Dima Dajani

442 citations
13 papers · 268 · h-index 6

Impact in

Papers in

Dima Dajani

11 papers receiving 251 citations

Peers

Dima Dajani
Comparison fields: 5 of 61
  • Health Informatics 14
  • Information Systems and Management 69
  • Strategy and Management 109
  • Business and International Management 8
  • Marketing 31
Replace Eddy S. Fang with:
Eddy S. Fang China
Nasser Alhamar Alkathiri Egypt
Vibhav Singh India
Frans Sudirjo Indonesia
Mousa Albashrawi Saudi Arabia
Wajid Hussain Rizvi Pakistan
Kumar Biswas Australia
Moonkyoung Jang South Korea
Arta Antonovica Spain
Loso Judijanto Indonesia
Dima Dajani relative to Eddy S. Fang China Eddy S. Fang's profile →
Citations per field
00.5×3.6×
Eddy S. Fang · 1×
Citations per year

Countries citing papers authored by Dima Dajani

Since Specialization
Citations

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

Fields of papers citing papers by Dima Dajani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Dima Dajani, 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 Dima Dajani Line = papers co-authored together Dima Dajani links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2016126
2 201969
3 202221
4
The applicability of technology acceptance models in the Arab business setting
201619
5 202211
6 20219
7
Using the Unified Theory of Acceptance and Use of Technology to Explain E-commerce Acceptance by Jordanian Travel Agencies
20165
8 20213
9 20202
10
The Impact of E-Communication Strategy Innovation on Consumer Satisfaction
20181
11 20251
12 20251
13 20250

About Dima Dajani

Dima Dajani is a scholar working on Information Systems and Management, Strategy and Management, Artificial Intelligence, Sociology and Political Science and Management Science and Operations Research, having authored 13 papers that have together received 268 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (7 papers), Organizational and Employee Performance (4 papers), Customer Service Quality and Loyalty (2 papers), Organizational Leadership and Management Strategies (2 papers), Innovation and Knowledge Management (2 papers), Innovation Diffusion and Forecasting (1 paper), Economic Growth and Development (1 paper) and Big Data and Business Intelligence (1 paper). The work is most often cited by research in Health Informatics (14 citations), Information Systems and Management (69 citations), Strategy and Management (109 citations), Business and International Management (8 citations) and Marketing (31 citations). Dima Dajani has collaborated with scholars based in Jordan, Iraq and United Arab Emirates. Frequent co-authors include Saad G. Yaseen and Ghaleb A. El Refae. Their work appears in journals such as World Journal of Entrepreneurship Management and Sustainable Development, Journal of Innovation & Knowledge, Computers in Human Behavior, International Journal of Human Capital and Information Technology Professionals and Heliyon.

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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