Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
The imperative of influencing citizen attitude toward e-government adoption and use
2015250 citationsOmar Hujran, Akemi Takeoka Chatfield et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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Countries citing papers authored by Akemi Takeoka Chatfield
Since
Specialization
Citations
This map shows the geographic impact of Akemi Takeoka Chatfield'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 Akemi Takeoka Chatfield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akemi Takeoka Chatfield more than expected).
Fields of papers citing papers by Akemi Takeoka Chatfield
This network shows the impact of papers produced by Akemi Takeoka Chatfield. 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 Akemi Takeoka Chatfield. The network helps show where Akemi Takeoka Chatfield may publish in the future.
Co-authorship network of co-authors of Akemi Takeoka Chatfield
This figure shows the co-authorship network connecting the top 25 collaborators of Akemi Takeoka Chatfield.
A scholar is included among the top collaborators of Akemi Takeoka Chatfield 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 Akemi Takeoka Chatfield. Akemi Takeoka Chatfield is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Chatfield, Akemi Takeoka, et al.. (2019). Rethinking Public Value Co-Creation in Smart City Ecosystems: A Meta-Analysis of Smart City Case Studies. Journal of the Association for Information Systems.3 indexed citations
2.
Chatfield, Akemi Takeoka & Christopher G. Reddick. (2019). Blockchain investment decision making in central banks: A status quo bias theory perspective. Journal of the Association for Information Systems. 1.4 indexed citations
Brajawidagda, Uuf & Akemi Takeoka Chatfield. (2016). The impact of social media policy and use on value creation: a survey research. Research Online (University of Wollongong). 354.1 indexed citations
Chatfield, Akemi Takeoka, et al.. (2015). Capability challenges in transforming government through open and big data: tales of two cities. Research Online (University of Wollongong). 1.25 indexed citations
7.
Chatfield, Akemi Takeoka, et al.. (2014). Data scientists as game changers in big data environments. Research Online (University of Wollongong). 1.23 indexed citations
8.
Chatfield, Akemi Takeoka, et al.. (2013). Service Quality, Citizen Satisfaction, and Loyalty with Self-Service Delivery Options: A Strategic Imperative for Transforming E-Government Services. Journal of the Association for Information Systems. 1–12.3 indexed citations
Chatfield, Akemi Takeoka & Samuel Fosso Wamba. (2012). A SOCIOMATERIAL APPROACH TO CO-CREATING RFID VALUE IN A MULTI -FIRM SUPPLY CHAIN KNOWLEDGE SHARING ENVIRONMENT : A LONGITUDINAL CASE STUDY. International Conference on Information Systems. 1.2 indexed citations
12.
Chatfield, Akemi Takeoka, et al.. (2012). Sharing government-owned data with the public: a cross-country analysis of open data practice in the Middle East. Journal of the Association for Information Systems.28 indexed citations
13.
Chatfield, Akemi Takeoka, et al.. (2011). Promises and successful practice in IT governance: a survey of Australian senior IT managers. Journal of the Association for Information Systems. 49.11 indexed citations
14.
Wamba, Samuel Fosso & Akemi Takeoka Chatfield. (2009). A contingency model for creating value from RFID supply chain network projects in logistics and manufacturing environments. Research Online (University of Wollongong).2 indexed citations
15.
Chatfield, Akemi Takeoka & Omar Hujran. (2007). E-government evaluation: a user-centric perspective for public value proposition. Research Online (University of Wollongong). 53–59.12 indexed citations
16.
Chatfield, Akemi Takeoka & Niels Bjørn‐Andersen. (2000). The impact of IOS-enabled business process change on business outcomes: transformation of the value chain of Japan Airlines. Research Online (University of Wollongong). 315–340.30 indexed citations
17.
Chatfield, Akemi Takeoka & Kim Viborg Andersen. (1998). Playing with lego: IT, coordination and global supply management in a world leader toy manufacturing enterprlse.. European Conference on Information Systems. 1680–1687.5 indexed citations
18.
Chatfield, Akemi Takeoka & Philip Yetton. (1998). Moderating effect of EDI embeddedness on time-based strategic capabilities.. European Conference on Information Systems. 853–868.3 indexed citations
19.
Chatfield, Akemi Takeoka, et al.. (1997). Small and Medium-sized Enterprises in Electronic Commerce: A Case Study of Barriers to Financial EDI Adoption.. European Conference on Information Systems. 1219–1233.1 indexed citations
20.
Chatfield, Akemi Takeoka & Niels Bjørn‐Andersen. (1996). Reengineering with EDI: a Trojan Horse in Circumventing Non-Tariff Barriers to Trade.. European Conference on Information Systems. 1197–1212.6 indexed citations
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.