Edward Boon

1.0k citations
13 papers · 692 · 1 hit paper · h-index 8

Impact in

Papers in

Edward Boon

13 papers receiving 653 citations

Edward Boon's Hit Papers

How blockchain technologies impact your business model 2019 · 452 citations
4520+2+4Years since publication100200300400

Peers

Edward Boon
Comparison fields: 5 of 69
  • Management Information Systems 255
  • Marketing 174
  • Information Systems 374
  • Business and International Management 19
  • Strategy and Management 140
Replace Tatiana Zalan with:
Tatiana Zalan Australia
Matteo Montecchi United Kingdom
Ashish Kumar Jha Ireland
Christoph Müller-Bloch Denmark
Thomas Kude Germany
Nir Kshetri United States
Vishnu Nath India
Shilun Ge China
Geetika Jain India
Maarit Tihinen Finland
Edward Boon relative to Tatiana Zalan Australia Tatiana Zalan's profile →
Citations per field
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Tatiana Zalan · 1×
Citations per year

Countries citing papers authored by Edward Boon

Since Specialization
Citations

This map shows the geographic impact of Edward Boon'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 Edward Boon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Boon more than expected).

Fields of papers citing papers by Edward Boon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward Boon. 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 Edward Boon. The network helps show where Edward Boon may publish in the future.

Co-authors

The 8 scholars most cited alongside Edward Boon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Edward Boon Line = papers co-authored together Edward Boon links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
How blockchain technologies impact your business model
Hit paper breakdown →
2019452
2 2016116
3 201529
4 201323
5 201219
6 202116
7 201310
8 20157
9 20135
10 20165
11 20165
12 20194
13
Managing customer-to-customer interactions in group services
20181

About Edward Boon

Edward Boon is a scholar working on Marketing, Sociology and Political Science, Organizational Behavior and Human Resource Management, Strategy and Management and Information Systems and Management, having authored 13 papers that have together received 692 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (6 papers), Customer Service Quality and Loyalty (5 papers), Consumer Retail Behavior Studies (3 papers), Technology Adoption and User Behaviour (3 papers), FinTech, Crowdfunding, Digital Finance (2 papers), Blockchain Technology Applications and Security (2 papers), Digital Platforms and Economics (2 papers) and Consumer Behavior in Brand Consumption and Identification (2 papers). The work is most often cited by research in Management Information Systems (255 citations), Marketing (174 citations), Information Systems (374 citations), Business and International Management (19 citations) and Strategy and Management (140 citations). Edward Boon has collaborated with scholars based in Sweden, Canada and United Kingdom. Frequent co-authors include Jeannette Paschen, Leyland Pitt, Terrence Brown, Esmail Salehi‐Sangari, Ian P. McCarthy, Nir Ofek, Linda W. Lee and Jan Kietzmann. Their work appears in journals such as Business Horizons, Journal of Public Affairs, Tourism Management, International Journal of Market Research and Tourism and Hospitality Research.

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.

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