Lauren B. Eder
- Information Systems and Management top 2%
- Sociology and Political Science top 10%
- Management Information Systems top 10%
- Communication top 10%
- Strategy and Management
- Co-authors
- Jia ShenMagid IgbariaCatherine M. RidingsJ. Drew ProcaccinoBay ArinzeYvonne Lederer Antonucci
- Topics
- Technology Adoption and User Behaviour (9 papers)Digital Marketing and Social Media (5 papers)Knowledge Management and Sharing (3 papers)
- Partner nations
- United StatesIsrael
In The Last Decade
Lauren B. Eder
15 papers receiving 304 citations
Peers
Comparison fields: 5 of 61
- Information Systems and Management 208
- Sociology and Political Science 154
- Management Information Systems 57
- Communication 55
- Strategy and Management 51
Countries citing papers authored by Lauren B. Eder
This map shows the geographic impact of Lauren B. Eder's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lauren B. Eder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lauren B. Eder more than expected).
Fields of papers citing papers by Lauren B. Eder
This network shows the impact of papers produced by Lauren B. Eder. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lauren B. Eder. The network helps show where Lauren B. Eder may publish in the future.
Co-authorship network of co-authors of Lauren B. Eder
This figure shows the co-authorship network connecting the top 25 collaborators of Lauren B. Eder. A scholar is included among the top collaborators of Lauren B. Eder based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lauren B. Eder. Lauren B. Eder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Developing a Framework to Understand Student Engagement, Team Dynamics, and Learning Outcomes Using ERPsim | 2 |
| 2 | 46 | |
| 3 | 5 | |
| 4 | Exploring Intentions to Use Virtual Worlds for Business | 40 |
| 5 | Intentions to Use Virtual Worlds for Education | 84 |
| 6 | Determining Factors in the Acceptance of Social Shopping Websites | 25 |
| 7 | Intentions to Use Virtual Worlds: An Exploratory Study. | 6 |
| 8 | 1 | |
| 9 | Teaching Case : The Transformation of AT&T's Enterprise Network Systems Group to Avaya: Enabling the Virtual Corporation through Reengineering and Enterprise Resource Planning. | 9 |
| 10 | 106 | |
| 11 | 4 | |
| 12 | 9 | |
| 13 | 17 | |
| 14 | 1 | |
| 15 | 12 | |
| 16 | 1 |
About Lauren B. Eder
Lauren B. Eder is a scholar working on Information Systems and Management, Human-Computer Interaction and Communication, having authored 16 papers that have together received 368 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (9 papers), Digital Marketing and Social Media (5 papers) and Knowledge Management and Sharing (3 papers). The work is most often cited by research in Information Systems and Management (208 citations), Communication (55 citations) and Human-Computer Interaction (37 citations). Lauren B. Eder has collaborated with scholars based in United States and Israel. Frequent co-authors include Jia Shen, Magid Igbaria, Catherine M. Ridings, J. Drew Procaccino, Bay Arinze and Yvonne Lederer Antonucci. Their work appears in journals such as Communications of the ACM, Journal of the Association for Information Systems and Omega.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.