Wadie Nasri

915 citations
24 papers · 655 · h-index 10

Impact in

Papers in

Wadie Nasri

23 papers receiving 560 citations

Peers

Wadie Nasri
Comparison fields: 5 of 55
  • Information Systems and Management 379
  • Strategy and Management 214
  • Management Information Systems 125
  • Marketing 106
  • Organizational Behavior and Human Resource Management 105
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Katri Kerem Estonia
Suchart Tripopsakul Thailand
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Winnie Ng Picoto Portugal
Siew‐Phaik Loke Malaysia
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Citations per year

Countries citing papers authored by Wadie Nasri

Since Specialization
Citations

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

Fields of papers citing papers by Wadie Nasri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012282
2 2011125
3 201066
4
An Exploration of Facebook.Com Adoption in Tunisia Using Technology Acceptance Model (TAM) and Theory of Reasoned Action (TRA)
201232
5 201223
6
Conceptual Model of Strategic Benefits of Competitive Intelligence Process
201222
7 201118
8 201311
9 20139
10 20219
11
Empirical Analysis of Internet Banking Adoption in Tunisia
20148
12 20148
13 20138
14 20198
15 20138
16 20214
17 20234
18
DETERMINANTS INFLUENCING CITIZENS' INTENTION TO USE e-Gov IN THE STATE OF KUWAIT: APPLICATION OF UTAUT
20154
19 20241
20 20141

About Wadie Nasri

Wadie Nasri is a scholar working on Information Systems and Management, Strategy and Management, Sociology and Political Science, Organizational Behavior and Human Resource Management and Political Science and International Relations, having authored 24 papers that have together received 655 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (16 papers), Digital Marketing and Social Media (9 papers), Competitive and Knowledge Intelligence (7 papers), Business Strategy and Innovation (5 papers), Organizational and Employee Performance (4 papers), Customer Service Quality and Loyalty (4 papers), E-Government and Public Services (4 papers) and Digital Platforms and Economics (3 papers). The work is most often cited by research in Information Systems and Management (379 citations), Strategy and Management (214 citations), Management Information Systems (125 citations), Marketing (106 citations) and Organizational Behavior and Human Resource Management (105 citations). Wadie Nasri has collaborated with scholars based in Tunisia and Saudi Arabia. Frequent co-authors include Lanouar Charfeddine and Anis Allagui. Their work appears in journals such as The Journal of High Technology Management Research, Journal of Enterprise Information Management, International Journal of E-Business Research, Asian Economic and Financial Review and Jordan Journal of Business Administration.

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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