unresolved tensions exist between actor-network theory and critical realism in explaining IS implementations?
  • ? How do communities of practice evolve under digital transformation pressures?
  • ? Which boundary objects most effectively mediate organizational sensemaking during technology change?
  • ? How can case study replication logic address challenges in theory building for complex sociomaterial systems?

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